| 1 | #pragma once |
|---|---|
| 2 | |
| 3 | // @generated by torchgen/gen.py from RedispatchFunctions.h |
| 4 | |
| 5 | #ifdef TORCH_ASSERT_ONLY_METHOD_OPERATORS |
| 6 | #error This change adds a dependency on all pytorch operators, meaning the \ |
| 7 | file will need to be re-compiled every time an operator is changed or added. \ |
| 8 | Consider using the at::_ops::{name}::redispatch() interface by including \ |
| 9 | the specific operator from <ATen/ops/{my_operator}_ops.h> |
| 10 | #endif |
| 11 | |
| 12 | #include <c10/core/Scalar.h> |
| 13 | #include <ATen/Tensor.h> |
| 14 | #include <c10/core/Storage.h> |
| 15 | #include <ATen/core/Generator.h> |
| 16 | #include <c10/util/Deprecated.h> |
| 17 | #include <ATen/DeviceGuard.h> |
| 18 | #include <c10/core/TensorOptions.h> |
| 19 | #include <ATen/core/Reduction.h> |
| 20 | #include <c10/util/Optional.h> |
| 21 | #include <ATen/TensorUtils.h> |
| 22 | #include <ATen/Context.h> |
| 23 | #include <ATen/TracerMode.h> |
| 24 | #include <ATen/Operators.h> |
| 25 | |
| 26 | namespace at { |
| 27 | |
| 28 | namespace redispatch { |
| 29 | |
| 30 | // aten::_cast_Byte(Tensor self, bool non_blocking=False) -> Tensor |
| 31 | inline at::Tensor _cast_Byte(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 32 | return at::_ops::_cast_Byte::redispatch(dispatchKeySet, self, non_blocking); |
| 33 | } |
| 34 | |
| 35 | // aten::_cast_Char(Tensor self, bool non_blocking=False) -> Tensor |
| 36 | inline at::Tensor _cast_Char(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 37 | return at::_ops::_cast_Char::redispatch(dispatchKeySet, self, non_blocking); |
| 38 | } |
| 39 | |
| 40 | // aten::_cast_Double(Tensor self, bool non_blocking=False) -> Tensor |
| 41 | inline at::Tensor _cast_Double(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 42 | return at::_ops::_cast_Double::redispatch(dispatchKeySet, self, non_blocking); |
| 43 | } |
| 44 | |
| 45 | // aten::_cast_Float(Tensor self, bool non_blocking=False) -> Tensor |
| 46 | inline at::Tensor _cast_Float(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 47 | return at::_ops::_cast_Float::redispatch(dispatchKeySet, self, non_blocking); |
| 48 | } |
| 49 | |
| 50 | // aten::_cast_Int(Tensor self, bool non_blocking=False) -> Tensor |
| 51 | inline at::Tensor _cast_Int(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 52 | return at::_ops::_cast_Int::redispatch(dispatchKeySet, self, non_blocking); |
| 53 | } |
| 54 | |
| 55 | // aten::_cast_Long(Tensor self, bool non_blocking=False) -> Tensor |
| 56 | inline at::Tensor _cast_Long(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 57 | return at::_ops::_cast_Long::redispatch(dispatchKeySet, self, non_blocking); |
| 58 | } |
| 59 | |
| 60 | // aten::_cast_Short(Tensor self, bool non_blocking=False) -> Tensor |
| 61 | inline at::Tensor _cast_Short(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 62 | return at::_ops::_cast_Short::redispatch(dispatchKeySet, self, non_blocking); |
| 63 | } |
| 64 | |
| 65 | // aten::_cast_Half(Tensor self, bool non_blocking=False) -> Tensor |
| 66 | inline at::Tensor _cast_Half(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking=false) { |
| 67 | return at::_ops::_cast_Half::redispatch(dispatchKeySet, self, non_blocking); |
| 68 | } |
| 69 | |
| 70 | // aten::_backward(Tensor self, Tensor[] inputs, Tensor? gradient=None, bool? retain_graph=None, bool create_graph=False) -> () |
| 71 | inline void __dispatch__backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList inputs, const c10::optional<at::Tensor> & gradient={}, c10::optional<bool> retain_graph=c10::nullopt, bool create_graph=false) { |
| 72 | return at::_ops::_backward::redispatch(dispatchKeySet, self, inputs, gradient, retain_graph, create_graph); |
| 73 | } |
| 74 | |
| 75 | // aten::set_data(Tensor(a!) self, Tensor new_data) -> () |
| 76 | inline void __dispatch_set_data(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & new_data) { |
| 77 | return at::_ops::set_data::redispatch(dispatchKeySet, self, new_data); |
| 78 | } |
| 79 | |
| 80 | // aten::data(Tensor self) -> Tensor |
| 81 | inline at::Tensor __dispatch_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 82 | return at::_ops::data::redispatch(dispatchKeySet, self); |
| 83 | } |
| 84 | |
| 85 | // aten::is_leaf(Tensor self) -> bool |
| 86 | inline bool __dispatch_is_leaf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 87 | return at::_ops::is_leaf::redispatch(dispatchKeySet, self); |
| 88 | } |
| 89 | |
| 90 | // aten::output_nr(Tensor self) -> int |
| 91 | inline int64_t __dispatch_output_nr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 92 | return at::_ops::output_nr::redispatch(dispatchKeySet, self); |
| 93 | } |
| 94 | |
| 95 | // aten::_version(Tensor self) -> int |
| 96 | inline int64_t __dispatch__version(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 97 | return at::_ops::_version::redispatch(dispatchKeySet, self); |
| 98 | } |
| 99 | |
| 100 | // aten::requires_grad_(Tensor(a!) self, bool requires_grad=True) -> Tensor(a!) |
| 101 | inline at::Tensor & __dispatch_requires_grad_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, bool requires_grad=true) { |
| 102 | return at::_ops::requires_grad_::redispatch(dispatchKeySet, self, requires_grad); |
| 103 | } |
| 104 | |
| 105 | // aten::retain_grad(Tensor(a!) self) -> () |
| 106 | inline void __dispatch_retain_grad(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 107 | return at::_ops::retain_grad::redispatch(dispatchKeySet, self); |
| 108 | } |
| 109 | |
| 110 | // aten::retains_grad(Tensor self) -> bool |
| 111 | inline bool __dispatch_retains_grad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 112 | return at::_ops::retains_grad::redispatch(dispatchKeySet, self); |
| 113 | } |
| 114 | |
| 115 | // aten::_fw_primal(Tensor(a) self, int level) -> Tensor(a) |
| 116 | inline at::Tensor _fw_primal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t level) { |
| 117 | return at::_ops::_fw_primal::redispatch(dispatchKeySet, self, level); |
| 118 | } |
| 119 | |
| 120 | // aten::_make_dual(Tensor(a) primal, Tensor tangent, int level) -> Tensor(a) |
| 121 | inline at::Tensor _make_dual(c10::DispatchKeySet dispatchKeySet, const at::Tensor & primal, const at::Tensor & tangent, int64_t level) { |
| 122 | return at::_ops::_make_dual::redispatch(dispatchKeySet, primal, tangent, level); |
| 123 | } |
| 124 | |
| 125 | // aten::_unpack_dual(Tensor(a) dual, int level) -> (Tensor(a) primal, Tensor tangent) |
| 126 | inline ::std::tuple<at::Tensor,at::Tensor> _unpack_dual(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dual, int64_t level) { |
| 127 | return at::_ops::_unpack_dual::redispatch(dispatchKeySet, dual, level); |
| 128 | } |
| 129 | |
| 130 | // aten::_new_zeros_with_same_feature_meta(Tensor self, Tensor other, *, int self_num_batch_dims=0) -> Tensor |
| 131 | inline at::Tensor _new_zeros_with_same_feature_meta(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, int64_t self_num_batch_dims=0) { |
| 132 | return at::_ops::_new_zeros_with_same_feature_meta::redispatch(dispatchKeySet, self, other, self_num_batch_dims); |
| 133 | } |
| 134 | |
| 135 | // aten::_has_same_storage_numel(Tensor self, Tensor other) -> bool |
| 136 | inline bool _has_same_storage_numel(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 137 | return at::_ops::_has_same_storage_numel::redispatch(dispatchKeySet, self, other); |
| 138 | } |
| 139 | |
| 140 | // aten::rename_(Tensor(a!) self, Dimname[]? names) -> Tensor(a!) |
| 141 | inline at::Tensor & rename_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<at::DimnameList> names) { |
| 142 | return at::_ops::rename_::redispatch(dispatchKeySet, self, names); |
| 143 | } |
| 144 | |
| 145 | // aten::rename(Tensor(a) self, Dimname[]? names) -> Tensor(a) |
| 146 | inline at::Tensor rename(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::DimnameList> names) { |
| 147 | return at::_ops::rename::redispatch(dispatchKeySet, self, names); |
| 148 | } |
| 149 | |
| 150 | // aten::align_to(Tensor(a) self, Dimname[] names) -> Tensor(a) |
| 151 | inline at::Tensor align_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList names) { |
| 152 | return at::_ops::align_to::redispatch(dispatchKeySet, self, names); |
| 153 | } |
| 154 | |
| 155 | // aten::align_to.ellipsis_idx(Tensor(a) self, Dimname[] order, int ellipsis_idx) -> Tensor(a) |
| 156 | inline at::Tensor align_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList order, int64_t ellipsis_idx) { |
| 157 | return at::_ops::align_to_ellipsis_idx::redispatch(dispatchKeySet, self, order, ellipsis_idx); |
| 158 | } |
| 159 | |
| 160 | // aten::align_as(Tensor self, Tensor other) -> Tensor |
| 161 | inline at::Tensor align_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 162 | return at::_ops::align_as::redispatch(dispatchKeySet, self, other); |
| 163 | } |
| 164 | |
| 165 | // aten::align_tensors(Tensor[] tensors) -> Tensor[] |
| 166 | inline ::std::vector<at::Tensor> align_tensors(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 167 | return at::_ops::align_tensors::redispatch(dispatchKeySet, tensors); |
| 168 | } |
| 169 | |
| 170 | // aten::_assert_async(Tensor self) -> () |
| 171 | inline void _assert_async(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 172 | return at::_ops::_assert_async::redispatch(dispatchKeySet, self); |
| 173 | } |
| 174 | |
| 175 | // aten::_assert_tensor_metadata(Tensor a, int[]? size=None, int[]? stride=None, ScalarType? dtype=None) -> () |
| 176 | inline void _assert_tensor_metadata(c10::DispatchKeySet dispatchKeySet, const at::Tensor & a, at::OptionalIntArrayRef size=c10::nullopt, at::OptionalIntArrayRef stride=c10::nullopt, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 177 | return at::_ops::_assert_tensor_metadata::redispatch(dispatchKeySet, a, size, stride, dtype); |
| 178 | } |
| 179 | |
| 180 | // aten::refine_names(Tensor(a) self, Dimname[] names) -> Tensor(a) |
| 181 | inline at::Tensor refine_names(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList names) { |
| 182 | return at::_ops::refine_names::redispatch(dispatchKeySet, self, names); |
| 183 | } |
| 184 | |
| 185 | // aten::_use_cudnn_ctc_loss(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank) -> bool |
| 186 | inline bool _use_cudnn_ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank) { |
| 187 | return at::_ops::_use_cudnn_ctc_loss::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank); |
| 188 | } |
| 189 | |
| 190 | // aten::_use_cudnn_ctc_loss.Tensor(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, int blank) -> bool |
| 191 | inline bool _use_cudnn_ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank) { |
| 192 | return at::_ops::_use_cudnn_ctc_loss_Tensor::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank); |
| 193 | } |
| 194 | |
| 195 | // aten::_cudnn_ctc_loss(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank, bool deterministic, bool zero_infinity) -> (Tensor, Tensor) |
| 196 | inline ::std::tuple<at::Tensor,at::Tensor> _cudnn_ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank, bool deterministic, bool zero_infinity) { |
| 197 | return at::_ops::_cudnn_ctc_loss::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, deterministic, zero_infinity); |
| 198 | } |
| 199 | |
| 200 | // aten::_cudnn_ctc_loss.Tensor(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, int blank, bool deterministic, bool zero_infinity) -> (Tensor, Tensor) |
| 201 | inline ::std::tuple<at::Tensor,at::Tensor> _cudnn_ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank, bool deterministic, bool zero_infinity) { |
| 202 | return at::_ops::_cudnn_ctc_loss_Tensor::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, deterministic, zero_infinity); |
| 203 | } |
| 204 | |
| 205 | // aten::_use_cudnn_rnn_flatten_weight() -> bool |
| 206 | inline bool _use_cudnn_rnn_flatten_weight(c10::DispatchKeySet dispatchKeySet) { |
| 207 | return at::_ops::_use_cudnn_rnn_flatten_weight::redispatch(dispatchKeySet); |
| 208 | } |
| 209 | |
| 210 | // aten::_cudnn_rnn_flatten_weight(Tensor[] weight_arr, int weight_stride0, SymInt input_size, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, bool bidirectional) -> Tensor |
| 211 | inline at::Tensor _cudnn_rnn_flatten_weight(c10::DispatchKeySet dispatchKeySet, at::TensorList weight_arr, int64_t weight_stride0, int64_t input_size, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, bool bidirectional) { |
| 212 | return at::_ops::_cudnn_rnn_flatten_weight::redispatch(dispatchKeySet, weight_arr, weight_stride0, input_size, mode, hidden_size, proj_size, num_layers, batch_first, bidirectional); |
| 213 | } |
| 214 | |
| 215 | // aten::_cudnn_rnn_flatten_weight(Tensor[] weight_arr, int weight_stride0, SymInt input_size, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, bool bidirectional) -> Tensor |
| 216 | inline at::Tensor _cudnn_rnn_flatten_weight_symint(c10::DispatchKeySet dispatchKeySet, at::TensorList weight_arr, int64_t weight_stride0, c10::SymInt input_size, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, bool bidirectional) { |
| 217 | return at::_ops::_cudnn_rnn_flatten_weight::redispatch(dispatchKeySet, weight_arr, weight_stride0, input_size, mode, hidden_size, proj_size, num_layers, batch_first, bidirectional); |
| 218 | } |
| 219 | |
| 220 | // aten::_cudnn_rnn(Tensor input, Tensor[] weight, int weight_stride0, Tensor? weight_buf, Tensor hx, Tensor? cx, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 221 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _cudnn_rnn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const c10::optional<at::Tensor> & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) { |
| 222 | return at::_ops::_cudnn_rnn::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, c10::fromIntArrayRefSlow(batch_sizes), dropout_state); |
| 223 | } |
| 224 | |
| 225 | // aten::_cudnn_rnn(Tensor input, Tensor[] weight, int weight_stride0, Tensor? weight_buf, Tensor hx, Tensor? cx, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 226 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _cudnn_rnn_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const c10::optional<at::Tensor> & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, c10::SymIntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) { |
| 227 | return at::_ops::_cudnn_rnn::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state); |
| 228 | } |
| 229 | |
| 230 | // aten::_cudnn_rnn_backward(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask) -> (Tensor, Tensor, Tensor, Tensor[]) |
| 231 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> _cudnn_rnn_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) { |
| 232 | return at::_ops::_cudnn_rnn_backward::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, c10::fromIntArrayRefSlow(batch_sizes), dropout_state, reserve, output_mask); |
| 233 | } |
| 234 | |
| 235 | // aten::_cudnn_rnn_backward(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask) -> (Tensor, Tensor, Tensor, Tensor[]) |
| 236 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> _cudnn_rnn_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, c10::SymIntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) { |
| 237 | return at::_ops::_cudnn_rnn_backward::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask); |
| 238 | } |
| 239 | |
| 240 | // aten::_cudnn_init_dropout_state(float dropout, bool train, int dropout_seed, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 241 | inline at::Tensor _cudnn_init_dropout_state(c10::DispatchKeySet dispatchKeySet, double dropout, bool train, int64_t dropout_seed, at::TensorOptions options) { |
| 242 | return at::_ops::_cudnn_init_dropout_state::redispatch(dispatchKeySet, dropout, train, dropout_seed, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 243 | } |
| 244 | |
| 245 | // aten::_cudnn_init_dropout_state(float dropout, bool train, int dropout_seed, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 246 | inline at::Tensor _cudnn_init_dropout_state(c10::DispatchKeySet dispatchKeySet, double dropout, bool train, int64_t dropout_seed, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 247 | return at::_ops::_cudnn_init_dropout_state::redispatch(dispatchKeySet, dropout, train, dropout_seed, dtype, layout, device, pin_memory); |
| 248 | } |
| 249 | |
| 250 | // aten::_debug_has_internal_overlap(Tensor self) -> int |
| 251 | inline int64_t _debug_has_internal_overlap(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 252 | return at::_ops::_debug_has_internal_overlap::redispatch(dispatchKeySet, self); |
| 253 | } |
| 254 | |
| 255 | // aten::_fused_dropout(Tensor self, float p, Generator? generator=None) -> (Tensor, Tensor) |
| 256 | inline ::std::tuple<at::Tensor,at::Tensor> _fused_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 257 | return at::_ops::_fused_dropout::redispatch(dispatchKeySet, self, p, generator); |
| 258 | } |
| 259 | |
| 260 | // aten::_masked_scale(Tensor self, Tensor mask, float scale) -> Tensor |
| 261 | inline at::Tensor _masked_scale(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, double scale) { |
| 262 | return at::_ops::_masked_scale::redispatch(dispatchKeySet, self, mask, scale); |
| 263 | } |
| 264 | |
| 265 | // aten::native_dropout(Tensor input, float p, bool? train) -> (Tensor, Tensor) |
| 266 | inline ::std::tuple<at::Tensor,at::Tensor> native_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, c10::optional<bool> train) { |
| 267 | return at::_ops::native_dropout::redispatch(dispatchKeySet, input, p, train); |
| 268 | } |
| 269 | |
| 270 | // aten::native_dropout_backward(Tensor grad_output, Tensor mask, float scale) -> Tensor |
| 271 | inline at::Tensor native_dropout_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & mask, double scale) { |
| 272 | return at::_ops::native_dropout_backward::redispatch(dispatchKeySet, grad_output, mask, scale); |
| 273 | } |
| 274 | |
| 275 | // aten::_sobol_engine_draw(Tensor quasi, int n, Tensor sobolstate, int dimension, int num_generated, ScalarType? dtype) -> (Tensor, Tensor) |
| 276 | inline ::std::tuple<at::Tensor,at::Tensor> _sobol_engine_draw(c10::DispatchKeySet dispatchKeySet, const at::Tensor & quasi, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated, c10::optional<at::ScalarType> dtype) { |
| 277 | return at::_ops::_sobol_engine_draw::redispatch(dispatchKeySet, quasi, n, sobolstate, dimension, num_generated, dtype); |
| 278 | } |
| 279 | |
| 280 | // aten::_sobol_engine_ff_(Tensor(a!) self, int n, Tensor sobolstate, int dimension, int num_generated) -> Tensor(a!) |
| 281 | inline at::Tensor & _sobol_engine_ff_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated) { |
| 282 | return at::_ops::_sobol_engine_ff_::redispatch(dispatchKeySet, self, n, sobolstate, dimension, num_generated); |
| 283 | } |
| 284 | |
| 285 | // aten::_sobol_engine_scramble_(Tensor(a!) self, Tensor ltm, int dimension) -> Tensor(a!) |
| 286 | inline at::Tensor & _sobol_engine_scramble_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & ltm, int64_t dimension) { |
| 287 | return at::_ops::_sobol_engine_scramble_::redispatch(dispatchKeySet, self, ltm, dimension); |
| 288 | } |
| 289 | |
| 290 | // aten::_sobol_engine_initialize_state_(Tensor(a!) self, int dimension) -> Tensor(a!) |
| 291 | inline at::Tensor & _sobol_engine_initialize_state_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dimension) { |
| 292 | return at::_ops::_sobol_engine_initialize_state_::redispatch(dispatchKeySet, self, dimension); |
| 293 | } |
| 294 | |
| 295 | // aten::_reshape_from_tensor(Tensor self, Tensor shape) -> Tensor |
| 296 | inline at::Tensor _reshape_from_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & shape) { |
| 297 | return at::_ops::_reshape_from_tensor::redispatch(dispatchKeySet, self, shape); |
| 298 | } |
| 299 | |
| 300 | // aten::_shape_as_tensor(Tensor self) -> Tensor |
| 301 | inline at::Tensor _shape_as_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 302 | return at::_ops::_shape_as_tensor::redispatch(dispatchKeySet, self); |
| 303 | } |
| 304 | |
| 305 | // aten::dropout(Tensor input, float p, bool train) -> Tensor |
| 306 | inline at::Tensor dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) { |
| 307 | return at::_ops::dropout::redispatch(dispatchKeySet, input, p, train); |
| 308 | } |
| 309 | |
| 310 | // aten::dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!) |
| 311 | inline at::Tensor & dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) { |
| 312 | return at::_ops::dropout_::redispatch(dispatchKeySet, self, p, train); |
| 313 | } |
| 314 | |
| 315 | // aten::feature_dropout(Tensor input, float p, bool train) -> Tensor |
| 316 | inline at::Tensor feature_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) { |
| 317 | return at::_ops::feature_dropout::redispatch(dispatchKeySet, input, p, train); |
| 318 | } |
| 319 | |
| 320 | // aten::feature_dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!) |
| 321 | inline at::Tensor & feature_dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) { |
| 322 | return at::_ops::feature_dropout_::redispatch(dispatchKeySet, self, p, train); |
| 323 | } |
| 324 | |
| 325 | // aten::alpha_dropout(Tensor input, float p, bool train) -> Tensor |
| 326 | inline at::Tensor alpha_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) { |
| 327 | return at::_ops::alpha_dropout::redispatch(dispatchKeySet, input, p, train); |
| 328 | } |
| 329 | |
| 330 | // aten::alpha_dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!) |
| 331 | inline at::Tensor & alpha_dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) { |
| 332 | return at::_ops::alpha_dropout_::redispatch(dispatchKeySet, self, p, train); |
| 333 | } |
| 334 | |
| 335 | // aten::feature_alpha_dropout(Tensor input, float p, bool train) -> Tensor |
| 336 | inline at::Tensor feature_alpha_dropout(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, bool train) { |
| 337 | return at::_ops::feature_alpha_dropout::redispatch(dispatchKeySet, input, p, train); |
| 338 | } |
| 339 | |
| 340 | // aten::feature_alpha_dropout_(Tensor(a!) self, float p, bool train) -> Tensor(a!) |
| 341 | inline at::Tensor & feature_alpha_dropout_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, bool train) { |
| 342 | return at::_ops::feature_alpha_dropout_::redispatch(dispatchKeySet, self, p, train); |
| 343 | } |
| 344 | |
| 345 | // aten::abs(Tensor self) -> Tensor |
| 346 | inline at::Tensor abs(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 347 | return at::_ops::abs::redispatch(dispatchKeySet, self); |
| 348 | } |
| 349 | |
| 350 | // aten::abs_(Tensor(a!) self) -> Tensor(a!) |
| 351 | inline at::Tensor & abs_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 352 | return at::_ops::abs_::redispatch(dispatchKeySet, self); |
| 353 | } |
| 354 | |
| 355 | // aten::abs.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 356 | inline at::Tensor & abs_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 357 | return at::_ops::abs_out::redispatch(dispatchKeySet, self, out); |
| 358 | } |
| 359 | |
| 360 | // aten::abs.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 361 | inline at::Tensor & abs_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 362 | return at::_ops::abs_out::redispatch(dispatchKeySet, self, out); |
| 363 | } |
| 364 | |
| 365 | // aten::absolute(Tensor self) -> Tensor |
| 366 | inline at::Tensor absolute(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 367 | return at::_ops::absolute::redispatch(dispatchKeySet, self); |
| 368 | } |
| 369 | |
| 370 | // aten::absolute_(Tensor(a!) self) -> Tensor(a!) |
| 371 | inline at::Tensor & absolute_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 372 | return at::_ops::absolute_::redispatch(dispatchKeySet, self); |
| 373 | } |
| 374 | |
| 375 | // aten::absolute.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 376 | inline at::Tensor & absolute_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 377 | return at::_ops::absolute_out::redispatch(dispatchKeySet, self, out); |
| 378 | } |
| 379 | |
| 380 | // aten::absolute.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 381 | inline at::Tensor & absolute_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 382 | return at::_ops::absolute_out::redispatch(dispatchKeySet, self, out); |
| 383 | } |
| 384 | |
| 385 | // aten::angle(Tensor self) -> Tensor |
| 386 | inline at::Tensor angle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 387 | return at::_ops::angle::redispatch(dispatchKeySet, self); |
| 388 | } |
| 389 | |
| 390 | // aten::angle.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 391 | inline at::Tensor & angle_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 392 | return at::_ops::angle_out::redispatch(dispatchKeySet, self, out); |
| 393 | } |
| 394 | |
| 395 | // aten::angle.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 396 | inline at::Tensor & angle_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 397 | return at::_ops::angle_out::redispatch(dispatchKeySet, self, out); |
| 398 | } |
| 399 | |
| 400 | // aten::view_as_real(Tensor(a) self) -> Tensor(a) |
| 401 | inline at::Tensor view_as_real(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 402 | return at::_ops::view_as_real::redispatch(dispatchKeySet, self); |
| 403 | } |
| 404 | |
| 405 | // aten::view_as_complex(Tensor(a) self) -> Tensor(a) |
| 406 | inline at::Tensor view_as_complex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 407 | return at::_ops::view_as_complex::redispatch(dispatchKeySet, self); |
| 408 | } |
| 409 | |
| 410 | // aten::sgn(Tensor self) -> Tensor |
| 411 | inline at::Tensor sgn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 412 | return at::_ops::sgn::redispatch(dispatchKeySet, self); |
| 413 | } |
| 414 | |
| 415 | // aten::sgn_(Tensor(a!) self) -> Tensor(a!) |
| 416 | inline at::Tensor & sgn_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 417 | return at::_ops::sgn_::redispatch(dispatchKeySet, self); |
| 418 | } |
| 419 | |
| 420 | // aten::sgn.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 421 | inline at::Tensor & sgn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 422 | return at::_ops::sgn_out::redispatch(dispatchKeySet, self, out); |
| 423 | } |
| 424 | |
| 425 | // aten::sgn.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 426 | inline at::Tensor & sgn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 427 | return at::_ops::sgn_out::redispatch(dispatchKeySet, self, out); |
| 428 | } |
| 429 | |
| 430 | // aten::chalf(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor |
| 431 | inline at::Tensor chalf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 432 | return at::_ops::chalf::redispatch(dispatchKeySet, self, memory_format); |
| 433 | } |
| 434 | |
| 435 | // aten::real(Tensor(a) self) -> Tensor(a) |
| 436 | inline at::Tensor real(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 437 | return at::_ops::real::redispatch(dispatchKeySet, self); |
| 438 | } |
| 439 | |
| 440 | // aten::imag(Tensor(a) self) -> Tensor(a) |
| 441 | inline at::Tensor imag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 442 | return at::_ops::imag::redispatch(dispatchKeySet, self); |
| 443 | } |
| 444 | |
| 445 | // aten::_conj(Tensor(a) self) -> Tensor(a) |
| 446 | inline at::Tensor _conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 447 | return at::_ops::_conj::redispatch(dispatchKeySet, self); |
| 448 | } |
| 449 | |
| 450 | // aten::conj(Tensor(a) self) -> Tensor(a) |
| 451 | inline at::Tensor __dispatch_conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 452 | return at::_ops::conj::redispatch(dispatchKeySet, self); |
| 453 | } |
| 454 | |
| 455 | // aten::_conj_physical(Tensor self) -> Tensor |
| 456 | inline at::Tensor _conj_physical(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 457 | return at::_ops::_conj_physical::redispatch(dispatchKeySet, self); |
| 458 | } |
| 459 | |
| 460 | // aten::conj_physical(Tensor self) -> Tensor |
| 461 | inline at::Tensor conj_physical(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 462 | return at::_ops::conj_physical::redispatch(dispatchKeySet, self); |
| 463 | } |
| 464 | |
| 465 | // aten::conj_physical.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 466 | inline at::Tensor & conj_physical_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 467 | return at::_ops::conj_physical_out::redispatch(dispatchKeySet, self, out); |
| 468 | } |
| 469 | |
| 470 | // aten::conj_physical.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 471 | inline at::Tensor & conj_physical_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 472 | return at::_ops::conj_physical_out::redispatch(dispatchKeySet, self, out); |
| 473 | } |
| 474 | |
| 475 | // aten::conj_physical_(Tensor(a!) self) -> Tensor(a!) |
| 476 | inline at::Tensor & conj_physical_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 477 | return at::_ops::conj_physical_::redispatch(dispatchKeySet, self); |
| 478 | } |
| 479 | |
| 480 | // aten::resolve_conj(Tensor(a) self) -> Tensor(a) |
| 481 | inline at::Tensor resolve_conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 482 | return at::_ops::resolve_conj::redispatch(dispatchKeySet, self); |
| 483 | } |
| 484 | |
| 485 | // aten::resolve_neg(Tensor(a) self) -> Tensor(a) |
| 486 | inline at::Tensor resolve_neg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 487 | return at::_ops::resolve_neg::redispatch(dispatchKeySet, self); |
| 488 | } |
| 489 | |
| 490 | // aten::_neg_view(Tensor(a) self) -> Tensor(a) |
| 491 | inline at::Tensor _neg_view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 492 | return at::_ops::_neg_view::redispatch(dispatchKeySet, self); |
| 493 | } |
| 494 | |
| 495 | // aten::acos(Tensor self) -> Tensor |
| 496 | inline at::Tensor acos(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 497 | return at::_ops::acos::redispatch(dispatchKeySet, self); |
| 498 | } |
| 499 | |
| 500 | // aten::acos_(Tensor(a!) self) -> Tensor(a!) |
| 501 | inline at::Tensor & acos_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 502 | return at::_ops::acos_::redispatch(dispatchKeySet, self); |
| 503 | } |
| 504 | |
| 505 | // aten::acos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 506 | inline at::Tensor & acos_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 507 | return at::_ops::acos_out::redispatch(dispatchKeySet, self, out); |
| 508 | } |
| 509 | |
| 510 | // aten::acos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 511 | inline at::Tensor & acos_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 512 | return at::_ops::acos_out::redispatch(dispatchKeySet, self, out); |
| 513 | } |
| 514 | |
| 515 | // aten::arccos(Tensor self) -> Tensor |
| 516 | inline at::Tensor arccos(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 517 | return at::_ops::arccos::redispatch(dispatchKeySet, self); |
| 518 | } |
| 519 | |
| 520 | // aten::arccos_(Tensor(a!) self) -> Tensor(a!) |
| 521 | inline at::Tensor & arccos_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 522 | return at::_ops::arccos_::redispatch(dispatchKeySet, self); |
| 523 | } |
| 524 | |
| 525 | // aten::arccos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 526 | inline at::Tensor & arccos_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 527 | return at::_ops::arccos_out::redispatch(dispatchKeySet, self, out); |
| 528 | } |
| 529 | |
| 530 | // aten::arccos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 531 | inline at::Tensor & arccos_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 532 | return at::_ops::arccos_out::redispatch(dispatchKeySet, self, out); |
| 533 | } |
| 534 | |
| 535 | // aten::avg_pool1d(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, bool ceil_mode=False, bool count_include_pad=True) -> Tensor |
| 536 | inline at::Tensor avg_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true) { |
| 537 | return at::_ops::avg_pool1d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad); |
| 538 | } |
| 539 | |
| 540 | // aten::adaptive_avg_pool1d(Tensor self, int[1] output_size) -> Tensor |
| 541 | inline at::Tensor adaptive_avg_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 542 | return at::_ops::adaptive_avg_pool1d::redispatch(dispatchKeySet, self, output_size); |
| 543 | } |
| 544 | |
| 545 | // aten::adaptive_max_pool1d(Tensor self, int[1] output_size) -> (Tensor, Tensor) |
| 546 | inline ::std::tuple<at::Tensor,at::Tensor> adaptive_max_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 547 | return at::_ops::adaptive_max_pool1d::redispatch(dispatchKeySet, self, output_size); |
| 548 | } |
| 549 | |
| 550 | // aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 551 | inline at::Tensor add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 552 | return at::_ops::add_Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 553 | } |
| 554 | |
| 555 | // aten::add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) |
| 556 | inline at::Tensor & add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 557 | return at::_ops::add__Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 558 | } |
| 559 | |
| 560 | // aten::add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 561 | inline at::Tensor & add_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 562 | return at::_ops::add_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 563 | } |
| 564 | |
| 565 | // aten::add.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 566 | inline at::Tensor & add_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) { |
| 567 | return at::_ops::add_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 568 | } |
| 569 | |
| 570 | // aten::_add_relu.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 571 | inline at::Tensor _add_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 572 | return at::_ops::_add_relu_Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 573 | } |
| 574 | |
| 575 | // aten::_add_relu_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) |
| 576 | inline at::Tensor & _add_relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 577 | return at::_ops::_add_relu__Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 578 | } |
| 579 | |
| 580 | // aten::_add_relu.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 581 | inline at::Tensor & _add_relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 582 | return at::_ops::_add_relu_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 583 | } |
| 584 | |
| 585 | // aten::_add_relu.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 586 | inline at::Tensor & _add_relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) { |
| 587 | return at::_ops::_add_relu_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 588 | } |
| 589 | |
| 590 | // aten::_add_relu.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 591 | inline at::Tensor _add_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 592 | return at::_ops::_add_relu_Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 593 | } |
| 594 | |
| 595 | // aten::_add_relu_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!) |
| 596 | inline at::Tensor & _add_relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 597 | return at::_ops::_add_relu__Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 598 | } |
| 599 | |
| 600 | // aten::add.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 601 | inline at::Tensor add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 602 | return at::_ops::add_Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 603 | } |
| 604 | |
| 605 | // aten::add_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!) |
| 606 | inline at::Tensor & add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 607 | return at::_ops::add__Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 608 | } |
| 609 | |
| 610 | // aten::addmv(Tensor self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 611 | inline at::Tensor addmv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 612 | return at::_ops::addmv::redispatch(dispatchKeySet, self, mat, vec, beta, alpha); |
| 613 | } |
| 614 | |
| 615 | // aten::addmv_(Tensor(a!) self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 616 | inline at::Tensor & addmv_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 617 | return at::_ops::addmv_::redispatch(dispatchKeySet, self, mat, vec, beta, alpha); |
| 618 | } |
| 619 | |
| 620 | // aten::addmv.out(Tensor self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 621 | inline at::Tensor & addmv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 622 | return at::_ops::addmv_out::redispatch(dispatchKeySet, self, mat, vec, beta, alpha, out); |
| 623 | } |
| 624 | |
| 625 | // aten::addmv.out(Tensor self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 626 | inline at::Tensor & addmv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 627 | return at::_ops::addmv_out::redispatch(dispatchKeySet, self, mat, vec, beta, alpha, out); |
| 628 | } |
| 629 | |
| 630 | // aten::addr(Tensor self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 631 | inline at::Tensor addr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 632 | return at::_ops::addr::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha); |
| 633 | } |
| 634 | |
| 635 | // aten::addr_(Tensor(a!) self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 636 | inline at::Tensor & addr_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 637 | return at::_ops::addr_::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha); |
| 638 | } |
| 639 | |
| 640 | // aten::addr.out(Tensor self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 641 | inline at::Tensor & addr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 642 | return at::_ops::addr_out::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha, out); |
| 643 | } |
| 644 | |
| 645 | // aten::addr.out(Tensor self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 646 | inline at::Tensor & addr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 647 | return at::_ops::addr_out::redispatch(dispatchKeySet, self, vec1, vec2, beta, alpha, out); |
| 648 | } |
| 649 | |
| 650 | // aten::affine_grid_generator(Tensor theta, int[] size, bool align_corners) -> Tensor |
| 651 | inline at::Tensor affine_grid_generator(c10::DispatchKeySet dispatchKeySet, const at::Tensor & theta, at::IntArrayRef size, bool align_corners) { |
| 652 | return at::_ops::affine_grid_generator::redispatch(dispatchKeySet, theta, size, align_corners); |
| 653 | } |
| 654 | |
| 655 | // aten::affine_grid_generator_backward(Tensor grad, int[] size, bool align_corners) -> Tensor |
| 656 | inline at::Tensor affine_grid_generator_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef size, bool align_corners) { |
| 657 | return at::_ops::affine_grid_generator_backward::redispatch(dispatchKeySet, grad, size, align_corners); |
| 658 | } |
| 659 | |
| 660 | // aten::_is_all_true(Tensor self) -> Tensor |
| 661 | inline at::Tensor _is_all_true(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 662 | return at::_ops::_is_all_true::redispatch(dispatchKeySet, self); |
| 663 | } |
| 664 | |
| 665 | // aten::_is_any_true(Tensor self) -> Tensor |
| 666 | inline at::Tensor _is_any_true(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 667 | return at::_ops::_is_any_true::redispatch(dispatchKeySet, self); |
| 668 | } |
| 669 | |
| 670 | // aten::_test_check_tensor(Tensor self) -> Tensor |
| 671 | inline at::Tensor _test_check_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 672 | return at::_ops::_test_check_tensor::redispatch(dispatchKeySet, self); |
| 673 | } |
| 674 | |
| 675 | // aten::all.dim(Tensor self, int dim, bool keepdim=False) -> Tensor |
| 676 | inline at::Tensor all(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 677 | return at::_ops::all_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 678 | } |
| 679 | |
| 680 | // aten::all.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 681 | inline at::Tensor & all_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 682 | return at::_ops::all_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 683 | } |
| 684 | |
| 685 | // aten::all.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 686 | inline at::Tensor & all_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & out) { |
| 687 | return at::_ops::all_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 688 | } |
| 689 | |
| 690 | // aten::all.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor |
| 691 | inline at::Tensor all(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 692 | return at::_ops::all_dimname::redispatch(dispatchKeySet, self, dim, keepdim); |
| 693 | } |
| 694 | |
| 695 | // aten::all.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 696 | inline at::Tensor & all_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 697 | return at::_ops::all_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 698 | } |
| 699 | |
| 700 | // aten::all.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 701 | inline at::Tensor & all_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) { |
| 702 | return at::_ops::all_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 703 | } |
| 704 | |
| 705 | // aten::allclose(Tensor self, Tensor other, float rtol=1e-05, float atol=1e-08, bool equal_nan=False) -> bool |
| 706 | inline bool allclose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) { |
| 707 | return at::_ops::allclose::redispatch(dispatchKeySet, self, other, rtol, atol, equal_nan); |
| 708 | } |
| 709 | |
| 710 | // aten::any.dim(Tensor self, int dim, bool keepdim=False) -> Tensor |
| 711 | inline at::Tensor any(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 712 | return at::_ops::any_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 713 | } |
| 714 | |
| 715 | // aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 716 | inline at::Tensor & any_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 717 | return at::_ops::any_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 718 | } |
| 719 | |
| 720 | // aten::any.out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 721 | inline at::Tensor & any_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & out) { |
| 722 | return at::_ops::any_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 723 | } |
| 724 | |
| 725 | // aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor |
| 726 | inline at::Tensor any(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 727 | return at::_ops::any_dimname::redispatch(dispatchKeySet, self, dim, keepdim); |
| 728 | } |
| 729 | |
| 730 | // aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 731 | inline at::Tensor & any_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 732 | return at::_ops::any_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 733 | } |
| 734 | |
| 735 | // aten::any.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 736 | inline at::Tensor & any_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) { |
| 737 | return at::_ops::any_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 738 | } |
| 739 | |
| 740 | // aten::arange(Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 741 | inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & end, at::TensorOptions options={}) { |
| 742 | return at::_ops::arange::redispatch(dispatchKeySet, end, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 743 | } |
| 744 | |
| 745 | // aten::arange(Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 746 | inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & end, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 747 | return at::_ops::arange::redispatch(dispatchKeySet, end, dtype, layout, device, pin_memory); |
| 748 | } |
| 749 | |
| 750 | // aten::arange.start(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 751 | inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, at::TensorOptions options={}) { |
| 752 | return at::_ops::arange_start::redispatch(dispatchKeySet, start, end, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 753 | } |
| 754 | |
| 755 | // aten::arange.start(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 756 | inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 757 | return at::_ops::arange_start::redispatch(dispatchKeySet, start, end, dtype, layout, device, pin_memory); |
| 758 | } |
| 759 | |
| 760 | // aten::arange.start_step(Scalar start, Scalar end, Scalar step=1, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 761 | inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, at::TensorOptions options={}) { |
| 762 | return at::_ops::arange_start_step::redispatch(dispatchKeySet, start, end, step, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 763 | } |
| 764 | |
| 765 | // aten::arange.start_step(Scalar start, Scalar end, Scalar step=1, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 766 | inline at::Tensor arange(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 767 | return at::_ops::arange_start_step::redispatch(dispatchKeySet, start, end, step, dtype, layout, device, pin_memory); |
| 768 | } |
| 769 | |
| 770 | // aten::arange.out(Scalar end, *, Tensor(a!) out) -> Tensor(a!) |
| 771 | inline at::Tensor & arange_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & end) { |
| 772 | return at::_ops::arange_out::redispatch(dispatchKeySet, end, out); |
| 773 | } |
| 774 | |
| 775 | // aten::arange.out(Scalar end, *, Tensor(a!) out) -> Tensor(a!) |
| 776 | inline at::Tensor & arange_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & end, at::Tensor & out) { |
| 777 | return at::_ops::arange_out::redispatch(dispatchKeySet, end, out); |
| 778 | } |
| 779 | |
| 780 | // aten::arange.start_out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 781 | inline at::Tensor & arange_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step) { |
| 782 | return at::_ops::arange_start_out::redispatch(dispatchKeySet, start, end, step, out); |
| 783 | } |
| 784 | |
| 785 | // aten::arange.start_out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 786 | inline at::Tensor & arange_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, at::Tensor & out) { |
| 787 | return at::_ops::arange_start_out::redispatch(dispatchKeySet, start, end, step, out); |
| 788 | } |
| 789 | |
| 790 | // aten::_dim_arange(Tensor like, int dim) -> Tensor |
| 791 | inline at::Tensor _dim_arange(c10::DispatchKeySet dispatchKeySet, const at::Tensor & like, int64_t dim) { |
| 792 | return at::_ops::_dim_arange::redispatch(dispatchKeySet, like, dim); |
| 793 | } |
| 794 | |
| 795 | // aten::argmax(Tensor self, int? dim=None, bool keepdim=False) -> Tensor |
| 796 | inline at::Tensor argmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) { |
| 797 | return at::_ops::argmax::redispatch(dispatchKeySet, self, dim, keepdim); |
| 798 | } |
| 799 | |
| 800 | // aten::argmax.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 801 | inline at::Tensor & argmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) { |
| 802 | return at::_ops::argmax_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 803 | } |
| 804 | |
| 805 | // aten::argmax.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 806 | inline at::Tensor & argmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) { |
| 807 | return at::_ops::argmax_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 808 | } |
| 809 | |
| 810 | // aten::argmin(Tensor self, int? dim=None, bool keepdim=False) -> Tensor |
| 811 | inline at::Tensor argmin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) { |
| 812 | return at::_ops::argmin::redispatch(dispatchKeySet, self, dim, keepdim); |
| 813 | } |
| 814 | |
| 815 | // aten::argmin.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 816 | inline at::Tensor & argmin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) { |
| 817 | return at::_ops::argmin_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 818 | } |
| 819 | |
| 820 | // aten::argmin.out(Tensor self, int? dim=None, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 821 | inline at::Tensor & argmin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim, bool keepdim, at::Tensor & out) { |
| 822 | return at::_ops::argmin_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 823 | } |
| 824 | |
| 825 | // aten::acosh(Tensor self) -> Tensor |
| 826 | inline at::Tensor acosh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 827 | return at::_ops::acosh::redispatch(dispatchKeySet, self); |
| 828 | } |
| 829 | |
| 830 | // aten::acosh_(Tensor(a!) self) -> Tensor(a!) |
| 831 | inline at::Tensor & acosh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 832 | return at::_ops::acosh_::redispatch(dispatchKeySet, self); |
| 833 | } |
| 834 | |
| 835 | // aten::acosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 836 | inline at::Tensor & acosh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 837 | return at::_ops::acosh_out::redispatch(dispatchKeySet, self, out); |
| 838 | } |
| 839 | |
| 840 | // aten::acosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 841 | inline at::Tensor & acosh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 842 | return at::_ops::acosh_out::redispatch(dispatchKeySet, self, out); |
| 843 | } |
| 844 | |
| 845 | // aten::arccosh(Tensor self) -> Tensor |
| 846 | inline at::Tensor arccosh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 847 | return at::_ops::arccosh::redispatch(dispatchKeySet, self); |
| 848 | } |
| 849 | |
| 850 | // aten::arccosh_(Tensor(a!) self) -> Tensor(a!) |
| 851 | inline at::Tensor & arccosh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 852 | return at::_ops::arccosh_::redispatch(dispatchKeySet, self); |
| 853 | } |
| 854 | |
| 855 | // aten::arccosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 856 | inline at::Tensor & arccosh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 857 | return at::_ops::arccosh_out::redispatch(dispatchKeySet, self, out); |
| 858 | } |
| 859 | |
| 860 | // aten::arccosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 861 | inline at::Tensor & arccosh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 862 | return at::_ops::arccosh_out::redispatch(dispatchKeySet, self, out); |
| 863 | } |
| 864 | |
| 865 | // aten::asinh(Tensor self) -> Tensor |
| 866 | inline at::Tensor asinh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 867 | return at::_ops::asinh::redispatch(dispatchKeySet, self); |
| 868 | } |
| 869 | |
| 870 | // aten::asinh_(Tensor(a!) self) -> Tensor(a!) |
| 871 | inline at::Tensor & asinh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 872 | return at::_ops::asinh_::redispatch(dispatchKeySet, self); |
| 873 | } |
| 874 | |
| 875 | // aten::asinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 876 | inline at::Tensor & asinh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 877 | return at::_ops::asinh_out::redispatch(dispatchKeySet, self, out); |
| 878 | } |
| 879 | |
| 880 | // aten::asinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 881 | inline at::Tensor & asinh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 882 | return at::_ops::asinh_out::redispatch(dispatchKeySet, self, out); |
| 883 | } |
| 884 | |
| 885 | // aten::arcsinh(Tensor self) -> Tensor |
| 886 | inline at::Tensor arcsinh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 887 | return at::_ops::arcsinh::redispatch(dispatchKeySet, self); |
| 888 | } |
| 889 | |
| 890 | // aten::arcsinh_(Tensor(a!) self) -> Tensor(a!) |
| 891 | inline at::Tensor & arcsinh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 892 | return at::_ops::arcsinh_::redispatch(dispatchKeySet, self); |
| 893 | } |
| 894 | |
| 895 | // aten::arcsinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 896 | inline at::Tensor & arcsinh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 897 | return at::_ops::arcsinh_out::redispatch(dispatchKeySet, self, out); |
| 898 | } |
| 899 | |
| 900 | // aten::arcsinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 901 | inline at::Tensor & arcsinh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 902 | return at::_ops::arcsinh_out::redispatch(dispatchKeySet, self, out); |
| 903 | } |
| 904 | |
| 905 | // aten::atanh(Tensor self) -> Tensor |
| 906 | inline at::Tensor atanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 907 | return at::_ops::atanh::redispatch(dispatchKeySet, self); |
| 908 | } |
| 909 | |
| 910 | // aten::atanh_(Tensor(a!) self) -> Tensor(a!) |
| 911 | inline at::Tensor & atanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 912 | return at::_ops::atanh_::redispatch(dispatchKeySet, self); |
| 913 | } |
| 914 | |
| 915 | // aten::atanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 916 | inline at::Tensor & atanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 917 | return at::_ops::atanh_out::redispatch(dispatchKeySet, self, out); |
| 918 | } |
| 919 | |
| 920 | // aten::atanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 921 | inline at::Tensor & atanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 922 | return at::_ops::atanh_out::redispatch(dispatchKeySet, self, out); |
| 923 | } |
| 924 | |
| 925 | // aten::arctanh(Tensor self) -> Tensor |
| 926 | inline at::Tensor arctanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 927 | return at::_ops::arctanh::redispatch(dispatchKeySet, self); |
| 928 | } |
| 929 | |
| 930 | // aten::arctanh_(Tensor(a!) self) -> Tensor(a!) |
| 931 | inline at::Tensor & arctanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 932 | return at::_ops::arctanh_::redispatch(dispatchKeySet, self); |
| 933 | } |
| 934 | |
| 935 | // aten::arctanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 936 | inline at::Tensor & arctanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 937 | return at::_ops::arctanh_out::redispatch(dispatchKeySet, self, out); |
| 938 | } |
| 939 | |
| 940 | // aten::arctanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 941 | inline at::Tensor & arctanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 942 | return at::_ops::arctanh_out::redispatch(dispatchKeySet, self, out); |
| 943 | } |
| 944 | |
| 945 | // aten::as_strided(Tensor(a) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a) |
| 946 | inline at::Tensor as_strided(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) { |
| 947 | return at::_ops::as_strided::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt); |
| 948 | } |
| 949 | |
| 950 | // aten::as_strided(Tensor(a) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a) |
| 951 | inline at::Tensor as_strided_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) { |
| 952 | return at::_ops::as_strided::redispatch(dispatchKeySet, self, size, stride, storage_offset); |
| 953 | } |
| 954 | |
| 955 | // aten::as_strided_(Tensor(a!) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a!) |
| 956 | inline const at::Tensor & as_strided_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) { |
| 957 | return at::_ops::as_strided_::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt); |
| 958 | } |
| 959 | |
| 960 | // aten::as_strided_(Tensor(a!) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a!) |
| 961 | inline const at::Tensor & as_strided__symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) { |
| 962 | return at::_ops::as_strided_::redispatch(dispatchKeySet, self, size, stride, storage_offset); |
| 963 | } |
| 964 | |
| 965 | // aten::asin(Tensor self) -> Tensor |
| 966 | inline at::Tensor asin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 967 | return at::_ops::asin::redispatch(dispatchKeySet, self); |
| 968 | } |
| 969 | |
| 970 | // aten::asin_(Tensor(a!) self) -> Tensor(a!) |
| 971 | inline at::Tensor & asin_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 972 | return at::_ops::asin_::redispatch(dispatchKeySet, self); |
| 973 | } |
| 974 | |
| 975 | // aten::asin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 976 | inline at::Tensor & asin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 977 | return at::_ops::asin_out::redispatch(dispatchKeySet, self, out); |
| 978 | } |
| 979 | |
| 980 | // aten::asin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 981 | inline at::Tensor & asin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 982 | return at::_ops::asin_out::redispatch(dispatchKeySet, self, out); |
| 983 | } |
| 984 | |
| 985 | // aten::arcsin(Tensor self) -> Tensor |
| 986 | inline at::Tensor arcsin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 987 | return at::_ops::arcsin::redispatch(dispatchKeySet, self); |
| 988 | } |
| 989 | |
| 990 | // aten::arcsin_(Tensor(a!) self) -> Tensor(a!) |
| 991 | inline at::Tensor & arcsin_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 992 | return at::_ops::arcsin_::redispatch(dispatchKeySet, self); |
| 993 | } |
| 994 | |
| 995 | // aten::arcsin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 996 | inline at::Tensor & arcsin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 997 | return at::_ops::arcsin_out::redispatch(dispatchKeySet, self, out); |
| 998 | } |
| 999 | |
| 1000 | // aten::arcsin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1001 | inline at::Tensor & arcsin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1002 | return at::_ops::arcsin_out::redispatch(dispatchKeySet, self, out); |
| 1003 | } |
| 1004 | |
| 1005 | // aten::atan(Tensor self) -> Tensor |
| 1006 | inline at::Tensor atan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1007 | return at::_ops::atan::redispatch(dispatchKeySet, self); |
| 1008 | } |
| 1009 | |
| 1010 | // aten::atan_(Tensor(a!) self) -> Tensor(a!) |
| 1011 | inline at::Tensor & atan_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 1012 | return at::_ops::atan_::redispatch(dispatchKeySet, self); |
| 1013 | } |
| 1014 | |
| 1015 | // aten::atan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1016 | inline at::Tensor & atan_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 1017 | return at::_ops::atan_out::redispatch(dispatchKeySet, self, out); |
| 1018 | } |
| 1019 | |
| 1020 | // aten::atan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1021 | inline at::Tensor & atan_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1022 | return at::_ops::atan_out::redispatch(dispatchKeySet, self, out); |
| 1023 | } |
| 1024 | |
| 1025 | // aten::arctan(Tensor self) -> Tensor |
| 1026 | inline at::Tensor arctan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1027 | return at::_ops::arctan::redispatch(dispatchKeySet, self); |
| 1028 | } |
| 1029 | |
| 1030 | // aten::arctan_(Tensor(a!) self) -> Tensor(a!) |
| 1031 | inline at::Tensor & arctan_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 1032 | return at::_ops::arctan_::redispatch(dispatchKeySet, self); |
| 1033 | } |
| 1034 | |
| 1035 | // aten::arctan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1036 | inline at::Tensor & arctan_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 1037 | return at::_ops::arctan_out::redispatch(dispatchKeySet, self, out); |
| 1038 | } |
| 1039 | |
| 1040 | // aten::arctan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1041 | inline at::Tensor & arctan_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1042 | return at::_ops::arctan_out::redispatch(dispatchKeySet, self, out); |
| 1043 | } |
| 1044 | |
| 1045 | // aten::atleast_1d(Tensor self) -> Tensor |
| 1046 | inline at::Tensor atleast_1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1047 | return at::_ops::atleast_1d::redispatch(dispatchKeySet, self); |
| 1048 | } |
| 1049 | |
| 1050 | // aten::atleast_1d.Sequence(Tensor[] tensors) -> Tensor[] |
| 1051 | inline ::std::vector<at::Tensor> atleast_1d(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 1052 | return at::_ops::atleast_1d_Sequence::redispatch(dispatchKeySet, tensors); |
| 1053 | } |
| 1054 | |
| 1055 | // aten::atleast_2d(Tensor self) -> Tensor |
| 1056 | inline at::Tensor atleast_2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1057 | return at::_ops::atleast_2d::redispatch(dispatchKeySet, self); |
| 1058 | } |
| 1059 | |
| 1060 | // aten::atleast_2d.Sequence(Tensor[] tensors) -> Tensor[] |
| 1061 | inline ::std::vector<at::Tensor> atleast_2d(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 1062 | return at::_ops::atleast_2d_Sequence::redispatch(dispatchKeySet, tensors); |
| 1063 | } |
| 1064 | |
| 1065 | // aten::atleast_3d(Tensor self) -> Tensor |
| 1066 | inline at::Tensor atleast_3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1067 | return at::_ops::atleast_3d::redispatch(dispatchKeySet, self); |
| 1068 | } |
| 1069 | |
| 1070 | // aten::atleast_3d.Sequence(Tensor[] tensors) -> Tensor[] |
| 1071 | inline ::std::vector<at::Tensor> atleast_3d(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 1072 | return at::_ops::atleast_3d_Sequence::redispatch(dispatchKeySet, tensors); |
| 1073 | } |
| 1074 | |
| 1075 | // aten::baddbmm(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 1076 | inline at::Tensor baddbmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 1077 | return at::_ops::baddbmm::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha); |
| 1078 | } |
| 1079 | |
| 1080 | // aten::baddbmm_(Tensor(a!) self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 1081 | inline at::Tensor & baddbmm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 1082 | return at::_ops::baddbmm_::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha); |
| 1083 | } |
| 1084 | |
| 1085 | // aten::baddbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 1086 | inline at::Tensor & baddbmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 1087 | return at::_ops::baddbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out); |
| 1088 | } |
| 1089 | |
| 1090 | // aten::baddbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 1091 | inline at::Tensor & baddbmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 1092 | return at::_ops::baddbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out); |
| 1093 | } |
| 1094 | |
| 1095 | // aten::bartlett_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1096 | inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) { |
| 1097 | return at::_ops::bartlett_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 1098 | } |
| 1099 | |
| 1100 | // aten::bartlett_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1101 | inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 1102 | return at::_ops::bartlett_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory); |
| 1103 | } |
| 1104 | |
| 1105 | // aten::bartlett_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1106 | inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) { |
| 1107 | return at::_ops::bartlett_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 1108 | } |
| 1109 | |
| 1110 | // aten::bartlett_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1111 | inline at::Tensor bartlett_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 1112 | return at::_ops::bartlett_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory); |
| 1113 | } |
| 1114 | |
| 1115 | // aten::batch_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, bool cudnn_enabled) -> Tensor |
| 1116 | inline at::Tensor batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps, bool cudnn_enabled) { |
| 1117 | return at::_ops::batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled); |
| 1118 | } |
| 1119 | |
| 1120 | // aten::quantized_batch_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor var, float eps, float output_scale, int output_zero_point) -> Tensor |
| 1121 | inline at::Tensor quantized_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & var, double eps, double output_scale, int64_t output_zero_point) { |
| 1122 | return at::_ops::quantized_batch_norm::redispatch(dispatchKeySet, input, weight, bias, mean, var, eps, output_scale, output_zero_point); |
| 1123 | } |
| 1124 | |
| 1125 | // aten::_batch_norm_impl_index(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, bool cudnn_enabled) -> (Tensor, Tensor, Tensor, Tensor, int) |
| 1126 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> _batch_norm_impl_index(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps, bool cudnn_enabled) { |
| 1127 | return at::_ops::_batch_norm_impl_index::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled); |
| 1128 | } |
| 1129 | |
| 1130 | // aten::_batch_norm_impl_index_backward(int impl_index, Tensor input, Tensor grad_output, Tensor? weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var_transform, bool train, float eps, bool[3] output_mask, Tensor reservedSpace) -> (Tensor, Tensor, Tensor) |
| 1131 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _batch_norm_impl_index_backward(c10::DispatchKeySet dispatchKeySet, int64_t impl_index, const at::Tensor & input, const at::Tensor & grad_output, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var_transform, bool train, double eps, ::std::array<bool,3> output_mask, const at::Tensor & reservedSpace) { |
| 1132 | return at::_ops::_batch_norm_impl_index_backward::redispatch(dispatchKeySet, impl_index, input, grad_output, weight, running_mean, running_var, save_mean, save_var_transform, train, eps, output_mask, reservedSpace); |
| 1133 | } |
| 1134 | |
| 1135 | // aten::bernoulli(Tensor self, *, Generator? generator=None) -> Tensor |
| 1136 | inline at::Tensor bernoulli(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 1137 | return at::_ops::bernoulli::redispatch(dispatchKeySet, self, generator); |
| 1138 | } |
| 1139 | |
| 1140 | // aten::bernoulli.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 1141 | inline at::Tensor & bernoulli_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 1142 | return at::_ops::bernoulli_out::redispatch(dispatchKeySet, self, generator, out); |
| 1143 | } |
| 1144 | |
| 1145 | // aten::bernoulli.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 1146 | inline at::Tensor & bernoulli_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 1147 | return at::_ops::bernoulli_out::redispatch(dispatchKeySet, self, generator, out); |
| 1148 | } |
| 1149 | |
| 1150 | // aten::bernoulli_.Tensor(Tensor(a!) self, Tensor p, *, Generator? generator=None) -> Tensor(a!) |
| 1151 | inline at::Tensor & bernoulli_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 1152 | return at::_ops::bernoulli__Tensor::redispatch(dispatchKeySet, self, p, generator); |
| 1153 | } |
| 1154 | |
| 1155 | // aten::bernoulli_.float(Tensor(a!) self, float p=0.5, *, Generator? generator=None) -> Tensor(a!) |
| 1156 | inline at::Tensor & bernoulli_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p=0.5, c10::optional<at::Generator> generator=c10::nullopt) { |
| 1157 | return at::_ops::bernoulli__float::redispatch(dispatchKeySet, self, p, generator); |
| 1158 | } |
| 1159 | |
| 1160 | // aten::bernoulli.p(Tensor self, float p, *, Generator? generator=None) -> Tensor |
| 1161 | inline at::Tensor bernoulli(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 1162 | return at::_ops::bernoulli_p::redispatch(dispatchKeySet, self, p, generator); |
| 1163 | } |
| 1164 | |
| 1165 | // aten::bilinear(Tensor input1, Tensor input2, Tensor weight, Tensor? bias=None) -> Tensor |
| 1166 | inline at::Tensor bilinear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) { |
| 1167 | return at::_ops::bilinear::redispatch(dispatchKeySet, input1, input2, weight, bias); |
| 1168 | } |
| 1169 | |
| 1170 | // aten::binary_cross_entropy(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean) -> Tensor |
| 1171 | inline at::Tensor binary_cross_entropy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 1172 | return at::_ops::binary_cross_entropy::redispatch(dispatchKeySet, self, target, weight, reduction); |
| 1173 | } |
| 1174 | |
| 1175 | // aten::binary_cross_entropy.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 1176 | inline at::Tensor & binary_cross_entropy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 1177 | return at::_ops::binary_cross_entropy_out::redispatch(dispatchKeySet, self, target, weight, reduction, out); |
| 1178 | } |
| 1179 | |
| 1180 | // aten::binary_cross_entropy.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 1181 | inline at::Tensor & binary_cross_entropy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & out) { |
| 1182 | return at::_ops::binary_cross_entropy_out::redispatch(dispatchKeySet, self, target, weight, reduction, out); |
| 1183 | } |
| 1184 | |
| 1185 | // aten::binary_cross_entropy_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean) -> Tensor |
| 1186 | inline at::Tensor binary_cross_entropy_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 1187 | return at::_ops::binary_cross_entropy_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction); |
| 1188 | } |
| 1189 | |
| 1190 | // aten::binary_cross_entropy_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 1191 | inline at::Tensor & binary_cross_entropy_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 1192 | return at::_ops::binary_cross_entropy_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, grad_input); |
| 1193 | } |
| 1194 | |
| 1195 | // aten::binary_cross_entropy_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 1196 | inline at::Tensor & binary_cross_entropy_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & grad_input) { |
| 1197 | return at::_ops::binary_cross_entropy_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, grad_input); |
| 1198 | } |
| 1199 | |
| 1200 | // aten::binary_cross_entropy_with_logits(Tensor self, Tensor target, Tensor? weight=None, Tensor? pos_weight=None, int reduction=Mean) -> Tensor |
| 1201 | inline at::Tensor binary_cross_entropy_with_logits(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & pos_weight={}, int64_t reduction=at::Reduction::Mean) { |
| 1202 | return at::_ops::binary_cross_entropy_with_logits::redispatch(dispatchKeySet, self, target, weight, pos_weight, reduction); |
| 1203 | } |
| 1204 | |
| 1205 | // aten::bincount(Tensor self, Tensor? weights=None, int minlength=0) -> Tensor |
| 1206 | inline at::Tensor bincount(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & weights={}, int64_t minlength=0) { |
| 1207 | return at::_ops::bincount::redispatch(dispatchKeySet, self, weights, minlength); |
| 1208 | } |
| 1209 | |
| 1210 | // aten::bitwise_not(Tensor self) -> Tensor |
| 1211 | inline at::Tensor bitwise_not(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1212 | return at::_ops::bitwise_not::redispatch(dispatchKeySet, self); |
| 1213 | } |
| 1214 | |
| 1215 | // aten::bitwise_not_(Tensor(a!) self) -> Tensor(a!) |
| 1216 | inline at::Tensor & bitwise_not_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 1217 | return at::_ops::bitwise_not_::redispatch(dispatchKeySet, self); |
| 1218 | } |
| 1219 | |
| 1220 | // aten::bitwise_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1221 | inline at::Tensor & bitwise_not_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 1222 | return at::_ops::bitwise_not_out::redispatch(dispatchKeySet, self, out); |
| 1223 | } |
| 1224 | |
| 1225 | // aten::bitwise_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1226 | inline at::Tensor & bitwise_not_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1227 | return at::_ops::bitwise_not_out::redispatch(dispatchKeySet, self, out); |
| 1228 | } |
| 1229 | |
| 1230 | // aten::copysign.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1231 | inline at::Tensor & copysign_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 1232 | return at::_ops::copysign_out::redispatch(dispatchKeySet, self, other, out); |
| 1233 | } |
| 1234 | |
| 1235 | // aten::copysign.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1236 | inline at::Tensor & copysign_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 1237 | return at::_ops::copysign_out::redispatch(dispatchKeySet, self, other, out); |
| 1238 | } |
| 1239 | |
| 1240 | // aten::copysign.Tensor(Tensor self, Tensor other) -> Tensor |
| 1241 | inline at::Tensor copysign(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 1242 | return at::_ops::copysign_Tensor::redispatch(dispatchKeySet, self, other); |
| 1243 | } |
| 1244 | |
| 1245 | // aten::copysign_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1246 | inline at::Tensor & copysign_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 1247 | return at::_ops::copysign__Tensor::redispatch(dispatchKeySet, self, other); |
| 1248 | } |
| 1249 | |
| 1250 | // aten::copysign.Scalar(Tensor self, Scalar other) -> Tensor |
| 1251 | inline at::Tensor copysign(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 1252 | return at::_ops::copysign_Scalar::redispatch(dispatchKeySet, self, other); |
| 1253 | } |
| 1254 | |
| 1255 | // aten::copysign_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 1256 | inline at::Tensor & copysign_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 1257 | return at::_ops::copysign__Scalar::redispatch(dispatchKeySet, self, other); |
| 1258 | } |
| 1259 | |
| 1260 | // aten::copysign.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 1261 | inline at::Tensor & copysign_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 1262 | return at::_ops::copysign_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 1263 | } |
| 1264 | |
| 1265 | // aten::copysign.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 1266 | inline at::Tensor & copysign_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 1267 | return at::_ops::copysign_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 1268 | } |
| 1269 | |
| 1270 | // aten::logical_not(Tensor self) -> Tensor |
| 1271 | inline at::Tensor logical_not(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1272 | return at::_ops::logical_not::redispatch(dispatchKeySet, self); |
| 1273 | } |
| 1274 | |
| 1275 | // aten::logical_not_(Tensor(a!) self) -> Tensor(a!) |
| 1276 | inline at::Tensor & logical_not_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 1277 | return at::_ops::logical_not_::redispatch(dispatchKeySet, self); |
| 1278 | } |
| 1279 | |
| 1280 | // aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1281 | inline at::Tensor & logical_not_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 1282 | return at::_ops::logical_not_out::redispatch(dispatchKeySet, self, out); |
| 1283 | } |
| 1284 | |
| 1285 | // aten::logical_not.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1286 | inline at::Tensor & logical_not_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1287 | return at::_ops::logical_not_out::redispatch(dispatchKeySet, self, out); |
| 1288 | } |
| 1289 | |
| 1290 | // aten::logical_xor(Tensor self, Tensor other) -> Tensor |
| 1291 | inline at::Tensor logical_xor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 1292 | return at::_ops::logical_xor::redispatch(dispatchKeySet, self, other); |
| 1293 | } |
| 1294 | |
| 1295 | // aten::logical_xor_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1296 | inline at::Tensor & logical_xor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 1297 | return at::_ops::logical_xor_::redispatch(dispatchKeySet, self, other); |
| 1298 | } |
| 1299 | |
| 1300 | // aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1301 | inline at::Tensor & logical_xor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 1302 | return at::_ops::logical_xor_out::redispatch(dispatchKeySet, self, other, out); |
| 1303 | } |
| 1304 | |
| 1305 | // aten::logical_xor.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1306 | inline at::Tensor & logical_xor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 1307 | return at::_ops::logical_xor_out::redispatch(dispatchKeySet, self, other, out); |
| 1308 | } |
| 1309 | |
| 1310 | // aten::logical_and(Tensor self, Tensor other) -> Tensor |
| 1311 | inline at::Tensor logical_and(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 1312 | return at::_ops::logical_and::redispatch(dispatchKeySet, self, other); |
| 1313 | } |
| 1314 | |
| 1315 | // aten::logical_and_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1316 | inline at::Tensor & logical_and_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 1317 | return at::_ops::logical_and_::redispatch(dispatchKeySet, self, other); |
| 1318 | } |
| 1319 | |
| 1320 | // aten::logical_and.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1321 | inline at::Tensor & logical_and_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 1322 | return at::_ops::logical_and_out::redispatch(dispatchKeySet, self, other, out); |
| 1323 | } |
| 1324 | |
| 1325 | // aten::logical_and.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1326 | inline at::Tensor & logical_and_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 1327 | return at::_ops::logical_and_out::redispatch(dispatchKeySet, self, other, out); |
| 1328 | } |
| 1329 | |
| 1330 | // aten::logical_or(Tensor self, Tensor other) -> Tensor |
| 1331 | inline at::Tensor logical_or(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 1332 | return at::_ops::logical_or::redispatch(dispatchKeySet, self, other); |
| 1333 | } |
| 1334 | |
| 1335 | // aten::logical_or_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1336 | inline at::Tensor & logical_or_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 1337 | return at::_ops::logical_or_::redispatch(dispatchKeySet, self, other); |
| 1338 | } |
| 1339 | |
| 1340 | // aten::logical_or.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1341 | inline at::Tensor & logical_or_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 1342 | return at::_ops::logical_or_out::redispatch(dispatchKeySet, self, other, out); |
| 1343 | } |
| 1344 | |
| 1345 | // aten::logical_or.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 1346 | inline at::Tensor & logical_or_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 1347 | return at::_ops::logical_or_out::redispatch(dispatchKeySet, self, other, out); |
| 1348 | } |
| 1349 | |
| 1350 | // aten::blackman_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1351 | inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) { |
| 1352 | return at::_ops::blackman_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 1353 | } |
| 1354 | |
| 1355 | // aten::blackman_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1356 | inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 1357 | return at::_ops::blackman_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory); |
| 1358 | } |
| 1359 | |
| 1360 | // aten::blackman_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1361 | inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) { |
| 1362 | return at::_ops::blackman_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 1363 | } |
| 1364 | |
| 1365 | // aten::blackman_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 1366 | inline at::Tensor blackman_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 1367 | return at::_ops::blackman_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory); |
| 1368 | } |
| 1369 | |
| 1370 | // aten::bmm(Tensor self, Tensor mat2) -> Tensor |
| 1371 | inline at::Tensor bmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2) { |
| 1372 | return at::_ops::bmm::redispatch(dispatchKeySet, self, mat2); |
| 1373 | } |
| 1374 | |
| 1375 | // aten::bmm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!) |
| 1376 | inline at::Tensor & bmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat2) { |
| 1377 | return at::_ops::bmm_out::redispatch(dispatchKeySet, self, mat2, out); |
| 1378 | } |
| 1379 | |
| 1380 | // aten::bmm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!) |
| 1381 | inline at::Tensor & bmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2, at::Tensor & out) { |
| 1382 | return at::_ops::bmm_out::redispatch(dispatchKeySet, self, mat2, out); |
| 1383 | } |
| 1384 | |
| 1385 | // aten::broadcast_tensors(Tensor[] tensors) -> Tensor[] |
| 1386 | inline ::std::vector<at::Tensor> broadcast_tensors(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 1387 | return at::_ops::broadcast_tensors::redispatch(dispatchKeySet, tensors); |
| 1388 | } |
| 1389 | |
| 1390 | // aten::broadcast_to(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 1391 | inline at::Tensor broadcast_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 1392 | return at::_ops::broadcast_to::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size)); |
| 1393 | } |
| 1394 | |
| 1395 | // aten::broadcast_to(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 1396 | inline at::Tensor broadcast_to_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 1397 | return at::_ops::broadcast_to::redispatch(dispatchKeySet, self, size); |
| 1398 | } |
| 1399 | |
| 1400 | // aten::_sparse_broadcast_to(Tensor(a) self, int[] size) -> Tensor(a) |
| 1401 | inline at::Tensor _sparse_broadcast_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 1402 | return at::_ops::_sparse_broadcast_to::redispatch(dispatchKeySet, self, size); |
| 1403 | } |
| 1404 | |
| 1405 | // aten::cat(Tensor[] tensors, int dim=0) -> Tensor |
| 1406 | inline at::Tensor cat(c10::DispatchKeySet dispatchKeySet, const at::ITensorListRef & tensors, int64_t dim=0) { |
| 1407 | return at::_ops::cat::redispatch(dispatchKeySet, tensors, dim); |
| 1408 | } |
| 1409 | |
| 1410 | // aten::cat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 1411 | inline at::Tensor & cat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::ITensorListRef & tensors, int64_t dim=0) { |
| 1412 | return at::_ops::cat_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1413 | } |
| 1414 | |
| 1415 | // aten::cat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 1416 | inline at::Tensor & cat_outf(c10::DispatchKeySet dispatchKeySet, const at::ITensorListRef & tensors, int64_t dim, at::Tensor & out) { |
| 1417 | return at::_ops::cat_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1418 | } |
| 1419 | |
| 1420 | // aten::cat.names(Tensor[] tensors, Dimname dim) -> Tensor |
| 1421 | inline at::Tensor cat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim) { |
| 1422 | return at::_ops::cat_names::redispatch(dispatchKeySet, tensors, dim); |
| 1423 | } |
| 1424 | |
| 1425 | // aten::cat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 1426 | inline at::Tensor & cat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, at::Dimname dim) { |
| 1427 | return at::_ops::cat_names_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1428 | } |
| 1429 | |
| 1430 | // aten::cat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 1431 | inline at::Tensor & cat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 1432 | return at::_ops::cat_names_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1433 | } |
| 1434 | |
| 1435 | // aten::concat(Tensor[] tensors, int dim=0) -> Tensor |
| 1436 | inline at::Tensor concat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) { |
| 1437 | return at::_ops::concat::redispatch(dispatchKeySet, tensors, dim); |
| 1438 | } |
| 1439 | |
| 1440 | // aten::concat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 1441 | inline at::Tensor & concat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) { |
| 1442 | return at::_ops::concat_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1443 | } |
| 1444 | |
| 1445 | // aten::concat.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 1446 | inline at::Tensor & concat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 1447 | return at::_ops::concat_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1448 | } |
| 1449 | |
| 1450 | // aten::concat.names(Tensor[] tensors, Dimname dim) -> Tensor |
| 1451 | inline at::Tensor concat(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim) { |
| 1452 | return at::_ops::concat_names::redispatch(dispatchKeySet, tensors, dim); |
| 1453 | } |
| 1454 | |
| 1455 | // aten::concat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 1456 | inline at::Tensor & concat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, at::Dimname dim) { |
| 1457 | return at::_ops::concat_names_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1458 | } |
| 1459 | |
| 1460 | // aten::concat.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 1461 | inline at::Tensor & concat_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 1462 | return at::_ops::concat_names_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1463 | } |
| 1464 | |
| 1465 | // aten::concatenate(Tensor[] tensors, int dim=0) -> Tensor |
| 1466 | inline at::Tensor concatenate(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) { |
| 1467 | return at::_ops::concatenate::redispatch(dispatchKeySet, tensors, dim); |
| 1468 | } |
| 1469 | |
| 1470 | // aten::concatenate.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 1471 | inline at::Tensor & concatenate_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) { |
| 1472 | return at::_ops::concatenate_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1473 | } |
| 1474 | |
| 1475 | // aten::concatenate.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 1476 | inline at::Tensor & concatenate_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 1477 | return at::_ops::concatenate_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1478 | } |
| 1479 | |
| 1480 | // aten::concatenate.names(Tensor[] tensors, Dimname dim) -> Tensor |
| 1481 | inline at::Tensor concatenate(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim) { |
| 1482 | return at::_ops::concatenate_names::redispatch(dispatchKeySet, tensors, dim); |
| 1483 | } |
| 1484 | |
| 1485 | // aten::concatenate.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 1486 | inline at::Tensor & concatenate_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, at::Dimname dim) { |
| 1487 | return at::_ops::concatenate_names_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1488 | } |
| 1489 | |
| 1490 | // aten::concatenate.names_out(Tensor[] tensors, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 1491 | inline at::Tensor & concatenate_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 1492 | return at::_ops::concatenate_names_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 1493 | } |
| 1494 | |
| 1495 | // aten::block_diag(Tensor[] tensors) -> Tensor |
| 1496 | inline at::Tensor block_diag(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 1497 | return at::_ops::block_diag::redispatch(dispatchKeySet, tensors); |
| 1498 | } |
| 1499 | |
| 1500 | // aten::ceil(Tensor self) -> Tensor |
| 1501 | inline at::Tensor ceil(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1502 | return at::_ops::ceil::redispatch(dispatchKeySet, self); |
| 1503 | } |
| 1504 | |
| 1505 | // aten::ceil_(Tensor(a!) self) -> Tensor(a!) |
| 1506 | inline at::Tensor & ceil_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 1507 | return at::_ops::ceil_::redispatch(dispatchKeySet, self); |
| 1508 | } |
| 1509 | |
| 1510 | // aten::ceil.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1511 | inline at::Tensor & ceil_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 1512 | return at::_ops::ceil_out::redispatch(dispatchKeySet, self, out); |
| 1513 | } |
| 1514 | |
| 1515 | // aten::ceil.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1516 | inline at::Tensor & ceil_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1517 | return at::_ops::ceil_out::redispatch(dispatchKeySet, self, out); |
| 1518 | } |
| 1519 | |
| 1520 | // aten::chain_matmul(Tensor[] matrices) -> Tensor |
| 1521 | inline at::Tensor chain_matmul(c10::DispatchKeySet dispatchKeySet, at::TensorList matrices) { |
| 1522 | return at::_ops::chain_matmul::redispatch(dispatchKeySet, matrices); |
| 1523 | } |
| 1524 | |
| 1525 | // aten::chain_matmul.out(Tensor[] matrices, *, Tensor(a!) out) -> Tensor(a!) |
| 1526 | inline at::Tensor & chain_matmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList matrices) { |
| 1527 | return at::_ops::chain_matmul_out::redispatch(dispatchKeySet, matrices, out); |
| 1528 | } |
| 1529 | |
| 1530 | // aten::chain_matmul.out(Tensor[] matrices, *, Tensor(a!) out) -> Tensor(a!) |
| 1531 | inline at::Tensor & chain_matmul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList matrices, at::Tensor & out) { |
| 1532 | return at::_ops::chain_matmul_out::redispatch(dispatchKeySet, matrices, out); |
| 1533 | } |
| 1534 | |
| 1535 | // aten::unsafe_chunk(Tensor self, int chunks, int dim=0) -> Tensor[] |
| 1536 | inline ::std::vector<at::Tensor> unsafe_chunk(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t chunks, int64_t dim=0) { |
| 1537 | return at::_ops::unsafe_chunk::redispatch(dispatchKeySet, self, chunks, dim); |
| 1538 | } |
| 1539 | |
| 1540 | // aten::chunk(Tensor(a -> *) self, int chunks, int dim=0) -> Tensor(a)[] |
| 1541 | inline ::std::vector<at::Tensor> chunk(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t chunks, int64_t dim=0) { |
| 1542 | return at::_ops::chunk::redispatch(dispatchKeySet, self, chunks, dim); |
| 1543 | } |
| 1544 | |
| 1545 | // aten::tensor_split.sections(Tensor(a -> *) self, SymInt sections, int dim=0) -> Tensor(a)[] |
| 1546 | inline ::std::vector<at::Tensor> tensor_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections, int64_t dim=0) { |
| 1547 | return at::_ops::tensor_split_sections::redispatch(dispatchKeySet, self, sections, dim); |
| 1548 | } |
| 1549 | |
| 1550 | // aten::tensor_split.sections(Tensor(a -> *) self, SymInt sections, int dim=0) -> Tensor(a)[] |
| 1551 | inline ::std::vector<at::Tensor> tensor_split_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt sections, int64_t dim=0) { |
| 1552 | return at::_ops::tensor_split_sections::redispatch(dispatchKeySet, self, sections, dim); |
| 1553 | } |
| 1554 | |
| 1555 | // aten::tensor_split.indices(Tensor(a -> *) self, SymInt[] indices, int dim=0) -> Tensor(a)[] |
| 1556 | inline ::std::vector<at::Tensor> tensor_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices, int64_t dim=0) { |
| 1557 | return at::_ops::tensor_split_indices::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(indices), dim); |
| 1558 | } |
| 1559 | |
| 1560 | // aten::tensor_split.indices(Tensor(a -> *) self, SymInt[] indices, int dim=0) -> Tensor(a)[] |
| 1561 | inline ::std::vector<at::Tensor> tensor_split_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef indices, int64_t dim=0) { |
| 1562 | return at::_ops::tensor_split_indices::redispatch(dispatchKeySet, self, indices, dim); |
| 1563 | } |
| 1564 | |
| 1565 | // aten::tensor_split.tensor_indices_or_sections(Tensor(a -> *) self, Tensor tensor_indices_or_sections, int dim=0) -> Tensor(a)[] |
| 1566 | inline ::std::vector<at::Tensor> tensor_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor_indices_or_sections, int64_t dim=0) { |
| 1567 | return at::_ops::tensor_split_tensor_indices_or_sections::redispatch(dispatchKeySet, self, tensor_indices_or_sections, dim); |
| 1568 | } |
| 1569 | |
| 1570 | // aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor |
| 1571 | inline at::Tensor clamp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) { |
| 1572 | return at::_ops::clamp::redispatch(dispatchKeySet, self, min, max); |
| 1573 | } |
| 1574 | |
| 1575 | // aten::clamp.Tensor(Tensor self, Tensor? min=None, Tensor? max=None) -> Tensor |
| 1576 | inline at::Tensor clamp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) { |
| 1577 | return at::_ops::clamp_Tensor::redispatch(dispatchKeySet, self, min, max); |
| 1578 | } |
| 1579 | |
| 1580 | // aten::clamp_(Tensor(a!) self, Scalar? min=None, Scalar? max=None) -> Tensor(a!) |
| 1581 | inline at::Tensor & clamp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) { |
| 1582 | return at::_ops::clamp_::redispatch(dispatchKeySet, self, min, max); |
| 1583 | } |
| 1584 | |
| 1585 | // aten::clamp_.Tensor(Tensor(a!) self, Tensor? min=None, Tensor? max=None) -> Tensor(a!) |
| 1586 | inline at::Tensor & clamp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) { |
| 1587 | return at::_ops::clamp__Tensor::redispatch(dispatchKeySet, self, min, max); |
| 1588 | } |
| 1589 | |
| 1590 | // aten::clamp.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1591 | inline at::Tensor & clamp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) { |
| 1592 | return at::_ops::clamp_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1593 | } |
| 1594 | |
| 1595 | // aten::clamp.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1596 | inline at::Tensor & clamp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max, at::Tensor & out) { |
| 1597 | return at::_ops::clamp_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1598 | } |
| 1599 | |
| 1600 | // aten::clamp.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1601 | inline at::Tensor & clamp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) { |
| 1602 | return at::_ops::clamp_Tensor_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1603 | } |
| 1604 | |
| 1605 | // aten::clamp.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1606 | inline at::Tensor & clamp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max, at::Tensor & out) { |
| 1607 | return at::_ops::clamp_Tensor_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1608 | } |
| 1609 | |
| 1610 | // aten::clamp_max(Tensor self, Scalar max) -> Tensor |
| 1611 | inline at::Tensor clamp_max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & max) { |
| 1612 | return at::_ops::clamp_max::redispatch(dispatchKeySet, self, max); |
| 1613 | } |
| 1614 | |
| 1615 | // aten::clamp_max.Tensor(Tensor self, Tensor max) -> Tensor |
| 1616 | inline at::Tensor clamp_max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & max) { |
| 1617 | return at::_ops::clamp_max_Tensor::redispatch(dispatchKeySet, self, max); |
| 1618 | } |
| 1619 | |
| 1620 | // aten::clamp_max_(Tensor(a!) self, Scalar max) -> Tensor(a!) |
| 1621 | inline at::Tensor & clamp_max_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & max) { |
| 1622 | return at::_ops::clamp_max_::redispatch(dispatchKeySet, self, max); |
| 1623 | } |
| 1624 | |
| 1625 | // aten::clamp_max_.Tensor(Tensor(a!) self, Tensor max) -> Tensor(a!) |
| 1626 | inline at::Tensor & clamp_max_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & max) { |
| 1627 | return at::_ops::clamp_max__Tensor::redispatch(dispatchKeySet, self, max); |
| 1628 | } |
| 1629 | |
| 1630 | // aten::clamp_max.out(Tensor self, Scalar max, *, Tensor(a!) out) -> Tensor(a!) |
| 1631 | inline at::Tensor & clamp_max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & max) { |
| 1632 | return at::_ops::clamp_max_out::redispatch(dispatchKeySet, self, max, out); |
| 1633 | } |
| 1634 | |
| 1635 | // aten::clamp_max.out(Tensor self, Scalar max, *, Tensor(a!) out) -> Tensor(a!) |
| 1636 | inline at::Tensor & clamp_max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & max, at::Tensor & out) { |
| 1637 | return at::_ops::clamp_max_out::redispatch(dispatchKeySet, self, max, out); |
| 1638 | } |
| 1639 | |
| 1640 | // aten::clamp_max.Tensor_out(Tensor self, Tensor max, *, Tensor(a!) out) -> Tensor(a!) |
| 1641 | inline at::Tensor & clamp_max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & max) { |
| 1642 | return at::_ops::clamp_max_Tensor_out::redispatch(dispatchKeySet, self, max, out); |
| 1643 | } |
| 1644 | |
| 1645 | // aten::clamp_max.Tensor_out(Tensor self, Tensor max, *, Tensor(a!) out) -> Tensor(a!) |
| 1646 | inline at::Tensor & clamp_max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & max, at::Tensor & out) { |
| 1647 | return at::_ops::clamp_max_Tensor_out::redispatch(dispatchKeySet, self, max, out); |
| 1648 | } |
| 1649 | |
| 1650 | // aten::clamp_min(Tensor self, Scalar min) -> Tensor |
| 1651 | inline at::Tensor clamp_min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min) { |
| 1652 | return at::_ops::clamp_min::redispatch(dispatchKeySet, self, min); |
| 1653 | } |
| 1654 | |
| 1655 | // aten::clamp_min.Tensor(Tensor self, Tensor min) -> Tensor |
| 1656 | inline at::Tensor clamp_min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & min) { |
| 1657 | return at::_ops::clamp_min_Tensor::redispatch(dispatchKeySet, self, min); |
| 1658 | } |
| 1659 | |
| 1660 | // aten::clamp_min_(Tensor(a!) self, Scalar min) -> Tensor(a!) |
| 1661 | inline at::Tensor & clamp_min_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & min) { |
| 1662 | return at::_ops::clamp_min_::redispatch(dispatchKeySet, self, min); |
| 1663 | } |
| 1664 | |
| 1665 | // aten::clamp_min_.Tensor(Tensor(a!) self, Tensor min) -> Tensor(a!) |
| 1666 | inline at::Tensor & clamp_min_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & min) { |
| 1667 | return at::_ops::clamp_min__Tensor::redispatch(dispatchKeySet, self, min); |
| 1668 | } |
| 1669 | |
| 1670 | // aten::clamp_min.out(Tensor self, Scalar min, *, Tensor(a!) out) -> Tensor(a!) |
| 1671 | inline at::Tensor & clamp_min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & min) { |
| 1672 | return at::_ops::clamp_min_out::redispatch(dispatchKeySet, self, min, out); |
| 1673 | } |
| 1674 | |
| 1675 | // aten::clamp_min.out(Tensor self, Scalar min, *, Tensor(a!) out) -> Tensor(a!) |
| 1676 | inline at::Tensor & clamp_min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min, at::Tensor & out) { |
| 1677 | return at::_ops::clamp_min_out::redispatch(dispatchKeySet, self, min, out); |
| 1678 | } |
| 1679 | |
| 1680 | // aten::clamp_min.Tensor_out(Tensor self, Tensor min, *, Tensor(a!) out) -> Tensor(a!) |
| 1681 | inline at::Tensor & clamp_min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & min) { |
| 1682 | return at::_ops::clamp_min_Tensor_out::redispatch(dispatchKeySet, self, min, out); |
| 1683 | } |
| 1684 | |
| 1685 | // aten::clamp_min.Tensor_out(Tensor self, Tensor min, *, Tensor(a!) out) -> Tensor(a!) |
| 1686 | inline at::Tensor & clamp_min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & min, at::Tensor & out) { |
| 1687 | return at::_ops::clamp_min_Tensor_out::redispatch(dispatchKeySet, self, min, out); |
| 1688 | } |
| 1689 | |
| 1690 | // aten::clip(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor |
| 1691 | inline at::Tensor clip(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) { |
| 1692 | return at::_ops::clip::redispatch(dispatchKeySet, self, min, max); |
| 1693 | } |
| 1694 | |
| 1695 | // aten::clip.Tensor(Tensor self, Tensor? min=None, Tensor? max=None) -> Tensor |
| 1696 | inline at::Tensor clip(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) { |
| 1697 | return at::_ops::clip_Tensor::redispatch(dispatchKeySet, self, min, max); |
| 1698 | } |
| 1699 | |
| 1700 | // aten::clip_(Tensor(a!) self, Scalar? min=None, Scalar? max=None) -> Tensor(a!) |
| 1701 | inline at::Tensor & clip_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) { |
| 1702 | return at::_ops::clip_::redispatch(dispatchKeySet, self, min, max); |
| 1703 | } |
| 1704 | |
| 1705 | // aten::clip_.Tensor(Tensor(a!) self, Tensor? min=None, Tensor? max=None) -> Tensor(a!) |
| 1706 | inline at::Tensor & clip_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) { |
| 1707 | return at::_ops::clip__Tensor::redispatch(dispatchKeySet, self, min, max); |
| 1708 | } |
| 1709 | |
| 1710 | // aten::clip.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1711 | inline at::Tensor & clip_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) { |
| 1712 | return at::_ops::clip_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1713 | } |
| 1714 | |
| 1715 | // aten::clip.out(Tensor self, Scalar? min=None, Scalar? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1716 | inline at::Tensor & clip_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max, at::Tensor & out) { |
| 1717 | return at::_ops::clip_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1718 | } |
| 1719 | |
| 1720 | // aten::clip.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1721 | inline at::Tensor & clip_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) { |
| 1722 | return at::_ops::clip_Tensor_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1723 | } |
| 1724 | |
| 1725 | // aten::clip.Tensor_out(Tensor self, Tensor? min=None, Tensor? max=None, *, Tensor(a!) out) -> Tensor(a!) |
| 1726 | inline at::Tensor & clip_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max, at::Tensor & out) { |
| 1727 | return at::_ops::clip_Tensor_out::redispatch(dispatchKeySet, self, min, max, out); |
| 1728 | } |
| 1729 | |
| 1730 | // aten::cudnn_is_acceptable(Tensor self) -> bool |
| 1731 | inline bool cudnn_is_acceptable(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1732 | return at::_ops::cudnn_is_acceptable::redispatch(dispatchKeySet, self); |
| 1733 | } |
| 1734 | |
| 1735 | // aten::complex(Tensor real, Tensor imag) -> Tensor |
| 1736 | inline at::Tensor complex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & real, const at::Tensor & imag) { |
| 1737 | return at::_ops::complex::redispatch(dispatchKeySet, real, imag); |
| 1738 | } |
| 1739 | |
| 1740 | // aten::complex.out(Tensor real, Tensor imag, *, Tensor(a!) out) -> Tensor(a!) |
| 1741 | inline at::Tensor & complex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & real, const at::Tensor & imag) { |
| 1742 | return at::_ops::complex_out::redispatch(dispatchKeySet, real, imag, out); |
| 1743 | } |
| 1744 | |
| 1745 | // aten::complex.out(Tensor real, Tensor imag, *, Tensor(a!) out) -> Tensor(a!) |
| 1746 | inline at::Tensor & complex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & real, const at::Tensor & imag, at::Tensor & out) { |
| 1747 | return at::_ops::complex_out::redispatch(dispatchKeySet, real, imag, out); |
| 1748 | } |
| 1749 | |
| 1750 | // aten::polar(Tensor abs, Tensor angle) -> Tensor |
| 1751 | inline at::Tensor polar(c10::DispatchKeySet dispatchKeySet, const at::Tensor & abs, const at::Tensor & angle) { |
| 1752 | return at::_ops::polar::redispatch(dispatchKeySet, abs, angle); |
| 1753 | } |
| 1754 | |
| 1755 | // aten::polar.out(Tensor abs, Tensor angle, *, Tensor(a!) out) -> Tensor(a!) |
| 1756 | inline at::Tensor & polar_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & abs, const at::Tensor & angle) { |
| 1757 | return at::_ops::polar_out::redispatch(dispatchKeySet, abs, angle, out); |
| 1758 | } |
| 1759 | |
| 1760 | // aten::polar.out(Tensor abs, Tensor angle, *, Tensor(a!) out) -> Tensor(a!) |
| 1761 | inline at::Tensor & polar_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & abs, const at::Tensor & angle, at::Tensor & out) { |
| 1762 | return at::_ops::polar_out::redispatch(dispatchKeySet, abs, angle, out); |
| 1763 | } |
| 1764 | |
| 1765 | // aten::constant_pad_nd(Tensor self, SymInt[] pad, Scalar value=0) -> Tensor |
| 1766 | inline at::Tensor constant_pad_nd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef pad, const at::Scalar & value=0) { |
| 1767 | return at::_ops::constant_pad_nd::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(pad), value); |
| 1768 | } |
| 1769 | |
| 1770 | // aten::constant_pad_nd(Tensor self, SymInt[] pad, Scalar value=0) -> Tensor |
| 1771 | inline at::Tensor constant_pad_nd_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef pad, const at::Scalar & value=0) { |
| 1772 | return at::_ops::constant_pad_nd::redispatch(dispatchKeySet, self, pad, value); |
| 1773 | } |
| 1774 | |
| 1775 | // aten::contiguous(Tensor(a) self, *, MemoryFormat memory_format=contiguous_format) -> Tensor(a) |
| 1776 | inline at::Tensor __dispatch_contiguous(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::MemoryFormat memory_format=MemoryFormat::Contiguous) { |
| 1777 | return at::_ops::contiguous::redispatch(dispatchKeySet, self, memory_format); |
| 1778 | } |
| 1779 | |
| 1780 | // aten::convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups) -> Tensor |
| 1781 | inline at::Tensor convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups) { |
| 1782 | return at::_ops::convolution::redispatch(dispatchKeySet, input, weight, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups); |
| 1783 | } |
| 1784 | |
| 1785 | // aten::convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups) -> Tensor |
| 1786 | inline at::Tensor convolution_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups) { |
| 1787 | return at::_ops::convolution::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups); |
| 1788 | } |
| 1789 | |
| 1790 | // aten::convolution_backward(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 1791 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> convolution_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::OptionalIntArrayRef bias_sizes, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 1792 | return at::_ops::convolution_backward::redispatch(dispatchKeySet, grad_output, input, weight, bias_sizes.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*bias_sizes)) : c10::nullopt, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, output_mask); |
| 1793 | } |
| 1794 | |
| 1795 | // aten::convolution_backward(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 1796 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> convolution_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::OptionalSymIntArrayRef bias_sizes, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 1797 | return at::_ops::convolution_backward::redispatch(dispatchKeySet, grad_output, input, weight, bias_sizes, stride, padding, dilation, transposed, output_padding, groups, output_mask); |
| 1798 | } |
| 1799 | |
| 1800 | // aten::convolution_overrideable(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups) -> Tensor |
| 1801 | inline at::Tensor convolution_overrideable(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups) { |
| 1802 | return at::_ops::convolution_overrideable::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups); |
| 1803 | } |
| 1804 | |
| 1805 | // aten::convolution_backward_overrideable(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias) |
| 1806 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> convolution_backward_overrideable(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 1807 | return at::_ops::convolution_backward_overrideable::redispatch(dispatchKeySet, grad_output, input, weight, stride, padding, dilation, transposed, output_padding, groups, output_mask); |
| 1808 | } |
| 1809 | |
| 1810 | // aten::_convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) -> Tensor |
| 1811 | inline at::Tensor _convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) { |
| 1812 | return at::_ops::_convolution::redispatch(dispatchKeySet, input, weight, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, benchmark, deterministic, cudnn_enabled, allow_tf32); |
| 1813 | } |
| 1814 | |
| 1815 | // aten::_convolution(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) -> Tensor |
| 1816 | inline at::Tensor _convolution_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) { |
| 1817 | return at::_ops::_convolution::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled, allow_tf32); |
| 1818 | } |
| 1819 | |
| 1820 | // aten::_convolution.deprecated(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled) -> Tensor |
| 1821 | inline at::Tensor _convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled) { |
| 1822 | return at::_ops::_convolution_deprecated::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled); |
| 1823 | } |
| 1824 | |
| 1825 | // aten::_convolution_mode(Tensor input, Tensor weight, Tensor? bias, int[] stride, str padding, int[] dilation, int groups) -> Tensor |
| 1826 | inline at::Tensor _convolution_mode(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation, int64_t groups) { |
| 1827 | return at::_ops::_convolution_mode::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups); |
| 1828 | } |
| 1829 | |
| 1830 | // aten::_convolution_double_backward(Tensor? ggI, Tensor? ggW, Tensor? ggb, Tensor gO, Tensor weight, Tensor self, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 1831 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _convolution_double_backward(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & ggI, const c10::optional<at::Tensor> & ggW, const c10::optional<at::Tensor> & ggb, const at::Tensor & gO, const at::Tensor & weight, const at::Tensor & self, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 1832 | return at::_ops::_convolution_double_backward::redispatch(dispatchKeySet, ggI, ggW, ggb, gO, weight, self, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, output_mask); |
| 1833 | } |
| 1834 | |
| 1835 | // aten::_convolution_double_backward(Tensor? ggI, Tensor? ggW, Tensor? ggb, Tensor gO, Tensor weight, Tensor self, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 1836 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _convolution_double_backward_symint(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & ggI, const c10::optional<at::Tensor> & ggW, const c10::optional<at::Tensor> & ggb, const at::Tensor & gO, const at::Tensor & weight, const at::Tensor & self, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 1837 | return at::_ops::_convolution_double_backward::redispatch(dispatchKeySet, ggI, ggW, ggb, gO, weight, self, stride, padding, dilation, transposed, output_padding, groups, output_mask); |
| 1838 | } |
| 1839 | |
| 1840 | // aten::conv1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] dilation=1, int groups=1) -> Tensor |
| 1841 | inline at::Tensor conv1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 1842 | return at::_ops::conv1d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups); |
| 1843 | } |
| 1844 | |
| 1845 | // aten::conv2d(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] dilation=1, int groups=1) -> Tensor |
| 1846 | inline at::Tensor conv2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 1847 | return at::_ops::conv2d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups); |
| 1848 | } |
| 1849 | |
| 1850 | // aten::conv3d(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] dilation=1, int groups=1) -> Tensor |
| 1851 | inline at::Tensor conv3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 1852 | return at::_ops::conv3d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups); |
| 1853 | } |
| 1854 | |
| 1855 | // aten::conv1d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, str padding="valid", int[1] dilation=1, int groups=1) -> Tensor |
| 1856 | inline at::Tensor conv1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 1857 | return at::_ops::conv1d_padding::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups); |
| 1858 | } |
| 1859 | |
| 1860 | // aten::conv2d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, str padding="valid", int[2] dilation=1, int groups=1) -> Tensor |
| 1861 | inline at::Tensor conv2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 1862 | return at::_ops::conv2d_padding::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups); |
| 1863 | } |
| 1864 | |
| 1865 | // aten::conv3d.padding(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, str padding="valid", int[3] dilation=1, int groups=1) -> Tensor |
| 1866 | inline at::Tensor conv3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::string_view padding, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 1867 | return at::_ops::conv3d_padding::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, groups); |
| 1868 | } |
| 1869 | |
| 1870 | // aten::conv_tbc(Tensor self, Tensor weight, Tensor bias, int pad=0) -> Tensor |
| 1871 | inline at::Tensor conv_tbc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & bias, int64_t pad=0) { |
| 1872 | return at::_ops::conv_tbc::redispatch(dispatchKeySet, self, weight, bias, pad); |
| 1873 | } |
| 1874 | |
| 1875 | // aten::conv_tbc_backward(Tensor self, Tensor input, Tensor weight, Tensor bias, int pad) -> (Tensor, Tensor, Tensor) |
| 1876 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> conv_tbc_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & bias, int64_t pad) { |
| 1877 | return at::_ops::conv_tbc_backward::redispatch(dispatchKeySet, self, input, weight, bias, pad); |
| 1878 | } |
| 1879 | |
| 1880 | // aten::conv_transpose1d(Tensor input, Tensor weight, Tensor? bias=None, int[1] stride=1, int[1] padding=0, int[1] output_padding=0, int groups=1, int[1] dilation=1) -> Tensor |
| 1881 | inline at::Tensor conv_transpose1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, int64_t groups=1, at::IntArrayRef dilation=1) { |
| 1882 | return at::_ops::conv_transpose1d::redispatch(dispatchKeySet, input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 1883 | } |
| 1884 | |
| 1885 | // aten::conv_transpose2d.input(Tensor input, Tensor weight, Tensor? bias=None, int[2] stride=1, int[2] padding=0, int[2] output_padding=0, int groups=1, int[2] dilation=1) -> Tensor |
| 1886 | inline at::Tensor conv_transpose2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, int64_t groups=1, at::IntArrayRef dilation=1) { |
| 1887 | return at::_ops::conv_transpose2d_input::redispatch(dispatchKeySet, input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 1888 | } |
| 1889 | |
| 1890 | // aten::conv_transpose3d.input(Tensor input, Tensor weight, Tensor? bias=None, int[3] stride=1, int[3] padding=0, int[3] output_padding=0, int groups=1, int[3] dilation=1) -> Tensor |
| 1891 | inline at::Tensor conv_transpose3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, int64_t groups=1, at::IntArrayRef dilation=1) { |
| 1892 | return at::_ops::conv_transpose3d_input::redispatch(dispatchKeySet, input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 1893 | } |
| 1894 | |
| 1895 | // aten::copy(Tensor self, Tensor src, bool non_blocking=False) -> Tensor |
| 1896 | inline at::Tensor copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, bool non_blocking=false) { |
| 1897 | return at::_ops::copy::redispatch(dispatchKeySet, self, src, non_blocking); |
| 1898 | } |
| 1899 | |
| 1900 | // aten::copy_(Tensor(a!) self, Tensor src, bool non_blocking=False) -> Tensor(a!) |
| 1901 | inline at::Tensor & copy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & src, bool non_blocking=false) { |
| 1902 | return at::_ops::copy_::redispatch(dispatchKeySet, self, src, non_blocking); |
| 1903 | } |
| 1904 | |
| 1905 | // aten::_copy_from(Tensor self, Tensor dst, bool non_blocking=False) -> Tensor |
| 1906 | inline at::Tensor _copy_from(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & dst, bool non_blocking=false) { |
| 1907 | return at::_ops::_copy_from::redispatch(dispatchKeySet, self, dst, non_blocking); |
| 1908 | } |
| 1909 | |
| 1910 | // aten::_copy_from_and_resize(Tensor self, Tensor dst) -> Tensor |
| 1911 | inline at::Tensor _copy_from_and_resize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & dst) { |
| 1912 | return at::_ops::_copy_from_and_resize::redispatch(dispatchKeySet, self, dst); |
| 1913 | } |
| 1914 | |
| 1915 | // aten::cos(Tensor self) -> Tensor |
| 1916 | inline at::Tensor cos(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1917 | return at::_ops::cos::redispatch(dispatchKeySet, self); |
| 1918 | } |
| 1919 | |
| 1920 | // aten::cos_(Tensor(a!) self) -> Tensor(a!) |
| 1921 | inline at::Tensor & cos_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 1922 | return at::_ops::cos_::redispatch(dispatchKeySet, self); |
| 1923 | } |
| 1924 | |
| 1925 | // aten::cos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1926 | inline at::Tensor & cos_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 1927 | return at::_ops::cos_out::redispatch(dispatchKeySet, self, out); |
| 1928 | } |
| 1929 | |
| 1930 | // aten::cos.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1931 | inline at::Tensor & cos_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1932 | return at::_ops::cos_out::redispatch(dispatchKeySet, self, out); |
| 1933 | } |
| 1934 | |
| 1935 | // aten::cosh(Tensor self) -> Tensor |
| 1936 | inline at::Tensor cosh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1937 | return at::_ops::cosh::redispatch(dispatchKeySet, self); |
| 1938 | } |
| 1939 | |
| 1940 | // aten::cosh_(Tensor(a!) self) -> Tensor(a!) |
| 1941 | inline at::Tensor & cosh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 1942 | return at::_ops::cosh_::redispatch(dispatchKeySet, self); |
| 1943 | } |
| 1944 | |
| 1945 | // aten::cosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1946 | inline at::Tensor & cosh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 1947 | return at::_ops::cosh_out::redispatch(dispatchKeySet, self, out); |
| 1948 | } |
| 1949 | |
| 1950 | // aten::cosh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 1951 | inline at::Tensor & cosh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 1952 | return at::_ops::cosh_out::redispatch(dispatchKeySet, self, out); |
| 1953 | } |
| 1954 | |
| 1955 | // aten::cosine_embedding_loss(Tensor input1, Tensor input2, Tensor target, float margin=0.0, int reduction=Mean) -> Tensor |
| 1956 | inline at::Tensor cosine_embedding_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin=0.0, int64_t reduction=at::Reduction::Mean) { |
| 1957 | return at::_ops::cosine_embedding_loss::redispatch(dispatchKeySet, input1, input2, target, margin, reduction); |
| 1958 | } |
| 1959 | |
| 1960 | // aten::count_nonzero.dim_IntList(Tensor self, int[] dim) -> Tensor |
| 1961 | inline at::Tensor count_nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim) { |
| 1962 | return at::_ops::count_nonzero_dim_IntList::redispatch(dispatchKeySet, self, dim); |
| 1963 | } |
| 1964 | |
| 1965 | // aten::count_nonzero(Tensor self, int? dim=None) -> Tensor |
| 1966 | inline at::Tensor count_nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt) { |
| 1967 | return at::_ops::count_nonzero::redispatch(dispatchKeySet, self, dim); |
| 1968 | } |
| 1969 | |
| 1970 | // aten::cov(Tensor self, *, int correction=1, Tensor? fweights=None, Tensor? aweights=None) -> Tensor |
| 1971 | inline at::Tensor cov(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t correction=1, const c10::optional<at::Tensor> & fweights={}, const c10::optional<at::Tensor> & aweights={}) { |
| 1972 | return at::_ops::cov::redispatch(dispatchKeySet, self, correction, fweights, aweights); |
| 1973 | } |
| 1974 | |
| 1975 | // aten::corrcoef(Tensor self) -> Tensor |
| 1976 | inline at::Tensor corrcoef(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 1977 | return at::_ops::corrcoef::redispatch(dispatchKeySet, self); |
| 1978 | } |
| 1979 | |
| 1980 | // aten::cudnn_affine_grid_generator(Tensor theta, int N, int C, int H, int W) -> Tensor grid |
| 1981 | inline at::Tensor cudnn_affine_grid_generator(c10::DispatchKeySet dispatchKeySet, const at::Tensor & theta, int64_t N, int64_t C, int64_t H, int64_t W) { |
| 1982 | return at::_ops::cudnn_affine_grid_generator::redispatch(dispatchKeySet, theta, N, C, H, W); |
| 1983 | } |
| 1984 | |
| 1985 | // aten::cudnn_affine_grid_generator_backward(Tensor grad, int N, int C, int H, int W) -> Tensor grad_theta |
| 1986 | inline at::Tensor cudnn_affine_grid_generator_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, int64_t N, int64_t C, int64_t H, int64_t W) { |
| 1987 | return at::_ops::cudnn_affine_grid_generator_backward::redispatch(dispatchKeySet, grad, N, C, H, W); |
| 1988 | } |
| 1989 | |
| 1990 | // aten::cudnn_batch_norm(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon) -> (Tensor, Tensor, Tensor, Tensor) |
| 1991 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> cudnn_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon) { |
| 1992 | return at::_ops::cudnn_batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon); |
| 1993 | } |
| 1994 | |
| 1995 | // aten::cudnn_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon, Tensor reserveSpace) -> (Tensor, Tensor, Tensor) |
| 1996 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> cudnn_batch_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon, const at::Tensor & reserveSpace) { |
| 1997 | return at::_ops::cudnn_batch_norm_backward::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace); |
| 1998 | } |
| 1999 | |
| 2000 | // aten::cudnn_convolution(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor |
| 2001 | inline at::Tensor cudnn_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) { |
| 2002 | return at::_ops::cudnn_convolution::redispatch(dispatchKeySet, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); |
| 2003 | } |
| 2004 | |
| 2005 | // aten::cudnn_convolution_transpose(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32) -> Tensor |
| 2006 | inline at::Tensor cudnn_convolution_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) { |
| 2007 | return at::_ops::cudnn_convolution_transpose::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32); |
| 2008 | } |
| 2009 | |
| 2010 | // aten::_mps_convolution_transpose(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups) -> Tensor |
| 2011 | inline at::Tensor _mps_convolution_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 2012 | return at::_ops::_mps_convolution_transpose::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups); |
| 2013 | } |
| 2014 | |
| 2015 | // aten::mps_convolution_transpose_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool[2] output_mask) -> (Tensor, Tensor) |
| 2016 | inline ::std::tuple<at::Tensor,at::Tensor> mps_convolution_transpose_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, ::std::array<bool,2> output_mask) { |
| 2017 | return at::_ops::mps_convolution_transpose_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, output_padding, stride, dilation, groups, output_mask); |
| 2018 | } |
| 2019 | |
| 2020 | // aten::cudnn_convolution_relu(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor |
| 2021 | inline at::Tensor cudnn_convolution_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 2022 | return at::_ops::cudnn_convolution_relu::redispatch(dispatchKeySet, self, weight, bias, stride, padding, dilation, groups); |
| 2023 | } |
| 2024 | |
| 2025 | // aten::cudnn_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor |
| 2026 | inline at::Tensor cudnn_convolution_add_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & z, const c10::optional<at::Scalar> & alpha, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 2027 | return at::_ops::cudnn_convolution_add_relu::redispatch(dispatchKeySet, self, weight, z, alpha, bias, stride, padding, dilation, groups); |
| 2028 | } |
| 2029 | |
| 2030 | // aten::cudnn_grid_sampler(Tensor self, Tensor grid) -> Tensor output |
| 2031 | inline at::Tensor cudnn_grid_sampler(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid) { |
| 2032 | return at::_ops::cudnn_grid_sampler::redispatch(dispatchKeySet, self, grid); |
| 2033 | } |
| 2034 | |
| 2035 | // aten::cudnn_grid_sampler_backward(Tensor self, Tensor grid, Tensor grad_output) -> (Tensor grad_self, Tensor grad_grid) |
| 2036 | inline ::std::tuple<at::Tensor,at::Tensor> cudnn_grid_sampler_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output) { |
| 2037 | return at::_ops::cudnn_grid_sampler_backward::redispatch(dispatchKeySet, self, grid, grad_output); |
| 2038 | } |
| 2039 | |
| 2040 | // aten::cummax(Tensor self, int dim) -> (Tensor values, Tensor indices) |
| 2041 | inline ::std::tuple<at::Tensor,at::Tensor> cummax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 2042 | return at::_ops::cummax::redispatch(dispatchKeySet, self, dim); |
| 2043 | } |
| 2044 | |
| 2045 | // aten::cummax.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2046 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim) { |
| 2047 | return at::_ops::cummax_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2048 | } |
| 2049 | |
| 2050 | // aten::cummax.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2051 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & values, at::Tensor & indices) { |
| 2052 | return at::_ops::cummax_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2053 | } |
| 2054 | |
| 2055 | // aten::cummax.dimname(Tensor self, Dimname dim) -> (Tensor values, Tensor indices) |
| 2056 | inline ::std::tuple<at::Tensor,at::Tensor> cummax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) { |
| 2057 | return at::_ops::cummax_dimname::redispatch(dispatchKeySet, self, dim); |
| 2058 | } |
| 2059 | |
| 2060 | // aten::cummax.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2061 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim) { |
| 2062 | return at::_ops::cummax_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2063 | } |
| 2064 | |
| 2065 | // aten::cummax.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2066 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) { |
| 2067 | return at::_ops::cummax_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2068 | } |
| 2069 | |
| 2070 | // aten::_cummax_helper(Tensor self, Tensor(a!) values, Tensor(b!) indices, int dim) -> () |
| 2071 | inline void _cummax_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim) { |
| 2072 | return at::_ops::_cummax_helper::redispatch(dispatchKeySet, self, values, indices, dim); |
| 2073 | } |
| 2074 | |
| 2075 | // aten::cummin(Tensor self, int dim) -> (Tensor values, Tensor indices) |
| 2076 | inline ::std::tuple<at::Tensor,at::Tensor> cummin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 2077 | return at::_ops::cummin::redispatch(dispatchKeySet, self, dim); |
| 2078 | } |
| 2079 | |
| 2080 | // aten::cummin.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2081 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim) { |
| 2082 | return at::_ops::cummin_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2083 | } |
| 2084 | |
| 2085 | // aten::cummin.out(Tensor self, int dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2086 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & values, at::Tensor & indices) { |
| 2087 | return at::_ops::cummin_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2088 | } |
| 2089 | |
| 2090 | // aten::cummin.dimname(Tensor self, Dimname dim) -> (Tensor values, Tensor indices) |
| 2091 | inline ::std::tuple<at::Tensor,at::Tensor> cummin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) { |
| 2092 | return at::_ops::cummin_dimname::redispatch(dispatchKeySet, self, dim); |
| 2093 | } |
| 2094 | |
| 2095 | // aten::cummin.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2096 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim) { |
| 2097 | return at::_ops::cummin_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2098 | } |
| 2099 | |
| 2100 | // aten::cummin.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 2101 | inline ::std::tuple<at::Tensor &,at::Tensor &> cummin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) { |
| 2102 | return at::_ops::cummin_dimname_out::redispatch(dispatchKeySet, self, dim, values, indices); |
| 2103 | } |
| 2104 | |
| 2105 | // aten::_cummin_helper(Tensor self, Tensor(a!) values, Tensor(b!) indices, int dim) -> () |
| 2106 | inline void _cummin_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & values, at::Tensor & indices, int64_t dim) { |
| 2107 | return at::_ops::_cummin_helper::redispatch(dispatchKeySet, self, values, indices, dim); |
| 2108 | } |
| 2109 | |
| 2110 | // aten::cummaxmin_backward(Tensor grad, Tensor input, Tensor indices, int dim) -> Tensor |
| 2111 | inline at::Tensor cummaxmin_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input, const at::Tensor & indices, int64_t dim) { |
| 2112 | return at::_ops::cummaxmin_backward::redispatch(dispatchKeySet, grad, input, indices, dim); |
| 2113 | } |
| 2114 | |
| 2115 | // aten::cumprod(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor |
| 2116 | inline at::Tensor cumprod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2117 | return at::_ops::cumprod::redispatch(dispatchKeySet, self, dim, dtype); |
| 2118 | } |
| 2119 | |
| 2120 | // aten::cumprod_(Tensor(a!) self, int dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2121 | inline at::Tensor & cumprod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2122 | return at::_ops::cumprod_::redispatch(dispatchKeySet, self, dim, dtype); |
| 2123 | } |
| 2124 | |
| 2125 | // aten::cumprod.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2126 | inline at::Tensor & cumprod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2127 | return at::_ops::cumprod_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2128 | } |
| 2129 | |
| 2130 | // aten::cumprod.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2131 | inline at::Tensor & cumprod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2132 | return at::_ops::cumprod_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2133 | } |
| 2134 | |
| 2135 | // aten::cumprod.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 2136 | inline at::Tensor cumprod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2137 | return at::_ops::cumprod_dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 2138 | } |
| 2139 | |
| 2140 | // aten::cumprod_.dimname(Tensor(a!) self, Dimname dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2141 | inline at::Tensor & cumprod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2142 | return at::_ops::cumprod__dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 2143 | } |
| 2144 | |
| 2145 | // aten::cumprod.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2146 | inline at::Tensor & cumprod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2147 | return at::_ops::cumprod_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2148 | } |
| 2149 | |
| 2150 | // aten::cumprod.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2151 | inline at::Tensor & cumprod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2152 | return at::_ops::cumprod_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2153 | } |
| 2154 | |
| 2155 | // aten::cumprod_backward(Tensor grad, Tensor input, int dim, Tensor output) -> Tensor |
| 2156 | inline at::Tensor cumprod_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input, int64_t dim, const at::Tensor & output) { |
| 2157 | return at::_ops::cumprod_backward::redispatch(dispatchKeySet, grad, input, dim, output); |
| 2158 | } |
| 2159 | |
| 2160 | // aten::cumsum(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor |
| 2161 | inline at::Tensor cumsum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2162 | return at::_ops::cumsum::redispatch(dispatchKeySet, self, dim, dtype); |
| 2163 | } |
| 2164 | |
| 2165 | // aten::cumsum_(Tensor(a!) self, int dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2166 | inline at::Tensor & cumsum_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2167 | return at::_ops::cumsum_::redispatch(dispatchKeySet, self, dim, dtype); |
| 2168 | } |
| 2169 | |
| 2170 | // aten::cumsum.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2171 | inline at::Tensor & cumsum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2172 | return at::_ops::cumsum_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2173 | } |
| 2174 | |
| 2175 | // aten::cumsum.out(Tensor self, int dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2176 | inline at::Tensor & cumsum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2177 | return at::_ops::cumsum_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2178 | } |
| 2179 | |
| 2180 | // aten::cumsum.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 2181 | inline at::Tensor cumsum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2182 | return at::_ops::cumsum_dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 2183 | } |
| 2184 | |
| 2185 | // aten::cumsum_.dimname(Tensor(a!) self, Dimname dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2186 | inline at::Tensor & cumsum_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2187 | return at::_ops::cumsum__dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 2188 | } |
| 2189 | |
| 2190 | // aten::cumsum.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2191 | inline at::Tensor & cumsum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 2192 | return at::_ops::cumsum_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2193 | } |
| 2194 | |
| 2195 | // aten::cumsum.dimname_out(Tensor self, Dimname dim, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 2196 | inline at::Tensor & cumsum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2197 | return at::_ops::cumsum_dimname_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 2198 | } |
| 2199 | |
| 2200 | // aten::cumulative_trapezoid.x(Tensor y, Tensor x, *, int dim=-1) -> Tensor |
| 2201 | inline at::Tensor cumulative_trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Tensor & x, int64_t dim=-1) { |
| 2202 | return at::_ops::cumulative_trapezoid_x::redispatch(dispatchKeySet, y, x, dim); |
| 2203 | } |
| 2204 | |
| 2205 | // aten::cumulative_trapezoid.dx(Tensor y, *, Scalar dx=1, int dim=-1) -> Tensor |
| 2206 | inline at::Tensor cumulative_trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Scalar & dx=1, int64_t dim=-1) { |
| 2207 | return at::_ops::cumulative_trapezoid_dx::redispatch(dispatchKeySet, y, dx, dim); |
| 2208 | } |
| 2209 | |
| 2210 | // aten::ctc_loss.IntList(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank=0, int reduction=Mean, bool zero_infinity=False) -> Tensor |
| 2211 | inline at::Tensor ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank=0, int64_t reduction=at::Reduction::Mean, bool zero_infinity=false) { |
| 2212 | return at::_ops::ctc_loss_IntList::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity); |
| 2213 | } |
| 2214 | |
| 2215 | // aten::ctc_loss.Tensor(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, int blank=0, int reduction=Mean, bool zero_infinity=False) -> Tensor |
| 2216 | inline at::Tensor ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank=0, int64_t reduction=at::Reduction::Mean, bool zero_infinity=false) { |
| 2217 | return at::_ops::ctc_loss_Tensor::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity); |
| 2218 | } |
| 2219 | |
| 2220 | // aten::_ctc_loss(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank=0, bool zero_infinity=False) -> (Tensor, Tensor) |
| 2221 | inline ::std::tuple<at::Tensor,at::Tensor> _ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank=0, bool zero_infinity=false) { |
| 2222 | return at::_ops::_ctc_loss::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, zero_infinity); |
| 2223 | } |
| 2224 | |
| 2225 | // aten::_ctc_loss.Tensor(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, int blank=0, bool zero_infinity=False) -> (Tensor, Tensor) |
| 2226 | inline ::std::tuple<at::Tensor,at::Tensor> _ctc_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank=0, bool zero_infinity=false) { |
| 2227 | return at::_ops::_ctc_loss_Tensor::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, zero_infinity); |
| 2228 | } |
| 2229 | |
| 2230 | // aten::_ctc_loss_backward(Tensor grad, Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, int blank, bool zero_infinity=False) -> Tensor |
| 2231 | inline at::Tensor _ctc_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, const at::Tensor & neg_log_likelihood, const at::Tensor & log_alpha, int64_t blank, bool zero_infinity=false) { |
| 2232 | return at::_ops::_ctc_loss_backward::redispatch(dispatchKeySet, grad, log_probs, targets, input_lengths, target_lengths, neg_log_likelihood, log_alpha, blank, zero_infinity); |
| 2233 | } |
| 2234 | |
| 2235 | // aten::_ctc_loss_backward.Tensor(Tensor grad, Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, int blank, bool zero_infinity=False) -> Tensor |
| 2236 | inline at::Tensor _ctc_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, const at::Tensor & neg_log_likelihood, const at::Tensor & log_alpha, int64_t blank, bool zero_infinity=false) { |
| 2237 | return at::_ops::_ctc_loss_backward_Tensor::redispatch(dispatchKeySet, grad, log_probs, targets, input_lengths, target_lengths, neg_log_likelihood, log_alpha, blank, zero_infinity); |
| 2238 | } |
| 2239 | |
| 2240 | // aten::diag_embed(Tensor self, int offset=0, int dim1=-2, int dim2=-1) -> Tensor |
| 2241 | inline at::Tensor diag_embed(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset=0, int64_t dim1=-2, int64_t dim2=-1) { |
| 2242 | return at::_ops::diag_embed::redispatch(dispatchKeySet, self, offset, dim1, dim2); |
| 2243 | } |
| 2244 | |
| 2245 | // aten::diagflat(Tensor self, int offset=0) -> Tensor |
| 2246 | inline at::Tensor diagflat(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset=0) { |
| 2247 | return at::_ops::diagflat::redispatch(dispatchKeySet, self, offset); |
| 2248 | } |
| 2249 | |
| 2250 | // aten::diagonal(Tensor(a) self, int offset=0, int dim1=0, int dim2=1) -> Tensor(a) |
| 2251 | inline at::Tensor diagonal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) { |
| 2252 | return at::_ops::diagonal::redispatch(dispatchKeySet, self, offset, dim1, dim2); |
| 2253 | } |
| 2254 | |
| 2255 | // aten::linalg_diagonal(Tensor(a) A, *, int offset=0, int dim1=-2, int dim2=-1) -> Tensor(a) |
| 2256 | inline at::Tensor linalg_diagonal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, int64_t offset=0, int64_t dim1=-2, int64_t dim2=-1) { |
| 2257 | return at::_ops::linalg_diagonal::redispatch(dispatchKeySet, A, offset, dim1, dim2); |
| 2258 | } |
| 2259 | |
| 2260 | // aten::diagonal.Dimname(Tensor(a) self, *, Dimname outdim, Dimname dim1, Dimname dim2, int offset=0) -> Tensor(a) |
| 2261 | inline at::Tensor diagonal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset=0) { |
| 2262 | return at::_ops::diagonal_Dimname::redispatch(dispatchKeySet, self, outdim, dim1, dim2, offset); |
| 2263 | } |
| 2264 | |
| 2265 | // aten::diagonal_backward(Tensor grad_output, SymInt[] input_sizes, int offset, int dim1, int dim2) -> Tensor |
| 2266 | inline at::Tensor diagonal_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t offset, int64_t dim1, int64_t dim2) { |
| 2267 | return at::_ops::diagonal_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), offset, dim1, dim2); |
| 2268 | } |
| 2269 | |
| 2270 | // aten::diagonal_backward(Tensor grad_output, SymInt[] input_sizes, int offset, int dim1, int dim2) -> Tensor |
| 2271 | inline at::Tensor diagonal_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t offset, int64_t dim1, int64_t dim2) { |
| 2272 | return at::_ops::diagonal_backward::redispatch(dispatchKeySet, grad_output, input_sizes, offset, dim1, dim2); |
| 2273 | } |
| 2274 | |
| 2275 | // aten::fill_diagonal_(Tensor(a!) self, Scalar fill_value, bool wrap=False) -> Tensor(a!) |
| 2276 | inline at::Tensor & fill_diagonal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & fill_value, bool wrap=false) { |
| 2277 | return at::_ops::fill_diagonal_::redispatch(dispatchKeySet, self, fill_value, wrap); |
| 2278 | } |
| 2279 | |
| 2280 | // aten::diff(Tensor self, int n=1, int dim=-1, Tensor? prepend=None, Tensor? append=None) -> Tensor |
| 2281 | inline at::Tensor diff(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n=1, int64_t dim=-1, const c10::optional<at::Tensor> & prepend={}, const c10::optional<at::Tensor> & append={}) { |
| 2282 | return at::_ops::diff::redispatch(dispatchKeySet, self, n, dim, prepend, append); |
| 2283 | } |
| 2284 | |
| 2285 | // aten::diff.out(Tensor self, int n=1, int dim=-1, Tensor? prepend=None, Tensor? append=None, *, Tensor(a!) out) -> Tensor(a!) |
| 2286 | inline at::Tensor & diff_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t n=1, int64_t dim=-1, const c10::optional<at::Tensor> & prepend={}, const c10::optional<at::Tensor> & append={}) { |
| 2287 | return at::_ops::diff_out::redispatch(dispatchKeySet, self, n, dim, prepend, append, out); |
| 2288 | } |
| 2289 | |
| 2290 | // aten::diff.out(Tensor self, int n=1, int dim=-1, Tensor? prepend=None, Tensor? append=None, *, Tensor(a!) out) -> Tensor(a!) |
| 2291 | inline at::Tensor & diff_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n, int64_t dim, const c10::optional<at::Tensor> & prepend, const c10::optional<at::Tensor> & append, at::Tensor & out) { |
| 2292 | return at::_ops::diff_out::redispatch(dispatchKeySet, self, n, dim, prepend, append, out); |
| 2293 | } |
| 2294 | |
| 2295 | // aten::gradient.scalarint(Tensor self, *, Scalar? spacing=None, int? dim=None, int edge_order=1) -> Tensor[] |
| 2296 | inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & spacing=c10::nullopt, c10::optional<int64_t> dim=c10::nullopt, int64_t edge_order=1) { |
| 2297 | return at::_ops::gradient_scalarint::redispatch(dispatchKeySet, self, spacing, dim, edge_order); |
| 2298 | } |
| 2299 | |
| 2300 | // aten::gradient.scalararray(Tensor self, *, Scalar spacing, int[] dim, int edge_order=1) -> Tensor[] |
| 2301 | inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & spacing, at::IntArrayRef dim, int64_t edge_order=1) { |
| 2302 | return at::_ops::gradient_scalararray::redispatch(dispatchKeySet, self, spacing, dim, edge_order); |
| 2303 | } |
| 2304 | |
| 2305 | // aten::gradient.array(Tensor self, *, int[] dim, int edge_order=1) -> Tensor[] |
| 2306 | inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order=1) { |
| 2307 | return at::_ops::gradient_array::redispatch(dispatchKeySet, self, dim, edge_order); |
| 2308 | } |
| 2309 | |
| 2310 | // aten::gradient.scalarrayint(Tensor self, *, Scalar[] spacing, int? dim=None, int edge_order=1) -> Tensor[] |
| 2311 | inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, c10::optional<int64_t> dim=c10::nullopt, int64_t edge_order=1) { |
| 2312 | return at::_ops::gradient_scalarrayint::redispatch(dispatchKeySet, self, spacing, dim, edge_order); |
| 2313 | } |
| 2314 | |
| 2315 | // aten::gradient.scalarrayarray(Tensor self, *, Scalar[] spacing, int[] dim, int edge_order=1) -> Tensor[] |
| 2316 | inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, at::IntArrayRef dim, int64_t edge_order=1) { |
| 2317 | return at::_ops::gradient_scalarrayarray::redispatch(dispatchKeySet, self, spacing, dim, edge_order); |
| 2318 | } |
| 2319 | |
| 2320 | // aten::gradient.tensorarrayint(Tensor self, *, Tensor[] spacing, int? dim=None, int edge_order=1) -> Tensor[] |
| 2321 | inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, c10::optional<int64_t> dim=c10::nullopt, int64_t edge_order=1) { |
| 2322 | return at::_ops::gradient_tensorarrayint::redispatch(dispatchKeySet, self, spacing, dim, edge_order); |
| 2323 | } |
| 2324 | |
| 2325 | // aten::gradient.tensorarray(Tensor self, *, Tensor[] spacing, int[] dim, int edge_order=1) -> Tensor[] |
| 2326 | inline ::std::vector<at::Tensor> gradient(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order=1) { |
| 2327 | return at::_ops::gradient_tensorarray::redispatch(dispatchKeySet, self, spacing, dim, edge_order); |
| 2328 | } |
| 2329 | |
| 2330 | // aten::div.Tensor(Tensor self, Tensor other) -> Tensor |
| 2331 | inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 2332 | return at::_ops::div_Tensor::redispatch(dispatchKeySet, self, other); |
| 2333 | } |
| 2334 | |
| 2335 | // aten::div_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2336 | inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 2337 | return at::_ops::div__Tensor::redispatch(dispatchKeySet, self, other); |
| 2338 | } |
| 2339 | |
| 2340 | // aten::div.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2341 | inline at::Tensor & div_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 2342 | return at::_ops::div_out::redispatch(dispatchKeySet, self, other, out); |
| 2343 | } |
| 2344 | |
| 2345 | // aten::div.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2346 | inline at::Tensor & div_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2347 | return at::_ops::div_out::redispatch(dispatchKeySet, self, other, out); |
| 2348 | } |
| 2349 | |
| 2350 | // aten::div.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> Tensor |
| 2351 | inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2352 | return at::_ops::div_Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2353 | } |
| 2354 | |
| 2355 | // aten::div_.Tensor_mode(Tensor(a!) self, Tensor other, *, str? rounding_mode) -> Tensor(a!) |
| 2356 | inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2357 | return at::_ops::div__Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2358 | } |
| 2359 | |
| 2360 | // aten::div.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!) |
| 2361 | inline at::Tensor & div_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2362 | return at::_ops::div_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out); |
| 2363 | } |
| 2364 | |
| 2365 | // aten::div.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!) |
| 2366 | inline at::Tensor & div_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode, at::Tensor & out) { |
| 2367 | return at::_ops::div_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out); |
| 2368 | } |
| 2369 | |
| 2370 | // aten::div.Scalar(Tensor self, Scalar other) -> Tensor |
| 2371 | inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 2372 | return at::_ops::div_Scalar::redispatch(dispatchKeySet, self, other); |
| 2373 | } |
| 2374 | |
| 2375 | // aten::div_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2376 | inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 2377 | return at::_ops::div__Scalar::redispatch(dispatchKeySet, self, other); |
| 2378 | } |
| 2379 | |
| 2380 | // aten::div.Scalar_mode(Tensor self, Scalar other, *, str? rounding_mode) -> Tensor |
| 2381 | inline at::Tensor div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 2382 | return at::_ops::div_Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2383 | } |
| 2384 | |
| 2385 | // aten::div_.Scalar_mode(Tensor(a!) self, Scalar other, *, str? rounding_mode) -> Tensor(a!) |
| 2386 | inline at::Tensor & div_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 2387 | return at::_ops::div__Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2388 | } |
| 2389 | |
| 2390 | // aten::divide.Tensor(Tensor self, Tensor other) -> Tensor |
| 2391 | inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 2392 | return at::_ops::divide_Tensor::redispatch(dispatchKeySet, self, other); |
| 2393 | } |
| 2394 | |
| 2395 | // aten::divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2396 | inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 2397 | return at::_ops::divide__Tensor::redispatch(dispatchKeySet, self, other); |
| 2398 | } |
| 2399 | |
| 2400 | // aten::divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2401 | inline at::Tensor & divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 2402 | return at::_ops::divide_out::redispatch(dispatchKeySet, self, other, out); |
| 2403 | } |
| 2404 | |
| 2405 | // aten::divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2406 | inline at::Tensor & divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2407 | return at::_ops::divide_out::redispatch(dispatchKeySet, self, other, out); |
| 2408 | } |
| 2409 | |
| 2410 | // aten::divide.Scalar(Tensor self, Scalar other) -> Tensor |
| 2411 | inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 2412 | return at::_ops::divide_Scalar::redispatch(dispatchKeySet, self, other); |
| 2413 | } |
| 2414 | |
| 2415 | // aten::divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2416 | inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 2417 | return at::_ops::divide__Scalar::redispatch(dispatchKeySet, self, other); |
| 2418 | } |
| 2419 | |
| 2420 | // aten::divide.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> Tensor |
| 2421 | inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2422 | return at::_ops::divide_Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2423 | } |
| 2424 | |
| 2425 | // aten::divide_.Tensor_mode(Tensor(a!) self, Tensor other, *, str? rounding_mode) -> Tensor(a!) |
| 2426 | inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2427 | return at::_ops::divide__Tensor_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2428 | } |
| 2429 | |
| 2430 | // aten::divide.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!) |
| 2431 | inline at::Tensor & divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2432 | return at::_ops::divide_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out); |
| 2433 | } |
| 2434 | |
| 2435 | // aten::divide.out_mode(Tensor self, Tensor other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!) |
| 2436 | inline at::Tensor & divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode, at::Tensor & out) { |
| 2437 | return at::_ops::divide_out_mode::redispatch(dispatchKeySet, self, other, rounding_mode, out); |
| 2438 | } |
| 2439 | |
| 2440 | // aten::divide.Scalar_mode(Tensor self, Scalar other, *, str? rounding_mode) -> Tensor |
| 2441 | inline at::Tensor divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 2442 | return at::_ops::divide_Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2443 | } |
| 2444 | |
| 2445 | // aten::divide_.Scalar_mode(Tensor(a!) self, Scalar other, *, str? rounding_mode) -> Tensor(a!) |
| 2446 | inline at::Tensor & divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 2447 | return at::_ops::divide__Scalar_mode::redispatch(dispatchKeySet, self, other, rounding_mode); |
| 2448 | } |
| 2449 | |
| 2450 | // aten::true_divide.Tensor(Tensor self, Tensor other) -> Tensor |
| 2451 | inline at::Tensor true_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 2452 | return at::_ops::true_divide_Tensor::redispatch(dispatchKeySet, self, other); |
| 2453 | } |
| 2454 | |
| 2455 | // aten::true_divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2456 | inline at::Tensor & true_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 2457 | return at::_ops::true_divide__Tensor::redispatch(dispatchKeySet, self, other); |
| 2458 | } |
| 2459 | |
| 2460 | // aten::true_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2461 | inline at::Tensor & true_divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 2462 | return at::_ops::true_divide_out::redispatch(dispatchKeySet, self, other, out); |
| 2463 | } |
| 2464 | |
| 2465 | // aten::true_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2466 | inline at::Tensor & true_divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2467 | return at::_ops::true_divide_out::redispatch(dispatchKeySet, self, other, out); |
| 2468 | } |
| 2469 | |
| 2470 | // aten::true_divide.Scalar(Tensor self, Scalar other) -> Tensor |
| 2471 | inline at::Tensor true_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 2472 | return at::_ops::true_divide_Scalar::redispatch(dispatchKeySet, self, other); |
| 2473 | } |
| 2474 | |
| 2475 | // aten::true_divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2476 | inline at::Tensor & true_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 2477 | return at::_ops::true_divide__Scalar::redispatch(dispatchKeySet, self, other); |
| 2478 | } |
| 2479 | |
| 2480 | // aten::dot(Tensor self, Tensor tensor) -> Tensor |
| 2481 | inline at::Tensor dot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor) { |
| 2482 | return at::_ops::dot::redispatch(dispatchKeySet, self, tensor); |
| 2483 | } |
| 2484 | |
| 2485 | // aten::dot.out(Tensor self, Tensor tensor, *, Tensor(a!) out) -> Tensor(a!) |
| 2486 | inline at::Tensor & dot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor) { |
| 2487 | return at::_ops::dot_out::redispatch(dispatchKeySet, self, tensor, out); |
| 2488 | } |
| 2489 | |
| 2490 | // aten::dot.out(Tensor self, Tensor tensor, *, Tensor(a!) out) -> Tensor(a!) |
| 2491 | inline at::Tensor & dot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor, at::Tensor & out) { |
| 2492 | return at::_ops::dot_out::redispatch(dispatchKeySet, self, tensor, out); |
| 2493 | } |
| 2494 | |
| 2495 | // aten::vdot(Tensor self, Tensor other) -> Tensor |
| 2496 | inline at::Tensor vdot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 2497 | return at::_ops::vdot::redispatch(dispatchKeySet, self, other); |
| 2498 | } |
| 2499 | |
| 2500 | // aten::vdot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2501 | inline at::Tensor & vdot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 2502 | return at::_ops::vdot_out::redispatch(dispatchKeySet, self, other, out); |
| 2503 | } |
| 2504 | |
| 2505 | // aten::vdot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 2506 | inline at::Tensor & vdot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2507 | return at::_ops::vdot_out::redispatch(dispatchKeySet, self, other, out); |
| 2508 | } |
| 2509 | |
| 2510 | // aten::einsum(str equation, Tensor[] tensors, *, int[]? path=None) -> Tensor |
| 2511 | inline at::Tensor einsum(c10::DispatchKeySet dispatchKeySet, c10::string_view equation, at::TensorList tensors, at::OptionalIntArrayRef path=c10::nullopt) { |
| 2512 | return at::_ops::einsum::redispatch(dispatchKeySet, equation, tensors, path); |
| 2513 | } |
| 2514 | |
| 2515 | // aten::embedding(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> Tensor |
| 2516 | inline at::Tensor embedding(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, int64_t padding_idx=-1, bool scale_grad_by_freq=false, bool sparse=false) { |
| 2517 | return at::_ops::embedding::redispatch(dispatchKeySet, weight, indices, padding_idx, scale_grad_by_freq, sparse); |
| 2518 | } |
| 2519 | |
| 2520 | // aten::embedding(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False) -> Tensor |
| 2521 | inline at::Tensor embedding_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, c10::SymInt padding_idx=-1, bool scale_grad_by_freq=false, bool sparse=false) { |
| 2522 | return at::_ops::embedding::redispatch(dispatchKeySet, weight, indices, padding_idx, scale_grad_by_freq, sparse); |
| 2523 | } |
| 2524 | |
| 2525 | // aten::embedding_backward(Tensor grad, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, bool sparse) -> Tensor |
| 2526 | inline at::Tensor embedding_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq, bool sparse) { |
| 2527 | return at::_ops::embedding_backward::redispatch(dispatchKeySet, grad, indices, num_weights, padding_idx, scale_grad_by_freq, sparse); |
| 2528 | } |
| 2529 | |
| 2530 | // aten::embedding_backward(Tensor grad, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, bool sparse) -> Tensor |
| 2531 | inline at::Tensor embedding_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse) { |
| 2532 | return at::_ops::embedding_backward::redispatch(dispatchKeySet, grad, indices, num_weights, padding_idx, scale_grad_by_freq, sparse); |
| 2533 | } |
| 2534 | |
| 2535 | // aten::embedding_dense_backward(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq) -> Tensor |
| 2536 | inline at::Tensor embedding_dense_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) { |
| 2537 | return at::_ops::embedding_dense_backward::redispatch(dispatchKeySet, grad_output, indices, num_weights, padding_idx, scale_grad_by_freq); |
| 2538 | } |
| 2539 | |
| 2540 | // aten::embedding_dense_backward(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq) -> Tensor |
| 2541 | inline at::Tensor embedding_dense_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq) { |
| 2542 | return at::_ops::embedding_dense_backward::redispatch(dispatchKeySet, grad_output, indices, num_weights, padding_idx, scale_grad_by_freq); |
| 2543 | } |
| 2544 | |
| 2545 | // aten::embedding_renorm_(Tensor(a!) self, Tensor indices, float max_norm, float norm_type) -> Tensor(a!) |
| 2546 | inline at::Tensor & embedding_renorm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type) { |
| 2547 | return at::_ops::embedding_renorm_::redispatch(dispatchKeySet, self, indices, max_norm, norm_type); |
| 2548 | } |
| 2549 | |
| 2550 | // aten::embedding_sparse_backward(Tensor grad, Tensor indices, int num_weights, int padding_idx, bool scale_grad_by_freq) -> Tensor |
| 2551 | inline at::Tensor embedding_sparse_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) { |
| 2552 | return at::_ops::embedding_sparse_backward::redispatch(dispatchKeySet, grad, indices, num_weights, padding_idx, scale_grad_by_freq); |
| 2553 | } |
| 2554 | |
| 2555 | // aten::_embedding_bag_forward_only(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1) -> (Tensor, Tensor, Tensor, Tensor) |
| 2556 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _embedding_bag_forward_only(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1) { |
| 2557 | return at::_ops::_embedding_bag_forward_only::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx); |
| 2558 | } |
| 2559 | |
| 2560 | // aten::_rowwise_prune(Tensor weight, Tensor mask, ScalarType compressed_indices_dtype) -> (Tensor, Tensor) |
| 2561 | inline ::std::tuple<at::Tensor,at::Tensor> _rowwise_prune(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & mask, at::ScalarType compressed_indices_dtype) { |
| 2562 | return at::_ops::_rowwise_prune::redispatch(dispatchKeySet, weight, mask, compressed_indices_dtype); |
| 2563 | } |
| 2564 | |
| 2565 | // aten::row_stack(Tensor[] tensors) -> Tensor |
| 2566 | inline at::Tensor row_stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 2567 | return at::_ops::row_stack::redispatch(dispatchKeySet, tensors); |
| 2568 | } |
| 2569 | |
| 2570 | // aten::row_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 2571 | inline at::Tensor & row_stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) { |
| 2572 | return at::_ops::row_stack_out::redispatch(dispatchKeySet, tensors, out); |
| 2573 | } |
| 2574 | |
| 2575 | // aten::row_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 2576 | inline at::Tensor & row_stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) { |
| 2577 | return at::_ops::row_stack_out::redispatch(dispatchKeySet, tensors, out); |
| 2578 | } |
| 2579 | |
| 2580 | // aten::embedding_bag(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False) -> (Tensor, Tensor, Tensor, Tensor) |
| 2581 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> embedding_bag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false) { |
| 2582 | return at::_ops::embedding_bag::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset); |
| 2583 | } |
| 2584 | |
| 2585 | // aten::embedding_bag.padding_idx(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq, int mode, bool sparse, Tensor? per_sample_weights, bool include_last_offset, int? padding_idx) -> (Tensor, Tensor, Tensor, Tensor) |
| 2586 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> embedding_bag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq, int64_t mode, bool sparse, const c10::optional<at::Tensor> & per_sample_weights, bool include_last_offset, c10::optional<int64_t> padding_idx) { |
| 2587 | return at::_ops::embedding_bag_padding_idx::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx); |
| 2588 | } |
| 2589 | |
| 2590 | // aten::_embedding_bag(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1) -> (Tensor, Tensor, Tensor, Tensor) |
| 2591 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _embedding_bag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1) { |
| 2592 | return at::_ops::_embedding_bag::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx); |
| 2593 | } |
| 2594 | |
| 2595 | // aten::_embedding_bag_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, bool sparse, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor |
| 2596 | inline at::Tensor _embedding_bag_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, bool sparse, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 2597 | return at::_ops::_embedding_bag_backward::redispatch(dispatchKeySet, grad, indices, offsets, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, sparse, per_sample_weights, padding_idx); |
| 2598 | } |
| 2599 | |
| 2600 | // aten::_embedding_bag_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, bool sparse, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor |
| 2601 | inline at::Tensor _embedding_bag_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, c10::SymInt num_weights, bool scale_grad_by_freq, int64_t mode, bool sparse, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 2602 | return at::_ops::_embedding_bag_backward::redispatch(dispatchKeySet, grad, indices, offsets, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, sparse, per_sample_weights, padding_idx); |
| 2603 | } |
| 2604 | |
| 2605 | // aten::_embedding_bag_sparse_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor |
| 2606 | inline at::Tensor _embedding_bag_sparse_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, const at::Tensor & bag_size, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 2607 | return at::_ops::_embedding_bag_sparse_backward::redispatch(dispatchKeySet, grad, indices, offsets, offset2bag, bag_size, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx); |
| 2608 | } |
| 2609 | |
| 2610 | // aten::_embedding_bag_sparse_backward(Tensor grad, Tensor indices, Tensor offsets, Tensor offset2bag, Tensor bag_size, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor |
| 2611 | inline at::Tensor _embedding_bag_sparse_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, const at::Tensor & bag_size, c10::SymInt num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 2612 | return at::_ops::_embedding_bag_sparse_backward::redispatch(dispatchKeySet, grad, indices, offsets, offset2bag, bag_size, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx); |
| 2613 | } |
| 2614 | |
| 2615 | // aten::_embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor |
| 2616 | inline at::Tensor _embedding_bag_dense_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 2617 | return at::_ops::_embedding_bag_dense_backward::redispatch(dispatchKeySet, grad, indices, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx); |
| 2618 | } |
| 2619 | |
| 2620 | // aten::_embedding_bag_dense_backward(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1) -> Tensor |
| 2621 | inline at::Tensor _embedding_bag_dense_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, c10::SymInt num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 2622 | return at::_ops::_embedding_bag_dense_backward::redispatch(dispatchKeySet, grad, indices, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx); |
| 2623 | } |
| 2624 | |
| 2625 | // aten::_embedding_bag_per_sample_weights_backward(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, int mode, int padding_idx=-1) -> Tensor |
| 2626 | inline at::Tensor _embedding_bag_per_sample_weights_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, int64_t mode, int64_t padding_idx=-1) { |
| 2627 | return at::_ops::_embedding_bag_per_sample_weights_backward::redispatch(dispatchKeySet, grad, weight, indices, offsets, offset2bag, mode, padding_idx); |
| 2628 | } |
| 2629 | |
| 2630 | // aten::empty.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2631 | inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2632 | return at::_ops::empty_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 2633 | } |
| 2634 | |
| 2635 | // aten::empty.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2636 | inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 2637 | return at::_ops::empty_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory, memory_format); |
| 2638 | } |
| 2639 | |
| 2640 | // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2641 | inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2642 | return at::_ops::empty_memory_format::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 2643 | } |
| 2644 | |
| 2645 | // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2646 | inline at::Tensor empty(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 2647 | return at::_ops::empty_memory_format::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory, memory_format); |
| 2648 | } |
| 2649 | |
| 2650 | // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2651 | inline at::Tensor empty_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2652 | return at::_ops::empty_memory_format::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 2653 | } |
| 2654 | |
| 2655 | // aten::empty.memory_format(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2656 | inline at::Tensor empty_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 2657 | return at::_ops::empty_memory_format::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory, memory_format); |
| 2658 | } |
| 2659 | |
| 2660 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2661 | inline at::Tensor new_empty(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::TensorOptions options={}) { |
| 2662 | return at::_ops::new_empty::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2663 | } |
| 2664 | |
| 2665 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2666 | inline at::Tensor new_empty(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2667 | return at::_ops::new_empty::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 2668 | } |
| 2669 | |
| 2670 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2671 | inline at::Tensor new_empty_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 2672 | return at::_ops::new_empty::redispatch(dispatchKeySet, self, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2673 | } |
| 2674 | |
| 2675 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2676 | inline at::Tensor new_empty_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2677 | return at::_ops::new_empty::redispatch(dispatchKeySet, self, size, dtype, layout, device, pin_memory); |
| 2678 | } |
| 2679 | |
| 2680 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2681 | inline at::Tensor new_empty_strided(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) { |
| 2682 | return at::_ops::new_empty_strided::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2683 | } |
| 2684 | |
| 2685 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2686 | inline at::Tensor new_empty_strided(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2687 | return at::_ops::new_empty_strided::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), dtype, layout, device, pin_memory); |
| 2688 | } |
| 2689 | |
| 2690 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2691 | inline at::Tensor new_empty_strided_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::TensorOptions options={}) { |
| 2692 | return at::_ops::new_empty_strided::redispatch(dispatchKeySet, self, size, stride, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2693 | } |
| 2694 | |
| 2695 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2696 | inline at::Tensor new_empty_strided_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2697 | return at::_ops::new_empty_strided::redispatch(dispatchKeySet, self, size, stride, dtype, layout, device, pin_memory); |
| 2698 | } |
| 2699 | |
| 2700 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2701 | inline at::Tensor new_full(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) { |
| 2702 | return at::_ops::new_full::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2703 | } |
| 2704 | |
| 2705 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2706 | inline at::Tensor new_full(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2707 | return at::_ops::new_full::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), fill_value, dtype, layout, device, pin_memory); |
| 2708 | } |
| 2709 | |
| 2710 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2711 | inline at::Tensor new_full_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) { |
| 2712 | return at::_ops::new_full::redispatch(dispatchKeySet, self, size, fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2713 | } |
| 2714 | |
| 2715 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2716 | inline at::Tensor new_full_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2717 | return at::_ops::new_full::redispatch(dispatchKeySet, self, size, fill_value, dtype, layout, device, pin_memory); |
| 2718 | } |
| 2719 | |
| 2720 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2721 | inline at::Tensor new_zeros(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::TensorOptions options={}) { |
| 2722 | return at::_ops::new_zeros::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2723 | } |
| 2724 | |
| 2725 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2726 | inline at::Tensor new_zeros(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2727 | return at::_ops::new_zeros::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 2728 | } |
| 2729 | |
| 2730 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2731 | inline at::Tensor new_zeros_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 2732 | return at::_ops::new_zeros::redispatch(dispatchKeySet, self, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2733 | } |
| 2734 | |
| 2735 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2736 | inline at::Tensor new_zeros_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2737 | return at::_ops::new_zeros::redispatch(dispatchKeySet, self, size, dtype, layout, device, pin_memory); |
| 2738 | } |
| 2739 | |
| 2740 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2741 | inline at::Tensor new_ones(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::TensorOptions options={}) { |
| 2742 | return at::_ops::new_ones::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2743 | } |
| 2744 | |
| 2745 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2746 | inline at::Tensor new_ones(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2747 | return at::_ops::new_ones::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 2748 | } |
| 2749 | |
| 2750 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2751 | inline at::Tensor new_ones_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 2752 | return at::_ops::new_ones::redispatch(dispatchKeySet, self, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2753 | } |
| 2754 | |
| 2755 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2756 | inline at::Tensor new_ones_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2757 | return at::_ops::new_ones::redispatch(dispatchKeySet, self, size, dtype, layout, device, pin_memory); |
| 2758 | } |
| 2759 | |
| 2760 | // aten::_empty_affine_quantized(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor |
| 2761 | inline at::Tensor _empty_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}, double scale=1, int64_t zero_point=0, c10::optional<at::MemoryFormat> memory_format=MemoryFormat::Contiguous) { |
| 2762 | return at::_ops::_empty_affine_quantized::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), scale, zero_point, c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 2763 | } |
| 2764 | |
| 2765 | // aten::_empty_affine_quantized(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format) -> Tensor |
| 2766 | inline at::Tensor _empty_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, double scale, int64_t zero_point, c10::optional<at::MemoryFormat> memory_format) { |
| 2767 | return at::_ops::_empty_affine_quantized::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory, scale, zero_point, memory_format); |
| 2768 | } |
| 2769 | |
| 2770 | // aten::_empty_per_channel_affine_quantized(int[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor |
| 2771 | inline at::Tensor _empty_per_channel_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=MemoryFormat::Contiguous) { |
| 2772 | return at::_ops::_empty_per_channel_affine_quantized::redispatch(dispatchKeySet, size, scales, zero_points, axis, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 2773 | } |
| 2774 | |
| 2775 | // aten::_empty_per_channel_affine_quantized(int[] size, *, Tensor scales, Tensor zero_points, int axis, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=contiguous_format) -> Tensor |
| 2776 | inline at::Tensor _empty_per_channel_affine_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 2777 | return at::_ops::_empty_per_channel_affine_quantized::redispatch(dispatchKeySet, size, scales, zero_points, axis, dtype, layout, device, pin_memory, memory_format); |
| 2778 | } |
| 2779 | |
| 2780 | // aten::resize_(Tensor(a!) self, SymInt[] size, *, MemoryFormat? memory_format=None) -> Tensor(a!) |
| 2781 | inline const at::Tensor & resize_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2782 | return at::_ops::resize_::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), memory_format); |
| 2783 | } |
| 2784 | |
| 2785 | // aten::resize_(Tensor(a!) self, SymInt[] size, *, MemoryFormat? memory_format=None) -> Tensor(a!) |
| 2786 | inline const at::Tensor & resize__symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2787 | return at::_ops::resize_::redispatch(dispatchKeySet, self, size, memory_format); |
| 2788 | } |
| 2789 | |
| 2790 | // aten::_resize_output_(Tensor(a!) self, int[] size, Device device) -> Tensor(a!) |
| 2791 | inline const at::Tensor & _resize_output_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Device device) { |
| 2792 | return at::_ops::_resize_output_::redispatch(dispatchKeySet, self, size, device); |
| 2793 | } |
| 2794 | |
| 2795 | // aten::empty_quantized(int[] size, Tensor qtensor, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2796 | inline at::Tensor empty_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & qtensor, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2797 | return at::_ops::empty_quantized::redispatch(dispatchKeySet, size, qtensor, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 2798 | } |
| 2799 | |
| 2800 | // aten::empty_quantized(int[] size, Tensor qtensor, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2801 | inline at::Tensor empty_quantized(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & qtensor, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 2802 | return at::_ops::empty_quantized::redispatch(dispatchKeySet, size, qtensor, dtype, layout, device, pin_memory, memory_format); |
| 2803 | } |
| 2804 | |
| 2805 | // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 2806 | inline at::Tensor & empty_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2807 | return at::_ops::empty_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), memory_format, out); |
| 2808 | } |
| 2809 | |
| 2810 | // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 2811 | inline at::Tensor & empty_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 2812 | return at::_ops::empty_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), memory_format, out); |
| 2813 | } |
| 2814 | |
| 2815 | // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 2816 | inline at::Tensor & empty_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2817 | return at::_ops::empty_out::redispatch(dispatchKeySet, size, memory_format, out); |
| 2818 | } |
| 2819 | |
| 2820 | // aten::empty.out(SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 2821 | inline at::Tensor & empty_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 2822 | return at::_ops::empty_out::redispatch(dispatchKeySet, size, memory_format, out); |
| 2823 | } |
| 2824 | |
| 2825 | // aten::empty_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2826 | inline at::Tensor empty_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 2827 | return at::_ops::empty_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 2828 | } |
| 2829 | |
| 2830 | // aten::empty_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 2831 | inline at::Tensor empty_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 2832 | return at::_ops::empty_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format); |
| 2833 | } |
| 2834 | |
| 2835 | // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2836 | inline at::Tensor empty_strided(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) { |
| 2837 | return at::_ops::empty_strided::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2838 | } |
| 2839 | |
| 2840 | // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2841 | inline at::Tensor empty_strided(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2842 | return at::_ops::empty_strided::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), dtype, layout, device, pin_memory); |
| 2843 | } |
| 2844 | |
| 2845 | // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2846 | inline at::Tensor empty_strided_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::TensorOptions options={}) { |
| 2847 | return at::_ops::empty_strided::redispatch(dispatchKeySet, size, stride, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2848 | } |
| 2849 | |
| 2850 | // aten::empty_strided(SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2851 | inline at::Tensor empty_strided_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2852 | return at::_ops::empty_strided::redispatch(dispatchKeySet, size, stride, dtype, layout, device, pin_memory); |
| 2853 | } |
| 2854 | |
| 2855 | // aten::erf(Tensor self) -> Tensor |
| 2856 | inline at::Tensor erf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 2857 | return at::_ops::erf::redispatch(dispatchKeySet, self); |
| 2858 | } |
| 2859 | |
| 2860 | // aten::erf_(Tensor(a!) self) -> Tensor(a!) |
| 2861 | inline at::Tensor & erf_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 2862 | return at::_ops::erf_::redispatch(dispatchKeySet, self); |
| 2863 | } |
| 2864 | |
| 2865 | // aten::erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2866 | inline at::Tensor & erf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 2867 | return at::_ops::erf_out::redispatch(dispatchKeySet, self, out); |
| 2868 | } |
| 2869 | |
| 2870 | // aten::erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2871 | inline at::Tensor & erf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 2872 | return at::_ops::erf_out::redispatch(dispatchKeySet, self, out); |
| 2873 | } |
| 2874 | |
| 2875 | // aten::erfc(Tensor self) -> Tensor |
| 2876 | inline at::Tensor erfc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 2877 | return at::_ops::erfc::redispatch(dispatchKeySet, self); |
| 2878 | } |
| 2879 | |
| 2880 | // aten::erfc_(Tensor(a!) self) -> Tensor(a!) |
| 2881 | inline at::Tensor & erfc_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 2882 | return at::_ops::erfc_::redispatch(dispatchKeySet, self); |
| 2883 | } |
| 2884 | |
| 2885 | // aten::erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2886 | inline at::Tensor & erfc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 2887 | return at::_ops::erfc_out::redispatch(dispatchKeySet, self, out); |
| 2888 | } |
| 2889 | |
| 2890 | // aten::erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2891 | inline at::Tensor & erfc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 2892 | return at::_ops::erfc_out::redispatch(dispatchKeySet, self, out); |
| 2893 | } |
| 2894 | |
| 2895 | // aten::exp(Tensor self) -> Tensor |
| 2896 | inline at::Tensor exp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 2897 | return at::_ops::exp::redispatch(dispatchKeySet, self); |
| 2898 | } |
| 2899 | |
| 2900 | // aten::exp_(Tensor(a!) self) -> Tensor(a!) |
| 2901 | inline at::Tensor & exp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 2902 | return at::_ops::exp_::redispatch(dispatchKeySet, self); |
| 2903 | } |
| 2904 | |
| 2905 | // aten::exp.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2906 | inline at::Tensor & exp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 2907 | return at::_ops::exp_out::redispatch(dispatchKeySet, self, out); |
| 2908 | } |
| 2909 | |
| 2910 | // aten::exp.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2911 | inline at::Tensor & exp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 2912 | return at::_ops::exp_out::redispatch(dispatchKeySet, self, out); |
| 2913 | } |
| 2914 | |
| 2915 | // aten::exp2(Tensor self) -> Tensor |
| 2916 | inline at::Tensor exp2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 2917 | return at::_ops::exp2::redispatch(dispatchKeySet, self); |
| 2918 | } |
| 2919 | |
| 2920 | // aten::exp2_(Tensor(a!) self) -> Tensor(a!) |
| 2921 | inline at::Tensor & exp2_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 2922 | return at::_ops::exp2_::redispatch(dispatchKeySet, self); |
| 2923 | } |
| 2924 | |
| 2925 | // aten::exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2926 | inline at::Tensor & exp2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 2927 | return at::_ops::exp2_out::redispatch(dispatchKeySet, self, out); |
| 2928 | } |
| 2929 | |
| 2930 | // aten::exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2931 | inline at::Tensor & exp2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 2932 | return at::_ops::exp2_out::redispatch(dispatchKeySet, self, out); |
| 2933 | } |
| 2934 | |
| 2935 | // aten::expm1(Tensor self) -> Tensor |
| 2936 | inline at::Tensor expm1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 2937 | return at::_ops::expm1::redispatch(dispatchKeySet, self); |
| 2938 | } |
| 2939 | |
| 2940 | // aten::expm1_(Tensor(a!) self) -> Tensor(a!) |
| 2941 | inline at::Tensor & expm1_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 2942 | return at::_ops::expm1_::redispatch(dispatchKeySet, self); |
| 2943 | } |
| 2944 | |
| 2945 | // aten::expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2946 | inline at::Tensor & expm1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 2947 | return at::_ops::expm1_out::redispatch(dispatchKeySet, self, out); |
| 2948 | } |
| 2949 | |
| 2950 | // aten::expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 2951 | inline at::Tensor & expm1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 2952 | return at::_ops::expm1_out::redispatch(dispatchKeySet, self, out); |
| 2953 | } |
| 2954 | |
| 2955 | // aten::expand(Tensor(a) self, SymInt[] size, *, bool implicit=False) -> Tensor(a) |
| 2956 | inline at::Tensor expand(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, bool implicit=false) { |
| 2957 | return at::_ops::expand::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), implicit); |
| 2958 | } |
| 2959 | |
| 2960 | // aten::expand(Tensor(a) self, SymInt[] size, *, bool implicit=False) -> Tensor(a) |
| 2961 | inline at::Tensor expand_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, bool implicit=false) { |
| 2962 | return at::_ops::expand::redispatch(dispatchKeySet, self, size, implicit); |
| 2963 | } |
| 2964 | |
| 2965 | // aten::expand_as(Tensor(a) self, Tensor other) -> Tensor(a) |
| 2966 | inline at::Tensor expand_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 2967 | return at::_ops::expand_as::redispatch(dispatchKeySet, self, other); |
| 2968 | } |
| 2969 | |
| 2970 | // aten::eye(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2971 | inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, at::TensorOptions options={}) { |
| 2972 | return at::_ops::eye::redispatch(dispatchKeySet, n, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2973 | } |
| 2974 | |
| 2975 | // aten::eye(int n, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2976 | inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2977 | return at::_ops::eye::redispatch(dispatchKeySet, n, dtype, layout, device, pin_memory); |
| 2978 | } |
| 2979 | |
| 2980 | // aten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2981 | inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, int64_t m, at::TensorOptions options={}) { |
| 2982 | return at::_ops::eye_m::redispatch(dispatchKeySet, n, m, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2983 | } |
| 2984 | |
| 2985 | // aten::eye.m(int n, int m, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2986 | inline at::Tensor eye(c10::DispatchKeySet dispatchKeySet, int64_t n, int64_t m, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 2987 | return at::_ops::eye_m::redispatch(dispatchKeySet, n, m, dtype, layout, device, pin_memory); |
| 2988 | } |
| 2989 | |
| 2990 | // aten::eye.out(int n, *, Tensor(a!) out) -> Tensor(a!) |
| 2991 | inline at::Tensor & eye_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n) { |
| 2992 | return at::_ops::eye_out::redispatch(dispatchKeySet, n, out); |
| 2993 | } |
| 2994 | |
| 2995 | // aten::eye.out(int n, *, Tensor(a!) out) -> Tensor(a!) |
| 2996 | inline at::Tensor & eye_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, at::Tensor & out) { |
| 2997 | return at::_ops::eye_out::redispatch(dispatchKeySet, n, out); |
| 2998 | } |
| 2999 | |
| 3000 | // aten::eye.m_out(int n, int m, *, Tensor(a!) out) -> Tensor(a!) |
| 3001 | inline at::Tensor & eye_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, int64_t m) { |
| 3002 | return at::_ops::eye_m_out::redispatch(dispatchKeySet, n, m, out); |
| 3003 | } |
| 3004 | |
| 3005 | // aten::eye.m_out(int n, int m, *, Tensor(a!) out) -> Tensor(a!) |
| 3006 | inline at::Tensor & eye_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, int64_t m, at::Tensor & out) { |
| 3007 | return at::_ops::eye_m_out::redispatch(dispatchKeySet, n, m, out); |
| 3008 | } |
| 3009 | |
| 3010 | // aten::flatten.using_ints(Tensor(a) self, int start_dim=0, int end_dim=-1) -> Tensor(a) |
| 3011 | inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t start_dim=0, int64_t end_dim=-1) { |
| 3012 | return at::_ops::flatten_using_ints::redispatch(dispatchKeySet, self, start_dim, end_dim); |
| 3013 | } |
| 3014 | |
| 3015 | // aten::flatten.named_out_dim(Tensor(a) self, int start_dim, int end_dim, Dimname out_dim) -> Tensor(a) |
| 3016 | inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t start_dim, int64_t end_dim, at::Dimname out_dim) { |
| 3017 | return at::_ops::flatten_named_out_dim::redispatch(dispatchKeySet, self, start_dim, end_dim, out_dim); |
| 3018 | } |
| 3019 | |
| 3020 | // aten::flatten.using_names(Tensor(a) self, Dimname start_dim, Dimname end_dim, Dimname out_dim) -> Tensor(a) |
| 3021 | inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim) { |
| 3022 | return at::_ops::flatten_using_names::redispatch(dispatchKeySet, self, start_dim, end_dim, out_dim); |
| 3023 | } |
| 3024 | |
| 3025 | // aten::flatten.DimnameList(Tensor(a) self, Dimname[] dims, Dimname out_dim) -> Tensor(a) |
| 3026 | inline at::Tensor flatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dims, at::Dimname out_dim) { |
| 3027 | return at::_ops::flatten_DimnameList::redispatch(dispatchKeySet, self, dims, out_dim); |
| 3028 | } |
| 3029 | |
| 3030 | // aten::unflatten.int(Tensor(a) self, int dim, int[] sizes) -> Tensor(a) |
| 3031 | inline at::Tensor unflatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::IntArrayRef sizes) { |
| 3032 | return at::_ops::unflatten_int::redispatch(dispatchKeySet, self, dim, sizes); |
| 3033 | } |
| 3034 | |
| 3035 | // aten::unflatten.Dimname(Tensor(a) self, Dimname dim, int[] sizes, Dimname[] names) -> Tensor(a) |
| 3036 | inline at::Tensor unflatten(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names) { |
| 3037 | return at::_ops::unflatten_Dimname::redispatch(dispatchKeySet, self, dim, sizes, names); |
| 3038 | } |
| 3039 | |
| 3040 | // aten::fill.Scalar(Tensor self, Scalar value) -> Tensor |
| 3041 | inline at::Tensor fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & value) { |
| 3042 | return at::_ops::fill_Scalar::redispatch(dispatchKeySet, self, value); |
| 3043 | } |
| 3044 | |
| 3045 | // aten::fill.Tensor(Tensor self, Tensor value) -> Tensor |
| 3046 | inline at::Tensor fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & value) { |
| 3047 | return at::_ops::fill_Tensor::redispatch(dispatchKeySet, self, value); |
| 3048 | } |
| 3049 | |
| 3050 | // aten::fill_.Scalar(Tensor(a!) self, Scalar value) -> Tensor(a!) |
| 3051 | inline at::Tensor & fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & value) { |
| 3052 | return at::_ops::fill__Scalar::redispatch(dispatchKeySet, self, value); |
| 3053 | } |
| 3054 | |
| 3055 | // aten::fill_.Tensor(Tensor(a!) self, Tensor value) -> Tensor(a!) |
| 3056 | inline at::Tensor & fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & value) { |
| 3057 | return at::_ops::fill__Tensor::redispatch(dispatchKeySet, self, value); |
| 3058 | } |
| 3059 | |
| 3060 | // aten::floor(Tensor self) -> Tensor |
| 3061 | inline at::Tensor floor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3062 | return at::_ops::floor::redispatch(dispatchKeySet, self); |
| 3063 | } |
| 3064 | |
| 3065 | // aten::floor_(Tensor(a!) self) -> Tensor(a!) |
| 3066 | inline at::Tensor & floor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 3067 | return at::_ops::floor_::redispatch(dispatchKeySet, self); |
| 3068 | } |
| 3069 | |
| 3070 | // aten::floor.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3071 | inline at::Tensor & floor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 3072 | return at::_ops::floor_out::redispatch(dispatchKeySet, self, out); |
| 3073 | } |
| 3074 | |
| 3075 | // aten::floor.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3076 | inline at::Tensor & floor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 3077 | return at::_ops::floor_out::redispatch(dispatchKeySet, self, out); |
| 3078 | } |
| 3079 | |
| 3080 | // aten::floor_divide(Tensor self, Tensor other) -> Tensor |
| 3081 | inline at::Tensor floor_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3082 | return at::_ops::floor_divide::redispatch(dispatchKeySet, self, other); |
| 3083 | } |
| 3084 | |
| 3085 | // aten::floor_divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 3086 | inline at::Tensor & floor_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 3087 | return at::_ops::floor_divide__Tensor::redispatch(dispatchKeySet, self, other); |
| 3088 | } |
| 3089 | |
| 3090 | // aten::floor_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3091 | inline at::Tensor & floor_divide_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 3092 | return at::_ops::floor_divide_out::redispatch(dispatchKeySet, self, other, out); |
| 3093 | } |
| 3094 | |
| 3095 | // aten::floor_divide.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3096 | inline at::Tensor & floor_divide_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 3097 | return at::_ops::floor_divide_out::redispatch(dispatchKeySet, self, other, out); |
| 3098 | } |
| 3099 | |
| 3100 | // aten::floor_divide.Scalar(Tensor self, Scalar other) -> Tensor |
| 3101 | inline at::Tensor floor_divide(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 3102 | return at::_ops::floor_divide_Scalar::redispatch(dispatchKeySet, self, other); |
| 3103 | } |
| 3104 | |
| 3105 | // aten::floor_divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 3106 | inline at::Tensor & floor_divide_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 3107 | return at::_ops::floor_divide__Scalar::redispatch(dispatchKeySet, self, other); |
| 3108 | } |
| 3109 | |
| 3110 | // aten::frac(Tensor self) -> Tensor |
| 3111 | inline at::Tensor frac(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3112 | return at::_ops::frac::redispatch(dispatchKeySet, self); |
| 3113 | } |
| 3114 | |
| 3115 | // aten::frac_(Tensor(a!) self) -> Tensor(a!) |
| 3116 | inline at::Tensor & frac_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 3117 | return at::_ops::frac_::redispatch(dispatchKeySet, self); |
| 3118 | } |
| 3119 | |
| 3120 | // aten::frac.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3121 | inline at::Tensor & frac_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 3122 | return at::_ops::frac_out::redispatch(dispatchKeySet, self, out); |
| 3123 | } |
| 3124 | |
| 3125 | // aten::frac.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3126 | inline at::Tensor & frac_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 3127 | return at::_ops::frac_out::redispatch(dispatchKeySet, self, out); |
| 3128 | } |
| 3129 | |
| 3130 | // aten::full.names(int[] size, Scalar fill_value, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3131 | inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 3132 | return at::_ops::full_names::redispatch(dispatchKeySet, size, fill_value, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3133 | } |
| 3134 | |
| 3135 | // aten::full.names(int[] size, Scalar fill_value, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3136 | inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3137 | return at::_ops::full_names::redispatch(dispatchKeySet, size, fill_value, names, dtype, layout, device, pin_memory); |
| 3138 | } |
| 3139 | |
| 3140 | // aten::full(SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3141 | inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) { |
| 3142 | return at::_ops::full::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3143 | } |
| 3144 | |
| 3145 | // aten::full(SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3146 | inline at::Tensor full(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3147 | return at::_ops::full::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), fill_value, dtype, layout, device, pin_memory); |
| 3148 | } |
| 3149 | |
| 3150 | // aten::full(SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3151 | inline at::Tensor full_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) { |
| 3152 | return at::_ops::full::redispatch(dispatchKeySet, size, fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3153 | } |
| 3154 | |
| 3155 | // aten::full(SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3156 | inline at::Tensor full_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3157 | return at::_ops::full::redispatch(dispatchKeySet, size, fill_value, dtype, layout, device, pin_memory); |
| 3158 | } |
| 3159 | |
| 3160 | // aten::full.out(SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 3161 | inline at::Tensor & full_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, const at::Scalar & fill_value) { |
| 3162 | return at::_ops::full_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), fill_value, out); |
| 3163 | } |
| 3164 | |
| 3165 | // aten::full.out(SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 3166 | inline at::Tensor & full_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) { |
| 3167 | return at::_ops::full_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), fill_value, out); |
| 3168 | } |
| 3169 | |
| 3170 | // aten::full.out(SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 3171 | inline at::Tensor & full_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, const at::Scalar & fill_value) { |
| 3172 | return at::_ops::full_out::redispatch(dispatchKeySet, size, fill_value, out); |
| 3173 | } |
| 3174 | |
| 3175 | // aten::full.out(SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 3176 | inline at::Tensor & full_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) { |
| 3177 | return at::_ops::full_out::redispatch(dispatchKeySet, size, fill_value, out); |
| 3178 | } |
| 3179 | |
| 3180 | // aten::full_like(Tensor self, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 3181 | inline at::Tensor full_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & fill_value, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 3182 | return at::_ops::full_like::redispatch(dispatchKeySet, self, fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 3183 | } |
| 3184 | |
| 3185 | // aten::full_like(Tensor self, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 3186 | inline at::Tensor full_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 3187 | return at::_ops::full_like::redispatch(dispatchKeySet, self, fill_value, dtype, layout, device, pin_memory, memory_format); |
| 3188 | } |
| 3189 | |
| 3190 | // aten::from_file(str filename, bool? shared=None, int? size=0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3191 | inline at::Tensor from_file(c10::DispatchKeySet dispatchKeySet, c10::string_view filename, c10::optional<bool> shared=c10::nullopt, c10::optional<int64_t> size=0, at::TensorOptions options={}) { |
| 3192 | return at::_ops::from_file::redispatch(dispatchKeySet, filename, shared, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3193 | } |
| 3194 | |
| 3195 | // aten::from_file(str filename, bool? shared=None, int? size=0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3196 | inline at::Tensor from_file(c10::DispatchKeySet dispatchKeySet, c10::string_view filename, c10::optional<bool> shared, c10::optional<int64_t> size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3197 | return at::_ops::from_file::redispatch(dispatchKeySet, filename, shared, size, dtype, layout, device, pin_memory); |
| 3198 | } |
| 3199 | |
| 3200 | // aten::gcd.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3201 | inline at::Tensor & gcd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 3202 | return at::_ops::gcd_out::redispatch(dispatchKeySet, self, other, out); |
| 3203 | } |
| 3204 | |
| 3205 | // aten::gcd.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3206 | inline at::Tensor & gcd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 3207 | return at::_ops::gcd_out::redispatch(dispatchKeySet, self, other, out); |
| 3208 | } |
| 3209 | |
| 3210 | // aten::gcd(Tensor self, Tensor other) -> Tensor |
| 3211 | inline at::Tensor gcd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3212 | return at::_ops::gcd::redispatch(dispatchKeySet, self, other); |
| 3213 | } |
| 3214 | |
| 3215 | // aten::gcd_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 3216 | inline at::Tensor & gcd_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 3217 | return at::_ops::gcd_::redispatch(dispatchKeySet, self, other); |
| 3218 | } |
| 3219 | |
| 3220 | // aten::lcm.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3221 | inline at::Tensor & lcm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 3222 | return at::_ops::lcm_out::redispatch(dispatchKeySet, self, other, out); |
| 3223 | } |
| 3224 | |
| 3225 | // aten::lcm.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3226 | inline at::Tensor & lcm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 3227 | return at::_ops::lcm_out::redispatch(dispatchKeySet, self, other, out); |
| 3228 | } |
| 3229 | |
| 3230 | // aten::lcm(Tensor self, Tensor other) -> Tensor |
| 3231 | inline at::Tensor lcm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3232 | return at::_ops::lcm::redispatch(dispatchKeySet, self, other); |
| 3233 | } |
| 3234 | |
| 3235 | // aten::lcm_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 3236 | inline at::Tensor & lcm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 3237 | return at::_ops::lcm_::redispatch(dispatchKeySet, self, other); |
| 3238 | } |
| 3239 | |
| 3240 | // aten::grid_sampler(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor |
| 3241 | inline at::Tensor grid_sampler(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 3242 | return at::_ops::grid_sampler::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners); |
| 3243 | } |
| 3244 | |
| 3245 | // aten::grid_sampler_2d(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor |
| 3246 | inline at::Tensor grid_sampler_2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 3247 | return at::_ops::grid_sampler_2d::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners); |
| 3248 | } |
| 3249 | |
| 3250 | // aten::grid_sampler_2d_backward(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, bool[2] output_mask) -> (Tensor, Tensor) |
| 3251 | inline ::std::tuple<at::Tensor,at::Tensor> grid_sampler_2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, ::std::array<bool,2> output_mask) { |
| 3252 | return at::_ops::grid_sampler_2d_backward::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners, output_mask); |
| 3253 | } |
| 3254 | |
| 3255 | // aten::_grid_sampler_2d_cpu_fallback(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor |
| 3256 | inline at::Tensor _grid_sampler_2d_cpu_fallback(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 3257 | return at::_ops::_grid_sampler_2d_cpu_fallback::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners); |
| 3258 | } |
| 3259 | |
| 3260 | // aten::_grid_sampler_2d_cpu_fallback_backward(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> (Tensor, Tensor) |
| 3261 | inline ::std::tuple<at::Tensor,at::Tensor> _grid_sampler_2d_cpu_fallback_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 3262 | return at::_ops::_grid_sampler_2d_cpu_fallback_backward::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners); |
| 3263 | } |
| 3264 | |
| 3265 | // aten::grid_sampler_3d(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners) -> Tensor |
| 3266 | inline at::Tensor grid_sampler_3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 3267 | return at::_ops::grid_sampler_3d::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners); |
| 3268 | } |
| 3269 | |
| 3270 | // aten::grid_sampler_3d_backward(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, bool[2] output_mask) -> (Tensor, Tensor) |
| 3271 | inline ::std::tuple<at::Tensor,at::Tensor> grid_sampler_3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, ::std::array<bool,2> output_mask) { |
| 3272 | return at::_ops::grid_sampler_3d_backward::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners, output_mask); |
| 3273 | } |
| 3274 | |
| 3275 | // aten::hann_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3276 | inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) { |
| 3277 | return at::_ops::hann_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3278 | } |
| 3279 | |
| 3280 | // aten::hann_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3281 | inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3282 | return at::_ops::hann_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory); |
| 3283 | } |
| 3284 | |
| 3285 | // aten::hann_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3286 | inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) { |
| 3287 | return at::_ops::hann_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3288 | } |
| 3289 | |
| 3290 | // aten::hann_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3291 | inline at::Tensor hann_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3292 | return at::_ops::hann_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory); |
| 3293 | } |
| 3294 | |
| 3295 | // aten::hamming_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3296 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) { |
| 3297 | return at::_ops::hamming_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3298 | } |
| 3299 | |
| 3300 | // aten::hamming_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3301 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3302 | return at::_ops::hamming_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory); |
| 3303 | } |
| 3304 | |
| 3305 | // aten::hamming_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3306 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) { |
| 3307 | return at::_ops::hamming_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3308 | } |
| 3309 | |
| 3310 | // aten::hamming_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3311 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3312 | return at::_ops::hamming_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory); |
| 3313 | } |
| 3314 | |
| 3315 | // aten::hamming_window.periodic_alpha(int window_length, bool periodic, float alpha, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3316 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, at::TensorOptions options={}) { |
| 3317 | return at::_ops::hamming_window_periodic_alpha::redispatch(dispatchKeySet, window_length, periodic, alpha, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3318 | } |
| 3319 | |
| 3320 | // aten::hamming_window.periodic_alpha(int window_length, bool periodic, float alpha, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3321 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3322 | return at::_ops::hamming_window_periodic_alpha::redispatch(dispatchKeySet, window_length, periodic, alpha, dtype, layout, device, pin_memory); |
| 3323 | } |
| 3324 | |
| 3325 | // aten::hamming_window.periodic_alpha_beta(int window_length, bool periodic, float alpha, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3326 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, double beta, at::TensorOptions options={}) { |
| 3327 | return at::_ops::hamming_window_periodic_alpha_beta::redispatch(dispatchKeySet, window_length, periodic, alpha, beta, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3328 | } |
| 3329 | |
| 3330 | // aten::hamming_window.periodic_alpha_beta(int window_length, bool periodic, float alpha, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3331 | inline at::Tensor hamming_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, double beta, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3332 | return at::_ops::hamming_window_periodic_alpha_beta::redispatch(dispatchKeySet, window_length, periodic, alpha, beta, dtype, layout, device, pin_memory); |
| 3333 | } |
| 3334 | |
| 3335 | // aten::kaiser_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3336 | inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::TensorOptions options={}) { |
| 3337 | return at::_ops::kaiser_window::redispatch(dispatchKeySet, window_length, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3338 | } |
| 3339 | |
| 3340 | // aten::kaiser_window(int window_length, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3341 | inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3342 | return at::_ops::kaiser_window::redispatch(dispatchKeySet, window_length, dtype, layout, device, pin_memory); |
| 3343 | } |
| 3344 | |
| 3345 | // aten::kaiser_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3346 | inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::TensorOptions options={}) { |
| 3347 | return at::_ops::kaiser_window_periodic::redispatch(dispatchKeySet, window_length, periodic, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3348 | } |
| 3349 | |
| 3350 | // aten::kaiser_window.periodic(int window_length, bool periodic, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3351 | inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3352 | return at::_ops::kaiser_window_periodic::redispatch(dispatchKeySet, window_length, periodic, dtype, layout, device, pin_memory); |
| 3353 | } |
| 3354 | |
| 3355 | // aten::kaiser_window.beta(int window_length, bool periodic, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3356 | inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double beta, at::TensorOptions options={}) { |
| 3357 | return at::_ops::kaiser_window_beta::redispatch(dispatchKeySet, window_length, periodic, beta, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3358 | } |
| 3359 | |
| 3360 | // aten::kaiser_window.beta(int window_length, bool periodic, float beta, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3361 | inline at::Tensor kaiser_window(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double beta, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3362 | return at::_ops::kaiser_window_beta::redispatch(dispatchKeySet, window_length, periodic, beta, dtype, layout, device, pin_memory); |
| 3363 | } |
| 3364 | |
| 3365 | // aten::hinge_embedding_loss(Tensor self, Tensor target, float margin=1.0, int reduction=Mean) -> Tensor |
| 3366 | inline at::Tensor hinge_embedding_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, double margin=1.0, int64_t reduction=at::Reduction::Mean) { |
| 3367 | return at::_ops::hinge_embedding_loss::redispatch(dispatchKeySet, self, target, margin, reduction); |
| 3368 | } |
| 3369 | |
| 3370 | // aten::group_norm(Tensor input, int num_groups, Tensor? weight=None, Tensor? bias=None, float eps=1e-05, bool cudnn_enabled=True) -> Tensor |
| 3371 | inline at::Tensor group_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, int64_t num_groups, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & bias={}, double eps=1e-05, bool cudnn_enabled=true) { |
| 3372 | return at::_ops::group_norm::redispatch(dispatchKeySet, input, num_groups, weight, bias, eps, cudnn_enabled); |
| 3373 | } |
| 3374 | |
| 3375 | // aten::native_group_norm(Tensor input, Tensor? weight, Tensor? bias, SymInt N, SymInt C, SymInt HxW, int group, float eps) -> (Tensor, Tensor, Tensor) |
| 3376 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_group_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, int64_t N, int64_t C, int64_t HxW, int64_t group, double eps) { |
| 3377 | return at::_ops::native_group_norm::redispatch(dispatchKeySet, input, weight, bias, N, C, HxW, group, eps); |
| 3378 | } |
| 3379 | |
| 3380 | // aten::native_group_norm(Tensor input, Tensor? weight, Tensor? bias, SymInt N, SymInt C, SymInt HxW, int group, float eps) -> (Tensor, Tensor, Tensor) |
| 3381 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_group_norm_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, c10::SymInt N, c10::SymInt C, c10::SymInt HxW, int64_t group, double eps) { |
| 3382 | return at::_ops::native_group_norm::redispatch(dispatchKeySet, input, weight, bias, N, C, HxW, group, eps); |
| 3383 | } |
| 3384 | |
| 3385 | // aten::native_group_norm_backward(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, Tensor? weight, SymInt N, SymInt C, SymInt HxW, int group, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 3386 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_group_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, int64_t N, int64_t C, int64_t HxW, int64_t group, ::std::array<bool,3> output_mask) { |
| 3387 | return at::_ops::native_group_norm_backward::redispatch(dispatchKeySet, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask); |
| 3388 | } |
| 3389 | |
| 3390 | // aten::native_group_norm_backward(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, Tensor? weight, SymInt N, SymInt C, SymInt HxW, int group, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 3391 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_group_norm_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, c10::SymInt N, c10::SymInt C, c10::SymInt HxW, int64_t group, ::std::array<bool,3> output_mask) { |
| 3392 | return at::_ops::native_group_norm_backward::redispatch(dispatchKeySet, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask); |
| 3393 | } |
| 3394 | |
| 3395 | // aten::_fft_r2c(Tensor self, int[] dim, int normalization, bool onesided) -> Tensor |
| 3396 | inline at::Tensor _fft_r2c(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool onesided) { |
| 3397 | return at::_ops::_fft_r2c::redispatch(dispatchKeySet, self, dim, normalization, onesided); |
| 3398 | } |
| 3399 | |
| 3400 | // aten::_fft_r2c.out(Tensor self, int[] dim, int normalization, bool onesided, *, Tensor(a!) out) -> Tensor(a!) |
| 3401 | inline at::Tensor & _fft_r2c_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool onesided) { |
| 3402 | return at::_ops::_fft_r2c_out::redispatch(dispatchKeySet, self, dim, normalization, onesided, out); |
| 3403 | } |
| 3404 | |
| 3405 | // aten::_fft_r2c.out(Tensor self, int[] dim, int normalization, bool onesided, *, Tensor(a!) out) -> Tensor(a!) |
| 3406 | inline at::Tensor & _fft_r2c_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool onesided, at::Tensor & out) { |
| 3407 | return at::_ops::_fft_r2c_out::redispatch(dispatchKeySet, self, dim, normalization, onesided, out); |
| 3408 | } |
| 3409 | |
| 3410 | // aten::_fft_c2r(Tensor self, int[] dim, int normalization, int last_dim_size) -> Tensor |
| 3411 | inline at::Tensor _fft_c2r(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, int64_t last_dim_size) { |
| 3412 | return at::_ops::_fft_c2r::redispatch(dispatchKeySet, self, dim, normalization, last_dim_size); |
| 3413 | } |
| 3414 | |
| 3415 | // aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, int last_dim_size, *, Tensor(a!) out) -> Tensor(a!) |
| 3416 | inline at::Tensor & _fft_c2r_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, int64_t last_dim_size) { |
| 3417 | return at::_ops::_fft_c2r_out::redispatch(dispatchKeySet, self, dim, normalization, last_dim_size, out); |
| 3418 | } |
| 3419 | |
| 3420 | // aten::_fft_c2r.out(Tensor self, int[] dim, int normalization, int last_dim_size, *, Tensor(a!) out) -> Tensor(a!) |
| 3421 | inline at::Tensor & _fft_c2r_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, int64_t last_dim_size, at::Tensor & out) { |
| 3422 | return at::_ops::_fft_c2r_out::redispatch(dispatchKeySet, self, dim, normalization, last_dim_size, out); |
| 3423 | } |
| 3424 | |
| 3425 | // aten::_fft_c2c(Tensor self, SymInt[] dim, int normalization, bool forward) -> Tensor |
| 3426 | inline at::Tensor _fft_c2c(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward) { |
| 3427 | return at::_ops::_fft_c2c::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(dim), normalization, forward); |
| 3428 | } |
| 3429 | |
| 3430 | // aten::_fft_c2c(Tensor self, SymInt[] dim, int normalization, bool forward) -> Tensor |
| 3431 | inline at::Tensor _fft_c2c_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef dim, int64_t normalization, bool forward) { |
| 3432 | return at::_ops::_fft_c2c::redispatch(dispatchKeySet, self, dim, normalization, forward); |
| 3433 | } |
| 3434 | |
| 3435 | // aten::_fft_c2c.out(Tensor self, SymInt[] dim, int normalization, bool forward, *, Tensor(a!) out) -> Tensor(a!) |
| 3436 | inline at::Tensor & _fft_c2c_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward) { |
| 3437 | return at::_ops::_fft_c2c_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(dim), normalization, forward, out); |
| 3438 | } |
| 3439 | |
| 3440 | // aten::_fft_c2c.out(Tensor self, SymInt[] dim, int normalization, bool forward, *, Tensor(a!) out) -> Tensor(a!) |
| 3441 | inline at::Tensor & _fft_c2c_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t normalization, bool forward, at::Tensor & out) { |
| 3442 | return at::_ops::_fft_c2c_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(dim), normalization, forward, out); |
| 3443 | } |
| 3444 | |
| 3445 | // aten::_fft_c2c.out(Tensor self, SymInt[] dim, int normalization, bool forward, *, Tensor(a!) out) -> Tensor(a!) |
| 3446 | inline at::Tensor & _fft_c2c_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef dim, int64_t normalization, bool forward) { |
| 3447 | return at::_ops::_fft_c2c_out::redispatch(dispatchKeySet, self, dim, normalization, forward, out); |
| 3448 | } |
| 3449 | |
| 3450 | // aten::_fft_c2c.out(Tensor self, SymInt[] dim, int normalization, bool forward, *, Tensor(a!) out) -> Tensor(a!) |
| 3451 | inline at::Tensor & _fft_c2c_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef dim, int64_t normalization, bool forward, at::Tensor & out) { |
| 3452 | return at::_ops::_fft_c2c_out::redispatch(dispatchKeySet, self, dim, normalization, forward, out); |
| 3453 | } |
| 3454 | |
| 3455 | // aten::_validate_compressed_sparse_indices(bool is_crow, Tensor compressed_idx, Tensor plain_idx, int cdim, int dim, int nnz) -> () |
| 3456 | inline void _validate_compressed_sparse_indices(c10::DispatchKeySet dispatchKeySet, bool is_crow, const at::Tensor & compressed_idx, const at::Tensor & plain_idx, int64_t cdim, int64_t dim, int64_t nnz) { |
| 3457 | return at::_ops::_validate_compressed_sparse_indices::redispatch(dispatchKeySet, is_crow, compressed_idx, plain_idx, cdim, dim, nnz); |
| 3458 | } |
| 3459 | |
| 3460 | // aten::_cufft_get_plan_cache_size(int device_index) -> int |
| 3461 | inline int64_t _cufft_get_plan_cache_size(c10::DispatchKeySet dispatchKeySet, int64_t device_index) { |
| 3462 | return at::_ops::_cufft_get_plan_cache_size::redispatch(dispatchKeySet, device_index); |
| 3463 | } |
| 3464 | |
| 3465 | // aten::_cufft_get_plan_cache_max_size(int device_index) -> int |
| 3466 | inline int64_t _cufft_get_plan_cache_max_size(c10::DispatchKeySet dispatchKeySet, int64_t device_index) { |
| 3467 | return at::_ops::_cufft_get_plan_cache_max_size::redispatch(dispatchKeySet, device_index); |
| 3468 | } |
| 3469 | |
| 3470 | // aten::_cufft_set_plan_cache_max_size(int device_index, int max_size) -> () |
| 3471 | inline void _cufft_set_plan_cache_max_size(c10::DispatchKeySet dispatchKeySet, int64_t device_index, int64_t max_size) { |
| 3472 | return at::_ops::_cufft_set_plan_cache_max_size::redispatch(dispatchKeySet, device_index, max_size); |
| 3473 | } |
| 3474 | |
| 3475 | // aten::_cufft_clear_plan_cache(int device_index) -> () |
| 3476 | inline void _cufft_clear_plan_cache(c10::DispatchKeySet dispatchKeySet, int64_t device_index) { |
| 3477 | return at::_ops::_cufft_clear_plan_cache::redispatch(dispatchKeySet, device_index); |
| 3478 | } |
| 3479 | |
| 3480 | // aten::index.Tensor(Tensor self, Tensor?[] indices) -> Tensor |
| 3481 | inline at::Tensor index(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices) { |
| 3482 | return at::_ops::index_Tensor::redispatch(dispatchKeySet, self, indices); |
| 3483 | } |
| 3484 | |
| 3485 | // aten::index.Tensor_out(Tensor self, Tensor?[] indices, *, Tensor(a!) out) -> Tensor(a!) |
| 3486 | inline at::Tensor & index_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices) { |
| 3487 | return at::_ops::index_Tensor_out::redispatch(dispatchKeySet, self, indices, out); |
| 3488 | } |
| 3489 | |
| 3490 | // aten::index.Tensor_out(Tensor self, Tensor?[] indices, *, Tensor(a!) out) -> Tensor(a!) |
| 3491 | inline at::Tensor & index_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, at::Tensor & out) { |
| 3492 | return at::_ops::index_Tensor_out::redispatch(dispatchKeySet, self, indices, out); |
| 3493 | } |
| 3494 | |
| 3495 | // aten::index_copy.out(Tensor self, int dim, Tensor index, Tensor source, *, Tensor(a!) out) -> Tensor(a!) |
| 3496 | inline at::Tensor & index_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) { |
| 3497 | return at::_ops::index_copy_out::redispatch(dispatchKeySet, self, dim, index, source, out); |
| 3498 | } |
| 3499 | |
| 3500 | // aten::index_copy.out(Tensor self, int dim, Tensor index, Tensor source, *, Tensor(a!) out) -> Tensor(a!) |
| 3501 | inline at::Tensor & index_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, at::Tensor & out) { |
| 3502 | return at::_ops::index_copy_out::redispatch(dispatchKeySet, self, dim, index, source, out); |
| 3503 | } |
| 3504 | |
| 3505 | // aten::index_copy_(Tensor(a!) self, int dim, Tensor index, Tensor source) -> Tensor(a!) |
| 3506 | inline at::Tensor & index_copy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) { |
| 3507 | return at::_ops::index_copy_::redispatch(dispatchKeySet, self, dim, index, source); |
| 3508 | } |
| 3509 | |
| 3510 | // aten::index_copy(Tensor self, int dim, Tensor index, Tensor source) -> Tensor |
| 3511 | inline at::Tensor index_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source) { |
| 3512 | return at::_ops::index_copy::redispatch(dispatchKeySet, self, dim, index, source); |
| 3513 | } |
| 3514 | |
| 3515 | // aten::index_copy_.dimname(Tensor(a!) self, Dimname dim, Tensor index, Tensor source) -> Tensor(a!) |
| 3516 | inline at::Tensor & index_copy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) { |
| 3517 | return at::_ops::index_copy__dimname::redispatch(dispatchKeySet, self, dim, index, source); |
| 3518 | } |
| 3519 | |
| 3520 | // aten::index_copy.dimname(Tensor self, Dimname dim, Tensor index, Tensor source) -> Tensor |
| 3521 | inline at::Tensor index_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) { |
| 3522 | return at::_ops::index_copy_dimname::redispatch(dispatchKeySet, self, dim, index, source); |
| 3523 | } |
| 3524 | |
| 3525 | // aten::index_put_(Tensor(a!) self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor(a!) |
| 3526 | inline at::Tensor & index_put_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false) { |
| 3527 | return at::_ops::index_put_::redispatch(dispatchKeySet, self, indices, values, accumulate); |
| 3528 | } |
| 3529 | |
| 3530 | // aten::index_put(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor |
| 3531 | inline at::Tensor index_put(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false) { |
| 3532 | return at::_ops::index_put::redispatch(dispatchKeySet, self, indices, values, accumulate); |
| 3533 | } |
| 3534 | |
| 3535 | // aten::_index_put_impl_(Tensor(a!) self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False) -> Tensor(a!) |
| 3536 | inline at::Tensor & _index_put_impl_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false) { |
| 3537 | return at::_ops::_index_put_impl_::redispatch(dispatchKeySet, self, indices, values, accumulate, unsafe); |
| 3538 | } |
| 3539 | |
| 3540 | // aten::instance_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool use_input_stats, float momentum, float eps, bool cudnn_enabled) -> Tensor |
| 3541 | inline at::Tensor instance_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool use_input_stats, double momentum, double eps, bool cudnn_enabled) { |
| 3542 | return at::_ops::instance_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, cudnn_enabled); |
| 3543 | } |
| 3544 | |
| 3545 | // aten::isclose(Tensor self, Tensor other, float rtol=1e-05, float atol=1e-08, bool equal_nan=False) -> Tensor |
| 3546 | inline at::Tensor isclose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) { |
| 3547 | return at::_ops::isclose::redispatch(dispatchKeySet, self, other, rtol, atol, equal_nan); |
| 3548 | } |
| 3549 | |
| 3550 | // aten::isin.Tensor_Tensor_out(Tensor elements, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!) |
| 3551 | inline at::Tensor & isin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) { |
| 3552 | return at::_ops::isin_Tensor_Tensor_out::redispatch(dispatchKeySet, elements, test_elements, assume_unique, invert, out); |
| 3553 | } |
| 3554 | |
| 3555 | // aten::isin.Tensor_Tensor_out(Tensor elements, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!) |
| 3556 | inline at::Tensor & isin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out) { |
| 3557 | return at::_ops::isin_Tensor_Tensor_out::redispatch(dispatchKeySet, elements, test_elements, assume_unique, invert, out); |
| 3558 | } |
| 3559 | |
| 3560 | // aten::isin.Tensor_Tensor(Tensor elements, Tensor test_elements, *, bool assume_unique=False, bool invert=False) -> Tensor |
| 3561 | inline at::Tensor isin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) { |
| 3562 | return at::_ops::isin_Tensor_Tensor::redispatch(dispatchKeySet, elements, test_elements, assume_unique, invert); |
| 3563 | } |
| 3564 | |
| 3565 | // aten::isin.Tensor_Scalar_out(Tensor elements, Scalar test_element, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!) |
| 3566 | inline at::Tensor & isin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false) { |
| 3567 | return at::_ops::isin_Tensor_Scalar_out::redispatch(dispatchKeySet, elements, test_element, assume_unique, invert, out); |
| 3568 | } |
| 3569 | |
| 3570 | // aten::isin.Tensor_Scalar_out(Tensor elements, Scalar test_element, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!) |
| 3571 | inline at::Tensor & isin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique, bool invert, at::Tensor & out) { |
| 3572 | return at::_ops::isin_Tensor_Scalar_out::redispatch(dispatchKeySet, elements, test_element, assume_unique, invert, out); |
| 3573 | } |
| 3574 | |
| 3575 | // aten::isin.Tensor_Scalar(Tensor elements, Scalar test_element, *, bool assume_unique=False, bool invert=False) -> Tensor |
| 3576 | inline at::Tensor isin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & elements, const at::Scalar & test_element, bool assume_unique=false, bool invert=false) { |
| 3577 | return at::_ops::isin_Tensor_Scalar::redispatch(dispatchKeySet, elements, test_element, assume_unique, invert); |
| 3578 | } |
| 3579 | |
| 3580 | // aten::isin.Scalar_Tensor_out(Scalar element, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!) |
| 3581 | inline at::Tensor & isin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) { |
| 3582 | return at::_ops::isin_Scalar_Tensor_out::redispatch(dispatchKeySet, element, test_elements, assume_unique, invert, out); |
| 3583 | } |
| 3584 | |
| 3585 | // aten::isin.Scalar_Tensor_out(Scalar element, Tensor test_elements, *, bool assume_unique=False, bool invert=False, Tensor(a!) out) -> Tensor(a!) |
| 3586 | inline at::Tensor & isin_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique, bool invert, at::Tensor & out) { |
| 3587 | return at::_ops::isin_Scalar_Tensor_out::redispatch(dispatchKeySet, element, test_elements, assume_unique, invert, out); |
| 3588 | } |
| 3589 | |
| 3590 | // aten::isin.Scalar_Tensor(Scalar element, Tensor test_elements, *, bool assume_unique=False, bool invert=False) -> Tensor |
| 3591 | inline at::Tensor isin(c10::DispatchKeySet dispatchKeySet, const at::Scalar & element, const at::Tensor & test_elements, bool assume_unique=false, bool invert=false) { |
| 3592 | return at::_ops::isin_Scalar_Tensor::redispatch(dispatchKeySet, element, test_elements, assume_unique, invert); |
| 3593 | } |
| 3594 | |
| 3595 | // aten::isnan(Tensor self) -> Tensor |
| 3596 | inline at::Tensor isnan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3597 | return at::_ops::isnan::redispatch(dispatchKeySet, self); |
| 3598 | } |
| 3599 | |
| 3600 | // aten::is_distributed(Tensor self) -> bool |
| 3601 | inline bool is_distributed(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3602 | return at::_ops::is_distributed::redispatch(dispatchKeySet, self); |
| 3603 | } |
| 3604 | |
| 3605 | // aten::is_floating_point(Tensor self) -> bool |
| 3606 | inline bool __dispatch_is_floating_point(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3607 | return at::_ops::is_floating_point::redispatch(dispatchKeySet, self); |
| 3608 | } |
| 3609 | |
| 3610 | // aten::is_complex(Tensor self) -> bool |
| 3611 | inline bool __dispatch_is_complex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3612 | return at::_ops::is_complex::redispatch(dispatchKeySet, self); |
| 3613 | } |
| 3614 | |
| 3615 | // aten::is_conj(Tensor self) -> bool |
| 3616 | inline bool __dispatch_is_conj(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3617 | return at::_ops::is_conj::redispatch(dispatchKeySet, self); |
| 3618 | } |
| 3619 | |
| 3620 | // aten::_is_zerotensor(Tensor self) -> bool |
| 3621 | inline bool __dispatch__is_zerotensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3622 | return at::_ops::_is_zerotensor::redispatch(dispatchKeySet, self); |
| 3623 | } |
| 3624 | |
| 3625 | // aten::is_neg(Tensor self) -> bool |
| 3626 | inline bool __dispatch_is_neg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3627 | return at::_ops::is_neg::redispatch(dispatchKeySet, self); |
| 3628 | } |
| 3629 | |
| 3630 | // aten::isreal(Tensor self) -> Tensor |
| 3631 | inline at::Tensor isreal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3632 | return at::_ops::isreal::redispatch(dispatchKeySet, self); |
| 3633 | } |
| 3634 | |
| 3635 | // aten::is_nonzero(Tensor self) -> bool |
| 3636 | inline bool is_nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3637 | return at::_ops::is_nonzero::redispatch(dispatchKeySet, self); |
| 3638 | } |
| 3639 | |
| 3640 | // aten::is_same_size(Tensor self, Tensor other) -> bool |
| 3641 | inline bool is_same_size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3642 | return at::_ops::is_same_size::redispatch(dispatchKeySet, self, other); |
| 3643 | } |
| 3644 | |
| 3645 | // aten::is_signed(Tensor self) -> bool |
| 3646 | inline bool __dispatch_is_signed(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3647 | return at::_ops::is_signed::redispatch(dispatchKeySet, self); |
| 3648 | } |
| 3649 | |
| 3650 | // aten::is_inference(Tensor self) -> bool |
| 3651 | inline bool __dispatch_is_inference(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3652 | return at::_ops::is_inference::redispatch(dispatchKeySet, self); |
| 3653 | } |
| 3654 | |
| 3655 | // aten::kl_div(Tensor self, Tensor target, int reduction=Mean, *, bool log_target=False) -> Tensor |
| 3656 | inline at::Tensor kl_div(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, bool log_target=false) { |
| 3657 | return at::_ops::kl_div::redispatch(dispatchKeySet, self, target, reduction, log_target); |
| 3658 | } |
| 3659 | |
| 3660 | // aten::kron(Tensor self, Tensor other) -> Tensor |
| 3661 | inline at::Tensor kron(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3662 | return at::_ops::kron::redispatch(dispatchKeySet, self, other); |
| 3663 | } |
| 3664 | |
| 3665 | // aten::kron.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3666 | inline at::Tensor & kron_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 3667 | return at::_ops::kron_out::redispatch(dispatchKeySet, self, other, out); |
| 3668 | } |
| 3669 | |
| 3670 | // aten::kron.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3671 | inline at::Tensor & kron_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 3672 | return at::_ops::kron_out::redispatch(dispatchKeySet, self, other, out); |
| 3673 | } |
| 3674 | |
| 3675 | // aten::kthvalue(Tensor self, int k, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 3676 | inline ::std::tuple<at::Tensor,at::Tensor> kthvalue(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim=-1, bool keepdim=false) { |
| 3677 | return at::_ops::kthvalue::redispatch(dispatchKeySet, self, k, dim, keepdim); |
| 3678 | } |
| 3679 | |
| 3680 | // aten::kthvalue.values(Tensor self, int k, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 3681 | inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool keepdim=false) { |
| 3682 | return at::_ops::kthvalue_values::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices); |
| 3683 | } |
| 3684 | |
| 3685 | // aten::kthvalue.values(Tensor self, int k, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 3686 | inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 3687 | return at::_ops::kthvalue_values::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices); |
| 3688 | } |
| 3689 | |
| 3690 | // aten::kthvalue.dimname(Tensor self, int k, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 3691 | inline ::std::tuple<at::Tensor,at::Tensor> kthvalue(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim=false) { |
| 3692 | return at::_ops::kthvalue_dimname::redispatch(dispatchKeySet, self, k, dim, keepdim); |
| 3693 | } |
| 3694 | |
| 3695 | // aten::kthvalue.dimname_out(Tensor self, int k, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 3696 | inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim=false) { |
| 3697 | return at::_ops::kthvalue_dimname_out::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices); |
| 3698 | } |
| 3699 | |
| 3700 | // aten::kthvalue.dimname_out(Tensor self, int k, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 3701 | inline ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 3702 | return at::_ops::kthvalue_dimname_out::redispatch(dispatchKeySet, self, k, dim, keepdim, values, indices); |
| 3703 | } |
| 3704 | |
| 3705 | // aten::layer_norm(Tensor input, SymInt[] normalized_shape, Tensor? weight=None, Tensor? bias=None, float eps=1e-05, bool cudnn_enable=True) -> Tensor |
| 3706 | inline at::Tensor layer_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::IntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & bias={}, double eps=1e-05, bool cudnn_enable=true) { |
| 3707 | return at::_ops::layer_norm::redispatch(dispatchKeySet, input, c10::fromIntArrayRefSlow(normalized_shape), weight, bias, eps, cudnn_enable); |
| 3708 | } |
| 3709 | |
| 3710 | // aten::layer_norm(Tensor input, SymInt[] normalized_shape, Tensor? weight=None, Tensor? bias=None, float eps=1e-05, bool cudnn_enable=True) -> Tensor |
| 3711 | inline at::Tensor layer_norm_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & bias={}, double eps=1e-05, bool cudnn_enable=true) { |
| 3712 | return at::_ops::layer_norm::redispatch(dispatchKeySet, input, normalized_shape, weight, bias, eps, cudnn_enable); |
| 3713 | } |
| 3714 | |
| 3715 | // aten::native_layer_norm(Tensor input, SymInt[] normalized_shape, Tensor? weight, Tensor? bias, float eps) -> (Tensor, Tensor, Tensor) |
| 3716 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_layer_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::IntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps) { |
| 3717 | return at::_ops::native_layer_norm::redispatch(dispatchKeySet, input, c10::fromIntArrayRefSlow(normalized_shape), weight, bias, eps); |
| 3718 | } |
| 3719 | |
| 3720 | // aten::native_layer_norm(Tensor input, SymInt[] normalized_shape, Tensor? weight, Tensor? bias, float eps) -> (Tensor, Tensor, Tensor) |
| 3721 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_layer_norm_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps) { |
| 3722 | return at::_ops::native_layer_norm::redispatch(dispatchKeySet, input, normalized_shape, weight, bias, eps); |
| 3723 | } |
| 3724 | |
| 3725 | // aten::native_layer_norm_backward(Tensor grad_out, Tensor input, SymInt[] normalized_shape, Tensor mean, Tensor rstd, Tensor? weight, Tensor? bias, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 3726 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_layer_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, at::IntArrayRef normalized_shape, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, ::std::array<bool,3> output_mask) { |
| 3727 | return at::_ops::native_layer_norm_backward::redispatch(dispatchKeySet, grad_out, input, c10::fromIntArrayRefSlow(normalized_shape), mean, rstd, weight, bias, output_mask); |
| 3728 | } |
| 3729 | |
| 3730 | // aten::native_layer_norm_backward(Tensor grad_out, Tensor input, SymInt[] normalized_shape, Tensor mean, Tensor rstd, Tensor? weight, Tensor? bias, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 3731 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_layer_norm_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, ::std::array<bool,3> output_mask) { |
| 3732 | return at::_ops::native_layer_norm_backward::redispatch(dispatchKeySet, grad_out, input, normalized_shape, mean, rstd, weight, bias, output_mask); |
| 3733 | } |
| 3734 | |
| 3735 | // aten::nan_to_num(Tensor self, float? nan=None, float? posinf=None, float? neginf=None) -> Tensor |
| 3736 | inline at::Tensor nan_to_num(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) { |
| 3737 | return at::_ops::nan_to_num::redispatch(dispatchKeySet, self, nan, posinf, neginf); |
| 3738 | } |
| 3739 | |
| 3740 | // aten::nan_to_num_(Tensor(a!) self, float? nan=None, float? posinf=None, float? neginf=None) -> Tensor(a!) |
| 3741 | inline at::Tensor & nan_to_num_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) { |
| 3742 | return at::_ops::nan_to_num_::redispatch(dispatchKeySet, self, nan, posinf, neginf); |
| 3743 | } |
| 3744 | |
| 3745 | // aten::nan_to_num.out(Tensor self, float? nan=None, float? posinf=None, float? neginf=None, *, Tensor(a!) out) -> Tensor(a!) |
| 3746 | inline at::Tensor & nan_to_num_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) { |
| 3747 | return at::_ops::nan_to_num_out::redispatch(dispatchKeySet, self, nan, posinf, neginf, out); |
| 3748 | } |
| 3749 | |
| 3750 | // aten::nan_to_num.out(Tensor self, float? nan=None, float? posinf=None, float? neginf=None, *, Tensor(a!) out) -> Tensor(a!) |
| 3751 | inline at::Tensor & nan_to_num_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> nan, c10::optional<double> posinf, c10::optional<double> neginf, at::Tensor & out) { |
| 3752 | return at::_ops::nan_to_num_out::redispatch(dispatchKeySet, self, nan, posinf, neginf, out); |
| 3753 | } |
| 3754 | |
| 3755 | // aten::linear(Tensor input, Tensor weight, Tensor? bias=None) -> Tensor |
| 3756 | inline at::Tensor linear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) { |
| 3757 | return at::_ops::linear::redispatch(dispatchKeySet, input, weight, bias); |
| 3758 | } |
| 3759 | |
| 3760 | // aten::linear_backward(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 3761 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linear_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask) { |
| 3762 | return at::_ops::linear_backward::redispatch(dispatchKeySet, self, grad_output, weight, output_mask); |
| 3763 | } |
| 3764 | |
| 3765 | // aten::linear.out(Tensor input, Tensor weight, Tensor? bias=None, *, Tensor(a!) out) -> Tensor(a!) |
| 3766 | inline at::Tensor & linear_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) { |
| 3767 | return at::_ops::linear_out::redispatch(dispatchKeySet, input, weight, bias, out); |
| 3768 | } |
| 3769 | |
| 3770 | // aten::linear.out(Tensor input, Tensor weight, Tensor? bias=None, *, Tensor(a!) out) -> Tensor(a!) |
| 3771 | inline at::Tensor & linear_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::Tensor & out) { |
| 3772 | return at::_ops::linear_out::redispatch(dispatchKeySet, input, weight, bias, out); |
| 3773 | } |
| 3774 | |
| 3775 | // aten::mkldnn_linear(Tensor self, Tensor weight, Tensor? bias=None) -> Tensor |
| 3776 | inline at::Tensor mkldnn_linear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) { |
| 3777 | return at::_ops::mkldnn_linear::redispatch(dispatchKeySet, self, weight, bias); |
| 3778 | } |
| 3779 | |
| 3780 | // aten::mkldnn_linear_backward_input(int[] input_size, Tensor grad_output, Tensor weight) -> Tensor |
| 3781 | inline at::Tensor mkldnn_linear_backward_input(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef input_size, const at::Tensor & grad_output, const at::Tensor & weight) { |
| 3782 | return at::_ops::mkldnn_linear_backward_input::redispatch(dispatchKeySet, input_size, grad_output, weight); |
| 3783 | } |
| 3784 | |
| 3785 | // aten::mkldnn_linear_backward_weights(Tensor grad_output, Tensor input, Tensor weight, bool bias_defined) -> (Tensor, Tensor) |
| 3786 | inline ::std::tuple<at::Tensor,at::Tensor> mkldnn_linear_backward_weights(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined) { |
| 3787 | return at::_ops::mkldnn_linear_backward_weights::redispatch(dispatchKeySet, grad_output, input, weight, bias_defined); |
| 3788 | } |
| 3789 | |
| 3790 | // aten::mkldnn_linear_backward(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 3791 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> mkldnn_linear_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask) { |
| 3792 | return at::_ops::mkldnn_linear_backward::redispatch(dispatchKeySet, self, grad_output, weight, output_mask); |
| 3793 | } |
| 3794 | |
| 3795 | // aten::fbgemm_linear_int8_weight_fp32_activation(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias) -> Tensor |
| 3796 | inline at::Tensor fbgemm_linear_int8_weight_fp32_activation(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & packed, const at::Tensor & col_offsets, const at::Scalar & weight_scale, const at::Scalar & weight_zero_point, const at::Tensor & bias) { |
| 3797 | return at::_ops::fbgemm_linear_int8_weight_fp32_activation::redispatch(dispatchKeySet, input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); |
| 3798 | } |
| 3799 | |
| 3800 | // aten::fbgemm_linear_int8_weight(Tensor input, Tensor weight, Tensor packed, Tensor col_offsets, Scalar weight_scale, Scalar weight_zero_point, Tensor bias) -> Tensor |
| 3801 | inline at::Tensor fbgemm_linear_int8_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & packed, const at::Tensor & col_offsets, const at::Scalar & weight_scale, const at::Scalar & weight_zero_point, const at::Tensor & bias) { |
| 3802 | return at::_ops::fbgemm_linear_int8_weight::redispatch(dispatchKeySet, input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); |
| 3803 | } |
| 3804 | |
| 3805 | // aten::fbgemm_linear_quantize_weight(Tensor input) -> (Tensor, Tensor, float, int) |
| 3806 | inline ::std::tuple<at::Tensor,at::Tensor,double,int64_t> fbgemm_linear_quantize_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input) { |
| 3807 | return at::_ops::fbgemm_linear_quantize_weight::redispatch(dispatchKeySet, input); |
| 3808 | } |
| 3809 | |
| 3810 | // aten::fbgemm_pack_gemm_matrix_fp16(Tensor input) -> Tensor |
| 3811 | inline at::Tensor fbgemm_pack_gemm_matrix_fp16(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input) { |
| 3812 | return at::_ops::fbgemm_pack_gemm_matrix_fp16::redispatch(dispatchKeySet, input); |
| 3813 | } |
| 3814 | |
| 3815 | // aten::fbgemm_linear_fp16_weight_fp32_activation(Tensor input, Tensor packed_weight, Tensor bias) -> Tensor |
| 3816 | inline at::Tensor fbgemm_linear_fp16_weight_fp32_activation(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) { |
| 3817 | return at::_ops::fbgemm_linear_fp16_weight_fp32_activation::redispatch(dispatchKeySet, input, packed_weight, bias); |
| 3818 | } |
| 3819 | |
| 3820 | // aten::fbgemm_linear_fp16_weight(Tensor input, Tensor packed_weight, Tensor bias) -> Tensor |
| 3821 | inline at::Tensor fbgemm_linear_fp16_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) { |
| 3822 | return at::_ops::fbgemm_linear_fp16_weight::redispatch(dispatchKeySet, input, packed_weight, bias); |
| 3823 | } |
| 3824 | |
| 3825 | // aten::fbgemm_pack_quantized_matrix(Tensor input) -> Tensor |
| 3826 | inline at::Tensor fbgemm_pack_quantized_matrix(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input) { |
| 3827 | return at::_ops::fbgemm_pack_quantized_matrix::redispatch(dispatchKeySet, input); |
| 3828 | } |
| 3829 | |
| 3830 | // aten::fbgemm_pack_quantized_matrix.KN(Tensor input, int K, int N) -> Tensor |
| 3831 | inline at::Tensor fbgemm_pack_quantized_matrix(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, int64_t K, int64_t N) { |
| 3832 | return at::_ops::fbgemm_pack_quantized_matrix_KN::redispatch(dispatchKeySet, input, K, N); |
| 3833 | } |
| 3834 | |
| 3835 | // aten::ldexp.Tensor(Tensor self, Tensor other) -> Tensor |
| 3836 | inline at::Tensor ldexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3837 | return at::_ops::ldexp_Tensor::redispatch(dispatchKeySet, self, other); |
| 3838 | } |
| 3839 | |
| 3840 | // aten::ldexp_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 3841 | inline at::Tensor & ldexp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 3842 | return at::_ops::ldexp_::redispatch(dispatchKeySet, self, other); |
| 3843 | } |
| 3844 | |
| 3845 | // aten::ldexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3846 | inline at::Tensor & ldexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 3847 | return at::_ops::ldexp_out::redispatch(dispatchKeySet, self, other, out); |
| 3848 | } |
| 3849 | |
| 3850 | // aten::ldexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3851 | inline at::Tensor & ldexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 3852 | return at::_ops::ldexp_out::redispatch(dispatchKeySet, self, other, out); |
| 3853 | } |
| 3854 | |
| 3855 | // aten::linspace(Scalar start, Scalar end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3856 | inline at::Tensor linspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, int64_t steps, at::TensorOptions options={}) { |
| 3857 | return at::_ops::linspace::redispatch(dispatchKeySet, start, end, steps, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 3858 | } |
| 3859 | |
| 3860 | // aten::linspace(Scalar start, Scalar end, int steps, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 3861 | inline at::Tensor linspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, int64_t steps, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 3862 | return at::_ops::linspace::redispatch(dispatchKeySet, start, end, steps, dtype, layout, device, pin_memory); |
| 3863 | } |
| 3864 | |
| 3865 | // aten::linspace.out(Scalar start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!) |
| 3866 | inline at::Tensor & linspace_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, int64_t steps) { |
| 3867 | return at::_ops::linspace_out::redispatch(dispatchKeySet, start, end, steps, out); |
| 3868 | } |
| 3869 | |
| 3870 | // aten::linspace.out(Scalar start, Scalar end, int steps, *, Tensor(a!) out) -> Tensor(a!) |
| 3871 | inline at::Tensor & linspace_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, int64_t steps, at::Tensor & out) { |
| 3872 | return at::_ops::linspace_out::redispatch(dispatchKeySet, start, end, steps, out); |
| 3873 | } |
| 3874 | |
| 3875 | // aten::log(Tensor self) -> Tensor |
| 3876 | inline at::Tensor log(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3877 | return at::_ops::log::redispatch(dispatchKeySet, self); |
| 3878 | } |
| 3879 | |
| 3880 | // aten::log_(Tensor(a!) self) -> Tensor(a!) |
| 3881 | inline at::Tensor & log_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 3882 | return at::_ops::log_::redispatch(dispatchKeySet, self); |
| 3883 | } |
| 3884 | |
| 3885 | // aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3886 | inline at::Tensor & log_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 3887 | return at::_ops::log_out::redispatch(dispatchKeySet, self, out); |
| 3888 | } |
| 3889 | |
| 3890 | // aten::log.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3891 | inline at::Tensor & log_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 3892 | return at::_ops::log_out::redispatch(dispatchKeySet, self, out); |
| 3893 | } |
| 3894 | |
| 3895 | // aten::log10(Tensor self) -> Tensor |
| 3896 | inline at::Tensor log10(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3897 | return at::_ops::log10::redispatch(dispatchKeySet, self); |
| 3898 | } |
| 3899 | |
| 3900 | // aten::log10_(Tensor(a!) self) -> Tensor(a!) |
| 3901 | inline at::Tensor & log10_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 3902 | return at::_ops::log10_::redispatch(dispatchKeySet, self); |
| 3903 | } |
| 3904 | |
| 3905 | // aten::log10.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3906 | inline at::Tensor & log10_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 3907 | return at::_ops::log10_out::redispatch(dispatchKeySet, self, out); |
| 3908 | } |
| 3909 | |
| 3910 | // aten::log10.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3911 | inline at::Tensor & log10_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 3912 | return at::_ops::log10_out::redispatch(dispatchKeySet, self, out); |
| 3913 | } |
| 3914 | |
| 3915 | // aten::log1p(Tensor self) -> Tensor |
| 3916 | inline at::Tensor log1p(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3917 | return at::_ops::log1p::redispatch(dispatchKeySet, self); |
| 3918 | } |
| 3919 | |
| 3920 | // aten::log1p_(Tensor(a!) self) -> Tensor(a!) |
| 3921 | inline at::Tensor & log1p_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 3922 | return at::_ops::log1p_::redispatch(dispatchKeySet, self); |
| 3923 | } |
| 3924 | |
| 3925 | // aten::log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3926 | inline at::Tensor & log1p_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 3927 | return at::_ops::log1p_out::redispatch(dispatchKeySet, self, out); |
| 3928 | } |
| 3929 | |
| 3930 | // aten::log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3931 | inline at::Tensor & log1p_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 3932 | return at::_ops::log1p_out::redispatch(dispatchKeySet, self, out); |
| 3933 | } |
| 3934 | |
| 3935 | // aten::log2(Tensor self) -> Tensor |
| 3936 | inline at::Tensor log2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 3937 | return at::_ops::log2::redispatch(dispatchKeySet, self); |
| 3938 | } |
| 3939 | |
| 3940 | // aten::log2_(Tensor(a!) self) -> Tensor(a!) |
| 3941 | inline at::Tensor & log2_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 3942 | return at::_ops::log2_::redispatch(dispatchKeySet, self); |
| 3943 | } |
| 3944 | |
| 3945 | // aten::log2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3946 | inline at::Tensor & log2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 3947 | return at::_ops::log2_out::redispatch(dispatchKeySet, self, out); |
| 3948 | } |
| 3949 | |
| 3950 | // aten::log2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 3951 | inline at::Tensor & log2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 3952 | return at::_ops::log2_out::redispatch(dispatchKeySet, self, out); |
| 3953 | } |
| 3954 | |
| 3955 | // aten::logaddexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3956 | inline at::Tensor & logaddexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 3957 | return at::_ops::logaddexp_out::redispatch(dispatchKeySet, self, other, out); |
| 3958 | } |
| 3959 | |
| 3960 | // aten::logaddexp.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3961 | inline at::Tensor & logaddexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 3962 | return at::_ops::logaddexp_out::redispatch(dispatchKeySet, self, other, out); |
| 3963 | } |
| 3964 | |
| 3965 | // aten::logaddexp(Tensor self, Tensor other) -> Tensor |
| 3966 | inline at::Tensor logaddexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3967 | return at::_ops::logaddexp::redispatch(dispatchKeySet, self, other); |
| 3968 | } |
| 3969 | |
| 3970 | // aten::logaddexp2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3971 | inline at::Tensor & logaddexp2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 3972 | return at::_ops::logaddexp2_out::redispatch(dispatchKeySet, self, other, out); |
| 3973 | } |
| 3974 | |
| 3975 | // aten::logaddexp2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 3976 | inline at::Tensor & logaddexp2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 3977 | return at::_ops::logaddexp2_out::redispatch(dispatchKeySet, self, other, out); |
| 3978 | } |
| 3979 | |
| 3980 | // aten::logaddexp2(Tensor self, Tensor other) -> Tensor |
| 3981 | inline at::Tensor logaddexp2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3982 | return at::_ops::logaddexp2::redispatch(dispatchKeySet, self, other); |
| 3983 | } |
| 3984 | |
| 3985 | // aten::xlogy.Tensor(Tensor self, Tensor other) -> Tensor |
| 3986 | inline at::Tensor xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 3987 | return at::_ops::xlogy_Tensor::redispatch(dispatchKeySet, self, other); |
| 3988 | } |
| 3989 | |
| 3990 | // aten::xlogy.Scalar_Self(Scalar self, Tensor other) -> Tensor |
| 3991 | inline at::Tensor xlogy(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 3992 | return at::_ops::xlogy_Scalar_Self::redispatch(dispatchKeySet, self, other); |
| 3993 | } |
| 3994 | |
| 3995 | // aten::xlogy.Scalar_Other(Tensor self, Scalar other) -> Tensor |
| 3996 | inline at::Tensor xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 3997 | return at::_ops::xlogy_Scalar_Other::redispatch(dispatchKeySet, self, other); |
| 3998 | } |
| 3999 | |
| 4000 | // aten::xlogy_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4001 | inline at::Tensor & xlogy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 4002 | return at::_ops::xlogy__Tensor::redispatch(dispatchKeySet, self, other); |
| 4003 | } |
| 4004 | |
| 4005 | // aten::xlogy_.Scalar_Other(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4006 | inline at::Tensor & xlogy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 4007 | return at::_ops::xlogy__Scalar_Other::redispatch(dispatchKeySet, self, other); |
| 4008 | } |
| 4009 | |
| 4010 | // aten::xlogy.OutTensor(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4011 | inline at::Tensor & xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 4012 | return at::_ops::xlogy_OutTensor::redispatch(dispatchKeySet, self, other, out); |
| 4013 | } |
| 4014 | |
| 4015 | // aten::xlogy.OutTensor(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4016 | inline at::Tensor & xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4017 | return at::_ops::xlogy_OutTensor::redispatch(dispatchKeySet, self, other, out); |
| 4018 | } |
| 4019 | |
| 4020 | // aten::xlogy.OutScalar_Self(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4021 | inline at::Tensor & xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 4022 | return at::_ops::xlogy_OutScalar_Self::redispatch(dispatchKeySet, self, other, out); |
| 4023 | } |
| 4024 | |
| 4025 | // aten::xlogy.OutScalar_Self(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4026 | inline at::Tensor & xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 4027 | return at::_ops::xlogy_OutScalar_Self::redispatch(dispatchKeySet, self, other, out); |
| 4028 | } |
| 4029 | |
| 4030 | // aten::xlogy.OutScalar_Other(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 4031 | inline at::Tensor & xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 4032 | return at::_ops::xlogy_OutScalar_Other::redispatch(dispatchKeySet, self, other, out); |
| 4033 | } |
| 4034 | |
| 4035 | // aten::xlogy.OutScalar_Other(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 4036 | inline at::Tensor & xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 4037 | return at::_ops::xlogy_OutScalar_Other::redispatch(dispatchKeySet, self, other, out); |
| 4038 | } |
| 4039 | |
| 4040 | // aten::logspace(Scalar start, Scalar end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4041 | inline at::Tensor logspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, int64_t steps, double base=10.0, at::TensorOptions options={}) { |
| 4042 | return at::_ops::logspace::redispatch(dispatchKeySet, start, end, steps, base, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 4043 | } |
| 4044 | |
| 4045 | // aten::logspace(Scalar start, Scalar end, int steps, float base=10.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4046 | inline at::Tensor logspace(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, int64_t steps, double base, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 4047 | return at::_ops::logspace::redispatch(dispatchKeySet, start, end, steps, base, dtype, layout, device, pin_memory); |
| 4048 | } |
| 4049 | |
| 4050 | // aten::logspace.out(Scalar start, Scalar end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!) |
| 4051 | inline at::Tensor & logspace_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, int64_t steps, double base=10.0) { |
| 4052 | return at::_ops::logspace_out::redispatch(dispatchKeySet, start, end, steps, base, out); |
| 4053 | } |
| 4054 | |
| 4055 | // aten::logspace.out(Scalar start, Scalar end, int steps, float base=10.0, *, Tensor(a!) out) -> Tensor(a!) |
| 4056 | inline at::Tensor & logspace_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, int64_t steps, double base, at::Tensor & out) { |
| 4057 | return at::_ops::logspace_out::redispatch(dispatchKeySet, start, end, steps, base, out); |
| 4058 | } |
| 4059 | |
| 4060 | // aten::log_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor |
| 4061 | inline at::Tensor log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4062 | return at::_ops::log_softmax_int::redispatch(dispatchKeySet, self, dim, dtype); |
| 4063 | } |
| 4064 | |
| 4065 | // aten::log_softmax.int_out(Tensor self, int dim, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 4066 | inline at::Tensor & log_softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4067 | return at::_ops::log_softmax_int_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 4068 | } |
| 4069 | |
| 4070 | // aten::log_softmax.int_out(Tensor self, int dim, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 4071 | inline at::Tensor & log_softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 4072 | return at::_ops::log_softmax_int_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 4073 | } |
| 4074 | |
| 4075 | // aten::log_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 4076 | inline at::Tensor log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4077 | return at::_ops::log_softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 4078 | } |
| 4079 | |
| 4080 | // aten::_log_softmax(Tensor self, int dim, bool half_to_float) -> Tensor |
| 4081 | inline at::Tensor _log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 4082 | return at::_ops::_log_softmax::redispatch(dispatchKeySet, self, dim, half_to_float); |
| 4083 | } |
| 4084 | |
| 4085 | // aten::_log_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 4086 | inline at::Tensor & _log_softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 4087 | return at::_ops::_log_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 4088 | } |
| 4089 | |
| 4090 | // aten::_log_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 4091 | inline at::Tensor & _log_softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) { |
| 4092 | return at::_ops::_log_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 4093 | } |
| 4094 | |
| 4095 | // aten::_log_softmax_backward_data(Tensor grad_output, Tensor output, int dim, ScalarType input_dtype) -> Tensor |
| 4096 | inline at::Tensor _log_softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype) { |
| 4097 | return at::_ops::_log_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, input_dtype); |
| 4098 | } |
| 4099 | |
| 4100 | // aten::_log_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, ScalarType input_dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 4101 | inline at::Tensor & _log_softmax_backward_data_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype) { |
| 4102 | return at::_ops::_log_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, input_dtype, out); |
| 4103 | } |
| 4104 | |
| 4105 | // aten::_log_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, ScalarType input_dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 4106 | inline at::Tensor & _log_softmax_backward_data_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype, at::Tensor & out) { |
| 4107 | return at::_ops::_log_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, input_dtype, out); |
| 4108 | } |
| 4109 | |
| 4110 | // aten::_logcumsumexp(Tensor self, int dim) -> Tensor |
| 4111 | inline at::Tensor _logcumsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 4112 | return at::_ops::_logcumsumexp::redispatch(dispatchKeySet, self, dim); |
| 4113 | } |
| 4114 | |
| 4115 | // aten::_logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 4116 | inline at::Tensor & _logcumsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim) { |
| 4117 | return at::_ops::_logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out); |
| 4118 | } |
| 4119 | |
| 4120 | // aten::_logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 4121 | inline at::Tensor & _logcumsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) { |
| 4122 | return at::_ops::_logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out); |
| 4123 | } |
| 4124 | |
| 4125 | // aten::logcumsumexp(Tensor self, int dim) -> Tensor |
| 4126 | inline at::Tensor logcumsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 4127 | return at::_ops::logcumsumexp::redispatch(dispatchKeySet, self, dim); |
| 4128 | } |
| 4129 | |
| 4130 | // aten::logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 4131 | inline at::Tensor & logcumsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim) { |
| 4132 | return at::_ops::logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out); |
| 4133 | } |
| 4134 | |
| 4135 | // aten::logcumsumexp.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 4136 | inline at::Tensor & logcumsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) { |
| 4137 | return at::_ops::logcumsumexp_out::redispatch(dispatchKeySet, self, dim, out); |
| 4138 | } |
| 4139 | |
| 4140 | // aten::logcumsumexp.dimname(Tensor self, Dimname dim) -> Tensor |
| 4141 | inline at::Tensor logcumsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) { |
| 4142 | return at::_ops::logcumsumexp_dimname::redispatch(dispatchKeySet, self, dim); |
| 4143 | } |
| 4144 | |
| 4145 | // aten::logcumsumexp.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 4146 | inline at::Tensor & logcumsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim) { |
| 4147 | return at::_ops::logcumsumexp_dimname_out::redispatch(dispatchKeySet, self, dim, out); |
| 4148 | } |
| 4149 | |
| 4150 | // aten::logcumsumexp.dimname_out(Tensor self, Dimname dim, *, Tensor(a!) out) -> Tensor(a!) |
| 4151 | inline at::Tensor & logcumsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::Tensor & out) { |
| 4152 | return at::_ops::logcumsumexp_dimname_out::redispatch(dispatchKeySet, self, dim, out); |
| 4153 | } |
| 4154 | |
| 4155 | // aten::logsumexp(Tensor self, int[1] dim, bool keepdim=False) -> Tensor |
| 4156 | inline at::Tensor logsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 4157 | return at::_ops::logsumexp::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4158 | } |
| 4159 | |
| 4160 | // aten::logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4161 | inline at::Tensor & logsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 4162 | return at::_ops::logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4163 | } |
| 4164 | |
| 4165 | // aten::logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4166 | inline at::Tensor & logsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 4167 | return at::_ops::logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4168 | } |
| 4169 | |
| 4170 | // aten::logsumexp.names(Tensor self, Dimname[1] dim, bool keepdim=False) -> Tensor |
| 4171 | inline at::Tensor logsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim=false) { |
| 4172 | return at::_ops::logsumexp_names::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4173 | } |
| 4174 | |
| 4175 | // aten::logsumexp.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4176 | inline at::Tensor & logsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim=false) { |
| 4177 | return at::_ops::logsumexp_names_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4178 | } |
| 4179 | |
| 4180 | // aten::logsumexp.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4181 | inline at::Tensor & logsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim, at::Tensor & out) { |
| 4182 | return at::_ops::logsumexp_names_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4183 | } |
| 4184 | |
| 4185 | // aten::margin_ranking_loss(Tensor input1, Tensor input2, Tensor target, float margin=0.0, int reduction=Mean) -> Tensor |
| 4186 | inline at::Tensor margin_ranking_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin=0.0, int64_t reduction=at::Reduction::Mean) { |
| 4187 | return at::_ops::margin_ranking_loss::redispatch(dispatchKeySet, input1, input2, target, margin, reduction); |
| 4188 | } |
| 4189 | |
| 4190 | // aten::matmul(Tensor self, Tensor other) -> Tensor |
| 4191 | inline at::Tensor matmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 4192 | return at::_ops::matmul::redispatch(dispatchKeySet, self, other); |
| 4193 | } |
| 4194 | |
| 4195 | // aten::matmul_backward(Tensor grad, Tensor self, Tensor other, bool[2] mask) -> (Tensor, Tensor) |
| 4196 | inline ::std::tuple<at::Tensor,at::Tensor> matmul_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, const at::Tensor & other, ::std::array<bool,2> mask) { |
| 4197 | return at::_ops::matmul_backward::redispatch(dispatchKeySet, grad, self, other, mask); |
| 4198 | } |
| 4199 | |
| 4200 | // aten::matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4201 | inline at::Tensor & matmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 4202 | return at::_ops::matmul_out::redispatch(dispatchKeySet, self, other, out); |
| 4203 | } |
| 4204 | |
| 4205 | // aten::matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4206 | inline at::Tensor & matmul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4207 | return at::_ops::matmul_out::redispatch(dispatchKeySet, self, other, out); |
| 4208 | } |
| 4209 | |
| 4210 | // aten::matrix_power(Tensor self, int n) -> Tensor |
| 4211 | inline at::Tensor matrix_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n) { |
| 4212 | return at::_ops::matrix_power::redispatch(dispatchKeySet, self, n); |
| 4213 | } |
| 4214 | |
| 4215 | // aten::matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!) |
| 4216 | inline at::Tensor & matrix_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t n) { |
| 4217 | return at::_ops::matrix_power_out::redispatch(dispatchKeySet, self, n, out); |
| 4218 | } |
| 4219 | |
| 4220 | // aten::matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!) |
| 4221 | inline at::Tensor & matrix_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n, at::Tensor & out) { |
| 4222 | return at::_ops::matrix_power_out::redispatch(dispatchKeySet, self, n, out); |
| 4223 | } |
| 4224 | |
| 4225 | // aten::matrix_exp(Tensor self) -> Tensor |
| 4226 | inline at::Tensor matrix_exp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 4227 | return at::_ops::matrix_exp::redispatch(dispatchKeySet, self); |
| 4228 | } |
| 4229 | |
| 4230 | // aten::matrix_exp_backward(Tensor self, Tensor grad) -> Tensor |
| 4231 | inline at::Tensor matrix_exp_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad) { |
| 4232 | return at::_ops::matrix_exp_backward::redispatch(dispatchKeySet, self, grad); |
| 4233 | } |
| 4234 | |
| 4235 | // aten::_aminmax(Tensor self) -> (Tensor, Tensor) |
| 4236 | inline ::std::tuple<at::Tensor,at::Tensor> _aminmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 4237 | return at::_ops::_aminmax::redispatch(dispatchKeySet, self); |
| 4238 | } |
| 4239 | |
| 4240 | // aten::_aminmax.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor, Tensor) |
| 4241 | inline ::std::tuple<at::Tensor,at::Tensor> _aminmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4242 | return at::_ops::_aminmax_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4243 | } |
| 4244 | |
| 4245 | // aten::aminmax(Tensor self, *, int? dim=None, bool keepdim=False) -> (Tensor min, Tensor max) |
| 4246 | inline ::std::tuple<at::Tensor,at::Tensor> aminmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) { |
| 4247 | return at::_ops::aminmax::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4248 | } |
| 4249 | |
| 4250 | // aten::aminmax.out(Tensor self, *, int? dim=None, bool keepdim=False, Tensor(a!) min, Tensor(b!) max) -> (Tensor(a!) min, Tensor(b!) max) |
| 4251 | inline ::std::tuple<at::Tensor &,at::Tensor &> aminmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & min, at::Tensor & max, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) { |
| 4252 | return at::_ops::aminmax_out::redispatch(dispatchKeySet, self, dim, keepdim, min, max); |
| 4253 | } |
| 4254 | |
| 4255 | // aten::aminmax.out(Tensor self, *, int? dim=None, bool keepdim=False, Tensor(a!) min, Tensor(b!) max) -> (Tensor(a!) min, Tensor(b!) max) |
| 4256 | inline ::std::tuple<at::Tensor &,at::Tensor &> aminmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim, bool keepdim, at::Tensor & min, at::Tensor & max) { |
| 4257 | return at::_ops::aminmax_out::redispatch(dispatchKeySet, self, dim, keepdim, min, max); |
| 4258 | } |
| 4259 | |
| 4260 | // aten::_compute_linear_combination(Tensor input, Tensor coefficients) -> Tensor |
| 4261 | inline at::Tensor _compute_linear_combination(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & coefficients) { |
| 4262 | return at::_ops::_compute_linear_combination::redispatch(dispatchKeySet, input, coefficients); |
| 4263 | } |
| 4264 | |
| 4265 | // aten::_compute_linear_combination.out(Tensor input, Tensor coefficients, *, Tensor(a!) out) -> Tensor(a!) |
| 4266 | inline at::Tensor & _compute_linear_combination_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & coefficients) { |
| 4267 | return at::_ops::_compute_linear_combination_out::redispatch(dispatchKeySet, input, coefficients, out); |
| 4268 | } |
| 4269 | |
| 4270 | // aten::_compute_linear_combination.out(Tensor input, Tensor coefficients, *, Tensor(a!) out) -> Tensor(a!) |
| 4271 | inline at::Tensor & _compute_linear_combination_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & coefficients, at::Tensor & out) { |
| 4272 | return at::_ops::_compute_linear_combination_out::redispatch(dispatchKeySet, input, coefficients, out); |
| 4273 | } |
| 4274 | |
| 4275 | // aten::max.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4276 | inline ::std::tuple<at::Tensor,at::Tensor> max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4277 | return at::_ops::max_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4278 | } |
| 4279 | |
| 4280 | // aten::max.dim_max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4281 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & max, at::Tensor & max_values, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4282 | return at::_ops::max_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values); |
| 4283 | } |
| 4284 | |
| 4285 | // aten::max.dim_max(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4286 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) { |
| 4287 | return at::_ops::max_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values); |
| 4288 | } |
| 4289 | |
| 4290 | // aten::max.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4291 | inline ::std::tuple<at::Tensor,at::Tensor> max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4292 | return at::_ops::max_names_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4293 | } |
| 4294 | |
| 4295 | // aten::max.names_dim_max(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4296 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & max, at::Tensor & max_values, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4297 | return at::_ops::max_names_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values); |
| 4298 | } |
| 4299 | |
| 4300 | // aten::max.names_dim_max(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) max, Tensor(b!) max_values) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4301 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) { |
| 4302 | return at::_ops::max_names_dim_max::redispatch(dispatchKeySet, self, dim, keepdim, max, max_values); |
| 4303 | } |
| 4304 | |
| 4305 | // aten::value_selecting_reduction_backward(Tensor grad, int dim, Tensor indices, SymInt[] sizes, bool keepdim) -> Tensor |
| 4306 | inline at::Tensor value_selecting_reduction_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, int64_t dim, const at::Tensor & indices, at::IntArrayRef sizes, bool keepdim) { |
| 4307 | return at::_ops::value_selecting_reduction_backward::redispatch(dispatchKeySet, grad, dim, indices, c10::fromIntArrayRefSlow(sizes), keepdim); |
| 4308 | } |
| 4309 | |
| 4310 | // aten::value_selecting_reduction_backward(Tensor grad, int dim, Tensor indices, SymInt[] sizes, bool keepdim) -> Tensor |
| 4311 | inline at::Tensor value_selecting_reduction_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, int64_t dim, const at::Tensor & indices, c10::SymIntArrayRef sizes, bool keepdim) { |
| 4312 | return at::_ops::value_selecting_reduction_backward::redispatch(dispatchKeySet, grad, dim, indices, sizes, keepdim); |
| 4313 | } |
| 4314 | |
| 4315 | // aten::amax(Tensor self, int[1] dim=[], bool keepdim=False) -> Tensor |
| 4316 | inline at::Tensor amax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) { |
| 4317 | return at::_ops::amax::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4318 | } |
| 4319 | |
| 4320 | // aten::amax.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4321 | inline at::Tensor & amax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) { |
| 4322 | return at::_ops::amax_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4323 | } |
| 4324 | |
| 4325 | // aten::amax.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4326 | inline at::Tensor & amax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 4327 | return at::_ops::amax_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4328 | } |
| 4329 | |
| 4330 | // aten::max_pool1d_with_indices(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) |
| 4331 | inline ::std::tuple<at::Tensor,at::Tensor> max_pool1d_with_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4332 | return at::_ops::max_pool1d_with_indices::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4333 | } |
| 4334 | |
| 4335 | // aten::max_pool1d(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False) -> Tensor |
| 4336 | inline at::Tensor max_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4337 | return at::_ops::max_pool1d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4338 | } |
| 4339 | |
| 4340 | // aten::max_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor |
| 4341 | inline at::Tensor max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4342 | return at::_ops::max_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4343 | } |
| 4344 | |
| 4345 | // aten::_mps_max_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor |
| 4346 | inline at::Tensor _mps_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4347 | return at::_ops::_mps_max_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4348 | } |
| 4349 | |
| 4350 | // aten::mps_max_pool2d_backward(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor |
| 4351 | inline at::Tensor mps_max_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4352 | return at::_ops::mps_max_pool2d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4353 | } |
| 4354 | |
| 4355 | // aten::mkldnn_max_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor |
| 4356 | inline at::Tensor mkldnn_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4357 | return at::_ops::mkldnn_max_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4358 | } |
| 4359 | |
| 4360 | // aten::mkldnn_max_pool2d_backward(Tensor grad_output, Tensor output, Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor |
| 4361 | inline at::Tensor mkldnn_max_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4362 | return at::_ops::mkldnn_max_pool2d_backward::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode); |
| 4363 | } |
| 4364 | |
| 4365 | // aten::mkldnn_max_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor |
| 4366 | inline at::Tensor mkldnn_max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4367 | return at::_ops::mkldnn_max_pool3d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4368 | } |
| 4369 | |
| 4370 | // aten::mkldnn_max_pool3d_backward(Tensor grad_output, Tensor output, Tensor input, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor |
| 4371 | inline at::Tensor mkldnn_max_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4372 | return at::_ops::mkldnn_max_pool3d_backward::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode); |
| 4373 | } |
| 4374 | |
| 4375 | // aten::quantized_max_pool1d(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False) -> Tensor |
| 4376 | inline at::Tensor quantized_max_pool1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4377 | return at::_ops::quantized_max_pool1d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4378 | } |
| 4379 | |
| 4380 | // aten::quantized_max_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> Tensor |
| 4381 | inline at::Tensor quantized_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4382 | return at::_ops::quantized_max_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4383 | } |
| 4384 | |
| 4385 | // aten::max_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> Tensor |
| 4386 | inline at::Tensor max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 4387 | return at::_ops::max_pool3d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 4388 | } |
| 4389 | |
| 4390 | // aten::mean(Tensor self, *, ScalarType? dtype=None) -> Tensor |
| 4391 | inline at::Tensor mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4392 | return at::_ops::mean::redispatch(dispatchKeySet, self, dtype); |
| 4393 | } |
| 4394 | |
| 4395 | // aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 4396 | inline at::Tensor mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4397 | return at::_ops::mean_dim::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 4398 | } |
| 4399 | |
| 4400 | // aten::mean.out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 4401 | inline at::Tensor & mean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4402 | return at::_ops::mean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 4403 | } |
| 4404 | |
| 4405 | // aten::mean.out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 4406 | inline at::Tensor & mean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 4407 | return at::_ops::mean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 4408 | } |
| 4409 | |
| 4410 | // aten::mean.names_dim(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 4411 | inline at::Tensor mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4412 | return at::_ops::mean_names_dim::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 4413 | } |
| 4414 | |
| 4415 | // aten::mean.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 4416 | inline at::Tensor & mean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4417 | return at::_ops::mean_names_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 4418 | } |
| 4419 | |
| 4420 | // aten::mean.names_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 4421 | inline at::Tensor & mean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 4422 | return at::_ops::mean_names_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 4423 | } |
| 4424 | |
| 4425 | // aten::nanmean(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 4426 | inline at::Tensor nanmean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4427 | return at::_ops::nanmean::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 4428 | } |
| 4429 | |
| 4430 | // aten::nanmean.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 4431 | inline at::Tensor & nanmean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 4432 | return at::_ops::nanmean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 4433 | } |
| 4434 | |
| 4435 | // aten::nanmean.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 4436 | inline at::Tensor & nanmean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 4437 | return at::_ops::nanmean_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 4438 | } |
| 4439 | |
| 4440 | // aten::median(Tensor self) -> Tensor |
| 4441 | inline at::Tensor median(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 4442 | return at::_ops::median::redispatch(dispatchKeySet, self); |
| 4443 | } |
| 4444 | |
| 4445 | // aten::median.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4446 | inline ::std::tuple<at::Tensor,at::Tensor> median(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4447 | return at::_ops::median_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4448 | } |
| 4449 | |
| 4450 | // aten::median.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4451 | inline ::std::tuple<at::Tensor &,at::Tensor &> median_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4452 | return at::_ops::median_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4453 | } |
| 4454 | |
| 4455 | // aten::median.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4456 | inline ::std::tuple<at::Tensor &,at::Tensor &> median_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 4457 | return at::_ops::median_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4458 | } |
| 4459 | |
| 4460 | // aten::median.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4461 | inline ::std::tuple<at::Tensor,at::Tensor> median(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4462 | return at::_ops::median_names_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4463 | } |
| 4464 | |
| 4465 | // aten::median.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4466 | inline ::std::tuple<at::Tensor &,at::Tensor &> median_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4467 | return at::_ops::median_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4468 | } |
| 4469 | |
| 4470 | // aten::median.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4471 | inline ::std::tuple<at::Tensor &,at::Tensor &> median_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 4472 | return at::_ops::median_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4473 | } |
| 4474 | |
| 4475 | // aten::nanmedian(Tensor self) -> Tensor |
| 4476 | inline at::Tensor nanmedian(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 4477 | return at::_ops::nanmedian::redispatch(dispatchKeySet, self); |
| 4478 | } |
| 4479 | |
| 4480 | // aten::nanmedian.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4481 | inline ::std::tuple<at::Tensor,at::Tensor> nanmedian(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4482 | return at::_ops::nanmedian_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4483 | } |
| 4484 | |
| 4485 | // aten::nanmedian.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4486 | inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4487 | return at::_ops::nanmedian_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4488 | } |
| 4489 | |
| 4490 | // aten::nanmedian.dim_values(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4491 | inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 4492 | return at::_ops::nanmedian_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4493 | } |
| 4494 | |
| 4495 | // aten::nanmedian.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4496 | inline ::std::tuple<at::Tensor,at::Tensor> nanmedian(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4497 | return at::_ops::nanmedian_names_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4498 | } |
| 4499 | |
| 4500 | // aten::nanmedian.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4501 | inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4502 | return at::_ops::nanmedian_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4503 | } |
| 4504 | |
| 4505 | // aten::nanmedian.names_dim_values(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4506 | inline ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 4507 | return at::_ops::nanmedian_names_dim_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4508 | } |
| 4509 | |
| 4510 | // aten::min.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4511 | inline ::std::tuple<at::Tensor,at::Tensor> min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4512 | return at::_ops::min_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4513 | } |
| 4514 | |
| 4515 | // aten::min.dim_min(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4516 | inline ::std::tuple<at::Tensor &,at::Tensor &> min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & min, at::Tensor & min_indices, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 4517 | return at::_ops::min_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices); |
| 4518 | } |
| 4519 | |
| 4520 | // aten::min.dim_min(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4521 | inline ::std::tuple<at::Tensor &,at::Tensor &> min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & min, at::Tensor & min_indices) { |
| 4522 | return at::_ops::min_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices); |
| 4523 | } |
| 4524 | |
| 4525 | // aten::min.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4526 | inline ::std::tuple<at::Tensor,at::Tensor> min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4527 | return at::_ops::min_names_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4528 | } |
| 4529 | |
| 4530 | // aten::min.names_dim_min(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4531 | inline ::std::tuple<at::Tensor &,at::Tensor &> min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & min, at::Tensor & min_indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4532 | return at::_ops::min_names_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices); |
| 4533 | } |
| 4534 | |
| 4535 | // aten::min.names_dim_min(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) min, Tensor(b!) min_indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4536 | inline ::std::tuple<at::Tensor &,at::Tensor &> min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & min, at::Tensor & min_indices) { |
| 4537 | return at::_ops::min_names_dim_min::redispatch(dispatchKeySet, self, dim, keepdim, min, min_indices); |
| 4538 | } |
| 4539 | |
| 4540 | // aten::amin(Tensor self, int[1] dim=[], bool keepdim=False) -> Tensor |
| 4541 | inline at::Tensor amin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) { |
| 4542 | return at::_ops::amin::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4543 | } |
| 4544 | |
| 4545 | // aten::amin.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4546 | inline at::Tensor & amin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim={}, bool keepdim=false) { |
| 4547 | return at::_ops::amin_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4548 | } |
| 4549 | |
| 4550 | // aten::amin.out(Tensor self, int[1] dim=[], bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 4551 | inline at::Tensor & amin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 4552 | return at::_ops::amin_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 4553 | } |
| 4554 | |
| 4555 | // aten::_mps_convolution(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups) -> Tensor |
| 4556 | inline at::Tensor _mps_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 4557 | return at::_ops::_mps_convolution::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups); |
| 4558 | } |
| 4559 | |
| 4560 | // aten::mps_convolution_backward(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 4561 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> mps_convolution_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, ::std::array<bool,3> output_mask) { |
| 4562 | return at::_ops::mps_convolution_backward::redispatch(dispatchKeySet, self, grad_output, weight, padding, stride, dilation, groups, output_mask); |
| 4563 | } |
| 4564 | |
| 4565 | // aten::mkldnn_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups) -> Tensor |
| 4566 | inline at::Tensor mkldnn_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 4567 | return at::_ops::mkldnn_convolution::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups); |
| 4568 | } |
| 4569 | |
| 4570 | // aten::mkldnn_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups) -> Tensor |
| 4571 | inline at::Tensor mkldnn_convolution_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 4572 | return at::_ops::mkldnn_convolution::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups); |
| 4573 | } |
| 4574 | |
| 4575 | // aten::mkldnn_rnn_layer(Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, bool reverse, int[] batch_sizes, int mode, int hidden_size, int num_layers, bool has_biases, bool bidirectional, bool batch_first, bool train) -> (Tensor, Tensor, Tensor, Tensor) |
| 4576 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> mkldnn_rnn_layer(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight0, const at::Tensor & weight1, const at::Tensor & weight2, const at::Tensor & weight3, const at::Tensor & hx_, const at::Tensor & cx_, bool reverse, at::IntArrayRef batch_sizes, int64_t mode, int64_t hidden_size, int64_t num_layers, bool has_biases, bool bidirectional, bool batch_first, bool train) { |
| 4577 | return at::_ops::mkldnn_rnn_layer::redispatch(dispatchKeySet, input, weight0, weight1, weight2, weight3, hx_, cx_, reverse, batch_sizes, mode, hidden_size, num_layers, has_biases, bidirectional, batch_first, train); |
| 4578 | } |
| 4579 | |
| 4580 | // aten::mkldnn_rnn_layer_backward(Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, bool reverse, int mode, int hidden_size, int num_layers, bool has_biases, bool train, bool bidirectional, int[] batch_sizes, bool batch_first, Tensor workspace) -> (Tensor, Tensor, Tensor, Tensor, Tensor, Tensor, Tensor) |
| 4581 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> mkldnn_rnn_layer_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight1, const at::Tensor & weight2, const at::Tensor & weight3, const at::Tensor & weight4, const at::Tensor & hx_, const at::Tensor & cx_tmp, const at::Tensor & output, const at::Tensor & hy_, const at::Tensor & cy_, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, bool reverse, int64_t mode, int64_t hidden_size, int64_t num_layers, bool has_biases, bool train, bool bidirectional, at::IntArrayRef batch_sizes, bool batch_first, const at::Tensor & workspace) { |
| 4582 | return at::_ops::mkldnn_rnn_layer_backward::redispatch(dispatchKeySet, input, weight1, weight2, weight3, weight4, hx_, cx_tmp, output, hy_, cy_, grad_output, grad_hy, grad_cy, reverse, mode, hidden_size, num_layers, has_biases, train, bidirectional, batch_sizes, batch_first, workspace); |
| 4583 | } |
| 4584 | |
| 4585 | // aten::miopen_batch_norm(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon) -> (Tensor, Tensor, Tensor) |
| 4586 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> miopen_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon) { |
| 4587 | return at::_ops::miopen_batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon); |
| 4588 | } |
| 4589 | |
| 4590 | // aten::miopen_batch_norm_backward(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon) -> (Tensor, Tensor, Tensor) |
| 4591 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> miopen_batch_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon) { |
| 4592 | return at::_ops::miopen_batch_norm_backward::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon); |
| 4593 | } |
| 4594 | |
| 4595 | // aten::miopen_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor |
| 4596 | inline at::Tensor miopen_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 4597 | return at::_ops::miopen_convolution::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, benchmark, deterministic); |
| 4598 | } |
| 4599 | |
| 4600 | // aten::miopen_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor |
| 4601 | inline at::Tensor miopen_convolution_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 4602 | return at::_ops::miopen_convolution::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic); |
| 4603 | } |
| 4604 | |
| 4605 | // aten::miopen_convolution_transpose(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor |
| 4606 | inline at::Tensor miopen_convolution_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 4607 | return at::_ops::miopen_convolution_transpose::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), stride, dilation, groups, benchmark, deterministic); |
| 4608 | } |
| 4609 | |
| 4610 | // aten::miopen_convolution_transpose(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor |
| 4611 | inline at::Tensor miopen_convolution_transpose_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 4612 | return at::_ops::miopen_convolution_transpose::redispatch(dispatchKeySet, self, weight, bias, padding, output_padding, stride, dilation, groups, benchmark, deterministic); |
| 4613 | } |
| 4614 | |
| 4615 | // aten::miopen_depthwise_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor |
| 4616 | inline at::Tensor miopen_depthwise_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 4617 | return at::_ops::miopen_depthwise_convolution::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, benchmark, deterministic); |
| 4618 | } |
| 4619 | |
| 4620 | // aten::miopen_depthwise_convolution(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic) -> Tensor |
| 4621 | inline at::Tensor miopen_depthwise_convolution_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 4622 | return at::_ops::miopen_depthwise_convolution::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic); |
| 4623 | } |
| 4624 | |
| 4625 | // aten::miopen_convolution_relu(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor |
| 4626 | inline at::Tensor miopen_convolution_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 4627 | return at::_ops::miopen_convolution_relu::redispatch(dispatchKeySet, self, weight, bias, stride, padding, dilation, groups); |
| 4628 | } |
| 4629 | |
| 4630 | // aten::miopen_convolution_add_relu(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups) -> Tensor |
| 4631 | inline at::Tensor miopen_convolution_add_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & z, const c10::optional<at::Scalar> & alpha, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 4632 | return at::_ops::miopen_convolution_add_relu::redispatch(dispatchKeySet, self, weight, z, alpha, bias, stride, padding, dilation, groups); |
| 4633 | } |
| 4634 | |
| 4635 | // aten::miopen_rnn(Tensor input, Tensor[] weight, int weight_stride0, Tensor hx, Tensor? cx, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 4636 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> miopen_rnn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) { |
| 4637 | return at::_ops::miopen_rnn::redispatch(dispatchKeySet, input, weight, weight_stride0, hx, cx, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state); |
| 4638 | } |
| 4639 | |
| 4640 | // aten::miopen_rnn_backward(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask) -> (Tensor, Tensor, Tensor, Tensor[]) |
| 4641 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,::std::vector<at::Tensor>> miopen_rnn_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) { |
| 4642 | return at::_ops::miopen_rnn_backward::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask); |
| 4643 | } |
| 4644 | |
| 4645 | // aten::mm(Tensor self, Tensor mat2) -> Tensor |
| 4646 | inline at::Tensor mm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2) { |
| 4647 | return at::_ops::mm::redispatch(dispatchKeySet, self, mat2); |
| 4648 | } |
| 4649 | |
| 4650 | // aten::mm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!) |
| 4651 | inline at::Tensor & mm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat2) { |
| 4652 | return at::_ops::mm_out::redispatch(dispatchKeySet, self, mat2, out); |
| 4653 | } |
| 4654 | |
| 4655 | // aten::mm.out(Tensor self, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!) |
| 4656 | inline at::Tensor & mm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2, at::Tensor & out) { |
| 4657 | return at::_ops::mm_out::redispatch(dispatchKeySet, self, mat2, out); |
| 4658 | } |
| 4659 | |
| 4660 | // aten::_sparse_mm(Tensor sparse, Tensor dense) -> Tensor |
| 4661 | inline at::Tensor _sparse_mm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sparse, const at::Tensor & dense) { |
| 4662 | return at::_ops::_sparse_mm::redispatch(dispatchKeySet, sparse, dense); |
| 4663 | } |
| 4664 | |
| 4665 | // aten::_sparse_mm.reduce(Tensor sparse, Tensor dense, str reduce) -> Tensor |
| 4666 | inline at::Tensor _sparse_mm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sparse, const at::Tensor & dense, c10::string_view reduce) { |
| 4667 | return at::_ops::_sparse_mm_reduce::redispatch(dispatchKeySet, sparse, dense, reduce); |
| 4668 | } |
| 4669 | |
| 4670 | // aten::_sparse_sparse_matmul(Tensor self, Tensor other) -> Tensor |
| 4671 | inline at::Tensor _sparse_sparse_matmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 4672 | return at::_ops::_sparse_sparse_matmul::redispatch(dispatchKeySet, self, other); |
| 4673 | } |
| 4674 | |
| 4675 | // aten::mode(Tensor self, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4676 | inline ::std::tuple<at::Tensor,at::Tensor> mode(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1, bool keepdim=false) { |
| 4677 | return at::_ops::mode::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4678 | } |
| 4679 | |
| 4680 | // aten::mode.values(Tensor self, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4681 | inline ::std::tuple<at::Tensor &,at::Tensor &> mode_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim=-1, bool keepdim=false) { |
| 4682 | return at::_ops::mode_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4683 | } |
| 4684 | |
| 4685 | // aten::mode.values(Tensor self, int dim=-1, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4686 | inline ::std::tuple<at::Tensor &,at::Tensor &> mode_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 4687 | return at::_ops::mode_values::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4688 | } |
| 4689 | |
| 4690 | // aten::mode.dimname(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 4691 | inline ::std::tuple<at::Tensor,at::Tensor> mode(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4692 | return at::_ops::mode_dimname::redispatch(dispatchKeySet, self, dim, keepdim); |
| 4693 | } |
| 4694 | |
| 4695 | // aten::mode.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4696 | inline ::std::tuple<at::Tensor &,at::Tensor &> mode_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim=false) { |
| 4697 | return at::_ops::mode_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4698 | } |
| 4699 | |
| 4700 | // aten::mode.dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 4701 | inline ::std::tuple<at::Tensor &,at::Tensor &> mode_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 4702 | return at::_ops::mode_dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, values, indices); |
| 4703 | } |
| 4704 | |
| 4705 | // aten::mul.Tensor(Tensor self, Tensor other) -> Tensor |
| 4706 | inline at::Tensor mul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 4707 | return at::_ops::mul_Tensor::redispatch(dispatchKeySet, self, other); |
| 4708 | } |
| 4709 | |
| 4710 | // aten::mul_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4711 | inline at::Tensor & mul_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 4712 | return at::_ops::mul__Tensor::redispatch(dispatchKeySet, self, other); |
| 4713 | } |
| 4714 | |
| 4715 | // aten::mul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4716 | inline at::Tensor & mul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 4717 | return at::_ops::mul_out::redispatch(dispatchKeySet, self, other, out); |
| 4718 | } |
| 4719 | |
| 4720 | // aten::mul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4721 | inline at::Tensor & mul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4722 | return at::_ops::mul_out::redispatch(dispatchKeySet, self, other, out); |
| 4723 | } |
| 4724 | |
| 4725 | // aten::mul.Scalar(Tensor self, Scalar other) -> Tensor |
| 4726 | inline at::Tensor mul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 4727 | return at::_ops::mul_Scalar::redispatch(dispatchKeySet, self, other); |
| 4728 | } |
| 4729 | |
| 4730 | // aten::mul_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4731 | inline at::Tensor & mul_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 4732 | return at::_ops::mul__Scalar::redispatch(dispatchKeySet, self, other); |
| 4733 | } |
| 4734 | |
| 4735 | // aten::multiply.Tensor(Tensor self, Tensor other) -> Tensor |
| 4736 | inline at::Tensor multiply(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 4737 | return at::_ops::multiply_Tensor::redispatch(dispatchKeySet, self, other); |
| 4738 | } |
| 4739 | |
| 4740 | // aten::multiply_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4741 | inline at::Tensor & multiply_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 4742 | return at::_ops::multiply__Tensor::redispatch(dispatchKeySet, self, other); |
| 4743 | } |
| 4744 | |
| 4745 | // aten::multiply.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4746 | inline at::Tensor & multiply_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 4747 | return at::_ops::multiply_out::redispatch(dispatchKeySet, self, other, out); |
| 4748 | } |
| 4749 | |
| 4750 | // aten::multiply.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 4751 | inline at::Tensor & multiply_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4752 | return at::_ops::multiply_out::redispatch(dispatchKeySet, self, other, out); |
| 4753 | } |
| 4754 | |
| 4755 | // aten::multiply.Scalar(Tensor self, Scalar other) -> Tensor |
| 4756 | inline at::Tensor multiply(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 4757 | return at::_ops::multiply_Scalar::redispatch(dispatchKeySet, self, other); |
| 4758 | } |
| 4759 | |
| 4760 | // aten::multiply_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4761 | inline at::Tensor & multiply_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 4762 | return at::_ops::multiply__Scalar::redispatch(dispatchKeySet, self, other); |
| 4763 | } |
| 4764 | |
| 4765 | // aten::mv(Tensor self, Tensor vec) -> Tensor |
| 4766 | inline at::Tensor mv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec) { |
| 4767 | return at::_ops::mv::redispatch(dispatchKeySet, self, vec); |
| 4768 | } |
| 4769 | |
| 4770 | // aten::mv.out(Tensor self, Tensor vec, *, Tensor(a!) out) -> Tensor(a!) |
| 4771 | inline at::Tensor & mv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec) { |
| 4772 | return at::_ops::mv_out::redispatch(dispatchKeySet, self, vec, out); |
| 4773 | } |
| 4774 | |
| 4775 | // aten::mv.out(Tensor self, Tensor vec, *, Tensor(a!) out) -> Tensor(a!) |
| 4776 | inline at::Tensor & mv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec, at::Tensor & out) { |
| 4777 | return at::_ops::mv_out::redispatch(dispatchKeySet, self, vec, out); |
| 4778 | } |
| 4779 | |
| 4780 | // aten::mvlgamma.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!) |
| 4781 | inline at::Tensor & mvlgamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t p) { |
| 4782 | return at::_ops::mvlgamma_out::redispatch(dispatchKeySet, self, p, out); |
| 4783 | } |
| 4784 | |
| 4785 | // aten::mvlgamma.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!) |
| 4786 | inline at::Tensor & mvlgamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p, at::Tensor & out) { |
| 4787 | return at::_ops::mvlgamma_out::redispatch(dispatchKeySet, self, p, out); |
| 4788 | } |
| 4789 | |
| 4790 | // aten::mvlgamma(Tensor self, int p) -> Tensor |
| 4791 | inline at::Tensor mvlgamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p) { |
| 4792 | return at::_ops::mvlgamma::redispatch(dispatchKeySet, self, p); |
| 4793 | } |
| 4794 | |
| 4795 | // aten::mvlgamma_(Tensor(a!) self, int p) -> Tensor(a!) |
| 4796 | inline at::Tensor & mvlgamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t p) { |
| 4797 | return at::_ops::mvlgamma_::redispatch(dispatchKeySet, self, p); |
| 4798 | } |
| 4799 | |
| 4800 | // aten::narrow_copy(Tensor self, int dim, SymInt start, SymInt length) -> Tensor |
| 4801 | inline at::Tensor narrow_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t start, int64_t length) { |
| 4802 | return at::_ops::narrow_copy::redispatch(dispatchKeySet, self, dim, start, length); |
| 4803 | } |
| 4804 | |
| 4805 | // aten::narrow_copy(Tensor self, int dim, SymInt start, SymInt length) -> Tensor |
| 4806 | inline at::Tensor narrow_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::SymInt start, c10::SymInt length) { |
| 4807 | return at::_ops::narrow_copy::redispatch(dispatchKeySet, self, dim, start, length); |
| 4808 | } |
| 4809 | |
| 4810 | // aten::narrow_copy.out(Tensor self, int dim, SymInt start, SymInt length, *, Tensor(a!) out) -> Tensor(a!) |
| 4811 | inline at::Tensor & narrow_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, int64_t start, int64_t length) { |
| 4812 | return at::_ops::narrow_copy_out::redispatch(dispatchKeySet, self, dim, start, length, out); |
| 4813 | } |
| 4814 | |
| 4815 | // aten::narrow_copy.out(Tensor self, int dim, SymInt start, SymInt length, *, Tensor(a!) out) -> Tensor(a!) |
| 4816 | inline at::Tensor & narrow_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t start, int64_t length, at::Tensor & out) { |
| 4817 | return at::_ops::narrow_copy_out::redispatch(dispatchKeySet, self, dim, start, length, out); |
| 4818 | } |
| 4819 | |
| 4820 | // aten::narrow_copy.out(Tensor self, int dim, SymInt start, SymInt length, *, Tensor(a!) out) -> Tensor(a!) |
| 4821 | inline at::Tensor & narrow_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::SymInt start, c10::SymInt length) { |
| 4822 | return at::_ops::narrow_copy_out::redispatch(dispatchKeySet, self, dim, start, length, out); |
| 4823 | } |
| 4824 | |
| 4825 | // aten::narrow_copy.out(Tensor self, int dim, SymInt start, SymInt length, *, Tensor(a!) out) -> Tensor(a!) |
| 4826 | inline at::Tensor & narrow_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::SymInt start, c10::SymInt length, at::Tensor & out) { |
| 4827 | return at::_ops::narrow_copy_out::redispatch(dispatchKeySet, self, dim, start, length, out); |
| 4828 | } |
| 4829 | |
| 4830 | // aten::narrow(Tensor(a) self, int dim, SymInt start, SymInt length) -> Tensor(a) |
| 4831 | inline at::Tensor narrow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t start, int64_t length) { |
| 4832 | return at::_ops::narrow::redispatch(dispatchKeySet, self, dim, start, length); |
| 4833 | } |
| 4834 | |
| 4835 | // aten::narrow(Tensor(a) self, int dim, SymInt start, SymInt length) -> Tensor(a) |
| 4836 | inline at::Tensor narrow_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::SymInt start, c10::SymInt length) { |
| 4837 | return at::_ops::narrow::redispatch(dispatchKeySet, self, dim, start, length); |
| 4838 | } |
| 4839 | |
| 4840 | // aten::narrow.Tensor(Tensor(a) self, int dim, Tensor start, SymInt length) -> Tensor(a) |
| 4841 | inline at::Tensor narrow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & start, int64_t length) { |
| 4842 | return at::_ops::narrow_Tensor::redispatch(dispatchKeySet, self, dim, start, length); |
| 4843 | } |
| 4844 | |
| 4845 | // aten::narrow.Tensor(Tensor(a) self, int dim, Tensor start, SymInt length) -> Tensor(a) |
| 4846 | inline at::Tensor narrow_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & start, c10::SymInt length) { |
| 4847 | return at::_ops::narrow_Tensor::redispatch(dispatchKeySet, self, dim, start, length); |
| 4848 | } |
| 4849 | |
| 4850 | // aten::native_batch_norm(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps) -> (Tensor, Tensor, Tensor) |
| 4851 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_batch_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps) { |
| 4852 | return at::_ops::native_batch_norm::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps); |
| 4853 | } |
| 4854 | |
| 4855 | // aten::native_batch_norm.out(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, *, Tensor(a!) out, Tensor(b!) save_mean, Tensor(c!) save_invstd) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 4856 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_batch_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps) { |
| 4857 | return at::_ops::native_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, out, save_mean, save_invstd); |
| 4858 | } |
| 4859 | |
| 4860 | // aten::native_batch_norm.out(Tensor input, Tensor? weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float momentum, float eps, *, Tensor(a!) out, Tensor(b!) save_mean, Tensor(c!) save_invstd) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 4861 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_batch_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double momentum, double eps, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd) { |
| 4862 | return at::_ops::native_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, out, save_mean, save_invstd); |
| 4863 | } |
| 4864 | |
| 4865 | // aten::_native_batch_norm_legit(Tensor input, Tensor? weight, Tensor? bias, Tensor(a!) running_mean, Tensor(b!) running_var, bool training, float momentum, float eps) -> (Tensor, Tensor, Tensor) |
| 4866 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _native_batch_norm_legit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, at::Tensor & running_mean, at::Tensor & running_var, bool training, double momentum, double eps) { |
| 4867 | return at::_ops::_native_batch_norm_legit::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps); |
| 4868 | } |
| 4869 | |
| 4870 | // aten::_native_batch_norm_legit.out(Tensor input, Tensor? weight, Tensor? bias, Tensor(a!) running_mean, Tensor(b!) running_var, bool training, float momentum, float eps, *, Tensor(d!) out, Tensor(e!) save_mean, Tensor(f!) save_invstd) -> (Tensor(d!), Tensor(e!), Tensor(f!)) |
| 4871 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _native_batch_norm_legit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, at::Tensor & running_mean, at::Tensor & running_var, bool training, double momentum, double eps) { |
| 4872 | return at::_ops::_native_batch_norm_legit_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, out, save_mean, save_invstd); |
| 4873 | } |
| 4874 | |
| 4875 | // aten::_native_batch_norm_legit.out(Tensor input, Tensor? weight, Tensor? bias, Tensor(a!) running_mean, Tensor(b!) running_var, bool training, float momentum, float eps, *, Tensor(d!) out, Tensor(e!) save_mean, Tensor(f!) save_invstd) -> (Tensor(d!), Tensor(e!), Tensor(f!)) |
| 4876 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _native_batch_norm_legit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, at::Tensor & running_mean, at::Tensor & running_var, bool training, double momentum, double eps, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd) { |
| 4877 | return at::_ops::_native_batch_norm_legit_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps, out, save_mean, save_invstd); |
| 4878 | } |
| 4879 | |
| 4880 | // aten::_native_batch_norm_legit.no_stats(Tensor input, Tensor? weight, Tensor? bias, bool training, float momentum, float eps) -> (Tensor, Tensor, Tensor) |
| 4881 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _native_batch_norm_legit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, bool training, double momentum, double eps) { |
| 4882 | return at::_ops::_native_batch_norm_legit_no_stats::redispatch(dispatchKeySet, input, weight, bias, training, momentum, eps); |
| 4883 | } |
| 4884 | |
| 4885 | // aten::_native_batch_norm_legit.no_stats_out(Tensor input, Tensor? weight, Tensor? bias, bool training, float momentum, float eps, *, Tensor(a!) out, Tensor(b!) save_mean, Tensor(c!) save_invstd) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 4886 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _native_batch_norm_legit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, bool training, double momentum, double eps) { |
| 4887 | return at::_ops::_native_batch_norm_legit_no_stats_out::redispatch(dispatchKeySet, input, weight, bias, training, momentum, eps, out, save_mean, save_invstd); |
| 4888 | } |
| 4889 | |
| 4890 | // aten::_native_batch_norm_legit.no_stats_out(Tensor input, Tensor? weight, Tensor? bias, bool training, float momentum, float eps, *, Tensor(a!) out, Tensor(b!) save_mean, Tensor(c!) save_invstd) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 4891 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _native_batch_norm_legit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, bool training, double momentum, double eps, at::Tensor & out, at::Tensor & save_mean, at::Tensor & save_invstd) { |
| 4892 | return at::_ops::_native_batch_norm_legit_no_stats_out::redispatch(dispatchKeySet, input, weight, bias, training, momentum, eps, out, save_mean, save_invstd); |
| 4893 | } |
| 4894 | |
| 4895 | // aten::batch_norm_stats(Tensor input, float eps) -> (Tensor, Tensor) |
| 4896 | inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_stats(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double eps) { |
| 4897 | return at::_ops::batch_norm_stats::redispatch(dispatchKeySet, input, eps); |
| 4898 | } |
| 4899 | |
| 4900 | // aten::batch_norm_elemt(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor invstd, float eps) -> Tensor |
| 4901 | inline at::Tensor batch_norm_elemt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & invstd, double eps) { |
| 4902 | return at::_ops::batch_norm_elemt::redispatch(dispatchKeySet, input, weight, bias, mean, invstd, eps); |
| 4903 | } |
| 4904 | |
| 4905 | // aten::batch_norm_elemt.out(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor invstd, float eps, *, Tensor(a!) out) -> Tensor(a!) |
| 4906 | inline at::Tensor & batch_norm_elemt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & invstd, double eps) { |
| 4907 | return at::_ops::batch_norm_elemt_out::redispatch(dispatchKeySet, input, weight, bias, mean, invstd, eps, out); |
| 4908 | } |
| 4909 | |
| 4910 | // aten::batch_norm_elemt.out(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor invstd, float eps, *, Tensor(a!) out) -> Tensor(a!) |
| 4911 | inline at::Tensor & batch_norm_elemt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & invstd, double eps, at::Tensor & out) { |
| 4912 | return at::_ops::batch_norm_elemt_out::redispatch(dispatchKeySet, input, weight, bias, mean, invstd, eps, out); |
| 4913 | } |
| 4914 | |
| 4915 | // aten::batch_norm_gather_stats(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count) -> (Tensor, Tensor) |
| 4916 | inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_gather_stats(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, int64_t count) { |
| 4917 | return at::_ops::batch_norm_gather_stats::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, count); |
| 4918 | } |
| 4919 | |
| 4920 | // aten::batch_norm_gather_stats_with_counts(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, Tensor counts) -> (Tensor, Tensor) |
| 4921 | inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_gather_stats_with_counts(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, const at::Tensor & counts) { |
| 4922 | return at::_ops::batch_norm_gather_stats_with_counts::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, counts); |
| 4923 | } |
| 4924 | |
| 4925 | // aten::native_batch_norm_backward(Tensor grad_out, Tensor input, Tensor? weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_invstd, bool train, float eps, bool[3] output_mask) -> (Tensor, Tensor, Tensor) |
| 4926 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> native_batch_norm_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_invstd, bool train, double eps, ::std::array<bool,3> output_mask) { |
| 4927 | return at::_ops::native_batch_norm_backward::redispatch(dispatchKeySet, grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask); |
| 4928 | } |
| 4929 | |
| 4930 | // aten::batch_norm_backward_reduce(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, bool input_g, bool weight_g, bool bias_g) -> (Tensor, Tensor, Tensor, Tensor) |
| 4931 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> batch_norm_backward_reduce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, bool input_g, bool weight_g, bool bias_g) { |
| 4932 | return at::_ops::batch_norm_backward_reduce::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g); |
| 4933 | } |
| 4934 | |
| 4935 | // aten::batch_norm_backward_elemt(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count) -> Tensor |
| 4936 | inline at::Tensor batch_norm_backward_elemt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, const at::Tensor & mean_dy, const at::Tensor & mean_dy_xmu, const at::Tensor & count) { |
| 4937 | return at::_ops::batch_norm_backward_elemt::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count); |
| 4938 | } |
| 4939 | |
| 4940 | // aten::batch_norm_update_stats(Tensor input, Tensor? running_mean, Tensor? running_var, float momentum) -> (Tensor, Tensor) |
| 4941 | inline ::std::tuple<at::Tensor,at::Tensor> batch_norm_update_stats(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum) { |
| 4942 | return at::_ops::batch_norm_update_stats::redispatch(dispatchKeySet, input, running_mean, running_var, momentum); |
| 4943 | } |
| 4944 | |
| 4945 | // aten::is_vulkan_available() -> bool |
| 4946 | inline bool is_vulkan_available(c10::DispatchKeySet dispatchKeySet) { |
| 4947 | return at::_ops::is_vulkan_available::redispatch(dispatchKeySet); |
| 4948 | } |
| 4949 | |
| 4950 | // aten::_nnpack_available() -> bool |
| 4951 | inline bool _nnpack_available(c10::DispatchKeySet dispatchKeySet) { |
| 4952 | return at::_ops::_nnpack_available::redispatch(dispatchKeySet); |
| 4953 | } |
| 4954 | |
| 4955 | // aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1) -> Tensor |
| 4956 | inline at::Tensor _nnpack_spatial_convolution(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride=1) { |
| 4957 | return at::_ops::_nnpack_spatial_convolution::redispatch(dispatchKeySet, input, weight, bias, c10::fromIntArrayRefSlow(padding), stride); |
| 4958 | } |
| 4959 | |
| 4960 | // aten::_nnpack_spatial_convolution(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1) -> Tensor |
| 4961 | inline at::Tensor _nnpack_spatial_convolution_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride=1) { |
| 4962 | return at::_ops::_nnpack_spatial_convolution::redispatch(dispatchKeySet, input, weight, bias, padding, stride); |
| 4963 | } |
| 4964 | |
| 4965 | // aten::ones.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4966 | inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 4967 | return at::_ops::ones_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 4968 | } |
| 4969 | |
| 4970 | // aten::ones.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4971 | inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 4972 | return at::_ops::ones_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory); |
| 4973 | } |
| 4974 | |
| 4975 | // aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4976 | inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) { |
| 4977 | return at::_ops::ones::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 4978 | } |
| 4979 | |
| 4980 | // aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4981 | inline at::Tensor ones(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 4982 | return at::_ops::ones::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 4983 | } |
| 4984 | |
| 4985 | // aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4986 | inline at::Tensor ones_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 4987 | return at::_ops::ones::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 4988 | } |
| 4989 | |
| 4990 | // aten::ones(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 4991 | inline at::Tensor ones_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 4992 | return at::_ops::ones::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory); |
| 4993 | } |
| 4994 | |
| 4995 | // aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 4996 | inline at::Tensor & ones_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) { |
| 4997 | return at::_ops::ones_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 4998 | } |
| 4999 | |
| 5000 | // aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5001 | inline at::Tensor & ones_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) { |
| 5002 | return at::_ops::ones_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 5003 | } |
| 5004 | |
| 5005 | // aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5006 | inline at::Tensor & ones_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size) { |
| 5007 | return at::_ops::ones_out::redispatch(dispatchKeySet, size, out); |
| 5008 | } |
| 5009 | |
| 5010 | // aten::ones.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5011 | inline at::Tensor & ones_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::Tensor & out) { |
| 5012 | return at::_ops::ones_out::redispatch(dispatchKeySet, size, out); |
| 5013 | } |
| 5014 | |
| 5015 | // aten::ones_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5016 | inline at::Tensor ones_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 5017 | return at::_ops::ones_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 5018 | } |
| 5019 | |
| 5020 | // aten::ones_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5021 | inline at::Tensor ones_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 5022 | return at::_ops::ones_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format); |
| 5023 | } |
| 5024 | |
| 5025 | // aten::pairwise_distance(Tensor x1, Tensor x2, float p=2, float eps=1e-06, bool keepdim=False) -> Tensor |
| 5026 | inline at::Tensor pairwise_distance(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, double p=2, double eps=1e-06, bool keepdim=false) { |
| 5027 | return at::_ops::pairwise_distance::redispatch(dispatchKeySet, x1, x2, p, eps, keepdim); |
| 5028 | } |
| 5029 | |
| 5030 | // aten::cdist(Tensor x1, Tensor x2, float p=2, int? compute_mode=None) -> Tensor |
| 5031 | inline at::Tensor cdist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, double p=2, c10::optional<int64_t> compute_mode=c10::nullopt) { |
| 5032 | return at::_ops::cdist::redispatch(dispatchKeySet, x1, x2, p, compute_mode); |
| 5033 | } |
| 5034 | |
| 5035 | // aten::_euclidean_dist(Tensor x1, Tensor x2) -> Tensor |
| 5036 | inline at::Tensor _euclidean_dist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2) { |
| 5037 | return at::_ops::_euclidean_dist::redispatch(dispatchKeySet, x1, x2); |
| 5038 | } |
| 5039 | |
| 5040 | // aten::_cdist_forward(Tensor x1, Tensor x2, float p, int? compute_mode) -> Tensor |
| 5041 | inline at::Tensor _cdist_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, double p, c10::optional<int64_t> compute_mode) { |
| 5042 | return at::_ops::_cdist_forward::redispatch(dispatchKeySet, x1, x2, p, compute_mode); |
| 5043 | } |
| 5044 | |
| 5045 | // aten::_cdist_backward(Tensor grad, Tensor x1, Tensor x2, float p, Tensor cdist) -> Tensor |
| 5046 | inline at::Tensor _cdist_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & x1, const at::Tensor & x2, double p, const at::Tensor & cdist) { |
| 5047 | return at::_ops::_cdist_backward::redispatch(dispatchKeySet, grad, x1, x2, p, cdist); |
| 5048 | } |
| 5049 | |
| 5050 | // aten::pdist(Tensor self, float p=2) -> Tensor |
| 5051 | inline at::Tensor pdist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p=2) { |
| 5052 | return at::_ops::pdist::redispatch(dispatchKeySet, self, p); |
| 5053 | } |
| 5054 | |
| 5055 | // aten::_pdist_forward(Tensor self, float p=2) -> Tensor |
| 5056 | inline at::Tensor _pdist_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p=2) { |
| 5057 | return at::_ops::_pdist_forward::redispatch(dispatchKeySet, self, p); |
| 5058 | } |
| 5059 | |
| 5060 | // aten::_pdist_backward(Tensor grad, Tensor self, float p, Tensor pdist) -> Tensor |
| 5061 | inline at::Tensor _pdist_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, double p, const at::Tensor & pdist) { |
| 5062 | return at::_ops::_pdist_backward::redispatch(dispatchKeySet, grad, self, p, pdist); |
| 5063 | } |
| 5064 | |
| 5065 | // aten::cosine_similarity(Tensor x1, Tensor x2, int dim=1, float eps=1e-08) -> Tensor |
| 5066 | inline at::Tensor cosine_similarity(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, int64_t dim=1, double eps=1e-08) { |
| 5067 | return at::_ops::cosine_similarity::redispatch(dispatchKeySet, x1, x2, dim, eps); |
| 5068 | } |
| 5069 | |
| 5070 | // aten::permute(Tensor(a) self, int[] dims) -> Tensor(a) |
| 5071 | inline at::Tensor permute(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims) { |
| 5072 | return at::_ops::permute::redispatch(dispatchKeySet, self, dims); |
| 5073 | } |
| 5074 | |
| 5075 | // aten::movedim.intlist(Tensor(a) self, int[] source, int[] destination) -> Tensor(a) |
| 5076 | inline at::Tensor movedim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) { |
| 5077 | return at::_ops::movedim_intlist::redispatch(dispatchKeySet, self, source, destination); |
| 5078 | } |
| 5079 | |
| 5080 | // aten::movedim.int(Tensor(a) self, int source, int destination) -> Tensor(a) |
| 5081 | inline at::Tensor movedim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t source, int64_t destination) { |
| 5082 | return at::_ops::movedim_int::redispatch(dispatchKeySet, self, source, destination); |
| 5083 | } |
| 5084 | |
| 5085 | // aten::moveaxis.intlist(Tensor(a) self, int[] source, int[] destination) -> Tensor(a) |
| 5086 | inline at::Tensor moveaxis(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) { |
| 5087 | return at::_ops::moveaxis_intlist::redispatch(dispatchKeySet, self, source, destination); |
| 5088 | } |
| 5089 | |
| 5090 | // aten::moveaxis.int(Tensor(a) self, int source, int destination) -> Tensor(a) |
| 5091 | inline at::Tensor moveaxis(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t source, int64_t destination) { |
| 5092 | return at::_ops::moveaxis_int::redispatch(dispatchKeySet, self, source, destination); |
| 5093 | } |
| 5094 | |
| 5095 | // aten::numpy_T(Tensor(a) self) -> Tensor(a) |
| 5096 | inline at::Tensor numpy_T(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5097 | return at::_ops::numpy_T::redispatch(dispatchKeySet, self); |
| 5098 | } |
| 5099 | |
| 5100 | // aten::matrix_H(Tensor(a) self) -> Tensor(a) |
| 5101 | inline at::Tensor matrix_H(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5102 | return at::_ops::matrix_H::redispatch(dispatchKeySet, self); |
| 5103 | } |
| 5104 | |
| 5105 | // aten::mT(Tensor(a) self) -> Tensor(a) |
| 5106 | inline at::Tensor mT(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5107 | return at::_ops::mT::redispatch(dispatchKeySet, self); |
| 5108 | } |
| 5109 | |
| 5110 | // aten::mH(Tensor(a) self) -> Tensor(a) |
| 5111 | inline at::Tensor mH(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5112 | return at::_ops::mH::redispatch(dispatchKeySet, self); |
| 5113 | } |
| 5114 | |
| 5115 | // aten::adjoint(Tensor(a) self) -> Tensor(a) |
| 5116 | inline at::Tensor adjoint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5117 | return at::_ops::adjoint::redispatch(dispatchKeySet, self); |
| 5118 | } |
| 5119 | |
| 5120 | // aten::pixel_shuffle(Tensor self, int upscale_factor) -> Tensor |
| 5121 | inline at::Tensor pixel_shuffle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t upscale_factor) { |
| 5122 | return at::_ops::pixel_shuffle::redispatch(dispatchKeySet, self, upscale_factor); |
| 5123 | } |
| 5124 | |
| 5125 | // aten::pixel_unshuffle(Tensor self, int downscale_factor) -> Tensor |
| 5126 | inline at::Tensor pixel_unshuffle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t downscale_factor) { |
| 5127 | return at::_ops::pixel_unshuffle::redispatch(dispatchKeySet, self, downscale_factor); |
| 5128 | } |
| 5129 | |
| 5130 | // aten::channel_shuffle(Tensor self, int groups) -> Tensor |
| 5131 | inline at::Tensor channel_shuffle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t groups) { |
| 5132 | return at::_ops::channel_shuffle::redispatch(dispatchKeySet, self, groups); |
| 5133 | } |
| 5134 | |
| 5135 | // aten::native_channel_shuffle(Tensor self, int groups) -> Tensor |
| 5136 | inline at::Tensor native_channel_shuffle(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t groups) { |
| 5137 | return at::_ops::native_channel_shuffle::redispatch(dispatchKeySet, self, groups); |
| 5138 | } |
| 5139 | |
| 5140 | // aten::is_pinned(Tensor self, Device? device=None) -> bool |
| 5141 | inline bool is_pinned(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Device> device=c10::nullopt) { |
| 5142 | return at::_ops::is_pinned::redispatch(dispatchKeySet, self, device); |
| 5143 | } |
| 5144 | |
| 5145 | // aten::pin_memory(Tensor(a) self, Device? device=None) -> Tensor(a) |
| 5146 | inline at::Tensor pin_memory(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Device> device=c10::nullopt) { |
| 5147 | return at::_ops::pin_memory::redispatch(dispatchKeySet, self, device); |
| 5148 | } |
| 5149 | |
| 5150 | // aten::_pin_memory(Tensor self, Device? device=None) -> Tensor |
| 5151 | inline at::Tensor _pin_memory(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Device> device=c10::nullopt) { |
| 5152 | return at::_ops::_pin_memory::redispatch(dispatchKeySet, self, device); |
| 5153 | } |
| 5154 | |
| 5155 | // aten::pinverse(Tensor self, float rcond=1e-15) -> Tensor |
| 5156 | inline at::Tensor pinverse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double rcond=1e-15) { |
| 5157 | return at::_ops::pinverse::redispatch(dispatchKeySet, self, rcond); |
| 5158 | } |
| 5159 | |
| 5160 | // aten::poisson_nll_loss(Tensor input, Tensor target, bool log_input, bool full, float eps, int reduction) -> Tensor |
| 5161 | inline at::Tensor poisson_nll_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & target, bool log_input, bool full, double eps, int64_t reduction) { |
| 5162 | return at::_ops::poisson_nll_loss::redispatch(dispatchKeySet, input, target, log_input, full, eps, reduction); |
| 5163 | } |
| 5164 | |
| 5165 | // aten::rad2deg(Tensor self) -> Tensor |
| 5166 | inline at::Tensor rad2deg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5167 | return at::_ops::rad2deg::redispatch(dispatchKeySet, self); |
| 5168 | } |
| 5169 | |
| 5170 | // aten::rad2deg_(Tensor(a!) self) -> Tensor(a!) |
| 5171 | inline at::Tensor & rad2deg_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5172 | return at::_ops::rad2deg_::redispatch(dispatchKeySet, self); |
| 5173 | } |
| 5174 | |
| 5175 | // aten::rad2deg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5176 | inline at::Tensor & rad2deg_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 5177 | return at::_ops::rad2deg_out::redispatch(dispatchKeySet, self, out); |
| 5178 | } |
| 5179 | |
| 5180 | // aten::rad2deg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5181 | inline at::Tensor & rad2deg_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 5182 | return at::_ops::rad2deg_out::redispatch(dispatchKeySet, self, out); |
| 5183 | } |
| 5184 | |
| 5185 | // aten::deg2rad(Tensor self) -> Tensor |
| 5186 | inline at::Tensor deg2rad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5187 | return at::_ops::deg2rad::redispatch(dispatchKeySet, self); |
| 5188 | } |
| 5189 | |
| 5190 | // aten::deg2rad_(Tensor(a!) self) -> Tensor(a!) |
| 5191 | inline at::Tensor & deg2rad_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5192 | return at::_ops::deg2rad_::redispatch(dispatchKeySet, self); |
| 5193 | } |
| 5194 | |
| 5195 | // aten::deg2rad.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5196 | inline at::Tensor & deg2rad_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 5197 | return at::_ops::deg2rad_out::redispatch(dispatchKeySet, self, out); |
| 5198 | } |
| 5199 | |
| 5200 | // aten::deg2rad.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5201 | inline at::Tensor & deg2rad_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 5202 | return at::_ops::deg2rad_out::redispatch(dispatchKeySet, self, out); |
| 5203 | } |
| 5204 | |
| 5205 | // aten::scalar_tensor(Scalar s, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5206 | inline at::Tensor scalar_tensor(c10::DispatchKeySet dispatchKeySet, const at::Scalar & s, at::TensorOptions options={}) { |
| 5207 | return at::_ops::scalar_tensor::redispatch(dispatchKeySet, s, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5208 | } |
| 5209 | |
| 5210 | // aten::scalar_tensor(Scalar s, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5211 | inline at::Tensor scalar_tensor(c10::DispatchKeySet dispatchKeySet, const at::Scalar & s, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5212 | return at::_ops::scalar_tensor::redispatch(dispatchKeySet, s, dtype, layout, device, pin_memory); |
| 5213 | } |
| 5214 | |
| 5215 | // aten::rand.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5216 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5217 | return at::_ops::rand_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5218 | } |
| 5219 | |
| 5220 | // aten::rand.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5221 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5222 | return at::_ops::rand_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, dtype, layout, device, pin_memory); |
| 5223 | } |
| 5224 | |
| 5225 | // aten::rand.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5226 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5227 | return at::_ops::rand_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5228 | } |
| 5229 | |
| 5230 | // aten::rand.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5231 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5232 | return at::_ops::rand_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory); |
| 5233 | } |
| 5234 | |
| 5235 | // aten::rand.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5236 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5237 | return at::_ops::rand_generator_with_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5238 | } |
| 5239 | |
| 5240 | // aten::rand.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5241 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5242 | return at::_ops::rand_generator_with_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, dtype, layout, device, pin_memory); |
| 5243 | } |
| 5244 | |
| 5245 | // aten::rand.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5246 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5247 | return at::_ops::rand_generator_with_names::redispatch(dispatchKeySet, size, generator, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5248 | } |
| 5249 | |
| 5250 | // aten::rand.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5251 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5252 | return at::_ops::rand_generator_with_names::redispatch(dispatchKeySet, size, generator, names, dtype, layout, device, pin_memory); |
| 5253 | } |
| 5254 | |
| 5255 | // aten::rand(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5256 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) { |
| 5257 | return at::_ops::rand::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5258 | } |
| 5259 | |
| 5260 | // aten::rand(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5261 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5262 | return at::_ops::rand::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 5263 | } |
| 5264 | |
| 5265 | // aten::rand(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5266 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 5267 | return at::_ops::rand::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5268 | } |
| 5269 | |
| 5270 | // aten::rand(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5271 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5272 | return at::_ops::rand::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory); |
| 5273 | } |
| 5274 | |
| 5275 | // aten::rand.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5276 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) { |
| 5277 | return at::_ops::rand_generator::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5278 | } |
| 5279 | |
| 5280 | // aten::rand.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5281 | inline at::Tensor rand(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5282 | return at::_ops::rand_generator::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, dtype, layout, device, pin_memory); |
| 5283 | } |
| 5284 | |
| 5285 | // aten::rand.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5286 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) { |
| 5287 | return at::_ops::rand_generator::redispatch(dispatchKeySet, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5288 | } |
| 5289 | |
| 5290 | // aten::rand.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5291 | inline at::Tensor rand_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5292 | return at::_ops::rand_generator::redispatch(dispatchKeySet, size, generator, dtype, layout, device, pin_memory); |
| 5293 | } |
| 5294 | |
| 5295 | // aten::rand.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5296 | inline at::Tensor & rand_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) { |
| 5297 | return at::_ops::rand_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 5298 | } |
| 5299 | |
| 5300 | // aten::rand.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5301 | inline at::Tensor & rand_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) { |
| 5302 | return at::_ops::rand_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 5303 | } |
| 5304 | |
| 5305 | // aten::rand.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5306 | inline at::Tensor & rand_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size) { |
| 5307 | return at::_ops::rand_out::redispatch(dispatchKeySet, size, out); |
| 5308 | } |
| 5309 | |
| 5310 | // aten::rand.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5311 | inline at::Tensor & rand_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::Tensor & out) { |
| 5312 | return at::_ops::rand_out::redispatch(dispatchKeySet, size, out); |
| 5313 | } |
| 5314 | |
| 5315 | // aten::rand.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5316 | inline at::Tensor & rand_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator) { |
| 5317 | return at::_ops::rand_generator_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, out); |
| 5318 | } |
| 5319 | |
| 5320 | // aten::rand.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5321 | inline at::Tensor & rand_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5322 | return at::_ops::rand_generator_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, out); |
| 5323 | } |
| 5324 | |
| 5325 | // aten::rand.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5326 | inline at::Tensor & rand_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::Generator> generator) { |
| 5327 | return at::_ops::rand_generator_out::redispatch(dispatchKeySet, size, generator, out); |
| 5328 | } |
| 5329 | |
| 5330 | // aten::rand.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5331 | inline at::Tensor & rand_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5332 | return at::_ops::rand_generator_out::redispatch(dispatchKeySet, size, generator, out); |
| 5333 | } |
| 5334 | |
| 5335 | // aten::rand_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5336 | inline at::Tensor rand_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 5337 | return at::_ops::rand_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 5338 | } |
| 5339 | |
| 5340 | // aten::rand_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5341 | inline at::Tensor rand_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 5342 | return at::_ops::rand_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format); |
| 5343 | } |
| 5344 | |
| 5345 | // aten::randint(int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5346 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, at::TensorOptions options=at::kLong) { |
| 5347 | return at::_ops::randint::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5348 | } |
| 5349 | |
| 5350 | // aten::randint(int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5351 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5352 | return at::_ops::randint::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 5353 | } |
| 5354 | |
| 5355 | // aten::randint(int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5356 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t high, c10::SymIntArrayRef size, at::TensorOptions options=at::kLong) { |
| 5357 | return at::_ops::randint::redispatch(dispatchKeySet, high, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5358 | } |
| 5359 | |
| 5360 | // aten::randint(int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5361 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t high, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5362 | return at::_ops::randint::redispatch(dispatchKeySet, high, size, dtype, layout, device, pin_memory); |
| 5363 | } |
| 5364 | |
| 5365 | // aten::randint.generator(int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5366 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options=at::kLong) { |
| 5367 | return at::_ops::randint_generator::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5368 | } |
| 5369 | |
| 5370 | // aten::randint.generator(int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5371 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5372 | return at::_ops::randint_generator::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), generator, dtype, layout, device, pin_memory); |
| 5373 | } |
| 5374 | |
| 5375 | // aten::randint.generator(int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5376 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options=at::kLong) { |
| 5377 | return at::_ops::randint_generator::redispatch(dispatchKeySet, high, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5378 | } |
| 5379 | |
| 5380 | // aten::randint.generator(int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5381 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5382 | return at::_ops::randint_generator::redispatch(dispatchKeySet, high, size, generator, dtype, layout, device, pin_memory); |
| 5383 | } |
| 5384 | |
| 5385 | // aten::randint.low(int low, int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5386 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, at::TensorOptions options=at::kLong) { |
| 5387 | return at::_ops::randint_low::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5388 | } |
| 5389 | |
| 5390 | // aten::randint.low(int low, int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5391 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5392 | return at::_ops::randint_low::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 5393 | } |
| 5394 | |
| 5395 | // aten::randint.low(int low, int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5396 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, c10::SymIntArrayRef size, at::TensorOptions options=at::kLong) { |
| 5397 | return at::_ops::randint_low::redispatch(dispatchKeySet, low, high, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5398 | } |
| 5399 | |
| 5400 | // aten::randint.low(int low, int high, SymInt[] size, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5401 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5402 | return at::_ops::randint_low::redispatch(dispatchKeySet, low, high, size, dtype, layout, device, pin_memory); |
| 5403 | } |
| 5404 | |
| 5405 | // aten::randint.low_generator(int low, int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5406 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options=at::kLong) { |
| 5407 | return at::_ops::randint_low_generator::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5408 | } |
| 5409 | |
| 5410 | // aten::randint.low_generator(int low, int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5411 | inline at::Tensor randint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5412 | return at::_ops::randint_low_generator::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), generator, dtype, layout, device, pin_memory); |
| 5413 | } |
| 5414 | |
| 5415 | // aten::randint.low_generator(int low, int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5416 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options=at::kLong) { |
| 5417 | return at::_ops::randint_low_generator::redispatch(dispatchKeySet, low, high, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5418 | } |
| 5419 | |
| 5420 | // aten::randint.low_generator(int low, int high, SymInt[] size, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5421 | inline at::Tensor randint_symint(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5422 | return at::_ops::randint_low_generator::redispatch(dispatchKeySet, low, high, size, generator, dtype, layout, device, pin_memory); |
| 5423 | } |
| 5424 | |
| 5425 | // aten::randint.out(int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5426 | inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t high, at::IntArrayRef size) { |
| 5427 | return at::_ops::randint_out::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), out); |
| 5428 | } |
| 5429 | |
| 5430 | // aten::randint.out(int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5431 | inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, at::Tensor & out) { |
| 5432 | return at::_ops::randint_out::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), out); |
| 5433 | } |
| 5434 | |
| 5435 | // aten::randint.out(int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5436 | inline at::Tensor & randint_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t high, c10::SymIntArrayRef size) { |
| 5437 | return at::_ops::randint_out::redispatch(dispatchKeySet, high, size, out); |
| 5438 | } |
| 5439 | |
| 5440 | // aten::randint.out(int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5441 | inline at::Tensor & randint_symint_outf(c10::DispatchKeySet dispatchKeySet, int64_t high, c10::SymIntArrayRef size, at::Tensor & out) { |
| 5442 | return at::_ops::randint_out::redispatch(dispatchKeySet, high, size, out); |
| 5443 | } |
| 5444 | |
| 5445 | // aten::randint.generator_out(int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5446 | inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator) { |
| 5447 | return at::_ops::randint_generator_out::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), generator, out); |
| 5448 | } |
| 5449 | |
| 5450 | // aten::randint.generator_out(int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5451 | inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5452 | return at::_ops::randint_generator_out::redispatch(dispatchKeySet, high, c10::fromIntArrayRefSlow(size), generator, out); |
| 5453 | } |
| 5454 | |
| 5455 | // aten::randint.generator_out(int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5456 | inline at::Tensor & randint_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator) { |
| 5457 | return at::_ops::randint_generator_out::redispatch(dispatchKeySet, high, size, generator, out); |
| 5458 | } |
| 5459 | |
| 5460 | // aten::randint.generator_out(int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5461 | inline at::Tensor & randint_symint_outf(c10::DispatchKeySet dispatchKeySet, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5462 | return at::_ops::randint_generator_out::redispatch(dispatchKeySet, high, size, generator, out); |
| 5463 | } |
| 5464 | |
| 5465 | // aten::randint.low_out(int low, int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5466 | inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t low, int64_t high, at::IntArrayRef size) { |
| 5467 | return at::_ops::randint_low_out::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), out); |
| 5468 | } |
| 5469 | |
| 5470 | // aten::randint.low_out(int low, int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5471 | inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, at::Tensor & out) { |
| 5472 | return at::_ops::randint_low_out::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), out); |
| 5473 | } |
| 5474 | |
| 5475 | // aten::randint.low_out(int low, int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5476 | inline at::Tensor & randint_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t low, int64_t high, c10::SymIntArrayRef size) { |
| 5477 | return at::_ops::randint_low_out::redispatch(dispatchKeySet, low, high, size, out); |
| 5478 | } |
| 5479 | |
| 5480 | // aten::randint.low_out(int low, int high, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5481 | inline at::Tensor & randint_symint_outf(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, c10::SymIntArrayRef size, at::Tensor & out) { |
| 5482 | return at::_ops::randint_low_out::redispatch(dispatchKeySet, low, high, size, out); |
| 5483 | } |
| 5484 | |
| 5485 | // aten::randint.low_generator_out(int low, int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5486 | inline at::Tensor & randint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator) { |
| 5487 | return at::_ops::randint_low_generator_out::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), generator, out); |
| 5488 | } |
| 5489 | |
| 5490 | // aten::randint.low_generator_out(int low, int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5491 | inline at::Tensor & randint_outf(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5492 | return at::_ops::randint_low_generator_out::redispatch(dispatchKeySet, low, high, c10::fromIntArrayRefSlow(size), generator, out); |
| 5493 | } |
| 5494 | |
| 5495 | // aten::randint.low_generator_out(int low, int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5496 | inline at::Tensor & randint_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t low, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator) { |
| 5497 | return at::_ops::randint_low_generator_out::redispatch(dispatchKeySet, low, high, size, generator, out); |
| 5498 | } |
| 5499 | |
| 5500 | // aten::randint.low_generator_out(int low, int high, SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5501 | inline at::Tensor & randint_symint_outf(c10::DispatchKeySet dispatchKeySet, int64_t low, int64_t high, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5502 | return at::_ops::randint_low_generator_out::redispatch(dispatchKeySet, low, high, size, generator, out); |
| 5503 | } |
| 5504 | |
| 5505 | // aten::randint_like(Tensor self, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5506 | inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t high, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 5507 | return at::_ops::randint_like::redispatch(dispatchKeySet, self, high, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 5508 | } |
| 5509 | |
| 5510 | // aten::randint_like(Tensor self, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5511 | inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t high, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 5512 | return at::_ops::randint_like::redispatch(dispatchKeySet, self, high, dtype, layout, device, pin_memory, memory_format); |
| 5513 | } |
| 5514 | |
| 5515 | // aten::randint_like.low_dtype(Tensor self, int low, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5516 | inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t low, int64_t high, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 5517 | return at::_ops::randint_like_low_dtype::redispatch(dispatchKeySet, self, low, high, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 5518 | } |
| 5519 | |
| 5520 | // aten::randint_like.low_dtype(Tensor self, int low, int high, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5521 | inline at::Tensor randint_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t low, int64_t high, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 5522 | return at::_ops::randint_like_low_dtype::redispatch(dispatchKeySet, self, low, high, dtype, layout, device, pin_memory, memory_format); |
| 5523 | } |
| 5524 | |
| 5525 | // aten::randn(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5526 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) { |
| 5527 | return at::_ops::randn::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5528 | } |
| 5529 | |
| 5530 | // aten::randn(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5531 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5532 | return at::_ops::randn::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 5533 | } |
| 5534 | |
| 5535 | // aten::randn(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5536 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 5537 | return at::_ops::randn::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5538 | } |
| 5539 | |
| 5540 | // aten::randn(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5541 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5542 | return at::_ops::randn::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory); |
| 5543 | } |
| 5544 | |
| 5545 | // aten::randn.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5546 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) { |
| 5547 | return at::_ops::randn_generator::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5548 | } |
| 5549 | |
| 5550 | // aten::randn.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5551 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5552 | return at::_ops::randn_generator::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, dtype, layout, device, pin_memory); |
| 5553 | } |
| 5554 | |
| 5555 | // aten::randn.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5556 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::TensorOptions options={}) { |
| 5557 | return at::_ops::randn_generator::redispatch(dispatchKeySet, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5558 | } |
| 5559 | |
| 5560 | // aten::randn.generator(SymInt[] size, *, Generator? generator, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5561 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5562 | return at::_ops::randn_generator::redispatch(dispatchKeySet, size, generator, dtype, layout, device, pin_memory); |
| 5563 | } |
| 5564 | |
| 5565 | // aten::randn.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5566 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5567 | return at::_ops::randn_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5568 | } |
| 5569 | |
| 5570 | // aten::randn.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5571 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5572 | return at::_ops::randn_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, dtype, layout, device, pin_memory); |
| 5573 | } |
| 5574 | |
| 5575 | // aten::randn.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5576 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5577 | return at::_ops::randn_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5578 | } |
| 5579 | |
| 5580 | // aten::randn.names(SymInt[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5581 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5582 | return at::_ops::randn_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory); |
| 5583 | } |
| 5584 | |
| 5585 | // aten::randn.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5586 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5587 | return at::_ops::randn_generator_with_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5588 | } |
| 5589 | |
| 5590 | // aten::randn.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5591 | inline at::Tensor randn(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5592 | return at::_ops::randn_generator_with_names::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, dtype, layout, device, pin_memory); |
| 5593 | } |
| 5594 | |
| 5595 | // aten::randn.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5596 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 5597 | return at::_ops::randn_generator_with_names::redispatch(dispatchKeySet, size, generator, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5598 | } |
| 5599 | |
| 5600 | // aten::randn.generator_with_names(SymInt[] size, *, Generator? generator, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5601 | inline at::Tensor randn_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5602 | return at::_ops::randn_generator_with_names::redispatch(dispatchKeySet, size, generator, names, dtype, layout, device, pin_memory); |
| 5603 | } |
| 5604 | |
| 5605 | // aten::randn.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5606 | inline at::Tensor & randn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) { |
| 5607 | return at::_ops::randn_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 5608 | } |
| 5609 | |
| 5610 | // aten::randn.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5611 | inline at::Tensor & randn_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) { |
| 5612 | return at::_ops::randn_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 5613 | } |
| 5614 | |
| 5615 | // aten::randn.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5616 | inline at::Tensor & randn_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size) { |
| 5617 | return at::_ops::randn_out::redispatch(dispatchKeySet, size, out); |
| 5618 | } |
| 5619 | |
| 5620 | // aten::randn.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 5621 | inline at::Tensor & randn_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::Tensor & out) { |
| 5622 | return at::_ops::randn_out::redispatch(dispatchKeySet, size, out); |
| 5623 | } |
| 5624 | |
| 5625 | // aten::randn.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5626 | inline at::Tensor & randn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator) { |
| 5627 | return at::_ops::randn_generator_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, out); |
| 5628 | } |
| 5629 | |
| 5630 | // aten::randn.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5631 | inline at::Tensor & randn_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5632 | return at::_ops::randn_generator_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, out); |
| 5633 | } |
| 5634 | |
| 5635 | // aten::randn.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5636 | inline at::Tensor & randn_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::Generator> generator) { |
| 5637 | return at::_ops::randn_generator_out::redispatch(dispatchKeySet, size, generator, out); |
| 5638 | } |
| 5639 | |
| 5640 | // aten::randn.generator_out(SymInt[] size, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5641 | inline at::Tensor & randn_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5642 | return at::_ops::randn_generator_out::redispatch(dispatchKeySet, size, generator, out); |
| 5643 | } |
| 5644 | |
| 5645 | // aten::randn_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5646 | inline at::Tensor randn_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 5647 | return at::_ops::randn_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 5648 | } |
| 5649 | |
| 5650 | // aten::randn_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 5651 | inline at::Tensor randn_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 5652 | return at::_ops::randn_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format); |
| 5653 | } |
| 5654 | |
| 5655 | // aten::randperm(int n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5656 | inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, at::TensorOptions options=at::kLong) { |
| 5657 | return at::_ops::randperm::redispatch(dispatchKeySet, n, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5658 | } |
| 5659 | |
| 5660 | // aten::randperm(int n, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5661 | inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5662 | return at::_ops::randperm::redispatch(dispatchKeySet, n, dtype, layout, device, pin_memory); |
| 5663 | } |
| 5664 | |
| 5665 | // aten::randperm.generator(int n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5666 | inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::Generator> generator, at::TensorOptions options=at::kLong) { |
| 5667 | return at::_ops::randperm_generator::redispatch(dispatchKeySet, n, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5668 | } |
| 5669 | |
| 5670 | // aten::randperm.generator(int n, *, Generator? generator, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5671 | inline at::Tensor randperm(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5672 | return at::_ops::randperm_generator::redispatch(dispatchKeySet, n, generator, dtype, layout, device, pin_memory); |
| 5673 | } |
| 5674 | |
| 5675 | // aten::randperm.out(int n, *, Tensor(a!) out) -> Tensor(a!) |
| 5676 | inline at::Tensor & randperm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n) { |
| 5677 | return at::_ops::randperm_out::redispatch(dispatchKeySet, n, out); |
| 5678 | } |
| 5679 | |
| 5680 | // aten::randperm.out(int n, *, Tensor(a!) out) -> Tensor(a!) |
| 5681 | inline at::Tensor & randperm_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, at::Tensor & out) { |
| 5682 | return at::_ops::randperm_out::redispatch(dispatchKeySet, n, out); |
| 5683 | } |
| 5684 | |
| 5685 | // aten::randperm.generator_out(int n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5686 | inline at::Tensor & randperm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, c10::optional<at::Generator> generator) { |
| 5687 | return at::_ops::randperm_generator_out::redispatch(dispatchKeySet, n, generator, out); |
| 5688 | } |
| 5689 | |
| 5690 | // aten::randperm.generator_out(int n, *, Generator? generator, Tensor(a!) out) -> Tensor(a!) |
| 5691 | inline at::Tensor & randperm_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 5692 | return at::_ops::randperm_generator_out::redispatch(dispatchKeySet, n, generator, out); |
| 5693 | } |
| 5694 | |
| 5695 | // aten::range.step(Scalar start, Scalar end, Scalar step=1, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5696 | inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step=1, at::TensorOptions options={}) { |
| 5697 | return at::_ops::range_step::redispatch(dispatchKeySet, start, end, step, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5698 | } |
| 5699 | |
| 5700 | // aten::range.step(Scalar start, Scalar end, Scalar step=1, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5701 | inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5702 | return at::_ops::range_step::redispatch(dispatchKeySet, start, end, step, dtype, layout, device, pin_memory); |
| 5703 | } |
| 5704 | |
| 5705 | // aten::range(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5706 | inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, at::TensorOptions options={}) { |
| 5707 | return at::_ops::range::redispatch(dispatchKeySet, start, end, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 5708 | } |
| 5709 | |
| 5710 | // aten::range(Scalar start, Scalar end, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 5711 | inline at::Tensor range(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 5712 | return at::_ops::range::redispatch(dispatchKeySet, start, end, dtype, layout, device, pin_memory); |
| 5713 | } |
| 5714 | |
| 5715 | // aten::range.out_(Scalar start, Scalar end, *, Tensor(a!) out) -> Tensor(a!) |
| 5716 | inline at::Tensor & range_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end) { |
| 5717 | return at::_ops::range_out_::redispatch(dispatchKeySet, start, end, out); |
| 5718 | } |
| 5719 | |
| 5720 | // aten::range.out_(Scalar start, Scalar end, *, Tensor(a!) out) -> Tensor(a!) |
| 5721 | inline at::Tensor & range_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, at::Tensor & out) { |
| 5722 | return at::_ops::range_out_::redispatch(dispatchKeySet, start, end, out); |
| 5723 | } |
| 5724 | |
| 5725 | // aten::range.out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 5726 | inline at::Tensor & range_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step) { |
| 5727 | return at::_ops::range_out::redispatch(dispatchKeySet, start, end, step, out); |
| 5728 | } |
| 5729 | |
| 5730 | // aten::range.out(Scalar start, Scalar end, Scalar step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 5731 | inline at::Tensor & range_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & start, const at::Scalar & end, const at::Scalar & step, at::Tensor & out) { |
| 5732 | return at::_ops::range_out::redispatch(dispatchKeySet, start, end, step, out); |
| 5733 | } |
| 5734 | |
| 5735 | // aten::ravel(Tensor(a) self) -> Tensor(a) |
| 5736 | inline at::Tensor ravel(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5737 | return at::_ops::ravel::redispatch(dispatchKeySet, self); |
| 5738 | } |
| 5739 | |
| 5740 | // aten::reciprocal(Tensor self) -> Tensor |
| 5741 | inline at::Tensor reciprocal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5742 | return at::_ops::reciprocal::redispatch(dispatchKeySet, self); |
| 5743 | } |
| 5744 | |
| 5745 | // aten::reciprocal_(Tensor(a!) self) -> Tensor(a!) |
| 5746 | inline at::Tensor & reciprocal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5747 | return at::_ops::reciprocal_::redispatch(dispatchKeySet, self); |
| 5748 | } |
| 5749 | |
| 5750 | // aten::reciprocal.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5751 | inline at::Tensor & reciprocal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 5752 | return at::_ops::reciprocal_out::redispatch(dispatchKeySet, self, out); |
| 5753 | } |
| 5754 | |
| 5755 | // aten::reciprocal.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5756 | inline at::Tensor & reciprocal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 5757 | return at::_ops::reciprocal_out::redispatch(dispatchKeySet, self, out); |
| 5758 | } |
| 5759 | |
| 5760 | // aten::neg(Tensor self) -> Tensor |
| 5761 | inline at::Tensor neg(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5762 | return at::_ops::neg::redispatch(dispatchKeySet, self); |
| 5763 | } |
| 5764 | |
| 5765 | // aten::neg_(Tensor(a!) self) -> Tensor(a!) |
| 5766 | inline at::Tensor & neg_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5767 | return at::_ops::neg_::redispatch(dispatchKeySet, self); |
| 5768 | } |
| 5769 | |
| 5770 | // aten::neg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5771 | inline at::Tensor & neg_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 5772 | return at::_ops::neg_out::redispatch(dispatchKeySet, self, out); |
| 5773 | } |
| 5774 | |
| 5775 | // aten::neg.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5776 | inline at::Tensor & neg_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 5777 | return at::_ops::neg_out::redispatch(dispatchKeySet, self, out); |
| 5778 | } |
| 5779 | |
| 5780 | // aten::negative(Tensor self) -> Tensor |
| 5781 | inline at::Tensor negative(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5782 | return at::_ops::negative::redispatch(dispatchKeySet, self); |
| 5783 | } |
| 5784 | |
| 5785 | // aten::negative_(Tensor(a!) self) -> Tensor(a!) |
| 5786 | inline at::Tensor & negative_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5787 | return at::_ops::negative_::redispatch(dispatchKeySet, self); |
| 5788 | } |
| 5789 | |
| 5790 | // aten::negative.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5791 | inline at::Tensor & negative_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 5792 | return at::_ops::negative_out::redispatch(dispatchKeySet, self, out); |
| 5793 | } |
| 5794 | |
| 5795 | // aten::negative.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5796 | inline at::Tensor & negative_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 5797 | return at::_ops::negative_out::redispatch(dispatchKeySet, self, out); |
| 5798 | } |
| 5799 | |
| 5800 | // aten::repeat(Tensor self, SymInt[] repeats) -> Tensor |
| 5801 | inline at::Tensor repeat(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef repeats) { |
| 5802 | return at::_ops::repeat::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(repeats)); |
| 5803 | } |
| 5804 | |
| 5805 | // aten::repeat(Tensor self, SymInt[] repeats) -> Tensor |
| 5806 | inline at::Tensor repeat_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef repeats) { |
| 5807 | return at::_ops::repeat::redispatch(dispatchKeySet, self, repeats); |
| 5808 | } |
| 5809 | |
| 5810 | // aten::repeat_interleave.Tensor(Tensor repeats, *, int? output_size=None) -> Tensor |
| 5811 | inline at::Tensor repeat_interleave(c10::DispatchKeySet dispatchKeySet, const at::Tensor & repeats, c10::optional<int64_t> output_size=c10::nullopt) { |
| 5812 | return at::_ops::repeat_interleave_Tensor::redispatch(dispatchKeySet, repeats, output_size); |
| 5813 | } |
| 5814 | |
| 5815 | // aten::repeat_interleave.self_Tensor(Tensor self, Tensor repeats, int? dim=None, *, int? output_size=None) -> Tensor |
| 5816 | inline at::Tensor repeat_interleave(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) { |
| 5817 | return at::_ops::repeat_interleave_self_Tensor::redispatch(dispatchKeySet, self, repeats, dim, output_size); |
| 5818 | } |
| 5819 | |
| 5820 | // aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, int? output_size=None) -> Tensor |
| 5821 | inline at::Tensor repeat_interleave(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) { |
| 5822 | return at::_ops::repeat_interleave_self_int::redispatch(dispatchKeySet, self, repeats, dim, output_size); |
| 5823 | } |
| 5824 | |
| 5825 | // aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, int? output_size=None) -> Tensor |
| 5826 | inline at::Tensor repeat_interleave_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) { |
| 5827 | return at::_ops::repeat_interleave_self_int::redispatch(dispatchKeySet, self, repeats, dim, output_size); |
| 5828 | } |
| 5829 | |
| 5830 | // aten::reshape(Tensor(a) self, SymInt[] shape) -> Tensor(a) |
| 5831 | inline at::Tensor reshape(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shape) { |
| 5832 | return at::_ops::reshape::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(shape)); |
| 5833 | } |
| 5834 | |
| 5835 | // aten::reshape(Tensor(a) self, SymInt[] shape) -> Tensor(a) |
| 5836 | inline at::Tensor reshape_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef shape) { |
| 5837 | return at::_ops::reshape::redispatch(dispatchKeySet, self, shape); |
| 5838 | } |
| 5839 | |
| 5840 | // aten::_reshape_copy(Tensor self, SymInt[] size) -> Tensor |
| 5841 | inline at::Tensor _reshape_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 5842 | return at::_ops::_reshape_copy::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size)); |
| 5843 | } |
| 5844 | |
| 5845 | // aten::_reshape_copy(Tensor self, SymInt[] size) -> Tensor |
| 5846 | inline at::Tensor _reshape_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 5847 | return at::_ops::_reshape_copy::redispatch(dispatchKeySet, self, size); |
| 5848 | } |
| 5849 | |
| 5850 | // aten::_reshape_alias(Tensor(a) self, SymInt[] size, SymInt[] stride) -> Tensor(a) |
| 5851 | inline at::Tensor _reshape_alias(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride) { |
| 5852 | return at::_ops::_reshape_alias::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 5853 | } |
| 5854 | |
| 5855 | // aten::_reshape_alias(Tensor(a) self, SymInt[] size, SymInt[] stride) -> Tensor(a) |
| 5856 | inline at::Tensor _reshape_alias_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) { |
| 5857 | return at::_ops::_reshape_alias::redispatch(dispatchKeySet, self, size, stride); |
| 5858 | } |
| 5859 | |
| 5860 | // aten::_mkldnn_reshape(Tensor self, int[] shape) -> Tensor |
| 5861 | inline at::Tensor _mkldnn_reshape(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shape) { |
| 5862 | return at::_ops::_mkldnn_reshape::redispatch(dispatchKeySet, self, shape); |
| 5863 | } |
| 5864 | |
| 5865 | // aten::reshape_as(Tensor(a) self, Tensor other) -> Tensor(a) |
| 5866 | inline at::Tensor reshape_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 5867 | return at::_ops::reshape_as::redispatch(dispatchKeySet, self, other); |
| 5868 | } |
| 5869 | |
| 5870 | // aten::round(Tensor self) -> Tensor |
| 5871 | inline at::Tensor round(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5872 | return at::_ops::round::redispatch(dispatchKeySet, self); |
| 5873 | } |
| 5874 | |
| 5875 | // aten::round_(Tensor(a!) self) -> Tensor(a!) |
| 5876 | inline at::Tensor & round_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5877 | return at::_ops::round_::redispatch(dispatchKeySet, self); |
| 5878 | } |
| 5879 | |
| 5880 | // aten::round.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5881 | inline at::Tensor & round_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 5882 | return at::_ops::round_out::redispatch(dispatchKeySet, self, out); |
| 5883 | } |
| 5884 | |
| 5885 | // aten::round.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 5886 | inline at::Tensor & round_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 5887 | return at::_ops::round_out::redispatch(dispatchKeySet, self, out); |
| 5888 | } |
| 5889 | |
| 5890 | // aten::round.decimals(Tensor self, *, int decimals) -> Tensor |
| 5891 | inline at::Tensor round(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t decimals) { |
| 5892 | return at::_ops::round_decimals::redispatch(dispatchKeySet, self, decimals); |
| 5893 | } |
| 5894 | |
| 5895 | // aten::round_.decimals(Tensor(a!) self, *, int decimals) -> Tensor(a!) |
| 5896 | inline at::Tensor & round_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t decimals) { |
| 5897 | return at::_ops::round__decimals::redispatch(dispatchKeySet, self, decimals); |
| 5898 | } |
| 5899 | |
| 5900 | // aten::round.decimals_out(Tensor self, *, int decimals, Tensor(a!) out) -> Tensor(a!) |
| 5901 | inline at::Tensor & round_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t decimals) { |
| 5902 | return at::_ops::round_decimals_out::redispatch(dispatchKeySet, self, decimals, out); |
| 5903 | } |
| 5904 | |
| 5905 | // aten::round.decimals_out(Tensor self, *, int decimals, Tensor(a!) out) -> Tensor(a!) |
| 5906 | inline at::Tensor & round_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t decimals, at::Tensor & out) { |
| 5907 | return at::_ops::round_decimals_out::redispatch(dispatchKeySet, self, decimals, out); |
| 5908 | } |
| 5909 | |
| 5910 | // aten::rrelu(Tensor self, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor |
| 5911 | inline at::Tensor rrelu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) { |
| 5912 | return at::_ops::rrelu::redispatch(dispatchKeySet, self, lower, upper, training, generator); |
| 5913 | } |
| 5914 | |
| 5915 | // aten::rrelu_(Tensor(a!) self, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor(a!) |
| 5916 | inline at::Tensor & rrelu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) { |
| 5917 | return at::_ops::rrelu_::redispatch(dispatchKeySet, self, lower, upper, training, generator); |
| 5918 | } |
| 5919 | |
| 5920 | // aten::relu(Tensor self) -> Tensor |
| 5921 | inline at::Tensor relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5922 | return at::_ops::relu::redispatch(dispatchKeySet, self); |
| 5923 | } |
| 5924 | |
| 5925 | // aten::relu_(Tensor(a!) self) -> Tensor(a!) |
| 5926 | inline at::Tensor & relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5927 | return at::_ops::relu_::redispatch(dispatchKeySet, self); |
| 5928 | } |
| 5929 | |
| 5930 | // aten::relu6(Tensor self) -> Tensor |
| 5931 | inline at::Tensor relu6(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 5932 | return at::_ops::relu6::redispatch(dispatchKeySet, self); |
| 5933 | } |
| 5934 | |
| 5935 | // aten::relu6_(Tensor(a!) self) -> Tensor(a!) |
| 5936 | inline at::Tensor & relu6_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 5937 | return at::_ops::relu6_::redispatch(dispatchKeySet, self); |
| 5938 | } |
| 5939 | |
| 5940 | // aten::prelu(Tensor self, Tensor weight) -> Tensor |
| 5941 | inline at::Tensor prelu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight) { |
| 5942 | return at::_ops::prelu::redispatch(dispatchKeySet, self, weight); |
| 5943 | } |
| 5944 | |
| 5945 | // aten::_prelu_kernel(Tensor self, Tensor weight) -> Tensor |
| 5946 | inline at::Tensor _prelu_kernel(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight) { |
| 5947 | return at::_ops::_prelu_kernel::redispatch(dispatchKeySet, self, weight); |
| 5948 | } |
| 5949 | |
| 5950 | // aten::_prelu_kernel_backward(Tensor grad_output, Tensor self, Tensor weight) -> (Tensor, Tensor) |
| 5951 | inline ::std::tuple<at::Tensor,at::Tensor> _prelu_kernel_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight) { |
| 5952 | return at::_ops::_prelu_kernel_backward::redispatch(dispatchKeySet, grad_output, self, weight); |
| 5953 | } |
| 5954 | |
| 5955 | // aten::gelu.out(Tensor self, *, str approximate='none', Tensor(a!) out) -> Tensor(a!) |
| 5956 | inline at::Tensor & gelu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view approximate="none") { |
| 5957 | return at::_ops::gelu_out::redispatch(dispatchKeySet, self, approximate, out); |
| 5958 | } |
| 5959 | |
| 5960 | // aten::gelu.out(Tensor self, *, str approximate='none', Tensor(a!) out) -> Tensor(a!) |
| 5961 | inline at::Tensor & gelu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view approximate, at::Tensor & out) { |
| 5962 | return at::_ops::gelu_out::redispatch(dispatchKeySet, self, approximate, out); |
| 5963 | } |
| 5964 | |
| 5965 | // aten::gelu_(Tensor(a!) self, *, str approximate='none') -> Tensor(a!) |
| 5966 | inline at::Tensor & gelu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::string_view approximate="none") { |
| 5967 | return at::_ops::gelu_::redispatch(dispatchKeySet, self, approximate); |
| 5968 | } |
| 5969 | |
| 5970 | // aten::gelu(Tensor self, *, str approximate='none') -> Tensor |
| 5971 | inline at::Tensor gelu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view approximate="none") { |
| 5972 | return at::_ops::gelu::redispatch(dispatchKeySet, self, approximate); |
| 5973 | } |
| 5974 | |
| 5975 | // aten::gelu_backward.grad_input(Tensor grad_output, Tensor self, *, str approximate='none', Tensor(a!) grad_input) -> Tensor(a!) |
| 5976 | inline at::Tensor & gelu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::string_view approximate="none") { |
| 5977 | return at::_ops::gelu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, approximate, grad_input); |
| 5978 | } |
| 5979 | |
| 5980 | // aten::gelu_backward.grad_input(Tensor grad_output, Tensor self, *, str approximate='none', Tensor(a!) grad_input) -> Tensor(a!) |
| 5981 | inline at::Tensor & gelu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::string_view approximate, at::Tensor & grad_input) { |
| 5982 | return at::_ops::gelu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, approximate, grad_input); |
| 5983 | } |
| 5984 | |
| 5985 | // aten::gelu_backward(Tensor grad_output, Tensor self, *, str approximate='none') -> Tensor |
| 5986 | inline at::Tensor gelu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::string_view approximate="none") { |
| 5987 | return at::_ops::gelu_backward::redispatch(dispatchKeySet, grad_output, self, approximate); |
| 5988 | } |
| 5989 | |
| 5990 | // aten::infinitely_differentiable_gelu_backward(Tensor grad, Tensor self) -> Tensor |
| 5991 | inline at::Tensor infinitely_differentiable_gelu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self) { |
| 5992 | return at::_ops::infinitely_differentiable_gelu_backward::redispatch(dispatchKeySet, grad, self); |
| 5993 | } |
| 5994 | |
| 5995 | // aten::hardshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!) |
| 5996 | inline at::Tensor & hardshrink_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & lambd=0.5) { |
| 5997 | return at::_ops::hardshrink_out::redispatch(dispatchKeySet, self, lambd, out); |
| 5998 | } |
| 5999 | |
| 6000 | // aten::hardshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!) |
| 6001 | inline at::Tensor & hardshrink_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & out) { |
| 6002 | return at::_ops::hardshrink_out::redispatch(dispatchKeySet, self, lambd, out); |
| 6003 | } |
| 6004 | |
| 6005 | // aten::hardshrink(Tensor self, Scalar lambd=0.5) -> Tensor |
| 6006 | inline at::Tensor hardshrink(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd=0.5) { |
| 6007 | return at::_ops::hardshrink::redispatch(dispatchKeySet, self, lambd); |
| 6008 | } |
| 6009 | |
| 6010 | // aten::hardshrink_backward.grad_input(Tensor grad_out, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6011 | inline at::Tensor & hardshrink_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd) { |
| 6012 | return at::_ops::hardshrink_backward_grad_input::redispatch(dispatchKeySet, grad_out, self, lambd, grad_input); |
| 6013 | } |
| 6014 | |
| 6015 | // aten::hardshrink_backward.grad_input(Tensor grad_out, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6016 | inline at::Tensor & hardshrink_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & grad_input) { |
| 6017 | return at::_ops::hardshrink_backward_grad_input::redispatch(dispatchKeySet, grad_out, self, lambd, grad_input); |
| 6018 | } |
| 6019 | |
| 6020 | // aten::hardshrink_backward(Tensor grad_out, Tensor self, Scalar lambd) -> Tensor |
| 6021 | inline at::Tensor hardshrink_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & self, const at::Scalar & lambd) { |
| 6022 | return at::_ops::hardshrink_backward::redispatch(dispatchKeySet, grad_out, self, lambd); |
| 6023 | } |
| 6024 | |
| 6025 | // aten::rsqrt(Tensor self) -> Tensor |
| 6026 | inline at::Tensor rsqrt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6027 | return at::_ops::rsqrt::redispatch(dispatchKeySet, self); |
| 6028 | } |
| 6029 | |
| 6030 | // aten::rsqrt_(Tensor(a!) self) -> Tensor(a!) |
| 6031 | inline at::Tensor & rsqrt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6032 | return at::_ops::rsqrt_::redispatch(dispatchKeySet, self); |
| 6033 | } |
| 6034 | |
| 6035 | // aten::rsqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6036 | inline at::Tensor & rsqrt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6037 | return at::_ops::rsqrt_out::redispatch(dispatchKeySet, self, out); |
| 6038 | } |
| 6039 | |
| 6040 | // aten::rsqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6041 | inline at::Tensor & rsqrt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6042 | return at::_ops::rsqrt_out::redispatch(dispatchKeySet, self, out); |
| 6043 | } |
| 6044 | |
| 6045 | // aten::select.Dimname(Tensor(a) self, Dimname dim, int index) -> Tensor(a) |
| 6046 | inline at::Tensor select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, int64_t index) { |
| 6047 | return at::_ops::select_Dimname::redispatch(dispatchKeySet, self, dim, index); |
| 6048 | } |
| 6049 | |
| 6050 | // aten::select.int(Tensor(a) self, int dim, SymInt index) -> Tensor(a) |
| 6051 | inline at::Tensor select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t index) { |
| 6052 | return at::_ops::select_int::redispatch(dispatchKeySet, self, dim, index); |
| 6053 | } |
| 6054 | |
| 6055 | // aten::select.int(Tensor(a) self, int dim, SymInt index) -> Tensor(a) |
| 6056 | inline at::Tensor select_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::SymInt index) { |
| 6057 | return at::_ops::select_int::redispatch(dispatchKeySet, self, dim, index); |
| 6058 | } |
| 6059 | |
| 6060 | // aten::select_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt index) -> Tensor |
| 6061 | inline at::Tensor select_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t index) { |
| 6062 | return at::_ops::select_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), dim, index); |
| 6063 | } |
| 6064 | |
| 6065 | // aten::select_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt index) -> Tensor |
| 6066 | inline at::Tensor select_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt index) { |
| 6067 | return at::_ops::select_backward::redispatch(dispatchKeySet, grad_output, input_sizes, dim, index); |
| 6068 | } |
| 6069 | |
| 6070 | // aten::_nested_select_backward(Tensor grad_output, Tensor self, int dim, SymInt index) -> Tensor |
| 6071 | inline at::Tensor _nested_select_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim, int64_t index) { |
| 6072 | return at::_ops::_nested_select_backward::redispatch(dispatchKeySet, grad_output, self, dim, index); |
| 6073 | } |
| 6074 | |
| 6075 | // aten::_nested_select_backward(Tensor grad_output, Tensor self, int dim, SymInt index) -> Tensor |
| 6076 | inline at::Tensor _nested_select_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim, c10::SymInt index) { |
| 6077 | return at::_ops::_nested_select_backward::redispatch(dispatchKeySet, grad_output, self, dim, index); |
| 6078 | } |
| 6079 | |
| 6080 | // aten::selu(Tensor self) -> Tensor |
| 6081 | inline at::Tensor selu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6082 | return at::_ops::selu::redispatch(dispatchKeySet, self); |
| 6083 | } |
| 6084 | |
| 6085 | // aten::selu_(Tensor(a!) self) -> Tensor(a!) |
| 6086 | inline at::Tensor & selu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6087 | return at::_ops::selu_::redispatch(dispatchKeySet, self); |
| 6088 | } |
| 6089 | |
| 6090 | // aten::celu(Tensor self, Scalar alpha=1.0) -> Tensor |
| 6091 | inline at::Tensor celu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha=1.0) { |
| 6092 | return at::_ops::celu::redispatch(dispatchKeySet, self, alpha); |
| 6093 | } |
| 6094 | |
| 6095 | // aten::celu_(Tensor(a!) self, Scalar alpha=1.0) -> Tensor(a!) |
| 6096 | inline at::Tensor & celu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & alpha=1.0) { |
| 6097 | return at::_ops::celu_::redispatch(dispatchKeySet, self, alpha); |
| 6098 | } |
| 6099 | |
| 6100 | // aten::silu(Tensor self) -> Tensor |
| 6101 | inline at::Tensor silu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6102 | return at::_ops::silu::redispatch(dispatchKeySet, self); |
| 6103 | } |
| 6104 | |
| 6105 | // aten::silu_(Tensor(a!) self) -> Tensor(a!) |
| 6106 | inline at::Tensor & silu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6107 | return at::_ops::silu_::redispatch(dispatchKeySet, self); |
| 6108 | } |
| 6109 | |
| 6110 | // aten::silu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6111 | inline at::Tensor & silu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6112 | return at::_ops::silu_out::redispatch(dispatchKeySet, self, out); |
| 6113 | } |
| 6114 | |
| 6115 | // aten::silu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6116 | inline at::Tensor & silu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6117 | return at::_ops::silu_out::redispatch(dispatchKeySet, self, out); |
| 6118 | } |
| 6119 | |
| 6120 | // aten::silu_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6121 | inline at::Tensor & silu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self) { |
| 6122 | return at::_ops::silu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input); |
| 6123 | } |
| 6124 | |
| 6125 | // aten::silu_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6126 | inline at::Tensor & silu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input) { |
| 6127 | return at::_ops::silu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input); |
| 6128 | } |
| 6129 | |
| 6130 | // aten::silu_backward(Tensor grad_output, Tensor self) -> Tensor |
| 6131 | inline at::Tensor silu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) { |
| 6132 | return at::_ops::silu_backward::redispatch(dispatchKeySet, grad_output, self); |
| 6133 | } |
| 6134 | |
| 6135 | // aten::mish(Tensor self) -> Tensor |
| 6136 | inline at::Tensor mish(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6137 | return at::_ops::mish::redispatch(dispatchKeySet, self); |
| 6138 | } |
| 6139 | |
| 6140 | // aten::mish_(Tensor(a!) self) -> Tensor(a!) |
| 6141 | inline at::Tensor & mish_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6142 | return at::_ops::mish_::redispatch(dispatchKeySet, self); |
| 6143 | } |
| 6144 | |
| 6145 | // aten::mish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6146 | inline at::Tensor & mish_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6147 | return at::_ops::mish_out::redispatch(dispatchKeySet, self, out); |
| 6148 | } |
| 6149 | |
| 6150 | // aten::mish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6151 | inline at::Tensor & mish_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6152 | return at::_ops::mish_out::redispatch(dispatchKeySet, self, out); |
| 6153 | } |
| 6154 | |
| 6155 | // aten::mish_backward(Tensor grad_output, Tensor self) -> Tensor |
| 6156 | inline at::Tensor mish_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) { |
| 6157 | return at::_ops::mish_backward::redispatch(dispatchKeySet, grad_output, self); |
| 6158 | } |
| 6159 | |
| 6160 | // aten::sigmoid(Tensor self) -> Tensor |
| 6161 | inline at::Tensor sigmoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6162 | return at::_ops::sigmoid::redispatch(dispatchKeySet, self); |
| 6163 | } |
| 6164 | |
| 6165 | // aten::sigmoid_(Tensor(a!) self) -> Tensor(a!) |
| 6166 | inline at::Tensor & sigmoid_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6167 | return at::_ops::sigmoid_::redispatch(dispatchKeySet, self); |
| 6168 | } |
| 6169 | |
| 6170 | // aten::sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6171 | inline at::Tensor & sigmoid_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6172 | return at::_ops::sigmoid_out::redispatch(dispatchKeySet, self, out); |
| 6173 | } |
| 6174 | |
| 6175 | // aten::sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6176 | inline at::Tensor & sigmoid_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6177 | return at::_ops::sigmoid_out::redispatch(dispatchKeySet, self, out); |
| 6178 | } |
| 6179 | |
| 6180 | // aten::logit(Tensor self, float? eps=None) -> Tensor |
| 6181 | inline at::Tensor logit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) { |
| 6182 | return at::_ops::logit::redispatch(dispatchKeySet, self, eps); |
| 6183 | } |
| 6184 | |
| 6185 | // aten::logit_(Tensor(a!) self, float? eps=None) -> Tensor(a!) |
| 6186 | inline at::Tensor & logit_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<double> eps=c10::nullopt) { |
| 6187 | return at::_ops::logit_::redispatch(dispatchKeySet, self, eps); |
| 6188 | } |
| 6189 | |
| 6190 | // aten::logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!) |
| 6191 | inline at::Tensor & logit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) { |
| 6192 | return at::_ops::logit_out::redispatch(dispatchKeySet, self, eps, out); |
| 6193 | } |
| 6194 | |
| 6195 | // aten::logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!) |
| 6196 | inline at::Tensor & logit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps, at::Tensor & out) { |
| 6197 | return at::_ops::logit_out::redispatch(dispatchKeySet, self, eps, out); |
| 6198 | } |
| 6199 | |
| 6200 | // aten::sin(Tensor self) -> Tensor |
| 6201 | inline at::Tensor sin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6202 | return at::_ops::sin::redispatch(dispatchKeySet, self); |
| 6203 | } |
| 6204 | |
| 6205 | // aten::sin_(Tensor(a!) self) -> Tensor(a!) |
| 6206 | inline at::Tensor & sin_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6207 | return at::_ops::sin_::redispatch(dispatchKeySet, self); |
| 6208 | } |
| 6209 | |
| 6210 | // aten::sin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6211 | inline at::Tensor & sin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6212 | return at::_ops::sin_out::redispatch(dispatchKeySet, self, out); |
| 6213 | } |
| 6214 | |
| 6215 | // aten::sin.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6216 | inline at::Tensor & sin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6217 | return at::_ops::sin_out::redispatch(dispatchKeySet, self, out); |
| 6218 | } |
| 6219 | |
| 6220 | // aten::sinc(Tensor self) -> Tensor |
| 6221 | inline at::Tensor sinc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6222 | return at::_ops::sinc::redispatch(dispatchKeySet, self); |
| 6223 | } |
| 6224 | |
| 6225 | // aten::sinc_(Tensor(a!) self) -> Tensor(a!) |
| 6226 | inline at::Tensor & sinc_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6227 | return at::_ops::sinc_::redispatch(dispatchKeySet, self); |
| 6228 | } |
| 6229 | |
| 6230 | // aten::sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6231 | inline at::Tensor & sinc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6232 | return at::_ops::sinc_out::redispatch(dispatchKeySet, self, out); |
| 6233 | } |
| 6234 | |
| 6235 | // aten::sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6236 | inline at::Tensor & sinc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6237 | return at::_ops::sinc_out::redispatch(dispatchKeySet, self, out); |
| 6238 | } |
| 6239 | |
| 6240 | // aten::sinh(Tensor self) -> Tensor |
| 6241 | inline at::Tensor sinh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6242 | return at::_ops::sinh::redispatch(dispatchKeySet, self); |
| 6243 | } |
| 6244 | |
| 6245 | // aten::sinh_(Tensor(a!) self) -> Tensor(a!) |
| 6246 | inline at::Tensor & sinh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6247 | return at::_ops::sinh_::redispatch(dispatchKeySet, self); |
| 6248 | } |
| 6249 | |
| 6250 | // aten::sinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6251 | inline at::Tensor & sinh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6252 | return at::_ops::sinh_out::redispatch(dispatchKeySet, self, out); |
| 6253 | } |
| 6254 | |
| 6255 | // aten::sinh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6256 | inline at::Tensor & sinh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6257 | return at::_ops::sinh_out::redispatch(dispatchKeySet, self, out); |
| 6258 | } |
| 6259 | |
| 6260 | // aten::detach(Tensor(a) self) -> Tensor(a) |
| 6261 | inline at::Tensor detach(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6262 | return at::_ops::detach::redispatch(dispatchKeySet, self); |
| 6263 | } |
| 6264 | |
| 6265 | // aten::detach_(Tensor(a!) self) -> Tensor(a!) |
| 6266 | inline at::Tensor & detach_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6267 | return at::_ops::detach_::redispatch(dispatchKeySet, self); |
| 6268 | } |
| 6269 | |
| 6270 | // aten::size.int(Tensor self, int dim) -> int |
| 6271 | inline int64_t __dispatch_size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 6272 | return at::_ops::size_int::redispatch(dispatchKeySet, self, dim); |
| 6273 | } |
| 6274 | |
| 6275 | // aten::size.Dimname(Tensor self, Dimname dim) -> int |
| 6276 | inline int64_t size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) { |
| 6277 | return at::_ops::size_Dimname::redispatch(dispatchKeySet, self, dim); |
| 6278 | } |
| 6279 | |
| 6280 | // aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) |
| 6281 | inline at::Tensor slice(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) { |
| 6282 | return at::_ops::slice_Tensor::redispatch(dispatchKeySet, self, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step); |
| 6283 | } |
| 6284 | |
| 6285 | // aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) |
| 6286 | inline at::Tensor slice_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0, c10::optional<c10::SymInt> start=c10::nullopt, c10::optional<c10::SymInt> end=c10::nullopt, c10::SymInt step=1) { |
| 6287 | return at::_ops::slice_Tensor::redispatch(dispatchKeySet, self, dim, start, end, step); |
| 6288 | } |
| 6289 | |
| 6290 | // aten::slice_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step) -> Tensor |
| 6291 | inline at::Tensor slice_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t start, int64_t end, int64_t step) { |
| 6292 | return at::_ops::slice_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), dim, start, end, step); |
| 6293 | } |
| 6294 | |
| 6295 | // aten::slice_backward(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step) -> Tensor |
| 6296 | inline at::Tensor slice_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt start, c10::SymInt end, c10::SymInt step) { |
| 6297 | return at::_ops::slice_backward::redispatch(dispatchKeySet, grad_output, input_sizes, dim, start, end, step); |
| 6298 | } |
| 6299 | |
| 6300 | // aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor |
| 6301 | inline at::Tensor slice_scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) { |
| 6302 | return at::_ops::slice_scatter::redispatch(dispatchKeySet, self, src, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step); |
| 6303 | } |
| 6304 | |
| 6305 | // aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor |
| 6306 | inline at::Tensor slice_scatter_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim=0, c10::optional<c10::SymInt> start=c10::nullopt, c10::optional<c10::SymInt> end=c10::nullopt, c10::SymInt step=1) { |
| 6307 | return at::_ops::slice_scatter::redispatch(dispatchKeySet, self, src, dim, start, end, step); |
| 6308 | } |
| 6309 | |
| 6310 | // aten::select_scatter(Tensor self, Tensor src, int dim, SymInt index) -> Tensor |
| 6311 | inline at::Tensor select_scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim, int64_t index) { |
| 6312 | return at::_ops::select_scatter::redispatch(dispatchKeySet, self, src, dim, index); |
| 6313 | } |
| 6314 | |
| 6315 | // aten::select_scatter(Tensor self, Tensor src, int dim, SymInt index) -> Tensor |
| 6316 | inline at::Tensor select_scatter_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim, c10::SymInt index) { |
| 6317 | return at::_ops::select_scatter::redispatch(dispatchKeySet, self, src, dim, index); |
| 6318 | } |
| 6319 | |
| 6320 | // aten::diagonal_scatter(Tensor self, Tensor src, int offset=0, int dim1=0, int dim2=1) -> Tensor |
| 6321 | inline at::Tensor diagonal_scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) { |
| 6322 | return at::_ops::diagonal_scatter::redispatch(dispatchKeySet, self, src, offset, dim1, dim2); |
| 6323 | } |
| 6324 | |
| 6325 | // aten::as_strided_scatter(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor |
| 6326 | inline at::Tensor as_strided_scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) { |
| 6327 | return at::_ops::as_strided_scatter::redispatch(dispatchKeySet, self, src, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt); |
| 6328 | } |
| 6329 | |
| 6330 | // aten::as_strided_scatter(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor |
| 6331 | inline at::Tensor as_strided_scatter_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) { |
| 6332 | return at::_ops::as_strided_scatter::redispatch(dispatchKeySet, self, src, size, stride, storage_offset); |
| 6333 | } |
| 6334 | |
| 6335 | // aten::smm(Tensor self, Tensor mat2) -> Tensor |
| 6336 | inline at::Tensor smm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat2) { |
| 6337 | return at::_ops::smm::redispatch(dispatchKeySet, self, mat2); |
| 6338 | } |
| 6339 | |
| 6340 | // aten::softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor |
| 6341 | inline at::Tensor softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6342 | return at::_ops::softmax_int::redispatch(dispatchKeySet, self, dim, dtype); |
| 6343 | } |
| 6344 | |
| 6345 | // aten::softmax.int_out(Tensor self, int dim, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 6346 | inline at::Tensor & softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6347 | return at::_ops::softmax_int_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 6348 | } |
| 6349 | |
| 6350 | // aten::softmax.int_out(Tensor self, int dim, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 6351 | inline at::Tensor & softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6352 | return at::_ops::softmax_int_out::redispatch(dispatchKeySet, self, dim, dtype, out); |
| 6353 | } |
| 6354 | |
| 6355 | // aten::softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 6356 | inline at::Tensor softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6357 | return at::_ops::softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 6358 | } |
| 6359 | |
| 6360 | // aten::_softmax(Tensor self, int dim, bool half_to_float) -> Tensor |
| 6361 | inline at::Tensor _softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 6362 | return at::_ops::_softmax::redispatch(dispatchKeySet, self, dim, half_to_float); |
| 6363 | } |
| 6364 | |
| 6365 | // aten::_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 6366 | inline at::Tensor & _softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 6367 | return at::_ops::_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 6368 | } |
| 6369 | |
| 6370 | // aten::_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 6371 | inline at::Tensor & _softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) { |
| 6372 | return at::_ops::_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 6373 | } |
| 6374 | |
| 6375 | // aten::_softmax_backward_data(Tensor grad_output, Tensor output, int dim, ScalarType input_dtype) -> Tensor |
| 6376 | inline at::Tensor _softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype) { |
| 6377 | return at::_ops::_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, input_dtype); |
| 6378 | } |
| 6379 | |
| 6380 | // aten::_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, ScalarType input_dtype, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6381 | inline at::Tensor & _softmax_backward_data_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype) { |
| 6382 | return at::_ops::_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, input_dtype, grad_input); |
| 6383 | } |
| 6384 | |
| 6385 | // aten::_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, ScalarType input_dtype, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6386 | inline at::Tensor & _softmax_backward_data_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, at::ScalarType input_dtype, at::Tensor & grad_input) { |
| 6387 | return at::_ops::_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, input_dtype, grad_input); |
| 6388 | } |
| 6389 | |
| 6390 | // aten::unsafe_split.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[] |
| 6391 | inline ::std::vector<at::Tensor> unsafe_split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t split_size, int64_t dim=0) { |
| 6392 | return at::_ops::unsafe_split_Tensor::redispatch(dispatchKeySet, self, split_size, dim); |
| 6393 | } |
| 6394 | |
| 6395 | // aten::unsafe_split.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[] |
| 6396 | inline ::std::vector<at::Tensor> unsafe_split_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) { |
| 6397 | return at::_ops::unsafe_split_Tensor::redispatch(dispatchKeySet, self, split_size, dim); |
| 6398 | } |
| 6399 | |
| 6400 | // aten::split.Tensor(Tensor(a -> *) self, SymInt split_size, int dim=0) -> Tensor(a)[] |
| 6401 | inline ::std::vector<at::Tensor> split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t split_size, int64_t dim=0) { |
| 6402 | return at::_ops::split_Tensor::redispatch(dispatchKeySet, self, split_size, dim); |
| 6403 | } |
| 6404 | |
| 6405 | // aten::split.Tensor(Tensor(a -> *) self, SymInt split_size, int dim=0) -> Tensor(a)[] |
| 6406 | inline ::std::vector<at::Tensor> split_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) { |
| 6407 | return at::_ops::split_Tensor::redispatch(dispatchKeySet, self, split_size, dim); |
| 6408 | } |
| 6409 | |
| 6410 | // aten::split.sizes(Tensor(a -> *) self, SymInt[] split_size, int dim=0) -> Tensor(a)[] |
| 6411 | inline ::std::vector<at::Tensor> split(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_size, int64_t dim=0) { |
| 6412 | return at::_ops::split_sizes::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_size), dim); |
| 6413 | } |
| 6414 | |
| 6415 | // aten::split.sizes(Tensor(a -> *) self, SymInt[] split_size, int dim=0) -> Tensor(a)[] |
| 6416 | inline ::std::vector<at::Tensor> split_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef split_size, int64_t dim=0) { |
| 6417 | return at::_ops::split_sizes::redispatch(dispatchKeySet, self, split_size, dim); |
| 6418 | } |
| 6419 | |
| 6420 | // aten::unsafe_split_with_sizes(Tensor self, SymInt[] split_sizes, int dim=0) -> Tensor[] |
| 6421 | inline ::std::vector<at::Tensor> unsafe_split_with_sizes(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim=0) { |
| 6422 | return at::_ops::unsafe_split_with_sizes::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_sizes), dim); |
| 6423 | } |
| 6424 | |
| 6425 | // aten::unsafe_split_with_sizes(Tensor self, SymInt[] split_sizes, int dim=0) -> Tensor[] |
| 6426 | inline ::std::vector<at::Tensor> unsafe_split_with_sizes_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef split_sizes, int64_t dim=0) { |
| 6427 | return at::_ops::unsafe_split_with_sizes::redispatch(dispatchKeySet, self, split_sizes, dim); |
| 6428 | } |
| 6429 | |
| 6430 | // aten::split_with_sizes(Tensor(a -> *) self, SymInt[] split_sizes, int dim=0) -> Tensor(a)[] |
| 6431 | inline ::std::vector<at::Tensor> split_with_sizes(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim=0) { |
| 6432 | return at::_ops::split_with_sizes::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_sizes), dim); |
| 6433 | } |
| 6434 | |
| 6435 | // aten::split_with_sizes(Tensor(a -> *) self, SymInt[] split_sizes, int dim=0) -> Tensor(a)[] |
| 6436 | inline ::std::vector<at::Tensor> split_with_sizes_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef split_sizes, int64_t dim=0) { |
| 6437 | return at::_ops::split_with_sizes::redispatch(dispatchKeySet, self, split_sizes, dim); |
| 6438 | } |
| 6439 | |
| 6440 | // aten::hsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[] |
| 6441 | inline ::std::vector<at::Tensor> hsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections) { |
| 6442 | return at::_ops::hsplit_int::redispatch(dispatchKeySet, self, sections); |
| 6443 | } |
| 6444 | |
| 6445 | // aten::hsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[] |
| 6446 | inline ::std::vector<at::Tensor> hsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices) { |
| 6447 | return at::_ops::hsplit_array::redispatch(dispatchKeySet, self, indices); |
| 6448 | } |
| 6449 | |
| 6450 | // aten::vsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[] |
| 6451 | inline ::std::vector<at::Tensor> vsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections) { |
| 6452 | return at::_ops::vsplit_int::redispatch(dispatchKeySet, self, sections); |
| 6453 | } |
| 6454 | |
| 6455 | // aten::vsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[] |
| 6456 | inline ::std::vector<at::Tensor> vsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices) { |
| 6457 | return at::_ops::vsplit_array::redispatch(dispatchKeySet, self, indices); |
| 6458 | } |
| 6459 | |
| 6460 | // aten::dsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[] |
| 6461 | inline ::std::vector<at::Tensor> dsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sections) { |
| 6462 | return at::_ops::dsplit_int::redispatch(dispatchKeySet, self, sections); |
| 6463 | } |
| 6464 | |
| 6465 | // aten::dsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[] |
| 6466 | inline ::std::vector<at::Tensor> dsplit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef indices) { |
| 6467 | return at::_ops::dsplit_array::redispatch(dispatchKeySet, self, indices); |
| 6468 | } |
| 6469 | |
| 6470 | // aten::squeeze(Tensor(a) self) -> Tensor(a) |
| 6471 | inline at::Tensor squeeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6472 | return at::_ops::squeeze::redispatch(dispatchKeySet, self); |
| 6473 | } |
| 6474 | |
| 6475 | // aten::squeeze.dim(Tensor(a) self, int dim) -> Tensor(a) |
| 6476 | inline at::Tensor squeeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 6477 | return at::_ops::squeeze_dim::redispatch(dispatchKeySet, self, dim); |
| 6478 | } |
| 6479 | |
| 6480 | // aten::squeeze.dimname(Tensor(a) self, Dimname dim) -> Tensor(a) |
| 6481 | inline at::Tensor squeeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) { |
| 6482 | return at::_ops::squeeze_dimname::redispatch(dispatchKeySet, self, dim); |
| 6483 | } |
| 6484 | |
| 6485 | // aten::squeeze.dims(Tensor(a) self, int[] dim) -> Tensor(a) |
| 6486 | inline at::Tensor squeeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim) { |
| 6487 | return at::_ops::squeeze_dims::redispatch(dispatchKeySet, self, dim); |
| 6488 | } |
| 6489 | |
| 6490 | // aten::squeeze_(Tensor(a!) self) -> Tensor(a!) |
| 6491 | inline at::Tensor & squeeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6492 | return at::_ops::squeeze_::redispatch(dispatchKeySet, self); |
| 6493 | } |
| 6494 | |
| 6495 | // aten::squeeze_.dim(Tensor(a!) self, int dim) -> Tensor(a!) |
| 6496 | inline at::Tensor & squeeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim) { |
| 6497 | return at::_ops::squeeze__dim::redispatch(dispatchKeySet, self, dim); |
| 6498 | } |
| 6499 | |
| 6500 | // aten::squeeze_.dims(Tensor(a!) self, int[] dim) -> Tensor(a!) |
| 6501 | inline at::Tensor & squeeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::IntArrayRef dim) { |
| 6502 | return at::_ops::squeeze__dims::redispatch(dispatchKeySet, self, dim); |
| 6503 | } |
| 6504 | |
| 6505 | // aten::squeeze_.dimname(Tensor(a!) self, Dimname dim) -> Tensor(a!) |
| 6506 | inline at::Tensor & squeeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim) { |
| 6507 | return at::_ops::squeeze__dimname::redispatch(dispatchKeySet, self, dim); |
| 6508 | } |
| 6509 | |
| 6510 | // aten::sspaddmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 6511 | inline at::Tensor sspaddmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 6512 | return at::_ops::sspaddmm::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha); |
| 6513 | } |
| 6514 | |
| 6515 | // aten::sspaddmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 6516 | inline at::Tensor & sspaddmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 6517 | return at::_ops::sspaddmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 6518 | } |
| 6519 | |
| 6520 | // aten::sspaddmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 6521 | inline at::Tensor & sspaddmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 6522 | return at::_ops::sspaddmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 6523 | } |
| 6524 | |
| 6525 | // aten::stack(Tensor[] tensors, int dim=0) -> Tensor |
| 6526 | inline at::Tensor stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) { |
| 6527 | return at::_ops::stack::redispatch(dispatchKeySet, tensors, dim); |
| 6528 | } |
| 6529 | |
| 6530 | // aten::stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 6531 | inline at::Tensor & stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) { |
| 6532 | return at::_ops::stack_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 6533 | } |
| 6534 | |
| 6535 | // aten::stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 6536 | inline at::Tensor & stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 6537 | return at::_ops::stack_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 6538 | } |
| 6539 | |
| 6540 | // aten::_stack(Tensor[] tensors, int dim=0) -> Tensor |
| 6541 | inline at::Tensor _stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim=0) { |
| 6542 | return at::_ops::_stack::redispatch(dispatchKeySet, tensors, dim); |
| 6543 | } |
| 6544 | |
| 6545 | // aten::_stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 6546 | inline at::Tensor & _stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors, int64_t dim=0) { |
| 6547 | return at::_ops::_stack_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 6548 | } |
| 6549 | |
| 6550 | // aten::_stack.out(Tensor[] tensors, int dim=0, *, Tensor(a!) out) -> Tensor(a!) |
| 6551 | inline at::Tensor & _stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 6552 | return at::_ops::_stack_out::redispatch(dispatchKeySet, tensors, dim, out); |
| 6553 | } |
| 6554 | |
| 6555 | // aten::hstack(Tensor[] tensors) -> Tensor |
| 6556 | inline at::Tensor hstack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 6557 | return at::_ops::hstack::redispatch(dispatchKeySet, tensors); |
| 6558 | } |
| 6559 | |
| 6560 | // aten::hstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 6561 | inline at::Tensor & hstack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) { |
| 6562 | return at::_ops::hstack_out::redispatch(dispatchKeySet, tensors, out); |
| 6563 | } |
| 6564 | |
| 6565 | // aten::hstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 6566 | inline at::Tensor & hstack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) { |
| 6567 | return at::_ops::hstack_out::redispatch(dispatchKeySet, tensors, out); |
| 6568 | } |
| 6569 | |
| 6570 | // aten::vstack(Tensor[] tensors) -> Tensor |
| 6571 | inline at::Tensor vstack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 6572 | return at::_ops::vstack::redispatch(dispatchKeySet, tensors); |
| 6573 | } |
| 6574 | |
| 6575 | // aten::vstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 6576 | inline at::Tensor & vstack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) { |
| 6577 | return at::_ops::vstack_out::redispatch(dispatchKeySet, tensors, out); |
| 6578 | } |
| 6579 | |
| 6580 | // aten::vstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 6581 | inline at::Tensor & vstack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) { |
| 6582 | return at::_ops::vstack_out::redispatch(dispatchKeySet, tensors, out); |
| 6583 | } |
| 6584 | |
| 6585 | // aten::dstack(Tensor[] tensors) -> Tensor |
| 6586 | inline at::Tensor dstack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 6587 | return at::_ops::dstack::redispatch(dispatchKeySet, tensors); |
| 6588 | } |
| 6589 | |
| 6590 | // aten::dstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 6591 | inline at::Tensor & dstack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) { |
| 6592 | return at::_ops::dstack_out::redispatch(dispatchKeySet, tensors, out); |
| 6593 | } |
| 6594 | |
| 6595 | // aten::dstack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 6596 | inline at::Tensor & dstack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) { |
| 6597 | return at::_ops::dstack_out::redispatch(dispatchKeySet, tensors, out); |
| 6598 | } |
| 6599 | |
| 6600 | // aten::stft(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool normalized=False, bool? onesided=None, bool? return_complex=None) -> Tensor |
| 6601 | inline at::Tensor stft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n_fft, c10::optional<int64_t> hop_length, c10::optional<int64_t> win_length, const c10::optional<at::Tensor> & window, bool normalized, c10::optional<bool> onesided=c10::nullopt, c10::optional<bool> return_complex=c10::nullopt) { |
| 6602 | return at::_ops::stft::redispatch(dispatchKeySet, self, n_fft, hop_length, win_length, window, normalized, onesided, return_complex); |
| 6603 | } |
| 6604 | |
| 6605 | // aten::stft.center(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool center=True, str pad_mode="reflect", bool normalized=False, bool? onesided=None, bool? return_complex=None) -> Tensor |
| 6606 | inline at::Tensor stft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n_fft, c10::optional<int64_t> hop_length=c10::nullopt, c10::optional<int64_t> win_length=c10::nullopt, const c10::optional<at::Tensor> & window={}, bool center=true, c10::string_view pad_mode="reflect", bool normalized=false, c10::optional<bool> onesided=c10::nullopt, c10::optional<bool> return_complex=c10::nullopt) { |
| 6607 | return at::_ops::stft_center::redispatch(dispatchKeySet, self, n_fft, hop_length, win_length, window, center, pad_mode, normalized, onesided, return_complex); |
| 6608 | } |
| 6609 | |
| 6610 | // aten::istft(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool center=True, bool normalized=False, bool? onesided=None, int? length=None, bool return_complex=False) -> Tensor |
| 6611 | inline at::Tensor istft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n_fft, c10::optional<int64_t> hop_length=c10::nullopt, c10::optional<int64_t> win_length=c10::nullopt, const c10::optional<at::Tensor> & window={}, bool center=true, bool normalized=false, c10::optional<bool> onesided=c10::nullopt, c10::optional<int64_t> length=c10::nullopt, bool return_complex=false) { |
| 6612 | return at::_ops::istft::redispatch(dispatchKeySet, self, n_fft, hop_length, win_length, window, center, normalized, onesided, length, return_complex); |
| 6613 | } |
| 6614 | |
| 6615 | // aten::stride.int(Tensor self, int dim) -> int |
| 6616 | inline int64_t __dispatch_stride(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 6617 | return at::_ops::stride_int::redispatch(dispatchKeySet, self, dim); |
| 6618 | } |
| 6619 | |
| 6620 | // aten::stride.Dimname(Tensor self, Dimname dim) -> int |
| 6621 | inline int64_t stride(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) { |
| 6622 | return at::_ops::stride_Dimname::redispatch(dispatchKeySet, self, dim); |
| 6623 | } |
| 6624 | |
| 6625 | // aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor |
| 6626 | inline at::Tensor sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6627 | return at::_ops::sum::redispatch(dispatchKeySet, self, dtype); |
| 6628 | } |
| 6629 | |
| 6630 | // aten::sum.dim_IntList(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 6631 | inline at::Tensor sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6632 | return at::_ops::sum_dim_IntList::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 6633 | } |
| 6634 | |
| 6635 | // aten::sum.dim_DimnameList(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 6636 | inline at::Tensor sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6637 | return at::_ops::sum_dim_DimnameList::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 6638 | } |
| 6639 | |
| 6640 | // aten::sum.IntList_out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6641 | inline at::Tensor & sum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6642 | return at::_ops::sum_IntList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6643 | } |
| 6644 | |
| 6645 | // aten::sum.IntList_out(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6646 | inline at::Tensor & sum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6647 | return at::_ops::sum_IntList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6648 | } |
| 6649 | |
| 6650 | // aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6651 | inline at::Tensor & sum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6652 | return at::_ops::sum_DimnameList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6653 | } |
| 6654 | |
| 6655 | // aten::sum.DimnameList_out(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6656 | inline at::Tensor & sum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6657 | return at::_ops::sum_DimnameList_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6658 | } |
| 6659 | |
| 6660 | // aten::_nested_sum_backward(Tensor grad, Tensor self, int[1]? dim, bool keepdim=False) -> Tensor |
| 6661 | inline at::Tensor _nested_sum_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim=false) { |
| 6662 | return at::_ops::_nested_sum_backward::redispatch(dispatchKeySet, grad, self, dim, keepdim); |
| 6663 | } |
| 6664 | |
| 6665 | // aten::nansum(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 6666 | inline at::Tensor nansum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6667 | return at::_ops::nansum::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 6668 | } |
| 6669 | |
| 6670 | // aten::nansum.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6671 | inline at::Tensor & nansum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6672 | return at::_ops::nansum_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6673 | } |
| 6674 | |
| 6675 | // aten::nansum.out(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6676 | inline at::Tensor & nansum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6677 | return at::_ops::nansum_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6678 | } |
| 6679 | |
| 6680 | // aten::sum_to_size(Tensor self, int[] size) -> Tensor |
| 6681 | inline at::Tensor sum_to_size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 6682 | return at::_ops::sum_to_size::redispatch(dispatchKeySet, self, size); |
| 6683 | } |
| 6684 | |
| 6685 | // aten::sqrt(Tensor self) -> Tensor |
| 6686 | inline at::Tensor sqrt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6687 | return at::_ops::sqrt::redispatch(dispatchKeySet, self); |
| 6688 | } |
| 6689 | |
| 6690 | // aten::sqrt_(Tensor(a!) self) -> Tensor(a!) |
| 6691 | inline at::Tensor & sqrt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6692 | return at::_ops::sqrt_::redispatch(dispatchKeySet, self); |
| 6693 | } |
| 6694 | |
| 6695 | // aten::sqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6696 | inline at::Tensor & sqrt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6697 | return at::_ops::sqrt_out::redispatch(dispatchKeySet, self, out); |
| 6698 | } |
| 6699 | |
| 6700 | // aten::sqrt.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6701 | inline at::Tensor & sqrt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6702 | return at::_ops::sqrt_out::redispatch(dispatchKeySet, self, out); |
| 6703 | } |
| 6704 | |
| 6705 | // aten::square(Tensor self) -> Tensor |
| 6706 | inline at::Tensor square(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6707 | return at::_ops::square::redispatch(dispatchKeySet, self); |
| 6708 | } |
| 6709 | |
| 6710 | // aten::square_(Tensor(a!) self) -> Tensor(a!) |
| 6711 | inline at::Tensor & square_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6712 | return at::_ops::square_::redispatch(dispatchKeySet, self); |
| 6713 | } |
| 6714 | |
| 6715 | // aten::square.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6716 | inline at::Tensor & square_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6717 | return at::_ops::square_out::redispatch(dispatchKeySet, self, out); |
| 6718 | } |
| 6719 | |
| 6720 | // aten::square.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6721 | inline at::Tensor & square_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6722 | return at::_ops::square_out::redispatch(dispatchKeySet, self, out); |
| 6723 | } |
| 6724 | |
| 6725 | // aten::std(Tensor self, bool unbiased=True) -> Tensor |
| 6726 | inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased) { |
| 6727 | return at::_ops::std::redispatch(dispatchKeySet, self, unbiased); |
| 6728 | } |
| 6729 | |
| 6730 | // aten::std.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 6731 | inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) { |
| 6732 | return at::_ops::std_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 6733 | } |
| 6734 | |
| 6735 | // aten::std.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor |
| 6736 | inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 6737 | return at::_ops::std_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 6738 | } |
| 6739 | |
| 6740 | // aten::std_mean(Tensor self, bool unbiased=True) -> (Tensor, Tensor) |
| 6741 | inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased) { |
| 6742 | return at::_ops::std_mean::redispatch(dispatchKeySet, self, unbiased); |
| 6743 | } |
| 6744 | |
| 6745 | // aten::std_mean.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor) |
| 6746 | inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) { |
| 6747 | return at::_ops::std_mean_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 6748 | } |
| 6749 | |
| 6750 | // aten::std_mean.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor) |
| 6751 | inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 6752 | return at::_ops::std_mean_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 6753 | } |
| 6754 | |
| 6755 | // aten::std_mean.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor) |
| 6756 | inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim=false) { |
| 6757 | return at::_ops::std_mean_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 6758 | } |
| 6759 | |
| 6760 | // aten::std_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor) |
| 6761 | inline ::std::tuple<at::Tensor,at::Tensor> std_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 6762 | return at::_ops::std_mean_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 6763 | } |
| 6764 | |
| 6765 | // aten::std.out(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 6766 | inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) { |
| 6767 | return at::_ops::std_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 6768 | } |
| 6769 | |
| 6770 | // aten::std.out(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 6771 | inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 6772 | return at::_ops::std_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 6773 | } |
| 6774 | |
| 6775 | // aten::std.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 6776 | inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 6777 | return at::_ops::std_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 6778 | } |
| 6779 | |
| 6780 | // aten::std.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 6781 | inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 6782 | return at::_ops::std_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 6783 | } |
| 6784 | |
| 6785 | // aten::std.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 6786 | inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim=false) { |
| 6787 | return at::_ops::std_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 6788 | } |
| 6789 | |
| 6790 | // aten::std.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 6791 | inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim=false) { |
| 6792 | return at::_ops::std_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 6793 | } |
| 6794 | |
| 6795 | // aten::std.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 6796 | inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 6797 | return at::_ops::std_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 6798 | } |
| 6799 | |
| 6800 | // aten::std.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor |
| 6801 | inline at::Tensor std(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 6802 | return at::_ops::std_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 6803 | } |
| 6804 | |
| 6805 | // aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 6806 | inline at::Tensor & std_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 6807 | return at::_ops::std_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 6808 | } |
| 6809 | |
| 6810 | // aten::std.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 6811 | inline at::Tensor & std_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 6812 | return at::_ops::std_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 6813 | } |
| 6814 | |
| 6815 | // aten::prod(Tensor self, *, ScalarType? dtype=None) -> Tensor |
| 6816 | inline at::Tensor prod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6817 | return at::_ops::prod::redispatch(dispatchKeySet, self, dtype); |
| 6818 | } |
| 6819 | |
| 6820 | // aten::prod.dim_int(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 6821 | inline at::Tensor prod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6822 | return at::_ops::prod_dim_int::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 6823 | } |
| 6824 | |
| 6825 | // aten::prod.int_out(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6826 | inline at::Tensor & prod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6827 | return at::_ops::prod_int_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6828 | } |
| 6829 | |
| 6830 | // aten::prod.int_out(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6831 | inline at::Tensor & prod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6832 | return at::_ops::prod_int_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6833 | } |
| 6834 | |
| 6835 | // aten::prod.dim_Dimname(Tensor self, Dimname dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 6836 | inline at::Tensor prod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6837 | return at::_ops::prod_dim_Dimname::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 6838 | } |
| 6839 | |
| 6840 | // aten::prod.Dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6841 | inline at::Tensor & prod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 6842 | return at::_ops::prod_Dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6843 | } |
| 6844 | |
| 6845 | // aten::prod.Dimname_out(Tensor self, Dimname dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 6846 | inline at::Tensor & prod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6847 | return at::_ops::prod_Dimname_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 6848 | } |
| 6849 | |
| 6850 | // aten::t(Tensor(a) self) -> Tensor(a) |
| 6851 | inline at::Tensor t(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6852 | return at::_ops::t::redispatch(dispatchKeySet, self); |
| 6853 | } |
| 6854 | |
| 6855 | // aten::t_(Tensor(a!) self) -> Tensor(a!) |
| 6856 | inline at::Tensor & t_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6857 | return at::_ops::t_::redispatch(dispatchKeySet, self); |
| 6858 | } |
| 6859 | |
| 6860 | // aten::tan(Tensor self) -> Tensor |
| 6861 | inline at::Tensor tan(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6862 | return at::_ops::tan::redispatch(dispatchKeySet, self); |
| 6863 | } |
| 6864 | |
| 6865 | // aten::tan_(Tensor(a!) self) -> Tensor(a!) |
| 6866 | inline at::Tensor & tan_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6867 | return at::_ops::tan_::redispatch(dispatchKeySet, self); |
| 6868 | } |
| 6869 | |
| 6870 | // aten::tan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6871 | inline at::Tensor & tan_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6872 | return at::_ops::tan_out::redispatch(dispatchKeySet, self, out); |
| 6873 | } |
| 6874 | |
| 6875 | // aten::tan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6876 | inline at::Tensor & tan_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6877 | return at::_ops::tan_out::redispatch(dispatchKeySet, self, out); |
| 6878 | } |
| 6879 | |
| 6880 | // aten::tanh(Tensor self) -> Tensor |
| 6881 | inline at::Tensor tanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6882 | return at::_ops::tanh::redispatch(dispatchKeySet, self); |
| 6883 | } |
| 6884 | |
| 6885 | // aten::tanh_(Tensor(a!) self) -> Tensor(a!) |
| 6886 | inline at::Tensor & tanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 6887 | return at::_ops::tanh_::redispatch(dispatchKeySet, self); |
| 6888 | } |
| 6889 | |
| 6890 | // aten::tanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6891 | inline at::Tensor & tanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 6892 | return at::_ops::tanh_out::redispatch(dispatchKeySet, self, out); |
| 6893 | } |
| 6894 | |
| 6895 | // aten::tanh.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 6896 | inline at::Tensor & tanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 6897 | return at::_ops::tanh_out::redispatch(dispatchKeySet, self, out); |
| 6898 | } |
| 6899 | |
| 6900 | // aten::tensordot(Tensor self, Tensor other, int[] dims_self, int[] dims_other) -> Tensor |
| 6901 | inline at::Tensor tensordot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other) { |
| 6902 | return at::_ops::tensordot::redispatch(dispatchKeySet, self, other, dims_self, dims_other); |
| 6903 | } |
| 6904 | |
| 6905 | // aten::tensordot.out(Tensor self, Tensor other, int[] dims_self, int[] dims_other, *, Tensor(a!) out) -> Tensor(a!) |
| 6906 | inline at::Tensor & tensordot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other) { |
| 6907 | return at::_ops::tensordot_out::redispatch(dispatchKeySet, self, other, dims_self, dims_other, out); |
| 6908 | } |
| 6909 | |
| 6910 | // aten::tensordot.out(Tensor self, Tensor other, int[] dims_self, int[] dims_other, *, Tensor(a!) out) -> Tensor(a!) |
| 6911 | inline at::Tensor & tensordot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other, at::Tensor & out) { |
| 6912 | return at::_ops::tensordot_out::redispatch(dispatchKeySet, self, other, dims_self, dims_other, out); |
| 6913 | } |
| 6914 | |
| 6915 | // aten::threshold(Tensor self, Scalar threshold, Scalar value) -> Tensor |
| 6916 | inline at::Tensor threshold(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value) { |
| 6917 | return at::_ops::threshold::redispatch(dispatchKeySet, self, threshold, value); |
| 6918 | } |
| 6919 | |
| 6920 | // aten::threshold_(Tensor(a!) self, Scalar threshold, Scalar value) -> Tensor(a!) |
| 6921 | inline at::Tensor & threshold_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value) { |
| 6922 | return at::_ops::threshold_::redispatch(dispatchKeySet, self, threshold, value); |
| 6923 | } |
| 6924 | |
| 6925 | // aten::threshold.out(Tensor self, Scalar threshold, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 6926 | inline at::Tensor & threshold_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value) { |
| 6927 | return at::_ops::threshold_out::redispatch(dispatchKeySet, self, threshold, value, out); |
| 6928 | } |
| 6929 | |
| 6930 | // aten::threshold.out(Tensor self, Scalar threshold, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 6931 | inline at::Tensor & threshold_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & threshold, const at::Scalar & value, at::Tensor & out) { |
| 6932 | return at::_ops::threshold_out::redispatch(dispatchKeySet, self, threshold, value, out); |
| 6933 | } |
| 6934 | |
| 6935 | // aten::threshold_backward.grad_input(Tensor grad_output, Tensor self, Scalar threshold, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6936 | inline at::Tensor & threshold_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold) { |
| 6937 | return at::_ops::threshold_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, threshold, grad_input); |
| 6938 | } |
| 6939 | |
| 6940 | // aten::threshold_backward.grad_input(Tensor grad_output, Tensor self, Scalar threshold, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 6941 | inline at::Tensor & threshold_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold, at::Tensor & grad_input) { |
| 6942 | return at::_ops::threshold_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, threshold, grad_input); |
| 6943 | } |
| 6944 | |
| 6945 | // aten::threshold_backward(Tensor grad_output, Tensor self, Scalar threshold) -> Tensor |
| 6946 | inline at::Tensor threshold_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & threshold) { |
| 6947 | return at::_ops::threshold_backward::redispatch(dispatchKeySet, grad_output, self, threshold); |
| 6948 | } |
| 6949 | |
| 6950 | // aten::tile(Tensor self, int[] dims) -> Tensor |
| 6951 | inline at::Tensor tile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims) { |
| 6952 | return at::_ops::tile::redispatch(dispatchKeySet, self, dims); |
| 6953 | } |
| 6954 | |
| 6955 | // aten::transpose.int(Tensor(a) self, int dim0, int dim1) -> Tensor(a) |
| 6956 | inline at::Tensor transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 6957 | return at::_ops::transpose_int::redispatch(dispatchKeySet, self, dim0, dim1); |
| 6958 | } |
| 6959 | |
| 6960 | // aten::transpose.Dimname(Tensor(a) self, Dimname dim0, Dimname dim1) -> Tensor(a) |
| 6961 | inline at::Tensor transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim0, at::Dimname dim1) { |
| 6962 | return at::_ops::transpose_Dimname::redispatch(dispatchKeySet, self, dim0, dim1); |
| 6963 | } |
| 6964 | |
| 6965 | // aten::_mkldnn_transpose(Tensor self, int dim0, int dim1) -> Tensor |
| 6966 | inline at::Tensor _mkldnn_transpose(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 6967 | return at::_ops::_mkldnn_transpose::redispatch(dispatchKeySet, self, dim0, dim1); |
| 6968 | } |
| 6969 | |
| 6970 | // aten::transpose_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!) |
| 6971 | inline at::Tensor & transpose_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 6972 | return at::_ops::transpose_::redispatch(dispatchKeySet, self, dim0, dim1); |
| 6973 | } |
| 6974 | |
| 6975 | // aten::_mkldnn_transpose_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!) |
| 6976 | inline at::Tensor & _mkldnn_transpose_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 6977 | return at::_ops::_mkldnn_transpose_::redispatch(dispatchKeySet, self, dim0, dim1); |
| 6978 | } |
| 6979 | |
| 6980 | // aten::one_hot(Tensor self, int num_classes=-1) -> Tensor |
| 6981 | inline at::Tensor one_hot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t num_classes=-1) { |
| 6982 | return at::_ops::one_hot::redispatch(dispatchKeySet, self, num_classes); |
| 6983 | } |
| 6984 | |
| 6985 | // aten::flip(Tensor self, int[] dims) -> Tensor |
| 6986 | inline at::Tensor flip(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims) { |
| 6987 | return at::_ops::flip::redispatch(dispatchKeySet, self, dims); |
| 6988 | } |
| 6989 | |
| 6990 | // aten::fliplr(Tensor self) -> Tensor |
| 6991 | inline at::Tensor fliplr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6992 | return at::_ops::fliplr::redispatch(dispatchKeySet, self); |
| 6993 | } |
| 6994 | |
| 6995 | // aten::flipud(Tensor self) -> Tensor |
| 6996 | inline at::Tensor flipud(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 6997 | return at::_ops::flipud::redispatch(dispatchKeySet, self); |
| 6998 | } |
| 6999 | |
| 7000 | // aten::roll(Tensor self, int[1] shifts, int[1] dims=[]) -> Tensor |
| 7001 | inline at::Tensor roll(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims={}) { |
| 7002 | return at::_ops::roll::redispatch(dispatchKeySet, self, shifts, dims); |
| 7003 | } |
| 7004 | |
| 7005 | // aten::rot90(Tensor self, int k=1, int[] dims=[0,1]) -> Tensor |
| 7006 | inline at::Tensor rot90(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k=1, at::IntArrayRef dims={0,1}) { |
| 7007 | return at::_ops::rot90::redispatch(dispatchKeySet, self, k, dims); |
| 7008 | } |
| 7009 | |
| 7010 | // aten::trapezoid.x(Tensor y, Tensor x, *, int dim=-1) -> Tensor |
| 7011 | inline at::Tensor trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Tensor & x, int64_t dim=-1) { |
| 7012 | return at::_ops::trapezoid_x::redispatch(dispatchKeySet, y, x, dim); |
| 7013 | } |
| 7014 | |
| 7015 | // aten::trapezoid.dx(Tensor y, *, Scalar dx=1, int dim=-1) -> Tensor |
| 7016 | inline at::Tensor trapezoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Scalar & dx=1, int64_t dim=-1) { |
| 7017 | return at::_ops::trapezoid_dx::redispatch(dispatchKeySet, y, dx, dim); |
| 7018 | } |
| 7019 | |
| 7020 | // aten::trapz.x(Tensor y, Tensor x, *, int dim=-1) -> Tensor |
| 7021 | inline at::Tensor trapz(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, const at::Tensor & x, int64_t dim=-1) { |
| 7022 | return at::_ops::trapz_x::redispatch(dispatchKeySet, y, x, dim); |
| 7023 | } |
| 7024 | |
| 7025 | // aten::trapz.dx(Tensor y, *, float dx=1, int dim=-1) -> Tensor |
| 7026 | inline at::Tensor trapz(c10::DispatchKeySet dispatchKeySet, const at::Tensor & y, double dx=1, int64_t dim=-1) { |
| 7027 | return at::_ops::trapz_dx::redispatch(dispatchKeySet, y, dx, dim); |
| 7028 | } |
| 7029 | |
| 7030 | // aten::_transform_bias_rescale_qkv(Tensor qkv, Tensor qkv_bias, int num_heads) -> (Tensor, Tensor, Tensor) |
| 7031 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _transform_bias_rescale_qkv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & qkv, const at::Tensor & qkv_bias, int64_t num_heads) { |
| 7032 | return at::_ops::_transform_bias_rescale_qkv::redispatch(dispatchKeySet, qkv, qkv_bias, num_heads); |
| 7033 | } |
| 7034 | |
| 7035 | // aten::_nested_tensor_from_mask(Tensor t, Tensor mask, bool mask_check=True) -> Tensor |
| 7036 | inline at::Tensor _nested_tensor_from_mask(c10::DispatchKeySet dispatchKeySet, const at::Tensor & t, const at::Tensor & mask, bool mask_check=true) { |
| 7037 | return at::_ops::_nested_tensor_from_mask::redispatch(dispatchKeySet, t, mask, mask_check); |
| 7038 | } |
| 7039 | |
| 7040 | // aten::_nested_tensor_from_mask_left_aligned(Tensor t, Tensor mask) -> bool |
| 7041 | inline bool _nested_tensor_from_mask_left_aligned(c10::DispatchKeySet dispatchKeySet, const at::Tensor & t, const at::Tensor & mask) { |
| 7042 | return at::_ops::_nested_tensor_from_mask_left_aligned::redispatch(dispatchKeySet, t, mask); |
| 7043 | } |
| 7044 | |
| 7045 | // aten::_nested_from_padded(Tensor padded, Tensor cpu_nested_shape_example, bool fuse_transform_0213=False) -> Tensor |
| 7046 | inline at::Tensor _nested_from_padded(c10::DispatchKeySet dispatchKeySet, const at::Tensor & padded, const at::Tensor & cpu_nested_shape_example, bool fuse_transform_0213=false) { |
| 7047 | return at::_ops::_nested_from_padded::redispatch(dispatchKeySet, padded, cpu_nested_shape_example, fuse_transform_0213); |
| 7048 | } |
| 7049 | |
| 7050 | // aten::_nested_tensor_size(Tensor self) -> Tensor |
| 7051 | inline at::Tensor _nested_tensor_size(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7052 | return at::_ops::_nested_tensor_size::redispatch(dispatchKeySet, self); |
| 7053 | } |
| 7054 | |
| 7055 | // aten::_nested_tensor_strides(Tensor self) -> Tensor |
| 7056 | inline at::Tensor _nested_tensor_strides(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7057 | return at::_ops::_nested_tensor_strides::redispatch(dispatchKeySet, self); |
| 7058 | } |
| 7059 | |
| 7060 | // aten::_nested_tensor_offsets(Tensor self) -> int[] |
| 7061 | inline ::std::vector<int64_t> _nested_tensor_offsets(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7062 | return at::_ops::_nested_tensor_offsets::redispatch(dispatchKeySet, self); |
| 7063 | } |
| 7064 | |
| 7065 | // aten::_nested_from_padded_and_nested_example(Tensor padded, Tensor nt_example) -> Tensor |
| 7066 | inline at::Tensor _nested_from_padded_and_nested_example(c10::DispatchKeySet dispatchKeySet, const at::Tensor & padded, const at::Tensor & nt_example) { |
| 7067 | return at::_ops::_nested_from_padded_and_nested_example::redispatch(dispatchKeySet, padded, nt_example); |
| 7068 | } |
| 7069 | |
| 7070 | // aten::_nested_view_from_buffer(Tensor(a) self, Tensor nested_size, Tensor nested_strides, int[] offsets) -> Tensor(a) |
| 7071 | inline at::Tensor _nested_view_from_buffer(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & nested_size, const at::Tensor & nested_strides, at::IntArrayRef offsets) { |
| 7072 | return at::_ops::_nested_view_from_buffer::redispatch(dispatchKeySet, self, nested_size, nested_strides, offsets); |
| 7073 | } |
| 7074 | |
| 7075 | // aten::_nested_view_from_buffer_copy(Tensor self, Tensor nested_size, Tensor nested_strides, int[] offsets) -> Tensor |
| 7076 | inline at::Tensor _nested_view_from_buffer_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & nested_size, const at::Tensor & nested_strides, at::IntArrayRef offsets) { |
| 7077 | return at::_ops::_nested_view_from_buffer_copy::redispatch(dispatchKeySet, self, nested_size, nested_strides, offsets); |
| 7078 | } |
| 7079 | |
| 7080 | // aten::_trilinear(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1) -> Tensor |
| 7081 | inline at::Tensor _trilinear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & i1, const at::Tensor & i2, const at::Tensor & i3, at::IntArrayRef expand1, at::IntArrayRef expand2, at::IntArrayRef expand3, at::IntArrayRef sumdim, int64_t unroll_dim=1) { |
| 7082 | return at::_ops::_trilinear::redispatch(dispatchKeySet, i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim); |
| 7083 | } |
| 7084 | |
| 7085 | // aten::triplet_margin_loss(Tensor anchor, Tensor positive, Tensor negative, float margin=1.0, float p=2, float eps=1e-06, bool swap=False, int reduction=Mean) -> Tensor |
| 7086 | inline at::Tensor triplet_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & anchor, const at::Tensor & positive, const at::Tensor & negative, double margin=1.0, double p=2, double eps=1e-06, bool swap=false, int64_t reduction=at::Reduction::Mean) { |
| 7087 | return at::_ops::triplet_margin_loss::redispatch(dispatchKeySet, anchor, positive, negative, margin, p, eps, swap, reduction); |
| 7088 | } |
| 7089 | |
| 7090 | // aten::trunc(Tensor self) -> Tensor |
| 7091 | inline at::Tensor trunc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7092 | return at::_ops::trunc::redispatch(dispatchKeySet, self); |
| 7093 | } |
| 7094 | |
| 7095 | // aten::trunc_(Tensor(a!) self) -> Tensor(a!) |
| 7096 | inline at::Tensor & trunc_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 7097 | return at::_ops::trunc_::redispatch(dispatchKeySet, self); |
| 7098 | } |
| 7099 | |
| 7100 | // aten::trunc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 7101 | inline at::Tensor & trunc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 7102 | return at::_ops::trunc_out::redispatch(dispatchKeySet, self, out); |
| 7103 | } |
| 7104 | |
| 7105 | // aten::trunc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 7106 | inline at::Tensor & trunc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 7107 | return at::_ops::trunc_out::redispatch(dispatchKeySet, self, out); |
| 7108 | } |
| 7109 | |
| 7110 | // aten::fix(Tensor self) -> Tensor |
| 7111 | inline at::Tensor fix(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7112 | return at::_ops::fix::redispatch(dispatchKeySet, self); |
| 7113 | } |
| 7114 | |
| 7115 | // aten::fix_(Tensor(a!) self) -> Tensor(a!) |
| 7116 | inline at::Tensor & fix_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 7117 | return at::_ops::fix_::redispatch(dispatchKeySet, self); |
| 7118 | } |
| 7119 | |
| 7120 | // aten::fix.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 7121 | inline at::Tensor & fix_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 7122 | return at::_ops::fix_out::redispatch(dispatchKeySet, self, out); |
| 7123 | } |
| 7124 | |
| 7125 | // aten::fix.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 7126 | inline at::Tensor & fix_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 7127 | return at::_ops::fix_out::redispatch(dispatchKeySet, self, out); |
| 7128 | } |
| 7129 | |
| 7130 | // aten::type_as(Tensor self, Tensor other) -> Tensor |
| 7131 | inline at::Tensor type_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 7132 | return at::_ops::type_as::redispatch(dispatchKeySet, self, other); |
| 7133 | } |
| 7134 | |
| 7135 | // aten::_has_compatible_shallow_copy_type(Tensor self, Tensor from) -> bool |
| 7136 | inline bool _has_compatible_shallow_copy_type(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & from) { |
| 7137 | return at::_ops::_has_compatible_shallow_copy_type::redispatch(dispatchKeySet, self, from); |
| 7138 | } |
| 7139 | |
| 7140 | // aten::_unique(Tensor self, bool sorted=True, bool return_inverse=False) -> (Tensor, Tensor) |
| 7141 | inline ::std::tuple<at::Tensor,at::Tensor> _unique(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted=true, bool return_inverse=false) { |
| 7142 | return at::_ops::_unique::redispatch(dispatchKeySet, self, sorted, return_inverse); |
| 7143 | } |
| 7144 | |
| 7145 | // aten::unique_dim(Tensor self, int dim, bool sorted=True, bool return_inverse=False, bool return_counts=False) -> (Tensor, Tensor, Tensor) |
| 7146 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> unique_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool sorted=true, bool return_inverse=false, bool return_counts=false) { |
| 7147 | return at::_ops::unique_dim::redispatch(dispatchKeySet, self, dim, sorted, return_inverse, return_counts); |
| 7148 | } |
| 7149 | |
| 7150 | // aten::unique_consecutive(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None) -> (Tensor, Tensor, Tensor) |
| 7151 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> unique_consecutive(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool return_inverse=false, bool return_counts=false, c10::optional<int64_t> dim=c10::nullopt) { |
| 7152 | return at::_ops::unique_consecutive::redispatch(dispatchKeySet, self, return_inverse, return_counts, dim); |
| 7153 | } |
| 7154 | |
| 7155 | // aten::unique_dim_consecutive(Tensor self, int dim, bool return_inverse=False, bool return_counts=False) -> (Tensor, Tensor, Tensor) |
| 7156 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> unique_dim_consecutive(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool return_inverse=false, bool return_counts=false) { |
| 7157 | return at::_ops::unique_dim_consecutive::redispatch(dispatchKeySet, self, dim, return_inverse, return_counts); |
| 7158 | } |
| 7159 | |
| 7160 | // aten::_unique2(Tensor self, bool sorted=True, bool return_inverse=False, bool return_counts=False) -> (Tensor, Tensor, Tensor) |
| 7161 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _unique2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted=true, bool return_inverse=false, bool return_counts=false) { |
| 7162 | return at::_ops::_unique2::redispatch(dispatchKeySet, self, sorted, return_inverse, return_counts); |
| 7163 | } |
| 7164 | |
| 7165 | // aten::_unsafe_view(Tensor self, SymInt[] size) -> Tensor |
| 7166 | inline at::Tensor _unsafe_view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 7167 | return at::_ops::_unsafe_view::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size)); |
| 7168 | } |
| 7169 | |
| 7170 | // aten::_unsafe_view(Tensor self, SymInt[] size) -> Tensor |
| 7171 | inline at::Tensor _unsafe_view_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 7172 | return at::_ops::_unsafe_view::redispatch(dispatchKeySet, self, size); |
| 7173 | } |
| 7174 | |
| 7175 | // aten::unsqueeze(Tensor(a) self, int dim) -> Tensor(a) |
| 7176 | inline at::Tensor unsqueeze(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 7177 | return at::_ops::unsqueeze::redispatch(dispatchKeySet, self, dim); |
| 7178 | } |
| 7179 | |
| 7180 | // aten::unsqueeze_(Tensor(a!) self, int dim) -> Tensor(a!) |
| 7181 | inline at::Tensor & unsqueeze_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim) { |
| 7182 | return at::_ops::unsqueeze_::redispatch(dispatchKeySet, self, dim); |
| 7183 | } |
| 7184 | |
| 7185 | // aten::vander(Tensor x, int? N=None, bool increasing=False) -> Tensor |
| 7186 | inline at::Tensor vander(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, c10::optional<int64_t> N=c10::nullopt, bool increasing=false) { |
| 7187 | return at::_ops::vander::redispatch(dispatchKeySet, x, N, increasing); |
| 7188 | } |
| 7189 | |
| 7190 | // aten::var(Tensor self, bool unbiased=True) -> Tensor |
| 7191 | inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased) { |
| 7192 | return at::_ops::var::redispatch(dispatchKeySet, self, unbiased); |
| 7193 | } |
| 7194 | |
| 7195 | // aten::var.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 7196 | inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) { |
| 7197 | return at::_ops::var_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 7198 | } |
| 7199 | |
| 7200 | // aten::var.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor |
| 7201 | inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 7202 | return at::_ops::var_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 7203 | } |
| 7204 | |
| 7205 | // aten::var.out(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7206 | inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) { |
| 7207 | return at::_ops::var_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 7208 | } |
| 7209 | |
| 7210 | // aten::var.out(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7211 | inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 7212 | return at::_ops::var_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 7213 | } |
| 7214 | |
| 7215 | // aten::var.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 7216 | inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 7217 | return at::_ops::var_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 7218 | } |
| 7219 | |
| 7220 | // aten::var.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 7221 | inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 7222 | return at::_ops::var_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 7223 | } |
| 7224 | |
| 7225 | // aten::var.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 7226 | inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim=false) { |
| 7227 | return at::_ops::var_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 7228 | } |
| 7229 | |
| 7230 | // aten::var.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7231 | inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim=false) { |
| 7232 | return at::_ops::var_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 7233 | } |
| 7234 | |
| 7235 | // aten::var.names_out(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7236 | inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 7237 | return at::_ops::var_names_out::redispatch(dispatchKeySet, self, dim, unbiased, keepdim, out); |
| 7238 | } |
| 7239 | |
| 7240 | // aten::var.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor |
| 7241 | inline at::Tensor var(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 7242 | return at::_ops::var_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 7243 | } |
| 7244 | |
| 7245 | // aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 7246 | inline at::Tensor & var_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 7247 | return at::_ops::var_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 7248 | } |
| 7249 | |
| 7250 | // aten::var.correction_names_out(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False, Tensor(a!) out) -> Tensor(a!) |
| 7251 | inline at::Tensor & var_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 7252 | return at::_ops::var_correction_names_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out); |
| 7253 | } |
| 7254 | |
| 7255 | // aten::var_mean(Tensor self, bool unbiased=True) -> (Tensor, Tensor) |
| 7256 | inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool unbiased) { |
| 7257 | return at::_ops::var_mean::redispatch(dispatchKeySet, self, unbiased); |
| 7258 | } |
| 7259 | |
| 7260 | // aten::var_mean.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor) |
| 7261 | inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) { |
| 7262 | return at::_ops::var_mean_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 7263 | } |
| 7264 | |
| 7265 | // aten::var_mean.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor) |
| 7266 | inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 7267 | return at::_ops::var_mean_correction::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 7268 | } |
| 7269 | |
| 7270 | // aten::var_mean.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> (Tensor, Tensor) |
| 7271 | inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim=false) { |
| 7272 | return at::_ops::var_mean_names_dim::redispatch(dispatchKeySet, self, dim, unbiased, keepdim); |
| 7273 | } |
| 7274 | |
| 7275 | // aten::var_mean.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> (Tensor, Tensor) |
| 7276 | inline ::std::tuple<at::Tensor,at::Tensor> var_mean(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 7277 | return at::_ops::var_mean_correction_names::redispatch(dispatchKeySet, self, dim, correction, keepdim); |
| 7278 | } |
| 7279 | |
| 7280 | // aten::view_as(Tensor(a) self, Tensor other) -> Tensor(a) |
| 7281 | inline at::Tensor view_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 7282 | return at::_ops::view_as::redispatch(dispatchKeySet, self, other); |
| 7283 | } |
| 7284 | |
| 7285 | // aten::where.self(Tensor condition, Tensor self, Tensor other) -> Tensor |
| 7286 | inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Tensor & self, const at::Tensor & other) { |
| 7287 | return at::_ops::where_self::redispatch(dispatchKeySet, condition, self, other); |
| 7288 | } |
| 7289 | |
| 7290 | // aten::where.self_out(Tensor condition, Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 7291 | inline at::Tensor & where_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & condition, const at::Tensor & self, const at::Tensor & other) { |
| 7292 | return at::_ops::where_self_out::redispatch(dispatchKeySet, condition, self, other, out); |
| 7293 | } |
| 7294 | |
| 7295 | // aten::where.self_out(Tensor condition, Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 7296 | inline at::Tensor & where_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 7297 | return at::_ops::where_self_out::redispatch(dispatchKeySet, condition, self, other, out); |
| 7298 | } |
| 7299 | |
| 7300 | // aten::where.ScalarSelf(Tensor condition, Scalar self, Tensor other) -> Tensor |
| 7301 | inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Scalar & self, const at::Tensor & other) { |
| 7302 | return at::_ops::where_ScalarSelf::redispatch(dispatchKeySet, condition, self, other); |
| 7303 | } |
| 7304 | |
| 7305 | // aten::where.ScalarOther(Tensor condition, Tensor self, Scalar other) -> Tensor |
| 7306 | inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Tensor & self, const at::Scalar & other) { |
| 7307 | return at::_ops::where_ScalarOther::redispatch(dispatchKeySet, condition, self, other); |
| 7308 | } |
| 7309 | |
| 7310 | // aten::where.Scalar(Tensor condition, Scalar self, Scalar other) -> Tensor |
| 7311 | inline at::Tensor where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition, const at::Scalar & self, const at::Scalar & other) { |
| 7312 | return at::_ops::where_Scalar::redispatch(dispatchKeySet, condition, self, other); |
| 7313 | } |
| 7314 | |
| 7315 | // aten::where(Tensor condition) -> Tensor[] |
| 7316 | inline ::std::vector<at::Tensor> where(c10::DispatchKeySet dispatchKeySet, const at::Tensor & condition) { |
| 7317 | return at::_ops::where::redispatch(dispatchKeySet, condition); |
| 7318 | } |
| 7319 | |
| 7320 | // aten::norm_except_dim(Tensor v, int pow=2, int dim=0) -> Tensor |
| 7321 | inline at::Tensor norm_except_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & v, int64_t pow=2, int64_t dim=0) { |
| 7322 | return at::_ops::norm_except_dim::redispatch(dispatchKeySet, v, pow, dim); |
| 7323 | } |
| 7324 | |
| 7325 | // aten::_weight_norm(Tensor v, Tensor g, int dim=0) -> Tensor |
| 7326 | inline at::Tensor _weight_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & v, const at::Tensor & g, int64_t dim=0) { |
| 7327 | return at::_ops::_weight_norm::redispatch(dispatchKeySet, v, g, dim); |
| 7328 | } |
| 7329 | |
| 7330 | // aten::_weight_norm_interface(Tensor v, Tensor g, int dim=0) -> (Tensor, Tensor) |
| 7331 | inline ::std::tuple<at::Tensor,at::Tensor> _weight_norm_interface(c10::DispatchKeySet dispatchKeySet, const at::Tensor & v, const at::Tensor & g, int64_t dim=0) { |
| 7332 | return at::_ops::_weight_norm_interface::redispatch(dispatchKeySet, v, g, dim); |
| 7333 | } |
| 7334 | |
| 7335 | // aten::_weight_norm_interface_backward(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, int dim) -> (Tensor, Tensor) |
| 7336 | inline ::std::tuple<at::Tensor,at::Tensor> _weight_norm_interface_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim) { |
| 7337 | return at::_ops::_weight_norm_interface_backward::redispatch(dispatchKeySet, grad_w, saved_v, saved_g, saved_norms, dim); |
| 7338 | } |
| 7339 | |
| 7340 | // aten::_weight_norm_differentiable_backward(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, int dim) -> (Tensor, Tensor) |
| 7341 | inline ::std::tuple<at::Tensor,at::Tensor> _weight_norm_differentiable_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim) { |
| 7342 | return at::_ops::_weight_norm_differentiable_backward::redispatch(dispatchKeySet, grad_w, saved_v, saved_g, saved_norms, dim); |
| 7343 | } |
| 7344 | |
| 7345 | // aten::zeros.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7346 | inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::TensorOptions options={}) { |
| 7347 | return at::_ops::zeros_names::redispatch(dispatchKeySet, size, names, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7348 | } |
| 7349 | |
| 7350 | // aten::zeros.names(int[] size, *, Dimname[]? names, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7351 | inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7352 | return at::_ops::zeros_names::redispatch(dispatchKeySet, size, names, dtype, layout, device, pin_memory); |
| 7353 | } |
| 7354 | |
| 7355 | // aten::_efficientzerotensor(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7356 | inline at::Tensor _efficientzerotensor(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) { |
| 7357 | return at::_ops::_efficientzerotensor::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7358 | } |
| 7359 | |
| 7360 | // aten::_efficientzerotensor(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7361 | inline at::Tensor _efficientzerotensor(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7362 | return at::_ops::_efficientzerotensor::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory); |
| 7363 | } |
| 7364 | |
| 7365 | // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7366 | inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options={}) { |
| 7367 | return at::_ops::zeros::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7368 | } |
| 7369 | |
| 7370 | // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7371 | inline at::Tensor zeros(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7372 | return at::_ops::zeros::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 7373 | } |
| 7374 | |
| 7375 | // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7376 | inline at::Tensor zeros_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 7377 | return at::_ops::zeros::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7378 | } |
| 7379 | |
| 7380 | // aten::zeros(SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7381 | inline at::Tensor zeros_symint(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7382 | return at::_ops::zeros::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory); |
| 7383 | } |
| 7384 | |
| 7385 | // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 7386 | inline at::Tensor & zeros_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) { |
| 7387 | return at::_ops::zeros_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 7388 | } |
| 7389 | |
| 7390 | // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 7391 | inline at::Tensor & zeros_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) { |
| 7392 | return at::_ops::zeros_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), out); |
| 7393 | } |
| 7394 | |
| 7395 | // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 7396 | inline at::Tensor & zeros_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size) { |
| 7397 | return at::_ops::zeros_out::redispatch(dispatchKeySet, size, out); |
| 7398 | } |
| 7399 | |
| 7400 | // aten::zeros.out(SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 7401 | inline at::Tensor & zeros_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, at::Tensor & out) { |
| 7402 | return at::_ops::zeros_out::redispatch(dispatchKeySet, size, out); |
| 7403 | } |
| 7404 | |
| 7405 | // aten::zeros_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 7406 | inline at::Tensor zeros_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 7407 | return at::_ops::zeros_like::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 7408 | } |
| 7409 | |
| 7410 | // aten::zeros_like(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, MemoryFormat? memory_format=None) -> Tensor |
| 7411 | inline at::Tensor zeros_like(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, c10::optional<at::MemoryFormat> memory_format) { |
| 7412 | return at::_ops::zeros_like::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, memory_format); |
| 7413 | } |
| 7414 | |
| 7415 | // aten::_standard_gamma_grad(Tensor self, Tensor output) -> Tensor |
| 7416 | inline at::Tensor _standard_gamma_grad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & output) { |
| 7417 | return at::_ops::_standard_gamma_grad::redispatch(dispatchKeySet, self, output); |
| 7418 | } |
| 7419 | |
| 7420 | // aten::_standard_gamma(Tensor self, Generator? generator=None) -> Tensor |
| 7421 | inline at::Tensor _standard_gamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 7422 | return at::_ops::_standard_gamma::redispatch(dispatchKeySet, self, generator); |
| 7423 | } |
| 7424 | |
| 7425 | // aten::_dirichlet_grad(Tensor x, Tensor alpha, Tensor total) -> Tensor |
| 7426 | inline at::Tensor _dirichlet_grad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & alpha, const at::Tensor & total) { |
| 7427 | return at::_ops::_dirichlet_grad::redispatch(dispatchKeySet, x, alpha, total); |
| 7428 | } |
| 7429 | |
| 7430 | // aten::_sample_dirichlet(Tensor self, Generator? generator=None) -> Tensor |
| 7431 | inline at::Tensor _sample_dirichlet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 7432 | return at::_ops::_sample_dirichlet::redispatch(dispatchKeySet, self, generator); |
| 7433 | } |
| 7434 | |
| 7435 | // aten::poisson(Tensor self, Generator? generator=None) -> Tensor |
| 7436 | inline at::Tensor poisson(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 7437 | return at::_ops::poisson::redispatch(dispatchKeySet, self, generator); |
| 7438 | } |
| 7439 | |
| 7440 | // aten::binomial(Tensor count, Tensor prob, Generator? generator=None) -> Tensor |
| 7441 | inline at::Tensor binomial(c10::DispatchKeySet dispatchKeySet, const at::Tensor & count, const at::Tensor & prob, c10::optional<at::Generator> generator=c10::nullopt) { |
| 7442 | return at::_ops::binomial::redispatch(dispatchKeySet, count, prob, generator); |
| 7443 | } |
| 7444 | |
| 7445 | // aten::native_norm(Tensor self, Scalar p=2) -> Tensor |
| 7446 | inline at::Tensor native_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p=2) { |
| 7447 | return at::_ops::native_norm::redispatch(dispatchKeySet, self, p); |
| 7448 | } |
| 7449 | |
| 7450 | // aten::native_norm.ScalarOpt_dim_dtype(Tensor self, Scalar? p, int[1] dim, bool keepdim, ScalarType? dtype) -> Tensor |
| 7451 | inline at::Tensor native_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 7452 | return at::_ops::native_norm_ScalarOpt_dim_dtype::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype); |
| 7453 | } |
| 7454 | |
| 7455 | // aten::_sparse_sum(Tensor self) -> Tensor |
| 7456 | inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7457 | return at::_ops::_sparse_sum::redispatch(dispatchKeySet, self); |
| 7458 | } |
| 7459 | |
| 7460 | // aten::_sparse_sum.dtype(Tensor self, *, ScalarType dtype) -> Tensor |
| 7461 | inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype) { |
| 7462 | return at::_ops::_sparse_sum_dtype::redispatch(dispatchKeySet, self, dtype); |
| 7463 | } |
| 7464 | |
| 7465 | // aten::_sparse_sum.dim(Tensor self, int[1] dim) -> Tensor |
| 7466 | inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim) { |
| 7467 | return at::_ops::_sparse_sum_dim::redispatch(dispatchKeySet, self, dim); |
| 7468 | } |
| 7469 | |
| 7470 | // aten::_sparse_sum.dim_dtype(Tensor self, int[1] dim, *, ScalarType dtype) -> Tensor |
| 7471 | inline at::Tensor _sparse_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, at::ScalarType dtype) { |
| 7472 | return at::_ops::_sparse_sum_dim_dtype::redispatch(dispatchKeySet, self, dim, dtype); |
| 7473 | } |
| 7474 | |
| 7475 | // aten::_sparse_sum_backward(Tensor grad, Tensor self, int[] dim) -> Tensor |
| 7476 | inline at::Tensor _sparse_sum_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, at::IntArrayRef dim) { |
| 7477 | return at::_ops::_sparse_sum_backward::redispatch(dispatchKeySet, grad, self, dim); |
| 7478 | } |
| 7479 | |
| 7480 | // aten::_sparse_csr_sum.dim_dtype(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 7481 | inline at::Tensor _sparse_csr_sum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 7482 | return at::_ops::_sparse_csr_sum_dim_dtype::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 7483 | } |
| 7484 | |
| 7485 | // aten::_sparse_csr_prod.dim_dtype(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 7486 | inline at::Tensor _sparse_csr_prod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 7487 | return at::_ops::_sparse_csr_prod_dim_dtype::redispatch(dispatchKeySet, self, dim, keepdim, dtype); |
| 7488 | } |
| 7489 | |
| 7490 | // aten::_sparse_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor |
| 7491 | inline at::Tensor _sparse_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 7492 | return at::_ops::_sparse_softmax_int::redispatch(dispatchKeySet, self, dim, dtype); |
| 7493 | } |
| 7494 | |
| 7495 | // aten::_sparse_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 7496 | inline at::Tensor _sparse_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 7497 | return at::_ops::_sparse_softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 7498 | } |
| 7499 | |
| 7500 | // aten::_sparse_softmax(Tensor self, int dim, bool half_to_float) -> Tensor |
| 7501 | inline at::Tensor _sparse_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 7502 | return at::_ops::_sparse_softmax::redispatch(dispatchKeySet, self, dim, half_to_float); |
| 7503 | } |
| 7504 | |
| 7505 | // aten::_sparse_softmax_backward_data(Tensor grad_output, Tensor output, int dim, Tensor self) -> Tensor |
| 7506 | inline at::Tensor _sparse_softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) { |
| 7507 | return at::_ops::_sparse_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, self); |
| 7508 | } |
| 7509 | |
| 7510 | // aten::_sparse_log_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor |
| 7511 | inline at::Tensor _sparse_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 7512 | return at::_ops::_sparse_log_softmax_int::redispatch(dispatchKeySet, self, dim, dtype); |
| 7513 | } |
| 7514 | |
| 7515 | // aten::_sparse_log_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 7516 | inline at::Tensor _sparse_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 7517 | return at::_ops::_sparse_log_softmax_Dimname::redispatch(dispatchKeySet, self, dim, dtype); |
| 7518 | } |
| 7519 | |
| 7520 | // aten::_sparse_log_softmax(Tensor self, int dim, bool half_to_float) -> Tensor |
| 7521 | inline at::Tensor _sparse_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 7522 | return at::_ops::_sparse_log_softmax::redispatch(dispatchKeySet, self, dim, half_to_float); |
| 7523 | } |
| 7524 | |
| 7525 | // aten::_sparse_log_softmax_backward_data(Tensor grad_output, Tensor output, int dim, Tensor self) -> Tensor |
| 7526 | inline at::Tensor _sparse_log_softmax_backward_data(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) { |
| 7527 | return at::_ops::_sparse_log_softmax_backward_data::redispatch(dispatchKeySet, grad_output, output, dim, self); |
| 7528 | } |
| 7529 | |
| 7530 | // aten::_spdiags(Tensor diagonals, Tensor offsets, int[] shape, Layout? layout=None) -> Tensor |
| 7531 | inline at::Tensor _spdiags(c10::DispatchKeySet dispatchKeySet, const at::Tensor & diagonals, const at::Tensor & offsets, at::IntArrayRef shape, c10::optional<at::Layout> layout=c10::nullopt) { |
| 7532 | return at::_ops::_spdiags::redispatch(dispatchKeySet, diagonals, offsets, shape, layout); |
| 7533 | } |
| 7534 | |
| 7535 | // aten::norm.ScalarOpt_dtype(Tensor self, Scalar? p, *, ScalarType dtype) -> Tensor |
| 7536 | inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::ScalarType dtype) { |
| 7537 | return at::_ops::norm_ScalarOpt_dtype::redispatch(dispatchKeySet, self, p, dtype); |
| 7538 | } |
| 7539 | |
| 7540 | // aten::norm.Scalar(Tensor self, Scalar p=2) -> Tensor |
| 7541 | inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p=2) { |
| 7542 | return at::_ops::norm_Scalar::redispatch(dispatchKeySet, self, p); |
| 7543 | } |
| 7544 | |
| 7545 | // aten::norm.ScalarOpt_dim_dtype(Tensor self, Scalar? p, int[1] dim, bool keepdim, *, ScalarType dtype) -> Tensor |
| 7546 | inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype) { |
| 7547 | return at::_ops::norm_ScalarOpt_dim_dtype::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype); |
| 7548 | } |
| 7549 | |
| 7550 | // aten::norm.ScalarOpt_dim(Tensor self, Scalar? p, int[1] dim, bool keepdim=False) -> Tensor |
| 7551 | inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim=false) { |
| 7552 | return at::_ops::norm_ScalarOpt_dim::redispatch(dispatchKeySet, self, p, dim, keepdim); |
| 7553 | } |
| 7554 | |
| 7555 | // aten::norm.dtype_out(Tensor self, Scalar? p, int[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!) |
| 7556 | inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype) { |
| 7557 | return at::_ops::norm_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out); |
| 7558 | } |
| 7559 | |
| 7560 | // aten::norm.dtype_out(Tensor self, Scalar? p, int[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!) |
| 7561 | inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype, at::Tensor & out) { |
| 7562 | return at::_ops::norm_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out); |
| 7563 | } |
| 7564 | |
| 7565 | // aten::norm.out(Tensor self, Scalar? p, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7566 | inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim=false) { |
| 7567 | return at::_ops::norm_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out); |
| 7568 | } |
| 7569 | |
| 7570 | // aten::norm.out(Tensor self, Scalar? p, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7571 | inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 7572 | return at::_ops::norm_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out); |
| 7573 | } |
| 7574 | |
| 7575 | // aten::norm.names_ScalarOpt_dim_dtype(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim, *, ScalarType dtype) -> Tensor |
| 7576 | inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) { |
| 7577 | return at::_ops::norm_names_ScalarOpt_dim_dtype::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype); |
| 7578 | } |
| 7579 | |
| 7580 | // aten::norm.names_ScalarOpt_dim(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim=False) -> Tensor |
| 7581 | inline at::Tensor norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim=false) { |
| 7582 | return at::_ops::norm_names_ScalarOpt_dim::redispatch(dispatchKeySet, self, p, dim, keepdim); |
| 7583 | } |
| 7584 | |
| 7585 | // aten::norm.names_dtype_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!) |
| 7586 | inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) { |
| 7587 | return at::_ops::norm_names_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out); |
| 7588 | } |
| 7589 | |
| 7590 | // aten::norm.names_dtype_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!) |
| 7591 | inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype, at::Tensor & out) { |
| 7592 | return at::_ops::norm_names_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out); |
| 7593 | } |
| 7594 | |
| 7595 | // aten::norm.names_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7596 | inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim=false) { |
| 7597 | return at::_ops::norm_names_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out); |
| 7598 | } |
| 7599 | |
| 7600 | // aten::norm.names_out(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7601 | inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::Tensor & out) { |
| 7602 | return at::_ops::norm_names_out::redispatch(dispatchKeySet, self, p, dim, keepdim, out); |
| 7603 | } |
| 7604 | |
| 7605 | // aten::frexp.Tensor(Tensor self) -> (Tensor mantissa, Tensor exponent) |
| 7606 | inline ::std::tuple<at::Tensor,at::Tensor> frexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7607 | return at::_ops::frexp_Tensor::redispatch(dispatchKeySet, self); |
| 7608 | } |
| 7609 | |
| 7610 | // aten::frexp.Tensor_out(Tensor self, *, Tensor(a!) mantissa, Tensor(b!) exponent) -> (Tensor(a!) mantissa, Tensor(b!) exponent) |
| 7611 | inline ::std::tuple<at::Tensor &,at::Tensor &> frexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & mantissa, at::Tensor & exponent, const at::Tensor & self) { |
| 7612 | return at::_ops::frexp_Tensor_out::redispatch(dispatchKeySet, self, mantissa, exponent); |
| 7613 | } |
| 7614 | |
| 7615 | // aten::frexp.Tensor_out(Tensor self, *, Tensor(a!) mantissa, Tensor(b!) exponent) -> (Tensor(a!) mantissa, Tensor(b!) exponent) |
| 7616 | inline ::std::tuple<at::Tensor &,at::Tensor &> frexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & mantissa, at::Tensor & exponent) { |
| 7617 | return at::_ops::frexp_Tensor_out::redispatch(dispatchKeySet, self, mantissa, exponent); |
| 7618 | } |
| 7619 | |
| 7620 | // aten::frobenius_norm.dim(Tensor self, int[1] dim, bool keepdim=False) -> Tensor |
| 7621 | inline at::Tensor frobenius_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 7622 | return at::_ops::frobenius_norm_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 7623 | } |
| 7624 | |
| 7625 | // aten::frobenius_norm.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7626 | inline at::Tensor & frobenius_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 7627 | return at::_ops::frobenius_norm_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 7628 | } |
| 7629 | |
| 7630 | // aten::frobenius_norm.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7631 | inline at::Tensor & frobenius_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 7632 | return at::_ops::frobenius_norm_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 7633 | } |
| 7634 | |
| 7635 | // aten::nuclear_norm(Tensor self, bool keepdim=False) -> Tensor |
| 7636 | inline at::Tensor nuclear_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool keepdim=false) { |
| 7637 | return at::_ops::nuclear_norm::redispatch(dispatchKeySet, self, keepdim); |
| 7638 | } |
| 7639 | |
| 7640 | // aten::nuclear_norm.out(Tensor self, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7641 | inline at::Tensor & nuclear_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool keepdim=false) { |
| 7642 | return at::_ops::nuclear_norm_out::redispatch(dispatchKeySet, self, keepdim, out); |
| 7643 | } |
| 7644 | |
| 7645 | // aten::nuclear_norm.out(Tensor self, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7646 | inline at::Tensor & nuclear_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool keepdim, at::Tensor & out) { |
| 7647 | return at::_ops::nuclear_norm_out::redispatch(dispatchKeySet, self, keepdim, out); |
| 7648 | } |
| 7649 | |
| 7650 | // aten::nuclear_norm.dim(Tensor self, int[2] dim, bool keepdim=False) -> Tensor |
| 7651 | inline at::Tensor nuclear_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 7652 | return at::_ops::nuclear_norm_dim::redispatch(dispatchKeySet, self, dim, keepdim); |
| 7653 | } |
| 7654 | |
| 7655 | // aten::nuclear_norm.dim_out(Tensor self, int[2] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7656 | inline at::Tensor & nuclear_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 7657 | return at::_ops::nuclear_norm_dim_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 7658 | } |
| 7659 | |
| 7660 | // aten::nuclear_norm.dim_out(Tensor self, int[2] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 7661 | inline at::Tensor & nuclear_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 7662 | return at::_ops::nuclear_norm_dim_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 7663 | } |
| 7664 | |
| 7665 | // aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor |
| 7666 | inline at::Tensor clone(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 7667 | return at::_ops::clone::redispatch(dispatchKeySet, self, memory_format); |
| 7668 | } |
| 7669 | |
| 7670 | // aten::positive(Tensor(a) self) -> Tensor(a) |
| 7671 | inline at::Tensor positive(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 7672 | return at::_ops::positive::redispatch(dispatchKeySet, self); |
| 7673 | } |
| 7674 | |
| 7675 | // aten::resize_as_(Tensor(a!) self, Tensor the_template, *, MemoryFormat? memory_format=None) -> Tensor(a!) |
| 7676 | inline const at::Tensor & resize_as_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 7677 | return at::_ops::resize_as_::redispatch(dispatchKeySet, self, the_template, memory_format); |
| 7678 | } |
| 7679 | |
| 7680 | // aten::resize_as_sparse_(Tensor(a!) self, Tensor the_template) -> Tensor(a!) |
| 7681 | inline const at::Tensor & resize_as_sparse_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template) { |
| 7682 | return at::_ops::resize_as_sparse_::redispatch(dispatchKeySet, self, the_template); |
| 7683 | } |
| 7684 | |
| 7685 | // aten::zero_(Tensor(a!) self) -> Tensor(a!) |
| 7686 | inline at::Tensor & zero_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 7687 | return at::_ops::zero_::redispatch(dispatchKeySet, self); |
| 7688 | } |
| 7689 | |
| 7690 | // aten::sub.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7691 | inline at::Tensor & sub_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 7692 | return at::_ops::sub_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 7693 | } |
| 7694 | |
| 7695 | // aten::sub.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7696 | inline at::Tensor & sub_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) { |
| 7697 | return at::_ops::sub_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 7698 | } |
| 7699 | |
| 7700 | // aten::sub.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 7701 | inline at::Tensor sub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 7702 | return at::_ops::sub_Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 7703 | } |
| 7704 | |
| 7705 | // aten::sub_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) |
| 7706 | inline at::Tensor & sub_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 7707 | return at::_ops::sub__Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 7708 | } |
| 7709 | |
| 7710 | // aten::sub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 7711 | inline at::Tensor sub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 7712 | return at::_ops::sub_Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 7713 | } |
| 7714 | |
| 7715 | // aten::sub_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!) |
| 7716 | inline at::Tensor & sub_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 7717 | return at::_ops::sub__Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 7718 | } |
| 7719 | |
| 7720 | // aten::subtract.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7721 | inline at::Tensor & subtract_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 7722 | return at::_ops::subtract_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 7723 | } |
| 7724 | |
| 7725 | // aten::subtract.out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7726 | inline at::Tensor & subtract_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) { |
| 7727 | return at::_ops::subtract_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 7728 | } |
| 7729 | |
| 7730 | // aten::subtract.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 7731 | inline at::Tensor subtract(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 7732 | return at::_ops::subtract_Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 7733 | } |
| 7734 | |
| 7735 | // aten::subtract_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) |
| 7736 | inline at::Tensor & subtract_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 7737 | return at::_ops::subtract__Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 7738 | } |
| 7739 | |
| 7740 | // aten::subtract.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 7741 | inline at::Tensor subtract(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 7742 | return at::_ops::subtract_Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 7743 | } |
| 7744 | |
| 7745 | // aten::subtract_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!) |
| 7746 | inline at::Tensor & subtract_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 7747 | return at::_ops::subtract__Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 7748 | } |
| 7749 | |
| 7750 | // aten::rsub.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 7751 | inline at::Tensor rsub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 7752 | return at::_ops::rsub_Tensor::redispatch(dispatchKeySet, self, other, alpha); |
| 7753 | } |
| 7754 | |
| 7755 | // aten::heaviside.out(Tensor self, Tensor values, *, Tensor(a!) out) -> Tensor(a!) |
| 7756 | inline at::Tensor & heaviside_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & values) { |
| 7757 | return at::_ops::heaviside_out::redispatch(dispatchKeySet, self, values, out); |
| 7758 | } |
| 7759 | |
| 7760 | // aten::heaviside.out(Tensor self, Tensor values, *, Tensor(a!) out) -> Tensor(a!) |
| 7761 | inline at::Tensor & heaviside_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & values, at::Tensor & out) { |
| 7762 | return at::_ops::heaviside_out::redispatch(dispatchKeySet, self, values, out); |
| 7763 | } |
| 7764 | |
| 7765 | // aten::heaviside(Tensor self, Tensor values) -> Tensor |
| 7766 | inline at::Tensor heaviside(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & values) { |
| 7767 | return at::_ops::heaviside::redispatch(dispatchKeySet, self, values); |
| 7768 | } |
| 7769 | |
| 7770 | // aten::heaviside_(Tensor(a!) self, Tensor values) -> Tensor(a!) |
| 7771 | inline at::Tensor & heaviside_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & values) { |
| 7772 | return at::_ops::heaviside_::redispatch(dispatchKeySet, self, values); |
| 7773 | } |
| 7774 | |
| 7775 | // aten::rsub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 7776 | inline at::Tensor rsub(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 7777 | return at::_ops::rsub_Scalar::redispatch(dispatchKeySet, self, other, alpha); |
| 7778 | } |
| 7779 | |
| 7780 | // aten::_sparse_addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 7781 | inline at::Tensor _sparse_addmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 7782 | return at::_ops::_sparse_addmm::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha); |
| 7783 | } |
| 7784 | |
| 7785 | // aten::sparse_sampled_addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7786 | inline at::Tensor & sparse_sampled_addmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 7787 | return at::_ops::sparse_sampled_addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 7788 | } |
| 7789 | |
| 7790 | // aten::sparse_sampled_addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7791 | inline at::Tensor & sparse_sampled_addmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 7792 | return at::_ops::sparse_sampled_addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 7793 | } |
| 7794 | |
| 7795 | // aten::sparse_sampled_addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 7796 | inline at::Tensor sparse_sampled_addmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 7797 | return at::_ops::sparse_sampled_addmm::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha); |
| 7798 | } |
| 7799 | |
| 7800 | // aten::_sparse_mm_reduce_impl(Tensor self, Tensor other, str reduce) -> (Tensor, Tensor) |
| 7801 | inline ::std::tuple<at::Tensor,at::Tensor> _sparse_mm_reduce_impl(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::string_view reduce) { |
| 7802 | return at::_ops::_sparse_mm_reduce_impl::redispatch(dispatchKeySet, self, other, reduce); |
| 7803 | } |
| 7804 | |
| 7805 | // aten::_sparse_mm_reduce_impl_backward(Tensor self, Tensor grad_out, Tensor weight, str reduce, Tensor arg_out, bool[2] output_mask) -> (Tensor, Tensor) |
| 7806 | inline ::std::tuple<at::Tensor,at::Tensor> _sparse_mm_reduce_impl_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_out, const at::Tensor & weight, c10::string_view reduce, const at::Tensor & arg_out, ::std::array<bool,2> output_mask) { |
| 7807 | return at::_ops::_sparse_mm_reduce_impl_backward::redispatch(dispatchKeySet, self, grad_out, weight, reduce, arg_out, output_mask); |
| 7808 | } |
| 7809 | |
| 7810 | // aten::addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7811 | inline at::Tensor & addmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 7812 | return at::_ops::addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 7813 | } |
| 7814 | |
| 7815 | // aten::addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 7816 | inline at::Tensor & addmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 7817 | return at::_ops::addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 7818 | } |
| 7819 | |
| 7820 | // aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 7821 | inline at::Tensor addmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 7822 | return at::_ops::addmm::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha); |
| 7823 | } |
| 7824 | |
| 7825 | // aten::addmm_(Tensor(a!) self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 7826 | inline at::Tensor & addmm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 7827 | return at::_ops::addmm_::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha); |
| 7828 | } |
| 7829 | |
| 7830 | // aten::_addmm_activation.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, bool use_gelu=False, Tensor(a!) out) -> Tensor(a!) |
| 7831 | inline at::Tensor & _addmm_activation_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1, bool use_gelu=false) { |
| 7832 | return at::_ops::_addmm_activation_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, use_gelu, out); |
| 7833 | } |
| 7834 | |
| 7835 | // aten::_addmm_activation.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, bool use_gelu=False, Tensor(a!) out) -> Tensor(a!) |
| 7836 | inline at::Tensor & _addmm_activation_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, bool use_gelu, at::Tensor & out) { |
| 7837 | return at::_ops::_addmm_activation_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, use_gelu, out); |
| 7838 | } |
| 7839 | |
| 7840 | // aten::_addmm_activation(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, bool use_gelu=False) -> Tensor |
| 7841 | inline at::Tensor _addmm_activation(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1, bool use_gelu=false) { |
| 7842 | return at::_ops::_addmm_activation::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, use_gelu); |
| 7843 | } |
| 7844 | |
| 7845 | // aten::sparse_compressed_tensor.comp_plain_value_size(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7846 | inline at::Tensor sparse_compressed_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 7847 | return at::_ops::sparse_compressed_tensor_comp_plain_value_size::redispatch(dispatchKeySet, compressed_indices, plain_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7848 | } |
| 7849 | |
| 7850 | // aten::sparse_compressed_tensor.comp_plain_value_size(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7851 | inline at::Tensor sparse_compressed_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7852 | return at::_ops::sparse_compressed_tensor_comp_plain_value_size::redispatch(dispatchKeySet, compressed_indices, plain_indices, values, size, dtype, layout, device, pin_memory); |
| 7853 | } |
| 7854 | |
| 7855 | // aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7856 | inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 7857 | return at::_ops::sparse_csr_tensor_crow_col_value_size::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7858 | } |
| 7859 | |
| 7860 | // aten::sparse_csr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7861 | inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7862 | return at::_ops::sparse_csr_tensor_crow_col_value_size::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 7863 | } |
| 7864 | |
| 7865 | // aten::sparse_csc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7866 | inline at::Tensor sparse_csc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 7867 | return at::_ops::sparse_csc_tensor_ccol_row_value_size::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7868 | } |
| 7869 | |
| 7870 | // aten::sparse_csc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7871 | inline at::Tensor sparse_csc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7872 | return at::_ops::sparse_csc_tensor_ccol_row_value_size::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 7873 | } |
| 7874 | |
| 7875 | // aten::sparse_bsr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7876 | inline at::Tensor sparse_bsr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 7877 | return at::_ops::sparse_bsr_tensor_crow_col_value_size::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7878 | } |
| 7879 | |
| 7880 | // aten::sparse_bsr_tensor.crow_col_value_size(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7881 | inline at::Tensor sparse_bsr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7882 | return at::_ops::sparse_bsr_tensor_crow_col_value_size::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 7883 | } |
| 7884 | |
| 7885 | // aten::sparse_bsc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7886 | inline at::Tensor sparse_bsc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 7887 | return at::_ops::sparse_bsc_tensor_ccol_row_value_size::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7888 | } |
| 7889 | |
| 7890 | // aten::sparse_bsc_tensor.ccol_row_value_size(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7891 | inline at::Tensor sparse_bsc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7892 | return at::_ops::sparse_bsc_tensor_ccol_row_value_size::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 7893 | } |
| 7894 | |
| 7895 | // aten::sparse_compressed_tensor.comp_plain_value(Tensor compressed_indices, Tensor plain_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7896 | inline at::Tensor sparse_compressed_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::TensorOptions options) { |
| 7897 | return at::_ops::sparse_compressed_tensor_comp_plain_value::redispatch(dispatchKeySet, compressed_indices, plain_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7898 | } |
| 7899 | |
| 7900 | // aten::sparse_compressed_tensor.comp_plain_value(Tensor compressed_indices, Tensor plain_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7901 | inline at::Tensor sparse_compressed_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7902 | return at::_ops::sparse_compressed_tensor_comp_plain_value::redispatch(dispatchKeySet, compressed_indices, plain_indices, values, dtype, layout, device, pin_memory); |
| 7903 | } |
| 7904 | |
| 7905 | // aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7906 | inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::TensorOptions options) { |
| 7907 | return at::_ops::sparse_csr_tensor_crow_col_value::redispatch(dispatchKeySet, crow_indices, col_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7908 | } |
| 7909 | |
| 7910 | // aten::sparse_csr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7911 | inline at::Tensor sparse_csr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7912 | return at::_ops::sparse_csr_tensor_crow_col_value::redispatch(dispatchKeySet, crow_indices, col_indices, values, dtype, layout, device, pin_memory); |
| 7913 | } |
| 7914 | |
| 7915 | // aten::sparse_csc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7916 | inline at::Tensor sparse_csc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::TensorOptions options) { |
| 7917 | return at::_ops::sparse_csc_tensor_ccol_row_value::redispatch(dispatchKeySet, ccol_indices, row_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7918 | } |
| 7919 | |
| 7920 | // aten::sparse_csc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7921 | inline at::Tensor sparse_csc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7922 | return at::_ops::sparse_csc_tensor_ccol_row_value::redispatch(dispatchKeySet, ccol_indices, row_indices, values, dtype, layout, device, pin_memory); |
| 7923 | } |
| 7924 | |
| 7925 | // aten::sparse_bsr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7926 | inline at::Tensor sparse_bsr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::TensorOptions options) { |
| 7927 | return at::_ops::sparse_bsr_tensor_crow_col_value::redispatch(dispatchKeySet, crow_indices, col_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7928 | } |
| 7929 | |
| 7930 | // aten::sparse_bsr_tensor.crow_col_value(Tensor crow_indices, Tensor col_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7931 | inline at::Tensor sparse_bsr_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7932 | return at::_ops::sparse_bsr_tensor_crow_col_value::redispatch(dispatchKeySet, crow_indices, col_indices, values, dtype, layout, device, pin_memory); |
| 7933 | } |
| 7934 | |
| 7935 | // aten::sparse_bsc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7936 | inline at::Tensor sparse_bsc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::TensorOptions options) { |
| 7937 | return at::_ops::sparse_bsc_tensor_ccol_row_value::redispatch(dispatchKeySet, ccol_indices, row_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7938 | } |
| 7939 | |
| 7940 | // aten::sparse_bsc_tensor.ccol_row_value(Tensor ccol_indices, Tensor row_indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7941 | inline at::Tensor sparse_bsc_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7942 | return at::_ops::sparse_bsc_tensor_ccol_row_value::redispatch(dispatchKeySet, ccol_indices, row_indices, values, dtype, layout, device, pin_memory); |
| 7943 | } |
| 7944 | |
| 7945 | // aten::_sparse_compressed_tensor_unsafe(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7946 | inline at::Tensor _sparse_compressed_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) { |
| 7947 | return at::_ops::_sparse_compressed_tensor_unsafe::redispatch(dispatchKeySet, compressed_indices, plain_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7948 | } |
| 7949 | |
| 7950 | // aten::_sparse_compressed_tensor_unsafe(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7951 | inline at::Tensor _sparse_compressed_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7952 | return at::_ops::_sparse_compressed_tensor_unsafe::redispatch(dispatchKeySet, compressed_indices, plain_indices, values, size, dtype, layout, device, pin_memory); |
| 7953 | } |
| 7954 | |
| 7955 | // aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7956 | inline at::Tensor _sparse_csr_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) { |
| 7957 | return at::_ops::_sparse_csr_tensor_unsafe::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7958 | } |
| 7959 | |
| 7960 | // aten::_sparse_csr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7961 | inline at::Tensor _sparse_csr_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7962 | return at::_ops::_sparse_csr_tensor_unsafe::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 7963 | } |
| 7964 | |
| 7965 | // aten::_sparse_csc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7966 | inline at::Tensor _sparse_csc_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) { |
| 7967 | return at::_ops::_sparse_csc_tensor_unsafe::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7968 | } |
| 7969 | |
| 7970 | // aten::_sparse_csc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7971 | inline at::Tensor _sparse_csc_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7972 | return at::_ops::_sparse_csc_tensor_unsafe::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 7973 | } |
| 7974 | |
| 7975 | // aten::_sparse_bsr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7976 | inline at::Tensor _sparse_bsr_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) { |
| 7977 | return at::_ops::_sparse_bsr_tensor_unsafe::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7978 | } |
| 7979 | |
| 7980 | // aten::_sparse_bsr_tensor_unsafe(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7981 | inline at::Tensor _sparse_bsr_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7982 | return at::_ops::_sparse_bsr_tensor_unsafe::redispatch(dispatchKeySet, crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 7983 | } |
| 7984 | |
| 7985 | // aten::_sparse_bsc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7986 | inline at::Tensor _sparse_bsc_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) { |
| 7987 | return at::_ops::_sparse_bsc_tensor_unsafe::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7988 | } |
| 7989 | |
| 7990 | // aten::_sparse_bsc_tensor_unsafe(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 7991 | inline at::Tensor _sparse_bsc_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 7992 | return at::_ops::_sparse_bsc_tensor_unsafe::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 7993 | } |
| 7994 | |
| 7995 | // aten::sparse_coo_tensor.size(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 7996 | inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::TensorOptions options) { |
| 7997 | return at::_ops::sparse_coo_tensor_size::redispatch(dispatchKeySet, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 7998 | } |
| 7999 | |
| 8000 | // aten::sparse_coo_tensor.size(int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 8001 | inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8002 | return at::_ops::sparse_coo_tensor_size::redispatch(dispatchKeySet, size, dtype, layout, device, pin_memory); |
| 8003 | } |
| 8004 | |
| 8005 | // aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8006 | inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::TensorOptions options={}) { |
| 8007 | return at::_ops::sparse_coo_tensor_indices::redispatch(dispatchKeySet, indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 8008 | } |
| 8009 | |
| 8010 | // aten::sparse_coo_tensor.indices(Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8011 | inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8012 | return at::_ops::sparse_coo_tensor_indices::redispatch(dispatchKeySet, indices, values, dtype, layout, device, pin_memory); |
| 8013 | } |
| 8014 | |
| 8015 | // aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8016 | inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) { |
| 8017 | return at::_ops::sparse_coo_tensor_indices_size::redispatch(dispatchKeySet, indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 8018 | } |
| 8019 | |
| 8020 | // aten::sparse_coo_tensor.indices_size(Tensor indices, Tensor values, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8021 | inline at::Tensor sparse_coo_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8022 | return at::_ops::sparse_coo_tensor_indices_size::redispatch(dispatchKeySet, indices, values, size, dtype, layout, device, pin_memory); |
| 8023 | } |
| 8024 | |
| 8025 | // aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8026 | inline at::Tensor _sparse_coo_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options={}) { |
| 8027 | return at::_ops::_sparse_coo_tensor_unsafe::redispatch(dispatchKeySet, indices, values, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 8028 | } |
| 8029 | |
| 8030 | // aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8031 | inline at::Tensor _sparse_coo_tensor_unsafe(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8032 | return at::_ops::_sparse_coo_tensor_unsafe::redispatch(dispatchKeySet, indices, values, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 8033 | } |
| 8034 | |
| 8035 | // aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8036 | inline at::Tensor _sparse_coo_tensor_unsafe_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, c10::SymIntArrayRef size, at::TensorOptions options={}) { |
| 8037 | return at::_ops::_sparse_coo_tensor_unsafe::redispatch(dispatchKeySet, indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 8038 | } |
| 8039 | |
| 8040 | // aten::_sparse_coo_tensor_unsafe(Tensor indices, Tensor values, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 8041 | inline at::Tensor _sparse_coo_tensor_unsafe_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8042 | return at::_ops::_sparse_coo_tensor_unsafe::redispatch(dispatchKeySet, indices, values, size, dtype, layout, device, pin_memory); |
| 8043 | } |
| 8044 | |
| 8045 | // aten::_validate_sparse_coo_tensor_args(Tensor indices, Tensor values, int[] size) -> () |
| 8046 | inline void _validate_sparse_coo_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size) { |
| 8047 | return at::_ops::_validate_sparse_coo_tensor_args::redispatch(dispatchKeySet, indices, values, size); |
| 8048 | } |
| 8049 | |
| 8050 | // aten::_validate_sparse_compressed_tensor_args(Tensor compressed_indices, Tensor plain_indices, Tensor values, int[] size, Layout layout) -> () |
| 8051 | inline void _validate_sparse_compressed_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, at::Layout layout) { |
| 8052 | return at::_ops::_validate_sparse_compressed_tensor_args::redispatch(dispatchKeySet, compressed_indices, plain_indices, values, size, layout); |
| 8053 | } |
| 8054 | |
| 8055 | // aten::_validate_sparse_csr_tensor_args(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size) -> () |
| 8056 | inline void _validate_sparse_csr_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 8057 | return at::_ops::_validate_sparse_csr_tensor_args::redispatch(dispatchKeySet, crow_indices, col_indices, values, size); |
| 8058 | } |
| 8059 | |
| 8060 | // aten::_validate_sparse_csc_tensor_args(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size) -> () |
| 8061 | inline void _validate_sparse_csc_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 8062 | return at::_ops::_validate_sparse_csc_tensor_args::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size); |
| 8063 | } |
| 8064 | |
| 8065 | // aten::_validate_sparse_bsr_tensor_args(Tensor crow_indices, Tensor col_indices, Tensor values, int[] size) -> () |
| 8066 | inline void _validate_sparse_bsr_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 8067 | return at::_ops::_validate_sparse_bsr_tensor_args::redispatch(dispatchKeySet, crow_indices, col_indices, values, size); |
| 8068 | } |
| 8069 | |
| 8070 | // aten::_validate_sparse_bsc_tensor_args(Tensor ccol_indices, Tensor row_indices, Tensor values, int[] size) -> () |
| 8071 | inline void _validate_sparse_bsc_tensor_args(c10::DispatchKeySet dispatchKeySet, const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 8072 | return at::_ops::_validate_sparse_bsc_tensor_args::redispatch(dispatchKeySet, ccol_indices, row_indices, values, size); |
| 8073 | } |
| 8074 | |
| 8075 | // aten::_sparse_coo_tensor_with_dims(int sparse_dim, int dense_dim, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 8076 | inline at::Tensor _sparse_coo_tensor_with_dims(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, at::TensorOptions options) { |
| 8077 | return at::_ops::_sparse_coo_tensor_with_dims::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 8078 | } |
| 8079 | |
| 8080 | // aten::_sparse_coo_tensor_with_dims(int sparse_dim, int dense_dim, int[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 8081 | inline at::Tensor _sparse_coo_tensor_with_dims(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8082 | return at::_ops::_sparse_coo_tensor_with_dims::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, dtype, layout, device, pin_memory); |
| 8083 | } |
| 8084 | |
| 8085 | // aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 8086 | inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values, at::TensorOptions options) { |
| 8087 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors::redispatch(dispatchKeySet, sparse_dim, dense_dim, c10::fromIntArrayRefSlow(size), indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 8088 | } |
| 8089 | |
| 8090 | // aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 8091 | inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8092 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors::redispatch(dispatchKeySet, sparse_dim, dense_dim, c10::fromIntArrayRefSlow(size), indices, values, dtype, layout, device, pin_memory); |
| 8093 | } |
| 8094 | |
| 8095 | // aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 8096 | inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors_symint(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values, at::TensorOptions options) { |
| 8097 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 8098 | } |
| 8099 | |
| 8100 | // aten::_sparse_coo_tensor_with_dims_and_tensors(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=False) -> Tensor |
| 8101 | inline at::Tensor _sparse_coo_tensor_with_dims_and_tensors_symint(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 8102 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, indices, values, dtype, layout, device, pin_memory); |
| 8103 | } |
| 8104 | |
| 8105 | // aten::sparse_resize_(Tensor(a!) self, int[] size, int sparse_dim, int dense_dim) -> Tensor(a!) |
| 8106 | inline const at::Tensor & sparse_resize_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) { |
| 8107 | return at::_ops::sparse_resize_::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim); |
| 8108 | } |
| 8109 | |
| 8110 | // aten::sparse_resize_and_clear_(Tensor(a!) self, int[] size, int sparse_dim, int dense_dim) -> Tensor(a!) |
| 8111 | inline const at::Tensor & sparse_resize_and_clear_(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) { |
| 8112 | return at::_ops::sparse_resize_and_clear_::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim); |
| 8113 | } |
| 8114 | |
| 8115 | // aten::sparse_mask(Tensor self, Tensor mask) -> Tensor |
| 8116 | inline at::Tensor sparse_mask(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask) { |
| 8117 | return at::_ops::sparse_mask::redispatch(dispatchKeySet, self, mask); |
| 8118 | } |
| 8119 | |
| 8120 | // aten::_to_cpu(Tensor[] tensors) -> Tensor[] |
| 8121 | inline ::std::vector<at::Tensor> _to_cpu(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 8122 | return at::_ops::_to_cpu::redispatch(dispatchKeySet, tensors); |
| 8123 | } |
| 8124 | |
| 8125 | // aten::to_dense(Tensor self, ScalarType? dtype=None) -> Tensor |
| 8126 | inline at::Tensor to_dense(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 8127 | return at::_ops::to_dense::redispatch(dispatchKeySet, self, dtype); |
| 8128 | } |
| 8129 | |
| 8130 | // aten::_to_dense(Tensor self, ScalarType? dtype=None) -> Tensor |
| 8131 | inline at::Tensor _to_dense(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 8132 | return at::_ops::_to_dense::redispatch(dispatchKeySet, self, dtype); |
| 8133 | } |
| 8134 | |
| 8135 | // aten::to_dense_backward(Tensor grad, Tensor input) -> Tensor |
| 8136 | inline at::Tensor to_dense_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input) { |
| 8137 | return at::_ops::to_dense_backward::redispatch(dispatchKeySet, grad, input); |
| 8138 | } |
| 8139 | |
| 8140 | // aten::sparse_dim(Tensor self) -> int |
| 8141 | inline int64_t sparse_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8142 | return at::_ops::sparse_dim::redispatch(dispatchKeySet, self); |
| 8143 | } |
| 8144 | |
| 8145 | // aten::_dimI(Tensor self) -> int |
| 8146 | inline int64_t _dimI(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8147 | return at::_ops::_dimI::redispatch(dispatchKeySet, self); |
| 8148 | } |
| 8149 | |
| 8150 | // aten::dense_dim(Tensor self) -> int |
| 8151 | inline int64_t dense_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8152 | return at::_ops::dense_dim::redispatch(dispatchKeySet, self); |
| 8153 | } |
| 8154 | |
| 8155 | // aten::_dimV(Tensor self) -> int |
| 8156 | inline int64_t _dimV(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8157 | return at::_ops::_dimV::redispatch(dispatchKeySet, self); |
| 8158 | } |
| 8159 | |
| 8160 | // aten::_nnz(Tensor self) -> int |
| 8161 | inline int64_t _nnz(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8162 | return at::_ops::_nnz::redispatch(dispatchKeySet, self); |
| 8163 | } |
| 8164 | |
| 8165 | // aten::coalesce(Tensor(a) self) -> Tensor(a) |
| 8166 | inline at::Tensor coalesce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8167 | return at::_ops::coalesce::redispatch(dispatchKeySet, self); |
| 8168 | } |
| 8169 | |
| 8170 | // aten::_coalesce(Tensor self) -> Tensor |
| 8171 | inline at::Tensor _coalesce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8172 | return at::_ops::_coalesce::redispatch(dispatchKeySet, self); |
| 8173 | } |
| 8174 | |
| 8175 | // aten::is_coalesced(Tensor self) -> bool |
| 8176 | inline bool is_coalesced(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8177 | return at::_ops::is_coalesced::redispatch(dispatchKeySet, self); |
| 8178 | } |
| 8179 | |
| 8180 | // aten::_indices(Tensor(a) self) -> Tensor(a) |
| 8181 | inline at::Tensor _indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8182 | return at::_ops::_indices::redispatch(dispatchKeySet, self); |
| 8183 | } |
| 8184 | |
| 8185 | // aten::_values(Tensor(a) self) -> Tensor(a) |
| 8186 | inline at::Tensor _values(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8187 | return at::_ops::_values::redispatch(dispatchKeySet, self); |
| 8188 | } |
| 8189 | |
| 8190 | // aten::_coalesced_(Tensor(a!) self, bool coalesced) -> Tensor(a!) |
| 8191 | inline at::Tensor & _coalesced_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, bool coalesced) { |
| 8192 | return at::_ops::_coalesced_::redispatch(dispatchKeySet, self, coalesced); |
| 8193 | } |
| 8194 | |
| 8195 | // aten::indices(Tensor(a) self) -> Tensor(a) |
| 8196 | inline at::Tensor indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8197 | return at::_ops::indices::redispatch(dispatchKeySet, self); |
| 8198 | } |
| 8199 | |
| 8200 | // aten::values(Tensor(a) self) -> Tensor(a) |
| 8201 | inline at::Tensor values(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8202 | return at::_ops::values::redispatch(dispatchKeySet, self); |
| 8203 | } |
| 8204 | |
| 8205 | // aten::crow_indices(Tensor(a) self) -> Tensor(a) |
| 8206 | inline at::Tensor crow_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8207 | return at::_ops::crow_indices::redispatch(dispatchKeySet, self); |
| 8208 | } |
| 8209 | |
| 8210 | // aten::col_indices(Tensor(a) self) -> Tensor(a) |
| 8211 | inline at::Tensor col_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8212 | return at::_ops::col_indices::redispatch(dispatchKeySet, self); |
| 8213 | } |
| 8214 | |
| 8215 | // aten::ccol_indices(Tensor(a) self) -> Tensor(a) |
| 8216 | inline at::Tensor ccol_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8217 | return at::_ops::ccol_indices::redispatch(dispatchKeySet, self); |
| 8218 | } |
| 8219 | |
| 8220 | // aten::row_indices(Tensor(a) self) -> Tensor(a) |
| 8221 | inline at::Tensor row_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8222 | return at::_ops::row_indices::redispatch(dispatchKeySet, self); |
| 8223 | } |
| 8224 | |
| 8225 | // aten::hspmm.out(Tensor mat1, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!) |
| 8226 | inline at::Tensor & hspmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & mat1, const at::Tensor & mat2) { |
| 8227 | return at::_ops::hspmm_out::redispatch(dispatchKeySet, mat1, mat2, out); |
| 8228 | } |
| 8229 | |
| 8230 | // aten::hspmm.out(Tensor mat1, Tensor mat2, *, Tensor(a!) out) -> Tensor(a!) |
| 8231 | inline at::Tensor & hspmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mat1, const at::Tensor & mat2, at::Tensor & out) { |
| 8232 | return at::_ops::hspmm_out::redispatch(dispatchKeySet, mat1, mat2, out); |
| 8233 | } |
| 8234 | |
| 8235 | // aten::hspmm(Tensor mat1, Tensor mat2) -> Tensor |
| 8236 | inline at::Tensor hspmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mat1, const at::Tensor & mat2) { |
| 8237 | return at::_ops::hspmm::redispatch(dispatchKeySet, mat1, mat2); |
| 8238 | } |
| 8239 | |
| 8240 | // aten::copy_sparse_to_sparse_(Tensor(a!) self, Tensor src, bool non_blocking=False) -> Tensor(a!) |
| 8241 | inline at::Tensor & copy_sparse_to_sparse_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & src, bool non_blocking=false) { |
| 8242 | return at::_ops::copy_sparse_to_sparse_::redispatch(dispatchKeySet, self, src, non_blocking); |
| 8243 | } |
| 8244 | |
| 8245 | // aten::unbind.int(Tensor(a -> *) self, int dim=0) -> Tensor(a)[] |
| 8246 | inline ::std::vector<at::Tensor> unbind(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0) { |
| 8247 | return at::_ops::unbind_int::redispatch(dispatchKeySet, self, dim); |
| 8248 | } |
| 8249 | |
| 8250 | // aten::unbind.Dimname(Tensor(a -> *) self, Dimname dim) -> Tensor(a)[] |
| 8251 | inline ::std::vector<at::Tensor> unbind(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim) { |
| 8252 | return at::_ops::unbind_Dimname::redispatch(dispatchKeySet, self, dim); |
| 8253 | } |
| 8254 | |
| 8255 | // aten::to_sparse.sparse_dim(Tensor self, int sparse_dim) -> Tensor |
| 8256 | inline at::Tensor to_sparse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sparse_dim) { |
| 8257 | return at::_ops::to_sparse_sparse_dim::redispatch(dispatchKeySet, self, sparse_dim); |
| 8258 | } |
| 8259 | |
| 8260 | // aten::to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor |
| 8261 | inline at::Tensor to_sparse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Layout> layout=c10::nullopt, at::OptionalIntArrayRef blocksize=c10::nullopt, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 8262 | return at::_ops::to_sparse::redispatch(dispatchKeySet, self, layout, blocksize, dense_dim); |
| 8263 | } |
| 8264 | |
| 8265 | // aten::to_sparse_csr(Tensor self, int? dense_dim=None) -> Tensor |
| 8266 | inline at::Tensor to_sparse_csr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 8267 | return at::_ops::to_sparse_csr::redispatch(dispatchKeySet, self, dense_dim); |
| 8268 | } |
| 8269 | |
| 8270 | // aten::to_sparse_csc(Tensor self, int? dense_dim=None) -> Tensor |
| 8271 | inline at::Tensor to_sparse_csc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 8272 | return at::_ops::to_sparse_csc::redispatch(dispatchKeySet, self, dense_dim); |
| 8273 | } |
| 8274 | |
| 8275 | // aten::to_sparse_bsr(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor |
| 8276 | inline at::Tensor to_sparse_bsr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 8277 | return at::_ops::to_sparse_bsr::redispatch(dispatchKeySet, self, blocksize, dense_dim); |
| 8278 | } |
| 8279 | |
| 8280 | // aten::to_sparse_bsc(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor |
| 8281 | inline at::Tensor to_sparse_bsc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 8282 | return at::_ops::to_sparse_bsc::redispatch(dispatchKeySet, self, blocksize, dense_dim); |
| 8283 | } |
| 8284 | |
| 8285 | // aten::to_mkldnn(Tensor self, ScalarType? dtype=None) -> Tensor |
| 8286 | inline at::Tensor to_mkldnn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 8287 | return at::_ops::to_mkldnn::redispatch(dispatchKeySet, self, dtype); |
| 8288 | } |
| 8289 | |
| 8290 | // aten::mkldnn_reorder_conv2d_weight(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1, int[]? input_size=None) -> Tensor |
| 8291 | inline at::Tensor mkldnn_reorder_conv2d_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding=0, at::IntArrayRef stride=1, at::IntArrayRef dilation=1, int64_t groups=1, at::OptionalIntArrayRef input_size=c10::nullopt) { |
| 8292 | return at::_ops::mkldnn_reorder_conv2d_weight::redispatch(dispatchKeySet, self, padding, stride, dilation, groups, input_size); |
| 8293 | } |
| 8294 | |
| 8295 | // aten::mkldnn_reorder_conv3d_weight(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1) -> Tensor |
| 8296 | inline at::Tensor mkldnn_reorder_conv3d_weight(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding=0, at::IntArrayRef stride=1, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 8297 | return at::_ops::mkldnn_reorder_conv3d_weight::redispatch(dispatchKeySet, self, padding, stride, dilation, groups); |
| 8298 | } |
| 8299 | |
| 8300 | // aten::to_mkldnn_backward(Tensor grad, Tensor input) -> Tensor |
| 8301 | inline at::Tensor to_mkldnn_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input) { |
| 8302 | return at::_ops::to_mkldnn_backward::redispatch(dispatchKeySet, grad, input); |
| 8303 | } |
| 8304 | |
| 8305 | // aten::quantize_per_tensor_dynamic(Tensor self, ScalarType dtype, bool reduce_range) -> Tensor |
| 8306 | inline at::Tensor quantize_per_tensor_dynamic(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype, bool reduce_range) { |
| 8307 | return at::_ops::quantize_per_tensor_dynamic::redispatch(dispatchKeySet, self, dtype, reduce_range); |
| 8308 | } |
| 8309 | |
| 8310 | // aten::quantize_per_tensor(Tensor self, float scale, int zero_point, ScalarType dtype) -> Tensor |
| 8311 | inline at::Tensor quantize_per_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, at::ScalarType dtype) { |
| 8312 | return at::_ops::quantize_per_tensor::redispatch(dispatchKeySet, self, scale, zero_point, dtype); |
| 8313 | } |
| 8314 | |
| 8315 | // aten::quantize_per_tensor.tensor_qparams(Tensor self, Tensor scale, Tensor zero_point, ScalarType dtype) -> Tensor |
| 8316 | inline at::Tensor quantize_per_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, at::ScalarType dtype) { |
| 8317 | return at::_ops::quantize_per_tensor_tensor_qparams::redispatch(dispatchKeySet, self, scale, zero_point, dtype); |
| 8318 | } |
| 8319 | |
| 8320 | // aten::quantize_per_tensor.tensors(Tensor[] tensors, Tensor scales, Tensor zero_points, ScalarType dtype) -> Tensor[] |
| 8321 | inline ::std::vector<at::Tensor> quantize_per_tensor(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, const at::Tensor & scales, const at::Tensor & zero_points, at::ScalarType dtype) { |
| 8322 | return at::_ops::quantize_per_tensor_tensors::redispatch(dispatchKeySet, tensors, scales, zero_points, dtype); |
| 8323 | } |
| 8324 | |
| 8325 | // aten::quantize_per_channel(Tensor self, Tensor scales, Tensor zero_points, int axis, ScalarType dtype) -> Tensor |
| 8326 | inline at::Tensor quantize_per_channel(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, at::ScalarType dtype) { |
| 8327 | return at::_ops::quantize_per_channel::redispatch(dispatchKeySet, self, scales, zero_points, axis, dtype); |
| 8328 | } |
| 8329 | |
| 8330 | // aten::dequantize.self(Tensor self) -> Tensor |
| 8331 | inline at::Tensor dequantize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8332 | return at::_ops::dequantize_self::redispatch(dispatchKeySet, self); |
| 8333 | } |
| 8334 | |
| 8335 | // aten::dequantize.tensors(Tensor[] tensors) -> Tensor[] |
| 8336 | inline ::std::vector<at::Tensor> dequantize(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 8337 | return at::_ops::dequantize_tensors::redispatch(dispatchKeySet, tensors); |
| 8338 | } |
| 8339 | |
| 8340 | // aten::q_scale(Tensor self) -> float |
| 8341 | inline double q_scale(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8342 | return at::_ops::q_scale::redispatch(dispatchKeySet, self); |
| 8343 | } |
| 8344 | |
| 8345 | // aten::q_zero_point(Tensor self) -> int |
| 8346 | inline int64_t q_zero_point(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8347 | return at::_ops::q_zero_point::redispatch(dispatchKeySet, self); |
| 8348 | } |
| 8349 | |
| 8350 | // aten::q_per_channel_scales(Tensor self) -> Tensor |
| 8351 | inline at::Tensor q_per_channel_scales(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8352 | return at::_ops::q_per_channel_scales::redispatch(dispatchKeySet, self); |
| 8353 | } |
| 8354 | |
| 8355 | // aten::q_per_channel_zero_points(Tensor self) -> Tensor |
| 8356 | inline at::Tensor q_per_channel_zero_points(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8357 | return at::_ops::q_per_channel_zero_points::redispatch(dispatchKeySet, self); |
| 8358 | } |
| 8359 | |
| 8360 | // aten::q_per_channel_axis(Tensor self) -> int |
| 8361 | inline int64_t q_per_channel_axis(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8362 | return at::_ops::q_per_channel_axis::redispatch(dispatchKeySet, self); |
| 8363 | } |
| 8364 | |
| 8365 | // aten::int_repr(Tensor self) -> Tensor |
| 8366 | inline at::Tensor int_repr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8367 | return at::_ops::int_repr::redispatch(dispatchKeySet, self); |
| 8368 | } |
| 8369 | |
| 8370 | // aten::_make_per_tensor_quantized_tensor(Tensor self, float scale, int zero_point) -> Tensor |
| 8371 | inline at::Tensor _make_per_tensor_quantized_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point) { |
| 8372 | return at::_ops::_make_per_tensor_quantized_tensor::redispatch(dispatchKeySet, self, scale, zero_point); |
| 8373 | } |
| 8374 | |
| 8375 | // aten::_make_per_channel_quantized_tensor(Tensor self, Tensor scale, Tensor zero_point, int axis) -> Tensor |
| 8376 | inline at::Tensor _make_per_channel_quantized_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis) { |
| 8377 | return at::_ops::_make_per_channel_quantized_tensor::redispatch(dispatchKeySet, self, scale, zero_point, axis); |
| 8378 | } |
| 8379 | |
| 8380 | // aten::qscheme(Tensor self) -> QScheme |
| 8381 | inline at::QScheme qscheme(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8382 | return at::_ops::qscheme::redispatch(dispatchKeySet, self); |
| 8383 | } |
| 8384 | |
| 8385 | // aten::fake_quantize_per_tensor_affine(Tensor self, float scale, int zero_point, int quant_min, int quant_max) -> Tensor |
| 8386 | inline at::Tensor fake_quantize_per_tensor_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) { |
| 8387 | return at::_ops::fake_quantize_per_tensor_affine::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max); |
| 8388 | } |
| 8389 | |
| 8390 | // aten::fake_quantize_per_tensor_affine.tensor_qparams(Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max) -> Tensor |
| 8391 | inline at::Tensor fake_quantize_per_tensor_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max) { |
| 8392 | return at::_ops::fake_quantize_per_tensor_affine_tensor_qparams::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max); |
| 8393 | } |
| 8394 | |
| 8395 | // aten::fake_quantize_per_tensor_affine_cachemask(Tensor self, float scale, int zero_point, int quant_min, int quant_max) -> (Tensor output, Tensor mask) |
| 8396 | inline ::std::tuple<at::Tensor,at::Tensor> fake_quantize_per_tensor_affine_cachemask(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) { |
| 8397 | return at::_ops::fake_quantize_per_tensor_affine_cachemask::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max); |
| 8398 | } |
| 8399 | |
| 8400 | // aten::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams(Tensor self, Tensor scale, Tensor zero_point, Tensor fake_quant_enabled, int quant_min, int quant_max) -> (Tensor output, Tensor mask) |
| 8401 | inline ::std::tuple<at::Tensor,at::Tensor> _fake_quantize_per_tensor_affine_cachemask_tensor_qparams(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, const at::Tensor & fake_quant_enabled, int64_t quant_min, int64_t quant_max) { |
| 8402 | return at::_ops::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams::redispatch(dispatchKeySet, self, scale, zero_point, fake_quant_enabled, quant_min, quant_max); |
| 8403 | } |
| 8404 | |
| 8405 | // aten::fake_quantize_per_tensor_affine_cachemask_backward(Tensor grad, Tensor mask) -> Tensor |
| 8406 | inline at::Tensor fake_quantize_per_tensor_affine_cachemask_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & mask) { |
| 8407 | return at::_ops::fake_quantize_per_tensor_affine_cachemask_backward::redispatch(dispatchKeySet, grad, mask); |
| 8408 | } |
| 8409 | |
| 8410 | // aten::_fake_quantize_learnable_per_tensor_affine(Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max, float grad_factor=1.0) -> Tensor |
| 8411 | inline at::Tensor _fake_quantize_learnable_per_tensor_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) { |
| 8412 | return at::_ops::_fake_quantize_learnable_per_tensor_affine::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max, grad_factor); |
| 8413 | } |
| 8414 | |
| 8415 | // aten::_fake_quantize_learnable_per_tensor_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max, float grad_factor=1.0) -> (Tensor, Tensor, Tensor) |
| 8416 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _fake_quantize_learnable_per_tensor_affine_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) { |
| 8417 | return at::_ops::_fake_quantize_learnable_per_tensor_affine_backward::redispatch(dispatchKeySet, grad, self, scale, zero_point, quant_min, quant_max, grad_factor); |
| 8418 | } |
| 8419 | |
| 8420 | // aten::fake_quantize_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max) -> Tensor |
| 8421 | inline at::Tensor fake_quantize_per_channel_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max) { |
| 8422 | return at::_ops::fake_quantize_per_channel_affine::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max); |
| 8423 | } |
| 8424 | |
| 8425 | // aten::fake_quantize_per_channel_affine_cachemask(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max) -> (Tensor output, Tensor mask) |
| 8426 | inline ::std::tuple<at::Tensor,at::Tensor> fake_quantize_per_channel_affine_cachemask(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max) { |
| 8427 | return at::_ops::fake_quantize_per_channel_affine_cachemask::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max); |
| 8428 | } |
| 8429 | |
| 8430 | // aten::fake_quantize_per_channel_affine_cachemask_backward(Tensor grad, Tensor mask) -> Tensor |
| 8431 | inline at::Tensor fake_quantize_per_channel_affine_cachemask_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & mask) { |
| 8432 | return at::_ops::fake_quantize_per_channel_affine_cachemask_backward::redispatch(dispatchKeySet, grad, mask); |
| 8433 | } |
| 8434 | |
| 8435 | // aten::_fake_quantize_learnable_per_channel_affine(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, float grad_factor=1.0) -> Tensor |
| 8436 | inline at::Tensor _fake_quantize_learnable_per_channel_affine(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) { |
| 8437 | return at::_ops::_fake_quantize_learnable_per_channel_affine::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max, grad_factor); |
| 8438 | } |
| 8439 | |
| 8440 | // aten::_fake_quantize_learnable_per_channel_affine_backward(Tensor grad, Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, float grad_factor=1.0) -> (Tensor, Tensor, Tensor) |
| 8441 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _fake_quantize_learnable_per_channel_affine_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) { |
| 8442 | return at::_ops::_fake_quantize_learnable_per_channel_affine_backward::redispatch(dispatchKeySet, grad, self, scale, zero_point, axis, quant_min, quant_max, grad_factor); |
| 8443 | } |
| 8444 | |
| 8445 | // aten::fused_moving_avg_obs_fake_quant(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor(a!) running_min, Tensor(b!) running_max, Tensor(c!) scale, Tensor(d!) zero_point, float averaging_const, int quant_min, int quant_max, int ch_axis, bool per_row_fake_quant=False, bool symmetric_quant=False) -> Tensor |
| 8446 | inline at::Tensor fused_moving_avg_obs_fake_quant(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & observer_on, const at::Tensor & fake_quant_on, at::Tensor & running_min, at::Tensor & running_max, at::Tensor & scale, at::Tensor & zero_point, double averaging_const, int64_t quant_min, int64_t quant_max, int64_t ch_axis, bool per_row_fake_quant=false, bool symmetric_quant=false) { |
| 8447 | return at::_ops::fused_moving_avg_obs_fake_quant::redispatch(dispatchKeySet, self, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant, symmetric_quant); |
| 8448 | } |
| 8449 | |
| 8450 | // aten::_fused_moving_avg_obs_fq_helper(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor(a!) running_min, Tensor(b!) running_max, Tensor(c!) scale, Tensor(d!) zero_point, float averaging_const, int quant_min, int quant_max, int ch_axis, bool per_row_fake_quant=False, bool symmetric_quant=False) -> (Tensor output, Tensor mask) |
| 8451 | inline ::std::tuple<at::Tensor,at::Tensor> _fused_moving_avg_obs_fq_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & observer_on, const at::Tensor & fake_quant_on, at::Tensor & running_min, at::Tensor & running_max, at::Tensor & scale, at::Tensor & zero_point, double averaging_const, int64_t quant_min, int64_t quant_max, int64_t ch_axis, bool per_row_fake_quant=false, bool symmetric_quant=false) { |
| 8452 | return at::_ops::_fused_moving_avg_obs_fq_helper::redispatch(dispatchKeySet, self, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant, symmetric_quant); |
| 8453 | } |
| 8454 | |
| 8455 | // aten::_choose_qparams_per_tensor(Tensor self, bool reduce_range=False) -> (float, int) |
| 8456 | inline ::std::tuple<double,int64_t> _choose_qparams_per_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool reduce_range=false) { |
| 8457 | return at::_ops::_choose_qparams_per_tensor::redispatch(dispatchKeySet, self, reduce_range); |
| 8458 | } |
| 8459 | |
| 8460 | // aten::_saturate_weight_to_fp16(Tensor weight) -> Tensor |
| 8461 | inline at::Tensor _saturate_weight_to_fp16(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight) { |
| 8462 | return at::_ops::_saturate_weight_to_fp16::redispatch(dispatchKeySet, weight); |
| 8463 | } |
| 8464 | |
| 8465 | // aten::choose_qparams_optimized(Tensor input, int numel, int n_bins, float ratio, int bit_width) -> (Tensor, Tensor) |
| 8466 | inline ::std::tuple<at::Tensor,at::Tensor> choose_qparams_optimized(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, int64_t numel, int64_t n_bins, double ratio, int64_t bit_width) { |
| 8467 | return at::_ops::choose_qparams_optimized::redispatch(dispatchKeySet, input, numel, n_bins, ratio, bit_width); |
| 8468 | } |
| 8469 | |
| 8470 | // aten::_autocast_to_reduced_precision(Tensor(a) self, bool cuda_enabled, bool cpu_enabled, ScalarType cuda_dtype, ScalarType cpu_dtype) -> Tensor(a) |
| 8471 | inline at::Tensor _autocast_to_reduced_precision(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool cuda_enabled, bool cpu_enabled, at::ScalarType cuda_dtype, at::ScalarType cpu_dtype) { |
| 8472 | return at::_ops::_autocast_to_reduced_precision::redispatch(dispatchKeySet, self, cuda_enabled, cpu_enabled, cuda_dtype, cpu_dtype); |
| 8473 | } |
| 8474 | |
| 8475 | // aten::_autocast_to_full_precision(Tensor(a) self, bool cuda_enabled, bool cpu_enabled) -> Tensor(a) |
| 8476 | inline at::Tensor _autocast_to_full_precision(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool cuda_enabled, bool cpu_enabled) { |
| 8477 | return at::_ops::_autocast_to_full_precision::redispatch(dispatchKeySet, self, cuda_enabled, cpu_enabled); |
| 8478 | } |
| 8479 | |
| 8480 | // aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor |
| 8481 | inline at::Tensor _to_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, bool non_blocking=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 8482 | return at::_ops::_to_copy::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), non_blocking, c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 8483 | } |
| 8484 | |
| 8485 | // aten::_to_copy(Tensor self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, MemoryFormat? memory_format=None) -> Tensor |
| 8486 | inline at::Tensor _to_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, bool non_blocking, c10::optional<at::MemoryFormat> memory_format) { |
| 8487 | return at::_ops::_to_copy::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, non_blocking, memory_format); |
| 8488 | } |
| 8489 | |
| 8490 | // aten::to.dtype_layout(Tensor(a) self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 8491 | inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorOptions options={}, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 8492 | return at::_ops::to_dtype_layout::redispatch(dispatchKeySet, self, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt(), non_blocking, copy, c10::impl::check_tensor_options_and_extract_memory_format(options, memory_format)); |
| 8493 | } |
| 8494 | |
| 8495 | // aten::to.dtype_layout(Tensor(a) self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 8496 | inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 8497 | return at::_ops::to_dtype_layout::redispatch(dispatchKeySet, self, dtype, layout, device, pin_memory, non_blocking, copy, memory_format); |
| 8498 | } |
| 8499 | |
| 8500 | // aten::to.device(Tensor(a) self, Device device, ScalarType dtype, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 8501 | inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Device device, at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 8502 | return at::_ops::to_device::redispatch(dispatchKeySet, self, device, dtype, non_blocking, copy, memory_format); |
| 8503 | } |
| 8504 | |
| 8505 | // aten::to.dtype(Tensor(a) self, ScalarType dtype, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 8506 | inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 8507 | return at::_ops::to_dtype::redispatch(dispatchKeySet, self, dtype, non_blocking, copy, memory_format); |
| 8508 | } |
| 8509 | |
| 8510 | // aten::to.other(Tensor(a) self, Tensor other, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 8511 | inline at::Tensor to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 8512 | return at::_ops::to_other::redispatch(dispatchKeySet, self, other, non_blocking, copy, memory_format); |
| 8513 | } |
| 8514 | |
| 8515 | // aten::meshgrid(Tensor[] tensors) -> Tensor[] |
| 8516 | inline ::std::vector<at::Tensor> meshgrid(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 8517 | return at::_ops::meshgrid::redispatch(dispatchKeySet, tensors); |
| 8518 | } |
| 8519 | |
| 8520 | // aten::meshgrid.indexing(Tensor[] tensors, *, str indexing) -> Tensor[] |
| 8521 | inline ::std::vector<at::Tensor> meshgrid(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, c10::string_view indexing) { |
| 8522 | return at::_ops::meshgrid_indexing::redispatch(dispatchKeySet, tensors, indexing); |
| 8523 | } |
| 8524 | |
| 8525 | // aten::cartesian_prod(Tensor[] tensors) -> Tensor |
| 8526 | inline at::Tensor cartesian_prod(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 8527 | return at::_ops::cartesian_prod::redispatch(dispatchKeySet, tensors); |
| 8528 | } |
| 8529 | |
| 8530 | // aten::combinations(Tensor self, int r=2, bool with_replacement=False) -> Tensor |
| 8531 | inline at::Tensor combinations(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t r=2, bool with_replacement=false) { |
| 8532 | return at::_ops::combinations::redispatch(dispatchKeySet, self, r, with_replacement); |
| 8533 | } |
| 8534 | |
| 8535 | // aten::item(Tensor self) -> Scalar |
| 8536 | inline at::Scalar item(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8537 | return at::_ops::item::redispatch(dispatchKeySet, self); |
| 8538 | } |
| 8539 | |
| 8540 | // aten::result_type.Tensor(Tensor tensor, Tensor other) -> ScalarType |
| 8541 | inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Tensor & tensor, const at::Tensor & other) { |
| 8542 | return at::_ops::result_type_Tensor::redispatch(dispatchKeySet, tensor, other); |
| 8543 | } |
| 8544 | |
| 8545 | // aten::result_type.Scalar(Tensor tensor, Scalar other) -> ScalarType |
| 8546 | inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Tensor & tensor, const at::Scalar & other) { |
| 8547 | return at::_ops::result_type_Scalar::redispatch(dispatchKeySet, tensor, other); |
| 8548 | } |
| 8549 | |
| 8550 | // aten::result_type.Scalar_Tensor(Scalar scalar, Tensor tensor) -> ScalarType |
| 8551 | inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Scalar & scalar, const at::Tensor & tensor) { |
| 8552 | return at::_ops::result_type_Scalar_Tensor::redispatch(dispatchKeySet, scalar, tensor); |
| 8553 | } |
| 8554 | |
| 8555 | // aten::result_type.Scalar_Scalar(Scalar scalar1, Scalar scalar2) -> ScalarType |
| 8556 | inline at::ScalarType result_type(c10::DispatchKeySet dispatchKeySet, const at::Scalar & scalar1, const at::Scalar & scalar2) { |
| 8557 | return at::_ops::result_type_Scalar_Scalar::redispatch(dispatchKeySet, scalar1, scalar2); |
| 8558 | } |
| 8559 | |
| 8560 | // aten::can_cast(ScalarType from, ScalarType to) -> bool |
| 8561 | inline bool can_cast(c10::DispatchKeySet dispatchKeySet, at::ScalarType from, at::ScalarType to) { |
| 8562 | return at::_ops::can_cast::redispatch(dispatchKeySet, from, to); |
| 8563 | } |
| 8564 | |
| 8565 | // aten::promote_types(ScalarType type1, ScalarType type2) -> ScalarType |
| 8566 | inline at::ScalarType promote_types(c10::DispatchKeySet dispatchKeySet, at::ScalarType type1, at::ScalarType type2) { |
| 8567 | return at::_ops::promote_types::redispatch(dispatchKeySet, type1, type2); |
| 8568 | } |
| 8569 | |
| 8570 | // aten::_local_scalar_dense(Tensor self) -> Scalar |
| 8571 | inline at::Scalar _local_scalar_dense(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8572 | return at::_ops::_local_scalar_dense::redispatch(dispatchKeySet, self); |
| 8573 | } |
| 8574 | |
| 8575 | // aten::_lstm_mps(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 8576 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _lstm_mps(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 8577 | return at::_ops::_lstm_mps::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 8578 | } |
| 8579 | |
| 8580 | // aten::lstm_mps_backward(Tensor grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor[], Tensor[]) |
| 8581 | inline ::std::tuple<at::Tensor,::std::vector<at::Tensor>,::std::vector<at::Tensor>> lstm_mps_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_y, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & z_state, const at::Tensor & cell_state_fwd, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 8582 | return at::_ops::lstm_mps_backward::redispatch(dispatchKeySet, grad_y, grad_hy, grad_cy, z_state, cell_state_fwd, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 8583 | } |
| 8584 | |
| 8585 | // aten::_thnn_fused_lstm_cell(Tensor input_gates, Tensor hidden_gates, Tensor cx, Tensor? input_bias=None, Tensor? hidden_bias=None) -> (Tensor, Tensor, Tensor) |
| 8586 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _thnn_fused_lstm_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & cx, const c10::optional<at::Tensor> & input_bias={}, const c10::optional<at::Tensor> & hidden_bias={}) { |
| 8587 | return at::_ops::_thnn_fused_lstm_cell::redispatch(dispatchKeySet, input_gates, hidden_gates, cx, input_bias, hidden_bias); |
| 8588 | } |
| 8589 | |
| 8590 | // aten::_thnn_fused_lstm_cell_backward_impl(Tensor? grad_hy, Tensor? grad_cy, Tensor cx, Tensor cy, Tensor workspace, bool has_bias) -> (Tensor, Tensor, Tensor) |
| 8591 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _thnn_fused_lstm_cell_backward_impl(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & cx, const at::Tensor & cy, const at::Tensor & workspace, bool has_bias) { |
| 8592 | return at::_ops::_thnn_fused_lstm_cell_backward_impl::redispatch(dispatchKeySet, grad_hy, grad_cy, cx, cy, workspace, has_bias); |
| 8593 | } |
| 8594 | |
| 8595 | // aten::_thnn_fused_lstm_cell_backward(Tensor? grad_hy, Tensor? grad_cy, Tensor cx, Tensor cy, Tensor workspace, bool has_bias) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 8596 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_fused_lstm_cell_backward(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & cx, const at::Tensor & cy, const at::Tensor & workspace, bool has_bias) { |
| 8597 | return at::_ops::_thnn_fused_lstm_cell_backward::redispatch(dispatchKeySet, grad_hy, grad_cy, cx, cy, workspace, has_bias); |
| 8598 | } |
| 8599 | |
| 8600 | // aten::_thnn_differentiable_lstm_cell_backward(Tensor? grad_hy, Tensor? grad_cy, Tensor input_gates, Tensor hidden_gates, Tensor? input_bias, Tensor? hidden_bias, Tensor cx, Tensor cy) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 8601 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_differentiable_lstm_cell_backward(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const c10::optional<at::Tensor> & input_bias, const c10::optional<at::Tensor> & hidden_bias, const at::Tensor & cx, const at::Tensor & cy) { |
| 8602 | return at::_ops::_thnn_differentiable_lstm_cell_backward::redispatch(dispatchKeySet, grad_hy, grad_cy, input_gates, hidden_gates, input_bias, hidden_bias, cx, cy); |
| 8603 | } |
| 8604 | |
| 8605 | // aten::_thnn_fused_gru_cell(Tensor input_gates, Tensor hidden_gates, Tensor hx, Tensor? input_bias=None, Tensor? hidden_bias=None) -> (Tensor, Tensor) |
| 8606 | inline ::std::tuple<at::Tensor,at::Tensor> _thnn_fused_gru_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias={}, const c10::optional<at::Tensor> & hidden_bias={}) { |
| 8607 | return at::_ops::_thnn_fused_gru_cell::redispatch(dispatchKeySet, input_gates, hidden_gates, hx, input_bias, hidden_bias); |
| 8608 | } |
| 8609 | |
| 8610 | // aten::_thnn_fused_gru_cell_backward(Tensor grad_hy, Tensor workspace, bool has_bias) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 8611 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_fused_gru_cell_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_hy, const at::Tensor & workspace, bool has_bias) { |
| 8612 | return at::_ops::_thnn_fused_gru_cell_backward::redispatch(dispatchKeySet, grad_hy, workspace, has_bias); |
| 8613 | } |
| 8614 | |
| 8615 | // aten::_thnn_differentiable_gru_cell_backward(Tensor grad_hy, Tensor input_gates, Tensor hidden_gates, Tensor hx, Tensor? input_bias, Tensor? hidden_bias) -> (Tensor, Tensor, Tensor, Tensor, Tensor) |
| 8616 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_differentiable_gru_cell_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_hy, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias, const c10::optional<at::Tensor> & hidden_bias) { |
| 8617 | return at::_ops::_thnn_differentiable_gru_cell_backward::redispatch(dispatchKeySet, grad_hy, input_gates, hidden_gates, hx, input_bias, hidden_bias); |
| 8618 | } |
| 8619 | |
| 8620 | // aten::lstm.input(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor, Tensor) |
| 8621 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lstm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 8622 | return at::_ops::lstm_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 8623 | } |
| 8624 | |
| 8625 | // aten::lstm.data(Tensor data, Tensor batch_sizes, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor, Tensor) |
| 8626 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lstm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) { |
| 8627 | return at::_ops::lstm_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 8628 | } |
| 8629 | |
| 8630 | // aten::gru.input(Tensor input, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor) |
| 8631 | inline ::std::tuple<at::Tensor,at::Tensor> gru(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 8632 | return at::_ops::gru_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 8633 | } |
| 8634 | |
| 8635 | // aten::gru.data(Tensor data, Tensor batch_sizes, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor) |
| 8636 | inline ::std::tuple<at::Tensor,at::Tensor> gru(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) { |
| 8637 | return at::_ops::gru_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 8638 | } |
| 8639 | |
| 8640 | // aten::rnn_tanh.input(Tensor input, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor) |
| 8641 | inline ::std::tuple<at::Tensor,at::Tensor> rnn_tanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 8642 | return at::_ops::rnn_tanh_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 8643 | } |
| 8644 | |
| 8645 | // aten::rnn_tanh.data(Tensor data, Tensor batch_sizes, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor) |
| 8646 | inline ::std::tuple<at::Tensor,at::Tensor> rnn_tanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) { |
| 8647 | return at::_ops::rnn_tanh_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 8648 | } |
| 8649 | |
| 8650 | // aten::rnn_relu.input(Tensor input, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first) -> (Tensor, Tensor) |
| 8651 | inline ::std::tuple<at::Tensor,at::Tensor> rnn_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 8652 | return at::_ops::rnn_relu_input::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 8653 | } |
| 8654 | |
| 8655 | // aten::rnn_relu.data(Tensor data, Tensor batch_sizes, Tensor hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional) -> (Tensor, Tensor) |
| 8656 | inline ::std::tuple<at::Tensor,at::Tensor> rnn_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, const at::Tensor & hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional) { |
| 8657 | return at::_ops::rnn_relu_data::redispatch(dispatchKeySet, data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 8658 | } |
| 8659 | |
| 8660 | // aten::lstm_cell(Tensor input, Tensor[] hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> (Tensor, Tensor) |
| 8661 | inline ::std::tuple<at::Tensor,at::Tensor> lstm_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) { |
| 8662 | return at::_ops::lstm_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh); |
| 8663 | } |
| 8664 | |
| 8665 | // aten::gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> Tensor |
| 8666 | inline at::Tensor gru_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) { |
| 8667 | return at::_ops::gru_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh); |
| 8668 | } |
| 8669 | |
| 8670 | // aten::rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> Tensor |
| 8671 | inline at::Tensor rnn_tanh_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) { |
| 8672 | return at::_ops::rnn_tanh_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh); |
| 8673 | } |
| 8674 | |
| 8675 | // aten::rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor? b_ih=None, Tensor? b_hh=None) -> Tensor |
| 8676 | inline at::Tensor rnn_relu_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const c10::optional<at::Tensor> & b_ih={}, const c10::optional<at::Tensor> & b_hh={}) { |
| 8677 | return at::_ops::rnn_relu_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh); |
| 8678 | } |
| 8679 | |
| 8680 | // aten::quantized_lstm_cell(Tensor input, Tensor[] hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> (Tensor, Tensor) |
| 8681 | inline ::std::tuple<at::Tensor,at::Tensor> quantized_lstm_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) { |
| 8682 | return at::_ops::quantized_lstm_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh); |
| 8683 | } |
| 8684 | |
| 8685 | // aten::quantized_gru_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> Tensor |
| 8686 | inline at::Tensor quantized_gru_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) { |
| 8687 | return at::_ops::quantized_gru_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh); |
| 8688 | } |
| 8689 | |
| 8690 | // aten::quantized_rnn_relu_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> Tensor |
| 8691 | inline at::Tensor quantized_rnn_relu_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) { |
| 8692 | return at::_ops::quantized_rnn_relu_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh); |
| 8693 | } |
| 8694 | |
| 8695 | // aten::quantized_rnn_tanh_cell(Tensor input, Tensor hx, Tensor w_ih, Tensor w_hh, Tensor b_ih, Tensor b_hh, Tensor packed_ih, Tensor packed_hh, Tensor col_offsets_ih, Tensor col_offsets_hh, Scalar scale_ih, Scalar scale_hh, Scalar zero_point_ih, Scalar zero_point_hh) -> Tensor |
| 8696 | inline at::Tensor quantized_rnn_tanh_cell(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & hx, const at::Tensor & w_ih, const at::Tensor & w_hh, const at::Tensor & b_ih, const at::Tensor & b_hh, const at::Tensor & packed_ih, const at::Tensor & packed_hh, const at::Tensor & col_offsets_ih, const at::Tensor & col_offsets_hh, const at::Scalar & scale_ih, const at::Scalar & scale_hh, const at::Scalar & zero_point_ih, const at::Scalar & zero_point_hh) { |
| 8697 | return at::_ops::quantized_rnn_tanh_cell::redispatch(dispatchKeySet, input, hx, w_ih, w_hh, b_ih, b_hh, packed_ih, packed_hh, col_offsets_ih, col_offsets_hh, scale_ih, scale_hh, zero_point_ih, zero_point_hh); |
| 8698 | } |
| 8699 | |
| 8700 | // aten::_pack_padded_sequence(Tensor input, Tensor lengths, bool batch_first) -> (Tensor, Tensor) |
| 8701 | inline ::std::tuple<at::Tensor,at::Tensor> _pack_padded_sequence(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & lengths, bool batch_first) { |
| 8702 | return at::_ops::_pack_padded_sequence::redispatch(dispatchKeySet, input, lengths, batch_first); |
| 8703 | } |
| 8704 | |
| 8705 | // aten::_pack_padded_sequence_backward(Tensor grad, SymInt[] input_size, Tensor batch_sizes, bool batch_first) -> Tensor |
| 8706 | inline at::Tensor _pack_padded_sequence_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef input_size, const at::Tensor & batch_sizes, bool batch_first) { |
| 8707 | return at::_ops::_pack_padded_sequence_backward::redispatch(dispatchKeySet, grad, c10::fromIntArrayRefSlow(input_size), batch_sizes, batch_first); |
| 8708 | } |
| 8709 | |
| 8710 | // aten::_pack_padded_sequence_backward(Tensor grad, SymInt[] input_size, Tensor batch_sizes, bool batch_first) -> Tensor |
| 8711 | inline at::Tensor _pack_padded_sequence_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, c10::SymIntArrayRef input_size, const at::Tensor & batch_sizes, bool batch_first) { |
| 8712 | return at::_ops::_pack_padded_sequence_backward::redispatch(dispatchKeySet, grad, input_size, batch_sizes, batch_first); |
| 8713 | } |
| 8714 | |
| 8715 | // aten::_pad_packed_sequence(Tensor data, Tensor batch_sizes, bool batch_first, Scalar padding_value, int total_length) -> (Tensor, Tensor) |
| 8716 | inline ::std::tuple<at::Tensor,at::Tensor> _pad_packed_sequence(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, const at::Tensor & batch_sizes, bool batch_first, const at::Scalar & padding_value, int64_t total_length) { |
| 8717 | return at::_ops::_pad_packed_sequence::redispatch(dispatchKeySet, data, batch_sizes, batch_first, padding_value, total_length); |
| 8718 | } |
| 8719 | |
| 8720 | // aten::set_.source_Storage(Tensor(a!) self, Storage source) -> Tensor(a!) |
| 8721 | inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Storage source) { |
| 8722 | return at::_ops::set__source_Storage::redispatch(dispatchKeySet, self, source); |
| 8723 | } |
| 8724 | |
| 8725 | // aten::set_.source_Storage_storage_offset(Tensor(a!) self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 8726 | inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) { |
| 8727 | return at::_ops::set__source_Storage_storage_offset::redispatch(dispatchKeySet, self, source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 8728 | } |
| 8729 | |
| 8730 | // aten::set_.source_Storage_storage_offset(Tensor(a!) self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 8731 | inline at::Tensor & set__symint(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Storage source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) { |
| 8732 | return at::_ops::set__source_Storage_storage_offset::redispatch(dispatchKeySet, self, source, storage_offset, size, stride); |
| 8733 | } |
| 8734 | |
| 8735 | // aten::set_.source_Tensor_storage_offset(Tensor(a!) self, Tensor source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 8736 | inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) { |
| 8737 | return at::_ops::set__source_Tensor_storage_offset::redispatch(dispatchKeySet, self, source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 8738 | } |
| 8739 | |
| 8740 | // aten::set_.source_Tensor_storage_offset(Tensor(a!) self, Tensor source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 8741 | inline at::Tensor & set__symint(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) { |
| 8742 | return at::_ops::set__source_Tensor_storage_offset::redispatch(dispatchKeySet, self, source, storage_offset, size, stride); |
| 8743 | } |
| 8744 | |
| 8745 | // aten::set_.source_Tensor(Tensor(a!) self, Tensor source) -> Tensor(a!) |
| 8746 | inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & source) { |
| 8747 | return at::_ops::set__source_Tensor::redispatch(dispatchKeySet, self, source); |
| 8748 | } |
| 8749 | |
| 8750 | // aten::set_(Tensor(a!) self) -> Tensor(a!) |
| 8751 | inline at::Tensor & set_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 8752 | return at::_ops::set_::redispatch(dispatchKeySet, self); |
| 8753 | } |
| 8754 | |
| 8755 | // aten::lift(Tensor self) -> Tensor |
| 8756 | inline at::Tensor lift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8757 | return at::_ops::lift::redispatch(dispatchKeySet, self); |
| 8758 | } |
| 8759 | |
| 8760 | // aten::lift_fresh(Tensor(a) self) -> Tensor(a) |
| 8761 | inline at::Tensor lift_fresh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8762 | return at::_ops::lift_fresh::redispatch(dispatchKeySet, self); |
| 8763 | } |
| 8764 | |
| 8765 | // aten::lift_fresh_copy(Tensor self) -> Tensor |
| 8766 | inline at::Tensor lift_fresh_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 8767 | return at::_ops::lift_fresh_copy::redispatch(dispatchKeySet, self); |
| 8768 | } |
| 8769 | |
| 8770 | // aten::is_set_to(Tensor self, Tensor tensor) -> bool |
| 8771 | inline bool is_set_to(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor) { |
| 8772 | return at::_ops::is_set_to::redispatch(dispatchKeySet, self, tensor); |
| 8773 | } |
| 8774 | |
| 8775 | // aten::masked_fill_.Scalar(Tensor(a!) self, Tensor mask, Scalar value) -> Tensor(a!) |
| 8776 | inline at::Tensor & masked_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mask, const at::Scalar & value) { |
| 8777 | return at::_ops::masked_fill__Scalar::redispatch(dispatchKeySet, self, mask, value); |
| 8778 | } |
| 8779 | |
| 8780 | // aten::masked_fill.Scalar(Tensor self, Tensor mask, Scalar value) -> Tensor |
| 8781 | inline at::Tensor masked_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Scalar & value) { |
| 8782 | return at::_ops::masked_fill_Scalar::redispatch(dispatchKeySet, self, mask, value); |
| 8783 | } |
| 8784 | |
| 8785 | // aten::masked_fill_.Tensor(Tensor(a!) self, Tensor mask, Tensor value) -> Tensor(a!) |
| 8786 | inline at::Tensor & masked_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mask, const at::Tensor & value) { |
| 8787 | return at::_ops::masked_fill__Tensor::redispatch(dispatchKeySet, self, mask, value); |
| 8788 | } |
| 8789 | |
| 8790 | // aten::masked_fill.Tensor(Tensor self, Tensor mask, Tensor value) -> Tensor |
| 8791 | inline at::Tensor masked_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & value) { |
| 8792 | return at::_ops::masked_fill_Tensor::redispatch(dispatchKeySet, self, mask, value); |
| 8793 | } |
| 8794 | |
| 8795 | // aten::masked_scatter_(Tensor(a!) self, Tensor mask, Tensor source) -> Tensor(a!) |
| 8796 | inline at::Tensor & masked_scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & mask, const at::Tensor & source) { |
| 8797 | return at::_ops::masked_scatter_::redispatch(dispatchKeySet, self, mask, source); |
| 8798 | } |
| 8799 | |
| 8800 | // aten::masked_scatter(Tensor self, Tensor mask, Tensor source) -> Tensor |
| 8801 | inline at::Tensor masked_scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & source) { |
| 8802 | return at::_ops::masked_scatter::redispatch(dispatchKeySet, self, mask, source); |
| 8803 | } |
| 8804 | |
| 8805 | // aten::_masked_softmax(Tensor self, Tensor mask, int? dim=None, int? mask_type=None) -> Tensor |
| 8806 | inline at::Tensor _masked_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> mask_type=c10::nullopt) { |
| 8807 | return at::_ops::_masked_softmax::redispatch(dispatchKeySet, self, mask, dim, mask_type); |
| 8808 | } |
| 8809 | |
| 8810 | // aten::_masked_softmax_backward(Tensor grad_output, Tensor output, Tensor mask, int? dim=None) -> Tensor |
| 8811 | inline at::Tensor _masked_softmax_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & mask, c10::optional<int64_t> dim=c10::nullopt) { |
| 8812 | return at::_ops::_masked_softmax_backward::redispatch(dispatchKeySet, grad_output, output, mask, dim); |
| 8813 | } |
| 8814 | |
| 8815 | // aten::view(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 8816 | inline at::Tensor view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 8817 | return at::_ops::view::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size)); |
| 8818 | } |
| 8819 | |
| 8820 | // aten::view(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 8821 | inline at::Tensor view_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 8822 | return at::_ops::view::redispatch(dispatchKeySet, self, size); |
| 8823 | } |
| 8824 | |
| 8825 | // aten::view.dtype(Tensor(a) self, ScalarType dtype) -> Tensor(a) |
| 8826 | inline at::Tensor view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype) { |
| 8827 | return at::_ops::view_dtype::redispatch(dispatchKeySet, self, dtype); |
| 8828 | } |
| 8829 | |
| 8830 | // aten::put_(Tensor(a!) self, Tensor index, Tensor source, bool accumulate=False) -> Tensor(a!) |
| 8831 | inline at::Tensor & put_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false) { |
| 8832 | return at::_ops::put_::redispatch(dispatchKeySet, self, index, source, accumulate); |
| 8833 | } |
| 8834 | |
| 8835 | // aten::put(Tensor self, Tensor index, Tensor source, bool accumulate=False) -> Tensor |
| 8836 | inline at::Tensor put(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false) { |
| 8837 | return at::_ops::put::redispatch(dispatchKeySet, self, index, source, accumulate); |
| 8838 | } |
| 8839 | |
| 8840 | // aten::index_add.out(Tensor self, int dim, Tensor index, Tensor source, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 8841 | inline at::Tensor & index_add_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) { |
| 8842 | return at::_ops::index_add_out::redispatch(dispatchKeySet, self, dim, index, source, alpha, out); |
| 8843 | } |
| 8844 | |
| 8845 | // aten::index_add.out(Tensor self, int dim, Tensor index, Tensor source, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 8846 | inline at::Tensor & index_add_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha, at::Tensor & out) { |
| 8847 | return at::_ops::index_add_out::redispatch(dispatchKeySet, self, dim, index, source, alpha, out); |
| 8848 | } |
| 8849 | |
| 8850 | // aten::index_add_(Tensor(a!) self, int dim, Tensor index, Tensor source, *, Scalar alpha=1) -> Tensor(a!) |
| 8851 | inline at::Tensor & index_add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) { |
| 8852 | return at::_ops::index_add_::redispatch(dispatchKeySet, self, dim, index, source, alpha); |
| 8853 | } |
| 8854 | |
| 8855 | // aten::index_add(Tensor self, int dim, Tensor index, Tensor source, *, Scalar alpha=1) -> Tensor |
| 8856 | inline at::Tensor index_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) { |
| 8857 | return at::_ops::index_add::redispatch(dispatchKeySet, self, dim, index, source, alpha); |
| 8858 | } |
| 8859 | |
| 8860 | // aten::index_add.dimname(Tensor self, Dimname dim, Tensor index, Tensor source, *, Scalar alpha=1) -> Tensor |
| 8861 | inline at::Tensor index_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) { |
| 8862 | return at::_ops::index_add_dimname::redispatch(dispatchKeySet, self, dim, index, source, alpha); |
| 8863 | } |
| 8864 | |
| 8865 | // aten::index_reduce.out(Tensor self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True, Tensor(a!) out) -> Tensor(a!) |
| 8866 | inline at::Tensor & index_reduce_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self=true) { |
| 8867 | return at::_ops::index_reduce_out::redispatch(dispatchKeySet, self, dim, index, source, reduce, include_self, out); |
| 8868 | } |
| 8869 | |
| 8870 | // aten::index_reduce.out(Tensor self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True, Tensor(a!) out) -> Tensor(a!) |
| 8871 | inline at::Tensor & index_reduce_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self, at::Tensor & out) { |
| 8872 | return at::_ops::index_reduce_out::redispatch(dispatchKeySet, self, dim, index, source, reduce, include_self, out); |
| 8873 | } |
| 8874 | |
| 8875 | // aten::index_reduce_(Tensor(a!) self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True) -> Tensor(a!) |
| 8876 | inline at::Tensor & index_reduce_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self=true) { |
| 8877 | return at::_ops::index_reduce_::redispatch(dispatchKeySet, self, dim, index, source, reduce, include_self); |
| 8878 | } |
| 8879 | |
| 8880 | // aten::index_reduce(Tensor self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True) -> Tensor |
| 8881 | inline at::Tensor index_reduce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self=true) { |
| 8882 | return at::_ops::index_reduce::redispatch(dispatchKeySet, self, dim, index, source, reduce, include_self); |
| 8883 | } |
| 8884 | |
| 8885 | // aten::index_fill_.int_Scalar(Tensor(a!) self, int dim, Tensor index, Scalar value) -> Tensor(a!) |
| 8886 | inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) { |
| 8887 | return at::_ops::index_fill__int_Scalar::redispatch(dispatchKeySet, self, dim, index, value); |
| 8888 | } |
| 8889 | |
| 8890 | // aten::index_fill.int_Scalar(Tensor self, int dim, Tensor index, Scalar value) -> Tensor |
| 8891 | inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) { |
| 8892 | return at::_ops::index_fill_int_Scalar::redispatch(dispatchKeySet, self, dim, index, value); |
| 8893 | } |
| 8894 | |
| 8895 | // aten::index_fill_.int_Tensor(Tensor(a!) self, int dim, Tensor index, Tensor value) -> Tensor(a!) |
| 8896 | inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & value) { |
| 8897 | return at::_ops::index_fill__int_Tensor::redispatch(dispatchKeySet, self, dim, index, value); |
| 8898 | } |
| 8899 | |
| 8900 | // aten::index_fill.int_Tensor(Tensor self, int dim, Tensor index, Tensor value) -> Tensor |
| 8901 | inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & value) { |
| 8902 | return at::_ops::index_fill_int_Tensor::redispatch(dispatchKeySet, self, dim, index, value); |
| 8903 | } |
| 8904 | |
| 8905 | // aten::index_fill_.Dimname_Scalar(Tensor(a!) self, Dimname dim, Tensor index, Scalar value) -> Tensor(a!) |
| 8906 | inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 8907 | return at::_ops::index_fill__Dimname_Scalar::redispatch(dispatchKeySet, self, dim, index, value); |
| 8908 | } |
| 8909 | |
| 8910 | // aten::index_fill_.Dimname_Tensor(Tensor(a!) self, Dimname dim, Tensor index, Tensor value) -> Tensor(a!) |
| 8911 | inline at::Tensor & index_fill_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) { |
| 8912 | return at::_ops::index_fill__Dimname_Tensor::redispatch(dispatchKeySet, self, dim, index, value); |
| 8913 | } |
| 8914 | |
| 8915 | // aten::index_fill.Dimname_Scalar(Tensor self, Dimname dim, Tensor index, Scalar value) -> Tensor |
| 8916 | inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 8917 | return at::_ops::index_fill_Dimname_Scalar::redispatch(dispatchKeySet, self, dim, index, value); |
| 8918 | } |
| 8919 | |
| 8920 | // aten::index_fill.Dimname_Tensor(Tensor self, Dimname dim, Tensor index, Tensor value) -> Tensor |
| 8921 | inline at::Tensor index_fill(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) { |
| 8922 | return at::_ops::index_fill_Dimname_Tensor::redispatch(dispatchKeySet, self, dim, index, value); |
| 8923 | } |
| 8924 | |
| 8925 | // aten::scatter.src(Tensor self, int dim, Tensor index, Tensor src) -> Tensor |
| 8926 | inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) { |
| 8927 | return at::_ops::scatter_src::redispatch(dispatchKeySet, self, dim, index, src); |
| 8928 | } |
| 8929 | |
| 8930 | // aten::scatter_.src(Tensor(a!) self, int dim, Tensor index, Tensor src) -> Tensor(a!) |
| 8931 | inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) { |
| 8932 | return at::_ops::scatter__src::redispatch(dispatchKeySet, self, dim, index, src); |
| 8933 | } |
| 8934 | |
| 8935 | // aten::scatter.src_out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!) |
| 8936 | inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) { |
| 8937 | return at::_ops::scatter_src_out::redispatch(dispatchKeySet, self, dim, index, src, out); |
| 8938 | } |
| 8939 | |
| 8940 | // aten::scatter.src_out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!) |
| 8941 | inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, at::Tensor & out) { |
| 8942 | return at::_ops::scatter_src_out::redispatch(dispatchKeySet, self, dim, index, src, out); |
| 8943 | } |
| 8944 | |
| 8945 | // aten::scatter.value(Tensor self, int dim, Tensor index, Scalar value) -> Tensor |
| 8946 | inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) { |
| 8947 | return at::_ops::scatter_value::redispatch(dispatchKeySet, self, dim, index, value); |
| 8948 | } |
| 8949 | |
| 8950 | // aten::scatter_.value(Tensor(a!) self, int dim, Tensor index, Scalar value) -> Tensor(a!) |
| 8951 | inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) { |
| 8952 | return at::_ops::scatter__value::redispatch(dispatchKeySet, self, dim, index, value); |
| 8953 | } |
| 8954 | |
| 8955 | // aten::scatter.value_out(Tensor self, int dim, Tensor index, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 8956 | inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) { |
| 8957 | return at::_ops::scatter_value_out::redispatch(dispatchKeySet, self, dim, index, value, out); |
| 8958 | } |
| 8959 | |
| 8960 | // aten::scatter.value_out(Tensor self, int dim, Tensor index, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 8961 | inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, at::Tensor & out) { |
| 8962 | return at::_ops::scatter_value_out::redispatch(dispatchKeySet, self, dim, index, value, out); |
| 8963 | } |
| 8964 | |
| 8965 | // aten::scatter.reduce(Tensor self, int dim, Tensor index, Tensor src, *, str reduce) -> Tensor |
| 8966 | inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) { |
| 8967 | return at::_ops::scatter_reduce::redispatch(dispatchKeySet, self, dim, index, src, reduce); |
| 8968 | } |
| 8969 | |
| 8970 | // aten::scatter_.reduce(Tensor(a!) self, int dim, Tensor index, Tensor src, *, str reduce) -> Tensor(a!) |
| 8971 | inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) { |
| 8972 | return at::_ops::scatter__reduce::redispatch(dispatchKeySet, self, dim, index, src, reduce); |
| 8973 | } |
| 8974 | |
| 8975 | // aten::scatter.reduce_out(Tensor self, int dim, Tensor index, Tensor src, *, str reduce, Tensor(a!) out) -> Tensor(a!) |
| 8976 | inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) { |
| 8977 | return at::_ops::scatter_reduce_out::redispatch(dispatchKeySet, self, dim, index, src, reduce, out); |
| 8978 | } |
| 8979 | |
| 8980 | // aten::scatter.reduce_out(Tensor self, int dim, Tensor index, Tensor src, *, str reduce, Tensor(a!) out) -> Tensor(a!) |
| 8981 | inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, at::Tensor & out) { |
| 8982 | return at::_ops::scatter_reduce_out::redispatch(dispatchKeySet, self, dim, index, src, reduce, out); |
| 8983 | } |
| 8984 | |
| 8985 | // aten::scatter.value_reduce(Tensor self, int dim, Tensor index, Scalar value, *, str reduce) -> Tensor |
| 8986 | inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) { |
| 8987 | return at::_ops::scatter_value_reduce::redispatch(dispatchKeySet, self, dim, index, value, reduce); |
| 8988 | } |
| 8989 | |
| 8990 | // aten::scatter_.value_reduce(Tensor(a!) self, int dim, Tensor index, Scalar value, *, str reduce) -> Tensor(a!) |
| 8991 | inline at::Tensor & scatter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) { |
| 8992 | return at::_ops::scatter__value_reduce::redispatch(dispatchKeySet, self, dim, index, value, reduce); |
| 8993 | } |
| 8994 | |
| 8995 | // aten::scatter.value_reduce_out(Tensor self, int dim, Tensor index, Scalar value, *, str reduce, Tensor(a!) out) -> Tensor(a!) |
| 8996 | inline at::Tensor & scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) { |
| 8997 | return at::_ops::scatter_value_reduce_out::redispatch(dispatchKeySet, self, dim, index, value, reduce, out); |
| 8998 | } |
| 8999 | |
| 9000 | // aten::scatter.value_reduce_out(Tensor self, int dim, Tensor index, Scalar value, *, str reduce, Tensor(a!) out) -> Tensor(a!) |
| 9001 | inline at::Tensor & scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce, at::Tensor & out) { |
| 9002 | return at::_ops::scatter_value_reduce_out::redispatch(dispatchKeySet, self, dim, index, value, reduce, out); |
| 9003 | } |
| 9004 | |
| 9005 | // aten::scatter.dimname_src(Tensor self, Dimname dim, Tensor index, Tensor src) -> Tensor |
| 9006 | inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) { |
| 9007 | return at::_ops::scatter_dimname_src::redispatch(dispatchKeySet, self, dim, index, src); |
| 9008 | } |
| 9009 | |
| 9010 | // aten::scatter.dimname_value(Tensor self, Dimname dim, Tensor index, Scalar value) -> Tensor |
| 9011 | inline at::Tensor scatter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 9012 | return at::_ops::scatter_dimname_value::redispatch(dispatchKeySet, self, dim, index, value); |
| 9013 | } |
| 9014 | |
| 9015 | // aten::scatter_add(Tensor self, int dim, Tensor index, Tensor src) -> Tensor |
| 9016 | inline at::Tensor scatter_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) { |
| 9017 | return at::_ops::scatter_add::redispatch(dispatchKeySet, self, dim, index, src); |
| 9018 | } |
| 9019 | |
| 9020 | // aten::scatter_add_(Tensor(a!) self, int dim, Tensor index, Tensor src) -> Tensor(a!) |
| 9021 | inline at::Tensor & scatter_add_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) { |
| 9022 | return at::_ops::scatter_add_::redispatch(dispatchKeySet, self, dim, index, src); |
| 9023 | } |
| 9024 | |
| 9025 | // aten::scatter_add.out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!) |
| 9026 | inline at::Tensor & scatter_add_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src) { |
| 9027 | return at::_ops::scatter_add_out::redispatch(dispatchKeySet, self, dim, index, src, out); |
| 9028 | } |
| 9029 | |
| 9030 | // aten::scatter_add.out(Tensor self, int dim, Tensor index, Tensor src, *, Tensor(a!) out) -> Tensor(a!) |
| 9031 | inline at::Tensor & scatter_add_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, at::Tensor & out) { |
| 9032 | return at::_ops::scatter_add_out::redispatch(dispatchKeySet, self, dim, index, src, out); |
| 9033 | } |
| 9034 | |
| 9035 | // aten::scatter_add.dimname(Tensor self, Dimname dim, Tensor index, Tensor src) -> Tensor |
| 9036 | inline at::Tensor scatter_add(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) { |
| 9037 | return at::_ops::scatter_add_dimname::redispatch(dispatchKeySet, self, dim, index, src); |
| 9038 | } |
| 9039 | |
| 9040 | // aten::scatter_reduce.two(Tensor self, int dim, Tensor index, Tensor src, str reduce, *, bool include_self=True) -> Tensor |
| 9041 | inline at::Tensor scatter_reduce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self=true) { |
| 9042 | return at::_ops::scatter_reduce_two::redispatch(dispatchKeySet, self, dim, index, src, reduce, include_self); |
| 9043 | } |
| 9044 | |
| 9045 | // aten::scatter_reduce_.two(Tensor(a!) self, int dim, Tensor index, Tensor src, str reduce, *, bool include_self=True) -> Tensor(a!) |
| 9046 | inline at::Tensor & scatter_reduce_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self=true) { |
| 9047 | return at::_ops::scatter_reduce__two::redispatch(dispatchKeySet, self, dim, index, src, reduce, include_self); |
| 9048 | } |
| 9049 | |
| 9050 | // aten::scatter_reduce.two_out(Tensor self, int dim, Tensor index, Tensor src, str reduce, *, bool include_self=True, Tensor(a!) out) -> Tensor(a!) |
| 9051 | inline at::Tensor & scatter_reduce_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self=true) { |
| 9052 | return at::_ops::scatter_reduce_two_out::redispatch(dispatchKeySet, self, dim, index, src, reduce, include_self, out); |
| 9053 | } |
| 9054 | |
| 9055 | // aten::scatter_reduce.two_out(Tensor self, int dim, Tensor index, Tensor src, str reduce, *, bool include_self=True, Tensor(a!) out) -> Tensor(a!) |
| 9056 | inline at::Tensor & scatter_reduce_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self, at::Tensor & out) { |
| 9057 | return at::_ops::scatter_reduce_two_out::redispatch(dispatchKeySet, self, dim, index, src, reduce, include_self, out); |
| 9058 | } |
| 9059 | |
| 9060 | // aten::eq_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9061 | inline at::Tensor & eq_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9062 | return at::_ops::eq__Scalar::redispatch(dispatchKeySet, self, other); |
| 9063 | } |
| 9064 | |
| 9065 | // aten::eq_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9066 | inline at::Tensor & eq_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9067 | return at::_ops::eq__Tensor::redispatch(dispatchKeySet, self, other); |
| 9068 | } |
| 9069 | |
| 9070 | // aten::bitwise_and.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9071 | inline at::Tensor & bitwise_and_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9072 | return at::_ops::bitwise_and_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9073 | } |
| 9074 | |
| 9075 | // aten::bitwise_and.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9076 | inline at::Tensor & bitwise_and_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9077 | return at::_ops::bitwise_and_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9078 | } |
| 9079 | |
| 9080 | // aten::bitwise_and.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9081 | inline at::Tensor & bitwise_and_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9082 | return at::_ops::bitwise_and_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9083 | } |
| 9084 | |
| 9085 | // aten::bitwise_and.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9086 | inline at::Tensor & bitwise_and_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9087 | return at::_ops::bitwise_and_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9088 | } |
| 9089 | |
| 9090 | // aten::bitwise_and.Scalar(Tensor self, Scalar other) -> Tensor |
| 9091 | inline at::Tensor bitwise_and(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9092 | return at::_ops::bitwise_and_Scalar::redispatch(dispatchKeySet, self, other); |
| 9093 | } |
| 9094 | |
| 9095 | // aten::bitwise_and.Scalar_Tensor(Scalar self, Tensor other) -> Tensor |
| 9096 | inline at::Tensor bitwise_and(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 9097 | return at::_ops::bitwise_and_Scalar_Tensor::redispatch(dispatchKeySet, self, other); |
| 9098 | } |
| 9099 | |
| 9100 | // aten::bitwise_and.Tensor(Tensor self, Tensor other) -> Tensor |
| 9101 | inline at::Tensor bitwise_and(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9102 | return at::_ops::bitwise_and_Tensor::redispatch(dispatchKeySet, self, other); |
| 9103 | } |
| 9104 | |
| 9105 | // aten::bitwise_and_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9106 | inline at::Tensor & bitwise_and_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9107 | return at::_ops::bitwise_and__Scalar::redispatch(dispatchKeySet, self, other); |
| 9108 | } |
| 9109 | |
| 9110 | // aten::bitwise_and_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9111 | inline at::Tensor & bitwise_and_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9112 | return at::_ops::bitwise_and__Tensor::redispatch(dispatchKeySet, self, other); |
| 9113 | } |
| 9114 | |
| 9115 | // aten::__and__.Scalar(Tensor self, Scalar other) -> Tensor |
| 9116 | inline at::Tensor __and__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9117 | return at::_ops::__and___Scalar::redispatch(dispatchKeySet, self, other); |
| 9118 | } |
| 9119 | |
| 9120 | // aten::__and__.Tensor(Tensor self, Tensor other) -> Tensor |
| 9121 | inline at::Tensor __and__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9122 | return at::_ops::__and___Tensor::redispatch(dispatchKeySet, self, other); |
| 9123 | } |
| 9124 | |
| 9125 | // aten::__iand__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9126 | inline at::Tensor & __iand__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9127 | return at::_ops::__iand___Scalar::redispatch(dispatchKeySet, self, other); |
| 9128 | } |
| 9129 | |
| 9130 | // aten::__iand__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9131 | inline at::Tensor & __iand__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9132 | return at::_ops::__iand___Tensor::redispatch(dispatchKeySet, self, other); |
| 9133 | } |
| 9134 | |
| 9135 | // aten::bitwise_or.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9136 | inline at::Tensor & bitwise_or_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9137 | return at::_ops::bitwise_or_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9138 | } |
| 9139 | |
| 9140 | // aten::bitwise_or.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9141 | inline at::Tensor & bitwise_or_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9142 | return at::_ops::bitwise_or_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9143 | } |
| 9144 | |
| 9145 | // aten::bitwise_or.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9146 | inline at::Tensor & bitwise_or_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9147 | return at::_ops::bitwise_or_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9148 | } |
| 9149 | |
| 9150 | // aten::bitwise_or.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9151 | inline at::Tensor & bitwise_or_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9152 | return at::_ops::bitwise_or_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9153 | } |
| 9154 | |
| 9155 | // aten::bitwise_or.Scalar(Tensor self, Scalar other) -> Tensor |
| 9156 | inline at::Tensor bitwise_or(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9157 | return at::_ops::bitwise_or_Scalar::redispatch(dispatchKeySet, self, other); |
| 9158 | } |
| 9159 | |
| 9160 | // aten::bitwise_or.Scalar_Tensor(Scalar self, Tensor other) -> Tensor |
| 9161 | inline at::Tensor bitwise_or(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 9162 | return at::_ops::bitwise_or_Scalar_Tensor::redispatch(dispatchKeySet, self, other); |
| 9163 | } |
| 9164 | |
| 9165 | // aten::bitwise_or.Tensor(Tensor self, Tensor other) -> Tensor |
| 9166 | inline at::Tensor bitwise_or(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9167 | return at::_ops::bitwise_or_Tensor::redispatch(dispatchKeySet, self, other); |
| 9168 | } |
| 9169 | |
| 9170 | // aten::bitwise_or_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9171 | inline at::Tensor & bitwise_or_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9172 | return at::_ops::bitwise_or__Scalar::redispatch(dispatchKeySet, self, other); |
| 9173 | } |
| 9174 | |
| 9175 | // aten::bitwise_or_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9176 | inline at::Tensor & bitwise_or_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9177 | return at::_ops::bitwise_or__Tensor::redispatch(dispatchKeySet, self, other); |
| 9178 | } |
| 9179 | |
| 9180 | // aten::__or__.Scalar(Tensor self, Scalar other) -> Tensor |
| 9181 | inline at::Tensor __or__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9182 | return at::_ops::__or___Scalar::redispatch(dispatchKeySet, self, other); |
| 9183 | } |
| 9184 | |
| 9185 | // aten::__or__.Tensor(Tensor self, Tensor other) -> Tensor |
| 9186 | inline at::Tensor __or__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9187 | return at::_ops::__or___Tensor::redispatch(dispatchKeySet, self, other); |
| 9188 | } |
| 9189 | |
| 9190 | // aten::__ior__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9191 | inline at::Tensor & __ior__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9192 | return at::_ops::__ior___Scalar::redispatch(dispatchKeySet, self, other); |
| 9193 | } |
| 9194 | |
| 9195 | // aten::__ior__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9196 | inline at::Tensor & __ior__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9197 | return at::_ops::__ior___Tensor::redispatch(dispatchKeySet, self, other); |
| 9198 | } |
| 9199 | |
| 9200 | // aten::bitwise_xor.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9201 | inline at::Tensor & bitwise_xor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9202 | return at::_ops::bitwise_xor_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9203 | } |
| 9204 | |
| 9205 | // aten::bitwise_xor.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9206 | inline at::Tensor & bitwise_xor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9207 | return at::_ops::bitwise_xor_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9208 | } |
| 9209 | |
| 9210 | // aten::bitwise_xor.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9211 | inline at::Tensor & bitwise_xor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9212 | return at::_ops::bitwise_xor_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9213 | } |
| 9214 | |
| 9215 | // aten::bitwise_xor.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9216 | inline at::Tensor & bitwise_xor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9217 | return at::_ops::bitwise_xor_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9218 | } |
| 9219 | |
| 9220 | // aten::bitwise_xor.Scalar(Tensor self, Scalar other) -> Tensor |
| 9221 | inline at::Tensor bitwise_xor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9222 | return at::_ops::bitwise_xor_Scalar::redispatch(dispatchKeySet, self, other); |
| 9223 | } |
| 9224 | |
| 9225 | // aten::bitwise_xor.Scalar_Tensor(Scalar self, Tensor other) -> Tensor |
| 9226 | inline at::Tensor bitwise_xor(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 9227 | return at::_ops::bitwise_xor_Scalar_Tensor::redispatch(dispatchKeySet, self, other); |
| 9228 | } |
| 9229 | |
| 9230 | // aten::bitwise_xor.Tensor(Tensor self, Tensor other) -> Tensor |
| 9231 | inline at::Tensor bitwise_xor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9232 | return at::_ops::bitwise_xor_Tensor::redispatch(dispatchKeySet, self, other); |
| 9233 | } |
| 9234 | |
| 9235 | // aten::bitwise_xor_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9236 | inline at::Tensor & bitwise_xor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9237 | return at::_ops::bitwise_xor__Scalar::redispatch(dispatchKeySet, self, other); |
| 9238 | } |
| 9239 | |
| 9240 | // aten::bitwise_xor_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9241 | inline at::Tensor & bitwise_xor_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9242 | return at::_ops::bitwise_xor__Tensor::redispatch(dispatchKeySet, self, other); |
| 9243 | } |
| 9244 | |
| 9245 | // aten::__xor__.Scalar(Tensor self, Scalar other) -> Tensor |
| 9246 | inline at::Tensor __xor__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9247 | return at::_ops::__xor___Scalar::redispatch(dispatchKeySet, self, other); |
| 9248 | } |
| 9249 | |
| 9250 | // aten::__xor__.Tensor(Tensor self, Tensor other) -> Tensor |
| 9251 | inline at::Tensor __xor__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9252 | return at::_ops::__xor___Tensor::redispatch(dispatchKeySet, self, other); |
| 9253 | } |
| 9254 | |
| 9255 | // aten::__ixor__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9256 | inline at::Tensor & __ixor__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9257 | return at::_ops::__ixor___Scalar::redispatch(dispatchKeySet, self, other); |
| 9258 | } |
| 9259 | |
| 9260 | // aten::__ixor__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9261 | inline at::Tensor & __ixor__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9262 | return at::_ops::__ixor___Tensor::redispatch(dispatchKeySet, self, other); |
| 9263 | } |
| 9264 | |
| 9265 | // aten::__lshift__.Scalar(Tensor self, Scalar other) -> Tensor |
| 9266 | inline at::Tensor __lshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9267 | return at::_ops::__lshift___Scalar::redispatch(dispatchKeySet, self, other); |
| 9268 | } |
| 9269 | |
| 9270 | // aten::__lshift__.Tensor(Tensor self, Tensor other) -> Tensor |
| 9271 | inline at::Tensor __lshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9272 | return at::_ops::__lshift___Tensor::redispatch(dispatchKeySet, self, other); |
| 9273 | } |
| 9274 | |
| 9275 | // aten::__ilshift__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9276 | inline at::Tensor & __ilshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9277 | return at::_ops::__ilshift___Scalar::redispatch(dispatchKeySet, self, other); |
| 9278 | } |
| 9279 | |
| 9280 | // aten::__ilshift__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9281 | inline at::Tensor & __ilshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9282 | return at::_ops::__ilshift___Tensor::redispatch(dispatchKeySet, self, other); |
| 9283 | } |
| 9284 | |
| 9285 | // aten::bitwise_left_shift.Tensor(Tensor self, Tensor other) -> Tensor |
| 9286 | inline at::Tensor bitwise_left_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9287 | return at::_ops::bitwise_left_shift_Tensor::redispatch(dispatchKeySet, self, other); |
| 9288 | } |
| 9289 | |
| 9290 | // aten::bitwise_left_shift_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9291 | inline at::Tensor & bitwise_left_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9292 | return at::_ops::bitwise_left_shift__Tensor::redispatch(dispatchKeySet, self, other); |
| 9293 | } |
| 9294 | |
| 9295 | // aten::bitwise_left_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9296 | inline at::Tensor & bitwise_left_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9297 | return at::_ops::bitwise_left_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9298 | } |
| 9299 | |
| 9300 | // aten::bitwise_left_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9301 | inline at::Tensor & bitwise_left_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9302 | return at::_ops::bitwise_left_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9303 | } |
| 9304 | |
| 9305 | // aten::bitwise_left_shift.Tensor_Scalar(Tensor self, Scalar other) -> Tensor |
| 9306 | inline at::Tensor bitwise_left_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9307 | return at::_ops::bitwise_left_shift_Tensor_Scalar::redispatch(dispatchKeySet, self, other); |
| 9308 | } |
| 9309 | |
| 9310 | // aten::bitwise_left_shift_.Tensor_Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9311 | inline at::Tensor & bitwise_left_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9312 | return at::_ops::bitwise_left_shift__Tensor_Scalar::redispatch(dispatchKeySet, self, other); |
| 9313 | } |
| 9314 | |
| 9315 | // aten::bitwise_left_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9316 | inline at::Tensor & bitwise_left_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9317 | return at::_ops::bitwise_left_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9318 | } |
| 9319 | |
| 9320 | // aten::bitwise_left_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9321 | inline at::Tensor & bitwise_left_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9322 | return at::_ops::bitwise_left_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9323 | } |
| 9324 | |
| 9325 | // aten::bitwise_left_shift.Scalar_Tensor(Scalar self, Tensor other) -> Tensor |
| 9326 | inline at::Tensor bitwise_left_shift(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 9327 | return at::_ops::bitwise_left_shift_Scalar_Tensor::redispatch(dispatchKeySet, self, other); |
| 9328 | } |
| 9329 | |
| 9330 | // aten::__rshift__.Scalar(Tensor self, Scalar other) -> Tensor |
| 9331 | inline at::Tensor __rshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9332 | return at::_ops::__rshift___Scalar::redispatch(dispatchKeySet, self, other); |
| 9333 | } |
| 9334 | |
| 9335 | // aten::__rshift__.Tensor(Tensor self, Tensor other) -> Tensor |
| 9336 | inline at::Tensor __rshift__(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9337 | return at::_ops::__rshift___Tensor::redispatch(dispatchKeySet, self, other); |
| 9338 | } |
| 9339 | |
| 9340 | // aten::__irshift__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9341 | inline at::Tensor & __irshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9342 | return at::_ops::__irshift___Scalar::redispatch(dispatchKeySet, self, other); |
| 9343 | } |
| 9344 | |
| 9345 | // aten::__irshift__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9346 | inline at::Tensor & __irshift__(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9347 | return at::_ops::__irshift___Tensor::redispatch(dispatchKeySet, self, other); |
| 9348 | } |
| 9349 | |
| 9350 | // aten::bitwise_right_shift.Tensor(Tensor self, Tensor other) -> Tensor |
| 9351 | inline at::Tensor bitwise_right_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9352 | return at::_ops::bitwise_right_shift_Tensor::redispatch(dispatchKeySet, self, other); |
| 9353 | } |
| 9354 | |
| 9355 | // aten::bitwise_right_shift_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9356 | inline at::Tensor & bitwise_right_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9357 | return at::_ops::bitwise_right_shift__Tensor::redispatch(dispatchKeySet, self, other); |
| 9358 | } |
| 9359 | |
| 9360 | // aten::bitwise_right_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9361 | inline at::Tensor & bitwise_right_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9362 | return at::_ops::bitwise_right_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9363 | } |
| 9364 | |
| 9365 | // aten::bitwise_right_shift.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9366 | inline at::Tensor & bitwise_right_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9367 | return at::_ops::bitwise_right_shift_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9368 | } |
| 9369 | |
| 9370 | // aten::bitwise_right_shift.Tensor_Scalar(Tensor self, Scalar other) -> Tensor |
| 9371 | inline at::Tensor bitwise_right_shift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9372 | return at::_ops::bitwise_right_shift_Tensor_Scalar::redispatch(dispatchKeySet, self, other); |
| 9373 | } |
| 9374 | |
| 9375 | // aten::bitwise_right_shift_.Tensor_Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9376 | inline at::Tensor & bitwise_right_shift_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9377 | return at::_ops::bitwise_right_shift__Tensor_Scalar::redispatch(dispatchKeySet, self, other); |
| 9378 | } |
| 9379 | |
| 9380 | // aten::bitwise_right_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9381 | inline at::Tensor & bitwise_right_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9382 | return at::_ops::bitwise_right_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9383 | } |
| 9384 | |
| 9385 | // aten::bitwise_right_shift.Tensor_Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9386 | inline at::Tensor & bitwise_right_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9387 | return at::_ops::bitwise_right_shift_Tensor_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9388 | } |
| 9389 | |
| 9390 | // aten::bitwise_right_shift.Scalar_Tensor(Scalar self, Tensor other) -> Tensor |
| 9391 | inline at::Tensor bitwise_right_shift(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 9392 | return at::_ops::bitwise_right_shift_Scalar_Tensor::redispatch(dispatchKeySet, self, other); |
| 9393 | } |
| 9394 | |
| 9395 | // aten::tril_(Tensor(a!) self, int diagonal=0) -> Tensor(a!) |
| 9396 | inline at::Tensor & tril_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t diagonal=0) { |
| 9397 | return at::_ops::tril_::redispatch(dispatchKeySet, self, diagonal); |
| 9398 | } |
| 9399 | |
| 9400 | // aten::triu_(Tensor(a!) self, int diagonal=0) -> Tensor(a!) |
| 9401 | inline at::Tensor & triu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t diagonal=0) { |
| 9402 | return at::_ops::triu_::redispatch(dispatchKeySet, self, diagonal); |
| 9403 | } |
| 9404 | |
| 9405 | // aten::digamma_(Tensor(a!) self) -> Tensor(a!) |
| 9406 | inline at::Tensor & digamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 9407 | return at::_ops::digamma_::redispatch(dispatchKeySet, self); |
| 9408 | } |
| 9409 | |
| 9410 | // aten::lerp_.Scalar(Tensor(a!) self, Tensor end, Scalar weight) -> Tensor(a!) |
| 9411 | inline at::Tensor & lerp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) { |
| 9412 | return at::_ops::lerp__Scalar::redispatch(dispatchKeySet, self, end, weight); |
| 9413 | } |
| 9414 | |
| 9415 | // aten::lerp_.Tensor(Tensor(a!) self, Tensor end, Tensor weight) -> Tensor(a!) |
| 9416 | inline at::Tensor & lerp_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) { |
| 9417 | return at::_ops::lerp__Tensor::redispatch(dispatchKeySet, self, end, weight); |
| 9418 | } |
| 9419 | |
| 9420 | // aten::addbmm_(Tensor(a!) self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 9421 | inline at::Tensor & addbmm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 9422 | return at::_ops::addbmm_::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha); |
| 9423 | } |
| 9424 | |
| 9425 | // aten::addbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 9426 | inline at::Tensor & addbmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 9427 | return at::_ops::addbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out); |
| 9428 | } |
| 9429 | |
| 9430 | // aten::addbmm.out(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 9431 | inline at::Tensor & addbmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 9432 | return at::_ops::addbmm_out::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha, out); |
| 9433 | } |
| 9434 | |
| 9435 | // aten::addbmm(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 9436 | inline at::Tensor addbmm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 9437 | return at::_ops::addbmm::redispatch(dispatchKeySet, self, batch1, batch2, beta, alpha); |
| 9438 | } |
| 9439 | |
| 9440 | // aten::random_.from(Tensor(a!) self, int from, int? to, *, Generator? generator=None) -> Tensor(a!) |
| 9441 | inline at::Tensor & random_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9442 | return at::_ops::random__from::redispatch(dispatchKeySet, self, from, to, generator); |
| 9443 | } |
| 9444 | |
| 9445 | // aten::random_.to(Tensor(a!) self, int to, *, Generator? generator=None) -> Tensor(a!) |
| 9446 | inline at::Tensor & random_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t to, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9447 | return at::_ops::random__to::redispatch(dispatchKeySet, self, to, generator); |
| 9448 | } |
| 9449 | |
| 9450 | // aten::random_(Tensor(a!) self, *, Generator? generator=None) -> Tensor(a!) |
| 9451 | inline at::Tensor & random_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9452 | return at::_ops::random_::redispatch(dispatchKeySet, self, generator); |
| 9453 | } |
| 9454 | |
| 9455 | // aten::uniform_(Tensor(a!) self, float from=0, float to=1, *, Generator? generator=None) -> Tensor(a!) |
| 9456 | inline at::Tensor & uniform_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double from=0, double to=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9457 | return at::_ops::uniform_::redispatch(dispatchKeySet, self, from, to, generator); |
| 9458 | } |
| 9459 | |
| 9460 | // aten::cauchy_(Tensor(a!) self, float median=0, float sigma=1, *, Generator? generator=None) -> Tensor(a!) |
| 9461 | inline at::Tensor & cauchy_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double median=0, double sigma=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9462 | return at::_ops::cauchy_::redispatch(dispatchKeySet, self, median, sigma, generator); |
| 9463 | } |
| 9464 | |
| 9465 | // aten::log_normal_(Tensor(a!) self, float mean=1, float std=2, *, Generator? generator=None) -> Tensor(a!) |
| 9466 | inline at::Tensor & log_normal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double mean=1, double std=2, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9467 | return at::_ops::log_normal_::redispatch(dispatchKeySet, self, mean, std, generator); |
| 9468 | } |
| 9469 | |
| 9470 | // aten::exponential_(Tensor(a!) self, float lambd=1, *, Generator? generator=None) -> Tensor(a!) |
| 9471 | inline at::Tensor & exponential_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double lambd=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9472 | return at::_ops::exponential_::redispatch(dispatchKeySet, self, lambd, generator); |
| 9473 | } |
| 9474 | |
| 9475 | // aten::geometric_(Tensor(a!) self, float p, *, Generator? generator=None) -> Tensor(a!) |
| 9476 | inline at::Tensor & geometric_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 9477 | return at::_ops::geometric_::redispatch(dispatchKeySet, self, p, generator); |
| 9478 | } |
| 9479 | |
| 9480 | // aten::diag.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!) |
| 9481 | inline at::Tensor & diag_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t diagonal=0) { |
| 9482 | return at::_ops::diag_out::redispatch(dispatchKeySet, self, diagonal, out); |
| 9483 | } |
| 9484 | |
| 9485 | // aten::diag.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!) |
| 9486 | inline at::Tensor & diag_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal, at::Tensor & out) { |
| 9487 | return at::_ops::diag_out::redispatch(dispatchKeySet, self, diagonal, out); |
| 9488 | } |
| 9489 | |
| 9490 | // aten::diag(Tensor self, int diagonal=0) -> Tensor |
| 9491 | inline at::Tensor diag(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal=0) { |
| 9492 | return at::_ops::diag::redispatch(dispatchKeySet, self, diagonal); |
| 9493 | } |
| 9494 | |
| 9495 | // aten::cross.out(Tensor self, Tensor other, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 9496 | inline at::Tensor & cross_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim=c10::nullopt) { |
| 9497 | return at::_ops::cross_out::redispatch(dispatchKeySet, self, other, dim, out); |
| 9498 | } |
| 9499 | |
| 9500 | // aten::cross.out(Tensor self, Tensor other, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 9501 | inline at::Tensor & cross_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim, at::Tensor & out) { |
| 9502 | return at::_ops::cross_out::redispatch(dispatchKeySet, self, other, dim, out); |
| 9503 | } |
| 9504 | |
| 9505 | // aten::cross(Tensor self, Tensor other, int? dim=None) -> Tensor |
| 9506 | inline at::Tensor cross(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim=c10::nullopt) { |
| 9507 | return at::_ops::cross::redispatch(dispatchKeySet, self, other, dim); |
| 9508 | } |
| 9509 | |
| 9510 | // aten::triu.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!) |
| 9511 | inline at::Tensor & triu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t diagonal=0) { |
| 9512 | return at::_ops::triu_out::redispatch(dispatchKeySet, self, diagonal, out); |
| 9513 | } |
| 9514 | |
| 9515 | // aten::triu.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!) |
| 9516 | inline at::Tensor & triu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal, at::Tensor & out) { |
| 9517 | return at::_ops::triu_out::redispatch(dispatchKeySet, self, diagonal, out); |
| 9518 | } |
| 9519 | |
| 9520 | // aten::triu(Tensor self, int diagonal=0) -> Tensor |
| 9521 | inline at::Tensor triu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal=0) { |
| 9522 | return at::_ops::triu::redispatch(dispatchKeySet, self, diagonal); |
| 9523 | } |
| 9524 | |
| 9525 | // aten::tril.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!) |
| 9526 | inline at::Tensor & tril_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t diagonal=0) { |
| 9527 | return at::_ops::tril_out::redispatch(dispatchKeySet, self, diagonal, out); |
| 9528 | } |
| 9529 | |
| 9530 | // aten::tril.out(Tensor self, int diagonal=0, *, Tensor(a!) out) -> Tensor(a!) |
| 9531 | inline at::Tensor & tril_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal, at::Tensor & out) { |
| 9532 | return at::_ops::tril_out::redispatch(dispatchKeySet, self, diagonal, out); |
| 9533 | } |
| 9534 | |
| 9535 | // aten::tril(Tensor self, int diagonal=0) -> Tensor |
| 9536 | inline at::Tensor tril(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t diagonal=0) { |
| 9537 | return at::_ops::tril::redispatch(dispatchKeySet, self, diagonal); |
| 9538 | } |
| 9539 | |
| 9540 | // aten::tril_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 9541 | inline at::Tensor tril_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset=0, at::TensorOptions options=at::kLong) { |
| 9542 | return at::_ops::tril_indices::redispatch(dispatchKeySet, row, col, offset, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 9543 | } |
| 9544 | |
| 9545 | // aten::tril_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 9546 | inline at::Tensor tril_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 9547 | return at::_ops::tril_indices::redispatch(dispatchKeySet, row, col, offset, dtype, layout, device, pin_memory); |
| 9548 | } |
| 9549 | |
| 9550 | // aten::triu_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 9551 | inline at::Tensor triu_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset=0, at::TensorOptions options=at::kLong) { |
| 9552 | return at::_ops::triu_indices::redispatch(dispatchKeySet, row, col, offset, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 9553 | } |
| 9554 | |
| 9555 | // aten::triu_indices(int row, int col, int offset=0, *, ScalarType? dtype=long, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 9556 | inline at::Tensor triu_indices(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 9557 | return at::_ops::triu_indices::redispatch(dispatchKeySet, row, col, offset, dtype, layout, device, pin_memory); |
| 9558 | } |
| 9559 | |
| 9560 | // aten::trace(Tensor self) -> Tensor |
| 9561 | inline at::Tensor trace(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 9562 | return at::_ops::trace::redispatch(dispatchKeySet, self); |
| 9563 | } |
| 9564 | |
| 9565 | // aten::trace_backward(Tensor grad, SymInt[] sizes) -> Tensor |
| 9566 | inline at::Tensor trace_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef sizes) { |
| 9567 | return at::_ops::trace_backward::redispatch(dispatchKeySet, grad, c10::fromIntArrayRefSlow(sizes)); |
| 9568 | } |
| 9569 | |
| 9570 | // aten::trace_backward(Tensor grad, SymInt[] sizes) -> Tensor |
| 9571 | inline at::Tensor trace_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, c10::SymIntArrayRef sizes) { |
| 9572 | return at::_ops::trace_backward::redispatch(dispatchKeySet, grad, sizes); |
| 9573 | } |
| 9574 | |
| 9575 | // aten::ne.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9576 | inline at::Tensor & ne_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9577 | return at::_ops::ne_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9578 | } |
| 9579 | |
| 9580 | // aten::ne.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9581 | inline at::Tensor & ne_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9582 | return at::_ops::ne_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9583 | } |
| 9584 | |
| 9585 | // aten::ne.Scalar(Tensor self, Scalar other) -> Tensor |
| 9586 | inline at::Tensor ne(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9587 | return at::_ops::ne_Scalar::redispatch(dispatchKeySet, self, other); |
| 9588 | } |
| 9589 | |
| 9590 | // aten::ne.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9591 | inline at::Tensor & ne_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9592 | return at::_ops::ne_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9593 | } |
| 9594 | |
| 9595 | // aten::ne.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9596 | inline at::Tensor & ne_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9597 | return at::_ops::ne_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9598 | } |
| 9599 | |
| 9600 | // aten::ne.Tensor(Tensor self, Tensor other) -> Tensor |
| 9601 | inline at::Tensor ne(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9602 | return at::_ops::ne_Tensor::redispatch(dispatchKeySet, self, other); |
| 9603 | } |
| 9604 | |
| 9605 | // aten::ne_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9606 | inline at::Tensor & ne_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9607 | return at::_ops::ne__Scalar::redispatch(dispatchKeySet, self, other); |
| 9608 | } |
| 9609 | |
| 9610 | // aten::ne_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9611 | inline at::Tensor & ne_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9612 | return at::_ops::ne__Tensor::redispatch(dispatchKeySet, self, other); |
| 9613 | } |
| 9614 | |
| 9615 | // aten::not_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9616 | inline at::Tensor & not_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9617 | return at::_ops::not_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9618 | } |
| 9619 | |
| 9620 | // aten::not_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9621 | inline at::Tensor & not_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9622 | return at::_ops::not_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9623 | } |
| 9624 | |
| 9625 | // aten::not_equal.Scalar(Tensor self, Scalar other) -> Tensor |
| 9626 | inline at::Tensor not_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9627 | return at::_ops::not_equal_Scalar::redispatch(dispatchKeySet, self, other); |
| 9628 | } |
| 9629 | |
| 9630 | // aten::not_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9631 | inline at::Tensor & not_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9632 | return at::_ops::not_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9633 | } |
| 9634 | |
| 9635 | // aten::not_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9636 | inline at::Tensor & not_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9637 | return at::_ops::not_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9638 | } |
| 9639 | |
| 9640 | // aten::not_equal.Tensor(Tensor self, Tensor other) -> Tensor |
| 9641 | inline at::Tensor not_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9642 | return at::_ops::not_equal_Tensor::redispatch(dispatchKeySet, self, other); |
| 9643 | } |
| 9644 | |
| 9645 | // aten::not_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9646 | inline at::Tensor & not_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9647 | return at::_ops::not_equal__Scalar::redispatch(dispatchKeySet, self, other); |
| 9648 | } |
| 9649 | |
| 9650 | // aten::not_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9651 | inline at::Tensor & not_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9652 | return at::_ops::not_equal__Tensor::redispatch(dispatchKeySet, self, other); |
| 9653 | } |
| 9654 | |
| 9655 | // aten::eq.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9656 | inline at::Tensor & eq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9657 | return at::_ops::eq_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9658 | } |
| 9659 | |
| 9660 | // aten::eq.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9661 | inline at::Tensor & eq_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9662 | return at::_ops::eq_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9663 | } |
| 9664 | |
| 9665 | // aten::eq.Scalar(Tensor self, Scalar other) -> Tensor |
| 9666 | inline at::Tensor eq(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9667 | return at::_ops::eq_Scalar::redispatch(dispatchKeySet, self, other); |
| 9668 | } |
| 9669 | |
| 9670 | // aten::eq.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9671 | inline at::Tensor & eq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9672 | return at::_ops::eq_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9673 | } |
| 9674 | |
| 9675 | // aten::eq.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9676 | inline at::Tensor & eq_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9677 | return at::_ops::eq_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9678 | } |
| 9679 | |
| 9680 | // aten::eq.Tensor(Tensor self, Tensor other) -> Tensor |
| 9681 | inline at::Tensor eq(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9682 | return at::_ops::eq_Tensor::redispatch(dispatchKeySet, self, other); |
| 9683 | } |
| 9684 | |
| 9685 | // aten::ge.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9686 | inline at::Tensor & ge_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9687 | return at::_ops::ge_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9688 | } |
| 9689 | |
| 9690 | // aten::ge.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9691 | inline at::Tensor & ge_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9692 | return at::_ops::ge_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9693 | } |
| 9694 | |
| 9695 | // aten::ge.Scalar(Tensor self, Scalar other) -> Tensor |
| 9696 | inline at::Tensor ge(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9697 | return at::_ops::ge_Scalar::redispatch(dispatchKeySet, self, other); |
| 9698 | } |
| 9699 | |
| 9700 | // aten::ge.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9701 | inline at::Tensor & ge_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9702 | return at::_ops::ge_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9703 | } |
| 9704 | |
| 9705 | // aten::ge.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9706 | inline at::Tensor & ge_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9707 | return at::_ops::ge_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9708 | } |
| 9709 | |
| 9710 | // aten::ge.Tensor(Tensor self, Tensor other) -> Tensor |
| 9711 | inline at::Tensor ge(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9712 | return at::_ops::ge_Tensor::redispatch(dispatchKeySet, self, other); |
| 9713 | } |
| 9714 | |
| 9715 | // aten::ge_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9716 | inline at::Tensor & ge_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9717 | return at::_ops::ge__Scalar::redispatch(dispatchKeySet, self, other); |
| 9718 | } |
| 9719 | |
| 9720 | // aten::ge_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9721 | inline at::Tensor & ge_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9722 | return at::_ops::ge__Tensor::redispatch(dispatchKeySet, self, other); |
| 9723 | } |
| 9724 | |
| 9725 | // aten::greater_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9726 | inline at::Tensor & greater_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9727 | return at::_ops::greater_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9728 | } |
| 9729 | |
| 9730 | // aten::greater_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9731 | inline at::Tensor & greater_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9732 | return at::_ops::greater_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9733 | } |
| 9734 | |
| 9735 | // aten::greater_equal.Scalar(Tensor self, Scalar other) -> Tensor |
| 9736 | inline at::Tensor greater_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9737 | return at::_ops::greater_equal_Scalar::redispatch(dispatchKeySet, self, other); |
| 9738 | } |
| 9739 | |
| 9740 | // aten::greater_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9741 | inline at::Tensor & greater_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9742 | return at::_ops::greater_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9743 | } |
| 9744 | |
| 9745 | // aten::greater_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9746 | inline at::Tensor & greater_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9747 | return at::_ops::greater_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9748 | } |
| 9749 | |
| 9750 | // aten::greater_equal.Tensor(Tensor self, Tensor other) -> Tensor |
| 9751 | inline at::Tensor greater_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9752 | return at::_ops::greater_equal_Tensor::redispatch(dispatchKeySet, self, other); |
| 9753 | } |
| 9754 | |
| 9755 | // aten::greater_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9756 | inline at::Tensor & greater_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9757 | return at::_ops::greater_equal__Scalar::redispatch(dispatchKeySet, self, other); |
| 9758 | } |
| 9759 | |
| 9760 | // aten::greater_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9761 | inline at::Tensor & greater_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9762 | return at::_ops::greater_equal__Tensor::redispatch(dispatchKeySet, self, other); |
| 9763 | } |
| 9764 | |
| 9765 | // aten::le.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9766 | inline at::Tensor & le_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9767 | return at::_ops::le_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9768 | } |
| 9769 | |
| 9770 | // aten::le.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9771 | inline at::Tensor & le_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9772 | return at::_ops::le_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9773 | } |
| 9774 | |
| 9775 | // aten::le.Scalar(Tensor self, Scalar other) -> Tensor |
| 9776 | inline at::Tensor le(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9777 | return at::_ops::le_Scalar::redispatch(dispatchKeySet, self, other); |
| 9778 | } |
| 9779 | |
| 9780 | // aten::le.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9781 | inline at::Tensor & le_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9782 | return at::_ops::le_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9783 | } |
| 9784 | |
| 9785 | // aten::le.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9786 | inline at::Tensor & le_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9787 | return at::_ops::le_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9788 | } |
| 9789 | |
| 9790 | // aten::le.Tensor(Tensor self, Tensor other) -> Tensor |
| 9791 | inline at::Tensor le(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9792 | return at::_ops::le_Tensor::redispatch(dispatchKeySet, self, other); |
| 9793 | } |
| 9794 | |
| 9795 | // aten::le_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9796 | inline at::Tensor & le_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9797 | return at::_ops::le__Scalar::redispatch(dispatchKeySet, self, other); |
| 9798 | } |
| 9799 | |
| 9800 | // aten::le_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9801 | inline at::Tensor & le_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9802 | return at::_ops::le__Tensor::redispatch(dispatchKeySet, self, other); |
| 9803 | } |
| 9804 | |
| 9805 | // aten::less_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9806 | inline at::Tensor & less_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9807 | return at::_ops::less_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9808 | } |
| 9809 | |
| 9810 | // aten::less_equal.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9811 | inline at::Tensor & less_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9812 | return at::_ops::less_equal_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9813 | } |
| 9814 | |
| 9815 | // aten::less_equal.Scalar(Tensor self, Scalar other) -> Tensor |
| 9816 | inline at::Tensor less_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9817 | return at::_ops::less_equal_Scalar::redispatch(dispatchKeySet, self, other); |
| 9818 | } |
| 9819 | |
| 9820 | // aten::less_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9821 | inline at::Tensor & less_equal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9822 | return at::_ops::less_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9823 | } |
| 9824 | |
| 9825 | // aten::less_equal.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9826 | inline at::Tensor & less_equal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9827 | return at::_ops::less_equal_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9828 | } |
| 9829 | |
| 9830 | // aten::less_equal.Tensor(Tensor self, Tensor other) -> Tensor |
| 9831 | inline at::Tensor less_equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9832 | return at::_ops::less_equal_Tensor::redispatch(dispatchKeySet, self, other); |
| 9833 | } |
| 9834 | |
| 9835 | // aten::less_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9836 | inline at::Tensor & less_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9837 | return at::_ops::less_equal__Scalar::redispatch(dispatchKeySet, self, other); |
| 9838 | } |
| 9839 | |
| 9840 | // aten::less_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9841 | inline at::Tensor & less_equal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9842 | return at::_ops::less_equal__Tensor::redispatch(dispatchKeySet, self, other); |
| 9843 | } |
| 9844 | |
| 9845 | // aten::gt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9846 | inline at::Tensor & gt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9847 | return at::_ops::gt_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9848 | } |
| 9849 | |
| 9850 | // aten::gt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9851 | inline at::Tensor & gt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9852 | return at::_ops::gt_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9853 | } |
| 9854 | |
| 9855 | // aten::gt.Scalar(Tensor self, Scalar other) -> Tensor |
| 9856 | inline at::Tensor gt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9857 | return at::_ops::gt_Scalar::redispatch(dispatchKeySet, self, other); |
| 9858 | } |
| 9859 | |
| 9860 | // aten::gt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9861 | inline at::Tensor & gt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9862 | return at::_ops::gt_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9863 | } |
| 9864 | |
| 9865 | // aten::gt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9866 | inline at::Tensor & gt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9867 | return at::_ops::gt_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9868 | } |
| 9869 | |
| 9870 | // aten::gt.Tensor(Tensor self, Tensor other) -> Tensor |
| 9871 | inline at::Tensor gt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9872 | return at::_ops::gt_Tensor::redispatch(dispatchKeySet, self, other); |
| 9873 | } |
| 9874 | |
| 9875 | // aten::gt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9876 | inline at::Tensor & gt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9877 | return at::_ops::gt__Scalar::redispatch(dispatchKeySet, self, other); |
| 9878 | } |
| 9879 | |
| 9880 | // aten::gt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9881 | inline at::Tensor & gt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9882 | return at::_ops::gt__Tensor::redispatch(dispatchKeySet, self, other); |
| 9883 | } |
| 9884 | |
| 9885 | // aten::greater.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9886 | inline at::Tensor & greater_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9887 | return at::_ops::greater_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9888 | } |
| 9889 | |
| 9890 | // aten::greater.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9891 | inline at::Tensor & greater_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9892 | return at::_ops::greater_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9893 | } |
| 9894 | |
| 9895 | // aten::greater.Scalar(Tensor self, Scalar other) -> Tensor |
| 9896 | inline at::Tensor greater(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9897 | return at::_ops::greater_Scalar::redispatch(dispatchKeySet, self, other); |
| 9898 | } |
| 9899 | |
| 9900 | // aten::greater.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9901 | inline at::Tensor & greater_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9902 | return at::_ops::greater_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9903 | } |
| 9904 | |
| 9905 | // aten::greater.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9906 | inline at::Tensor & greater_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9907 | return at::_ops::greater_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9908 | } |
| 9909 | |
| 9910 | // aten::greater.Tensor(Tensor self, Tensor other) -> Tensor |
| 9911 | inline at::Tensor greater(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9912 | return at::_ops::greater_Tensor::redispatch(dispatchKeySet, self, other); |
| 9913 | } |
| 9914 | |
| 9915 | // aten::greater_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9916 | inline at::Tensor & greater_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9917 | return at::_ops::greater__Scalar::redispatch(dispatchKeySet, self, other); |
| 9918 | } |
| 9919 | |
| 9920 | // aten::greater_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9921 | inline at::Tensor & greater_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9922 | return at::_ops::greater__Tensor::redispatch(dispatchKeySet, self, other); |
| 9923 | } |
| 9924 | |
| 9925 | // aten::lt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9926 | inline at::Tensor & lt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9927 | return at::_ops::lt_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9928 | } |
| 9929 | |
| 9930 | // aten::lt.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9931 | inline at::Tensor & lt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9932 | return at::_ops::lt_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9933 | } |
| 9934 | |
| 9935 | // aten::lt.Scalar(Tensor self, Scalar other) -> Tensor |
| 9936 | inline at::Tensor lt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9937 | return at::_ops::lt_Scalar::redispatch(dispatchKeySet, self, other); |
| 9938 | } |
| 9939 | |
| 9940 | // aten::lt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9941 | inline at::Tensor & lt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9942 | return at::_ops::lt_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9943 | } |
| 9944 | |
| 9945 | // aten::lt.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9946 | inline at::Tensor & lt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9947 | return at::_ops::lt_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9948 | } |
| 9949 | |
| 9950 | // aten::lt.Tensor(Tensor self, Tensor other) -> Tensor |
| 9951 | inline at::Tensor lt(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9952 | return at::_ops::lt_Tensor::redispatch(dispatchKeySet, self, other); |
| 9953 | } |
| 9954 | |
| 9955 | // aten::lt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9956 | inline at::Tensor & lt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9957 | return at::_ops::lt__Scalar::redispatch(dispatchKeySet, self, other); |
| 9958 | } |
| 9959 | |
| 9960 | // aten::lt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 9961 | inline at::Tensor & lt_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 9962 | return at::_ops::lt__Tensor::redispatch(dispatchKeySet, self, other); |
| 9963 | } |
| 9964 | |
| 9965 | // aten::less.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9966 | inline at::Tensor & less_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 9967 | return at::_ops::less_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9968 | } |
| 9969 | |
| 9970 | // aten::less.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 9971 | inline at::Tensor & less_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 9972 | return at::_ops::less_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 9973 | } |
| 9974 | |
| 9975 | // aten::less.Scalar(Tensor self, Scalar other) -> Tensor |
| 9976 | inline at::Tensor less(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 9977 | return at::_ops::less_Scalar::redispatch(dispatchKeySet, self, other); |
| 9978 | } |
| 9979 | |
| 9980 | // aten::less.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9981 | inline at::Tensor & less_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9982 | return at::_ops::less_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9983 | } |
| 9984 | |
| 9985 | // aten::less.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 9986 | inline at::Tensor & less_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9987 | return at::_ops::less_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 9988 | } |
| 9989 | |
| 9990 | // aten::less.Tensor(Tensor self, Tensor other) -> Tensor |
| 9991 | inline at::Tensor less(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 9992 | return at::_ops::less_Tensor::redispatch(dispatchKeySet, self, other); |
| 9993 | } |
| 9994 | |
| 9995 | // aten::less_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 9996 | inline at::Tensor & less_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 9997 | return at::_ops::less__Scalar::redispatch(dispatchKeySet, self, other); |
| 9998 | } |
| 9999 | |
| 10000 | // aten::less_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10001 | inline at::Tensor & less_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10002 | return at::_ops::less__Tensor::redispatch(dispatchKeySet, self, other); |
| 10003 | } |
| 10004 | |
| 10005 | // aten::take.out(Tensor self, Tensor index, *, Tensor(a!) out) -> Tensor(a!) |
| 10006 | inline at::Tensor & take_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & index) { |
| 10007 | return at::_ops::take_out::redispatch(dispatchKeySet, self, index, out); |
| 10008 | } |
| 10009 | |
| 10010 | // aten::take.out(Tensor self, Tensor index, *, Tensor(a!) out) -> Tensor(a!) |
| 10011 | inline at::Tensor & take_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & index, at::Tensor & out) { |
| 10012 | return at::_ops::take_out::redispatch(dispatchKeySet, self, index, out); |
| 10013 | } |
| 10014 | |
| 10015 | // aten::take(Tensor self, Tensor index) -> Tensor |
| 10016 | inline at::Tensor take(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & index) { |
| 10017 | return at::_ops::take::redispatch(dispatchKeySet, self, index); |
| 10018 | } |
| 10019 | |
| 10020 | // aten::take_along_dim.out(Tensor self, Tensor indices, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 10021 | inline at::Tensor & take_along_dim_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim=c10::nullopt) { |
| 10022 | return at::_ops::take_along_dim_out::redispatch(dispatchKeySet, self, indices, dim, out); |
| 10023 | } |
| 10024 | |
| 10025 | // aten::take_along_dim.out(Tensor self, Tensor indices, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 10026 | inline at::Tensor & take_along_dim_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim, at::Tensor & out) { |
| 10027 | return at::_ops::take_along_dim_out::redispatch(dispatchKeySet, self, indices, dim, out); |
| 10028 | } |
| 10029 | |
| 10030 | // aten::take_along_dim(Tensor self, Tensor indices, int? dim=None) -> Tensor |
| 10031 | inline at::Tensor take_along_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim=c10::nullopt) { |
| 10032 | return at::_ops::take_along_dim::redispatch(dispatchKeySet, self, indices, dim); |
| 10033 | } |
| 10034 | |
| 10035 | // aten::index_select.out(Tensor self, int dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!) |
| 10036 | inline at::Tensor & index_select_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index) { |
| 10037 | return at::_ops::index_select_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 10038 | } |
| 10039 | |
| 10040 | // aten::index_select.out(Tensor self, int dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!) |
| 10041 | inline at::Tensor & index_select_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, at::Tensor & out) { |
| 10042 | return at::_ops::index_select_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 10043 | } |
| 10044 | |
| 10045 | // aten::index_select(Tensor self, int dim, Tensor index) -> Tensor |
| 10046 | inline at::Tensor index_select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index) { |
| 10047 | return at::_ops::index_select::redispatch(dispatchKeySet, self, dim, index); |
| 10048 | } |
| 10049 | |
| 10050 | // aten::index_select.dimname_out(Tensor self, Dimname dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!) |
| 10051 | inline at::Tensor & index_select_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, const at::Tensor & index) { |
| 10052 | return at::_ops::index_select_dimname_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 10053 | } |
| 10054 | |
| 10055 | // aten::index_select.dimname_out(Tensor self, Dimname dim, Tensor index, *, Tensor(a!) out) -> Tensor(a!) |
| 10056 | inline at::Tensor & index_select_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, at::Tensor & out) { |
| 10057 | return at::_ops::index_select_dimname_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 10058 | } |
| 10059 | |
| 10060 | // aten::index_select.dimname(Tensor self, Dimname dim, Tensor index) -> Tensor |
| 10061 | inline at::Tensor index_select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index) { |
| 10062 | return at::_ops::index_select_dimname::redispatch(dispatchKeySet, self, dim, index); |
| 10063 | } |
| 10064 | |
| 10065 | // aten::index_select_backward(Tensor grad, SymInt[] self_sizes, int dim, Tensor index) -> Tensor |
| 10066 | inline at::Tensor index_select_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, at::IntArrayRef self_sizes, int64_t dim, const at::Tensor & index) { |
| 10067 | return at::_ops::index_select_backward::redispatch(dispatchKeySet, grad, c10::fromIntArrayRefSlow(self_sizes), dim, index); |
| 10068 | } |
| 10069 | |
| 10070 | // aten::index_select_backward(Tensor grad, SymInt[] self_sizes, int dim, Tensor index) -> Tensor |
| 10071 | inline at::Tensor index_select_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, c10::SymIntArrayRef self_sizes, int64_t dim, const at::Tensor & index) { |
| 10072 | return at::_ops::index_select_backward::redispatch(dispatchKeySet, grad, self_sizes, dim, index); |
| 10073 | } |
| 10074 | |
| 10075 | // aten::masked_select.out(Tensor self, Tensor mask, *, Tensor(a!) out) -> Tensor(a!) |
| 10076 | inline at::Tensor & masked_select_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask) { |
| 10077 | return at::_ops::masked_select_out::redispatch(dispatchKeySet, self, mask, out); |
| 10078 | } |
| 10079 | |
| 10080 | // aten::masked_select.out(Tensor self, Tensor mask, *, Tensor(a!) out) -> Tensor(a!) |
| 10081 | inline at::Tensor & masked_select_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, at::Tensor & out) { |
| 10082 | return at::_ops::masked_select_out::redispatch(dispatchKeySet, self, mask, out); |
| 10083 | } |
| 10084 | |
| 10085 | // aten::masked_select(Tensor self, Tensor mask) -> Tensor |
| 10086 | inline at::Tensor masked_select(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask) { |
| 10087 | return at::_ops::masked_select::redispatch(dispatchKeySet, self, mask); |
| 10088 | } |
| 10089 | |
| 10090 | // aten::masked_select_backward(Tensor grad, Tensor input, Tensor mask) -> Tensor |
| 10091 | inline at::Tensor masked_select_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & input, const at::Tensor & mask) { |
| 10092 | return at::_ops::masked_select_backward::redispatch(dispatchKeySet, grad, input, mask); |
| 10093 | } |
| 10094 | |
| 10095 | // aten::nonzero.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10096 | inline at::Tensor & nonzero_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10097 | return at::_ops::nonzero_out::redispatch(dispatchKeySet, self, out); |
| 10098 | } |
| 10099 | |
| 10100 | // aten::nonzero.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10101 | inline at::Tensor & nonzero_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10102 | return at::_ops::nonzero_out::redispatch(dispatchKeySet, self, out); |
| 10103 | } |
| 10104 | |
| 10105 | // aten::nonzero(Tensor self) -> Tensor |
| 10106 | inline at::Tensor nonzero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10107 | return at::_ops::nonzero::redispatch(dispatchKeySet, self); |
| 10108 | } |
| 10109 | |
| 10110 | // aten::nonzero_numpy(Tensor self) -> Tensor[] |
| 10111 | inline ::std::vector<at::Tensor> nonzero_numpy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10112 | return at::_ops::nonzero_numpy::redispatch(dispatchKeySet, self); |
| 10113 | } |
| 10114 | |
| 10115 | // aten::argwhere(Tensor self) -> Tensor |
| 10116 | inline at::Tensor argwhere(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10117 | return at::_ops::argwhere::redispatch(dispatchKeySet, self); |
| 10118 | } |
| 10119 | |
| 10120 | // aten::gather.out(Tensor self, int dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!) |
| 10121 | inline at::Tensor & gather_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad=false) { |
| 10122 | return at::_ops::gather_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out); |
| 10123 | } |
| 10124 | |
| 10125 | // aten::gather.out(Tensor self, int dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!) |
| 10126 | inline at::Tensor & gather_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad, at::Tensor & out) { |
| 10127 | return at::_ops::gather_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out); |
| 10128 | } |
| 10129 | |
| 10130 | // aten::gather(Tensor self, int dim, Tensor index, *, bool sparse_grad=False) -> Tensor |
| 10131 | inline at::Tensor gather(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad=false) { |
| 10132 | return at::_ops::gather::redispatch(dispatchKeySet, self, dim, index, sparse_grad); |
| 10133 | } |
| 10134 | |
| 10135 | // aten::gather_backward(Tensor grad, Tensor self, int dim, Tensor index, bool sparse_grad) -> Tensor |
| 10136 | inline at::Tensor gather_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad) { |
| 10137 | return at::_ops::gather_backward::redispatch(dispatchKeySet, grad, self, dim, index, sparse_grad); |
| 10138 | } |
| 10139 | |
| 10140 | // aten::gather.dimname_out(Tensor self, Dimname dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!) |
| 10141 | inline at::Tensor & gather_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad=false) { |
| 10142 | return at::_ops::gather_dimname_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out); |
| 10143 | } |
| 10144 | |
| 10145 | // aten::gather.dimname_out(Tensor self, Dimname dim, Tensor index, *, bool sparse_grad=False, Tensor(a!) out) -> Tensor(a!) |
| 10146 | inline at::Tensor & gather_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad, at::Tensor & out) { |
| 10147 | return at::_ops::gather_dimname_out::redispatch(dispatchKeySet, self, dim, index, sparse_grad, out); |
| 10148 | } |
| 10149 | |
| 10150 | // aten::gather.dimname(Tensor self, Dimname dim, Tensor index, *, bool sparse_grad=False) -> Tensor |
| 10151 | inline at::Tensor gather(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad=false) { |
| 10152 | return at::_ops::gather_dimname::redispatch(dispatchKeySet, self, dim, index, sparse_grad); |
| 10153 | } |
| 10154 | |
| 10155 | // aten::_gather_sparse_backward(Tensor self, int dim, Tensor index, Tensor grad) -> Tensor |
| 10156 | inline at::Tensor _gather_sparse_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & grad) { |
| 10157 | return at::_ops::_gather_sparse_backward::redispatch(dispatchKeySet, self, dim, index, grad); |
| 10158 | } |
| 10159 | |
| 10160 | // aten::addcmul.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!) |
| 10161 | inline at::Tensor & addcmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) { |
| 10162 | return at::_ops::addcmul_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 10163 | } |
| 10164 | |
| 10165 | // aten::addcmul.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!) |
| 10166 | inline at::Tensor & addcmul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out) { |
| 10167 | return at::_ops::addcmul_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 10168 | } |
| 10169 | |
| 10170 | // aten::addcmul(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor |
| 10171 | inline at::Tensor addcmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) { |
| 10172 | return at::_ops::addcmul::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 10173 | } |
| 10174 | |
| 10175 | // aten::addcmul_(Tensor(a!) self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor(a!) |
| 10176 | inline at::Tensor & addcmul_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) { |
| 10177 | return at::_ops::addcmul_::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 10178 | } |
| 10179 | |
| 10180 | // aten::addcdiv.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!) |
| 10181 | inline at::Tensor & addcdiv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) { |
| 10182 | return at::_ops::addcdiv_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 10183 | } |
| 10184 | |
| 10185 | // aten::addcdiv.out(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1, Tensor(a!) out) -> Tensor(a!) |
| 10186 | inline at::Tensor & addcdiv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value, at::Tensor & out) { |
| 10187 | return at::_ops::addcdiv_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 10188 | } |
| 10189 | |
| 10190 | // aten::addcdiv(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor |
| 10191 | inline at::Tensor addcdiv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) { |
| 10192 | return at::_ops::addcdiv::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 10193 | } |
| 10194 | |
| 10195 | // aten::addcdiv_(Tensor(a!) self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor(a!) |
| 10196 | inline at::Tensor & addcdiv_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) { |
| 10197 | return at::_ops::addcdiv_::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 10198 | } |
| 10199 | |
| 10200 | // aten::cross_entropy_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, float label_smoothing=0.0) -> Tensor |
| 10201 | inline at::Tensor cross_entropy_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100, double label_smoothing=0.0) { |
| 10202 | return at::_ops::cross_entropy_loss::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, label_smoothing); |
| 10203 | } |
| 10204 | |
| 10205 | // aten::cross_entropy_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, float label_smoothing=0.0) -> Tensor |
| 10206 | inline at::Tensor cross_entropy_loss_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100, double label_smoothing=0.0) { |
| 10207 | return at::_ops::cross_entropy_loss::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, label_smoothing); |
| 10208 | } |
| 10209 | |
| 10210 | // aten::triangular_solve.X(Tensor self, Tensor A, bool upper=True, bool transpose=False, bool unitriangular=False, *, Tensor(a!) X, Tensor(b!) M) -> (Tensor(a!) solution, Tensor(b!) cloned_coefficient) |
| 10211 | inline ::std::tuple<at::Tensor &,at::Tensor &> triangular_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & X, at::Tensor & M, const at::Tensor & self, const at::Tensor & A, bool upper=true, bool transpose=false, bool unitriangular=false) { |
| 10212 | return at::_ops::triangular_solve_X::redispatch(dispatchKeySet, self, A, upper, transpose, unitriangular, X, M); |
| 10213 | } |
| 10214 | |
| 10215 | // aten::triangular_solve.X(Tensor self, Tensor A, bool upper=True, bool transpose=False, bool unitriangular=False, *, Tensor(a!) X, Tensor(b!) M) -> (Tensor(a!) solution, Tensor(b!) cloned_coefficient) |
| 10216 | inline ::std::tuple<at::Tensor &,at::Tensor &> triangular_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, bool upper, bool transpose, bool unitriangular, at::Tensor & X, at::Tensor & M) { |
| 10217 | return at::_ops::triangular_solve_X::redispatch(dispatchKeySet, self, A, upper, transpose, unitriangular, X, M); |
| 10218 | } |
| 10219 | |
| 10220 | // aten::triangular_solve(Tensor self, Tensor A, bool upper=True, bool transpose=False, bool unitriangular=False) -> (Tensor solution, Tensor cloned_coefficient) |
| 10221 | inline ::std::tuple<at::Tensor,at::Tensor> triangular_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, bool upper=true, bool transpose=false, bool unitriangular=false) { |
| 10222 | return at::_ops::triangular_solve::redispatch(dispatchKeySet, self, A, upper, transpose, unitriangular); |
| 10223 | } |
| 10224 | |
| 10225 | // aten::_linalg_check_errors(Tensor info, str api_name, *, bool is_matrix) -> () |
| 10226 | inline void _linalg_check_errors(c10::DispatchKeySet dispatchKeySet, const at::Tensor & info, c10::string_view api_name, bool is_matrix) { |
| 10227 | return at::_ops::_linalg_check_errors::redispatch(dispatchKeySet, info, api_name, is_matrix); |
| 10228 | } |
| 10229 | |
| 10230 | // aten::linalg_solve_triangular.out(Tensor self, Tensor B, *, bool upper, bool left=True, bool unitriangular=False, Tensor(a!) out) -> Tensor(a!) |
| 10231 | inline at::Tensor & linalg_solve_triangular_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & B, bool upper, bool left=true, bool unitriangular=false) { |
| 10232 | return at::_ops::linalg_solve_triangular_out::redispatch(dispatchKeySet, self, B, upper, left, unitriangular, out); |
| 10233 | } |
| 10234 | |
| 10235 | // aten::linalg_solve_triangular.out(Tensor self, Tensor B, *, bool upper, bool left=True, bool unitriangular=False, Tensor(a!) out) -> Tensor(a!) |
| 10236 | inline at::Tensor & linalg_solve_triangular_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & B, bool upper, bool left, bool unitriangular, at::Tensor & out) { |
| 10237 | return at::_ops::linalg_solve_triangular_out::redispatch(dispatchKeySet, self, B, upper, left, unitriangular, out); |
| 10238 | } |
| 10239 | |
| 10240 | // aten::linalg_solve_triangular(Tensor self, Tensor B, *, bool upper, bool left=True, bool unitriangular=False) -> Tensor |
| 10241 | inline at::Tensor linalg_solve_triangular(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & B, bool upper, bool left=true, bool unitriangular=false) { |
| 10242 | return at::_ops::linalg_solve_triangular::redispatch(dispatchKeySet, self, B, upper, left, unitriangular); |
| 10243 | } |
| 10244 | |
| 10245 | // aten::linalg_vander(Tensor x, *, int? N=None) -> Tensor |
| 10246 | inline at::Tensor linalg_vander(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, c10::optional<int64_t> N=c10::nullopt) { |
| 10247 | return at::_ops::linalg_vander::redispatch(dispatchKeySet, x, N); |
| 10248 | } |
| 10249 | |
| 10250 | // aten::svd.U(Tensor self, bool some=True, bool compute_uv=True, *, Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) |
| 10251 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> svd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & U, at::Tensor & S, at::Tensor & V, const at::Tensor & self, bool some=true, bool compute_uv=true) { |
| 10252 | return at::_ops::svd_U::redispatch(dispatchKeySet, self, some, compute_uv, U, S, V); |
| 10253 | } |
| 10254 | |
| 10255 | // aten::svd.U(Tensor self, bool some=True, bool compute_uv=True, *, Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) V) |
| 10256 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> svd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some, bool compute_uv, at::Tensor & U, at::Tensor & S, at::Tensor & V) { |
| 10257 | return at::_ops::svd_U::redispatch(dispatchKeySet, self, some, compute_uv, U, S, V); |
| 10258 | } |
| 10259 | |
| 10260 | // aten::svd(Tensor self, bool some=True, bool compute_uv=True) -> (Tensor U, Tensor S, Tensor V) |
| 10261 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> svd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some=true, bool compute_uv=true) { |
| 10262 | return at::_ops::svd::redispatch(dispatchKeySet, self, some, compute_uv); |
| 10263 | } |
| 10264 | |
| 10265 | // aten::swapaxes(Tensor(a) self, int axis0, int axis1) -> Tensor(a) |
| 10266 | inline at::Tensor swapaxes(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t axis0, int64_t axis1) { |
| 10267 | return at::_ops::swapaxes::redispatch(dispatchKeySet, self, axis0, axis1); |
| 10268 | } |
| 10269 | |
| 10270 | // aten::swapaxes_(Tensor(a!) self, int axis0, int axis1) -> Tensor(a!) |
| 10271 | inline at::Tensor & swapaxes_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t axis0, int64_t axis1) { |
| 10272 | return at::_ops::swapaxes_::redispatch(dispatchKeySet, self, axis0, axis1); |
| 10273 | } |
| 10274 | |
| 10275 | // aten::swapdims(Tensor(a) self, int dim0, int dim1) -> Tensor(a) |
| 10276 | inline at::Tensor swapdims(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 10277 | return at::_ops::swapdims::redispatch(dispatchKeySet, self, dim0, dim1); |
| 10278 | } |
| 10279 | |
| 10280 | // aten::swapdims_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!) |
| 10281 | inline at::Tensor & swapdims_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 10282 | return at::_ops::swapdims_::redispatch(dispatchKeySet, self, dim0, dim1); |
| 10283 | } |
| 10284 | |
| 10285 | // aten::cholesky.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10286 | inline at::Tensor & cholesky_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool upper=false) { |
| 10287 | return at::_ops::cholesky_out::redispatch(dispatchKeySet, self, upper, out); |
| 10288 | } |
| 10289 | |
| 10290 | // aten::cholesky.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10291 | inline at::Tensor & cholesky_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, at::Tensor & out) { |
| 10292 | return at::_ops::cholesky_out::redispatch(dispatchKeySet, self, upper, out); |
| 10293 | } |
| 10294 | |
| 10295 | // aten::cholesky(Tensor self, bool upper=False) -> Tensor |
| 10296 | inline at::Tensor cholesky(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false) { |
| 10297 | return at::_ops::cholesky::redispatch(dispatchKeySet, self, upper); |
| 10298 | } |
| 10299 | |
| 10300 | // aten::cholesky_solve.out(Tensor self, Tensor input2, bool upper=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10301 | inline at::Tensor & cholesky_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & input2, bool upper=false) { |
| 10302 | return at::_ops::cholesky_solve_out::redispatch(dispatchKeySet, self, input2, upper, out); |
| 10303 | } |
| 10304 | |
| 10305 | // aten::cholesky_solve.out(Tensor self, Tensor input2, bool upper=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10306 | inline at::Tensor & cholesky_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, bool upper, at::Tensor & out) { |
| 10307 | return at::_ops::cholesky_solve_out::redispatch(dispatchKeySet, self, input2, upper, out); |
| 10308 | } |
| 10309 | |
| 10310 | // aten::cholesky_solve(Tensor self, Tensor input2, bool upper=False) -> Tensor |
| 10311 | inline at::Tensor cholesky_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, bool upper=false) { |
| 10312 | return at::_ops::cholesky_solve::redispatch(dispatchKeySet, self, input2, upper); |
| 10313 | } |
| 10314 | |
| 10315 | // aten::_cholesky_solve_helper(Tensor self, Tensor A, bool upper) -> Tensor |
| 10316 | inline at::Tensor _cholesky_solve_helper(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, bool upper) { |
| 10317 | return at::_ops::_cholesky_solve_helper::redispatch(dispatchKeySet, self, A, upper); |
| 10318 | } |
| 10319 | |
| 10320 | // aten::cholesky_inverse(Tensor self, bool upper=False) -> Tensor |
| 10321 | inline at::Tensor cholesky_inverse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false) { |
| 10322 | return at::_ops::cholesky_inverse::redispatch(dispatchKeySet, self, upper); |
| 10323 | } |
| 10324 | |
| 10325 | // aten::cholesky_inverse.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10326 | inline at::Tensor & cholesky_inverse_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool upper=false) { |
| 10327 | return at::_ops::cholesky_inverse_out::redispatch(dispatchKeySet, self, upper, out); |
| 10328 | } |
| 10329 | |
| 10330 | // aten::cholesky_inverse.out(Tensor self, bool upper=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10331 | inline at::Tensor & cholesky_inverse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, at::Tensor & out) { |
| 10332 | return at::_ops::cholesky_inverse_out::redispatch(dispatchKeySet, self, upper, out); |
| 10333 | } |
| 10334 | |
| 10335 | // aten::qr.Q(Tensor self, bool some=True, *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R) |
| 10336 | inline ::std::tuple<at::Tensor &,at::Tensor &> qr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & Q, at::Tensor & R, const at::Tensor & self, bool some=true) { |
| 10337 | return at::_ops::qr_Q::redispatch(dispatchKeySet, self, some, Q, R); |
| 10338 | } |
| 10339 | |
| 10340 | // aten::qr.Q(Tensor self, bool some=True, *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R) |
| 10341 | inline ::std::tuple<at::Tensor &,at::Tensor &> qr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some, at::Tensor & Q, at::Tensor & R) { |
| 10342 | return at::_ops::qr_Q::redispatch(dispatchKeySet, self, some, Q, R); |
| 10343 | } |
| 10344 | |
| 10345 | // aten::qr(Tensor self, bool some=True) -> (Tensor Q, Tensor R) |
| 10346 | inline ::std::tuple<at::Tensor,at::Tensor> qr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool some=true) { |
| 10347 | return at::_ops::qr::redispatch(dispatchKeySet, self, some); |
| 10348 | } |
| 10349 | |
| 10350 | // aten::geqrf.a(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) -> (Tensor(a!) a, Tensor(b!) tau) |
| 10351 | inline ::std::tuple<at::Tensor &,at::Tensor &> geqrf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & a, at::Tensor & tau, const at::Tensor & self) { |
| 10352 | return at::_ops::geqrf_a::redispatch(dispatchKeySet, self, a, tau); |
| 10353 | } |
| 10354 | |
| 10355 | // aten::geqrf.a(Tensor self, *, Tensor(a!) a, Tensor(b!) tau) -> (Tensor(a!) a, Tensor(b!) tau) |
| 10356 | inline ::std::tuple<at::Tensor &,at::Tensor &> geqrf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & a, at::Tensor & tau) { |
| 10357 | return at::_ops::geqrf_a::redispatch(dispatchKeySet, self, a, tau); |
| 10358 | } |
| 10359 | |
| 10360 | // aten::geqrf(Tensor self) -> (Tensor a, Tensor tau) |
| 10361 | inline ::std::tuple<at::Tensor,at::Tensor> geqrf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10362 | return at::_ops::geqrf::redispatch(dispatchKeySet, self); |
| 10363 | } |
| 10364 | |
| 10365 | // aten::orgqr(Tensor self, Tensor input2) -> Tensor |
| 10366 | inline at::Tensor orgqr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2) { |
| 10367 | return at::_ops::orgqr::redispatch(dispatchKeySet, self, input2); |
| 10368 | } |
| 10369 | |
| 10370 | // aten::orgqr.out(Tensor self, Tensor input2, *, Tensor(a!) out) -> Tensor(a!) |
| 10371 | inline at::Tensor & orgqr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & input2) { |
| 10372 | return at::_ops::orgqr_out::redispatch(dispatchKeySet, self, input2, out); |
| 10373 | } |
| 10374 | |
| 10375 | // aten::orgqr.out(Tensor self, Tensor input2, *, Tensor(a!) out) -> Tensor(a!) |
| 10376 | inline at::Tensor & orgqr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, at::Tensor & out) { |
| 10377 | return at::_ops::orgqr_out::redispatch(dispatchKeySet, self, input2, out); |
| 10378 | } |
| 10379 | |
| 10380 | // aten::ormqr.out(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10381 | inline at::Tensor & ormqr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left=true, bool transpose=false) { |
| 10382 | return at::_ops::ormqr_out::redispatch(dispatchKeySet, self, input2, input3, left, transpose, out); |
| 10383 | } |
| 10384 | |
| 10385 | // aten::ormqr.out(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False, *, Tensor(a!) out) -> Tensor(a!) |
| 10386 | inline at::Tensor & ormqr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left, bool transpose, at::Tensor & out) { |
| 10387 | return at::_ops::ormqr_out::redispatch(dispatchKeySet, self, input2, input3, left, transpose, out); |
| 10388 | } |
| 10389 | |
| 10390 | // aten::ormqr(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False) -> Tensor |
| 10391 | inline at::Tensor ormqr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & input2, const at::Tensor & input3, bool left=true, bool transpose=false) { |
| 10392 | return at::_ops::ormqr::redispatch(dispatchKeySet, self, input2, input3, left, transpose); |
| 10393 | } |
| 10394 | |
| 10395 | // aten::_lu_with_info(Tensor self, bool pivot=True, bool check_errors=True) -> (Tensor LU, Tensor pivots, Tensor info) |
| 10396 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _lu_with_info(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool pivot=true, bool check_errors=true) { |
| 10397 | return at::_ops::_lu_with_info::redispatch(dispatchKeySet, self, pivot, check_errors); |
| 10398 | } |
| 10399 | |
| 10400 | // aten::lu_solve.out(Tensor self, Tensor LU_data, Tensor LU_pivots, *, Tensor(a!) out) -> Tensor(a!) |
| 10401 | inline at::Tensor & lu_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots) { |
| 10402 | return at::_ops::lu_solve_out::redispatch(dispatchKeySet, self, LU_data, LU_pivots, out); |
| 10403 | } |
| 10404 | |
| 10405 | // aten::lu_solve.out(Tensor self, Tensor LU_data, Tensor LU_pivots, *, Tensor(a!) out) -> Tensor(a!) |
| 10406 | inline at::Tensor & lu_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots, at::Tensor & out) { |
| 10407 | return at::_ops::lu_solve_out::redispatch(dispatchKeySet, self, LU_data, LU_pivots, out); |
| 10408 | } |
| 10409 | |
| 10410 | // aten::lu_solve(Tensor self, Tensor LU_data, Tensor LU_pivots) -> Tensor |
| 10411 | inline at::Tensor lu_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots) { |
| 10412 | return at::_ops::lu_solve::redispatch(dispatchKeySet, self, LU_data, LU_pivots); |
| 10413 | } |
| 10414 | |
| 10415 | // aten::lu_unpack(Tensor LU_data, Tensor LU_pivots, bool unpack_data=True, bool unpack_pivots=True) -> (Tensor P, Tensor L, Tensor U) |
| 10416 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lu_unpack(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LU_data, const at::Tensor & LU_pivots, bool unpack_data=true, bool unpack_pivots=true) { |
| 10417 | return at::_ops::lu_unpack::redispatch(dispatchKeySet, LU_data, LU_pivots, unpack_data, unpack_pivots); |
| 10418 | } |
| 10419 | |
| 10420 | // aten::lu_unpack.out(Tensor LU_data, Tensor LU_pivots, bool unpack_data=True, bool unpack_pivots=True, *, Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) -> (Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) |
| 10421 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> lu_unpack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & P, at::Tensor & L, at::Tensor & U, const at::Tensor & LU_data, const at::Tensor & LU_pivots, bool unpack_data=true, bool unpack_pivots=true) { |
| 10422 | return at::_ops::lu_unpack_out::redispatch(dispatchKeySet, LU_data, LU_pivots, unpack_data, unpack_pivots, P, L, U); |
| 10423 | } |
| 10424 | |
| 10425 | // aten::lu_unpack.out(Tensor LU_data, Tensor LU_pivots, bool unpack_data=True, bool unpack_pivots=True, *, Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) -> (Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) |
| 10426 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> lu_unpack_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LU_data, const at::Tensor & LU_pivots, bool unpack_data, bool unpack_pivots, at::Tensor & P, at::Tensor & L, at::Tensor & U) { |
| 10427 | return at::_ops::lu_unpack_out::redispatch(dispatchKeySet, LU_data, LU_pivots, unpack_data, unpack_pivots, P, L, U); |
| 10428 | } |
| 10429 | |
| 10430 | // aten::multinomial.out(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 10431 | inline at::Tensor & multinomial_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t num_samples, bool replacement=false, c10::optional<at::Generator> generator=c10::nullopt) { |
| 10432 | return at::_ops::multinomial_out::redispatch(dispatchKeySet, self, num_samples, replacement, generator, out); |
| 10433 | } |
| 10434 | |
| 10435 | // aten::multinomial.out(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 10436 | inline at::Tensor & multinomial_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t num_samples, bool replacement, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 10437 | return at::_ops::multinomial_out::redispatch(dispatchKeySet, self, num_samples, replacement, generator, out); |
| 10438 | } |
| 10439 | |
| 10440 | // aten::multinomial(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None) -> Tensor |
| 10441 | inline at::Tensor multinomial(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t num_samples, bool replacement=false, c10::optional<at::Generator> generator=c10::nullopt) { |
| 10442 | return at::_ops::multinomial::redispatch(dispatchKeySet, self, num_samples, replacement, generator); |
| 10443 | } |
| 10444 | |
| 10445 | // aten::lgamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10446 | inline at::Tensor & lgamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10447 | return at::_ops::lgamma_out::redispatch(dispatchKeySet, self, out); |
| 10448 | } |
| 10449 | |
| 10450 | // aten::lgamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10451 | inline at::Tensor & lgamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10452 | return at::_ops::lgamma_out::redispatch(dispatchKeySet, self, out); |
| 10453 | } |
| 10454 | |
| 10455 | // aten::lgamma_(Tensor(a!) self) -> Tensor(a!) |
| 10456 | inline at::Tensor & lgamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 10457 | return at::_ops::lgamma_::redispatch(dispatchKeySet, self); |
| 10458 | } |
| 10459 | |
| 10460 | // aten::lgamma(Tensor self) -> Tensor |
| 10461 | inline at::Tensor lgamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10462 | return at::_ops::lgamma::redispatch(dispatchKeySet, self); |
| 10463 | } |
| 10464 | |
| 10465 | // aten::digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10466 | inline at::Tensor & digamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10467 | return at::_ops::digamma_out::redispatch(dispatchKeySet, self, out); |
| 10468 | } |
| 10469 | |
| 10470 | // aten::digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10471 | inline at::Tensor & digamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10472 | return at::_ops::digamma_out::redispatch(dispatchKeySet, self, out); |
| 10473 | } |
| 10474 | |
| 10475 | // aten::digamma(Tensor self) -> Tensor |
| 10476 | inline at::Tensor digamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10477 | return at::_ops::digamma::redispatch(dispatchKeySet, self); |
| 10478 | } |
| 10479 | |
| 10480 | // aten::polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10481 | inline at::Tensor & polygamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, const at::Tensor & self) { |
| 10482 | return at::_ops::polygamma_out::redispatch(dispatchKeySet, n, self, out); |
| 10483 | } |
| 10484 | |
| 10485 | // aten::polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10486 | inline at::Tensor & polygamma_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self, at::Tensor & out) { |
| 10487 | return at::_ops::polygamma_out::redispatch(dispatchKeySet, n, self, out); |
| 10488 | } |
| 10489 | |
| 10490 | // aten::polygamma(int n, Tensor self) -> Tensor |
| 10491 | inline at::Tensor polygamma(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self) { |
| 10492 | return at::_ops::polygamma::redispatch(dispatchKeySet, n, self); |
| 10493 | } |
| 10494 | |
| 10495 | // aten::polygamma_(Tensor(a!) self, int n) -> Tensor(a!) |
| 10496 | inline at::Tensor & polygamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, int64_t n) { |
| 10497 | return at::_ops::polygamma_::redispatch(dispatchKeySet, self, n); |
| 10498 | } |
| 10499 | |
| 10500 | // aten::erfinv(Tensor self) -> Tensor |
| 10501 | inline at::Tensor erfinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10502 | return at::_ops::erfinv::redispatch(dispatchKeySet, self); |
| 10503 | } |
| 10504 | |
| 10505 | // aten::erfinv_(Tensor(a!) self) -> Tensor(a!) |
| 10506 | inline at::Tensor & erfinv_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 10507 | return at::_ops::erfinv_::redispatch(dispatchKeySet, self); |
| 10508 | } |
| 10509 | |
| 10510 | // aten::erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10511 | inline at::Tensor & erfinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10512 | return at::_ops::erfinv_out::redispatch(dispatchKeySet, self, out); |
| 10513 | } |
| 10514 | |
| 10515 | // aten::erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10516 | inline at::Tensor & erfinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10517 | return at::_ops::erfinv_out::redispatch(dispatchKeySet, self, out); |
| 10518 | } |
| 10519 | |
| 10520 | // aten::i0(Tensor self) -> Tensor |
| 10521 | inline at::Tensor i0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10522 | return at::_ops::i0::redispatch(dispatchKeySet, self); |
| 10523 | } |
| 10524 | |
| 10525 | // aten::i0_(Tensor(a!) self) -> Tensor(a!) |
| 10526 | inline at::Tensor & i0_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 10527 | return at::_ops::i0_::redispatch(dispatchKeySet, self); |
| 10528 | } |
| 10529 | |
| 10530 | // aten::i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10531 | inline at::Tensor & i0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10532 | return at::_ops::i0_out::redispatch(dispatchKeySet, self, out); |
| 10533 | } |
| 10534 | |
| 10535 | // aten::i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10536 | inline at::Tensor & i0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10537 | return at::_ops::i0_out::redispatch(dispatchKeySet, self, out); |
| 10538 | } |
| 10539 | |
| 10540 | // aten::sign(Tensor self) -> Tensor |
| 10541 | inline at::Tensor sign(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10542 | return at::_ops::sign::redispatch(dispatchKeySet, self); |
| 10543 | } |
| 10544 | |
| 10545 | // aten::sign_(Tensor(a!) self) -> Tensor(a!) |
| 10546 | inline at::Tensor & sign_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 10547 | return at::_ops::sign_::redispatch(dispatchKeySet, self); |
| 10548 | } |
| 10549 | |
| 10550 | // aten::sign.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10551 | inline at::Tensor & sign_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10552 | return at::_ops::sign_out::redispatch(dispatchKeySet, self, out); |
| 10553 | } |
| 10554 | |
| 10555 | // aten::sign.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10556 | inline at::Tensor & sign_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10557 | return at::_ops::sign_out::redispatch(dispatchKeySet, self, out); |
| 10558 | } |
| 10559 | |
| 10560 | // aten::signbit(Tensor self) -> Tensor |
| 10561 | inline at::Tensor signbit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10562 | return at::_ops::signbit::redispatch(dispatchKeySet, self); |
| 10563 | } |
| 10564 | |
| 10565 | // aten::signbit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10566 | inline at::Tensor & signbit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10567 | return at::_ops::signbit_out::redispatch(dispatchKeySet, self, out); |
| 10568 | } |
| 10569 | |
| 10570 | // aten::signbit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10571 | inline at::Tensor & signbit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10572 | return at::_ops::signbit_out::redispatch(dispatchKeySet, self, out); |
| 10573 | } |
| 10574 | |
| 10575 | // aten::dist(Tensor self, Tensor other, Scalar p=2) -> Tensor |
| 10576 | inline at::Tensor dist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & p=2) { |
| 10577 | return at::_ops::dist::redispatch(dispatchKeySet, self, other, p); |
| 10578 | } |
| 10579 | |
| 10580 | // aten::atan2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10581 | inline at::Tensor & atan2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10582 | return at::_ops::atan2_out::redispatch(dispatchKeySet, self, other, out); |
| 10583 | } |
| 10584 | |
| 10585 | // aten::atan2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10586 | inline at::Tensor & atan2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10587 | return at::_ops::atan2_out::redispatch(dispatchKeySet, self, other, out); |
| 10588 | } |
| 10589 | |
| 10590 | // aten::atan2_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10591 | inline at::Tensor & atan2_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10592 | return at::_ops::atan2_::redispatch(dispatchKeySet, self, other); |
| 10593 | } |
| 10594 | |
| 10595 | // aten::atan2(Tensor self, Tensor other) -> Tensor |
| 10596 | inline at::Tensor atan2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10597 | return at::_ops::atan2::redispatch(dispatchKeySet, self, other); |
| 10598 | } |
| 10599 | |
| 10600 | // aten::arctan2(Tensor self, Tensor other) -> Tensor |
| 10601 | inline at::Tensor arctan2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10602 | return at::_ops::arctan2::redispatch(dispatchKeySet, self, other); |
| 10603 | } |
| 10604 | |
| 10605 | // aten::arctan2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10606 | inline at::Tensor & arctan2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10607 | return at::_ops::arctan2_out::redispatch(dispatchKeySet, self, other, out); |
| 10608 | } |
| 10609 | |
| 10610 | // aten::arctan2.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10611 | inline at::Tensor & arctan2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10612 | return at::_ops::arctan2_out::redispatch(dispatchKeySet, self, other, out); |
| 10613 | } |
| 10614 | |
| 10615 | // aten::arctan2_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10616 | inline at::Tensor & arctan2_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10617 | return at::_ops::arctan2_::redispatch(dispatchKeySet, self, other); |
| 10618 | } |
| 10619 | |
| 10620 | // aten::lerp.Scalar_out(Tensor self, Tensor end, Scalar weight, *, Tensor(a!) out) -> Tensor(a!) |
| 10621 | inline at::Tensor & lerp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) { |
| 10622 | return at::_ops::lerp_Scalar_out::redispatch(dispatchKeySet, self, end, weight, out); |
| 10623 | } |
| 10624 | |
| 10625 | // aten::lerp.Scalar_out(Tensor self, Tensor end, Scalar weight, *, Tensor(a!) out) -> Tensor(a!) |
| 10626 | inline at::Tensor & lerp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight, at::Tensor & out) { |
| 10627 | return at::_ops::lerp_Scalar_out::redispatch(dispatchKeySet, self, end, weight, out); |
| 10628 | } |
| 10629 | |
| 10630 | // aten::lerp.Tensor_out(Tensor self, Tensor end, Tensor weight, *, Tensor(a!) out) -> Tensor(a!) |
| 10631 | inline at::Tensor & lerp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) { |
| 10632 | return at::_ops::lerp_Tensor_out::redispatch(dispatchKeySet, self, end, weight, out); |
| 10633 | } |
| 10634 | |
| 10635 | // aten::lerp.Tensor_out(Tensor self, Tensor end, Tensor weight, *, Tensor(a!) out) -> Tensor(a!) |
| 10636 | inline at::Tensor & lerp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight, at::Tensor & out) { |
| 10637 | return at::_ops::lerp_Tensor_out::redispatch(dispatchKeySet, self, end, weight, out); |
| 10638 | } |
| 10639 | |
| 10640 | // aten::lerp.Scalar(Tensor self, Tensor end, Scalar weight) -> Tensor |
| 10641 | inline at::Tensor lerp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Scalar & weight) { |
| 10642 | return at::_ops::lerp_Scalar::redispatch(dispatchKeySet, self, end, weight); |
| 10643 | } |
| 10644 | |
| 10645 | // aten::lerp.Tensor(Tensor self, Tensor end, Tensor weight) -> Tensor |
| 10646 | inline at::Tensor lerp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & end, const at::Tensor & weight) { |
| 10647 | return at::_ops::lerp_Tensor::redispatch(dispatchKeySet, self, end, weight); |
| 10648 | } |
| 10649 | |
| 10650 | // aten::histc.out(Tensor self, int bins=100, Scalar min=0, Scalar max=0, *, Tensor(a!) out) -> Tensor(a!) |
| 10651 | inline at::Tensor & histc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t bins=100, const at::Scalar & min=0, const at::Scalar & max=0) { |
| 10652 | return at::_ops::histc_out::redispatch(dispatchKeySet, self, bins, min, max, out); |
| 10653 | } |
| 10654 | |
| 10655 | // aten::histc.out(Tensor self, int bins=100, Scalar min=0, Scalar max=0, *, Tensor(a!) out) -> Tensor(a!) |
| 10656 | inline at::Tensor & histc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins, const at::Scalar & min, const at::Scalar & max, at::Tensor & out) { |
| 10657 | return at::_ops::histc_out::redispatch(dispatchKeySet, self, bins, min, max, out); |
| 10658 | } |
| 10659 | |
| 10660 | // aten::histc(Tensor self, int bins=100, Scalar min=0, Scalar max=0) -> Tensor |
| 10661 | inline at::Tensor histc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins=100, const at::Scalar & min=0, const at::Scalar & max=0) { |
| 10662 | return at::_ops::histc::redispatch(dispatchKeySet, self, bins, min, max); |
| 10663 | } |
| 10664 | |
| 10665 | // aten::histogram.bins_tensor_out(Tensor self, Tensor bins, *, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges) |
| 10666 | inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & hist, at::Tensor & bin_edges, const at::Tensor & self, const at::Tensor & bins, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10667 | return at::_ops::histogram_bins_tensor_out::redispatch(dispatchKeySet, self, bins, weight, density, hist, bin_edges); |
| 10668 | } |
| 10669 | |
| 10670 | // aten::histogram.bins_tensor_out(Tensor self, Tensor bins, *, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges) |
| 10671 | inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & bins, const c10::optional<at::Tensor> & weight, bool density, at::Tensor & hist, at::Tensor & bin_edges) { |
| 10672 | return at::_ops::histogram_bins_tensor_out::redispatch(dispatchKeySet, self, bins, weight, density, hist, bin_edges); |
| 10673 | } |
| 10674 | |
| 10675 | // aten::histogram.bins_tensor(Tensor self, Tensor bins, *, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor bin_edges) |
| 10676 | inline ::std::tuple<at::Tensor,at::Tensor> histogram(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & bins, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10677 | return at::_ops::histogram_bins_tensor::redispatch(dispatchKeySet, self, bins, weight, density); |
| 10678 | } |
| 10679 | |
| 10680 | // aten::histogram.bin_ct_out(Tensor self, int bins=100, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges) |
| 10681 | inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & hist, at::Tensor & bin_edges, const at::Tensor & self, int64_t bins=100, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10682 | return at::_ops::histogram_bin_ct_out::redispatch(dispatchKeySet, self, bins, range, weight, density, hist, bin_edges); |
| 10683 | } |
| 10684 | |
| 10685 | // aten::histogram.bin_ct_out(Tensor self, int bins=100, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!) hist, Tensor(b!) bin_edges) -> (Tensor(a!) hist, Tensor(b!) bin_edges) |
| 10686 | inline ::std::tuple<at::Tensor &,at::Tensor &> histogram_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density, at::Tensor & hist, at::Tensor & bin_edges) { |
| 10687 | return at::_ops::histogram_bin_ct_out::redispatch(dispatchKeySet, self, bins, range, weight, density, hist, bin_edges); |
| 10688 | } |
| 10689 | |
| 10690 | // aten::histogram.bin_ct(Tensor self, int bins=100, *, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor bin_edges) |
| 10691 | inline ::std::tuple<at::Tensor,at::Tensor> histogram(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins=100, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10692 | return at::_ops::histogram_bin_ct::redispatch(dispatchKeySet, self, bins, range, weight, density); |
| 10693 | } |
| 10694 | |
| 10695 | // aten::_histogramdd_bin_edges(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False) -> Tensor[] |
| 10696 | inline ::std::vector<at::Tensor> _histogramdd_bin_edges(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10697 | return at::_ops::_histogramdd_bin_edges::redispatch(dispatchKeySet, self, bins, range, weight, density); |
| 10698 | } |
| 10699 | |
| 10700 | // aten::_histogramdd_from_bin_cts(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False) -> Tensor |
| 10701 | inline at::Tensor _histogramdd_from_bin_cts(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10702 | return at::_ops::_histogramdd_from_bin_cts::redispatch(dispatchKeySet, self, bins, range, weight, density); |
| 10703 | } |
| 10704 | |
| 10705 | // aten::_histogramdd_from_bin_tensors(Tensor self, Tensor[] bins, *, Tensor? weight=None, bool density=False) -> Tensor |
| 10706 | inline at::Tensor _histogramdd_from_bin_tensors(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList bins, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10707 | return at::_ops::_histogramdd_from_bin_tensors::redispatch(dispatchKeySet, self, bins, weight, density); |
| 10708 | } |
| 10709 | |
| 10710 | // aten::histogramdd(Tensor self, int[] bins, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor[] bin_edges) |
| 10711 | inline ::std::tuple<at::Tensor,::std::vector<at::Tensor>> histogramdd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10712 | return at::_ops::histogramdd::redispatch(dispatchKeySet, self, bins, range, weight, density); |
| 10713 | } |
| 10714 | |
| 10715 | // aten::histogramdd.int_bins(Tensor self, int bins, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor[] bin_edges) |
| 10716 | inline ::std::tuple<at::Tensor,::std::vector<at::Tensor>> histogramdd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10717 | return at::_ops::histogramdd_int_bins::redispatch(dispatchKeySet, self, bins, range, weight, density); |
| 10718 | } |
| 10719 | |
| 10720 | // aten::histogramdd.TensorList_bins(Tensor self, Tensor[] bins, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor[] bin_edges) |
| 10721 | inline ::std::tuple<at::Tensor,::std::vector<at::Tensor>> histogramdd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 10722 | return at::_ops::histogramdd_TensorList_bins::redispatch(dispatchKeySet, self, bins, range, weight, density); |
| 10723 | } |
| 10724 | |
| 10725 | // aten::fmod.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 10726 | inline at::Tensor & fmod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 10727 | return at::_ops::fmod_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 10728 | } |
| 10729 | |
| 10730 | // aten::fmod.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 10731 | inline at::Tensor & fmod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 10732 | return at::_ops::fmod_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 10733 | } |
| 10734 | |
| 10735 | // aten::fmod.Scalar(Tensor self, Scalar other) -> Tensor |
| 10736 | inline at::Tensor fmod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 10737 | return at::_ops::fmod_Scalar::redispatch(dispatchKeySet, self, other); |
| 10738 | } |
| 10739 | |
| 10740 | // aten::fmod_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 10741 | inline at::Tensor & fmod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 10742 | return at::_ops::fmod__Scalar::redispatch(dispatchKeySet, self, other); |
| 10743 | } |
| 10744 | |
| 10745 | // aten::fmod.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10746 | inline at::Tensor & fmod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10747 | return at::_ops::fmod_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 10748 | } |
| 10749 | |
| 10750 | // aten::fmod.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10751 | inline at::Tensor & fmod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10752 | return at::_ops::fmod_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 10753 | } |
| 10754 | |
| 10755 | // aten::fmod.Tensor(Tensor self, Tensor other) -> Tensor |
| 10756 | inline at::Tensor fmod(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10757 | return at::_ops::fmod_Tensor::redispatch(dispatchKeySet, self, other); |
| 10758 | } |
| 10759 | |
| 10760 | // aten::fmod_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10761 | inline at::Tensor & fmod_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10762 | return at::_ops::fmod__Tensor::redispatch(dispatchKeySet, self, other); |
| 10763 | } |
| 10764 | |
| 10765 | // aten::hypot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10766 | inline at::Tensor & hypot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10767 | return at::_ops::hypot_out::redispatch(dispatchKeySet, self, other, out); |
| 10768 | } |
| 10769 | |
| 10770 | // aten::hypot.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10771 | inline at::Tensor & hypot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10772 | return at::_ops::hypot_out::redispatch(dispatchKeySet, self, other, out); |
| 10773 | } |
| 10774 | |
| 10775 | // aten::hypot(Tensor self, Tensor other) -> Tensor |
| 10776 | inline at::Tensor hypot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10777 | return at::_ops::hypot::redispatch(dispatchKeySet, self, other); |
| 10778 | } |
| 10779 | |
| 10780 | // aten::hypot_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10781 | inline at::Tensor & hypot_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10782 | return at::_ops::hypot_::redispatch(dispatchKeySet, self, other); |
| 10783 | } |
| 10784 | |
| 10785 | // aten::igamma.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10786 | inline at::Tensor & igamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10787 | return at::_ops::igamma_out::redispatch(dispatchKeySet, self, other, out); |
| 10788 | } |
| 10789 | |
| 10790 | // aten::igamma.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10791 | inline at::Tensor & igamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10792 | return at::_ops::igamma_out::redispatch(dispatchKeySet, self, other, out); |
| 10793 | } |
| 10794 | |
| 10795 | // aten::igamma(Tensor self, Tensor other) -> Tensor |
| 10796 | inline at::Tensor igamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10797 | return at::_ops::igamma::redispatch(dispatchKeySet, self, other); |
| 10798 | } |
| 10799 | |
| 10800 | // aten::igamma_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10801 | inline at::Tensor & igamma_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10802 | return at::_ops::igamma_::redispatch(dispatchKeySet, self, other); |
| 10803 | } |
| 10804 | |
| 10805 | // aten::igammac.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10806 | inline at::Tensor & igammac_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10807 | return at::_ops::igammac_out::redispatch(dispatchKeySet, self, other, out); |
| 10808 | } |
| 10809 | |
| 10810 | // aten::igammac.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10811 | inline at::Tensor & igammac_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10812 | return at::_ops::igammac_out::redispatch(dispatchKeySet, self, other, out); |
| 10813 | } |
| 10814 | |
| 10815 | // aten::igammac(Tensor self, Tensor other) -> Tensor |
| 10816 | inline at::Tensor igammac(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10817 | return at::_ops::igammac::redispatch(dispatchKeySet, self, other); |
| 10818 | } |
| 10819 | |
| 10820 | // aten::igammac_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10821 | inline at::Tensor & igammac_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10822 | return at::_ops::igammac_::redispatch(dispatchKeySet, self, other); |
| 10823 | } |
| 10824 | |
| 10825 | // aten::nextafter.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10826 | inline at::Tensor & nextafter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10827 | return at::_ops::nextafter_out::redispatch(dispatchKeySet, self, other, out); |
| 10828 | } |
| 10829 | |
| 10830 | // aten::nextafter.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10831 | inline at::Tensor & nextafter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10832 | return at::_ops::nextafter_out::redispatch(dispatchKeySet, self, other, out); |
| 10833 | } |
| 10834 | |
| 10835 | // aten::nextafter(Tensor self, Tensor other) -> Tensor |
| 10836 | inline at::Tensor nextafter(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10837 | return at::_ops::nextafter::redispatch(dispatchKeySet, self, other); |
| 10838 | } |
| 10839 | |
| 10840 | // aten::nextafter_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10841 | inline at::Tensor & nextafter_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10842 | return at::_ops::nextafter_::redispatch(dispatchKeySet, self, other); |
| 10843 | } |
| 10844 | |
| 10845 | // aten::remainder.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 10846 | inline at::Tensor & remainder_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 10847 | return at::_ops::remainder_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 10848 | } |
| 10849 | |
| 10850 | // aten::remainder.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 10851 | inline at::Tensor & remainder_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 10852 | return at::_ops::remainder_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 10853 | } |
| 10854 | |
| 10855 | // aten::remainder.Scalar(Tensor self, Scalar other) -> Tensor |
| 10856 | inline at::Tensor remainder(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 10857 | return at::_ops::remainder_Scalar::redispatch(dispatchKeySet, self, other); |
| 10858 | } |
| 10859 | |
| 10860 | // aten::remainder_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 10861 | inline at::Tensor & remainder_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & other) { |
| 10862 | return at::_ops::remainder__Scalar::redispatch(dispatchKeySet, self, other); |
| 10863 | } |
| 10864 | |
| 10865 | // aten::remainder.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10866 | inline at::Tensor & remainder_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10867 | return at::_ops::remainder_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 10868 | } |
| 10869 | |
| 10870 | // aten::remainder.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10871 | inline at::Tensor & remainder_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10872 | return at::_ops::remainder_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 10873 | } |
| 10874 | |
| 10875 | // aten::remainder.Tensor(Tensor self, Tensor other) -> Tensor |
| 10876 | inline at::Tensor remainder(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10877 | return at::_ops::remainder_Tensor::redispatch(dispatchKeySet, self, other); |
| 10878 | } |
| 10879 | |
| 10880 | // aten::remainder_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 10881 | inline at::Tensor & remainder_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & other) { |
| 10882 | return at::_ops::remainder__Tensor::redispatch(dispatchKeySet, self, other); |
| 10883 | } |
| 10884 | |
| 10885 | // aten::remainder.Scalar_Tensor(Scalar self, Tensor other) -> Tensor |
| 10886 | inline at::Tensor remainder(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 10887 | return at::_ops::remainder_Scalar_Tensor::redispatch(dispatchKeySet, self, other); |
| 10888 | } |
| 10889 | |
| 10890 | // aten::min(Tensor self) -> Tensor |
| 10891 | inline at::Tensor min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10892 | return at::_ops::min::redispatch(dispatchKeySet, self); |
| 10893 | } |
| 10894 | |
| 10895 | // aten::fmin(Tensor self, Tensor other) -> Tensor |
| 10896 | inline at::Tensor fmin(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10897 | return at::_ops::fmin::redispatch(dispatchKeySet, self, other); |
| 10898 | } |
| 10899 | |
| 10900 | // aten::fmin.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10901 | inline at::Tensor & fmin_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10902 | return at::_ops::fmin_out::redispatch(dispatchKeySet, self, other, out); |
| 10903 | } |
| 10904 | |
| 10905 | // aten::fmin.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10906 | inline at::Tensor & fmin_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10907 | return at::_ops::fmin_out::redispatch(dispatchKeySet, self, other, out); |
| 10908 | } |
| 10909 | |
| 10910 | // aten::max(Tensor self) -> Tensor |
| 10911 | inline at::Tensor max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 10912 | return at::_ops::max::redispatch(dispatchKeySet, self); |
| 10913 | } |
| 10914 | |
| 10915 | // aten::fmax(Tensor self, Tensor other) -> Tensor |
| 10916 | inline at::Tensor fmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10917 | return at::_ops::fmax::redispatch(dispatchKeySet, self, other); |
| 10918 | } |
| 10919 | |
| 10920 | // aten::fmax.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10921 | inline at::Tensor & fmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10922 | return at::_ops::fmax_out::redispatch(dispatchKeySet, self, other, out); |
| 10923 | } |
| 10924 | |
| 10925 | // aten::fmax.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10926 | inline at::Tensor & fmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10927 | return at::_ops::fmax_out::redispatch(dispatchKeySet, self, other, out); |
| 10928 | } |
| 10929 | |
| 10930 | // aten::maximum(Tensor self, Tensor other) -> Tensor |
| 10931 | inline at::Tensor maximum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10932 | return at::_ops::maximum::redispatch(dispatchKeySet, self, other); |
| 10933 | } |
| 10934 | |
| 10935 | // aten::maximum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10936 | inline at::Tensor & maximum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10937 | return at::_ops::maximum_out::redispatch(dispatchKeySet, self, other, out); |
| 10938 | } |
| 10939 | |
| 10940 | // aten::maximum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10941 | inline at::Tensor & maximum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10942 | return at::_ops::maximum_out::redispatch(dispatchKeySet, self, other, out); |
| 10943 | } |
| 10944 | |
| 10945 | // aten::max.other(Tensor self, Tensor other) -> Tensor |
| 10946 | inline at::Tensor max(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10947 | return at::_ops::max_other::redispatch(dispatchKeySet, self, other); |
| 10948 | } |
| 10949 | |
| 10950 | // aten::max.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10951 | inline at::Tensor & max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10952 | return at::_ops::max_out::redispatch(dispatchKeySet, self, other, out); |
| 10953 | } |
| 10954 | |
| 10955 | // aten::max.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10956 | inline at::Tensor & max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10957 | return at::_ops::max_out::redispatch(dispatchKeySet, self, other, out); |
| 10958 | } |
| 10959 | |
| 10960 | // aten::max.unary_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10961 | inline at::Tensor & max_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 10962 | return at::_ops::max_unary_out::redispatch(dispatchKeySet, self, out); |
| 10963 | } |
| 10964 | |
| 10965 | // aten::max.unary_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 10966 | inline at::Tensor & max_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 10967 | return at::_ops::max_unary_out::redispatch(dispatchKeySet, self, out); |
| 10968 | } |
| 10969 | |
| 10970 | // aten::minimum(Tensor self, Tensor other) -> Tensor |
| 10971 | inline at::Tensor minimum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10972 | return at::_ops::minimum::redispatch(dispatchKeySet, self, other); |
| 10973 | } |
| 10974 | |
| 10975 | // aten::minimum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10976 | inline at::Tensor & minimum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10977 | return at::_ops::minimum_out::redispatch(dispatchKeySet, self, other, out); |
| 10978 | } |
| 10979 | |
| 10980 | // aten::minimum.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10981 | inline at::Tensor & minimum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10982 | return at::_ops::minimum_out::redispatch(dispatchKeySet, self, other, out); |
| 10983 | } |
| 10984 | |
| 10985 | // aten::min.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10986 | inline at::Tensor & min_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10987 | return at::_ops::min_out::redispatch(dispatchKeySet, self, other, out); |
| 10988 | } |
| 10989 | |
| 10990 | // aten::min.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 10991 | inline at::Tensor & min_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10992 | return at::_ops::min_out::redispatch(dispatchKeySet, self, other, out); |
| 10993 | } |
| 10994 | |
| 10995 | // aten::min.other(Tensor self, Tensor other) -> Tensor |
| 10996 | inline at::Tensor min(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 10997 | return at::_ops::min_other::redispatch(dispatchKeySet, self, other); |
| 10998 | } |
| 10999 | |
| 11000 | // aten::quantile(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 11001 | inline at::Tensor quantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11002 | return at::_ops::quantile::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation); |
| 11003 | } |
| 11004 | |
| 11005 | // aten::quantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11006 | inline at::Tensor & quantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11007 | return at::_ops::quantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11008 | } |
| 11009 | |
| 11010 | // aten::quantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11011 | inline at::Tensor & quantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11012 | return at::_ops::quantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11013 | } |
| 11014 | |
| 11015 | // aten::quantile.scalar(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 11016 | inline at::Tensor quantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11017 | return at::_ops::quantile_scalar::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation); |
| 11018 | } |
| 11019 | |
| 11020 | // aten::quantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11021 | inline at::Tensor & quantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11022 | return at::_ops::quantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11023 | } |
| 11024 | |
| 11025 | // aten::quantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11026 | inline at::Tensor & quantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11027 | return at::_ops::quantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11028 | } |
| 11029 | |
| 11030 | // aten::nanquantile(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 11031 | inline at::Tensor nanquantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11032 | return at::_ops::nanquantile::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation); |
| 11033 | } |
| 11034 | |
| 11035 | // aten::nanquantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11036 | inline at::Tensor & nanquantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11037 | return at::_ops::nanquantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11038 | } |
| 11039 | |
| 11040 | // aten::nanquantile.out(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11041 | inline at::Tensor & nanquantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11042 | return at::_ops::nanquantile_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11043 | } |
| 11044 | |
| 11045 | // aten::nanquantile.scalar(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 11046 | inline at::Tensor nanquantile(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11047 | return at::_ops::nanquantile_scalar::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation); |
| 11048 | } |
| 11049 | |
| 11050 | // aten::nanquantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11051 | inline at::Tensor & nanquantile_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") { |
| 11052 | return at::_ops::nanquantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11053 | } |
| 11054 | |
| 11055 | // aten::nanquantile.scalar_out(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear', Tensor(a!) out) -> Tensor(a!) |
| 11056 | inline at::Tensor & nanquantile_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11057 | return at::_ops::nanquantile_scalar_out::redispatch(dispatchKeySet, self, q, dim, keepdim, interpolation, out); |
| 11058 | } |
| 11059 | |
| 11060 | // aten::sort.values(Tensor self, int dim=-1, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11061 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t dim=-1, bool descending=false) { |
| 11062 | return at::_ops::sort_values::redispatch(dispatchKeySet, self, dim, descending, values, indices); |
| 11063 | } |
| 11064 | |
| 11065 | // aten::sort.values(Tensor self, int dim=-1, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11066 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 11067 | return at::_ops::sort_values::redispatch(dispatchKeySet, self, dim, descending, values, indices); |
| 11068 | } |
| 11069 | |
| 11070 | // aten::sort.values_stable(Tensor self, *, bool? stable, int dim=-1, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11071 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, c10::optional<bool> stable, int64_t dim=-1, bool descending=false) { |
| 11072 | return at::_ops::sort_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices); |
| 11073 | } |
| 11074 | |
| 11075 | // aten::sort.values_stable(Tensor self, *, bool? stable, int dim=-1, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11076 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, int64_t dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 11077 | return at::_ops::sort_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices); |
| 11078 | } |
| 11079 | |
| 11080 | // aten::sort(Tensor self, int dim=-1, bool descending=False) -> (Tensor values, Tensor indices) |
| 11081 | inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1, bool descending=false) { |
| 11082 | return at::_ops::sort::redispatch(dispatchKeySet, self, dim, descending); |
| 11083 | } |
| 11084 | |
| 11085 | // aten::sort.stable(Tensor self, *, bool? stable, int dim=-1, bool descending=False) -> (Tensor values, Tensor indices) |
| 11086 | inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, int64_t dim=-1, bool descending=false) { |
| 11087 | return at::_ops::sort_stable::redispatch(dispatchKeySet, self, stable, dim, descending); |
| 11088 | } |
| 11089 | |
| 11090 | // aten::sort.dimname_values(Tensor self, Dimname dim, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11091 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool descending=false) { |
| 11092 | return at::_ops::sort_dimname_values::redispatch(dispatchKeySet, self, dim, descending, values, indices); |
| 11093 | } |
| 11094 | |
| 11095 | // aten::sort.dimname_values(Tensor self, Dimname dim, bool descending=False, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11096 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 11097 | return at::_ops::sort_dimname_values::redispatch(dispatchKeySet, self, dim, descending, values, indices); |
| 11098 | } |
| 11099 | |
| 11100 | // aten::sort.dimname_values_stable(Tensor self, *, bool? stable, Dimname dim, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11101 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending=false) { |
| 11102 | return at::_ops::sort_dimname_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices); |
| 11103 | } |
| 11104 | |
| 11105 | // aten::sort.dimname_values_stable(Tensor self, *, bool? stable, Dimname dim, bool descending=False, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11106 | inline ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 11107 | return at::_ops::sort_dimname_values_stable::redispatch(dispatchKeySet, self, stable, dim, descending, values, indices); |
| 11108 | } |
| 11109 | |
| 11110 | // aten::sort.dimname(Tensor self, Dimname dim, bool descending=False) -> (Tensor values, Tensor indices) |
| 11111 | inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool descending=false) { |
| 11112 | return at::_ops::sort_dimname::redispatch(dispatchKeySet, self, dim, descending); |
| 11113 | } |
| 11114 | |
| 11115 | // aten::sort.dimname_stable(Tensor self, *, bool? stable, Dimname dim, bool descending=False) -> (Tensor values, Tensor indices) |
| 11116 | inline ::std::tuple<at::Tensor,at::Tensor> sort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending=false) { |
| 11117 | return at::_ops::sort_dimname_stable::redispatch(dispatchKeySet, self, stable, dim, descending); |
| 11118 | } |
| 11119 | |
| 11120 | // aten::msort.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 11121 | inline at::Tensor & msort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 11122 | return at::_ops::msort_out::redispatch(dispatchKeySet, self, out); |
| 11123 | } |
| 11124 | |
| 11125 | // aten::msort.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 11126 | inline at::Tensor & msort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 11127 | return at::_ops::msort_out::redispatch(dispatchKeySet, self, out); |
| 11128 | } |
| 11129 | |
| 11130 | // aten::msort(Tensor self) -> Tensor |
| 11131 | inline at::Tensor msort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 11132 | return at::_ops::msort::redispatch(dispatchKeySet, self); |
| 11133 | } |
| 11134 | |
| 11135 | // aten::argsort(Tensor self, int dim=-1, bool descending=False) -> Tensor |
| 11136 | inline at::Tensor argsort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1, bool descending=false) { |
| 11137 | return at::_ops::argsort::redispatch(dispatchKeySet, self, dim, descending); |
| 11138 | } |
| 11139 | |
| 11140 | // aten::argsort.stable(Tensor self, *, bool stable, int dim=-1, bool descending=False) -> Tensor |
| 11141 | inline at::Tensor argsort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool stable, int64_t dim=-1, bool descending=false) { |
| 11142 | return at::_ops::argsort_stable::redispatch(dispatchKeySet, self, stable, dim, descending); |
| 11143 | } |
| 11144 | |
| 11145 | // aten::argsort.dimname(Tensor self, Dimname dim, bool descending=False) -> Tensor |
| 11146 | inline at::Tensor argsort(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, bool descending=false) { |
| 11147 | return at::_ops::argsort_dimname::redispatch(dispatchKeySet, self, dim, descending); |
| 11148 | } |
| 11149 | |
| 11150 | // aten::topk.values(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11151 | inline ::std::tuple<at::Tensor &,at::Tensor &> topk_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) { |
| 11152 | return at::_ops::topk_values::redispatch(dispatchKeySet, self, k, dim, largest, sorted, values, indices); |
| 11153 | } |
| 11154 | |
| 11155 | // aten::topk.values(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True, *, Tensor(a!) values, Tensor(b!) indices) -> (Tensor(a!) values, Tensor(b!) indices) |
| 11156 | inline ::std::tuple<at::Tensor &,at::Tensor &> topk_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim, bool largest, bool sorted, at::Tensor & values, at::Tensor & indices) { |
| 11157 | return at::_ops::topk_values::redispatch(dispatchKeySet, self, k, dim, largest, sorted, values, indices); |
| 11158 | } |
| 11159 | |
| 11160 | // aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices) |
| 11161 | inline ::std::tuple<at::Tensor,at::Tensor> topk(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) { |
| 11162 | return at::_ops::topk::redispatch(dispatchKeySet, self, k, dim, largest, sorted); |
| 11163 | } |
| 11164 | |
| 11165 | // aten::all(Tensor self) -> Tensor |
| 11166 | inline at::Tensor all(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 11167 | return at::_ops::all::redispatch(dispatchKeySet, self); |
| 11168 | } |
| 11169 | |
| 11170 | // aten::all.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 11171 | inline at::Tensor & all_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 11172 | return at::_ops::all_all_out::redispatch(dispatchKeySet, self, out); |
| 11173 | } |
| 11174 | |
| 11175 | // aten::all.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 11176 | inline at::Tensor & all_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 11177 | return at::_ops::all_all_out::redispatch(dispatchKeySet, self, out); |
| 11178 | } |
| 11179 | |
| 11180 | // aten::any(Tensor self) -> Tensor |
| 11181 | inline at::Tensor any(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 11182 | return at::_ops::any::redispatch(dispatchKeySet, self); |
| 11183 | } |
| 11184 | |
| 11185 | // aten::any.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 11186 | inline at::Tensor & any_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 11187 | return at::_ops::any_all_out::redispatch(dispatchKeySet, self, out); |
| 11188 | } |
| 11189 | |
| 11190 | // aten::any.all_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 11191 | inline at::Tensor & any_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 11192 | return at::_ops::any_all_out::redispatch(dispatchKeySet, self, out); |
| 11193 | } |
| 11194 | |
| 11195 | // aten::renorm.out(Tensor self, Scalar p, int dim, Scalar maxnorm, *, Tensor(a!) out) -> Tensor(a!) |
| 11196 | inline at::Tensor & renorm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) { |
| 11197 | return at::_ops::renorm_out::redispatch(dispatchKeySet, self, p, dim, maxnorm, out); |
| 11198 | } |
| 11199 | |
| 11200 | // aten::renorm.out(Tensor self, Scalar p, int dim, Scalar maxnorm, *, Tensor(a!) out) -> Tensor(a!) |
| 11201 | inline at::Tensor & renorm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm, at::Tensor & out) { |
| 11202 | return at::_ops::renorm_out::redispatch(dispatchKeySet, self, p, dim, maxnorm, out); |
| 11203 | } |
| 11204 | |
| 11205 | // aten::renorm(Tensor self, Scalar p, int dim, Scalar maxnorm) -> Tensor |
| 11206 | inline at::Tensor renorm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) { |
| 11207 | return at::_ops::renorm::redispatch(dispatchKeySet, self, p, dim, maxnorm); |
| 11208 | } |
| 11209 | |
| 11210 | // aten::renorm_(Tensor(a!) self, Scalar p, int dim, Scalar maxnorm) -> Tensor(a!) |
| 11211 | inline at::Tensor & renorm_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) { |
| 11212 | return at::_ops::renorm_::redispatch(dispatchKeySet, self, p, dim, maxnorm); |
| 11213 | } |
| 11214 | |
| 11215 | // aten::unfold(Tensor(a) self, int dimension, int size, int step) -> Tensor(a) |
| 11216 | inline at::Tensor unfold(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dimension, int64_t size, int64_t step) { |
| 11217 | return at::_ops::unfold::redispatch(dispatchKeySet, self, dimension, size, step); |
| 11218 | } |
| 11219 | |
| 11220 | // aten::unfold_backward(Tensor grad_in, SymInt[] input_sizes, int dim, int size, int step) -> Tensor |
| 11221 | inline at::Tensor unfold_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_in, at::IntArrayRef input_sizes, int64_t dim, int64_t size, int64_t step) { |
| 11222 | return at::_ops::unfold_backward::redispatch(dispatchKeySet, grad_in, c10::fromIntArrayRefSlow(input_sizes), dim, size, step); |
| 11223 | } |
| 11224 | |
| 11225 | // aten::unfold_backward(Tensor grad_in, SymInt[] input_sizes, int dim, int size, int step) -> Tensor |
| 11226 | inline at::Tensor unfold_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_in, c10::SymIntArrayRef input_sizes, int64_t dim, int64_t size, int64_t step) { |
| 11227 | return at::_ops::unfold_backward::redispatch(dispatchKeySet, grad_in, input_sizes, dim, size, step); |
| 11228 | } |
| 11229 | |
| 11230 | // aten::equal(Tensor self, Tensor other) -> bool |
| 11231 | inline bool equal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 11232 | return at::_ops::equal::redispatch(dispatchKeySet, self, other); |
| 11233 | } |
| 11234 | |
| 11235 | // aten::pow.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11236 | inline at::Tensor & pow_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent) { |
| 11237 | return at::_ops::pow_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11238 | } |
| 11239 | |
| 11240 | // aten::pow.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11241 | inline at::Tensor & pow_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out) { |
| 11242 | return at::_ops::pow_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11243 | } |
| 11244 | |
| 11245 | // aten::pow.Tensor_Tensor(Tensor self, Tensor exponent) -> Tensor |
| 11246 | inline at::Tensor pow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent) { |
| 11247 | return at::_ops::pow_Tensor_Tensor::redispatch(dispatchKeySet, self, exponent); |
| 11248 | } |
| 11249 | |
| 11250 | // aten::pow.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11251 | inline at::Tensor & pow_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent) { |
| 11252 | return at::_ops::pow_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11253 | } |
| 11254 | |
| 11255 | // aten::pow.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11256 | inline at::Tensor & pow_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out) { |
| 11257 | return at::_ops::pow_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11258 | } |
| 11259 | |
| 11260 | // aten::pow.Scalar(Scalar self, Tensor exponent) -> Tensor |
| 11261 | inline at::Tensor pow(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent) { |
| 11262 | return at::_ops::pow_Scalar::redispatch(dispatchKeySet, self, exponent); |
| 11263 | } |
| 11264 | |
| 11265 | // aten::pow.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11266 | inline at::Tensor & pow_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent) { |
| 11267 | return at::_ops::pow_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11268 | } |
| 11269 | |
| 11270 | // aten::pow.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11271 | inline at::Tensor & pow_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out) { |
| 11272 | return at::_ops::pow_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11273 | } |
| 11274 | |
| 11275 | // aten::pow.Tensor_Scalar(Tensor self, Scalar exponent) -> Tensor |
| 11276 | inline at::Tensor pow(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent) { |
| 11277 | return at::_ops::pow_Tensor_Scalar::redispatch(dispatchKeySet, self, exponent); |
| 11278 | } |
| 11279 | |
| 11280 | // aten::pow_.Scalar(Tensor(a!) self, Scalar exponent) -> Tensor(a!) |
| 11281 | inline at::Tensor & pow_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & exponent) { |
| 11282 | return at::_ops::pow__Scalar::redispatch(dispatchKeySet, self, exponent); |
| 11283 | } |
| 11284 | |
| 11285 | // aten::pow_.Tensor(Tensor(a!) self, Tensor exponent) -> Tensor(a!) |
| 11286 | inline at::Tensor & pow_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & exponent) { |
| 11287 | return at::_ops::pow__Tensor::redispatch(dispatchKeySet, self, exponent); |
| 11288 | } |
| 11289 | |
| 11290 | // aten::float_power.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11291 | inline at::Tensor & float_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent) { |
| 11292 | return at::_ops::float_power_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11293 | } |
| 11294 | |
| 11295 | // aten::float_power.Tensor_Tensor_out(Tensor self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11296 | inline at::Tensor & float_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out) { |
| 11297 | return at::_ops::float_power_Tensor_Tensor_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11298 | } |
| 11299 | |
| 11300 | // aten::float_power.Tensor_Tensor(Tensor self, Tensor exponent) -> Tensor |
| 11301 | inline at::Tensor float_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & exponent) { |
| 11302 | return at::_ops::float_power_Tensor_Tensor::redispatch(dispatchKeySet, self, exponent); |
| 11303 | } |
| 11304 | |
| 11305 | // aten::float_power.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11306 | inline at::Tensor & float_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent) { |
| 11307 | return at::_ops::float_power_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11308 | } |
| 11309 | |
| 11310 | // aten::float_power.Scalar_out(Scalar self, Tensor exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11311 | inline at::Tensor & float_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out) { |
| 11312 | return at::_ops::float_power_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11313 | } |
| 11314 | |
| 11315 | // aten::float_power.Scalar(Scalar self, Tensor exponent) -> Tensor |
| 11316 | inline at::Tensor float_power(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & exponent) { |
| 11317 | return at::_ops::float_power_Scalar::redispatch(dispatchKeySet, self, exponent); |
| 11318 | } |
| 11319 | |
| 11320 | // aten::float_power.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11321 | inline at::Tensor & float_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent) { |
| 11322 | return at::_ops::float_power_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11323 | } |
| 11324 | |
| 11325 | // aten::float_power.Tensor_Scalar_out(Tensor self, Scalar exponent, *, Tensor(a!) out) -> Tensor(a!) |
| 11326 | inline at::Tensor & float_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out) { |
| 11327 | return at::_ops::float_power_Tensor_Scalar_out::redispatch(dispatchKeySet, self, exponent, out); |
| 11328 | } |
| 11329 | |
| 11330 | // aten::float_power.Tensor_Scalar(Tensor self, Scalar exponent) -> Tensor |
| 11331 | inline at::Tensor float_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & exponent) { |
| 11332 | return at::_ops::float_power_Tensor_Scalar::redispatch(dispatchKeySet, self, exponent); |
| 11333 | } |
| 11334 | |
| 11335 | // aten::float_power_.Scalar(Tensor(a!) self, Scalar exponent) -> Tensor(a!) |
| 11336 | inline at::Tensor & float_power_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & exponent) { |
| 11337 | return at::_ops::float_power__Scalar::redispatch(dispatchKeySet, self, exponent); |
| 11338 | } |
| 11339 | |
| 11340 | // aten::float_power_.Tensor(Tensor(a!) self, Tensor exponent) -> Tensor(a!) |
| 11341 | inline at::Tensor & float_power_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & exponent) { |
| 11342 | return at::_ops::float_power__Tensor::redispatch(dispatchKeySet, self, exponent); |
| 11343 | } |
| 11344 | |
| 11345 | // aten::normal_(Tensor(a!) self, float mean=0, float std=1, *, Generator? generator=None) -> Tensor(a!) |
| 11346 | inline at::Tensor & normal_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, double mean=0, double std=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11347 | return at::_ops::normal_::redispatch(dispatchKeySet, self, mean, std, generator); |
| 11348 | } |
| 11349 | |
| 11350 | // aten::normal_functional(Tensor self, float mean=0, float std=1, *, Generator? generator=None) -> Tensor |
| 11351 | inline at::Tensor normal_functional(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double mean=0, double std=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11352 | return at::_ops::normal_functional::redispatch(dispatchKeySet, self, mean, std, generator); |
| 11353 | } |
| 11354 | |
| 11355 | // aten::normal.Tensor_float_out(Tensor mean, float std=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11356 | inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & mean, double std=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11357 | return at::_ops::normal_Tensor_float_out::redispatch(dispatchKeySet, mean, std, generator, out); |
| 11358 | } |
| 11359 | |
| 11360 | // aten::normal.Tensor_float_out(Tensor mean, float std=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11361 | inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, double std, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 11362 | return at::_ops::normal_Tensor_float_out::redispatch(dispatchKeySet, mean, std, generator, out); |
| 11363 | } |
| 11364 | |
| 11365 | // aten::normal.Tensor_float(Tensor mean, float std=1, *, Generator? generator=None) -> Tensor |
| 11366 | inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, double std=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11367 | return at::_ops::normal_Tensor_float::redispatch(dispatchKeySet, mean, std, generator); |
| 11368 | } |
| 11369 | |
| 11370 | // aten::normal.float_Tensor_out(float mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11371 | inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, double mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11372 | return at::_ops::normal_float_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out); |
| 11373 | } |
| 11374 | |
| 11375 | // aten::normal.float_Tensor_out(float mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11376 | inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, double mean, const at::Tensor & std, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 11377 | return at::_ops::normal_float_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out); |
| 11378 | } |
| 11379 | |
| 11380 | // aten::normal.float_Tensor(float mean, Tensor std, *, Generator? generator=None) -> Tensor |
| 11381 | inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, double mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11382 | return at::_ops::normal_float_Tensor::redispatch(dispatchKeySet, mean, std, generator); |
| 11383 | } |
| 11384 | |
| 11385 | // aten::normal.Tensor_Tensor_out(Tensor mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11386 | inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11387 | return at::_ops::normal_Tensor_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out); |
| 11388 | } |
| 11389 | |
| 11390 | // aten::normal.Tensor_Tensor_out(Tensor mean, Tensor std, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11391 | inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, const at::Tensor & std, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 11392 | return at::_ops::normal_Tensor_Tensor_out::redispatch(dispatchKeySet, mean, std, generator, out); |
| 11393 | } |
| 11394 | |
| 11395 | // aten::normal.Tensor_Tensor(Tensor mean, Tensor std, *, Generator? generator=None) -> Tensor |
| 11396 | inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & mean, const at::Tensor & std, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11397 | return at::_ops::normal_Tensor_Tensor::redispatch(dispatchKeySet, mean, std, generator); |
| 11398 | } |
| 11399 | |
| 11400 | // aten::normal.float_float(float mean, float std, SymInt[] size, *, Generator? generator=None, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 11401 | inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator=c10::nullopt, at::TensorOptions options={}) { |
| 11402 | return at::_ops::normal_float_float::redispatch(dispatchKeySet, mean, std, c10::fromIntArrayRefSlow(size), generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 11403 | } |
| 11404 | |
| 11405 | // aten::normal.float_float(float mean, float std, SymInt[] size, *, Generator? generator=None, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 11406 | inline at::Tensor normal(c10::DispatchKeySet dispatchKeySet, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 11407 | return at::_ops::normal_float_float::redispatch(dispatchKeySet, mean, std, c10::fromIntArrayRefSlow(size), generator, dtype, layout, device, pin_memory); |
| 11408 | } |
| 11409 | |
| 11410 | // aten::normal.float_float(float mean, float std, SymInt[] size, *, Generator? generator=None, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 11411 | inline at::Tensor normal_symint(c10::DispatchKeySet dispatchKeySet, double mean, double std, c10::SymIntArrayRef size, c10::optional<at::Generator> generator=c10::nullopt, at::TensorOptions options={}) { |
| 11412 | return at::_ops::normal_float_float::redispatch(dispatchKeySet, mean, std, size, generator, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 11413 | } |
| 11414 | |
| 11415 | // aten::normal.float_float(float mean, float std, SymInt[] size, *, Generator? generator=None, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 11416 | inline at::Tensor normal_symint(c10::DispatchKeySet dispatchKeySet, double mean, double std, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 11417 | return at::_ops::normal_float_float::redispatch(dispatchKeySet, mean, std, size, generator, dtype, layout, device, pin_memory); |
| 11418 | } |
| 11419 | |
| 11420 | // aten::normal.float_float_out(float mean, float std, SymInt[] size, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11421 | inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11422 | return at::_ops::normal_float_float_out::redispatch(dispatchKeySet, mean, std, c10::fromIntArrayRefSlow(size), generator, out); |
| 11423 | } |
| 11424 | |
| 11425 | // aten::normal.float_float_out(float mean, float std, SymInt[] size, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11426 | inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, double mean, double std, at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 11427 | return at::_ops::normal_float_float_out::redispatch(dispatchKeySet, mean, std, c10::fromIntArrayRefSlow(size), generator, out); |
| 11428 | } |
| 11429 | |
| 11430 | // aten::normal.float_float_out(float mean, float std, SymInt[] size, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11431 | inline at::Tensor & normal_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, double mean, double std, c10::SymIntArrayRef size, c10::optional<at::Generator> generator=c10::nullopt) { |
| 11432 | return at::_ops::normal_float_float_out::redispatch(dispatchKeySet, mean, std, size, generator, out); |
| 11433 | } |
| 11434 | |
| 11435 | // aten::normal.float_float_out(float mean, float std, SymInt[] size, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 11436 | inline at::Tensor & normal_symint_outf(c10::DispatchKeySet dispatchKeySet, double mean, double std, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 11437 | return at::_ops::normal_float_float_out::redispatch(dispatchKeySet, mean, std, size, generator, out); |
| 11438 | } |
| 11439 | |
| 11440 | // aten::alias(Tensor(a) self) -> Tensor(a) |
| 11441 | inline at::Tensor alias(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 11442 | return at::_ops::alias::redispatch(dispatchKeySet, self); |
| 11443 | } |
| 11444 | |
| 11445 | // aten::_amp_foreach_non_finite_check_and_unscale_(Tensor(a!)[] self, Tensor(b!) found_inf, Tensor inv_scale) -> () |
| 11446 | inline void _amp_foreach_non_finite_check_and_unscale_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::Tensor & found_inf, const at::Tensor & inv_scale) { |
| 11447 | return at::_ops::_amp_foreach_non_finite_check_and_unscale_::redispatch(dispatchKeySet, self, found_inf, inv_scale); |
| 11448 | } |
| 11449 | |
| 11450 | // aten::_amp_update_scale_(Tensor(a!) self, Tensor(b!) growth_tracker, Tensor found_inf, float scale_growth_factor, float scale_backoff_factor, int growth_interval) -> Tensor(a!) |
| 11451 | inline at::Tensor & _amp_update_scale_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Tensor & growth_tracker, const at::Tensor & found_inf, double scale_growth_factor, double scale_backoff_factor, int64_t growth_interval) { |
| 11452 | return at::_ops::_amp_update_scale_::redispatch(dispatchKeySet, self, growth_tracker, found_inf, scale_growth_factor, scale_backoff_factor, growth_interval); |
| 11453 | } |
| 11454 | |
| 11455 | // aten::_foreach_add.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11456 | inline ::std::vector<at::Tensor> _foreach_add(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11457 | return at::_ops::_foreach_add_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11458 | } |
| 11459 | |
| 11460 | // aten::_foreach_add_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11461 | inline void _foreach_add_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11462 | return at::_ops::_foreach_add__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11463 | } |
| 11464 | |
| 11465 | // aten::_foreach_sub.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11466 | inline ::std::vector<at::Tensor> _foreach_sub(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11467 | return at::_ops::_foreach_sub_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11468 | } |
| 11469 | |
| 11470 | // aten::_foreach_sub_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11471 | inline void _foreach_sub_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11472 | return at::_ops::_foreach_sub__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11473 | } |
| 11474 | |
| 11475 | // aten::_foreach_mul.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11476 | inline ::std::vector<at::Tensor> _foreach_mul(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11477 | return at::_ops::_foreach_mul_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11478 | } |
| 11479 | |
| 11480 | // aten::_foreach_mul_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11481 | inline void _foreach_mul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11482 | return at::_ops::_foreach_mul__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11483 | } |
| 11484 | |
| 11485 | // aten::_foreach_div.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11486 | inline ::std::vector<at::Tensor> _foreach_div(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11487 | return at::_ops::_foreach_div_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11488 | } |
| 11489 | |
| 11490 | // aten::_foreach_div_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11491 | inline void _foreach_div_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11492 | return at::_ops::_foreach_div__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11493 | } |
| 11494 | |
| 11495 | // aten::_foreach_clamp_min.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11496 | inline ::std::vector<at::Tensor> _foreach_clamp_min(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11497 | return at::_ops::_foreach_clamp_min_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11498 | } |
| 11499 | |
| 11500 | // aten::_foreach_clamp_min_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11501 | inline void _foreach_clamp_min_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11502 | return at::_ops::_foreach_clamp_min__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11503 | } |
| 11504 | |
| 11505 | // aten::_foreach_clamp_max.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11506 | inline ::std::vector<at::Tensor> _foreach_clamp_max(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11507 | return at::_ops::_foreach_clamp_max_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11508 | } |
| 11509 | |
| 11510 | // aten::_foreach_clamp_max_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11511 | inline void _foreach_clamp_max_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11512 | return at::_ops::_foreach_clamp_max__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11513 | } |
| 11514 | |
| 11515 | // aten::_foreach_maximum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11516 | inline ::std::vector<at::Tensor> _foreach_maximum(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11517 | return at::_ops::_foreach_maximum_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11518 | } |
| 11519 | |
| 11520 | // aten::_foreach_maximum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11521 | inline void _foreach_maximum_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11522 | return at::_ops::_foreach_maximum__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11523 | } |
| 11524 | |
| 11525 | // aten::_foreach_minimum.Scalar(Tensor[] self, Scalar scalar) -> Tensor[] |
| 11526 | inline ::std::vector<at::Tensor> _foreach_minimum(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11527 | return at::_ops::_foreach_minimum_Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11528 | } |
| 11529 | |
| 11530 | // aten::_foreach_minimum_.Scalar(Tensor(a!)[] self, Scalar scalar) -> () |
| 11531 | inline void _foreach_minimum_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar) { |
| 11532 | return at::_ops::_foreach_minimum__Scalar::redispatch(dispatchKeySet, self, scalar); |
| 11533 | } |
| 11534 | |
| 11535 | // aten::_foreach_add.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[] |
| 11536 | inline ::std::vector<at::Tensor> _foreach_add(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) { |
| 11537 | return at::_ops::_foreach_add_List::redispatch(dispatchKeySet, self, other, alpha); |
| 11538 | } |
| 11539 | |
| 11540 | // aten::_foreach_add_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> () |
| 11541 | inline void _foreach_add_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) { |
| 11542 | return at::_ops::_foreach_add__List::redispatch(dispatchKeySet, self, other, alpha); |
| 11543 | } |
| 11544 | |
| 11545 | // aten::_foreach_sub.List(Tensor[] self, Tensor[] other, *, Scalar alpha=1) -> Tensor[] |
| 11546 | inline ::std::vector<at::Tensor> _foreach_sub(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) { |
| 11547 | return at::_ops::_foreach_sub_List::redispatch(dispatchKeySet, self, other, alpha); |
| 11548 | } |
| 11549 | |
| 11550 | // aten::_foreach_sub_.List(Tensor(a!)[] self, Tensor[] other, *, Scalar alpha=1) -> () |
| 11551 | inline void _foreach_sub_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) { |
| 11552 | return at::_ops::_foreach_sub__List::redispatch(dispatchKeySet, self, other, alpha); |
| 11553 | } |
| 11554 | |
| 11555 | // aten::_foreach_mul.List(Tensor[] self, Tensor[] other) -> Tensor[] |
| 11556 | inline ::std::vector<at::Tensor> _foreach_mul(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11557 | return at::_ops::_foreach_mul_List::redispatch(dispatchKeySet, self, other); |
| 11558 | } |
| 11559 | |
| 11560 | // aten::_foreach_mul_.List(Tensor(a!)[] self, Tensor[] other) -> () |
| 11561 | inline void _foreach_mul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11562 | return at::_ops::_foreach_mul__List::redispatch(dispatchKeySet, self, other); |
| 11563 | } |
| 11564 | |
| 11565 | // aten::_foreach_div.List(Tensor[] self, Tensor[] other) -> Tensor[] |
| 11566 | inline ::std::vector<at::Tensor> _foreach_div(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11567 | return at::_ops::_foreach_div_List::redispatch(dispatchKeySet, self, other); |
| 11568 | } |
| 11569 | |
| 11570 | // aten::_foreach_div_.List(Tensor(a!)[] self, Tensor[] other) -> () |
| 11571 | inline void _foreach_div_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11572 | return at::_ops::_foreach_div__List::redispatch(dispatchKeySet, self, other); |
| 11573 | } |
| 11574 | |
| 11575 | // aten::_foreach_clamp_min.List(Tensor[] self, Tensor[] other) -> Tensor[] |
| 11576 | inline ::std::vector<at::Tensor> _foreach_clamp_min(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11577 | return at::_ops::_foreach_clamp_min_List::redispatch(dispatchKeySet, self, other); |
| 11578 | } |
| 11579 | |
| 11580 | // aten::_foreach_clamp_min_.List(Tensor(a!)[] self, Tensor[] other) -> () |
| 11581 | inline void _foreach_clamp_min_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11582 | return at::_ops::_foreach_clamp_min__List::redispatch(dispatchKeySet, self, other); |
| 11583 | } |
| 11584 | |
| 11585 | // aten::_foreach_clamp_max.List(Tensor[] self, Tensor[] other) -> Tensor[] |
| 11586 | inline ::std::vector<at::Tensor> _foreach_clamp_max(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11587 | return at::_ops::_foreach_clamp_max_List::redispatch(dispatchKeySet, self, other); |
| 11588 | } |
| 11589 | |
| 11590 | // aten::_foreach_clamp_max_.List(Tensor(a!)[] self, Tensor[] other) -> () |
| 11591 | inline void _foreach_clamp_max_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11592 | return at::_ops::_foreach_clamp_max__List::redispatch(dispatchKeySet, self, other); |
| 11593 | } |
| 11594 | |
| 11595 | // aten::_foreach_maximum.List(Tensor[] self, Tensor[] other) -> Tensor[] |
| 11596 | inline ::std::vector<at::Tensor> _foreach_maximum(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11597 | return at::_ops::_foreach_maximum_List::redispatch(dispatchKeySet, self, other); |
| 11598 | } |
| 11599 | |
| 11600 | // aten::_foreach_maximum_.List(Tensor(a!)[] self, Tensor[] other) -> () |
| 11601 | inline void _foreach_maximum_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11602 | return at::_ops::_foreach_maximum__List::redispatch(dispatchKeySet, self, other); |
| 11603 | } |
| 11604 | |
| 11605 | // aten::_foreach_minimum.List(Tensor[] self, Tensor[] other) -> Tensor[] |
| 11606 | inline ::std::vector<at::Tensor> _foreach_minimum(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11607 | return at::_ops::_foreach_minimum_List::redispatch(dispatchKeySet, self, other); |
| 11608 | } |
| 11609 | |
| 11610 | // aten::_foreach_minimum_.List(Tensor(a!)[] self, Tensor[] other) -> () |
| 11611 | inline void _foreach_minimum_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other) { |
| 11612 | return at::_ops::_foreach_minimum__List::redispatch(dispatchKeySet, self, other); |
| 11613 | } |
| 11614 | |
| 11615 | // aten::_foreach_add.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11616 | inline ::std::vector<at::Tensor> _foreach_add(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11617 | return at::_ops::_foreach_add_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11618 | } |
| 11619 | |
| 11620 | // aten::_foreach_add_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11621 | inline void _foreach_add_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11622 | return at::_ops::_foreach_add__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11623 | } |
| 11624 | |
| 11625 | // aten::_foreach_sub.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11626 | inline ::std::vector<at::Tensor> _foreach_sub(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11627 | return at::_ops::_foreach_sub_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11628 | } |
| 11629 | |
| 11630 | // aten::_foreach_sub_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11631 | inline void _foreach_sub_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11632 | return at::_ops::_foreach_sub__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11633 | } |
| 11634 | |
| 11635 | // aten::_foreach_div.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11636 | inline ::std::vector<at::Tensor> _foreach_div(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11637 | return at::_ops::_foreach_div_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11638 | } |
| 11639 | |
| 11640 | // aten::_foreach_div_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11641 | inline void _foreach_div_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11642 | return at::_ops::_foreach_div__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11643 | } |
| 11644 | |
| 11645 | // aten::_foreach_mul.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11646 | inline ::std::vector<at::Tensor> _foreach_mul(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11647 | return at::_ops::_foreach_mul_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11648 | } |
| 11649 | |
| 11650 | // aten::_foreach_mul_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11651 | inline void _foreach_mul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11652 | return at::_ops::_foreach_mul__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11653 | } |
| 11654 | |
| 11655 | // aten::_foreach_clamp_min.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11656 | inline ::std::vector<at::Tensor> _foreach_clamp_min(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11657 | return at::_ops::_foreach_clamp_min_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11658 | } |
| 11659 | |
| 11660 | // aten::_foreach_clamp_min_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11661 | inline void _foreach_clamp_min_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11662 | return at::_ops::_foreach_clamp_min__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11663 | } |
| 11664 | |
| 11665 | // aten::_foreach_clamp_max.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11666 | inline ::std::vector<at::Tensor> _foreach_clamp_max(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11667 | return at::_ops::_foreach_clamp_max_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11668 | } |
| 11669 | |
| 11670 | // aten::_foreach_clamp_max_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11671 | inline void _foreach_clamp_max_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11672 | return at::_ops::_foreach_clamp_max__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11673 | } |
| 11674 | |
| 11675 | // aten::_foreach_maximum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11676 | inline ::std::vector<at::Tensor> _foreach_maximum(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11677 | return at::_ops::_foreach_maximum_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11678 | } |
| 11679 | |
| 11680 | // aten::_foreach_maximum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11681 | inline void _foreach_maximum_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11682 | return at::_ops::_foreach_maximum__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11683 | } |
| 11684 | |
| 11685 | // aten::_foreach_minimum.ScalarList(Tensor[] self, Scalar[] scalars) -> Tensor[] |
| 11686 | inline ::std::vector<at::Tensor> _foreach_minimum(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11687 | return at::_ops::_foreach_minimum_ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11688 | } |
| 11689 | |
| 11690 | // aten::_foreach_minimum_.ScalarList(Tensor(a!)[] self, Scalar[] scalars) -> () |
| 11691 | inline void _foreach_minimum_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 11692 | return at::_ops::_foreach_minimum__ScalarList::redispatch(dispatchKeySet, self, scalars); |
| 11693 | } |
| 11694 | |
| 11695 | // aten::_foreach_exp(Tensor[] self) -> Tensor[] |
| 11696 | inline ::std::vector<at::Tensor> _foreach_exp(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11697 | return at::_ops::_foreach_exp::redispatch(dispatchKeySet, self); |
| 11698 | } |
| 11699 | |
| 11700 | // aten::_foreach_zero_(Tensor(a!)[] self) -> () |
| 11701 | inline void _foreach_zero_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11702 | return at::_ops::_foreach_zero_::redispatch(dispatchKeySet, self); |
| 11703 | } |
| 11704 | |
| 11705 | // aten::_foreach_exp_(Tensor(a!)[] self) -> () |
| 11706 | inline void _foreach_exp_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11707 | return at::_ops::_foreach_exp_::redispatch(dispatchKeySet, self); |
| 11708 | } |
| 11709 | |
| 11710 | // aten::_foreach_sqrt(Tensor[] self) -> Tensor[] |
| 11711 | inline ::std::vector<at::Tensor> _foreach_sqrt(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11712 | return at::_ops::_foreach_sqrt::redispatch(dispatchKeySet, self); |
| 11713 | } |
| 11714 | |
| 11715 | // aten::_foreach_sqrt_(Tensor(a!)[] self) -> () |
| 11716 | inline void _foreach_sqrt_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11717 | return at::_ops::_foreach_sqrt_::redispatch(dispatchKeySet, self); |
| 11718 | } |
| 11719 | |
| 11720 | // aten::_foreach_abs(Tensor[] self) -> Tensor[] |
| 11721 | inline ::std::vector<at::Tensor> _foreach_abs(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11722 | return at::_ops::_foreach_abs::redispatch(dispatchKeySet, self); |
| 11723 | } |
| 11724 | |
| 11725 | // aten::_foreach_abs_(Tensor(a!)[] self) -> () |
| 11726 | inline void _foreach_abs_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11727 | return at::_ops::_foreach_abs_::redispatch(dispatchKeySet, self); |
| 11728 | } |
| 11729 | |
| 11730 | // aten::_foreach_acos(Tensor[] self) -> Tensor[] |
| 11731 | inline ::std::vector<at::Tensor> _foreach_acos(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11732 | return at::_ops::_foreach_acos::redispatch(dispatchKeySet, self); |
| 11733 | } |
| 11734 | |
| 11735 | // aten::_foreach_acos_(Tensor(a!)[] self) -> () |
| 11736 | inline void _foreach_acos_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11737 | return at::_ops::_foreach_acos_::redispatch(dispatchKeySet, self); |
| 11738 | } |
| 11739 | |
| 11740 | // aten::_foreach_asin(Tensor[] self) -> Tensor[] |
| 11741 | inline ::std::vector<at::Tensor> _foreach_asin(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11742 | return at::_ops::_foreach_asin::redispatch(dispatchKeySet, self); |
| 11743 | } |
| 11744 | |
| 11745 | // aten::_foreach_asin_(Tensor(a!)[] self) -> () |
| 11746 | inline void _foreach_asin_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11747 | return at::_ops::_foreach_asin_::redispatch(dispatchKeySet, self); |
| 11748 | } |
| 11749 | |
| 11750 | // aten::_foreach_atan(Tensor[] self) -> Tensor[] |
| 11751 | inline ::std::vector<at::Tensor> _foreach_atan(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11752 | return at::_ops::_foreach_atan::redispatch(dispatchKeySet, self); |
| 11753 | } |
| 11754 | |
| 11755 | // aten::_foreach_atan_(Tensor(a!)[] self) -> () |
| 11756 | inline void _foreach_atan_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11757 | return at::_ops::_foreach_atan_::redispatch(dispatchKeySet, self); |
| 11758 | } |
| 11759 | |
| 11760 | // aten::_foreach_ceil(Tensor[] self) -> Tensor[] |
| 11761 | inline ::std::vector<at::Tensor> _foreach_ceil(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11762 | return at::_ops::_foreach_ceil::redispatch(dispatchKeySet, self); |
| 11763 | } |
| 11764 | |
| 11765 | // aten::_foreach_ceil_(Tensor(a!)[] self) -> () |
| 11766 | inline void _foreach_ceil_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11767 | return at::_ops::_foreach_ceil_::redispatch(dispatchKeySet, self); |
| 11768 | } |
| 11769 | |
| 11770 | // aten::_foreach_cos(Tensor[] self) -> Tensor[] |
| 11771 | inline ::std::vector<at::Tensor> _foreach_cos(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11772 | return at::_ops::_foreach_cos::redispatch(dispatchKeySet, self); |
| 11773 | } |
| 11774 | |
| 11775 | // aten::_foreach_cos_(Tensor(a!)[] self) -> () |
| 11776 | inline void _foreach_cos_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11777 | return at::_ops::_foreach_cos_::redispatch(dispatchKeySet, self); |
| 11778 | } |
| 11779 | |
| 11780 | // aten::_foreach_cosh(Tensor[] self) -> Tensor[] |
| 11781 | inline ::std::vector<at::Tensor> _foreach_cosh(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11782 | return at::_ops::_foreach_cosh::redispatch(dispatchKeySet, self); |
| 11783 | } |
| 11784 | |
| 11785 | // aten::_foreach_cosh_(Tensor(a!)[] self) -> () |
| 11786 | inline void _foreach_cosh_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11787 | return at::_ops::_foreach_cosh_::redispatch(dispatchKeySet, self); |
| 11788 | } |
| 11789 | |
| 11790 | // aten::_foreach_erf(Tensor[] self) -> Tensor[] |
| 11791 | inline ::std::vector<at::Tensor> _foreach_erf(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11792 | return at::_ops::_foreach_erf::redispatch(dispatchKeySet, self); |
| 11793 | } |
| 11794 | |
| 11795 | // aten::_foreach_erf_(Tensor(a!)[] self) -> () |
| 11796 | inline void _foreach_erf_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11797 | return at::_ops::_foreach_erf_::redispatch(dispatchKeySet, self); |
| 11798 | } |
| 11799 | |
| 11800 | // aten::_foreach_erfc(Tensor[] self) -> Tensor[] |
| 11801 | inline ::std::vector<at::Tensor> _foreach_erfc(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11802 | return at::_ops::_foreach_erfc::redispatch(dispatchKeySet, self); |
| 11803 | } |
| 11804 | |
| 11805 | // aten::_foreach_erfc_(Tensor(a!)[] self) -> () |
| 11806 | inline void _foreach_erfc_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11807 | return at::_ops::_foreach_erfc_::redispatch(dispatchKeySet, self); |
| 11808 | } |
| 11809 | |
| 11810 | // aten::_foreach_expm1(Tensor[] self) -> Tensor[] |
| 11811 | inline ::std::vector<at::Tensor> _foreach_expm1(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11812 | return at::_ops::_foreach_expm1::redispatch(dispatchKeySet, self); |
| 11813 | } |
| 11814 | |
| 11815 | // aten::_foreach_expm1_(Tensor(a!)[] self) -> () |
| 11816 | inline void _foreach_expm1_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11817 | return at::_ops::_foreach_expm1_::redispatch(dispatchKeySet, self); |
| 11818 | } |
| 11819 | |
| 11820 | // aten::_foreach_floor(Tensor[] self) -> Tensor[] |
| 11821 | inline ::std::vector<at::Tensor> _foreach_floor(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11822 | return at::_ops::_foreach_floor::redispatch(dispatchKeySet, self); |
| 11823 | } |
| 11824 | |
| 11825 | // aten::_foreach_floor_(Tensor(a!)[] self) -> () |
| 11826 | inline void _foreach_floor_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11827 | return at::_ops::_foreach_floor_::redispatch(dispatchKeySet, self); |
| 11828 | } |
| 11829 | |
| 11830 | // aten::_foreach_log(Tensor[] self) -> Tensor[] |
| 11831 | inline ::std::vector<at::Tensor> _foreach_log(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11832 | return at::_ops::_foreach_log::redispatch(dispatchKeySet, self); |
| 11833 | } |
| 11834 | |
| 11835 | // aten::_foreach_log_(Tensor(a!)[] self) -> () |
| 11836 | inline void _foreach_log_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11837 | return at::_ops::_foreach_log_::redispatch(dispatchKeySet, self); |
| 11838 | } |
| 11839 | |
| 11840 | // aten::_foreach_log10(Tensor[] self) -> Tensor[] |
| 11841 | inline ::std::vector<at::Tensor> _foreach_log10(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11842 | return at::_ops::_foreach_log10::redispatch(dispatchKeySet, self); |
| 11843 | } |
| 11844 | |
| 11845 | // aten::_foreach_log10_(Tensor(a!)[] self) -> () |
| 11846 | inline void _foreach_log10_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11847 | return at::_ops::_foreach_log10_::redispatch(dispatchKeySet, self); |
| 11848 | } |
| 11849 | |
| 11850 | // aten::_foreach_log1p(Tensor[] self) -> Tensor[] |
| 11851 | inline ::std::vector<at::Tensor> _foreach_log1p(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11852 | return at::_ops::_foreach_log1p::redispatch(dispatchKeySet, self); |
| 11853 | } |
| 11854 | |
| 11855 | // aten::_foreach_log1p_(Tensor(a!)[] self) -> () |
| 11856 | inline void _foreach_log1p_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11857 | return at::_ops::_foreach_log1p_::redispatch(dispatchKeySet, self); |
| 11858 | } |
| 11859 | |
| 11860 | // aten::_foreach_log2(Tensor[] self) -> Tensor[] |
| 11861 | inline ::std::vector<at::Tensor> _foreach_log2(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11862 | return at::_ops::_foreach_log2::redispatch(dispatchKeySet, self); |
| 11863 | } |
| 11864 | |
| 11865 | // aten::_foreach_log2_(Tensor(a!)[] self) -> () |
| 11866 | inline void _foreach_log2_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11867 | return at::_ops::_foreach_log2_::redispatch(dispatchKeySet, self); |
| 11868 | } |
| 11869 | |
| 11870 | // aten::_foreach_neg(Tensor[] self) -> Tensor[] |
| 11871 | inline ::std::vector<at::Tensor> _foreach_neg(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11872 | return at::_ops::_foreach_neg::redispatch(dispatchKeySet, self); |
| 11873 | } |
| 11874 | |
| 11875 | // aten::_foreach_neg_(Tensor(a!)[] self) -> () |
| 11876 | inline void _foreach_neg_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11877 | return at::_ops::_foreach_neg_::redispatch(dispatchKeySet, self); |
| 11878 | } |
| 11879 | |
| 11880 | // aten::_foreach_tan(Tensor[] self) -> Tensor[] |
| 11881 | inline ::std::vector<at::Tensor> _foreach_tan(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11882 | return at::_ops::_foreach_tan::redispatch(dispatchKeySet, self); |
| 11883 | } |
| 11884 | |
| 11885 | // aten::_foreach_tan_(Tensor(a!)[] self) -> () |
| 11886 | inline void _foreach_tan_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11887 | return at::_ops::_foreach_tan_::redispatch(dispatchKeySet, self); |
| 11888 | } |
| 11889 | |
| 11890 | // aten::_foreach_tanh(Tensor[] self) -> Tensor[] |
| 11891 | inline ::std::vector<at::Tensor> _foreach_tanh(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11892 | return at::_ops::_foreach_tanh::redispatch(dispatchKeySet, self); |
| 11893 | } |
| 11894 | |
| 11895 | // aten::_foreach_tanh_(Tensor(a!)[] self) -> () |
| 11896 | inline void _foreach_tanh_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11897 | return at::_ops::_foreach_tanh_::redispatch(dispatchKeySet, self); |
| 11898 | } |
| 11899 | |
| 11900 | // aten::_foreach_sin(Tensor[] self) -> Tensor[] |
| 11901 | inline ::std::vector<at::Tensor> _foreach_sin(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11902 | return at::_ops::_foreach_sin::redispatch(dispatchKeySet, self); |
| 11903 | } |
| 11904 | |
| 11905 | // aten::_foreach_sin_(Tensor(a!)[] self) -> () |
| 11906 | inline void _foreach_sin_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11907 | return at::_ops::_foreach_sin_::redispatch(dispatchKeySet, self); |
| 11908 | } |
| 11909 | |
| 11910 | // aten::_foreach_sinh(Tensor[] self) -> Tensor[] |
| 11911 | inline ::std::vector<at::Tensor> _foreach_sinh(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11912 | return at::_ops::_foreach_sinh::redispatch(dispatchKeySet, self); |
| 11913 | } |
| 11914 | |
| 11915 | // aten::_foreach_sinh_(Tensor(a!)[] self) -> () |
| 11916 | inline void _foreach_sinh_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11917 | return at::_ops::_foreach_sinh_::redispatch(dispatchKeySet, self); |
| 11918 | } |
| 11919 | |
| 11920 | // aten::_foreach_round(Tensor[] self) -> Tensor[] |
| 11921 | inline ::std::vector<at::Tensor> _foreach_round(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11922 | return at::_ops::_foreach_round::redispatch(dispatchKeySet, self); |
| 11923 | } |
| 11924 | |
| 11925 | // aten::_foreach_round_(Tensor(a!)[] self) -> () |
| 11926 | inline void _foreach_round_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11927 | return at::_ops::_foreach_round_::redispatch(dispatchKeySet, self); |
| 11928 | } |
| 11929 | |
| 11930 | // aten::_foreach_lgamma(Tensor[] self) -> Tensor[] |
| 11931 | inline ::std::vector<at::Tensor> _foreach_lgamma(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11932 | return at::_ops::_foreach_lgamma::redispatch(dispatchKeySet, self); |
| 11933 | } |
| 11934 | |
| 11935 | // aten::_foreach_lgamma_(Tensor(a!)[] self) -> () |
| 11936 | inline void _foreach_lgamma_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11937 | return at::_ops::_foreach_lgamma_::redispatch(dispatchKeySet, self); |
| 11938 | } |
| 11939 | |
| 11940 | // aten::_foreach_frac(Tensor[] self) -> Tensor[] |
| 11941 | inline ::std::vector<at::Tensor> _foreach_frac(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11942 | return at::_ops::_foreach_frac::redispatch(dispatchKeySet, self); |
| 11943 | } |
| 11944 | |
| 11945 | // aten::_foreach_frac_(Tensor(a!)[] self) -> () |
| 11946 | inline void _foreach_frac_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11947 | return at::_ops::_foreach_frac_::redispatch(dispatchKeySet, self); |
| 11948 | } |
| 11949 | |
| 11950 | // aten::_foreach_reciprocal(Tensor[] self) -> Tensor[] |
| 11951 | inline ::std::vector<at::Tensor> _foreach_reciprocal(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11952 | return at::_ops::_foreach_reciprocal::redispatch(dispatchKeySet, self); |
| 11953 | } |
| 11954 | |
| 11955 | // aten::_foreach_reciprocal_(Tensor(a!)[] self) -> () |
| 11956 | inline void _foreach_reciprocal_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11957 | return at::_ops::_foreach_reciprocal_::redispatch(dispatchKeySet, self); |
| 11958 | } |
| 11959 | |
| 11960 | // aten::_foreach_sigmoid(Tensor[] self) -> Tensor[] |
| 11961 | inline ::std::vector<at::Tensor> _foreach_sigmoid(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11962 | return at::_ops::_foreach_sigmoid::redispatch(dispatchKeySet, self); |
| 11963 | } |
| 11964 | |
| 11965 | // aten::_foreach_sigmoid_(Tensor(a!)[] self) -> () |
| 11966 | inline void _foreach_sigmoid_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11967 | return at::_ops::_foreach_sigmoid_::redispatch(dispatchKeySet, self); |
| 11968 | } |
| 11969 | |
| 11970 | // aten::_foreach_trunc(Tensor[] self) -> Tensor[] |
| 11971 | inline ::std::vector<at::Tensor> _foreach_trunc(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11972 | return at::_ops::_foreach_trunc::redispatch(dispatchKeySet, self); |
| 11973 | } |
| 11974 | |
| 11975 | // aten::_foreach_trunc_(Tensor(a!)[] self) -> () |
| 11976 | inline void _foreach_trunc_(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 11977 | return at::_ops::_foreach_trunc_::redispatch(dispatchKeySet, self); |
| 11978 | } |
| 11979 | |
| 11980 | // aten::_foreach_addcdiv_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> () |
| 11981 | inline void _foreach_addcdiv_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) { |
| 11982 | return at::_ops::_foreach_addcdiv__Scalar::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 11983 | } |
| 11984 | |
| 11985 | // aten::_foreach_addcmul_.Scalar(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> () |
| 11986 | inline void _foreach_addcmul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) { |
| 11987 | return at::_ops::_foreach_addcmul__Scalar::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 11988 | } |
| 11989 | |
| 11990 | // aten::_foreach_addcdiv_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> () |
| 11991 | inline void _foreach_addcdiv_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) { |
| 11992 | return at::_ops::_foreach_addcdiv__ScalarList::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 11993 | } |
| 11994 | |
| 11995 | // aten::_foreach_addcdiv_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> () |
| 11996 | inline void _foreach_addcdiv_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars) { |
| 11997 | return at::_ops::_foreach_addcdiv__Tensor::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 11998 | } |
| 11999 | |
| 12000 | // aten::_foreach_addcmul_.ScalarList(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> () |
| 12001 | inline void _foreach_addcmul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) { |
| 12002 | return at::_ops::_foreach_addcmul__ScalarList::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 12003 | } |
| 12004 | |
| 12005 | // aten::_foreach_addcmul_.Tensor(Tensor(a!)[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> () |
| 12006 | inline void _foreach_addcmul_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars) { |
| 12007 | return at::_ops::_foreach_addcmul__Tensor::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 12008 | } |
| 12009 | |
| 12010 | // aten::_foreach_addcdiv.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[] |
| 12011 | inline ::std::vector<at::Tensor> _foreach_addcdiv(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) { |
| 12012 | return at::_ops::_foreach_addcdiv_Scalar::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 12013 | } |
| 12014 | |
| 12015 | // aten::_foreach_addcmul.Scalar(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1) -> Tensor[] |
| 12016 | inline ::std::vector<at::Tensor> _foreach_addcmul(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) { |
| 12017 | return at::_ops::_foreach_addcmul_Scalar::redispatch(dispatchKeySet, self, tensor1, tensor2, value); |
| 12018 | } |
| 12019 | |
| 12020 | // aten::_foreach_addcdiv.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[] |
| 12021 | inline ::std::vector<at::Tensor> _foreach_addcdiv(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) { |
| 12022 | return at::_ops::_foreach_addcdiv_ScalarList::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 12023 | } |
| 12024 | |
| 12025 | // aten::_foreach_addcdiv.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[] |
| 12026 | inline ::std::vector<at::Tensor> _foreach_addcdiv(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars) { |
| 12027 | return at::_ops::_foreach_addcdiv_Tensor::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 12028 | } |
| 12029 | |
| 12030 | // aten::_foreach_addcmul.ScalarList(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars) -> Tensor[] |
| 12031 | inline ::std::vector<at::Tensor> _foreach_addcmul(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) { |
| 12032 | return at::_ops::_foreach_addcmul_ScalarList::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 12033 | } |
| 12034 | |
| 12035 | // aten::_foreach_addcmul.Tensor(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars) -> Tensor[] |
| 12036 | inline ::std::vector<at::Tensor> _foreach_addcmul(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars) { |
| 12037 | return at::_ops::_foreach_addcmul_Tensor::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars); |
| 12038 | } |
| 12039 | |
| 12040 | // aten::_foreach_norm.Scalar(Tensor[] self, Scalar ord=2) -> Tensor[] |
| 12041 | inline ::std::vector<at::Tensor> _foreach_norm(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & ord=2) { |
| 12042 | return at::_ops::_foreach_norm_Scalar::redispatch(dispatchKeySet, self, ord); |
| 12043 | } |
| 12044 | |
| 12045 | // aten::_foreach_lerp.List(Tensor[] self, Tensor[] tensors1, Tensor[] weights) -> Tensor[] |
| 12046 | inline ::std::vector<at::Tensor> _foreach_lerp(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensors1, at::TensorList weights) { |
| 12047 | return at::_ops::_foreach_lerp_List::redispatch(dispatchKeySet, self, tensors1, weights); |
| 12048 | } |
| 12049 | |
| 12050 | // aten::_foreach_lerp_.List(Tensor(a!)[] self, Tensor[] tensors1, Tensor[] weights) -> () |
| 12051 | inline void _foreach_lerp_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensors1, at::TensorList weights) { |
| 12052 | return at::_ops::_foreach_lerp__List::redispatch(dispatchKeySet, self, tensors1, weights); |
| 12053 | } |
| 12054 | |
| 12055 | // aten::_foreach_lerp.Scalar(Tensor[] self, Tensor[] tensors1, Scalar weight) -> Tensor[] |
| 12056 | inline ::std::vector<at::Tensor> _foreach_lerp(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensors1, const at::Scalar & weight) { |
| 12057 | return at::_ops::_foreach_lerp_Scalar::redispatch(dispatchKeySet, self, tensors1, weight); |
| 12058 | } |
| 12059 | |
| 12060 | // aten::_foreach_lerp_.Scalar(Tensor(a!)[] self, Tensor[] tensors1, Scalar weight) -> () |
| 12061 | inline void _foreach_lerp_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensors1, const at::Scalar & weight) { |
| 12062 | return at::_ops::_foreach_lerp__Scalar::redispatch(dispatchKeySet, self, tensors1, weight); |
| 12063 | } |
| 12064 | |
| 12065 | // aten::bucketize.Tensor(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor |
| 12066 | inline at::Tensor bucketize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & boundaries, bool out_int32=false, bool right=false) { |
| 12067 | return at::_ops::bucketize_Tensor::redispatch(dispatchKeySet, self, boundaries, out_int32, right); |
| 12068 | } |
| 12069 | |
| 12070 | // aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!) |
| 12071 | inline at::Tensor & bucketize_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & boundaries, bool out_int32=false, bool right=false) { |
| 12072 | return at::_ops::bucketize_Tensor_out::redispatch(dispatchKeySet, self, boundaries, out_int32, right, out); |
| 12073 | } |
| 12074 | |
| 12075 | // aten::bucketize.Tensor_out(Tensor self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!) |
| 12076 | inline at::Tensor & bucketize_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & boundaries, bool out_int32, bool right, at::Tensor & out) { |
| 12077 | return at::_ops::bucketize_Tensor_out::redispatch(dispatchKeySet, self, boundaries, out_int32, right, out); |
| 12078 | } |
| 12079 | |
| 12080 | // aten::bucketize.Scalar(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False) -> Tensor |
| 12081 | inline at::Tensor bucketize(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & boundaries, bool out_int32=false, bool right=false) { |
| 12082 | return at::_ops::bucketize_Scalar::redispatch(dispatchKeySet, self, boundaries, out_int32, right); |
| 12083 | } |
| 12084 | |
| 12085 | // aten::searchsorted.Tensor(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor |
| 12086 | inline at::Tensor searchsorted(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sorted_sequence, const at::Tensor & self, bool out_int32=false, bool right=false, c10::optional<c10::string_view> side=c10::nullopt, const c10::optional<at::Tensor> & sorter={}) { |
| 12087 | return at::_ops::searchsorted_Tensor::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, side, sorter); |
| 12088 | } |
| 12089 | |
| 12090 | // aten::searchsorted.Tensor_out(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!) |
| 12091 | inline at::Tensor & searchsorted_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & sorted_sequence, const at::Tensor & self, bool out_int32=false, bool right=false, c10::optional<c10::string_view> side=c10::nullopt, const c10::optional<at::Tensor> & sorter={}) { |
| 12092 | return at::_ops::searchsorted_Tensor_out::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, side, sorter, out); |
| 12093 | } |
| 12094 | |
| 12095 | // aten::searchsorted.Tensor_out(Tensor sorted_sequence, Tensor self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!) |
| 12096 | inline at::Tensor & searchsorted_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sorted_sequence, const at::Tensor & self, bool out_int32, bool right, c10::optional<c10::string_view> side, const c10::optional<at::Tensor> & sorter, at::Tensor & out) { |
| 12097 | return at::_ops::searchsorted_Tensor_out::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, side, sorter, out); |
| 12098 | } |
| 12099 | |
| 12100 | // aten::searchsorted.Scalar(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None) -> Tensor |
| 12101 | inline at::Tensor searchsorted(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sorted_sequence, const at::Scalar & self, bool out_int32=false, bool right=false, c10::optional<c10::string_view> side=c10::nullopt, const c10::optional<at::Tensor> & sorter={}) { |
| 12102 | return at::_ops::searchsorted_Scalar::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, side, sorter); |
| 12103 | } |
| 12104 | |
| 12105 | // aten::_convert_indices_from_coo_to_csr(Tensor self, int size, *, bool out_int32=False) -> Tensor |
| 12106 | inline at::Tensor _convert_indices_from_coo_to_csr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t size, bool out_int32=false) { |
| 12107 | return at::_ops::_convert_indices_from_coo_to_csr::redispatch(dispatchKeySet, self, size, out_int32); |
| 12108 | } |
| 12109 | |
| 12110 | // aten::_convert_indices_from_coo_to_csr.out(Tensor self, int size, *, bool out_int32=False, Tensor(a!) out) -> Tensor(a!) |
| 12111 | inline at::Tensor & _convert_indices_from_coo_to_csr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t size, bool out_int32=false) { |
| 12112 | return at::_ops::_convert_indices_from_coo_to_csr_out::redispatch(dispatchKeySet, self, size, out_int32, out); |
| 12113 | } |
| 12114 | |
| 12115 | // aten::_convert_indices_from_coo_to_csr.out(Tensor self, int size, *, bool out_int32=False, Tensor(a!) out) -> Tensor(a!) |
| 12116 | inline at::Tensor & _convert_indices_from_coo_to_csr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t size, bool out_int32, at::Tensor & out) { |
| 12117 | return at::_ops::_convert_indices_from_coo_to_csr_out::redispatch(dispatchKeySet, self, size, out_int32, out); |
| 12118 | } |
| 12119 | |
| 12120 | // aten::_convert_indices_from_csr_to_coo(Tensor crow_indices, Tensor col_indices, *, bool out_int32=False, bool transpose=False) -> Tensor |
| 12121 | inline at::Tensor _convert_indices_from_csr_to_coo(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, bool out_int32=false, bool transpose=false) { |
| 12122 | return at::_ops::_convert_indices_from_csr_to_coo::redispatch(dispatchKeySet, crow_indices, col_indices, out_int32, transpose); |
| 12123 | } |
| 12124 | |
| 12125 | // aten::_convert_indices_from_csr_to_coo.out(Tensor crow_indices, Tensor col_indices, *, bool out_int32=False, bool transpose=False, Tensor(a!) out) -> Tensor(a!) |
| 12126 | inline at::Tensor & _convert_indices_from_csr_to_coo_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & crow_indices, const at::Tensor & col_indices, bool out_int32=false, bool transpose=false) { |
| 12127 | return at::_ops::_convert_indices_from_csr_to_coo_out::redispatch(dispatchKeySet, crow_indices, col_indices, out_int32, transpose, out); |
| 12128 | } |
| 12129 | |
| 12130 | // aten::_convert_indices_from_csr_to_coo.out(Tensor crow_indices, Tensor col_indices, *, bool out_int32=False, bool transpose=False, Tensor(a!) out) -> Tensor(a!) |
| 12131 | inline at::Tensor & _convert_indices_from_csr_to_coo_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & crow_indices, const at::Tensor & col_indices, bool out_int32, bool transpose, at::Tensor & out) { |
| 12132 | return at::_ops::_convert_indices_from_csr_to_coo_out::redispatch(dispatchKeySet, crow_indices, col_indices, out_int32, transpose, out); |
| 12133 | } |
| 12134 | |
| 12135 | // aten::mse_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12136 | inline at::Tensor & mse_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) { |
| 12137 | return at::_ops::mse_loss_out::redispatch(dispatchKeySet, self, target, reduction, out); |
| 12138 | } |
| 12139 | |
| 12140 | // aten::mse_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12141 | inline at::Tensor & mse_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) { |
| 12142 | return at::_ops::mse_loss_out::redispatch(dispatchKeySet, self, target, reduction, out); |
| 12143 | } |
| 12144 | |
| 12145 | // aten::mse_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor |
| 12146 | inline at::Tensor mse_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) { |
| 12147 | return at::_ops::mse_loss::redispatch(dispatchKeySet, self, target, reduction); |
| 12148 | } |
| 12149 | |
| 12150 | // aten::mse_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12151 | inline at::Tensor & mse_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 12152 | return at::_ops::mse_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input); |
| 12153 | } |
| 12154 | |
| 12155 | // aten::mse_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12156 | inline at::Tensor & mse_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & grad_input) { |
| 12157 | return at::_ops::mse_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input); |
| 12158 | } |
| 12159 | |
| 12160 | // aten::mse_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction) -> Tensor |
| 12161 | inline at::Tensor mse_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 12162 | return at::_ops::mse_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction); |
| 12163 | } |
| 12164 | |
| 12165 | // aten::l1_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor |
| 12166 | inline at::Tensor l1_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) { |
| 12167 | return at::_ops::l1_loss::redispatch(dispatchKeySet, self, target, reduction); |
| 12168 | } |
| 12169 | |
| 12170 | // aten::multi_margin_loss.out(Tensor self, Tensor target, Scalar p=1, Scalar margin=1, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12171 | inline at::Tensor & multi_margin_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p=1, const at::Scalar & margin=1, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 12172 | return at::_ops::multi_margin_loss_out::redispatch(dispatchKeySet, self, target, p, margin, weight, reduction, out); |
| 12173 | } |
| 12174 | |
| 12175 | // aten::multi_margin_loss.out(Tensor self, Tensor target, Scalar p=1, Scalar margin=1, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12176 | inline at::Tensor & multi_margin_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & out) { |
| 12177 | return at::_ops::multi_margin_loss_out::redispatch(dispatchKeySet, self, target, p, margin, weight, reduction, out); |
| 12178 | } |
| 12179 | |
| 12180 | // aten::multi_margin_loss(Tensor self, Tensor target, Scalar p=1, Scalar margin=1, Tensor? weight=None, int reduction=Mean) -> Tensor |
| 12181 | inline at::Tensor multi_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p=1, const at::Scalar & margin=1, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 12182 | return at::_ops::multi_margin_loss::redispatch(dispatchKeySet, self, target, p, margin, weight, reduction); |
| 12183 | } |
| 12184 | |
| 12185 | // aten::multi_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12186 | inline at::Tensor & multi_margin_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 12187 | return at::_ops::multi_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, p, margin, weight, reduction, grad_input); |
| 12188 | } |
| 12189 | |
| 12190 | // aten::multi_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, Tensor? weight=None, int reduction=Mean, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12191 | inline at::Tensor & multi_margin_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight, int64_t reduction, at::Tensor & grad_input) { |
| 12192 | return at::_ops::multi_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, p, margin, weight, reduction, grad_input); |
| 12193 | } |
| 12194 | |
| 12195 | // aten::multi_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, Scalar p, Scalar margin, Tensor? weight=None, int reduction=Mean) -> Tensor |
| 12196 | inline at::Tensor multi_margin_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const at::Scalar & p, const at::Scalar & margin, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean) { |
| 12197 | return at::_ops::multi_margin_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, p, margin, weight, reduction); |
| 12198 | } |
| 12199 | |
| 12200 | // aten::multilabel_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12201 | inline at::Tensor & multilabel_margin_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) { |
| 12202 | return at::_ops::multilabel_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out); |
| 12203 | } |
| 12204 | |
| 12205 | // aten::multilabel_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12206 | inline at::Tensor & multilabel_margin_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) { |
| 12207 | return at::_ops::multilabel_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out); |
| 12208 | } |
| 12209 | |
| 12210 | // aten::multilabel_margin_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor |
| 12211 | inline at::Tensor multilabel_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) { |
| 12212 | return at::_ops::multilabel_margin_loss::redispatch(dispatchKeySet, self, target, reduction); |
| 12213 | } |
| 12214 | |
| 12215 | // aten::multilabel_margin_loss_forward.output(Tensor self, Tensor target, int reduction, *, Tensor(a!) output, Tensor(b!) is_target) -> (Tensor(a!), Tensor(b!)) |
| 12216 | inline ::std::tuple<at::Tensor &,at::Tensor &> multilabel_margin_loss_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & is_target, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 12217 | return at::_ops::multilabel_margin_loss_forward_output::redispatch(dispatchKeySet, self, target, reduction, output, is_target); |
| 12218 | } |
| 12219 | |
| 12220 | // aten::multilabel_margin_loss_forward.output(Tensor self, Tensor target, int reduction, *, Tensor(a!) output, Tensor(b!) is_target) -> (Tensor(a!), Tensor(b!)) |
| 12221 | inline ::std::tuple<at::Tensor &,at::Tensor &> multilabel_margin_loss_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & output, at::Tensor & is_target) { |
| 12222 | return at::_ops::multilabel_margin_loss_forward_output::redispatch(dispatchKeySet, self, target, reduction, output, is_target); |
| 12223 | } |
| 12224 | |
| 12225 | // aten::multilabel_margin_loss_forward(Tensor self, Tensor target, int reduction) -> (Tensor output, Tensor is_target) |
| 12226 | inline ::std::tuple<at::Tensor,at::Tensor> multilabel_margin_loss_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 12227 | return at::_ops::multilabel_margin_loss_forward::redispatch(dispatchKeySet, self, target, reduction); |
| 12228 | } |
| 12229 | |
| 12230 | // aten::multilabel_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12231 | inline at::Tensor & multilabel_margin_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target) { |
| 12232 | return at::_ops::multilabel_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, is_target, grad_input); |
| 12233 | } |
| 12234 | |
| 12235 | // aten::multilabel_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12236 | inline at::Tensor & multilabel_margin_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target, at::Tensor & grad_input) { |
| 12237 | return at::_ops::multilabel_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, is_target, grad_input); |
| 12238 | } |
| 12239 | |
| 12240 | // aten::multilabel_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction, Tensor is_target) -> Tensor |
| 12241 | inline at::Tensor multilabel_margin_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, const at::Tensor & is_target) { |
| 12242 | return at::_ops::multilabel_margin_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction, is_target); |
| 12243 | } |
| 12244 | |
| 12245 | // aten::nll_loss.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12246 | inline at::Tensor & nll_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) { |
| 12247 | return at::_ops::nll_loss_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12248 | } |
| 12249 | |
| 12250 | // aten::nll_loss.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12251 | inline at::Tensor & nll_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & out) { |
| 12252 | return at::_ops::nll_loss_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12253 | } |
| 12254 | |
| 12255 | // aten::nll_loss.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12256 | inline at::Tensor & nll_loss_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100) { |
| 12257 | return at::_ops::nll_loss_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12258 | } |
| 12259 | |
| 12260 | // aten::nll_loss.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12261 | inline at::Tensor & nll_loss_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & out) { |
| 12262 | return at::_ops::nll_loss_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12263 | } |
| 12264 | |
| 12265 | // aten::nll_loss_nd(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100) -> Tensor |
| 12266 | inline at::Tensor nll_loss_nd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) { |
| 12267 | return at::_ops::nll_loss_nd::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12268 | } |
| 12269 | |
| 12270 | // aten::nll_loss_nd(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100) -> Tensor |
| 12271 | inline at::Tensor nll_loss_nd_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100) { |
| 12272 | return at::_ops::nll_loss_nd::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12273 | } |
| 12274 | |
| 12275 | // aten::nll_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100) -> Tensor |
| 12276 | inline at::Tensor nll_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) { |
| 12277 | return at::_ops::nll_loss::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12278 | } |
| 12279 | |
| 12280 | // aten::nll_loss(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100) -> Tensor |
| 12281 | inline at::Tensor nll_loss_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100) { |
| 12282 | return at::_ops::nll_loss::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12283 | } |
| 12284 | |
| 12285 | // aten::nll_loss_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12286 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & total_weight, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 12287 | return at::_ops::nll_loss_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12288 | } |
| 12289 | |
| 12290 | // aten::nll_loss_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12291 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & output, at::Tensor & total_weight) { |
| 12292 | return at::_ops::nll_loss_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12293 | } |
| 12294 | |
| 12295 | // aten::nll_loss_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12296 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss_forward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & total_weight, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 12297 | return at::_ops::nll_loss_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12298 | } |
| 12299 | |
| 12300 | // aten::nll_loss_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12301 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss_forward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & output, at::Tensor & total_weight) { |
| 12302 | return at::_ops::nll_loss_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12303 | } |
| 12304 | |
| 12305 | // aten::nll_loss_forward(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index) -> (Tensor output, Tensor total_weight) |
| 12306 | inline ::std::tuple<at::Tensor,at::Tensor> nll_loss_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 12307 | return at::_ops::nll_loss_forward::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12308 | } |
| 12309 | |
| 12310 | // aten::nll_loss_forward(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index) -> (Tensor output, Tensor total_weight) |
| 12311 | inline ::std::tuple<at::Tensor,at::Tensor> nll_loss_forward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 12312 | return at::_ops::nll_loss_forward::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12313 | } |
| 12314 | |
| 12315 | // aten::nll_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12316 | inline at::Tensor & nll_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) { |
| 12317 | return at::_ops::nll_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12318 | } |
| 12319 | |
| 12320 | // aten::nll_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12321 | inline at::Tensor & nll_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input) { |
| 12322 | return at::_ops::nll_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12323 | } |
| 12324 | |
| 12325 | // aten::nll_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12326 | inline at::Tensor & nll_loss_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight) { |
| 12327 | return at::_ops::nll_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12328 | } |
| 12329 | |
| 12330 | // aten::nll_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12331 | inline at::Tensor & nll_loss_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input) { |
| 12332 | return at::_ops::nll_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12333 | } |
| 12334 | |
| 12335 | // aten::nll_loss_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight) -> Tensor |
| 12336 | inline at::Tensor nll_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) { |
| 12337 | return at::_ops::nll_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight); |
| 12338 | } |
| 12339 | |
| 12340 | // aten::nll_loss_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight) -> Tensor |
| 12341 | inline at::Tensor nll_loss_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight) { |
| 12342 | return at::_ops::nll_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight); |
| 12343 | } |
| 12344 | |
| 12345 | // aten::nll_loss2d.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12346 | inline at::Tensor & nll_loss2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) { |
| 12347 | return at::_ops::nll_loss2d_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12348 | } |
| 12349 | |
| 12350 | // aten::nll_loss2d.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12351 | inline at::Tensor & nll_loss2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & out) { |
| 12352 | return at::_ops::nll_loss2d_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12353 | } |
| 12354 | |
| 12355 | // aten::nll_loss2d.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12356 | inline at::Tensor & nll_loss2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100) { |
| 12357 | return at::_ops::nll_loss2d_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12358 | } |
| 12359 | |
| 12360 | // aten::nll_loss2d.out(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100, *, Tensor(a!) out) -> Tensor(a!) |
| 12361 | inline at::Tensor & nll_loss2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & out) { |
| 12362 | return at::_ops::nll_loss2d_out::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, out); |
| 12363 | } |
| 12364 | |
| 12365 | // aten::nll_loss2d(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100) -> Tensor |
| 12366 | inline at::Tensor nll_loss2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, int64_t ignore_index=-100) { |
| 12367 | return at::_ops::nll_loss2d::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12368 | } |
| 12369 | |
| 12370 | // aten::nll_loss2d(Tensor self, Tensor target, Tensor? weight=None, int reduction=Mean, SymInt ignore_index=-100) -> Tensor |
| 12371 | inline at::Tensor nll_loss2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, int64_t reduction=at::Reduction::Mean, c10::SymInt ignore_index=-100) { |
| 12372 | return at::_ops::nll_loss2d::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12373 | } |
| 12374 | |
| 12375 | // aten::nll_loss2d_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12376 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss2d_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & total_weight, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 12377 | return at::_ops::nll_loss2d_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12378 | } |
| 12379 | |
| 12380 | // aten::nll_loss2d_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12381 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss2d_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & output, at::Tensor & total_weight) { |
| 12382 | return at::_ops::nll_loss2d_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12383 | } |
| 12384 | |
| 12385 | // aten::nll_loss2d_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12386 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss2d_forward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & total_weight, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 12387 | return at::_ops::nll_loss2d_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12388 | } |
| 12389 | |
| 12390 | // aten::nll_loss2d_forward.output(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, *, Tensor(a!) output, Tensor(b!) total_weight) -> (Tensor(a!), Tensor(b!)) |
| 12391 | inline ::std::tuple<at::Tensor &,at::Tensor &> nll_loss2d_forward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & output, at::Tensor & total_weight) { |
| 12392 | return at::_ops::nll_loss2d_forward_output::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index, output, total_weight); |
| 12393 | } |
| 12394 | |
| 12395 | // aten::nll_loss2d_forward(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index) -> (Tensor output, Tensor total_weight) |
| 12396 | inline ::std::tuple<at::Tensor,at::Tensor> nll_loss2d_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 12397 | return at::_ops::nll_loss2d_forward::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12398 | } |
| 12399 | |
| 12400 | // aten::nll_loss2d_forward(Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index) -> (Tensor output, Tensor total_weight) |
| 12401 | inline ::std::tuple<at::Tensor,at::Tensor> nll_loss2d_forward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 12402 | return at::_ops::nll_loss2d_forward::redispatch(dispatchKeySet, self, target, weight, reduction, ignore_index); |
| 12403 | } |
| 12404 | |
| 12405 | // aten::nll_loss2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12406 | inline at::Tensor & nll_loss2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) { |
| 12407 | return at::_ops::nll_loss2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12408 | } |
| 12409 | |
| 12410 | // aten::nll_loss2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12411 | inline at::Tensor & nll_loss2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input) { |
| 12412 | return at::_ops::nll_loss2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12413 | } |
| 12414 | |
| 12415 | // aten::nll_loss2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12416 | inline at::Tensor & nll_loss2d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight) { |
| 12417 | return at::_ops::nll_loss2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12418 | } |
| 12419 | |
| 12420 | // aten::nll_loss2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12421 | inline at::Tensor & nll_loss2d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight, at::Tensor & grad_input) { |
| 12422 | return at::_ops::nll_loss2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight, grad_input); |
| 12423 | } |
| 12424 | |
| 12425 | // aten::nll_loss2d_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight) -> Tensor |
| 12426 | inline at::Tensor nll_loss2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, const at::Tensor & total_weight) { |
| 12427 | return at::_ops::nll_loss2d_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight); |
| 12428 | } |
| 12429 | |
| 12430 | // aten::nll_loss2d_backward(Tensor grad_output, Tensor self, Tensor target, Tensor? weight, int reduction, SymInt ignore_index, Tensor total_weight) -> Tensor |
| 12431 | inline at::Tensor nll_loss2d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, const at::Tensor & total_weight) { |
| 12432 | return at::_ops::nll_loss2d_backward::redispatch(dispatchKeySet, grad_output, self, target, weight, reduction, ignore_index, total_weight); |
| 12433 | } |
| 12434 | |
| 12435 | // aten::smooth_l1_loss.out(Tensor self, Tensor target, int reduction=Mean, float beta=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 12436 | inline at::Tensor & smooth_l1_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double beta=1.0) { |
| 12437 | return at::_ops::smooth_l1_loss_out::redispatch(dispatchKeySet, self, target, reduction, beta, out); |
| 12438 | } |
| 12439 | |
| 12440 | // aten::smooth_l1_loss.out(Tensor self, Tensor target, int reduction=Mean, float beta=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 12441 | inline at::Tensor & smooth_l1_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta, at::Tensor & out) { |
| 12442 | return at::_ops::smooth_l1_loss_out::redispatch(dispatchKeySet, self, target, reduction, beta, out); |
| 12443 | } |
| 12444 | |
| 12445 | // aten::smooth_l1_loss(Tensor self, Tensor target, int reduction=Mean, float beta=1.0) -> Tensor |
| 12446 | inline at::Tensor smooth_l1_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double beta=1.0) { |
| 12447 | return at::_ops::smooth_l1_loss::redispatch(dispatchKeySet, self, target, reduction, beta); |
| 12448 | } |
| 12449 | |
| 12450 | // aten::smooth_l1_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, float beta, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12451 | inline at::Tensor & smooth_l1_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta) { |
| 12452 | return at::_ops::smooth_l1_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, beta, grad_input); |
| 12453 | } |
| 12454 | |
| 12455 | // aten::smooth_l1_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, float beta, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12456 | inline at::Tensor & smooth_l1_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta, at::Tensor & grad_input) { |
| 12457 | return at::_ops::smooth_l1_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, beta, grad_input); |
| 12458 | } |
| 12459 | |
| 12460 | // aten::smooth_l1_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction, float beta) -> Tensor |
| 12461 | inline at::Tensor smooth_l1_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double beta) { |
| 12462 | return at::_ops::smooth_l1_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction, beta); |
| 12463 | } |
| 12464 | |
| 12465 | // aten::huber_loss.out(Tensor self, Tensor target, int reduction=Mean, float delta=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 12466 | inline at::Tensor & huber_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double delta=1.0) { |
| 12467 | return at::_ops::huber_loss_out::redispatch(dispatchKeySet, self, target, reduction, delta, out); |
| 12468 | } |
| 12469 | |
| 12470 | // aten::huber_loss.out(Tensor self, Tensor target, int reduction=Mean, float delta=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 12471 | inline at::Tensor & huber_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta, at::Tensor & out) { |
| 12472 | return at::_ops::huber_loss_out::redispatch(dispatchKeySet, self, target, reduction, delta, out); |
| 12473 | } |
| 12474 | |
| 12475 | // aten::huber_loss(Tensor self, Tensor target, int reduction=Mean, float delta=1.0) -> Tensor |
| 12476 | inline at::Tensor huber_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean, double delta=1.0) { |
| 12477 | return at::_ops::huber_loss::redispatch(dispatchKeySet, self, target, reduction, delta); |
| 12478 | } |
| 12479 | |
| 12480 | // aten::huber_loss_backward.out(Tensor grad_output, Tensor self, Tensor target, int reduction, float delta, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12481 | inline at::Tensor & huber_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta) { |
| 12482 | return at::_ops::huber_loss_backward_out::redispatch(dispatchKeySet, grad_output, self, target, reduction, delta, grad_input); |
| 12483 | } |
| 12484 | |
| 12485 | // aten::huber_loss_backward.out(Tensor grad_output, Tensor self, Tensor target, int reduction, float delta, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12486 | inline at::Tensor & huber_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta, at::Tensor & grad_input) { |
| 12487 | return at::_ops::huber_loss_backward_out::redispatch(dispatchKeySet, grad_output, self, target, reduction, delta, grad_input); |
| 12488 | } |
| 12489 | |
| 12490 | // aten::huber_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction, float delta) -> Tensor |
| 12491 | inline at::Tensor huber_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, double delta) { |
| 12492 | return at::_ops::huber_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction, delta); |
| 12493 | } |
| 12494 | |
| 12495 | // aten::soft_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12496 | inline at::Tensor & soft_margin_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) { |
| 12497 | return at::_ops::soft_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out); |
| 12498 | } |
| 12499 | |
| 12500 | // aten::soft_margin_loss.out(Tensor self, Tensor target, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 12501 | inline at::Tensor & soft_margin_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) { |
| 12502 | return at::_ops::soft_margin_loss_out::redispatch(dispatchKeySet, self, target, reduction, out); |
| 12503 | } |
| 12504 | |
| 12505 | // aten::soft_margin_loss(Tensor self, Tensor target, int reduction=Mean) -> Tensor |
| 12506 | inline at::Tensor soft_margin_loss(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, int64_t reduction=at::Reduction::Mean) { |
| 12507 | return at::_ops::soft_margin_loss::redispatch(dispatchKeySet, self, target, reduction); |
| 12508 | } |
| 12509 | |
| 12510 | // aten::soft_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12511 | inline at::Tensor & soft_margin_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 12512 | return at::_ops::soft_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input); |
| 12513 | } |
| 12514 | |
| 12515 | // aten::soft_margin_loss_backward.grad_input(Tensor grad_output, Tensor self, Tensor target, int reduction, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12516 | inline at::Tensor & soft_margin_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & grad_input) { |
| 12517 | return at::_ops::soft_margin_loss_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, target, reduction, grad_input); |
| 12518 | } |
| 12519 | |
| 12520 | // aten::soft_margin_loss_backward(Tensor grad_output, Tensor self, Tensor target, int reduction) -> Tensor |
| 12521 | inline at::Tensor soft_margin_loss_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 12522 | return at::_ops::soft_margin_loss_backward::redispatch(dispatchKeySet, grad_output, self, target, reduction); |
| 12523 | } |
| 12524 | |
| 12525 | // aten::elu.out(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1, *, Tensor(a!) out) -> Tensor(a!) |
| 12526 | inline at::Tensor & elu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1) { |
| 12527 | return at::_ops::elu_out::redispatch(dispatchKeySet, self, alpha, scale, input_scale, out); |
| 12528 | } |
| 12529 | |
| 12530 | // aten::elu.out(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1, *, Tensor(a!) out) -> Tensor(a!) |
| 12531 | inline at::Tensor & elu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, at::Tensor & out) { |
| 12532 | return at::_ops::elu_out::redispatch(dispatchKeySet, self, alpha, scale, input_scale, out); |
| 12533 | } |
| 12534 | |
| 12535 | // aten::elu(Tensor self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> Tensor |
| 12536 | inline at::Tensor elu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1) { |
| 12537 | return at::_ops::elu::redispatch(dispatchKeySet, self, alpha, scale, input_scale); |
| 12538 | } |
| 12539 | |
| 12540 | // aten::elu_backward.grad_input(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, bool is_result, Tensor self_or_result, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12541 | inline at::Tensor & elu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result) { |
| 12542 | return at::_ops::elu_backward_grad_input::redispatch(dispatchKeySet, grad_output, alpha, scale, input_scale, is_result, self_or_result, grad_input); |
| 12543 | } |
| 12544 | |
| 12545 | // aten::elu_backward.grad_input(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, bool is_result, Tensor self_or_result, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12546 | inline at::Tensor & elu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result, at::Tensor & grad_input) { |
| 12547 | return at::_ops::elu_backward_grad_input::redispatch(dispatchKeySet, grad_output, alpha, scale, input_scale, is_result, self_or_result, grad_input); |
| 12548 | } |
| 12549 | |
| 12550 | // aten::elu_backward(Tensor grad_output, Scalar alpha, Scalar scale, Scalar input_scale, bool is_result, Tensor self_or_result) -> Tensor |
| 12551 | inline at::Tensor elu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Scalar & alpha, const at::Scalar & scale, const at::Scalar & input_scale, bool is_result, const at::Tensor & self_or_result) { |
| 12552 | return at::_ops::elu_backward::redispatch(dispatchKeySet, grad_output, alpha, scale, input_scale, is_result, self_or_result); |
| 12553 | } |
| 12554 | |
| 12555 | // aten::elu_(Tensor(a!) self, Scalar alpha=1, Scalar scale=1, Scalar input_scale=1) -> Tensor(a!) |
| 12556 | inline at::Tensor & elu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & alpha=1, const at::Scalar & scale=1, const at::Scalar & input_scale=1) { |
| 12557 | return at::_ops::elu_::redispatch(dispatchKeySet, self, alpha, scale, input_scale); |
| 12558 | } |
| 12559 | |
| 12560 | // aten::glu.out(Tensor self, int dim=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 12561 | inline at::Tensor & glu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim=-1) { |
| 12562 | return at::_ops::glu_out::redispatch(dispatchKeySet, self, dim, out); |
| 12563 | } |
| 12564 | |
| 12565 | // aten::glu.out(Tensor self, int dim=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 12566 | inline at::Tensor & glu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) { |
| 12567 | return at::_ops::glu_out::redispatch(dispatchKeySet, self, dim, out); |
| 12568 | } |
| 12569 | |
| 12570 | // aten::glu(Tensor self, int dim=-1) -> Tensor |
| 12571 | inline at::Tensor glu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=-1) { |
| 12572 | return at::_ops::glu::redispatch(dispatchKeySet, self, dim); |
| 12573 | } |
| 12574 | |
| 12575 | // aten::glu_backward.grad_input(Tensor grad_output, Tensor self, int dim, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12576 | inline at::Tensor & glu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim) { |
| 12577 | return at::_ops::glu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, dim, grad_input); |
| 12578 | } |
| 12579 | |
| 12580 | // aten::glu_backward.grad_input(Tensor grad_output, Tensor self, int dim, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12581 | inline at::Tensor & glu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim, at::Tensor & grad_input) { |
| 12582 | return at::_ops::glu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, dim, grad_input); |
| 12583 | } |
| 12584 | |
| 12585 | // aten::glu_backward(Tensor grad_output, Tensor self, int dim) -> Tensor |
| 12586 | inline at::Tensor glu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, int64_t dim) { |
| 12587 | return at::_ops::glu_backward::redispatch(dispatchKeySet, grad_output, self, dim); |
| 12588 | } |
| 12589 | |
| 12590 | // aten::glu_jvp(Tensor glu, Tensor x, Tensor dx, int dim) -> Tensor |
| 12591 | inline at::Tensor glu_jvp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & glu, const at::Tensor & x, const at::Tensor & dx, int64_t dim) { |
| 12592 | return at::_ops::glu_jvp::redispatch(dispatchKeySet, glu, x, dx, dim); |
| 12593 | } |
| 12594 | |
| 12595 | // aten::glu_backward_jvp(Tensor grad_x, Tensor grad_glu, Tensor x, Tensor dgrad_glu, Tensor dx, int dim) -> Tensor |
| 12596 | inline at::Tensor glu_backward_jvp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_x, const at::Tensor & grad_glu, const at::Tensor & x, const at::Tensor & dgrad_glu, const at::Tensor & dx, int64_t dim) { |
| 12597 | return at::_ops::glu_backward_jvp::redispatch(dispatchKeySet, grad_x, grad_glu, x, dgrad_glu, dx, dim); |
| 12598 | } |
| 12599 | |
| 12600 | // aten::hardsigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 12601 | inline at::Tensor & hardsigmoid_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 12602 | return at::_ops::hardsigmoid_out::redispatch(dispatchKeySet, self, out); |
| 12603 | } |
| 12604 | |
| 12605 | // aten::hardsigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 12606 | inline at::Tensor & hardsigmoid_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 12607 | return at::_ops::hardsigmoid_out::redispatch(dispatchKeySet, self, out); |
| 12608 | } |
| 12609 | |
| 12610 | // aten::hardsigmoid(Tensor self) -> Tensor |
| 12611 | inline at::Tensor hardsigmoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 12612 | return at::_ops::hardsigmoid::redispatch(dispatchKeySet, self); |
| 12613 | } |
| 12614 | |
| 12615 | // aten::hardsigmoid_(Tensor(a!) self) -> Tensor(a!) |
| 12616 | inline at::Tensor & hardsigmoid_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 12617 | return at::_ops::hardsigmoid_::redispatch(dispatchKeySet, self); |
| 12618 | } |
| 12619 | |
| 12620 | // aten::hardsigmoid_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12621 | inline at::Tensor & hardsigmoid_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self) { |
| 12622 | return at::_ops::hardsigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input); |
| 12623 | } |
| 12624 | |
| 12625 | // aten::hardsigmoid_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12626 | inline at::Tensor & hardsigmoid_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input) { |
| 12627 | return at::_ops::hardsigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input); |
| 12628 | } |
| 12629 | |
| 12630 | // aten::hardsigmoid_backward(Tensor grad_output, Tensor self) -> Tensor |
| 12631 | inline at::Tensor hardsigmoid_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) { |
| 12632 | return at::_ops::hardsigmoid_backward::redispatch(dispatchKeySet, grad_output, self); |
| 12633 | } |
| 12634 | |
| 12635 | // aten::hardtanh.out(Tensor self, Scalar min_val=-1, Scalar max_val=1, *, Tensor(a!) out) -> Tensor(a!) |
| 12636 | inline at::Tensor & hardtanh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & min_val=-1, const at::Scalar & max_val=1) { |
| 12637 | return at::_ops::hardtanh_out::redispatch(dispatchKeySet, self, min_val, max_val, out); |
| 12638 | } |
| 12639 | |
| 12640 | // aten::hardtanh.out(Tensor self, Scalar min_val=-1, Scalar max_val=1, *, Tensor(a!) out) -> Tensor(a!) |
| 12641 | inline at::Tensor & hardtanh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val, at::Tensor & out) { |
| 12642 | return at::_ops::hardtanh_out::redispatch(dispatchKeySet, self, min_val, max_val, out); |
| 12643 | } |
| 12644 | |
| 12645 | // aten::hardtanh(Tensor self, Scalar min_val=-1, Scalar max_val=1) -> Tensor |
| 12646 | inline at::Tensor hardtanh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & min_val=-1, const at::Scalar & max_val=1) { |
| 12647 | return at::_ops::hardtanh::redispatch(dispatchKeySet, self, min_val, max_val); |
| 12648 | } |
| 12649 | |
| 12650 | // aten::hardtanh_backward.grad_input(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12651 | inline at::Tensor & hardtanh_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val) { |
| 12652 | return at::_ops::hardtanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, min_val, max_val, grad_input); |
| 12653 | } |
| 12654 | |
| 12655 | // aten::hardtanh_backward.grad_input(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12656 | inline at::Tensor & hardtanh_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val, at::Tensor & grad_input) { |
| 12657 | return at::_ops::hardtanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, min_val, max_val, grad_input); |
| 12658 | } |
| 12659 | |
| 12660 | // aten::hardtanh_backward(Tensor grad_output, Tensor self, Scalar min_val, Scalar max_val) -> Tensor |
| 12661 | inline at::Tensor hardtanh_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & min_val, const at::Scalar & max_val) { |
| 12662 | return at::_ops::hardtanh_backward::redispatch(dispatchKeySet, grad_output, self, min_val, max_val); |
| 12663 | } |
| 12664 | |
| 12665 | // aten::hardtanh_(Tensor(a!) self, Scalar min_val=-1, Scalar max_val=1) -> Tensor(a!) |
| 12666 | inline at::Tensor & hardtanh_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & min_val=-1, const at::Scalar & max_val=1) { |
| 12667 | return at::_ops::hardtanh_::redispatch(dispatchKeySet, self, min_val, max_val); |
| 12668 | } |
| 12669 | |
| 12670 | // aten::hardswish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 12671 | inline at::Tensor & hardswish_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 12672 | return at::_ops::hardswish_out::redispatch(dispatchKeySet, self, out); |
| 12673 | } |
| 12674 | |
| 12675 | // aten::hardswish.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 12676 | inline at::Tensor & hardswish_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 12677 | return at::_ops::hardswish_out::redispatch(dispatchKeySet, self, out); |
| 12678 | } |
| 12679 | |
| 12680 | // aten::hardswish(Tensor self) -> Tensor |
| 12681 | inline at::Tensor hardswish(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 12682 | return at::_ops::hardswish::redispatch(dispatchKeySet, self); |
| 12683 | } |
| 12684 | |
| 12685 | // aten::hardswish_(Tensor(a!) self) -> Tensor(a!) |
| 12686 | inline at::Tensor & hardswish_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self) { |
| 12687 | return at::_ops::hardswish_::redispatch(dispatchKeySet, self); |
| 12688 | } |
| 12689 | |
| 12690 | // aten::hardswish_backward(Tensor grad_output, Tensor self) -> Tensor |
| 12691 | inline at::Tensor hardswish_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) { |
| 12692 | return at::_ops::hardswish_backward::redispatch(dispatchKeySet, grad_output, self); |
| 12693 | } |
| 12694 | |
| 12695 | // aten::leaky_relu.out(Tensor self, Scalar negative_slope=0.01, *, Tensor(a!) out) -> Tensor(a!) |
| 12696 | inline at::Tensor & leaky_relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & negative_slope=0.01) { |
| 12697 | return at::_ops::leaky_relu_out::redispatch(dispatchKeySet, self, negative_slope, out); |
| 12698 | } |
| 12699 | |
| 12700 | // aten::leaky_relu.out(Tensor self, Scalar negative_slope=0.01, *, Tensor(a!) out) -> Tensor(a!) |
| 12701 | inline at::Tensor & leaky_relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & negative_slope, at::Tensor & out) { |
| 12702 | return at::_ops::leaky_relu_out::redispatch(dispatchKeySet, self, negative_slope, out); |
| 12703 | } |
| 12704 | |
| 12705 | // aten::leaky_relu(Tensor self, Scalar negative_slope=0.01) -> Tensor |
| 12706 | inline at::Tensor leaky_relu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & negative_slope=0.01) { |
| 12707 | return at::_ops::leaky_relu::redispatch(dispatchKeySet, self, negative_slope); |
| 12708 | } |
| 12709 | |
| 12710 | // aten::leaky_relu_backward.grad_input(Tensor grad_output, Tensor self, Scalar negative_slope, bool self_is_result, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12711 | inline at::Tensor & leaky_relu_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result) { |
| 12712 | return at::_ops::leaky_relu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, negative_slope, self_is_result, grad_input); |
| 12713 | } |
| 12714 | |
| 12715 | // aten::leaky_relu_backward.grad_input(Tensor grad_output, Tensor self, Scalar negative_slope, bool self_is_result, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12716 | inline at::Tensor & leaky_relu_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result, at::Tensor & grad_input) { |
| 12717 | return at::_ops::leaky_relu_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, negative_slope, self_is_result, grad_input); |
| 12718 | } |
| 12719 | |
| 12720 | // aten::leaky_relu_backward(Tensor grad_output, Tensor self, Scalar negative_slope, bool self_is_result) -> Tensor |
| 12721 | inline at::Tensor leaky_relu_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & negative_slope, bool self_is_result) { |
| 12722 | return at::_ops::leaky_relu_backward::redispatch(dispatchKeySet, grad_output, self, negative_slope, self_is_result); |
| 12723 | } |
| 12724 | |
| 12725 | // aten::leaky_relu_(Tensor(a!) self, Scalar negative_slope=0.01) -> Tensor(a!) |
| 12726 | inline at::Tensor & leaky_relu_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & negative_slope=0.01) { |
| 12727 | return at::_ops::leaky_relu_::redispatch(dispatchKeySet, self, negative_slope); |
| 12728 | } |
| 12729 | |
| 12730 | // aten::log_sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 12731 | inline at::Tensor & log_sigmoid_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 12732 | return at::_ops::log_sigmoid_out::redispatch(dispatchKeySet, self, out); |
| 12733 | } |
| 12734 | |
| 12735 | // aten::log_sigmoid.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 12736 | inline at::Tensor & log_sigmoid_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 12737 | return at::_ops::log_sigmoid_out::redispatch(dispatchKeySet, self, out); |
| 12738 | } |
| 12739 | |
| 12740 | // aten::log_sigmoid(Tensor self) -> Tensor |
| 12741 | inline at::Tensor log_sigmoid(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 12742 | return at::_ops::log_sigmoid::redispatch(dispatchKeySet, self); |
| 12743 | } |
| 12744 | |
| 12745 | // aten::log_sigmoid_forward.output(Tensor self, *, Tensor(a!) output, Tensor(b!) buffer) -> (Tensor(a!), Tensor(b!)) |
| 12746 | inline ::std::tuple<at::Tensor &,at::Tensor &> log_sigmoid_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & buffer, const at::Tensor & self) { |
| 12747 | return at::_ops::log_sigmoid_forward_output::redispatch(dispatchKeySet, self, output, buffer); |
| 12748 | } |
| 12749 | |
| 12750 | // aten::log_sigmoid_forward.output(Tensor self, *, Tensor(a!) output, Tensor(b!) buffer) -> (Tensor(a!), Tensor(b!)) |
| 12751 | inline ::std::tuple<at::Tensor &,at::Tensor &> log_sigmoid_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & output, at::Tensor & buffer) { |
| 12752 | return at::_ops::log_sigmoid_forward_output::redispatch(dispatchKeySet, self, output, buffer); |
| 12753 | } |
| 12754 | |
| 12755 | // aten::log_sigmoid_forward(Tensor self) -> (Tensor output, Tensor buffer) |
| 12756 | inline ::std::tuple<at::Tensor,at::Tensor> log_sigmoid_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 12757 | return at::_ops::log_sigmoid_forward::redispatch(dispatchKeySet, self); |
| 12758 | } |
| 12759 | |
| 12760 | // aten::log_sigmoid_backward.grad_input(Tensor grad_output, Tensor self, Tensor buffer, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12761 | inline at::Tensor & log_sigmoid_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer) { |
| 12762 | return at::_ops::log_sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, buffer, grad_input); |
| 12763 | } |
| 12764 | |
| 12765 | // aten::log_sigmoid_backward.grad_input(Tensor grad_output, Tensor self, Tensor buffer, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12766 | inline at::Tensor & log_sigmoid_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer, at::Tensor & grad_input) { |
| 12767 | return at::_ops::log_sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, buffer, grad_input); |
| 12768 | } |
| 12769 | |
| 12770 | // aten::log_sigmoid_backward(Tensor grad_output, Tensor self, Tensor buffer) -> Tensor |
| 12771 | inline at::Tensor log_sigmoid_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & buffer) { |
| 12772 | return at::_ops::log_sigmoid_backward::redispatch(dispatchKeySet, grad_output, self, buffer); |
| 12773 | } |
| 12774 | |
| 12775 | // aten::rrelu_with_noise.out(Tensor self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 12776 | inline at::Tensor & rrelu_with_noise_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) { |
| 12777 | return at::_ops::rrelu_with_noise_out::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator, out); |
| 12778 | } |
| 12779 | |
| 12780 | // aten::rrelu_with_noise.out(Tensor self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 12781 | inline at::Tensor & rrelu_with_noise_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower, const at::Scalar & upper, bool training, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 12782 | return at::_ops::rrelu_with_noise_out::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator, out); |
| 12783 | } |
| 12784 | |
| 12785 | // aten::rrelu_with_noise(Tensor self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor |
| 12786 | inline at::Tensor rrelu_with_noise(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) { |
| 12787 | return at::_ops::rrelu_with_noise::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator); |
| 12788 | } |
| 12789 | |
| 12790 | // aten::rrelu_with_noise_backward(Tensor grad_output, Tensor self, Tensor noise, Scalar lower, Scalar upper, bool training, bool self_is_result) -> Tensor |
| 12791 | inline at::Tensor rrelu_with_noise_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower, const at::Scalar & upper, bool training, bool self_is_result) { |
| 12792 | return at::_ops::rrelu_with_noise_backward::redispatch(dispatchKeySet, grad_output, self, noise, lower, upper, training, self_is_result); |
| 12793 | } |
| 12794 | |
| 12795 | // aten::rrelu_with_noise_(Tensor(a!) self, Tensor noise, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor(a!) |
| 12796 | inline at::Tensor & rrelu_with_noise_(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower=0.125, const at::Scalar & upper=0.3333333333333333, bool training=false, c10::optional<at::Generator> generator=c10::nullopt) { |
| 12797 | return at::_ops::rrelu_with_noise_::redispatch(dispatchKeySet, self, noise, lower, upper, training, generator); |
| 12798 | } |
| 12799 | |
| 12800 | // aten::softplus.out(Tensor self, Scalar beta=1, Scalar threshold=20, *, Tensor(a!) out) -> Tensor(a!) |
| 12801 | inline at::Tensor & softplus_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & beta=1, const at::Scalar & threshold=20) { |
| 12802 | return at::_ops::softplus_out::redispatch(dispatchKeySet, self, beta, threshold, out); |
| 12803 | } |
| 12804 | |
| 12805 | // aten::softplus.out(Tensor self, Scalar beta=1, Scalar threshold=20, *, Tensor(a!) out) -> Tensor(a!) |
| 12806 | inline at::Tensor & softplus_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, at::Tensor & out) { |
| 12807 | return at::_ops::softplus_out::redispatch(dispatchKeySet, self, beta, threshold, out); |
| 12808 | } |
| 12809 | |
| 12810 | // aten::softplus(Tensor self, Scalar beta=1, Scalar threshold=20) -> Tensor |
| 12811 | inline at::Tensor softplus(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & beta=1, const at::Scalar & threshold=20) { |
| 12812 | return at::_ops::softplus::redispatch(dispatchKeySet, self, beta, threshold); |
| 12813 | } |
| 12814 | |
| 12815 | // aten::softplus_backward.grad_input(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12816 | inline at::Tensor & softplus_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold) { |
| 12817 | return at::_ops::softplus_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, beta, threshold, grad_input); |
| 12818 | } |
| 12819 | |
| 12820 | // aten::softplus_backward.grad_input(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12821 | inline at::Tensor & softplus_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold, at::Tensor & grad_input) { |
| 12822 | return at::_ops::softplus_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, beta, threshold, grad_input); |
| 12823 | } |
| 12824 | |
| 12825 | // aten::softplus_backward(Tensor grad_output, Tensor self, Scalar beta, Scalar threshold) -> Tensor |
| 12826 | inline at::Tensor softplus_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & beta, const at::Scalar & threshold) { |
| 12827 | return at::_ops::softplus_backward::redispatch(dispatchKeySet, grad_output, self, beta, threshold); |
| 12828 | } |
| 12829 | |
| 12830 | // aten::softshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!) |
| 12831 | inline at::Tensor & softshrink_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & lambd=0.5) { |
| 12832 | return at::_ops::softshrink_out::redispatch(dispatchKeySet, self, lambd, out); |
| 12833 | } |
| 12834 | |
| 12835 | // aten::softshrink.out(Tensor self, Scalar lambd=0.5, *, Tensor(a!) out) -> Tensor(a!) |
| 12836 | inline at::Tensor & softshrink_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & out) { |
| 12837 | return at::_ops::softshrink_out::redispatch(dispatchKeySet, self, lambd, out); |
| 12838 | } |
| 12839 | |
| 12840 | // aten::softshrink(Tensor self, Scalar lambd=0.5) -> Tensor |
| 12841 | inline at::Tensor softshrink(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lambd=0.5) { |
| 12842 | return at::_ops::softshrink::redispatch(dispatchKeySet, self, lambd); |
| 12843 | } |
| 12844 | |
| 12845 | // aten::softshrink_backward.grad_input(Tensor grad_output, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12846 | inline at::Tensor & softshrink_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd) { |
| 12847 | return at::_ops::softshrink_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, lambd, grad_input); |
| 12848 | } |
| 12849 | |
| 12850 | // aten::softshrink_backward.grad_input(Tensor grad_output, Tensor self, Scalar lambd, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12851 | inline at::Tensor & softshrink_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd, at::Tensor & grad_input) { |
| 12852 | return at::_ops::softshrink_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, lambd, grad_input); |
| 12853 | } |
| 12854 | |
| 12855 | // aten::softshrink_backward(Tensor grad_output, Tensor self, Scalar lambd) -> Tensor |
| 12856 | inline at::Tensor softshrink_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Scalar & lambd) { |
| 12857 | return at::_ops::softshrink_backward::redispatch(dispatchKeySet, grad_output, self, lambd); |
| 12858 | } |
| 12859 | |
| 12860 | // aten::adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12861 | inline at::Tensor & adaptive_avg_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12862 | return at::_ops::adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 12863 | } |
| 12864 | |
| 12865 | // aten::adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12866 | inline at::Tensor & adaptive_avg_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) { |
| 12867 | return at::_ops::adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 12868 | } |
| 12869 | |
| 12870 | // aten::adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12871 | inline at::Tensor & adaptive_avg_pool2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 12872 | return at::_ops::adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 12873 | } |
| 12874 | |
| 12875 | // aten::adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12876 | inline at::Tensor & adaptive_avg_pool2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, at::Tensor & out) { |
| 12877 | return at::_ops::adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 12878 | } |
| 12879 | |
| 12880 | // aten::adaptive_avg_pool2d(Tensor self, SymInt[2] output_size) -> Tensor |
| 12881 | inline at::Tensor adaptive_avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12882 | return at::_ops::adaptive_avg_pool2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size)); |
| 12883 | } |
| 12884 | |
| 12885 | // aten::adaptive_avg_pool2d(Tensor self, SymInt[2] output_size) -> Tensor |
| 12886 | inline at::Tensor adaptive_avg_pool2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 12887 | return at::_ops::adaptive_avg_pool2d::redispatch(dispatchKeySet, self, output_size); |
| 12888 | } |
| 12889 | |
| 12890 | // aten::mkldnn_adaptive_avg_pool2d(Tensor self, int[2] output_size) -> Tensor |
| 12891 | inline at::Tensor mkldnn_adaptive_avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12892 | return at::_ops::mkldnn_adaptive_avg_pool2d::redispatch(dispatchKeySet, self, output_size); |
| 12893 | } |
| 12894 | |
| 12895 | // aten::mkldnn_adaptive_avg_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12896 | inline at::Tensor & mkldnn_adaptive_avg_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12897 | return at::_ops::mkldnn_adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 12898 | } |
| 12899 | |
| 12900 | // aten::mkldnn_adaptive_avg_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12901 | inline at::Tensor & mkldnn_adaptive_avg_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) { |
| 12902 | return at::_ops::mkldnn_adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 12903 | } |
| 12904 | |
| 12905 | // aten::mkldnn_adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self) -> Tensor |
| 12906 | inline at::Tensor mkldnn_adaptive_avg_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) { |
| 12907 | return at::_ops::mkldnn_adaptive_avg_pool2d_backward::redispatch(dispatchKeySet, grad_output, self); |
| 12908 | } |
| 12909 | |
| 12910 | // aten::_adaptive_avg_pool2d(Tensor self, SymInt[2] output_size) -> Tensor |
| 12911 | inline at::Tensor _adaptive_avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12912 | return at::_ops::_adaptive_avg_pool2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size)); |
| 12913 | } |
| 12914 | |
| 12915 | // aten::_adaptive_avg_pool2d(Tensor self, SymInt[2] output_size) -> Tensor |
| 12916 | inline at::Tensor _adaptive_avg_pool2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 12917 | return at::_ops::_adaptive_avg_pool2d::redispatch(dispatchKeySet, self, output_size); |
| 12918 | } |
| 12919 | |
| 12920 | // aten::_adaptive_avg_pool2d_backward(Tensor grad_output, Tensor self) -> Tensor |
| 12921 | inline at::Tensor _adaptive_avg_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) { |
| 12922 | return at::_ops::_adaptive_avg_pool2d_backward::redispatch(dispatchKeySet, grad_output, self); |
| 12923 | } |
| 12924 | |
| 12925 | // aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12926 | inline at::Tensor & adaptive_avg_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12927 | return at::_ops::adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 12928 | } |
| 12929 | |
| 12930 | // aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12931 | inline at::Tensor & adaptive_avg_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) { |
| 12932 | return at::_ops::adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 12933 | } |
| 12934 | |
| 12935 | // aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12936 | inline at::Tensor & adaptive_avg_pool3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 12937 | return at::_ops::adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 12938 | } |
| 12939 | |
| 12940 | // aten::adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 12941 | inline at::Tensor & adaptive_avg_pool3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, at::Tensor & out) { |
| 12942 | return at::_ops::adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 12943 | } |
| 12944 | |
| 12945 | // aten::adaptive_avg_pool3d(Tensor self, SymInt[3] output_size) -> Tensor |
| 12946 | inline at::Tensor adaptive_avg_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12947 | return at::_ops::adaptive_avg_pool3d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size)); |
| 12948 | } |
| 12949 | |
| 12950 | // aten::adaptive_avg_pool3d(Tensor self, SymInt[3] output_size) -> Tensor |
| 12951 | inline at::Tensor adaptive_avg_pool3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 12952 | return at::_ops::adaptive_avg_pool3d::redispatch(dispatchKeySet, self, output_size); |
| 12953 | } |
| 12954 | |
| 12955 | // aten::_adaptive_avg_pool3d(Tensor self, SymInt[3] output_size) -> Tensor |
| 12956 | inline at::Tensor _adaptive_avg_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12957 | return at::_ops::_adaptive_avg_pool3d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size)); |
| 12958 | } |
| 12959 | |
| 12960 | // aten::_adaptive_avg_pool3d(Tensor self, SymInt[3] output_size) -> Tensor |
| 12961 | inline at::Tensor _adaptive_avg_pool3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 12962 | return at::_ops::_adaptive_avg_pool3d::redispatch(dispatchKeySet, self, output_size); |
| 12963 | } |
| 12964 | |
| 12965 | // aten::adaptive_avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12966 | inline at::Tensor & adaptive_avg_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self) { |
| 12967 | return at::_ops::adaptive_avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input); |
| 12968 | } |
| 12969 | |
| 12970 | // aten::adaptive_avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12971 | inline at::Tensor & adaptive_avg_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & grad_input) { |
| 12972 | return at::_ops::adaptive_avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, grad_input); |
| 12973 | } |
| 12974 | |
| 12975 | // aten::_adaptive_avg_pool3d_backward(Tensor grad_output, Tensor self) -> Tensor |
| 12976 | inline at::Tensor _adaptive_avg_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self) { |
| 12977 | return at::_ops::_adaptive_avg_pool3d_backward::redispatch(dispatchKeySet, grad_output, self); |
| 12978 | } |
| 12979 | |
| 12980 | // aten::adaptive_max_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 12981 | inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12982 | return at::_ops::adaptive_max_pool2d_out::redispatch(dispatchKeySet, self, output_size, out, indices); |
| 12983 | } |
| 12984 | |
| 12985 | // aten::adaptive_max_pool2d.out(Tensor self, int[2] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 12986 | inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out, at::Tensor & indices) { |
| 12987 | return at::_ops::adaptive_max_pool2d_out::redispatch(dispatchKeySet, self, output_size, out, indices); |
| 12988 | } |
| 12989 | |
| 12990 | // aten::adaptive_max_pool2d(Tensor self, int[2] output_size) -> (Tensor, Tensor) |
| 12991 | inline ::std::tuple<at::Tensor,at::Tensor> adaptive_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 12992 | return at::_ops::adaptive_max_pool2d::redispatch(dispatchKeySet, self, output_size); |
| 12993 | } |
| 12994 | |
| 12995 | // aten::adaptive_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 12996 | inline at::Tensor & adaptive_max_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) { |
| 12997 | return at::_ops::adaptive_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input); |
| 12998 | } |
| 12999 | |
| 13000 | // aten::adaptive_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13001 | inline at::Tensor & adaptive_max_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::Tensor & grad_input) { |
| 13002 | return at::_ops::adaptive_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input); |
| 13003 | } |
| 13004 | |
| 13005 | // aten::adaptive_max_pool2d_backward(Tensor grad_output, Tensor self, Tensor indices) -> Tensor |
| 13006 | inline at::Tensor adaptive_max_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) { |
| 13007 | return at::_ops::adaptive_max_pool2d_backward::redispatch(dispatchKeySet, grad_output, self, indices); |
| 13008 | } |
| 13009 | |
| 13010 | // aten::adaptive_max_pool3d.out(Tensor self, int[3] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13011 | inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef output_size) { |
| 13012 | return at::_ops::adaptive_max_pool3d_out::redispatch(dispatchKeySet, self, output_size, out, indices); |
| 13013 | } |
| 13014 | |
| 13015 | // aten::adaptive_max_pool3d.out(Tensor self, int[3] output_size, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13016 | inline ::std::tuple<at::Tensor &,at::Tensor &> adaptive_max_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out, at::Tensor & indices) { |
| 13017 | return at::_ops::adaptive_max_pool3d_out::redispatch(dispatchKeySet, self, output_size, out, indices); |
| 13018 | } |
| 13019 | |
| 13020 | // aten::adaptive_max_pool3d(Tensor self, int[3] output_size) -> (Tensor, Tensor) |
| 13021 | inline ::std::tuple<at::Tensor,at::Tensor> adaptive_max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size) { |
| 13022 | return at::_ops::adaptive_max_pool3d::redispatch(dispatchKeySet, self, output_size); |
| 13023 | } |
| 13024 | |
| 13025 | // aten::adaptive_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13026 | inline at::Tensor & adaptive_max_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) { |
| 13027 | return at::_ops::adaptive_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input); |
| 13028 | } |
| 13029 | |
| 13030 | // aten::adaptive_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13031 | inline at::Tensor & adaptive_max_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices, at::Tensor & grad_input) { |
| 13032 | return at::_ops::adaptive_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, indices, grad_input); |
| 13033 | } |
| 13034 | |
| 13035 | // aten::adaptive_max_pool3d_backward(Tensor grad_output, Tensor self, Tensor indices) -> Tensor |
| 13036 | inline at::Tensor adaptive_max_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & indices) { |
| 13037 | return at::_ops::adaptive_max_pool3d_backward::redispatch(dispatchKeySet, grad_output, self, indices); |
| 13038 | } |
| 13039 | |
| 13040 | // aten::avg_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13041 | inline at::Tensor & avg_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) { |
| 13042 | return at::_ops::avg_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out); |
| 13043 | } |
| 13044 | |
| 13045 | // aten::avg_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13046 | inline at::Tensor & avg_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & out) { |
| 13047 | return at::_ops::avg_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out); |
| 13048 | } |
| 13049 | |
| 13050 | // aten::avg_pool2d(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor |
| 13051 | inline at::Tensor avg_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) { |
| 13052 | return at::_ops::avg_pool2d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override); |
| 13053 | } |
| 13054 | |
| 13055 | // aten::avg_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13056 | inline at::Tensor & avg_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) { |
| 13057 | return at::_ops::avg_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input); |
| 13058 | } |
| 13059 | |
| 13060 | // aten::avg_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13061 | inline at::Tensor & avg_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & grad_input) { |
| 13062 | return at::_ops::avg_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input); |
| 13063 | } |
| 13064 | |
| 13065 | // aten::avg_pool2d_backward(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, bool ceil_mode, bool count_include_pad, int? divisor_override) -> Tensor |
| 13066 | inline at::Tensor avg_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) { |
| 13067 | return at::_ops::avg_pool2d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override); |
| 13068 | } |
| 13069 | |
| 13070 | // aten::avg_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13071 | inline at::Tensor & avg_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) { |
| 13072 | return at::_ops::avg_pool3d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out); |
| 13073 | } |
| 13074 | |
| 13075 | // aten::avg_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13076 | inline at::Tensor & avg_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & out) { |
| 13077 | return at::_ops::avg_pool3d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, out); |
| 13078 | } |
| 13079 | |
| 13080 | // aten::avg_pool3d(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, bool ceil_mode=False, bool count_include_pad=True, int? divisor_override=None) -> Tensor |
| 13081 | inline at::Tensor avg_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, bool ceil_mode=false, bool count_include_pad=true, c10::optional<int64_t> divisor_override=c10::nullopt) { |
| 13082 | return at::_ops::avg_pool3d::redispatch(dispatchKeySet, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override); |
| 13083 | } |
| 13084 | |
| 13085 | // aten::avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13086 | inline at::Tensor & avg_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) { |
| 13087 | return at::_ops::avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input); |
| 13088 | } |
| 13089 | |
| 13090 | // aten::avg_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, bool ceil_mode, bool count_include_pad, int? divisor_override, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13091 | inline at::Tensor & avg_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override, at::Tensor & grad_input) { |
| 13092 | return at::_ops::avg_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override, grad_input); |
| 13093 | } |
| 13094 | |
| 13095 | // aten::avg_pool3d_backward(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, bool ceil_mode, bool count_include_pad, int? divisor_override) -> Tensor |
| 13096 | inline at::Tensor avg_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad, c10::optional<int64_t> divisor_override) { |
| 13097 | return at::_ops::avg_pool3d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, ceil_mode, count_include_pad, divisor_override); |
| 13098 | } |
| 13099 | |
| 13100 | // aten::fractional_max_pool2d.output(Tensor self, int[2] kernel_size, int[2] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13101 | inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) { |
| 13102 | return at::_ops::fractional_max_pool2d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices); |
| 13103 | } |
| 13104 | |
| 13105 | // aten::fractional_max_pool2d.output(Tensor self, int[2] kernel_size, int[2] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13106 | inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples, at::Tensor & output, at::Tensor & indices) { |
| 13107 | return at::_ops::fractional_max_pool2d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices); |
| 13108 | } |
| 13109 | |
| 13110 | // aten::fractional_max_pool2d(Tensor self, int[2] kernel_size, int[2] output_size, Tensor random_samples) -> (Tensor, Tensor) |
| 13111 | inline ::std::tuple<at::Tensor,at::Tensor> fractional_max_pool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) { |
| 13112 | return at::_ops::fractional_max_pool2d::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples); |
| 13113 | } |
| 13114 | |
| 13115 | // aten::fractional_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13116 | inline at::Tensor & fractional_max_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) { |
| 13117 | return at::_ops::fractional_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input); |
| 13118 | } |
| 13119 | |
| 13120 | // aten::fractional_max_pool2d_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13121 | inline at::Tensor & fractional_max_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices, at::Tensor & grad_input) { |
| 13122 | return at::_ops::fractional_max_pool2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input); |
| 13123 | } |
| 13124 | |
| 13125 | // aten::fractional_max_pool2d_backward(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] output_size, Tensor indices) -> Tensor |
| 13126 | inline at::Tensor fractional_max_pool2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) { |
| 13127 | return at::_ops::fractional_max_pool2d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices); |
| 13128 | } |
| 13129 | |
| 13130 | // aten::fractional_max_pool3d.output(Tensor self, int[3] kernel_size, int[3] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13131 | inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) { |
| 13132 | return at::_ops::fractional_max_pool3d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices); |
| 13133 | } |
| 13134 | |
| 13135 | // aten::fractional_max_pool3d.output(Tensor self, int[3] kernel_size, int[3] output_size, Tensor random_samples, *, Tensor(a!) output, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13136 | inline ::std::tuple<at::Tensor &,at::Tensor &> fractional_max_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples, at::Tensor & output, at::Tensor & indices) { |
| 13137 | return at::_ops::fractional_max_pool3d_output::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples, output, indices); |
| 13138 | } |
| 13139 | |
| 13140 | // aten::fractional_max_pool3d(Tensor self, int[3] kernel_size, int[3] output_size, Tensor random_samples) -> (Tensor, Tensor) |
| 13141 | inline ::std::tuple<at::Tensor,at::Tensor> fractional_max_pool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & random_samples) { |
| 13142 | return at::_ops::fractional_max_pool3d::redispatch(dispatchKeySet, self, kernel_size, output_size, random_samples); |
| 13143 | } |
| 13144 | |
| 13145 | // aten::fractional_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13146 | inline at::Tensor & fractional_max_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) { |
| 13147 | return at::_ops::fractional_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input); |
| 13148 | } |
| 13149 | |
| 13150 | // aten::fractional_max_pool3d_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] output_size, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13151 | inline at::Tensor & fractional_max_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices, at::Tensor & grad_input) { |
| 13152 | return at::_ops::fractional_max_pool3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices, grad_input); |
| 13153 | } |
| 13154 | |
| 13155 | // aten::fractional_max_pool3d_backward(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] output_size, Tensor indices) -> Tensor |
| 13156 | inline at::Tensor fractional_max_pool3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef output_size, const at::Tensor & indices) { |
| 13157 | return at::_ops::fractional_max_pool3d_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, output_size, indices); |
| 13158 | } |
| 13159 | |
| 13160 | // aten::max_pool2d_with_indices.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13161 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool2d_with_indices_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 13162 | return at::_ops::max_pool2d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices); |
| 13163 | } |
| 13164 | |
| 13165 | // aten::max_pool2d_with_indices.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13166 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool2d_with_indices_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out, at::Tensor & indices) { |
| 13167 | return at::_ops::max_pool2d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices); |
| 13168 | } |
| 13169 | |
| 13170 | // aten::max_pool2d_with_indices(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) |
| 13171 | inline ::std::tuple<at::Tensor,at::Tensor> max_pool2d_with_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 13172 | return at::_ops::max_pool2d_with_indices::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 13173 | } |
| 13174 | |
| 13175 | // aten::max_pool2d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13176 | inline at::Tensor & max_pool2d_with_indices_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) { |
| 13177 | return at::_ops::max_pool2d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input); |
| 13178 | } |
| 13179 | |
| 13180 | // aten::max_pool2d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13181 | inline at::Tensor & max_pool2d_with_indices_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices, at::Tensor & grad_input) { |
| 13182 | return at::_ops::max_pool2d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input); |
| 13183 | } |
| 13184 | |
| 13185 | // aten::max_pool2d_with_indices_backward(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride, int[2] padding, int[2] dilation, bool ceil_mode, Tensor indices) -> Tensor |
| 13186 | inline at::Tensor max_pool2d_with_indices_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) { |
| 13187 | return at::_ops::max_pool2d_with_indices_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices); |
| 13188 | } |
| 13189 | |
| 13190 | // aten::max_pool3d_with_indices.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13191 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool3d_with_indices_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 13192 | return at::_ops::max_pool3d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices); |
| 13193 | } |
| 13194 | |
| 13195 | // aten::max_pool3d_with_indices.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out, Tensor(b!) indices) -> (Tensor(a!), Tensor(b!)) |
| 13196 | inline ::std::tuple<at::Tensor &,at::Tensor &> max_pool3d_with_indices_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out, at::Tensor & indices) { |
| 13197 | return at::_ops::max_pool3d_with_indices_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out, indices); |
| 13198 | } |
| 13199 | |
| 13200 | // aten::max_pool3d_with_indices(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False) -> (Tensor, Tensor) |
| 13201 | inline ::std::tuple<at::Tensor,at::Tensor> max_pool3d_with_indices(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 13202 | return at::_ops::max_pool3d_with_indices::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode); |
| 13203 | } |
| 13204 | |
| 13205 | // aten::max_pool3d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13206 | inline at::Tensor & max_pool3d_with_indices_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) { |
| 13207 | return at::_ops::max_pool3d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input); |
| 13208 | } |
| 13209 | |
| 13210 | // aten::max_pool3d_with_indices_backward.grad_input(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool ceil_mode, Tensor indices, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13211 | inline at::Tensor & max_pool3d_with_indices_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices, at::Tensor & grad_input) { |
| 13212 | return at::_ops::max_pool3d_with_indices_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices, grad_input); |
| 13213 | } |
| 13214 | |
| 13215 | // aten::max_pool3d_with_indices_backward(Tensor grad_output, Tensor self, int[3] kernel_size, int[3] stride, int[3] padding, int[3] dilation, bool ceil_mode, Tensor indices) -> Tensor |
| 13216 | inline at::Tensor max_pool3d_with_indices_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, const at::Tensor & indices) { |
| 13217 | return at::_ops::max_pool3d_with_indices_backward::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, indices); |
| 13218 | } |
| 13219 | |
| 13220 | // aten::max_unpool2d.out(Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 13221 | inline at::Tensor & max_unpool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size) { |
| 13222 | return at::_ops::max_unpool2d_out::redispatch(dispatchKeySet, self, indices, output_size, out); |
| 13223 | } |
| 13224 | |
| 13225 | // aten::max_unpool2d.out(Tensor self, Tensor indices, int[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 13226 | inline at::Tensor & max_unpool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::Tensor & out) { |
| 13227 | return at::_ops::max_unpool2d_out::redispatch(dispatchKeySet, self, indices, output_size, out); |
| 13228 | } |
| 13229 | |
| 13230 | // aten::max_unpool2d(Tensor self, Tensor indices, int[2] output_size) -> Tensor |
| 13231 | inline at::Tensor max_unpool2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size) { |
| 13232 | return at::_ops::max_unpool2d::redispatch(dispatchKeySet, self, indices, output_size); |
| 13233 | } |
| 13234 | |
| 13235 | // aten::max_unpool3d.out(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13236 | inline at::Tensor & max_unpool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 13237 | return at::_ops::max_unpool3d_out::redispatch(dispatchKeySet, self, indices, output_size, stride, padding, out); |
| 13238 | } |
| 13239 | |
| 13240 | // aten::max_unpool3d.out(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13241 | inline at::Tensor & max_unpool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & out) { |
| 13242 | return at::_ops::max_unpool3d_out::redispatch(dispatchKeySet, self, indices, output_size, stride, padding, out); |
| 13243 | } |
| 13244 | |
| 13245 | // aten::max_unpool3d(Tensor self, Tensor indices, int[3] output_size, int[3] stride, int[3] padding) -> Tensor |
| 13246 | inline at::Tensor max_unpool3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, at::IntArrayRef output_size, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 13247 | return at::_ops::max_unpool3d::redispatch(dispatchKeySet, self, indices, output_size, stride, padding); |
| 13248 | } |
| 13249 | |
| 13250 | // aten::reflection_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13251 | inline at::Tensor & reflection_pad1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) { |
| 13252 | return at::_ops::reflection_pad1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13253 | } |
| 13254 | |
| 13255 | // aten::reflection_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13256 | inline at::Tensor & reflection_pad1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) { |
| 13257 | return at::_ops::reflection_pad1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13258 | } |
| 13259 | |
| 13260 | // aten::reflection_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13261 | inline at::Tensor & reflection_pad1d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13262 | return at::_ops::reflection_pad1d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13263 | } |
| 13264 | |
| 13265 | // aten::reflection_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13266 | inline at::Tensor & reflection_pad1d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) { |
| 13267 | return at::_ops::reflection_pad1d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13268 | } |
| 13269 | |
| 13270 | // aten::reflection_pad1d(Tensor self, SymInt[2] padding) -> Tensor |
| 13271 | inline at::Tensor reflection_pad1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) { |
| 13272 | return at::_ops::reflection_pad1d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding)); |
| 13273 | } |
| 13274 | |
| 13275 | // aten::reflection_pad1d(Tensor self, SymInt[2] padding) -> Tensor |
| 13276 | inline at::Tensor reflection_pad1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13277 | return at::_ops::reflection_pad1d::redispatch(dispatchKeySet, self, padding); |
| 13278 | } |
| 13279 | |
| 13280 | // aten::reflection_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13281 | inline at::Tensor & reflection_pad1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13282 | return at::_ops::reflection_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13283 | } |
| 13284 | |
| 13285 | // aten::reflection_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13286 | inline at::Tensor & reflection_pad1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) { |
| 13287 | return at::_ops::reflection_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13288 | } |
| 13289 | |
| 13290 | // aten::reflection_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13291 | inline at::Tensor & reflection_pad1d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13292 | return at::_ops::reflection_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13293 | } |
| 13294 | |
| 13295 | // aten::reflection_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13296 | inline at::Tensor & reflection_pad1d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & grad_input) { |
| 13297 | return at::_ops::reflection_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13298 | } |
| 13299 | |
| 13300 | // aten::reflection_pad1d_backward(Tensor grad_output, Tensor self, SymInt[2] padding) -> Tensor |
| 13301 | inline at::Tensor reflection_pad1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13302 | return at::_ops::reflection_pad1d_backward::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding)); |
| 13303 | } |
| 13304 | |
| 13305 | // aten::reflection_pad1d_backward(Tensor grad_output, Tensor self, SymInt[2] padding) -> Tensor |
| 13306 | inline at::Tensor reflection_pad1d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13307 | return at::_ops::reflection_pad1d_backward::redispatch(dispatchKeySet, grad_output, self, padding); |
| 13308 | } |
| 13309 | |
| 13310 | // aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13311 | inline at::Tensor & reflection_pad2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) { |
| 13312 | return at::_ops::reflection_pad2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13313 | } |
| 13314 | |
| 13315 | // aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13316 | inline at::Tensor & reflection_pad2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) { |
| 13317 | return at::_ops::reflection_pad2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13318 | } |
| 13319 | |
| 13320 | // aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13321 | inline at::Tensor & reflection_pad2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13322 | return at::_ops::reflection_pad2d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13323 | } |
| 13324 | |
| 13325 | // aten::reflection_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13326 | inline at::Tensor & reflection_pad2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) { |
| 13327 | return at::_ops::reflection_pad2d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13328 | } |
| 13329 | |
| 13330 | // aten::reflection_pad2d(Tensor self, SymInt[4] padding) -> Tensor |
| 13331 | inline at::Tensor reflection_pad2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) { |
| 13332 | return at::_ops::reflection_pad2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding)); |
| 13333 | } |
| 13334 | |
| 13335 | // aten::reflection_pad2d(Tensor self, SymInt[4] padding) -> Tensor |
| 13336 | inline at::Tensor reflection_pad2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13337 | return at::_ops::reflection_pad2d::redispatch(dispatchKeySet, self, padding); |
| 13338 | } |
| 13339 | |
| 13340 | // aten::reflection_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13341 | inline at::Tensor & reflection_pad2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13342 | return at::_ops::reflection_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13343 | } |
| 13344 | |
| 13345 | // aten::reflection_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13346 | inline at::Tensor & reflection_pad2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) { |
| 13347 | return at::_ops::reflection_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13348 | } |
| 13349 | |
| 13350 | // aten::reflection_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13351 | inline at::Tensor & reflection_pad2d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13352 | return at::_ops::reflection_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13353 | } |
| 13354 | |
| 13355 | // aten::reflection_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13356 | inline at::Tensor & reflection_pad2d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & grad_input) { |
| 13357 | return at::_ops::reflection_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13358 | } |
| 13359 | |
| 13360 | // aten::reflection_pad2d_backward(Tensor grad_output, Tensor self, SymInt[4] padding) -> Tensor |
| 13361 | inline at::Tensor reflection_pad2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13362 | return at::_ops::reflection_pad2d_backward::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding)); |
| 13363 | } |
| 13364 | |
| 13365 | // aten::reflection_pad2d_backward(Tensor grad_output, Tensor self, SymInt[4] padding) -> Tensor |
| 13366 | inline at::Tensor reflection_pad2d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13367 | return at::_ops::reflection_pad2d_backward::redispatch(dispatchKeySet, grad_output, self, padding); |
| 13368 | } |
| 13369 | |
| 13370 | // aten::reflection_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13371 | inline at::Tensor & reflection_pad3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) { |
| 13372 | return at::_ops::reflection_pad3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13373 | } |
| 13374 | |
| 13375 | // aten::reflection_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13376 | inline at::Tensor & reflection_pad3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) { |
| 13377 | return at::_ops::reflection_pad3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13378 | } |
| 13379 | |
| 13380 | // aten::reflection_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13381 | inline at::Tensor & reflection_pad3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13382 | return at::_ops::reflection_pad3d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13383 | } |
| 13384 | |
| 13385 | // aten::reflection_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13386 | inline at::Tensor & reflection_pad3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) { |
| 13387 | return at::_ops::reflection_pad3d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13388 | } |
| 13389 | |
| 13390 | // aten::reflection_pad3d(Tensor self, SymInt[6] padding) -> Tensor |
| 13391 | inline at::Tensor reflection_pad3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) { |
| 13392 | return at::_ops::reflection_pad3d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding)); |
| 13393 | } |
| 13394 | |
| 13395 | // aten::reflection_pad3d(Tensor self, SymInt[6] padding) -> Tensor |
| 13396 | inline at::Tensor reflection_pad3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13397 | return at::_ops::reflection_pad3d::redispatch(dispatchKeySet, self, padding); |
| 13398 | } |
| 13399 | |
| 13400 | // aten::reflection_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13401 | inline at::Tensor & reflection_pad3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13402 | return at::_ops::reflection_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13403 | } |
| 13404 | |
| 13405 | // aten::reflection_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13406 | inline at::Tensor & reflection_pad3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) { |
| 13407 | return at::_ops::reflection_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13408 | } |
| 13409 | |
| 13410 | // aten::reflection_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13411 | inline at::Tensor & reflection_pad3d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13412 | return at::_ops::reflection_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13413 | } |
| 13414 | |
| 13415 | // aten::reflection_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13416 | inline at::Tensor & reflection_pad3d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & grad_input) { |
| 13417 | return at::_ops::reflection_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13418 | } |
| 13419 | |
| 13420 | // aten::reflection_pad3d_backward(Tensor grad_output, Tensor self, SymInt[6] padding) -> Tensor |
| 13421 | inline at::Tensor reflection_pad3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13422 | return at::_ops::reflection_pad3d_backward::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding)); |
| 13423 | } |
| 13424 | |
| 13425 | // aten::reflection_pad3d_backward(Tensor grad_output, Tensor self, SymInt[6] padding) -> Tensor |
| 13426 | inline at::Tensor reflection_pad3d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13427 | return at::_ops::reflection_pad3d_backward::redispatch(dispatchKeySet, grad_output, self, padding); |
| 13428 | } |
| 13429 | |
| 13430 | // aten::replication_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13431 | inline at::Tensor & replication_pad1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) { |
| 13432 | return at::_ops::replication_pad1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13433 | } |
| 13434 | |
| 13435 | // aten::replication_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13436 | inline at::Tensor & replication_pad1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) { |
| 13437 | return at::_ops::replication_pad1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13438 | } |
| 13439 | |
| 13440 | // aten::replication_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13441 | inline at::Tensor & replication_pad1d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13442 | return at::_ops::replication_pad1d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13443 | } |
| 13444 | |
| 13445 | // aten::replication_pad1d.out(Tensor self, SymInt[2] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13446 | inline at::Tensor & replication_pad1d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) { |
| 13447 | return at::_ops::replication_pad1d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13448 | } |
| 13449 | |
| 13450 | // aten::replication_pad1d(Tensor self, SymInt[2] padding) -> Tensor |
| 13451 | inline at::Tensor replication_pad1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) { |
| 13452 | return at::_ops::replication_pad1d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding)); |
| 13453 | } |
| 13454 | |
| 13455 | // aten::replication_pad1d(Tensor self, SymInt[2] padding) -> Tensor |
| 13456 | inline at::Tensor replication_pad1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13457 | return at::_ops::replication_pad1d::redispatch(dispatchKeySet, self, padding); |
| 13458 | } |
| 13459 | |
| 13460 | // aten::replication_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13461 | inline at::Tensor & replication_pad1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13462 | return at::_ops::replication_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13463 | } |
| 13464 | |
| 13465 | // aten::replication_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13466 | inline at::Tensor & replication_pad1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) { |
| 13467 | return at::_ops::replication_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13468 | } |
| 13469 | |
| 13470 | // aten::replication_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13471 | inline at::Tensor & replication_pad1d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13472 | return at::_ops::replication_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13473 | } |
| 13474 | |
| 13475 | // aten::replication_pad1d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[2] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13476 | inline at::Tensor & replication_pad1d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & grad_input) { |
| 13477 | return at::_ops::replication_pad1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13478 | } |
| 13479 | |
| 13480 | // aten::replication_pad1d_backward(Tensor grad_output, Tensor self, SymInt[2] padding) -> Tensor |
| 13481 | inline at::Tensor replication_pad1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13482 | return at::_ops::replication_pad1d_backward::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding)); |
| 13483 | } |
| 13484 | |
| 13485 | // aten::replication_pad1d_backward(Tensor grad_output, Tensor self, SymInt[2] padding) -> Tensor |
| 13486 | inline at::Tensor replication_pad1d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13487 | return at::_ops::replication_pad1d_backward::redispatch(dispatchKeySet, grad_output, self, padding); |
| 13488 | } |
| 13489 | |
| 13490 | // aten::replication_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13491 | inline at::Tensor & replication_pad2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) { |
| 13492 | return at::_ops::replication_pad2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13493 | } |
| 13494 | |
| 13495 | // aten::replication_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13496 | inline at::Tensor & replication_pad2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) { |
| 13497 | return at::_ops::replication_pad2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13498 | } |
| 13499 | |
| 13500 | // aten::replication_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13501 | inline at::Tensor & replication_pad2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13502 | return at::_ops::replication_pad2d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13503 | } |
| 13504 | |
| 13505 | // aten::replication_pad2d.out(Tensor self, SymInt[4] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13506 | inline at::Tensor & replication_pad2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) { |
| 13507 | return at::_ops::replication_pad2d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13508 | } |
| 13509 | |
| 13510 | // aten::replication_pad2d(Tensor self, SymInt[4] padding) -> Tensor |
| 13511 | inline at::Tensor replication_pad2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) { |
| 13512 | return at::_ops::replication_pad2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding)); |
| 13513 | } |
| 13514 | |
| 13515 | // aten::replication_pad2d(Tensor self, SymInt[4] padding) -> Tensor |
| 13516 | inline at::Tensor replication_pad2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13517 | return at::_ops::replication_pad2d::redispatch(dispatchKeySet, self, padding); |
| 13518 | } |
| 13519 | |
| 13520 | // aten::replication_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13521 | inline at::Tensor & replication_pad2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13522 | return at::_ops::replication_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13523 | } |
| 13524 | |
| 13525 | // aten::replication_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13526 | inline at::Tensor & replication_pad2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) { |
| 13527 | return at::_ops::replication_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13528 | } |
| 13529 | |
| 13530 | // aten::replication_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13531 | inline at::Tensor & replication_pad2d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13532 | return at::_ops::replication_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13533 | } |
| 13534 | |
| 13535 | // aten::replication_pad2d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[4] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13536 | inline at::Tensor & replication_pad2d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & grad_input) { |
| 13537 | return at::_ops::replication_pad2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13538 | } |
| 13539 | |
| 13540 | // aten::replication_pad2d_backward(Tensor grad_output, Tensor self, SymInt[4] padding) -> Tensor |
| 13541 | inline at::Tensor replication_pad2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13542 | return at::_ops::replication_pad2d_backward::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding)); |
| 13543 | } |
| 13544 | |
| 13545 | // aten::replication_pad2d_backward(Tensor grad_output, Tensor self, SymInt[4] padding) -> Tensor |
| 13546 | inline at::Tensor replication_pad2d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13547 | return at::_ops::replication_pad2d_backward::redispatch(dispatchKeySet, grad_output, self, padding); |
| 13548 | } |
| 13549 | |
| 13550 | // aten::replication_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13551 | inline at::Tensor & replication_pad3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding) { |
| 13552 | return at::_ops::replication_pad3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13553 | } |
| 13554 | |
| 13555 | // aten::replication_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13556 | inline at::Tensor & replication_pad3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & out) { |
| 13557 | return at::_ops::replication_pad3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding), out); |
| 13558 | } |
| 13559 | |
| 13560 | // aten::replication_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13561 | inline at::Tensor & replication_pad3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13562 | return at::_ops::replication_pad3d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13563 | } |
| 13564 | |
| 13565 | // aten::replication_pad3d.out(Tensor self, SymInt[6] padding, *, Tensor(a!) out) -> Tensor(a!) |
| 13566 | inline at::Tensor & replication_pad3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & out) { |
| 13567 | return at::_ops::replication_pad3d_out::redispatch(dispatchKeySet, self, padding, out); |
| 13568 | } |
| 13569 | |
| 13570 | // aten::replication_pad3d(Tensor self, SymInt[6] padding) -> Tensor |
| 13571 | inline at::Tensor replication_pad3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding) { |
| 13572 | return at::_ops::replication_pad3d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(padding)); |
| 13573 | } |
| 13574 | |
| 13575 | // aten::replication_pad3d(Tensor self, SymInt[6] padding) -> Tensor |
| 13576 | inline at::Tensor replication_pad3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13577 | return at::_ops::replication_pad3d::redispatch(dispatchKeySet, self, padding); |
| 13578 | } |
| 13579 | |
| 13580 | // aten::replication_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13581 | inline at::Tensor & replication_pad3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13582 | return at::_ops::replication_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13583 | } |
| 13584 | |
| 13585 | // aten::replication_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13586 | inline at::Tensor & replication_pad3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding, at::Tensor & grad_input) { |
| 13587 | return at::_ops::replication_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding), grad_input); |
| 13588 | } |
| 13589 | |
| 13590 | // aten::replication_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13591 | inline at::Tensor & replication_pad3d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13592 | return at::_ops::replication_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13593 | } |
| 13594 | |
| 13595 | // aten::replication_pad3d_backward.grad_input(Tensor grad_output, Tensor self, SymInt[6] padding, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13596 | inline at::Tensor & replication_pad3d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding, at::Tensor & grad_input) { |
| 13597 | return at::_ops::replication_pad3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, padding, grad_input); |
| 13598 | } |
| 13599 | |
| 13600 | // aten::replication_pad3d_backward(Tensor grad_output, Tensor self, SymInt[6] padding) -> Tensor |
| 13601 | inline at::Tensor replication_pad3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef padding) { |
| 13602 | return at::_ops::replication_pad3d_backward::redispatch(dispatchKeySet, grad_output, self, c10::fromIntArrayRefSlow(padding)); |
| 13603 | } |
| 13604 | |
| 13605 | // aten::replication_pad3d_backward(Tensor grad_output, Tensor self, SymInt[6] padding) -> Tensor |
| 13606 | inline at::Tensor replication_pad3d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::SymIntArrayRef padding) { |
| 13607 | return at::_ops::replication_pad3d_backward::redispatch(dispatchKeySet, grad_output, self, padding); |
| 13608 | } |
| 13609 | |
| 13610 | // aten::_pad_circular(Tensor self, SymInt[] pad) -> Tensor |
| 13611 | inline at::Tensor _pad_circular(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef pad) { |
| 13612 | return at::_ops::_pad_circular::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(pad)); |
| 13613 | } |
| 13614 | |
| 13615 | // aten::_pad_circular(Tensor self, SymInt[] pad) -> Tensor |
| 13616 | inline at::Tensor _pad_circular_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef pad) { |
| 13617 | return at::_ops::_pad_circular::redispatch(dispatchKeySet, self, pad); |
| 13618 | } |
| 13619 | |
| 13620 | // aten::_pad_enum(Tensor self, SymInt[] pad, int mode, float? value=None) -> Tensor |
| 13621 | inline at::Tensor _pad_enum(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef pad, int64_t mode, c10::optional<double> value=c10::nullopt) { |
| 13622 | return at::_ops::_pad_enum::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(pad), mode, value); |
| 13623 | } |
| 13624 | |
| 13625 | // aten::_pad_enum(Tensor self, SymInt[] pad, int mode, float? value=None) -> Tensor |
| 13626 | inline at::Tensor _pad_enum_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef pad, int64_t mode, c10::optional<double> value=c10::nullopt) { |
| 13627 | return at::_ops::_pad_enum::redispatch(dispatchKeySet, self, pad, mode, value); |
| 13628 | } |
| 13629 | |
| 13630 | // aten::pad(Tensor self, SymInt[] pad, str mode="constant", float? value=None) -> Tensor |
| 13631 | inline at::Tensor pad(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef pad, c10::string_view mode="constant", c10::optional<double> value=c10::nullopt) { |
| 13632 | return at::_ops::pad::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(pad), mode, value); |
| 13633 | } |
| 13634 | |
| 13635 | // aten::pad(Tensor self, SymInt[] pad, str mode="constant", float? value=None) -> Tensor |
| 13636 | inline at::Tensor pad_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef pad, c10::string_view mode="constant", c10::optional<double> value=c10::nullopt) { |
| 13637 | return at::_ops::pad::redispatch(dispatchKeySet, self, pad, mode, value); |
| 13638 | } |
| 13639 | |
| 13640 | // aten::upsample_linear1d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13641 | inline at::Tensor upsample_linear1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13642 | return at::_ops::upsample_linear1d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 13643 | } |
| 13644 | |
| 13645 | // aten::upsample_linear1d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13646 | inline at::Tensor upsample_linear1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13647 | return at::_ops::upsample_linear1d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors); |
| 13648 | } |
| 13649 | |
| 13650 | // aten::upsample_bilinear2d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13651 | inline at::Tensor upsample_bilinear2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13652 | return at::_ops::upsample_bilinear2d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 13653 | } |
| 13654 | |
| 13655 | // aten::upsample_bilinear2d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13656 | inline at::Tensor upsample_bilinear2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13657 | return at::_ops::upsample_bilinear2d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors); |
| 13658 | } |
| 13659 | |
| 13660 | // aten::_upsample_bilinear2d_aa.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13661 | inline at::Tensor _upsample_bilinear2d_aa(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13662 | return at::_ops::_upsample_bilinear2d_aa_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 13663 | } |
| 13664 | |
| 13665 | // aten::_upsample_bilinear2d_aa.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13666 | inline at::Tensor _upsample_bilinear2d_aa_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13667 | return at::_ops::_upsample_bilinear2d_aa_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors); |
| 13668 | } |
| 13669 | |
| 13670 | // aten::upsample_trilinear3d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13671 | inline at::Tensor upsample_trilinear3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13672 | return at::_ops::upsample_trilinear3d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 13673 | } |
| 13674 | |
| 13675 | // aten::upsample_trilinear3d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13676 | inline at::Tensor upsample_trilinear3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13677 | return at::_ops::upsample_trilinear3d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors); |
| 13678 | } |
| 13679 | |
| 13680 | // aten::upsample_bicubic2d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13681 | inline at::Tensor upsample_bicubic2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13682 | return at::_ops::upsample_bicubic2d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 13683 | } |
| 13684 | |
| 13685 | // aten::upsample_bicubic2d.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13686 | inline at::Tensor upsample_bicubic2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13687 | return at::_ops::upsample_bicubic2d_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors); |
| 13688 | } |
| 13689 | |
| 13690 | // aten::_upsample_bicubic2d_aa.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13691 | inline at::Tensor _upsample_bicubic2d_aa(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13692 | return at::_ops::_upsample_bicubic2d_aa_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 13693 | } |
| 13694 | |
| 13695 | // aten::_upsample_bicubic2d_aa.vec(Tensor input, SymInt[]? output_size, bool align_corners, float[]? scale_factors) -> Tensor |
| 13696 | inline at::Tensor _upsample_bicubic2d_aa_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13697 | return at::_ops::_upsample_bicubic2d_aa_vec::redispatch(dispatchKeySet, input, output_size, align_corners, scale_factors); |
| 13698 | } |
| 13699 | |
| 13700 | // aten::upsample_nearest1d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13701 | inline at::Tensor upsample_nearest1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13702 | return at::_ops::upsample_nearest1d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 13703 | } |
| 13704 | |
| 13705 | // aten::upsample_nearest1d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13706 | inline at::Tensor upsample_nearest1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13707 | return at::_ops::upsample_nearest1d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors); |
| 13708 | } |
| 13709 | |
| 13710 | // aten::_upsample_nearest_exact1d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13711 | inline at::Tensor _upsample_nearest_exact1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13712 | return at::_ops::_upsample_nearest_exact1d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 13713 | } |
| 13714 | |
| 13715 | // aten::_upsample_nearest_exact1d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13716 | inline at::Tensor _upsample_nearest_exact1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13717 | return at::_ops::_upsample_nearest_exact1d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors); |
| 13718 | } |
| 13719 | |
| 13720 | // aten::upsample_nearest2d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13721 | inline at::Tensor upsample_nearest2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13722 | return at::_ops::upsample_nearest2d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 13723 | } |
| 13724 | |
| 13725 | // aten::upsample_nearest2d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13726 | inline at::Tensor upsample_nearest2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13727 | return at::_ops::upsample_nearest2d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors); |
| 13728 | } |
| 13729 | |
| 13730 | // aten::_upsample_nearest_exact2d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13731 | inline at::Tensor _upsample_nearest_exact2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13732 | return at::_ops::_upsample_nearest_exact2d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 13733 | } |
| 13734 | |
| 13735 | // aten::_upsample_nearest_exact2d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13736 | inline at::Tensor _upsample_nearest_exact2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13737 | return at::_ops::_upsample_nearest_exact2d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors); |
| 13738 | } |
| 13739 | |
| 13740 | // aten::upsample_nearest3d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13741 | inline at::Tensor upsample_nearest3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13742 | return at::_ops::upsample_nearest3d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 13743 | } |
| 13744 | |
| 13745 | // aten::upsample_nearest3d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13746 | inline at::Tensor upsample_nearest3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13747 | return at::_ops::upsample_nearest3d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors); |
| 13748 | } |
| 13749 | |
| 13750 | // aten::_upsample_nearest_exact3d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13751 | inline at::Tensor _upsample_nearest_exact3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13752 | return at::_ops::_upsample_nearest_exact3d_vec::redispatch(dispatchKeySet, input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 13753 | } |
| 13754 | |
| 13755 | // aten::_upsample_nearest_exact3d.vec(Tensor input, SymInt[]? output_size, float[]? scale_factors) -> Tensor |
| 13756 | inline at::Tensor _upsample_nearest_exact3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 13757 | return at::_ops::_upsample_nearest_exact3d_vec::redispatch(dispatchKeySet, input, output_size, scale_factors); |
| 13758 | } |
| 13759 | |
| 13760 | // aten::upsample_linear1d.out(Tensor self, SymInt[1] output_size, bool align_corners, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13761 | inline at::Tensor & upsample_linear1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13762 | return at::_ops::upsample_linear1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales, out); |
| 13763 | } |
| 13764 | |
| 13765 | // aten::upsample_linear1d.out(Tensor self, SymInt[1] output_size, bool align_corners, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13766 | inline at::Tensor & upsample_linear1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales, at::Tensor & out) { |
| 13767 | return at::_ops::upsample_linear1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales, out); |
| 13768 | } |
| 13769 | |
| 13770 | // aten::upsample_linear1d.out(Tensor self, SymInt[1] output_size, bool align_corners, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13771 | inline at::Tensor & upsample_linear1d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13772 | return at::_ops::upsample_linear1d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales, out); |
| 13773 | } |
| 13774 | |
| 13775 | // aten::upsample_linear1d.out(Tensor self, SymInt[1] output_size, bool align_corners, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13776 | inline at::Tensor & upsample_linear1d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales, at::Tensor & out) { |
| 13777 | return at::_ops::upsample_linear1d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales, out); |
| 13778 | } |
| 13779 | |
| 13780 | // aten::upsample_linear1d(Tensor self, SymInt[1] output_size, bool align_corners, float? scales=None) -> Tensor |
| 13781 | inline at::Tensor upsample_linear1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13782 | return at::_ops::upsample_linear1d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales); |
| 13783 | } |
| 13784 | |
| 13785 | // aten::upsample_linear1d(Tensor self, SymInt[1] output_size, bool align_corners, float? scales=None) -> Tensor |
| 13786 | inline at::Tensor upsample_linear1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13787 | return at::_ops::upsample_linear1d::redispatch(dispatchKeySet, self, output_size, align_corners, scales); |
| 13788 | } |
| 13789 | |
| 13790 | // aten::upsample_linear1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, bool align_corners, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13791 | inline at::Tensor & upsample_linear1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13792 | return at::_ops::upsample_linear1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales, grad_input); |
| 13793 | } |
| 13794 | |
| 13795 | // aten::upsample_linear1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, bool align_corners, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13796 | inline at::Tensor & upsample_linear1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales, at::Tensor & grad_input) { |
| 13797 | return at::_ops::upsample_linear1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales, grad_input); |
| 13798 | } |
| 13799 | |
| 13800 | // aten::upsample_linear1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, bool align_corners, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13801 | inline at::Tensor & upsample_linear1d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13802 | return at::_ops::upsample_linear1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales, grad_input); |
| 13803 | } |
| 13804 | |
| 13805 | // aten::upsample_linear1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, bool align_corners, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13806 | inline at::Tensor & upsample_linear1d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales, at::Tensor & grad_input) { |
| 13807 | return at::_ops::upsample_linear1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales, grad_input); |
| 13808 | } |
| 13809 | |
| 13810 | // aten::upsample_linear1d_backward(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, bool align_corners, float? scales=None) -> Tensor |
| 13811 | inline at::Tensor upsample_linear1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13812 | return at::_ops::upsample_linear1d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales); |
| 13813 | } |
| 13814 | |
| 13815 | // aten::upsample_linear1d_backward(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, bool align_corners, float? scales=None) -> Tensor |
| 13816 | inline at::Tensor upsample_linear1d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales=c10::nullopt) { |
| 13817 | return at::_ops::upsample_linear1d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales); |
| 13818 | } |
| 13819 | |
| 13820 | // aten::upsample_bilinear2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13821 | inline at::Tensor & upsample_bilinear2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13822 | return at::_ops::upsample_bilinear2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 13823 | } |
| 13824 | |
| 13825 | // aten::upsample_bilinear2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13826 | inline at::Tensor & upsample_bilinear2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 13827 | return at::_ops::upsample_bilinear2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 13828 | } |
| 13829 | |
| 13830 | // aten::upsample_bilinear2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13831 | inline at::Tensor & upsample_bilinear2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13832 | return at::_ops::upsample_bilinear2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 13833 | } |
| 13834 | |
| 13835 | // aten::upsample_bilinear2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13836 | inline at::Tensor & upsample_bilinear2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 13837 | return at::_ops::upsample_bilinear2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 13838 | } |
| 13839 | |
| 13840 | // aten::upsample_bilinear2d(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13841 | inline at::Tensor upsample_bilinear2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13842 | return at::_ops::upsample_bilinear2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w); |
| 13843 | } |
| 13844 | |
| 13845 | // aten::upsample_bilinear2d(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13846 | inline at::Tensor upsample_bilinear2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13847 | return at::_ops::upsample_bilinear2d::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w); |
| 13848 | } |
| 13849 | |
| 13850 | // aten::upsample_bilinear2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13851 | inline at::Tensor & upsample_bilinear2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13852 | return at::_ops::upsample_bilinear2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 13853 | } |
| 13854 | |
| 13855 | // aten::upsample_bilinear2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13856 | inline at::Tensor & upsample_bilinear2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 13857 | return at::_ops::upsample_bilinear2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 13858 | } |
| 13859 | |
| 13860 | // aten::upsample_bilinear2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13861 | inline at::Tensor & upsample_bilinear2d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13862 | return at::_ops::upsample_bilinear2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 13863 | } |
| 13864 | |
| 13865 | // aten::upsample_bilinear2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13866 | inline at::Tensor & upsample_bilinear2d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 13867 | return at::_ops::upsample_bilinear2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 13868 | } |
| 13869 | |
| 13870 | // aten::upsample_bilinear2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13871 | inline at::Tensor upsample_bilinear2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13872 | return at::_ops::upsample_bilinear2d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w); |
| 13873 | } |
| 13874 | |
| 13875 | // aten::upsample_bilinear2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13876 | inline at::Tensor upsample_bilinear2d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13877 | return at::_ops::upsample_bilinear2d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w); |
| 13878 | } |
| 13879 | |
| 13880 | // aten::_upsample_bilinear2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13881 | inline at::Tensor & _upsample_bilinear2d_aa_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13882 | return at::_ops::_upsample_bilinear2d_aa_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 13883 | } |
| 13884 | |
| 13885 | // aten::_upsample_bilinear2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13886 | inline at::Tensor & _upsample_bilinear2d_aa_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 13887 | return at::_ops::_upsample_bilinear2d_aa_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 13888 | } |
| 13889 | |
| 13890 | // aten::_upsample_bilinear2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13891 | inline at::Tensor & _upsample_bilinear2d_aa_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13892 | return at::_ops::_upsample_bilinear2d_aa_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 13893 | } |
| 13894 | |
| 13895 | // aten::_upsample_bilinear2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13896 | inline at::Tensor & _upsample_bilinear2d_aa_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 13897 | return at::_ops::_upsample_bilinear2d_aa_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 13898 | } |
| 13899 | |
| 13900 | // aten::_upsample_bilinear2d_aa(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13901 | inline at::Tensor _upsample_bilinear2d_aa(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13902 | return at::_ops::_upsample_bilinear2d_aa::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w); |
| 13903 | } |
| 13904 | |
| 13905 | // aten::_upsample_bilinear2d_aa(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13906 | inline at::Tensor _upsample_bilinear2d_aa_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13907 | return at::_ops::_upsample_bilinear2d_aa::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w); |
| 13908 | } |
| 13909 | |
| 13910 | // aten::_upsample_bilinear2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13911 | inline at::Tensor & _upsample_bilinear2d_aa_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13912 | return at::_ops::_upsample_bilinear2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 13913 | } |
| 13914 | |
| 13915 | // aten::_upsample_bilinear2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13916 | inline at::Tensor & _upsample_bilinear2d_aa_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 13917 | return at::_ops::_upsample_bilinear2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 13918 | } |
| 13919 | |
| 13920 | // aten::_upsample_bilinear2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13921 | inline at::Tensor & _upsample_bilinear2d_aa_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13922 | return at::_ops::_upsample_bilinear2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 13923 | } |
| 13924 | |
| 13925 | // aten::_upsample_bilinear2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13926 | inline at::Tensor & _upsample_bilinear2d_aa_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 13927 | return at::_ops::_upsample_bilinear2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 13928 | } |
| 13929 | |
| 13930 | // aten::_upsample_bilinear2d_aa_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13931 | inline at::Tensor _upsample_bilinear2d_aa_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13932 | return at::_ops::_upsample_bilinear2d_aa_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w); |
| 13933 | } |
| 13934 | |
| 13935 | // aten::_upsample_bilinear2d_aa_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13936 | inline at::Tensor _upsample_bilinear2d_aa_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13937 | return at::_ops::_upsample_bilinear2d_aa_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w); |
| 13938 | } |
| 13939 | |
| 13940 | // aten::upsample_bicubic2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13941 | inline at::Tensor & upsample_bicubic2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13942 | return at::_ops::upsample_bicubic2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 13943 | } |
| 13944 | |
| 13945 | // aten::upsample_bicubic2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13946 | inline at::Tensor & upsample_bicubic2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 13947 | return at::_ops::upsample_bicubic2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 13948 | } |
| 13949 | |
| 13950 | // aten::upsample_bicubic2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13951 | inline at::Tensor & upsample_bicubic2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13952 | return at::_ops::upsample_bicubic2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 13953 | } |
| 13954 | |
| 13955 | // aten::upsample_bicubic2d.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 13956 | inline at::Tensor & upsample_bicubic2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 13957 | return at::_ops::upsample_bicubic2d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 13958 | } |
| 13959 | |
| 13960 | // aten::upsample_bicubic2d(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13961 | inline at::Tensor upsample_bicubic2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13962 | return at::_ops::upsample_bicubic2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w); |
| 13963 | } |
| 13964 | |
| 13965 | // aten::upsample_bicubic2d(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13966 | inline at::Tensor upsample_bicubic2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13967 | return at::_ops::upsample_bicubic2d::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w); |
| 13968 | } |
| 13969 | |
| 13970 | // aten::upsample_bicubic2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13971 | inline at::Tensor & upsample_bicubic2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13972 | return at::_ops::upsample_bicubic2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 13973 | } |
| 13974 | |
| 13975 | // aten::upsample_bicubic2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13976 | inline at::Tensor & upsample_bicubic2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 13977 | return at::_ops::upsample_bicubic2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 13978 | } |
| 13979 | |
| 13980 | // aten::upsample_bicubic2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13981 | inline at::Tensor & upsample_bicubic2d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13982 | return at::_ops::upsample_bicubic2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 13983 | } |
| 13984 | |
| 13985 | // aten::upsample_bicubic2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 13986 | inline at::Tensor & upsample_bicubic2d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 13987 | return at::_ops::upsample_bicubic2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 13988 | } |
| 13989 | |
| 13990 | // aten::upsample_bicubic2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13991 | inline at::Tensor upsample_bicubic2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13992 | return at::_ops::upsample_bicubic2d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w); |
| 13993 | } |
| 13994 | |
| 13995 | // aten::upsample_bicubic2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 13996 | inline at::Tensor upsample_bicubic2d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 13997 | return at::_ops::upsample_bicubic2d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w); |
| 13998 | } |
| 13999 | |
| 14000 | // aten::_upsample_bicubic2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14001 | inline at::Tensor & _upsample_bicubic2d_aa_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14002 | return at::_ops::_upsample_bicubic2d_aa_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 14003 | } |
| 14004 | |
| 14005 | // aten::_upsample_bicubic2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14006 | inline at::Tensor & _upsample_bicubic2d_aa_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14007 | return at::_ops::_upsample_bicubic2d_aa_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w, out); |
| 14008 | } |
| 14009 | |
| 14010 | // aten::_upsample_bicubic2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14011 | inline at::Tensor & _upsample_bicubic2d_aa_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14012 | return at::_ops::_upsample_bicubic2d_aa_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 14013 | } |
| 14014 | |
| 14015 | // aten::_upsample_bicubic2d_aa.out(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14016 | inline at::Tensor & _upsample_bicubic2d_aa_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14017 | return at::_ops::_upsample_bicubic2d_aa_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w, out); |
| 14018 | } |
| 14019 | |
| 14020 | // aten::_upsample_bicubic2d_aa(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14021 | inline at::Tensor _upsample_bicubic2d_aa(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14022 | return at::_ops::_upsample_bicubic2d_aa::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_h, scales_w); |
| 14023 | } |
| 14024 | |
| 14025 | // aten::_upsample_bicubic2d_aa(Tensor self, SymInt[2] output_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14026 | inline at::Tensor _upsample_bicubic2d_aa_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14027 | return at::_ops::_upsample_bicubic2d_aa::redispatch(dispatchKeySet, self, output_size, align_corners, scales_h, scales_w); |
| 14028 | } |
| 14029 | |
| 14030 | // aten::_upsample_bicubic2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14031 | inline at::Tensor & _upsample_bicubic2d_aa_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14032 | return at::_ops::_upsample_bicubic2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 14033 | } |
| 14034 | |
| 14035 | // aten::_upsample_bicubic2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14036 | inline at::Tensor & _upsample_bicubic2d_aa_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14037 | return at::_ops::_upsample_bicubic2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w, grad_input); |
| 14038 | } |
| 14039 | |
| 14040 | // aten::_upsample_bicubic2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14041 | inline at::Tensor & _upsample_bicubic2d_aa_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14042 | return at::_ops::_upsample_bicubic2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 14043 | } |
| 14044 | |
| 14045 | // aten::_upsample_bicubic2d_aa_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14046 | inline at::Tensor & _upsample_bicubic2d_aa_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14047 | return at::_ops::_upsample_bicubic2d_aa_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w, grad_input); |
| 14048 | } |
| 14049 | |
| 14050 | // aten::_upsample_bicubic2d_aa_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14051 | inline at::Tensor _upsample_bicubic2d_aa_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14052 | return at::_ops::_upsample_bicubic2d_aa_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_h, scales_w); |
| 14053 | } |
| 14054 | |
| 14055 | // aten::_upsample_bicubic2d_aa_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, bool align_corners, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14056 | inline at::Tensor _upsample_bicubic2d_aa_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14057 | return at::_ops::_upsample_bicubic2d_aa_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_h, scales_w); |
| 14058 | } |
| 14059 | |
| 14060 | // aten::upsample_trilinear3d.out(Tensor self, SymInt[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14061 | inline at::Tensor & upsample_trilinear3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14062 | return at::_ops::upsample_trilinear3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_d, scales_h, scales_w, out); |
| 14063 | } |
| 14064 | |
| 14065 | // aten::upsample_trilinear3d.out(Tensor self, SymInt[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14066 | inline at::Tensor & upsample_trilinear3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14067 | return at::_ops::upsample_trilinear3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_d, scales_h, scales_w, out); |
| 14068 | } |
| 14069 | |
| 14070 | // aten::upsample_trilinear3d.out(Tensor self, SymInt[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14071 | inline at::Tensor & upsample_trilinear3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14072 | return at::_ops::upsample_trilinear3d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_d, scales_h, scales_w, out); |
| 14073 | } |
| 14074 | |
| 14075 | // aten::upsample_trilinear3d.out(Tensor self, SymInt[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14076 | inline at::Tensor & upsample_trilinear3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14077 | return at::_ops::upsample_trilinear3d_out::redispatch(dispatchKeySet, self, output_size, align_corners, scales_d, scales_h, scales_w, out); |
| 14078 | } |
| 14079 | |
| 14080 | // aten::upsample_trilinear3d(Tensor self, SymInt[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14081 | inline at::Tensor upsample_trilinear3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14082 | return at::_ops::upsample_trilinear3d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), align_corners, scales_d, scales_h, scales_w); |
| 14083 | } |
| 14084 | |
| 14085 | // aten::upsample_trilinear3d(Tensor self, SymInt[3] output_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14086 | inline at::Tensor upsample_trilinear3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14087 | return at::_ops::upsample_trilinear3d::redispatch(dispatchKeySet, self, output_size, align_corners, scales_d, scales_h, scales_w); |
| 14088 | } |
| 14089 | |
| 14090 | // aten::upsample_trilinear3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14091 | inline at::Tensor & upsample_trilinear3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14092 | return at::_ops::upsample_trilinear3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_d, scales_h, scales_w, grad_input); |
| 14093 | } |
| 14094 | |
| 14095 | // aten::upsample_trilinear3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14096 | inline at::Tensor & upsample_trilinear3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14097 | return at::_ops::upsample_trilinear3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_d, scales_h, scales_w, grad_input); |
| 14098 | } |
| 14099 | |
| 14100 | // aten::upsample_trilinear3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14101 | inline at::Tensor & upsample_trilinear3d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14102 | return at::_ops::upsample_trilinear3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_d, scales_h, scales_w, grad_input); |
| 14103 | } |
| 14104 | |
| 14105 | // aten::upsample_trilinear3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14106 | inline at::Tensor & upsample_trilinear3d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14107 | return at::_ops::upsample_trilinear3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_d, scales_h, scales_w, grad_input); |
| 14108 | } |
| 14109 | |
| 14110 | // aten::upsample_trilinear3d_backward(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14111 | inline at::Tensor upsample_trilinear3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14112 | return at::_ops::upsample_trilinear3d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), align_corners, scales_d, scales_h, scales_w); |
| 14113 | } |
| 14114 | |
| 14115 | // aten::upsample_trilinear3d_backward(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, bool align_corners, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14116 | inline at::Tensor upsample_trilinear3d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, bool align_corners, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14117 | return at::_ops::upsample_trilinear3d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, align_corners, scales_d, scales_h, scales_w); |
| 14118 | } |
| 14119 | |
| 14120 | // aten::upsample_nearest1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14121 | inline at::Tensor & upsample_nearest1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14122 | return at::_ops::upsample_nearest1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales, out); |
| 14123 | } |
| 14124 | |
| 14125 | // aten::upsample_nearest1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14126 | inline at::Tensor & upsample_nearest1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales, at::Tensor & out) { |
| 14127 | return at::_ops::upsample_nearest1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales, out); |
| 14128 | } |
| 14129 | |
| 14130 | // aten::upsample_nearest1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14131 | inline at::Tensor & upsample_nearest1d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14132 | return at::_ops::upsample_nearest1d_out::redispatch(dispatchKeySet, self, output_size, scales, out); |
| 14133 | } |
| 14134 | |
| 14135 | // aten::upsample_nearest1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14136 | inline at::Tensor & upsample_nearest1d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales, at::Tensor & out) { |
| 14137 | return at::_ops::upsample_nearest1d_out::redispatch(dispatchKeySet, self, output_size, scales, out); |
| 14138 | } |
| 14139 | |
| 14140 | // aten::_upsample_nearest_exact1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14141 | inline at::Tensor & _upsample_nearest_exact1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14142 | return at::_ops::_upsample_nearest_exact1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales, out); |
| 14143 | } |
| 14144 | |
| 14145 | // aten::_upsample_nearest_exact1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14146 | inline at::Tensor & _upsample_nearest_exact1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales, at::Tensor & out) { |
| 14147 | return at::_ops::_upsample_nearest_exact1d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales, out); |
| 14148 | } |
| 14149 | |
| 14150 | // aten::_upsample_nearest_exact1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14151 | inline at::Tensor & _upsample_nearest_exact1d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14152 | return at::_ops::_upsample_nearest_exact1d_out::redispatch(dispatchKeySet, self, output_size, scales, out); |
| 14153 | } |
| 14154 | |
| 14155 | // aten::_upsample_nearest_exact1d.out(Tensor self, SymInt[1] output_size, float? scales=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14156 | inline at::Tensor & _upsample_nearest_exact1d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales, at::Tensor & out) { |
| 14157 | return at::_ops::_upsample_nearest_exact1d_out::redispatch(dispatchKeySet, self, output_size, scales, out); |
| 14158 | } |
| 14159 | |
| 14160 | // aten::upsample_nearest1d(Tensor self, SymInt[1] output_size, float? scales=None) -> Tensor |
| 14161 | inline at::Tensor upsample_nearest1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14162 | return at::_ops::upsample_nearest1d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales); |
| 14163 | } |
| 14164 | |
| 14165 | // aten::upsample_nearest1d(Tensor self, SymInt[1] output_size, float? scales=None) -> Tensor |
| 14166 | inline at::Tensor upsample_nearest1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14167 | return at::_ops::upsample_nearest1d::redispatch(dispatchKeySet, self, output_size, scales); |
| 14168 | } |
| 14169 | |
| 14170 | // aten::_upsample_nearest_exact1d(Tensor self, SymInt[1] output_size, float? scales=None) -> Tensor |
| 14171 | inline at::Tensor _upsample_nearest_exact1d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14172 | return at::_ops::_upsample_nearest_exact1d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales); |
| 14173 | } |
| 14174 | |
| 14175 | // aten::_upsample_nearest_exact1d(Tensor self, SymInt[1] output_size, float? scales=None) -> Tensor |
| 14176 | inline at::Tensor _upsample_nearest_exact1d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales=c10::nullopt) { |
| 14177 | return at::_ops::_upsample_nearest_exact1d::redispatch(dispatchKeySet, self, output_size, scales); |
| 14178 | } |
| 14179 | |
| 14180 | // aten::upsample_nearest1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14181 | inline at::Tensor & upsample_nearest1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14182 | return at::_ops::upsample_nearest1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales, grad_input); |
| 14183 | } |
| 14184 | |
| 14185 | // aten::upsample_nearest1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14186 | inline at::Tensor & upsample_nearest1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales, at::Tensor & grad_input) { |
| 14187 | return at::_ops::upsample_nearest1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales, grad_input); |
| 14188 | } |
| 14189 | |
| 14190 | // aten::upsample_nearest1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14191 | inline at::Tensor & upsample_nearest1d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14192 | return at::_ops::upsample_nearest1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales, grad_input); |
| 14193 | } |
| 14194 | |
| 14195 | // aten::upsample_nearest1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14196 | inline at::Tensor & upsample_nearest1d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales, at::Tensor & grad_input) { |
| 14197 | return at::_ops::upsample_nearest1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales, grad_input); |
| 14198 | } |
| 14199 | |
| 14200 | // aten::_upsample_nearest_exact1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14201 | inline at::Tensor & _upsample_nearest_exact1d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14202 | return at::_ops::_upsample_nearest_exact1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales, grad_input); |
| 14203 | } |
| 14204 | |
| 14205 | // aten::_upsample_nearest_exact1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14206 | inline at::Tensor & _upsample_nearest_exact1d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales, at::Tensor & grad_input) { |
| 14207 | return at::_ops::_upsample_nearest_exact1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales, grad_input); |
| 14208 | } |
| 14209 | |
| 14210 | // aten::_upsample_nearest_exact1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14211 | inline at::Tensor & _upsample_nearest_exact1d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14212 | return at::_ops::_upsample_nearest_exact1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales, grad_input); |
| 14213 | } |
| 14214 | |
| 14215 | // aten::_upsample_nearest_exact1d_backward.grad_input(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14216 | inline at::Tensor & _upsample_nearest_exact1d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales, at::Tensor & grad_input) { |
| 14217 | return at::_ops::_upsample_nearest_exact1d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales, grad_input); |
| 14218 | } |
| 14219 | |
| 14220 | // aten::upsample_nearest1d_backward(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None) -> Tensor |
| 14221 | inline at::Tensor upsample_nearest1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14222 | return at::_ops::upsample_nearest1d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales); |
| 14223 | } |
| 14224 | |
| 14225 | // aten::upsample_nearest1d_backward(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None) -> Tensor |
| 14226 | inline at::Tensor upsample_nearest1d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14227 | return at::_ops::upsample_nearest1d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales); |
| 14228 | } |
| 14229 | |
| 14230 | // aten::_upsample_nearest_exact1d_backward(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None) -> Tensor |
| 14231 | inline at::Tensor _upsample_nearest_exact1d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14232 | return at::_ops::_upsample_nearest_exact1d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales); |
| 14233 | } |
| 14234 | |
| 14235 | // aten::_upsample_nearest_exact1d_backward(Tensor grad_output, SymInt[1] output_size, SymInt[3] input_size, float? scales=None) -> Tensor |
| 14236 | inline at::Tensor _upsample_nearest_exact1d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales=c10::nullopt) { |
| 14237 | return at::_ops::_upsample_nearest_exact1d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales); |
| 14238 | } |
| 14239 | |
| 14240 | // aten::upsample_nearest2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14241 | inline at::Tensor & upsample_nearest2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14242 | return at::_ops::upsample_nearest2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_h, scales_w, out); |
| 14243 | } |
| 14244 | |
| 14245 | // aten::upsample_nearest2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14246 | inline at::Tensor & upsample_nearest2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14247 | return at::_ops::upsample_nearest2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_h, scales_w, out); |
| 14248 | } |
| 14249 | |
| 14250 | // aten::upsample_nearest2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14251 | inline at::Tensor & upsample_nearest2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14252 | return at::_ops::upsample_nearest2d_out::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w, out); |
| 14253 | } |
| 14254 | |
| 14255 | // aten::upsample_nearest2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14256 | inline at::Tensor & upsample_nearest2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14257 | return at::_ops::upsample_nearest2d_out::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w, out); |
| 14258 | } |
| 14259 | |
| 14260 | // aten::_upsample_nearest_exact2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14261 | inline at::Tensor & _upsample_nearest_exact2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14262 | return at::_ops::_upsample_nearest_exact2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_h, scales_w, out); |
| 14263 | } |
| 14264 | |
| 14265 | // aten::_upsample_nearest_exact2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14266 | inline at::Tensor & _upsample_nearest_exact2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14267 | return at::_ops::_upsample_nearest_exact2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_h, scales_w, out); |
| 14268 | } |
| 14269 | |
| 14270 | // aten::_upsample_nearest_exact2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14271 | inline at::Tensor & _upsample_nearest_exact2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14272 | return at::_ops::_upsample_nearest_exact2d_out::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w, out); |
| 14273 | } |
| 14274 | |
| 14275 | // aten::_upsample_nearest_exact2d.out(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14276 | inline at::Tensor & _upsample_nearest_exact2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14277 | return at::_ops::_upsample_nearest_exact2d_out::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w, out); |
| 14278 | } |
| 14279 | |
| 14280 | // aten::upsample_nearest2d(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14281 | inline at::Tensor upsample_nearest2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14282 | return at::_ops::upsample_nearest2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_h, scales_w); |
| 14283 | } |
| 14284 | |
| 14285 | // aten::upsample_nearest2d(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14286 | inline at::Tensor upsample_nearest2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14287 | return at::_ops::upsample_nearest2d::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w); |
| 14288 | } |
| 14289 | |
| 14290 | // aten::_upsample_nearest_exact2d(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14291 | inline at::Tensor _upsample_nearest_exact2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14292 | return at::_ops::_upsample_nearest_exact2d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_h, scales_w); |
| 14293 | } |
| 14294 | |
| 14295 | // aten::_upsample_nearest_exact2d(Tensor self, SymInt[2] output_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14296 | inline at::Tensor _upsample_nearest_exact2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14297 | return at::_ops::_upsample_nearest_exact2d::redispatch(dispatchKeySet, self, output_size, scales_h, scales_w); |
| 14298 | } |
| 14299 | |
| 14300 | // aten::upsample_nearest2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14301 | inline at::Tensor & upsample_nearest2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14302 | return at::_ops::upsample_nearest2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_h, scales_w, grad_input); |
| 14303 | } |
| 14304 | |
| 14305 | // aten::upsample_nearest2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14306 | inline at::Tensor & upsample_nearest2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14307 | return at::_ops::upsample_nearest2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_h, scales_w, grad_input); |
| 14308 | } |
| 14309 | |
| 14310 | // aten::upsample_nearest2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14311 | inline at::Tensor & upsample_nearest2d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14312 | return at::_ops::upsample_nearest2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w, grad_input); |
| 14313 | } |
| 14314 | |
| 14315 | // aten::upsample_nearest2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14316 | inline at::Tensor & upsample_nearest2d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14317 | return at::_ops::upsample_nearest2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w, grad_input); |
| 14318 | } |
| 14319 | |
| 14320 | // aten::_upsample_nearest_exact2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14321 | inline at::Tensor & _upsample_nearest_exact2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14322 | return at::_ops::_upsample_nearest_exact2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_h, scales_w, grad_input); |
| 14323 | } |
| 14324 | |
| 14325 | // aten::_upsample_nearest_exact2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14326 | inline at::Tensor & _upsample_nearest_exact2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14327 | return at::_ops::_upsample_nearest_exact2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_h, scales_w, grad_input); |
| 14328 | } |
| 14329 | |
| 14330 | // aten::_upsample_nearest_exact2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14331 | inline at::Tensor & _upsample_nearest_exact2d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14332 | return at::_ops::_upsample_nearest_exact2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w, grad_input); |
| 14333 | } |
| 14334 | |
| 14335 | // aten::_upsample_nearest_exact2d_backward.grad_input(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14336 | inline at::Tensor & _upsample_nearest_exact2d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14337 | return at::_ops::_upsample_nearest_exact2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w, grad_input); |
| 14338 | } |
| 14339 | |
| 14340 | // aten::upsample_nearest2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14341 | inline at::Tensor upsample_nearest2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14342 | return at::_ops::upsample_nearest2d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_h, scales_w); |
| 14343 | } |
| 14344 | |
| 14345 | // aten::upsample_nearest2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14346 | inline at::Tensor upsample_nearest2d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14347 | return at::_ops::upsample_nearest2d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w); |
| 14348 | } |
| 14349 | |
| 14350 | // aten::_upsample_nearest_exact2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14351 | inline at::Tensor _upsample_nearest_exact2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14352 | return at::_ops::_upsample_nearest_exact2d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_h, scales_w); |
| 14353 | } |
| 14354 | |
| 14355 | // aten::_upsample_nearest_exact2d_backward(Tensor grad_output, SymInt[2] output_size, SymInt[4] input_size, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14356 | inline at::Tensor _upsample_nearest_exact2d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14357 | return at::_ops::_upsample_nearest_exact2d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_h, scales_w); |
| 14358 | } |
| 14359 | |
| 14360 | // aten::upsample_nearest3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14361 | inline at::Tensor & upsample_nearest3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14362 | return at::_ops::upsample_nearest3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_d, scales_h, scales_w, out); |
| 14363 | } |
| 14364 | |
| 14365 | // aten::upsample_nearest3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14366 | inline at::Tensor & upsample_nearest3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14367 | return at::_ops::upsample_nearest3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_d, scales_h, scales_w, out); |
| 14368 | } |
| 14369 | |
| 14370 | // aten::upsample_nearest3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14371 | inline at::Tensor & upsample_nearest3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14372 | return at::_ops::upsample_nearest3d_out::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w, out); |
| 14373 | } |
| 14374 | |
| 14375 | // aten::upsample_nearest3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14376 | inline at::Tensor & upsample_nearest3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14377 | return at::_ops::upsample_nearest3d_out::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w, out); |
| 14378 | } |
| 14379 | |
| 14380 | // aten::_upsample_nearest_exact3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14381 | inline at::Tensor & _upsample_nearest_exact3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14382 | return at::_ops::_upsample_nearest_exact3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_d, scales_h, scales_w, out); |
| 14383 | } |
| 14384 | |
| 14385 | // aten::_upsample_nearest_exact3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14386 | inline at::Tensor & _upsample_nearest_exact3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14387 | return at::_ops::_upsample_nearest_exact3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_d, scales_h, scales_w, out); |
| 14388 | } |
| 14389 | |
| 14390 | // aten::_upsample_nearest_exact3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14391 | inline at::Tensor & _upsample_nearest_exact3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14392 | return at::_ops::_upsample_nearest_exact3d_out::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w, out); |
| 14393 | } |
| 14394 | |
| 14395 | // aten::_upsample_nearest_exact3d.out(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) out) -> Tensor(a!) |
| 14396 | inline at::Tensor & _upsample_nearest_exact3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & out) { |
| 14397 | return at::_ops::_upsample_nearest_exact3d_out::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w, out); |
| 14398 | } |
| 14399 | |
| 14400 | // aten::upsample_nearest3d(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14401 | inline at::Tensor upsample_nearest3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14402 | return at::_ops::upsample_nearest3d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_d, scales_h, scales_w); |
| 14403 | } |
| 14404 | |
| 14405 | // aten::upsample_nearest3d(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14406 | inline at::Tensor upsample_nearest3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14407 | return at::_ops::upsample_nearest3d::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w); |
| 14408 | } |
| 14409 | |
| 14410 | // aten::_upsample_nearest_exact3d(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14411 | inline at::Tensor _upsample_nearest_exact3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14412 | return at::_ops::_upsample_nearest_exact3d::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), scales_d, scales_h, scales_w); |
| 14413 | } |
| 14414 | |
| 14415 | // aten::_upsample_nearest_exact3d(Tensor self, SymInt[3] output_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14416 | inline at::Tensor _upsample_nearest_exact3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14417 | return at::_ops::_upsample_nearest_exact3d::redispatch(dispatchKeySet, self, output_size, scales_d, scales_h, scales_w); |
| 14418 | } |
| 14419 | |
| 14420 | // aten::upsample_nearest3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14421 | inline at::Tensor & upsample_nearest3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14422 | return at::_ops::upsample_nearest3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_d, scales_h, scales_w, grad_input); |
| 14423 | } |
| 14424 | |
| 14425 | // aten::upsample_nearest3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14426 | inline at::Tensor & upsample_nearest3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14427 | return at::_ops::upsample_nearest3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_d, scales_h, scales_w, grad_input); |
| 14428 | } |
| 14429 | |
| 14430 | // aten::upsample_nearest3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14431 | inline at::Tensor & upsample_nearest3d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14432 | return at::_ops::upsample_nearest3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w, grad_input); |
| 14433 | } |
| 14434 | |
| 14435 | // aten::upsample_nearest3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14436 | inline at::Tensor & upsample_nearest3d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14437 | return at::_ops::upsample_nearest3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w, grad_input); |
| 14438 | } |
| 14439 | |
| 14440 | // aten::_upsample_nearest_exact3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14441 | inline at::Tensor & _upsample_nearest_exact3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14442 | return at::_ops::_upsample_nearest_exact3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_d, scales_h, scales_w, grad_input); |
| 14443 | } |
| 14444 | |
| 14445 | // aten::_upsample_nearest_exact3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14446 | inline at::Tensor & _upsample_nearest_exact3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14447 | return at::_ops::_upsample_nearest_exact3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_d, scales_h, scales_w, grad_input); |
| 14448 | } |
| 14449 | |
| 14450 | // aten::_upsample_nearest_exact3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14451 | inline at::Tensor & _upsample_nearest_exact3d_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14452 | return at::_ops::_upsample_nearest_exact3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w, grad_input); |
| 14453 | } |
| 14454 | |
| 14455 | // aten::_upsample_nearest_exact3d_backward.grad_input(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14456 | inline at::Tensor & _upsample_nearest_exact3d_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d, c10::optional<double> scales_h, c10::optional<double> scales_w, at::Tensor & grad_input) { |
| 14457 | return at::_ops::_upsample_nearest_exact3d_backward_grad_input::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w, grad_input); |
| 14458 | } |
| 14459 | |
| 14460 | // aten::upsample_nearest3d_backward(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14461 | inline at::Tensor upsample_nearest3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14462 | return at::_ops::upsample_nearest3d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_d, scales_h, scales_w); |
| 14463 | } |
| 14464 | |
| 14465 | // aten::upsample_nearest3d_backward(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14466 | inline at::Tensor upsample_nearest3d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14467 | return at::_ops::upsample_nearest3d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w); |
| 14468 | } |
| 14469 | |
| 14470 | // aten::_upsample_nearest_exact3d_backward(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14471 | inline at::Tensor _upsample_nearest_exact3d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef output_size, at::IntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14472 | return at::_ops::_upsample_nearest_exact3d_backward::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(output_size), c10::fromIntArrayRefSlow(input_size), scales_d, scales_h, scales_w); |
| 14473 | } |
| 14474 | |
| 14475 | // aten::_upsample_nearest_exact3d_backward(Tensor grad_output, SymInt[3] output_size, SymInt[5] input_size, float? scales_d=None, float? scales_h=None, float? scales_w=None) -> Tensor |
| 14476 | inline at::Tensor _upsample_nearest_exact3d_backward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef output_size, c10::SymIntArrayRef input_size, c10::optional<double> scales_d=c10::nullopt, c10::optional<double> scales_h=c10::nullopt, c10::optional<double> scales_w=c10::nullopt) { |
| 14477 | return at::_ops::_upsample_nearest_exact3d_backward::redispatch(dispatchKeySet, grad_output, output_size, input_size, scales_d, scales_h, scales_w); |
| 14478 | } |
| 14479 | |
| 14480 | // aten::sigmoid_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14481 | inline at::Tensor & sigmoid_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output) { |
| 14482 | return at::_ops::sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input); |
| 14483 | } |
| 14484 | |
| 14485 | // aten::sigmoid_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14486 | inline at::Tensor & sigmoid_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input) { |
| 14487 | return at::_ops::sigmoid_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input); |
| 14488 | } |
| 14489 | |
| 14490 | // aten::sigmoid_backward(Tensor grad_output, Tensor output) -> Tensor |
| 14491 | inline at::Tensor sigmoid_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output) { |
| 14492 | return at::_ops::sigmoid_backward::redispatch(dispatchKeySet, grad_output, output); |
| 14493 | } |
| 14494 | |
| 14495 | // aten::logit_backward.grad_input(Tensor grad_output, Tensor self, float? eps=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14496 | inline at::Tensor & logit_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) { |
| 14497 | return at::_ops::logit_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, eps, grad_input); |
| 14498 | } |
| 14499 | |
| 14500 | // aten::logit_backward.grad_input(Tensor grad_output, Tensor self, float? eps=None, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14501 | inline at::Tensor & logit_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::optional<double> eps, at::Tensor & grad_input) { |
| 14502 | return at::_ops::logit_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, eps, grad_input); |
| 14503 | } |
| 14504 | |
| 14505 | // aten::logit_backward(Tensor grad_output, Tensor self, float? eps=None) -> Tensor |
| 14506 | inline at::Tensor logit_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) { |
| 14507 | return at::_ops::logit_backward::redispatch(dispatchKeySet, grad_output, self, eps); |
| 14508 | } |
| 14509 | |
| 14510 | // aten::tanh_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14511 | inline at::Tensor & tanh_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, const at::Tensor & grad_output, const at::Tensor & output) { |
| 14512 | return at::_ops::tanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input); |
| 14513 | } |
| 14514 | |
| 14515 | // aten::tanh_backward.grad_input(Tensor grad_output, Tensor output, *, Tensor(a!) grad_input) -> Tensor(a!) |
| 14516 | inline at::Tensor & tanh_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, at::Tensor & grad_input) { |
| 14517 | return at::_ops::tanh_backward_grad_input::redispatch(dispatchKeySet, grad_output, output, grad_input); |
| 14518 | } |
| 14519 | |
| 14520 | // aten::tanh_backward(Tensor grad_output, Tensor output) -> Tensor |
| 14521 | inline at::Tensor tanh_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output) { |
| 14522 | return at::_ops::tanh_backward::redispatch(dispatchKeySet, grad_output, output); |
| 14523 | } |
| 14524 | |
| 14525 | // aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14526 | inline at::Tensor & slow_conv_transpose2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) { |
| 14527 | return at::_ops::slow_conv_transpose2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), dilation, out); |
| 14528 | } |
| 14529 | |
| 14530 | // aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14531 | inline at::Tensor & slow_conv_transpose2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 14532 | return at::_ops::slow_conv_transpose2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), dilation, out); |
| 14533 | } |
| 14534 | |
| 14535 | // aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14536 | inline at::Tensor & slow_conv_transpose2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), c10::SymIntArrayRef output_padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 14537 | return at::_ops::slow_conv_transpose2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out); |
| 14538 | } |
| 14539 | |
| 14540 | // aten::slow_conv_transpose2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14541 | inline at::Tensor & slow_conv_transpose2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, c10::SymIntArrayRef output_padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 14542 | return at::_ops::slow_conv_transpose2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out); |
| 14543 | } |
| 14544 | |
| 14545 | // aten::slow_conv_transpose2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1) -> Tensor |
| 14546 | inline at::Tensor slow_conv_transpose2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) { |
| 14547 | return at::_ops::slow_conv_transpose2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), dilation); |
| 14548 | } |
| 14549 | |
| 14550 | // aten::slow_conv_transpose2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, SymInt[2] output_padding=0, int[2] dilation=1) -> Tensor |
| 14551 | inline at::Tensor slow_conv_transpose2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), c10::SymIntArrayRef output_padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 14552 | return at::_ops::slow_conv_transpose2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation); |
| 14553 | } |
| 14554 | |
| 14555 | // aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14556 | inline at::Tensor & slow_conv_transpose3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) { |
| 14557 | return at::_ops::slow_conv_transpose3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), dilation, out); |
| 14558 | } |
| 14559 | |
| 14560 | // aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14561 | inline at::Tensor & slow_conv_transpose3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 14562 | return at::_ops::slow_conv_transpose3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), dilation, out); |
| 14563 | } |
| 14564 | |
| 14565 | // aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14566 | inline at::Tensor & slow_conv_transpose3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), c10::SymIntArrayRef output_padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 14567 | return at::_ops::slow_conv_transpose3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out); |
| 14568 | } |
| 14569 | |
| 14570 | // aten::slow_conv_transpose3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 14571 | inline at::Tensor & slow_conv_transpose3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, c10::SymIntArrayRef output_padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 14572 | return at::_ops::slow_conv_transpose3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation, out); |
| 14573 | } |
| 14574 | |
| 14575 | // aten::slow_conv_transpose3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1) -> Tensor |
| 14576 | inline at::Tensor slow_conv_transpose3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef output_padding=0, at::IntArrayRef dilation=1) { |
| 14577 | return at::_ops::slow_conv_transpose3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), dilation); |
| 14578 | } |
| 14579 | |
| 14580 | // aten::slow_conv_transpose3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, SymInt[3] output_padding=0, int[3] dilation=1) -> Tensor |
| 14581 | inline at::Tensor slow_conv_transpose3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), c10::SymIntArrayRef output_padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 14582 | return at::_ops::slow_conv_transpose3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output_padding, dilation); |
| 14583 | } |
| 14584 | |
| 14585 | // aten::thnn_conv2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, *, Tensor(a!) out) -> Tensor(a!) |
| 14586 | inline at::Tensor & thnn_conv2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) { |
| 14587 | return at::_ops::thnn_conv2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out); |
| 14588 | } |
| 14589 | |
| 14590 | // aten::thnn_conv2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0, *, Tensor(a!) out) -> Tensor(a!) |
| 14591 | inline at::Tensor & thnn_conv2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & out) { |
| 14592 | return at::_ops::thnn_conv2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out); |
| 14593 | } |
| 14594 | |
| 14595 | // aten::thnn_conv2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, int[2] padding=0) -> Tensor |
| 14596 | inline at::Tensor thnn_conv2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) { |
| 14597 | return at::_ops::thnn_conv2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding); |
| 14598 | } |
| 14599 | |
| 14600 | // aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, *, Tensor(a!) output) -> Tensor(a!) |
| 14601 | inline at::Tensor & _slow_conv2d_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 14602 | return at::_ops::_slow_conv2d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output); |
| 14603 | } |
| 14604 | |
| 14605 | // aten::_slow_conv2d_forward.output(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding, *, Tensor(a!) output) -> Tensor(a!) |
| 14606 | inline at::Tensor & _slow_conv2d_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & output) { |
| 14607 | return at::_ops::_slow_conv2d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output); |
| 14608 | } |
| 14609 | |
| 14610 | // aten::_slow_conv2d_forward(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, int[2] padding) -> Tensor |
| 14611 | inline at::Tensor _slow_conv2d_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 14612 | return at::_ops::_slow_conv2d_forward::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding); |
| 14613 | } |
| 14614 | |
| 14615 | // aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 14616 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _slow_conv2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 14617 | return at::_ops::_slow_conv2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, grad_input, grad_weight, grad_bias); |
| 14618 | } |
| 14619 | |
| 14620 | // aten::_slow_conv2d_backward.grad_input(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, *, Tensor(a!) grad_input, Tensor(b!) grad_weight, Tensor(c!) grad_bias) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 14621 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _slow_conv2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & grad_input, at::Tensor & grad_weight, at::Tensor & grad_bias) { |
| 14622 | return at::_ops::_slow_conv2d_backward_grad_input::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, grad_input, grad_weight, grad_bias); |
| 14623 | } |
| 14624 | |
| 14625 | // aten::_slow_conv2d_backward.output_mask(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, bool[3] output_mask) -> (Tensor grad_input, Tensor grad_weight, Tensor grad_bias) |
| 14626 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _slow_conv2d_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, ::std::array<bool,3> output_mask) { |
| 14627 | return at::_ops::_slow_conv2d_backward_output_mask::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_mask); |
| 14628 | } |
| 14629 | |
| 14630 | // aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 14631 | inline const at::Tensor & _conv_depthwise2d_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) { |
| 14632 | return at::_ops::_conv_depthwise2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 14633 | } |
| 14634 | |
| 14635 | // aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 14636 | inline const at::Tensor & _conv_depthwise2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, const at::Tensor & out) { |
| 14637 | return at::_ops::_conv_depthwise2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 14638 | } |
| 14639 | |
| 14640 | // aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 14641 | inline const at::Tensor & _conv_depthwise2d_symint_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation) { |
| 14642 | return at::_ops::_conv_depthwise2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 14643 | } |
| 14644 | |
| 14645 | // aten::_conv_depthwise2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 14646 | inline const at::Tensor & _conv_depthwise2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, const at::Tensor & out) { |
| 14647 | return at::_ops::_conv_depthwise2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 14648 | } |
| 14649 | |
| 14650 | // aten::_conv_depthwise2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation) -> Tensor |
| 14651 | inline at::Tensor _conv_depthwise2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) { |
| 14652 | return at::_ops::_conv_depthwise2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation); |
| 14653 | } |
| 14654 | |
| 14655 | // aten::_conv_depthwise2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias, int[2] stride, SymInt[2] padding, int[2] dilation) -> Tensor |
| 14656 | inline at::Tensor _conv_depthwise2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation) { |
| 14657 | return at::_ops::_conv_depthwise2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation); |
| 14658 | } |
| 14659 | |
| 14660 | // aten::conv_depthwise3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation) -> Tensor |
| 14661 | inline at::Tensor conv_depthwise3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) { |
| 14662 | return at::_ops::conv_depthwise3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation); |
| 14663 | } |
| 14664 | |
| 14665 | // aten::conv_depthwise3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation) -> Tensor |
| 14666 | inline at::Tensor conv_depthwise3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation) { |
| 14667 | return at::_ops::conv_depthwise3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation); |
| 14668 | } |
| 14669 | |
| 14670 | // aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!) |
| 14671 | inline at::Tensor & slow_conv3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) { |
| 14672 | return at::_ops::slow_conv3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), out); |
| 14673 | } |
| 14674 | |
| 14675 | // aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!) |
| 14676 | inline at::Tensor & slow_conv3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & out) { |
| 14677 | return at::_ops::slow_conv3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), out); |
| 14678 | } |
| 14679 | |
| 14680 | // aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!) |
| 14681 | inline at::Tensor & slow_conv3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0)) { |
| 14682 | return at::_ops::slow_conv3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out); |
| 14683 | } |
| 14684 | |
| 14685 | // aten::slow_conv3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, *, Tensor(a!) out) -> Tensor(a!) |
| 14686 | inline at::Tensor & slow_conv3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::Tensor & out) { |
| 14687 | return at::_ops::slow_conv3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, out); |
| 14688 | } |
| 14689 | |
| 14690 | // aten::slow_conv3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0) -> Tensor |
| 14691 | inline at::Tensor slow_conv3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0) { |
| 14692 | return at::_ops::slow_conv3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding)); |
| 14693 | } |
| 14694 | |
| 14695 | // aten::slow_conv3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0) -> Tensor |
| 14696 | inline at::Tensor slow_conv3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0)) { |
| 14697 | return at::_ops::slow_conv3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding); |
| 14698 | } |
| 14699 | |
| 14700 | // aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!) |
| 14701 | inline at::Tensor & slow_conv3d_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 14702 | return at::_ops::slow_conv3d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), output); |
| 14703 | } |
| 14704 | |
| 14705 | // aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!) |
| 14706 | inline at::Tensor & slow_conv3d_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::Tensor & output) { |
| 14707 | return at::_ops::slow_conv3d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), output); |
| 14708 | } |
| 14709 | |
| 14710 | // aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!) |
| 14711 | inline at::Tensor & slow_conv3d_forward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding) { |
| 14712 | return at::_ops::slow_conv3d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output); |
| 14713 | } |
| 14714 | |
| 14715 | // aten::slow_conv3d_forward.output(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, *, Tensor(a!) output) -> Tensor(a!) |
| 14716 | inline at::Tensor & slow_conv3d_forward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::Tensor & output) { |
| 14717 | return at::_ops::slow_conv3d_forward_output::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, output); |
| 14718 | } |
| 14719 | |
| 14720 | // aten::slow_conv3d_forward(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding) -> Tensor |
| 14721 | inline at::Tensor slow_conv3d_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 14722 | return at::_ops::slow_conv3d_forward::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding)); |
| 14723 | } |
| 14724 | |
| 14725 | // aten::slow_conv3d_forward(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding) -> Tensor |
| 14726 | inline at::Tensor slow_conv3d_forward_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding) { |
| 14727 | return at::_ops::slow_conv3d_forward::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding); |
| 14728 | } |
| 14729 | |
| 14730 | // aten::slow_conv_dilated2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1) -> Tensor |
| 14731 | inline at::Tensor slow_conv_dilated2d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1) { |
| 14732 | return at::_ops::slow_conv_dilated2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation); |
| 14733 | } |
| 14734 | |
| 14735 | // aten::slow_conv_dilated2d(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1) -> Tensor |
| 14736 | inline at::Tensor slow_conv_dilated2d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 14737 | return at::_ops::slow_conv_dilated2d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation); |
| 14738 | } |
| 14739 | |
| 14740 | // aten::slow_conv_dilated3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1) -> Tensor |
| 14741 | inline at::Tensor slow_conv_dilated3d(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1) { |
| 14742 | return at::_ops::slow_conv_dilated3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation); |
| 14743 | } |
| 14744 | |
| 14745 | // aten::slow_conv_dilated3d(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1) -> Tensor |
| 14746 | inline at::Tensor slow_conv_dilated3d_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 14747 | return at::_ops::slow_conv_dilated3d::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation); |
| 14748 | } |
| 14749 | |
| 14750 | // aten::col2im.out(Tensor self, SymInt[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 14751 | inline at::Tensor & col2im_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) { |
| 14752 | return at::_ops::col2im_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), kernel_size, dilation, padding, stride, out); |
| 14753 | } |
| 14754 | |
| 14755 | // aten::col2im.out(Tensor self, SymInt[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 14756 | inline at::Tensor & col2im_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) { |
| 14757 | return at::_ops::col2im_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), kernel_size, dilation, padding, stride, out); |
| 14758 | } |
| 14759 | |
| 14760 | // aten::col2im.out(Tensor self, SymInt[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 14761 | inline at::Tensor & col2im_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) { |
| 14762 | return at::_ops::col2im_out::redispatch(dispatchKeySet, self, output_size, kernel_size, dilation, padding, stride, out); |
| 14763 | } |
| 14764 | |
| 14765 | // aten::col2im.out(Tensor self, SymInt[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 14766 | inline at::Tensor & col2im_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) { |
| 14767 | return at::_ops::col2im_out::redispatch(dispatchKeySet, self, output_size, kernel_size, dilation, padding, stride, out); |
| 14768 | } |
| 14769 | |
| 14770 | // aten::col2im(Tensor self, SymInt[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride) -> Tensor |
| 14771 | inline at::Tensor col2im(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) { |
| 14772 | return at::_ops::col2im::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), kernel_size, dilation, padding, stride); |
| 14773 | } |
| 14774 | |
| 14775 | // aten::col2im(Tensor self, SymInt[2] output_size, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride) -> Tensor |
| 14776 | inline at::Tensor col2im_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) { |
| 14777 | return at::_ops::col2im::redispatch(dispatchKeySet, self, output_size, kernel_size, dilation, padding, stride); |
| 14778 | } |
| 14779 | |
| 14780 | // aten::column_stack(Tensor[] tensors) -> Tensor |
| 14781 | inline at::Tensor column_stack(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 14782 | return at::_ops::column_stack::redispatch(dispatchKeySet, tensors); |
| 14783 | } |
| 14784 | |
| 14785 | // aten::column_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 14786 | inline at::Tensor & column_stack_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) { |
| 14787 | return at::_ops::column_stack_out::redispatch(dispatchKeySet, tensors, out); |
| 14788 | } |
| 14789 | |
| 14790 | // aten::column_stack.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 14791 | inline at::Tensor & column_stack_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) { |
| 14792 | return at::_ops::column_stack_out::redispatch(dispatchKeySet, tensors, out); |
| 14793 | } |
| 14794 | |
| 14795 | // aten::im2col.out(Tensor self, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 14796 | inline at::Tensor & im2col_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) { |
| 14797 | return at::_ops::im2col_out::redispatch(dispatchKeySet, self, kernel_size, dilation, padding, stride, out); |
| 14798 | } |
| 14799 | |
| 14800 | // aten::im2col.out(Tensor self, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 14801 | inline at::Tensor & im2col_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) { |
| 14802 | return at::_ops::im2col_out::redispatch(dispatchKeySet, self, kernel_size, dilation, padding, stride, out); |
| 14803 | } |
| 14804 | |
| 14805 | // aten::im2col(Tensor self, int[2] kernel_size, int[2] dilation, int[2] padding, int[2] stride) -> Tensor |
| 14806 | inline at::Tensor im2col(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef dilation, at::IntArrayRef padding, at::IntArrayRef stride) { |
| 14807 | return at::_ops::im2col::redispatch(dispatchKeySet, self, kernel_size, dilation, padding, stride); |
| 14808 | } |
| 14809 | |
| 14810 | // aten::isfinite(Tensor self) -> Tensor |
| 14811 | inline at::Tensor isfinite(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14812 | return at::_ops::isfinite::redispatch(dispatchKeySet, self); |
| 14813 | } |
| 14814 | |
| 14815 | // aten::isinf(Tensor self) -> Tensor |
| 14816 | inline at::Tensor isinf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14817 | return at::_ops::isinf::redispatch(dispatchKeySet, self); |
| 14818 | } |
| 14819 | |
| 14820 | // aten::record_stream(Tensor(a!) self, Stream s) -> () |
| 14821 | inline void record_stream(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, at::Stream s) { |
| 14822 | return at::_ops::record_stream::redispatch(dispatchKeySet, self, s); |
| 14823 | } |
| 14824 | |
| 14825 | // aten::isposinf(Tensor self) -> Tensor |
| 14826 | inline at::Tensor isposinf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14827 | return at::_ops::isposinf::redispatch(dispatchKeySet, self); |
| 14828 | } |
| 14829 | |
| 14830 | // aten::isposinf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14831 | inline at::Tensor & isposinf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14832 | return at::_ops::isposinf_out::redispatch(dispatchKeySet, self, out); |
| 14833 | } |
| 14834 | |
| 14835 | // aten::isposinf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14836 | inline at::Tensor & isposinf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14837 | return at::_ops::isposinf_out::redispatch(dispatchKeySet, self, out); |
| 14838 | } |
| 14839 | |
| 14840 | // aten::isneginf(Tensor self) -> Tensor |
| 14841 | inline at::Tensor isneginf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14842 | return at::_ops::isneginf::redispatch(dispatchKeySet, self); |
| 14843 | } |
| 14844 | |
| 14845 | // aten::isneginf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14846 | inline at::Tensor & isneginf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14847 | return at::_ops::isneginf_out::redispatch(dispatchKeySet, self, out); |
| 14848 | } |
| 14849 | |
| 14850 | // aten::isneginf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14851 | inline at::Tensor & isneginf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14852 | return at::_ops::isneginf_out::redispatch(dispatchKeySet, self, out); |
| 14853 | } |
| 14854 | |
| 14855 | // aten::_add_batch_dim(Tensor self, int batch_dim, int level) -> Tensor |
| 14856 | inline at::Tensor _add_batch_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t batch_dim, int64_t level) { |
| 14857 | return at::_ops::_add_batch_dim::redispatch(dispatchKeySet, self, batch_dim, level); |
| 14858 | } |
| 14859 | |
| 14860 | // aten::_remove_batch_dim(Tensor self, int level, int batch_size, int out_dim) -> Tensor |
| 14861 | inline at::Tensor _remove_batch_dim(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t level, int64_t batch_size, int64_t out_dim) { |
| 14862 | return at::_ops::_remove_batch_dim::redispatch(dispatchKeySet, self, level, batch_size, out_dim); |
| 14863 | } |
| 14864 | |
| 14865 | // aten::special_entr(Tensor self) -> Tensor |
| 14866 | inline at::Tensor special_entr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14867 | return at::_ops::special_entr::redispatch(dispatchKeySet, self); |
| 14868 | } |
| 14869 | |
| 14870 | // aten::special_entr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14871 | inline at::Tensor & special_entr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14872 | return at::_ops::special_entr_out::redispatch(dispatchKeySet, self, out); |
| 14873 | } |
| 14874 | |
| 14875 | // aten::special_entr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14876 | inline at::Tensor & special_entr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14877 | return at::_ops::special_entr_out::redispatch(dispatchKeySet, self, out); |
| 14878 | } |
| 14879 | |
| 14880 | // aten::special_ndtri(Tensor self) -> Tensor |
| 14881 | inline at::Tensor special_ndtri(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14882 | return at::_ops::special_ndtri::redispatch(dispatchKeySet, self); |
| 14883 | } |
| 14884 | |
| 14885 | // aten::special_ndtri.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14886 | inline at::Tensor & special_ndtri_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14887 | return at::_ops::special_ndtri_out::redispatch(dispatchKeySet, self, out); |
| 14888 | } |
| 14889 | |
| 14890 | // aten::special_ndtri.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14891 | inline at::Tensor & special_ndtri_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14892 | return at::_ops::special_ndtri_out::redispatch(dispatchKeySet, self, out); |
| 14893 | } |
| 14894 | |
| 14895 | // aten::special_log_ndtr(Tensor self) -> Tensor |
| 14896 | inline at::Tensor special_log_ndtr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14897 | return at::_ops::special_log_ndtr::redispatch(dispatchKeySet, self); |
| 14898 | } |
| 14899 | |
| 14900 | // aten::special_log_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14901 | inline at::Tensor & special_log_ndtr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14902 | return at::_ops::special_log_ndtr_out::redispatch(dispatchKeySet, self, out); |
| 14903 | } |
| 14904 | |
| 14905 | // aten::special_log_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14906 | inline at::Tensor & special_log_ndtr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14907 | return at::_ops::special_log_ndtr_out::redispatch(dispatchKeySet, self, out); |
| 14908 | } |
| 14909 | |
| 14910 | // aten::special_expm1(Tensor self) -> Tensor |
| 14911 | inline at::Tensor special_expm1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14912 | return at::_ops::special_expm1::redispatch(dispatchKeySet, self); |
| 14913 | } |
| 14914 | |
| 14915 | // aten::special_expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14916 | inline at::Tensor & special_expm1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14917 | return at::_ops::special_expm1_out::redispatch(dispatchKeySet, self, out); |
| 14918 | } |
| 14919 | |
| 14920 | // aten::special_expm1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14921 | inline at::Tensor & special_expm1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14922 | return at::_ops::special_expm1_out::redispatch(dispatchKeySet, self, out); |
| 14923 | } |
| 14924 | |
| 14925 | // aten::special_exp2(Tensor self) -> Tensor |
| 14926 | inline at::Tensor special_exp2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14927 | return at::_ops::special_exp2::redispatch(dispatchKeySet, self); |
| 14928 | } |
| 14929 | |
| 14930 | // aten::special_exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14931 | inline at::Tensor & special_exp2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14932 | return at::_ops::special_exp2_out::redispatch(dispatchKeySet, self, out); |
| 14933 | } |
| 14934 | |
| 14935 | // aten::special_exp2.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14936 | inline at::Tensor & special_exp2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14937 | return at::_ops::special_exp2_out::redispatch(dispatchKeySet, self, out); |
| 14938 | } |
| 14939 | |
| 14940 | // aten::special_psi(Tensor self) -> Tensor |
| 14941 | inline at::Tensor special_psi(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14942 | return at::_ops::special_psi::redispatch(dispatchKeySet, self); |
| 14943 | } |
| 14944 | |
| 14945 | // aten::special_psi.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14946 | inline at::Tensor & special_psi_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14947 | return at::_ops::special_psi_out::redispatch(dispatchKeySet, self, out); |
| 14948 | } |
| 14949 | |
| 14950 | // aten::special_psi.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14951 | inline at::Tensor & special_psi_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14952 | return at::_ops::special_psi_out::redispatch(dispatchKeySet, self, out); |
| 14953 | } |
| 14954 | |
| 14955 | // aten::special_digamma(Tensor self) -> Tensor |
| 14956 | inline at::Tensor special_digamma(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14957 | return at::_ops::special_digamma::redispatch(dispatchKeySet, self); |
| 14958 | } |
| 14959 | |
| 14960 | // aten::special_digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14961 | inline at::Tensor & special_digamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14962 | return at::_ops::special_digamma_out::redispatch(dispatchKeySet, self, out); |
| 14963 | } |
| 14964 | |
| 14965 | // aten::special_digamma.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14966 | inline at::Tensor & special_digamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14967 | return at::_ops::special_digamma_out::redispatch(dispatchKeySet, self, out); |
| 14968 | } |
| 14969 | |
| 14970 | // aten::special_gammaln(Tensor self) -> Tensor |
| 14971 | inline at::Tensor special_gammaln(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14972 | return at::_ops::special_gammaln::redispatch(dispatchKeySet, self); |
| 14973 | } |
| 14974 | |
| 14975 | // aten::special_gammaln.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14976 | inline at::Tensor & special_gammaln_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14977 | return at::_ops::special_gammaln_out::redispatch(dispatchKeySet, self, out); |
| 14978 | } |
| 14979 | |
| 14980 | // aten::special_gammaln.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14981 | inline at::Tensor & special_gammaln_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14982 | return at::_ops::special_gammaln_out::redispatch(dispatchKeySet, self, out); |
| 14983 | } |
| 14984 | |
| 14985 | // aten::special_erf(Tensor self) -> Tensor |
| 14986 | inline at::Tensor special_erf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 14987 | return at::_ops::special_erf::redispatch(dispatchKeySet, self); |
| 14988 | } |
| 14989 | |
| 14990 | // aten::special_erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14991 | inline at::Tensor & special_erf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 14992 | return at::_ops::special_erf_out::redispatch(dispatchKeySet, self, out); |
| 14993 | } |
| 14994 | |
| 14995 | // aten::special_erf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 14996 | inline at::Tensor & special_erf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 14997 | return at::_ops::special_erf_out::redispatch(dispatchKeySet, self, out); |
| 14998 | } |
| 14999 | |
| 15000 | // aten::special_erfc(Tensor self) -> Tensor |
| 15001 | inline at::Tensor special_erfc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15002 | return at::_ops::special_erfc::redispatch(dispatchKeySet, self); |
| 15003 | } |
| 15004 | |
| 15005 | // aten::special_erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15006 | inline at::Tensor & special_erfc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15007 | return at::_ops::special_erfc_out::redispatch(dispatchKeySet, self, out); |
| 15008 | } |
| 15009 | |
| 15010 | // aten::special_erfc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15011 | inline at::Tensor & special_erfc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15012 | return at::_ops::special_erfc_out::redispatch(dispatchKeySet, self, out); |
| 15013 | } |
| 15014 | |
| 15015 | // aten::special_erfcx(Tensor self) -> Tensor |
| 15016 | inline at::Tensor special_erfcx(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15017 | return at::_ops::special_erfcx::redispatch(dispatchKeySet, self); |
| 15018 | } |
| 15019 | |
| 15020 | // aten::special_erfcx.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15021 | inline at::Tensor & special_erfcx_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15022 | return at::_ops::special_erfcx_out::redispatch(dispatchKeySet, self, out); |
| 15023 | } |
| 15024 | |
| 15025 | // aten::special_erfcx.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15026 | inline at::Tensor & special_erfcx_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15027 | return at::_ops::special_erfcx_out::redispatch(dispatchKeySet, self, out); |
| 15028 | } |
| 15029 | |
| 15030 | // aten::special_erfinv(Tensor self) -> Tensor |
| 15031 | inline at::Tensor special_erfinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15032 | return at::_ops::special_erfinv::redispatch(dispatchKeySet, self); |
| 15033 | } |
| 15034 | |
| 15035 | // aten::special_erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15036 | inline at::Tensor & special_erfinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15037 | return at::_ops::special_erfinv_out::redispatch(dispatchKeySet, self, out); |
| 15038 | } |
| 15039 | |
| 15040 | // aten::special_erfinv.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15041 | inline at::Tensor & special_erfinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15042 | return at::_ops::special_erfinv_out::redispatch(dispatchKeySet, self, out); |
| 15043 | } |
| 15044 | |
| 15045 | // aten::special_ndtr(Tensor self) -> Tensor |
| 15046 | inline at::Tensor special_ndtr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15047 | return at::_ops::special_ndtr::redispatch(dispatchKeySet, self); |
| 15048 | } |
| 15049 | |
| 15050 | // aten::special_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15051 | inline at::Tensor & special_ndtr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15052 | return at::_ops::special_ndtr_out::redispatch(dispatchKeySet, self, out); |
| 15053 | } |
| 15054 | |
| 15055 | // aten::special_ndtr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15056 | inline at::Tensor & special_ndtr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15057 | return at::_ops::special_ndtr_out::redispatch(dispatchKeySet, self, out); |
| 15058 | } |
| 15059 | |
| 15060 | // aten::special_xlog1py(Tensor self, Tensor other) -> Tensor |
| 15061 | inline at::Tensor special_xlog1py(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 15062 | return at::_ops::special_xlog1py::redispatch(dispatchKeySet, self, other); |
| 15063 | } |
| 15064 | |
| 15065 | // aten::special_xlog1py.self_scalar(Scalar self, Tensor other) -> Tensor |
| 15066 | inline at::Tensor special_xlog1py(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 15067 | return at::_ops::special_xlog1py_self_scalar::redispatch(dispatchKeySet, self, other); |
| 15068 | } |
| 15069 | |
| 15070 | // aten::special_xlog1py.other_scalar(Tensor self, Scalar other) -> Tensor |
| 15071 | inline at::Tensor special_xlog1py(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 15072 | return at::_ops::special_xlog1py_other_scalar::redispatch(dispatchKeySet, self, other); |
| 15073 | } |
| 15074 | |
| 15075 | // aten::special_xlog1py.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15076 | inline at::Tensor & special_xlog1py_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 15077 | return at::_ops::special_xlog1py_out::redispatch(dispatchKeySet, self, other, out); |
| 15078 | } |
| 15079 | |
| 15080 | // aten::special_xlog1py.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15081 | inline at::Tensor & special_xlog1py_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 15082 | return at::_ops::special_xlog1py_out::redispatch(dispatchKeySet, self, other, out); |
| 15083 | } |
| 15084 | |
| 15085 | // aten::special_xlog1py.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15086 | inline at::Tensor & special_xlog1py_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 15087 | return at::_ops::special_xlog1py_self_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15088 | } |
| 15089 | |
| 15090 | // aten::special_xlog1py.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15091 | inline at::Tensor & special_xlog1py_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 15092 | return at::_ops::special_xlog1py_self_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15093 | } |
| 15094 | |
| 15095 | // aten::special_xlog1py.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 15096 | inline at::Tensor & special_xlog1py_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 15097 | return at::_ops::special_xlog1py_other_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15098 | } |
| 15099 | |
| 15100 | // aten::special_xlog1py.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 15101 | inline at::Tensor & special_xlog1py_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 15102 | return at::_ops::special_xlog1py_other_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15103 | } |
| 15104 | |
| 15105 | // aten::special_xlogy(Tensor self, Tensor other) -> Tensor |
| 15106 | inline at::Tensor special_xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 15107 | return at::_ops::special_xlogy::redispatch(dispatchKeySet, self, other); |
| 15108 | } |
| 15109 | |
| 15110 | // aten::special_xlogy.self_scalar(Scalar self, Tensor other) -> Tensor |
| 15111 | inline at::Tensor special_xlogy(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 15112 | return at::_ops::special_xlogy_self_scalar::redispatch(dispatchKeySet, self, other); |
| 15113 | } |
| 15114 | |
| 15115 | // aten::special_xlogy.other_scalar(Tensor self, Scalar other) -> Tensor |
| 15116 | inline at::Tensor special_xlogy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 15117 | return at::_ops::special_xlogy_other_scalar::redispatch(dispatchKeySet, self, other); |
| 15118 | } |
| 15119 | |
| 15120 | // aten::special_xlogy.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15121 | inline at::Tensor & special_xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 15122 | return at::_ops::special_xlogy_out::redispatch(dispatchKeySet, self, other, out); |
| 15123 | } |
| 15124 | |
| 15125 | // aten::special_xlogy.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15126 | inline at::Tensor & special_xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 15127 | return at::_ops::special_xlogy_out::redispatch(dispatchKeySet, self, other, out); |
| 15128 | } |
| 15129 | |
| 15130 | // aten::special_xlogy.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15131 | inline at::Tensor & special_xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 15132 | return at::_ops::special_xlogy_self_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15133 | } |
| 15134 | |
| 15135 | // aten::special_xlogy.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15136 | inline at::Tensor & special_xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 15137 | return at::_ops::special_xlogy_self_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15138 | } |
| 15139 | |
| 15140 | // aten::special_xlogy.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 15141 | inline at::Tensor & special_xlogy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 15142 | return at::_ops::special_xlogy_other_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15143 | } |
| 15144 | |
| 15145 | // aten::special_xlogy.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 15146 | inline at::Tensor & special_xlogy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 15147 | return at::_ops::special_xlogy_other_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15148 | } |
| 15149 | |
| 15150 | // aten::special_zeta(Tensor self, Tensor other) -> Tensor |
| 15151 | inline at::Tensor special_zeta(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 15152 | return at::_ops::special_zeta::redispatch(dispatchKeySet, self, other); |
| 15153 | } |
| 15154 | |
| 15155 | // aten::special_zeta.self_scalar(Scalar self, Tensor other) -> Tensor |
| 15156 | inline at::Tensor special_zeta(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other) { |
| 15157 | return at::_ops::special_zeta_self_scalar::redispatch(dispatchKeySet, self, other); |
| 15158 | } |
| 15159 | |
| 15160 | // aten::special_zeta.other_scalar(Tensor self, Scalar other) -> Tensor |
| 15161 | inline at::Tensor special_zeta(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other) { |
| 15162 | return at::_ops::special_zeta_other_scalar::redispatch(dispatchKeySet, self, other); |
| 15163 | } |
| 15164 | |
| 15165 | // aten::special_zeta.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15166 | inline at::Tensor & special_zeta_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 15167 | return at::_ops::special_zeta_out::redispatch(dispatchKeySet, self, other, out); |
| 15168 | } |
| 15169 | |
| 15170 | // aten::special_zeta.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15171 | inline at::Tensor & special_zeta_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 15172 | return at::_ops::special_zeta_out::redispatch(dispatchKeySet, self, other, out); |
| 15173 | } |
| 15174 | |
| 15175 | // aten::special_zeta.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15176 | inline at::Tensor & special_zeta_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 15177 | return at::_ops::special_zeta_self_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15178 | } |
| 15179 | |
| 15180 | // aten::special_zeta.self_scalar_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15181 | inline at::Tensor & special_zeta_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 15182 | return at::_ops::special_zeta_self_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15183 | } |
| 15184 | |
| 15185 | // aten::special_zeta.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 15186 | inline at::Tensor & special_zeta_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 15187 | return at::_ops::special_zeta_other_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15188 | } |
| 15189 | |
| 15190 | // aten::special_zeta.other_scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 15191 | inline at::Tensor & special_zeta_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 15192 | return at::_ops::special_zeta_other_scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 15193 | } |
| 15194 | |
| 15195 | // aten::special_i0(Tensor self) -> Tensor |
| 15196 | inline at::Tensor special_i0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15197 | return at::_ops::special_i0::redispatch(dispatchKeySet, self); |
| 15198 | } |
| 15199 | |
| 15200 | // aten::special_i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15201 | inline at::Tensor & special_i0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15202 | return at::_ops::special_i0_out::redispatch(dispatchKeySet, self, out); |
| 15203 | } |
| 15204 | |
| 15205 | // aten::special_i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15206 | inline at::Tensor & special_i0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15207 | return at::_ops::special_i0_out::redispatch(dispatchKeySet, self, out); |
| 15208 | } |
| 15209 | |
| 15210 | // aten::special_i0e(Tensor self) -> Tensor |
| 15211 | inline at::Tensor special_i0e(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15212 | return at::_ops::special_i0e::redispatch(dispatchKeySet, self); |
| 15213 | } |
| 15214 | |
| 15215 | // aten::special_i0e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15216 | inline at::Tensor & special_i0e_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15217 | return at::_ops::special_i0e_out::redispatch(dispatchKeySet, self, out); |
| 15218 | } |
| 15219 | |
| 15220 | // aten::special_i0e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15221 | inline at::Tensor & special_i0e_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15222 | return at::_ops::special_i0e_out::redispatch(dispatchKeySet, self, out); |
| 15223 | } |
| 15224 | |
| 15225 | // aten::special_i1(Tensor self) -> Tensor |
| 15226 | inline at::Tensor special_i1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15227 | return at::_ops::special_i1::redispatch(dispatchKeySet, self); |
| 15228 | } |
| 15229 | |
| 15230 | // aten::special_i1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15231 | inline at::Tensor & special_i1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15232 | return at::_ops::special_i1_out::redispatch(dispatchKeySet, self, out); |
| 15233 | } |
| 15234 | |
| 15235 | // aten::special_i1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15236 | inline at::Tensor & special_i1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15237 | return at::_ops::special_i1_out::redispatch(dispatchKeySet, self, out); |
| 15238 | } |
| 15239 | |
| 15240 | // aten::special_i1e(Tensor self) -> Tensor |
| 15241 | inline at::Tensor special_i1e(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15242 | return at::_ops::special_i1e::redispatch(dispatchKeySet, self); |
| 15243 | } |
| 15244 | |
| 15245 | // aten::special_i1e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15246 | inline at::Tensor & special_i1e_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15247 | return at::_ops::special_i1e_out::redispatch(dispatchKeySet, self, out); |
| 15248 | } |
| 15249 | |
| 15250 | // aten::special_i1e.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15251 | inline at::Tensor & special_i1e_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15252 | return at::_ops::special_i1e_out::redispatch(dispatchKeySet, self, out); |
| 15253 | } |
| 15254 | |
| 15255 | // aten::special_logit(Tensor self, float? eps=None) -> Tensor |
| 15256 | inline at::Tensor special_logit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) { |
| 15257 | return at::_ops::special_logit::redispatch(dispatchKeySet, self, eps); |
| 15258 | } |
| 15259 | |
| 15260 | // aten::special_logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15261 | inline at::Tensor & special_logit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> eps=c10::nullopt) { |
| 15262 | return at::_ops::special_logit_out::redispatch(dispatchKeySet, self, eps, out); |
| 15263 | } |
| 15264 | |
| 15265 | // aten::special_logit.out(Tensor self, float? eps=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15266 | inline at::Tensor & special_logit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> eps, at::Tensor & out) { |
| 15267 | return at::_ops::special_logit_out::redispatch(dispatchKeySet, self, eps, out); |
| 15268 | } |
| 15269 | |
| 15270 | // aten::special_polygamma(int n, Tensor self) -> Tensor |
| 15271 | inline at::Tensor special_polygamma(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self) { |
| 15272 | return at::_ops::special_polygamma::redispatch(dispatchKeySet, n, self); |
| 15273 | } |
| 15274 | |
| 15275 | // aten::special_polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15276 | inline at::Tensor & special_polygamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, const at::Tensor & self) { |
| 15277 | return at::_ops::special_polygamma_out::redispatch(dispatchKeySet, n, self, out); |
| 15278 | } |
| 15279 | |
| 15280 | // aten::special_polygamma.out(int n, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15281 | inline at::Tensor & special_polygamma_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, const at::Tensor & self, at::Tensor & out) { |
| 15282 | return at::_ops::special_polygamma_out::redispatch(dispatchKeySet, n, self, out); |
| 15283 | } |
| 15284 | |
| 15285 | // aten::special_logsumexp(Tensor self, int[1] dim, bool keepdim=False) -> Tensor |
| 15286 | inline at::Tensor special_logsumexp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 15287 | return at::_ops::special_logsumexp::redispatch(dispatchKeySet, self, dim, keepdim); |
| 15288 | } |
| 15289 | |
| 15290 | // aten::special_logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 15291 | inline at::Tensor & special_logsumexp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false) { |
| 15292 | return at::_ops::special_logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 15293 | } |
| 15294 | |
| 15295 | // aten::special_logsumexp.out(Tensor self, int[1] dim, bool keepdim=False, *, Tensor(a!) out) -> Tensor(a!) |
| 15296 | inline at::Tensor & special_logsumexp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 15297 | return at::_ops::special_logsumexp_out::redispatch(dispatchKeySet, self, dim, keepdim, out); |
| 15298 | } |
| 15299 | |
| 15300 | // aten::special_expit(Tensor self) -> Tensor |
| 15301 | inline at::Tensor special_expit(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15302 | return at::_ops::special_expit::redispatch(dispatchKeySet, self); |
| 15303 | } |
| 15304 | |
| 15305 | // aten::special_expit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15306 | inline at::Tensor & special_expit_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15307 | return at::_ops::special_expit_out::redispatch(dispatchKeySet, self, out); |
| 15308 | } |
| 15309 | |
| 15310 | // aten::special_expit.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15311 | inline at::Tensor & special_expit_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15312 | return at::_ops::special_expit_out::redispatch(dispatchKeySet, self, out); |
| 15313 | } |
| 15314 | |
| 15315 | // aten::special_sinc(Tensor self) -> Tensor |
| 15316 | inline at::Tensor special_sinc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15317 | return at::_ops::special_sinc::redispatch(dispatchKeySet, self); |
| 15318 | } |
| 15319 | |
| 15320 | // aten::special_sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15321 | inline at::Tensor & special_sinc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15322 | return at::_ops::special_sinc_out::redispatch(dispatchKeySet, self, out); |
| 15323 | } |
| 15324 | |
| 15325 | // aten::special_sinc.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15326 | inline at::Tensor & special_sinc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15327 | return at::_ops::special_sinc_out::redispatch(dispatchKeySet, self, out); |
| 15328 | } |
| 15329 | |
| 15330 | // aten::special_round(Tensor self, *, int decimals=0) -> Tensor |
| 15331 | inline at::Tensor special_round(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t decimals=0) { |
| 15332 | return at::_ops::special_round::redispatch(dispatchKeySet, self, decimals); |
| 15333 | } |
| 15334 | |
| 15335 | // aten::special_round.out(Tensor self, *, int decimals=0, Tensor(a!) out) -> Tensor(a!) |
| 15336 | inline at::Tensor & special_round_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t decimals=0) { |
| 15337 | return at::_ops::special_round_out::redispatch(dispatchKeySet, self, decimals, out); |
| 15338 | } |
| 15339 | |
| 15340 | // aten::special_round.out(Tensor self, *, int decimals=0, Tensor(a!) out) -> Tensor(a!) |
| 15341 | inline at::Tensor & special_round_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t decimals, at::Tensor & out) { |
| 15342 | return at::_ops::special_round_out::redispatch(dispatchKeySet, self, decimals, out); |
| 15343 | } |
| 15344 | |
| 15345 | // aten::special_log1p(Tensor self) -> Tensor |
| 15346 | inline at::Tensor special_log1p(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15347 | return at::_ops::special_log1p::redispatch(dispatchKeySet, self); |
| 15348 | } |
| 15349 | |
| 15350 | // aten::special_log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15351 | inline at::Tensor & special_log1p_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 15352 | return at::_ops::special_log1p_out::redispatch(dispatchKeySet, self, out); |
| 15353 | } |
| 15354 | |
| 15355 | // aten::special_log1p.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 15356 | inline at::Tensor & special_log1p_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 15357 | return at::_ops::special_log1p_out::redispatch(dispatchKeySet, self, out); |
| 15358 | } |
| 15359 | |
| 15360 | // aten::special_log_softmax(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor |
| 15361 | inline at::Tensor special_log_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 15362 | return at::_ops::special_log_softmax::redispatch(dispatchKeySet, self, dim, dtype); |
| 15363 | } |
| 15364 | |
| 15365 | // aten::special_gammainc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15366 | inline at::Tensor & special_gammainc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 15367 | return at::_ops::special_gammainc_out::redispatch(dispatchKeySet, self, other, out); |
| 15368 | } |
| 15369 | |
| 15370 | // aten::special_gammainc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15371 | inline at::Tensor & special_gammainc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 15372 | return at::_ops::special_gammainc_out::redispatch(dispatchKeySet, self, other, out); |
| 15373 | } |
| 15374 | |
| 15375 | // aten::special_gammainc(Tensor self, Tensor other) -> Tensor |
| 15376 | inline at::Tensor special_gammainc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 15377 | return at::_ops::special_gammainc::redispatch(dispatchKeySet, self, other); |
| 15378 | } |
| 15379 | |
| 15380 | // aten::special_gammaincc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15381 | inline at::Tensor & special_gammaincc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 15382 | return at::_ops::special_gammaincc_out::redispatch(dispatchKeySet, self, other, out); |
| 15383 | } |
| 15384 | |
| 15385 | // aten::special_gammaincc.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15386 | inline at::Tensor & special_gammaincc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 15387 | return at::_ops::special_gammaincc_out::redispatch(dispatchKeySet, self, other, out); |
| 15388 | } |
| 15389 | |
| 15390 | // aten::special_gammaincc(Tensor self, Tensor other) -> Tensor |
| 15391 | inline at::Tensor special_gammaincc(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 15392 | return at::_ops::special_gammaincc::redispatch(dispatchKeySet, self, other); |
| 15393 | } |
| 15394 | |
| 15395 | // aten::special_multigammaln(Tensor self, int p) -> Tensor |
| 15396 | inline at::Tensor special_multigammaln(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p) { |
| 15397 | return at::_ops::special_multigammaln::redispatch(dispatchKeySet, self, p); |
| 15398 | } |
| 15399 | |
| 15400 | // aten::special_multigammaln.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!) |
| 15401 | inline at::Tensor & special_multigammaln_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t p) { |
| 15402 | return at::_ops::special_multigammaln_out::redispatch(dispatchKeySet, self, p, out); |
| 15403 | } |
| 15404 | |
| 15405 | // aten::special_multigammaln.out(Tensor self, int p, *, Tensor(a!) out) -> Tensor(a!) |
| 15406 | inline at::Tensor & special_multigammaln_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t p, at::Tensor & out) { |
| 15407 | return at::_ops::special_multigammaln_out::redispatch(dispatchKeySet, self, p, out); |
| 15408 | } |
| 15409 | |
| 15410 | // aten::special_softmax(Tensor self, int dim, ScalarType? dtype=None) -> Tensor |
| 15411 | inline at::Tensor special_softmax(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 15412 | return at::_ops::special_softmax::redispatch(dispatchKeySet, self, dim, dtype); |
| 15413 | } |
| 15414 | |
| 15415 | // aten::fft_fft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor |
| 15416 | inline at::Tensor fft_fft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15417 | return at::_ops::fft_fft::redispatch(dispatchKeySet, self, n, dim, norm); |
| 15418 | } |
| 15419 | |
| 15420 | // aten::fft_fft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15421 | inline at::Tensor & fft_fft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15422 | return at::_ops::fft_fft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15423 | } |
| 15424 | |
| 15425 | // aten::fft_fft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15426 | inline at::Tensor & fft_fft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15427 | return at::_ops::fft_fft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15428 | } |
| 15429 | |
| 15430 | // aten::fft_ifft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor |
| 15431 | inline at::Tensor fft_ifft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15432 | return at::_ops::fft_ifft::redispatch(dispatchKeySet, self, n, dim, norm); |
| 15433 | } |
| 15434 | |
| 15435 | // aten::fft_ifft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15436 | inline at::Tensor & fft_ifft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15437 | return at::_ops::fft_ifft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15438 | } |
| 15439 | |
| 15440 | // aten::fft_ifft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15441 | inline at::Tensor & fft_ifft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15442 | return at::_ops::fft_ifft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15443 | } |
| 15444 | |
| 15445 | // aten::fft_rfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor |
| 15446 | inline at::Tensor fft_rfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15447 | return at::_ops::fft_rfft::redispatch(dispatchKeySet, self, n, dim, norm); |
| 15448 | } |
| 15449 | |
| 15450 | // aten::fft_rfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15451 | inline at::Tensor & fft_rfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15452 | return at::_ops::fft_rfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15453 | } |
| 15454 | |
| 15455 | // aten::fft_rfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15456 | inline at::Tensor & fft_rfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15457 | return at::_ops::fft_rfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15458 | } |
| 15459 | |
| 15460 | // aten::fft_irfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor |
| 15461 | inline at::Tensor fft_irfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15462 | return at::_ops::fft_irfft::redispatch(dispatchKeySet, self, n, dim, norm); |
| 15463 | } |
| 15464 | |
| 15465 | // aten::fft_irfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15466 | inline at::Tensor & fft_irfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15467 | return at::_ops::fft_irfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15468 | } |
| 15469 | |
| 15470 | // aten::fft_irfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15471 | inline at::Tensor & fft_irfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15472 | return at::_ops::fft_irfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15473 | } |
| 15474 | |
| 15475 | // aten::fft_hfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor |
| 15476 | inline at::Tensor fft_hfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15477 | return at::_ops::fft_hfft::redispatch(dispatchKeySet, self, n, dim, norm); |
| 15478 | } |
| 15479 | |
| 15480 | // aten::fft_hfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15481 | inline at::Tensor & fft_hfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15482 | return at::_ops::fft_hfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15483 | } |
| 15484 | |
| 15485 | // aten::fft_hfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15486 | inline at::Tensor & fft_hfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15487 | return at::_ops::fft_hfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15488 | } |
| 15489 | |
| 15490 | // aten::fft_ihfft(Tensor self, int? n=None, int dim=-1, str? norm=None) -> Tensor |
| 15491 | inline at::Tensor fft_ihfft(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15492 | return at::_ops::fft_ihfft::redispatch(dispatchKeySet, self, n, dim, norm); |
| 15493 | } |
| 15494 | |
| 15495 | // aten::fft_ihfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15496 | inline at::Tensor & fft_ihfft_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n=c10::nullopt, int64_t dim=-1, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15497 | return at::_ops::fft_ihfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15498 | } |
| 15499 | |
| 15500 | // aten::fft_ihfft.out(Tensor self, int? n=None, int dim=-1, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15501 | inline at::Tensor & fft_ihfft_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15502 | return at::_ops::fft_ihfft_out::redispatch(dispatchKeySet, self, n, dim, norm, out); |
| 15503 | } |
| 15504 | |
| 15505 | // aten::fft_fft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor |
| 15506 | inline at::Tensor fft_fft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15507 | return at::_ops::fft_fft2::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15508 | } |
| 15509 | |
| 15510 | // aten::fft_fft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15511 | inline at::Tensor & fft_fft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15512 | return at::_ops::fft_fft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15513 | } |
| 15514 | |
| 15515 | // aten::fft_fft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15516 | inline at::Tensor & fft_fft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15517 | return at::_ops::fft_fft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15518 | } |
| 15519 | |
| 15520 | // aten::fft_ifft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor |
| 15521 | inline at::Tensor fft_ifft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15522 | return at::_ops::fft_ifft2::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15523 | } |
| 15524 | |
| 15525 | // aten::fft_ifft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15526 | inline at::Tensor & fft_ifft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15527 | return at::_ops::fft_ifft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15528 | } |
| 15529 | |
| 15530 | // aten::fft_ifft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15531 | inline at::Tensor & fft_ifft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15532 | return at::_ops::fft_ifft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15533 | } |
| 15534 | |
| 15535 | // aten::fft_rfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor |
| 15536 | inline at::Tensor fft_rfft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15537 | return at::_ops::fft_rfft2::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15538 | } |
| 15539 | |
| 15540 | // aten::fft_rfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15541 | inline at::Tensor & fft_rfft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15542 | return at::_ops::fft_rfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15543 | } |
| 15544 | |
| 15545 | // aten::fft_rfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15546 | inline at::Tensor & fft_rfft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15547 | return at::_ops::fft_rfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15548 | } |
| 15549 | |
| 15550 | // aten::fft_irfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor |
| 15551 | inline at::Tensor fft_irfft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15552 | return at::_ops::fft_irfft2::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15553 | } |
| 15554 | |
| 15555 | // aten::fft_irfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15556 | inline at::Tensor & fft_irfft2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15557 | return at::_ops::fft_irfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15558 | } |
| 15559 | |
| 15560 | // aten::fft_irfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15561 | inline at::Tensor & fft_irfft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15562 | return at::_ops::fft_irfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15563 | } |
| 15564 | |
| 15565 | // aten::fft_hfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor |
| 15566 | inline at::Tensor fft_hfft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15567 | return at::_ops::fft_hfft2::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15568 | } |
| 15569 | |
| 15570 | // aten::fft_hfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15571 | inline const at::Tensor & fft_hfft2_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15572 | return at::_ops::fft_hfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15573 | } |
| 15574 | |
| 15575 | // aten::fft_hfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15576 | inline const at::Tensor & fft_hfft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 15577 | return at::_ops::fft_hfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15578 | } |
| 15579 | |
| 15580 | // aten::fft_ihfft2(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None) -> Tensor |
| 15581 | inline at::Tensor fft_ihfft2(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15582 | return at::_ops::fft_ihfft2::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15583 | } |
| 15584 | |
| 15585 | // aten::fft_ihfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15586 | inline const at::Tensor & fft_ihfft2_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::IntArrayRef dim={-2,-1}, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15587 | return at::_ops::fft_ihfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15588 | } |
| 15589 | |
| 15590 | // aten::fft_ihfft2.out(Tensor self, int[1]? s=None, int[1] dim=[-2,-1], str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15591 | inline const at::Tensor & fft_ihfft2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 15592 | return at::_ops::fft_ihfft2_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15593 | } |
| 15594 | |
| 15595 | // aten::fft_fftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor |
| 15596 | inline at::Tensor fft_fftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15597 | return at::_ops::fft_fftn::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15598 | } |
| 15599 | |
| 15600 | // aten::fft_fftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15601 | inline at::Tensor & fft_fftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15602 | return at::_ops::fft_fftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15603 | } |
| 15604 | |
| 15605 | // aten::fft_fftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15606 | inline at::Tensor & fft_fftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15607 | return at::_ops::fft_fftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15608 | } |
| 15609 | |
| 15610 | // aten::fft_ifftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor |
| 15611 | inline at::Tensor fft_ifftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15612 | return at::_ops::fft_ifftn::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15613 | } |
| 15614 | |
| 15615 | // aten::fft_ifftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15616 | inline at::Tensor & fft_ifftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15617 | return at::_ops::fft_ifftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15618 | } |
| 15619 | |
| 15620 | // aten::fft_ifftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15621 | inline at::Tensor & fft_ifftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15622 | return at::_ops::fft_ifftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15623 | } |
| 15624 | |
| 15625 | // aten::fft_rfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor |
| 15626 | inline at::Tensor fft_rfftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15627 | return at::_ops::fft_rfftn::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15628 | } |
| 15629 | |
| 15630 | // aten::fft_rfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15631 | inline at::Tensor & fft_rfftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15632 | return at::_ops::fft_rfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15633 | } |
| 15634 | |
| 15635 | // aten::fft_rfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15636 | inline at::Tensor & fft_rfftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15637 | return at::_ops::fft_rfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15638 | } |
| 15639 | |
| 15640 | // aten::fft_irfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor |
| 15641 | inline at::Tensor fft_irfftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15642 | return at::_ops::fft_irfftn::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15643 | } |
| 15644 | |
| 15645 | // aten::fft_irfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15646 | inline at::Tensor & fft_irfftn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15647 | return at::_ops::fft_irfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15648 | } |
| 15649 | |
| 15650 | // aten::fft_irfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15651 | inline at::Tensor & fft_irfftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 15652 | return at::_ops::fft_irfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15653 | } |
| 15654 | |
| 15655 | // aten::fft_hfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor |
| 15656 | inline at::Tensor fft_hfftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15657 | return at::_ops::fft_hfftn::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15658 | } |
| 15659 | |
| 15660 | // aten::fft_hfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15661 | inline const at::Tensor & fft_hfftn_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15662 | return at::_ops::fft_hfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15663 | } |
| 15664 | |
| 15665 | // aten::fft_hfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15666 | inline const at::Tensor & fft_hfftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 15667 | return at::_ops::fft_hfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15668 | } |
| 15669 | |
| 15670 | // aten::fft_ihfftn(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None) -> Tensor |
| 15671 | inline at::Tensor fft_ihfftn(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15672 | return at::_ops::fft_ihfftn::redispatch(dispatchKeySet, self, s, dim, norm); |
| 15673 | } |
| 15674 | |
| 15675 | // aten::fft_ihfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15676 | inline const at::Tensor & fft_ihfftn_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<c10::string_view> norm=c10::nullopt) { |
| 15677 | return at::_ops::fft_ihfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15678 | } |
| 15679 | |
| 15680 | // aten::fft_ihfftn.out(Tensor self, int[1]? s=None, int[1]? dim=None, str? norm=None, *, Tensor(a!) out) -> Tensor(a!) |
| 15681 | inline const at::Tensor & fft_ihfftn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 15682 | return at::_ops::fft_ihfftn_out::redispatch(dispatchKeySet, self, s, dim, norm, out); |
| 15683 | } |
| 15684 | |
| 15685 | // aten::fft_fftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 15686 | inline at::Tensor fft_fftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d=1.0, at::TensorOptions options={}) { |
| 15687 | return at::_ops::fft_fftfreq::redispatch(dispatchKeySet, n, d, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 15688 | } |
| 15689 | |
| 15690 | // aten::fft_fftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 15691 | inline at::Tensor fft_fftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 15692 | return at::_ops::fft_fftfreq::redispatch(dispatchKeySet, n, d, dtype, layout, device, pin_memory); |
| 15693 | } |
| 15694 | |
| 15695 | // aten::fft_fftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 15696 | inline at::Tensor & fft_fftfreq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, double d=1.0) { |
| 15697 | return at::_ops::fft_fftfreq_out::redispatch(dispatchKeySet, n, d, out); |
| 15698 | } |
| 15699 | |
| 15700 | // aten::fft_fftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 15701 | inline at::Tensor & fft_fftfreq_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, at::Tensor & out) { |
| 15702 | return at::_ops::fft_fftfreq_out::redispatch(dispatchKeySet, n, d, out); |
| 15703 | } |
| 15704 | |
| 15705 | // aten::fft_rfftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 15706 | inline at::Tensor fft_rfftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d=1.0, at::TensorOptions options={}) { |
| 15707 | return at::_ops::fft_rfftfreq::redispatch(dispatchKeySet, n, d, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 15708 | } |
| 15709 | |
| 15710 | // aten::fft_rfftfreq(int n, float d=1.0, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 15711 | inline at::Tensor fft_rfftfreq(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) { |
| 15712 | return at::_ops::fft_rfftfreq::redispatch(dispatchKeySet, n, d, dtype, layout, device, pin_memory); |
| 15713 | } |
| 15714 | |
| 15715 | // aten::fft_rfftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 15716 | inline at::Tensor & fft_rfftfreq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t n, double d=1.0) { |
| 15717 | return at::_ops::fft_rfftfreq_out::redispatch(dispatchKeySet, n, d, out); |
| 15718 | } |
| 15719 | |
| 15720 | // aten::fft_rfftfreq.out(int n, float d=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 15721 | inline at::Tensor & fft_rfftfreq_outf(c10::DispatchKeySet dispatchKeySet, int64_t n, double d, at::Tensor & out) { |
| 15722 | return at::_ops::fft_rfftfreq_out::redispatch(dispatchKeySet, n, d, out); |
| 15723 | } |
| 15724 | |
| 15725 | // aten::fft_fftshift(Tensor self, int[1]? dim=None) -> Tensor |
| 15726 | inline at::Tensor fft_fftshift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt) { |
| 15727 | return at::_ops::fft_fftshift::redispatch(dispatchKeySet, self, dim); |
| 15728 | } |
| 15729 | |
| 15730 | // aten::fft_ifftshift(Tensor self, int[1]? dim=None) -> Tensor |
| 15731 | inline at::Tensor fft_ifftshift(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt) { |
| 15732 | return at::_ops::fft_ifftshift::redispatch(dispatchKeySet, self, dim); |
| 15733 | } |
| 15734 | |
| 15735 | // aten::linalg_cholesky_ex(Tensor self, *, bool upper=False, bool check_errors=False) -> (Tensor L, Tensor info) |
| 15736 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_cholesky_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false, bool check_errors=false) { |
| 15737 | return at::_ops::linalg_cholesky_ex::redispatch(dispatchKeySet, self, upper, check_errors); |
| 15738 | } |
| 15739 | |
| 15740 | // aten::linalg_cholesky_ex.L(Tensor self, *, bool upper=False, bool check_errors=False, Tensor(a!) L, Tensor(b!) info) -> (Tensor(a!) L, Tensor(b!) info) |
| 15741 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_cholesky_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & L, at::Tensor & info, const at::Tensor & self, bool upper=false, bool check_errors=false) { |
| 15742 | return at::_ops::linalg_cholesky_ex_L::redispatch(dispatchKeySet, self, upper, check_errors, L, info); |
| 15743 | } |
| 15744 | |
| 15745 | // aten::linalg_cholesky_ex.L(Tensor self, *, bool upper=False, bool check_errors=False, Tensor(a!) L, Tensor(b!) info) -> (Tensor(a!) L, Tensor(b!) info) |
| 15746 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_cholesky_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, bool check_errors, at::Tensor & L, at::Tensor & info) { |
| 15747 | return at::_ops::linalg_cholesky_ex_L::redispatch(dispatchKeySet, self, upper, check_errors, L, info); |
| 15748 | } |
| 15749 | |
| 15750 | // aten::linalg_cholesky(Tensor self, *, bool upper=False) -> Tensor |
| 15751 | inline at::Tensor linalg_cholesky(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper=false) { |
| 15752 | return at::_ops::linalg_cholesky::redispatch(dispatchKeySet, self, upper); |
| 15753 | } |
| 15754 | |
| 15755 | // aten::linalg_cholesky.out(Tensor self, *, bool upper=False, Tensor(a!) out) -> Tensor(a!) |
| 15756 | inline at::Tensor & linalg_cholesky_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool upper=false) { |
| 15757 | return at::_ops::linalg_cholesky_out::redispatch(dispatchKeySet, self, upper, out); |
| 15758 | } |
| 15759 | |
| 15760 | // aten::linalg_cholesky.out(Tensor self, *, bool upper=False, Tensor(a!) out) -> Tensor(a!) |
| 15761 | inline at::Tensor & linalg_cholesky_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool upper, at::Tensor & out) { |
| 15762 | return at::_ops::linalg_cholesky_out::redispatch(dispatchKeySet, self, upper, out); |
| 15763 | } |
| 15764 | |
| 15765 | // aten::linalg_cross(Tensor self, Tensor other, *, int dim=-1) -> Tensor |
| 15766 | inline at::Tensor linalg_cross(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, int64_t dim=-1) { |
| 15767 | return at::_ops::linalg_cross::redispatch(dispatchKeySet, self, other, dim); |
| 15768 | } |
| 15769 | |
| 15770 | // aten::linalg_cross.out(Tensor self, Tensor other, *, int dim=-1, Tensor(a!) out) -> Tensor(a!) |
| 15771 | inline at::Tensor & linalg_cross_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, int64_t dim=-1) { |
| 15772 | return at::_ops::linalg_cross_out::redispatch(dispatchKeySet, self, other, dim, out); |
| 15773 | } |
| 15774 | |
| 15775 | // aten::linalg_cross.out(Tensor self, Tensor other, *, int dim=-1, Tensor(a!) out) -> Tensor(a!) |
| 15776 | inline at::Tensor & linalg_cross_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, int64_t dim, at::Tensor & out) { |
| 15777 | return at::_ops::linalg_cross_out::redispatch(dispatchKeySet, self, other, dim, out); |
| 15778 | } |
| 15779 | |
| 15780 | // aten::linalg_lu_factor(Tensor A, *, bool pivot=True) -> (Tensor LU, Tensor pivots) |
| 15781 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_lu_factor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot=true) { |
| 15782 | return at::_ops::linalg_lu_factor::redispatch(dispatchKeySet, A, pivot); |
| 15783 | } |
| 15784 | |
| 15785 | // aten::linalg_lu_factor.out(Tensor A, *, bool pivot=True, Tensor(a!) LU, Tensor(b!) pivots) -> (Tensor(a!) LU, Tensor(b!) pivots) |
| 15786 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_lu_factor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & LU, at::Tensor & pivots, const at::Tensor & A, bool pivot=true) { |
| 15787 | return at::_ops::linalg_lu_factor_out::redispatch(dispatchKeySet, A, pivot, LU, pivots); |
| 15788 | } |
| 15789 | |
| 15790 | // aten::linalg_lu_factor.out(Tensor A, *, bool pivot=True, Tensor(a!) LU, Tensor(b!) pivots) -> (Tensor(a!) LU, Tensor(b!) pivots) |
| 15791 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_lu_factor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot, at::Tensor & LU, at::Tensor & pivots) { |
| 15792 | return at::_ops::linalg_lu_factor_out::redispatch(dispatchKeySet, A, pivot, LU, pivots); |
| 15793 | } |
| 15794 | |
| 15795 | // aten::linalg_lu_factor_ex(Tensor A, *, bool pivot=True, bool check_errors=False) -> (Tensor LU, Tensor pivots, Tensor info) |
| 15796 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linalg_lu_factor_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot=true, bool check_errors=false) { |
| 15797 | return at::_ops::linalg_lu_factor_ex::redispatch(dispatchKeySet, A, pivot, check_errors); |
| 15798 | } |
| 15799 | |
| 15800 | // aten::linalg_lu_factor_ex.out(Tensor A, *, bool pivot=True, bool check_errors=False, Tensor(a!) LU, Tensor(b!) pivots, Tensor(c!) info) -> (Tensor(a!) LU, Tensor(b!) pivots, Tensor(c!) info) |
| 15801 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_lu_factor_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & LU, at::Tensor & pivots, at::Tensor & info, const at::Tensor & A, bool pivot=true, bool check_errors=false) { |
| 15802 | return at::_ops::linalg_lu_factor_ex_out::redispatch(dispatchKeySet, A, pivot, check_errors, LU, pivots, info); |
| 15803 | } |
| 15804 | |
| 15805 | // aten::linalg_lu_factor_ex.out(Tensor A, *, bool pivot=True, bool check_errors=False, Tensor(a!) LU, Tensor(b!) pivots, Tensor(c!) info) -> (Tensor(a!) LU, Tensor(b!) pivots, Tensor(c!) info) |
| 15806 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_lu_factor_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot, bool check_errors, at::Tensor & LU, at::Tensor & pivots, at::Tensor & info) { |
| 15807 | return at::_ops::linalg_lu_factor_ex_out::redispatch(dispatchKeySet, A, pivot, check_errors, LU, pivots, info); |
| 15808 | } |
| 15809 | |
| 15810 | // aten::linalg_lu(Tensor A, *, bool pivot=True) -> (Tensor P, Tensor L, Tensor U) |
| 15811 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linalg_lu(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot=true) { |
| 15812 | return at::_ops::linalg_lu::redispatch(dispatchKeySet, A, pivot); |
| 15813 | } |
| 15814 | |
| 15815 | // aten::linalg_lu.out(Tensor A, *, bool pivot=True, Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) -> (Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) |
| 15816 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_lu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & P, at::Tensor & L, at::Tensor & U, const at::Tensor & A, bool pivot=true) { |
| 15817 | return at::_ops::linalg_lu_out::redispatch(dispatchKeySet, A, pivot, P, L, U); |
| 15818 | } |
| 15819 | |
| 15820 | // aten::linalg_lu.out(Tensor A, *, bool pivot=True, Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) -> (Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) |
| 15821 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_lu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot, at::Tensor & P, at::Tensor & L, at::Tensor & U) { |
| 15822 | return at::_ops::linalg_lu_out::redispatch(dispatchKeySet, A, pivot, P, L, U); |
| 15823 | } |
| 15824 | |
| 15825 | // aten::linalg_lu_solve(Tensor LU, Tensor pivots, Tensor B, *, bool left=True, bool adjoint=False) -> Tensor |
| 15826 | inline at::Tensor linalg_lu_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LU, const at::Tensor & pivots, const at::Tensor & B, bool left=true, bool adjoint=false) { |
| 15827 | return at::_ops::linalg_lu_solve::redispatch(dispatchKeySet, LU, pivots, B, left, adjoint); |
| 15828 | } |
| 15829 | |
| 15830 | // aten::linalg_lu_solve.out(Tensor LU, Tensor pivots, Tensor B, *, bool left=True, bool adjoint=False, Tensor(a!) out) -> Tensor(a!) |
| 15831 | inline at::Tensor & linalg_lu_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & LU, const at::Tensor & pivots, const at::Tensor & B, bool left=true, bool adjoint=false) { |
| 15832 | return at::_ops::linalg_lu_solve_out::redispatch(dispatchKeySet, LU, pivots, B, left, adjoint, out); |
| 15833 | } |
| 15834 | |
| 15835 | // aten::linalg_lu_solve.out(Tensor LU, Tensor pivots, Tensor B, *, bool left=True, bool adjoint=False, Tensor(a!) out) -> Tensor(a!) |
| 15836 | inline at::Tensor & linalg_lu_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LU, const at::Tensor & pivots, const at::Tensor & B, bool left, bool adjoint, at::Tensor & out) { |
| 15837 | return at::_ops::linalg_lu_solve_out::redispatch(dispatchKeySet, LU, pivots, B, left, adjoint, out); |
| 15838 | } |
| 15839 | |
| 15840 | // aten::_linalg_det(Tensor A) -> (Tensor result, Tensor LU, Tensor pivots) |
| 15841 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _linalg_det(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A) { |
| 15842 | return at::_ops::_linalg_det::redispatch(dispatchKeySet, A); |
| 15843 | } |
| 15844 | |
| 15845 | // aten::_linalg_det.result(Tensor A, *, Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots) -> (Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots) |
| 15846 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _linalg_det_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & result, at::Tensor & LU, at::Tensor & pivots, const at::Tensor & A) { |
| 15847 | return at::_ops::_linalg_det_result::redispatch(dispatchKeySet, A, result, LU, pivots); |
| 15848 | } |
| 15849 | |
| 15850 | // aten::_linalg_det.result(Tensor A, *, Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots) -> (Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots) |
| 15851 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _linalg_det_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, at::Tensor & result, at::Tensor & LU, at::Tensor & pivots) { |
| 15852 | return at::_ops::_linalg_det_result::redispatch(dispatchKeySet, A, result, LU, pivots); |
| 15853 | } |
| 15854 | |
| 15855 | // aten::linalg_det(Tensor A) -> Tensor |
| 15856 | inline at::Tensor linalg_det(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A) { |
| 15857 | return at::_ops::linalg_det::redispatch(dispatchKeySet, A); |
| 15858 | } |
| 15859 | |
| 15860 | // aten::linalg_det.out(Tensor A, *, Tensor(a!) out) -> Tensor(a!) |
| 15861 | inline at::Tensor & linalg_det_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & A) { |
| 15862 | return at::_ops::linalg_det_out::redispatch(dispatchKeySet, A, out); |
| 15863 | } |
| 15864 | |
| 15865 | // aten::linalg_det.out(Tensor A, *, Tensor(a!) out) -> Tensor(a!) |
| 15866 | inline at::Tensor & linalg_det_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, at::Tensor & out) { |
| 15867 | return at::_ops::linalg_det_out::redispatch(dispatchKeySet, A, out); |
| 15868 | } |
| 15869 | |
| 15870 | // aten::det(Tensor self) -> Tensor |
| 15871 | inline at::Tensor det(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15872 | return at::_ops::det::redispatch(dispatchKeySet, self); |
| 15873 | } |
| 15874 | |
| 15875 | // aten::linalg_ldl_factor_ex(Tensor self, *, bool hermitian=False, bool check_errors=False) -> (Tensor LD, Tensor pivots, Tensor info) |
| 15876 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linalg_ldl_factor_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool hermitian=false, bool check_errors=false) { |
| 15877 | return at::_ops::linalg_ldl_factor_ex::redispatch(dispatchKeySet, self, hermitian, check_errors); |
| 15878 | } |
| 15879 | |
| 15880 | // aten::linalg_ldl_factor_ex.out(Tensor self, *, bool hermitian=False, bool check_errors=False, Tensor(a!) LD, Tensor(b!) pivots, Tensor(c!) info) -> (Tensor(a!) LD, Tensor(b!) pivots, Tensor(c!) info) |
| 15881 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_ldl_factor_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & LD, at::Tensor & pivots, at::Tensor & info, const at::Tensor & self, bool hermitian=false, bool check_errors=false) { |
| 15882 | return at::_ops::linalg_ldl_factor_ex_out::redispatch(dispatchKeySet, self, hermitian, check_errors, LD, pivots, info); |
| 15883 | } |
| 15884 | |
| 15885 | // aten::linalg_ldl_factor_ex.out(Tensor self, *, bool hermitian=False, bool check_errors=False, Tensor(a!) LD, Tensor(b!) pivots, Tensor(c!) info) -> (Tensor(a!) LD, Tensor(b!) pivots, Tensor(c!) info) |
| 15886 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_ldl_factor_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool hermitian, bool check_errors, at::Tensor & LD, at::Tensor & pivots, at::Tensor & info) { |
| 15887 | return at::_ops::linalg_ldl_factor_ex_out::redispatch(dispatchKeySet, self, hermitian, check_errors, LD, pivots, info); |
| 15888 | } |
| 15889 | |
| 15890 | // aten::linalg_ldl_factor(Tensor self, *, bool hermitian=False) -> (Tensor LD, Tensor pivots) |
| 15891 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_ldl_factor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool hermitian=false) { |
| 15892 | return at::_ops::linalg_ldl_factor::redispatch(dispatchKeySet, self, hermitian); |
| 15893 | } |
| 15894 | |
| 15895 | // aten::linalg_ldl_factor.out(Tensor self, *, bool hermitian=False, Tensor(a!) LD, Tensor(b!) pivots) -> (Tensor(a!) LD, Tensor(b!) pivots) |
| 15896 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_ldl_factor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & LD, at::Tensor & pivots, const at::Tensor & self, bool hermitian=false) { |
| 15897 | return at::_ops::linalg_ldl_factor_out::redispatch(dispatchKeySet, self, hermitian, LD, pivots); |
| 15898 | } |
| 15899 | |
| 15900 | // aten::linalg_ldl_factor.out(Tensor self, *, bool hermitian=False, Tensor(a!) LD, Tensor(b!) pivots) -> (Tensor(a!) LD, Tensor(b!) pivots) |
| 15901 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_ldl_factor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool hermitian, at::Tensor & LD, at::Tensor & pivots) { |
| 15902 | return at::_ops::linalg_ldl_factor_out::redispatch(dispatchKeySet, self, hermitian, LD, pivots); |
| 15903 | } |
| 15904 | |
| 15905 | // aten::linalg_ldl_solve(Tensor LD, Tensor pivots, Tensor B, *, bool hermitian=False) -> Tensor |
| 15906 | inline at::Tensor linalg_ldl_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LD, const at::Tensor & pivots, const at::Tensor & B, bool hermitian=false) { |
| 15907 | return at::_ops::linalg_ldl_solve::redispatch(dispatchKeySet, LD, pivots, B, hermitian); |
| 15908 | } |
| 15909 | |
| 15910 | // aten::linalg_ldl_solve.out(Tensor LD, Tensor pivots, Tensor B, *, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 15911 | inline at::Tensor & linalg_ldl_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & LD, const at::Tensor & pivots, const at::Tensor & B, bool hermitian=false) { |
| 15912 | return at::_ops::linalg_ldl_solve_out::redispatch(dispatchKeySet, LD, pivots, B, hermitian, out); |
| 15913 | } |
| 15914 | |
| 15915 | // aten::linalg_ldl_solve.out(Tensor LD, Tensor pivots, Tensor B, *, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 15916 | inline at::Tensor & linalg_ldl_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & LD, const at::Tensor & pivots, const at::Tensor & B, bool hermitian, at::Tensor & out) { |
| 15917 | return at::_ops::linalg_ldl_solve_out::redispatch(dispatchKeySet, LD, pivots, B, hermitian, out); |
| 15918 | } |
| 15919 | |
| 15920 | // aten::linalg_lstsq(Tensor self, Tensor b, float? rcond=None, *, str? driver=None) -> (Tensor solution, Tensor residuals, Tensor rank, Tensor singular_values) |
| 15921 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> linalg_lstsq(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & b, c10::optional<double> rcond=c10::nullopt, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 15922 | return at::_ops::linalg_lstsq::redispatch(dispatchKeySet, self, b, rcond, driver); |
| 15923 | } |
| 15924 | |
| 15925 | // aten::linalg_lstsq.out(Tensor self, Tensor b, float? rcond=None, *, str? driver=None, Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values) -> (Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values) |
| 15926 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> linalg_lstsq_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & solution, at::Tensor & residuals, at::Tensor & rank, at::Tensor & singular_values, const at::Tensor & self, const at::Tensor & b, c10::optional<double> rcond=c10::nullopt, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 15927 | return at::_ops::linalg_lstsq_out::redispatch(dispatchKeySet, self, b, rcond, driver, solution, residuals, rank, singular_values); |
| 15928 | } |
| 15929 | |
| 15930 | // aten::linalg_lstsq.out(Tensor self, Tensor b, float? rcond=None, *, str? driver=None, Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values) -> (Tensor(a!) solution, Tensor(b!) residuals, Tensor(c!) rank, Tensor(d!) singular_values) |
| 15931 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> linalg_lstsq_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & b, c10::optional<double> rcond, c10::optional<c10::string_view> driver, at::Tensor & solution, at::Tensor & residuals, at::Tensor & rank, at::Tensor & singular_values) { |
| 15932 | return at::_ops::linalg_lstsq_out::redispatch(dispatchKeySet, self, b, rcond, driver, solution, residuals, rank, singular_values); |
| 15933 | } |
| 15934 | |
| 15935 | // aten::linalg_matmul(Tensor self, Tensor other) -> Tensor |
| 15936 | inline at::Tensor linalg_matmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 15937 | return at::_ops::linalg_matmul::redispatch(dispatchKeySet, self, other); |
| 15938 | } |
| 15939 | |
| 15940 | // aten::linalg_matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15941 | inline at::Tensor & linalg_matmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 15942 | return at::_ops::linalg_matmul_out::redispatch(dispatchKeySet, self, other, out); |
| 15943 | } |
| 15944 | |
| 15945 | // aten::linalg_matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 15946 | inline at::Tensor & linalg_matmul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 15947 | return at::_ops::linalg_matmul_out::redispatch(dispatchKeySet, self, other, out); |
| 15948 | } |
| 15949 | |
| 15950 | // aten::linalg_vecdot(Tensor x, Tensor y, *, int dim=-1) -> Tensor |
| 15951 | inline at::Tensor linalg_vecdot(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & y, int64_t dim=-1) { |
| 15952 | return at::_ops::linalg_vecdot::redispatch(dispatchKeySet, x, y, dim); |
| 15953 | } |
| 15954 | |
| 15955 | // aten::linalg_vecdot.out(Tensor x, Tensor y, *, int dim=-1, Tensor(a!) out) -> Tensor(a!) |
| 15956 | inline at::Tensor & linalg_vecdot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & y, int64_t dim=-1) { |
| 15957 | return at::_ops::linalg_vecdot_out::redispatch(dispatchKeySet, x, y, dim, out); |
| 15958 | } |
| 15959 | |
| 15960 | // aten::linalg_vecdot.out(Tensor x, Tensor y, *, int dim=-1, Tensor(a!) out) -> Tensor(a!) |
| 15961 | inline at::Tensor & linalg_vecdot_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & y, int64_t dim, at::Tensor & out) { |
| 15962 | return at::_ops::linalg_vecdot_out::redispatch(dispatchKeySet, x, y, dim, out); |
| 15963 | } |
| 15964 | |
| 15965 | // aten::linalg_matrix_exp(Tensor self) -> Tensor |
| 15966 | inline at::Tensor linalg_matrix_exp(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 15967 | return at::_ops::linalg_matrix_exp::redispatch(dispatchKeySet, self); |
| 15968 | } |
| 15969 | |
| 15970 | // aten::_linalg_slogdet(Tensor A) -> (Tensor sign, Tensor logabsdet, Tensor LU, Tensor pivots) |
| 15971 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _linalg_slogdet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A) { |
| 15972 | return at::_ops::_linalg_slogdet::redispatch(dispatchKeySet, A); |
| 15973 | } |
| 15974 | |
| 15975 | // aten::_linalg_slogdet.sign(Tensor A, *, Tensor(a!) sign, Tensor(b!) logabsdet, Tensor(c!) LU, Tensor(d!) pivots) -> (Tensor(a!) sign, Tensor(b!) logabsdet, Tensor(c!) LU, Tensor(d!) pivots) |
| 15976 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _linalg_slogdet_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & sign, at::Tensor & logabsdet, at::Tensor & LU, at::Tensor & pivots, const at::Tensor & A) { |
| 15977 | return at::_ops::_linalg_slogdet_sign::redispatch(dispatchKeySet, A, sign, logabsdet, LU, pivots); |
| 15978 | } |
| 15979 | |
| 15980 | // aten::_linalg_slogdet.sign(Tensor A, *, Tensor(a!) sign, Tensor(b!) logabsdet, Tensor(c!) LU, Tensor(d!) pivots) -> (Tensor(a!) sign, Tensor(b!) logabsdet, Tensor(c!) LU, Tensor(d!) pivots) |
| 15981 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _linalg_slogdet_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, at::Tensor & sign, at::Tensor & logabsdet, at::Tensor & LU, at::Tensor & pivots) { |
| 15982 | return at::_ops::_linalg_slogdet_sign::redispatch(dispatchKeySet, A, sign, logabsdet, LU, pivots); |
| 15983 | } |
| 15984 | |
| 15985 | // aten::linalg_slogdet(Tensor A) -> (Tensor sign, Tensor logabsdet) |
| 15986 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_slogdet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A) { |
| 15987 | return at::_ops::linalg_slogdet::redispatch(dispatchKeySet, A); |
| 15988 | } |
| 15989 | |
| 15990 | // aten::linalg_slogdet.out(Tensor A, *, Tensor(a!) sign, Tensor(b!) logabsdet) -> (Tensor(a!) sign, Tensor(b!) logabsdet) |
| 15991 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_slogdet_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & sign, at::Tensor & logabsdet, const at::Tensor & A) { |
| 15992 | return at::_ops::linalg_slogdet_out::redispatch(dispatchKeySet, A, sign, logabsdet); |
| 15993 | } |
| 15994 | |
| 15995 | // aten::linalg_slogdet.out(Tensor A, *, Tensor(a!) sign, Tensor(b!) logabsdet) -> (Tensor(a!) sign, Tensor(b!) logabsdet) |
| 15996 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_slogdet_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, at::Tensor & sign, at::Tensor & logabsdet) { |
| 15997 | return at::_ops::linalg_slogdet_out::redispatch(dispatchKeySet, A, sign, logabsdet); |
| 15998 | } |
| 15999 | |
| 16000 | // aten::slogdet(Tensor self) -> (Tensor sign, Tensor logabsdet) |
| 16001 | inline ::std::tuple<at::Tensor,at::Tensor> slogdet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16002 | return at::_ops::slogdet::redispatch(dispatchKeySet, self); |
| 16003 | } |
| 16004 | |
| 16005 | // aten::slogdet.out(Tensor self, *, Tensor(a!) sign, Tensor(b!) logabsdet) -> (Tensor(a!) sign, Tensor(b!) logabsdet) |
| 16006 | inline ::std::tuple<at::Tensor &,at::Tensor &> slogdet_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & sign, at::Tensor & logabsdet, const at::Tensor & self) { |
| 16007 | return at::_ops::slogdet_out::redispatch(dispatchKeySet, self, sign, logabsdet); |
| 16008 | } |
| 16009 | |
| 16010 | // aten::slogdet.out(Tensor self, *, Tensor(a!) sign, Tensor(b!) logabsdet) -> (Tensor(a!) sign, Tensor(b!) logabsdet) |
| 16011 | inline ::std::tuple<at::Tensor &,at::Tensor &> slogdet_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & sign, at::Tensor & logabsdet) { |
| 16012 | return at::_ops::slogdet_out::redispatch(dispatchKeySet, self, sign, logabsdet); |
| 16013 | } |
| 16014 | |
| 16015 | // aten::logdet(Tensor self) -> Tensor |
| 16016 | inline at::Tensor logdet(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16017 | return at::_ops::logdet::redispatch(dispatchKeySet, self); |
| 16018 | } |
| 16019 | |
| 16020 | // aten::linalg_eig(Tensor self) -> (Tensor eigenvalues, Tensor eigenvectors) |
| 16021 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_eig(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16022 | return at::_ops::linalg_eig::redispatch(dispatchKeySet, self); |
| 16023 | } |
| 16024 | |
| 16025 | // aten::linalg_eig.out(Tensor self, *, Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) |
| 16026 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eig_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & eigenvalues, at::Tensor & eigenvectors, const at::Tensor & self) { |
| 16027 | return at::_ops::linalg_eig_out::redispatch(dispatchKeySet, self, eigenvalues, eigenvectors); |
| 16028 | } |
| 16029 | |
| 16030 | // aten::linalg_eig.out(Tensor self, *, Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) |
| 16031 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eig_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & eigenvalues, at::Tensor & eigenvectors) { |
| 16032 | return at::_ops::linalg_eig_out::redispatch(dispatchKeySet, self, eigenvalues, eigenvectors); |
| 16033 | } |
| 16034 | |
| 16035 | // aten::linalg_eigvals(Tensor self) -> Tensor |
| 16036 | inline at::Tensor linalg_eigvals(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16037 | return at::_ops::linalg_eigvals::redispatch(dispatchKeySet, self); |
| 16038 | } |
| 16039 | |
| 16040 | // aten::linalg_eigvals.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 16041 | inline at::Tensor & linalg_eigvals_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 16042 | return at::_ops::linalg_eigvals_out::redispatch(dispatchKeySet, self, out); |
| 16043 | } |
| 16044 | |
| 16045 | // aten::linalg_eigvals.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 16046 | inline at::Tensor & linalg_eigvals_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 16047 | return at::_ops::linalg_eigvals_out::redispatch(dispatchKeySet, self, out); |
| 16048 | } |
| 16049 | |
| 16050 | // aten::_linalg_eigh(Tensor A, str UPLO="L", bool compute_v=True) -> (Tensor eigenvalues, Tensor eigenvectors) |
| 16051 | inline ::std::tuple<at::Tensor,at::Tensor> _linalg_eigh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, c10::string_view UPLO="L", bool compute_v=true) { |
| 16052 | return at::_ops::_linalg_eigh::redispatch(dispatchKeySet, A, UPLO, compute_v); |
| 16053 | } |
| 16054 | |
| 16055 | // aten::_linalg_eigh.eigenvalues(Tensor A, str UPLO="L", bool compute_v=True, *, Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) |
| 16056 | inline ::std::tuple<at::Tensor &,at::Tensor &> _linalg_eigh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & eigenvalues, at::Tensor & eigenvectors, const at::Tensor & A, c10::string_view UPLO="L", bool compute_v=true) { |
| 16057 | return at::_ops::_linalg_eigh_eigenvalues::redispatch(dispatchKeySet, A, UPLO, compute_v, eigenvalues, eigenvectors); |
| 16058 | } |
| 16059 | |
| 16060 | // aten::_linalg_eigh.eigenvalues(Tensor A, str UPLO="L", bool compute_v=True, *, Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) |
| 16061 | inline ::std::tuple<at::Tensor &,at::Tensor &> _linalg_eigh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, c10::string_view UPLO, bool compute_v, at::Tensor & eigenvalues, at::Tensor & eigenvectors) { |
| 16062 | return at::_ops::_linalg_eigh_eigenvalues::redispatch(dispatchKeySet, A, UPLO, compute_v, eigenvalues, eigenvectors); |
| 16063 | } |
| 16064 | |
| 16065 | // aten::linalg_eigh(Tensor self, str UPLO="L") -> (Tensor eigenvalues, Tensor eigenvectors) |
| 16066 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_eigh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO="L") { |
| 16067 | return at::_ops::linalg_eigh::redispatch(dispatchKeySet, self, UPLO); |
| 16068 | } |
| 16069 | |
| 16070 | // aten::linalg_eigh.eigvals(Tensor self, str UPLO="L", *, Tensor(a!) eigvals, Tensor(b!) eigvecs) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) |
| 16071 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eigh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & eigvals, at::Tensor & eigvecs, const at::Tensor & self, c10::string_view UPLO="L") { |
| 16072 | return at::_ops::linalg_eigh_eigvals::redispatch(dispatchKeySet, self, UPLO, eigvals, eigvecs); |
| 16073 | } |
| 16074 | |
| 16075 | // aten::linalg_eigh.eigvals(Tensor self, str UPLO="L", *, Tensor(a!) eigvals, Tensor(b!) eigvecs) -> (Tensor(a!) eigenvalues, Tensor(b!) eigenvectors) |
| 16076 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_eigh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO, at::Tensor & eigvals, at::Tensor & eigvecs) { |
| 16077 | return at::_ops::linalg_eigh_eigvals::redispatch(dispatchKeySet, self, UPLO, eigvals, eigvecs); |
| 16078 | } |
| 16079 | |
| 16080 | // aten::linalg_eigvalsh(Tensor self, str UPLO="L") -> Tensor |
| 16081 | inline at::Tensor linalg_eigvalsh(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO="L") { |
| 16082 | return at::_ops::linalg_eigvalsh::redispatch(dispatchKeySet, self, UPLO); |
| 16083 | } |
| 16084 | |
| 16085 | // aten::linalg_eigvalsh.out(Tensor self, str UPLO="L", *, Tensor(a!) out) -> Tensor(a!) |
| 16086 | inline at::Tensor & linalg_eigvalsh_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view UPLO="L") { |
| 16087 | return at::_ops::linalg_eigvalsh_out::redispatch(dispatchKeySet, self, UPLO, out); |
| 16088 | } |
| 16089 | |
| 16090 | // aten::linalg_eigvalsh.out(Tensor self, str UPLO="L", *, Tensor(a!) out) -> Tensor(a!) |
| 16091 | inline at::Tensor & linalg_eigvalsh_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view UPLO, at::Tensor & out) { |
| 16092 | return at::_ops::linalg_eigvalsh_out::redispatch(dispatchKeySet, self, UPLO, out); |
| 16093 | } |
| 16094 | |
| 16095 | // aten::linalg_householder_product(Tensor input, Tensor tau) -> Tensor |
| 16096 | inline at::Tensor linalg_householder_product(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tau) { |
| 16097 | return at::_ops::linalg_householder_product::redispatch(dispatchKeySet, input, tau); |
| 16098 | } |
| 16099 | |
| 16100 | // aten::linalg_householder_product.out(Tensor input, Tensor tau, *, Tensor(a!) out) -> Tensor(a!) |
| 16101 | inline at::Tensor & linalg_householder_product_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & tau) { |
| 16102 | return at::_ops::linalg_householder_product_out::redispatch(dispatchKeySet, input, tau, out); |
| 16103 | } |
| 16104 | |
| 16105 | // aten::linalg_householder_product.out(Tensor input, Tensor tau, *, Tensor(a!) out) -> Tensor(a!) |
| 16106 | inline at::Tensor & linalg_householder_product_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tau, at::Tensor & out) { |
| 16107 | return at::_ops::linalg_householder_product_out::redispatch(dispatchKeySet, input, tau, out); |
| 16108 | } |
| 16109 | |
| 16110 | // aten::linalg_inv_ex(Tensor A, *, bool check_errors=False) -> (Tensor inverse, Tensor info) |
| 16111 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_inv_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool check_errors=false) { |
| 16112 | return at::_ops::linalg_inv_ex::redispatch(dispatchKeySet, A, check_errors); |
| 16113 | } |
| 16114 | |
| 16115 | // aten::linalg_inv_ex.inverse(Tensor A, *, bool check_errors=False, Tensor(a!) inverse, Tensor(b!) info) -> (Tensor(a!) inverse, Tensor(b!) info) |
| 16116 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_inv_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & inverse, at::Tensor & info, const at::Tensor & A, bool check_errors=false) { |
| 16117 | return at::_ops::linalg_inv_ex_inverse::redispatch(dispatchKeySet, A, check_errors, inverse, info); |
| 16118 | } |
| 16119 | |
| 16120 | // aten::linalg_inv_ex.inverse(Tensor A, *, bool check_errors=False, Tensor(a!) inverse, Tensor(b!) info) -> (Tensor(a!) inverse, Tensor(b!) info) |
| 16121 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_inv_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool check_errors, at::Tensor & inverse, at::Tensor & info) { |
| 16122 | return at::_ops::linalg_inv_ex_inverse::redispatch(dispatchKeySet, A, check_errors, inverse, info); |
| 16123 | } |
| 16124 | |
| 16125 | // aten::linalg_inv(Tensor A) -> Tensor |
| 16126 | inline at::Tensor linalg_inv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A) { |
| 16127 | return at::_ops::linalg_inv::redispatch(dispatchKeySet, A); |
| 16128 | } |
| 16129 | |
| 16130 | // aten::linalg_inv.out(Tensor A, *, Tensor(a!) out) -> Tensor(a!) |
| 16131 | inline at::Tensor & linalg_inv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & A) { |
| 16132 | return at::_ops::linalg_inv_out::redispatch(dispatchKeySet, A, out); |
| 16133 | } |
| 16134 | |
| 16135 | // aten::linalg_inv.out(Tensor A, *, Tensor(a!) out) -> Tensor(a!) |
| 16136 | inline at::Tensor & linalg_inv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, at::Tensor & out) { |
| 16137 | return at::_ops::linalg_inv_out::redispatch(dispatchKeySet, A, out); |
| 16138 | } |
| 16139 | |
| 16140 | // aten::inverse(Tensor self) -> Tensor |
| 16141 | inline at::Tensor inverse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16142 | return at::_ops::inverse::redispatch(dispatchKeySet, self); |
| 16143 | } |
| 16144 | |
| 16145 | // aten::inverse.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 16146 | inline at::Tensor & inverse_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 16147 | return at::_ops::inverse_out::redispatch(dispatchKeySet, self, out); |
| 16148 | } |
| 16149 | |
| 16150 | // aten::inverse.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 16151 | inline at::Tensor & inverse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 16152 | return at::_ops::inverse_out::redispatch(dispatchKeySet, self, out); |
| 16153 | } |
| 16154 | |
| 16155 | // aten::inner(Tensor self, Tensor other) -> Tensor |
| 16156 | inline at::Tensor inner(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other) { |
| 16157 | return at::_ops::inner::redispatch(dispatchKeySet, self, other); |
| 16158 | } |
| 16159 | |
| 16160 | // aten::inner.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 16161 | inline at::Tensor & inner_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 16162 | return at::_ops::inner_out::redispatch(dispatchKeySet, self, other, out); |
| 16163 | } |
| 16164 | |
| 16165 | // aten::inner.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 16166 | inline at::Tensor & inner_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 16167 | return at::_ops::inner_out::redispatch(dispatchKeySet, self, other, out); |
| 16168 | } |
| 16169 | |
| 16170 | // aten::outer(Tensor self, Tensor vec2) -> Tensor |
| 16171 | inline at::Tensor outer(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2) { |
| 16172 | return at::_ops::outer::redispatch(dispatchKeySet, self, vec2); |
| 16173 | } |
| 16174 | |
| 16175 | // aten::outer.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!) |
| 16176 | inline at::Tensor & outer_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec2) { |
| 16177 | return at::_ops::outer_out::redispatch(dispatchKeySet, self, vec2, out); |
| 16178 | } |
| 16179 | |
| 16180 | // aten::outer.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!) |
| 16181 | inline at::Tensor & outer_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) { |
| 16182 | return at::_ops::outer_out::redispatch(dispatchKeySet, self, vec2, out); |
| 16183 | } |
| 16184 | |
| 16185 | // aten::ger(Tensor self, Tensor vec2) -> Tensor |
| 16186 | inline at::Tensor ger(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2) { |
| 16187 | return at::_ops::ger::redispatch(dispatchKeySet, self, vec2); |
| 16188 | } |
| 16189 | |
| 16190 | // aten::ger.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!) |
| 16191 | inline at::Tensor & ger_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & vec2) { |
| 16192 | return at::_ops::ger_out::redispatch(dispatchKeySet, self, vec2, out); |
| 16193 | } |
| 16194 | |
| 16195 | // aten::ger.out(Tensor self, Tensor vec2, *, Tensor(a!) out) -> Tensor(a!) |
| 16196 | inline at::Tensor & ger_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) { |
| 16197 | return at::_ops::ger_out::redispatch(dispatchKeySet, self, vec2, out); |
| 16198 | } |
| 16199 | |
| 16200 | // aten::linalg_norm(Tensor self, Scalar? ord=None, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 16201 | inline at::Tensor linalg_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & ord=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16202 | return at::_ops::linalg_norm::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype); |
| 16203 | } |
| 16204 | |
| 16205 | // aten::linalg_norm.ord_str(Tensor self, str ord, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 16206 | inline at::Tensor linalg_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16207 | return at::_ops::linalg_norm_ord_str::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype); |
| 16208 | } |
| 16209 | |
| 16210 | // aten::linalg_norm.out(Tensor self, Scalar? ord=None, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16211 | inline at::Tensor & linalg_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & ord=c10::nullopt, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16212 | return at::_ops::linalg_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16213 | } |
| 16214 | |
| 16215 | // aten::linalg_norm.out(Tensor self, Scalar? ord=None, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16216 | inline at::Tensor & linalg_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 16217 | return at::_ops::linalg_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16218 | } |
| 16219 | |
| 16220 | // aten::linalg_norm.ord_str_out(Tensor self, str ord, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16221 | inline at::Tensor & linalg_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16222 | return at::_ops::linalg_norm_ord_str_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16223 | } |
| 16224 | |
| 16225 | // aten::linalg_norm.ord_str_out(Tensor self, str ord, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16226 | inline at::Tensor & linalg_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 16227 | return at::_ops::linalg_norm_ord_str_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16228 | } |
| 16229 | |
| 16230 | // aten::linalg_vector_norm(Tensor self, Scalar ord=2, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 16231 | inline at::Tensor linalg_vector_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord=2, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16232 | return at::_ops::linalg_vector_norm::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype); |
| 16233 | } |
| 16234 | |
| 16235 | // aten::linalg_vector_norm.out(Tensor self, Scalar ord=2, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16236 | inline at::Tensor & linalg_vector_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & ord=2, at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16237 | return at::_ops::linalg_vector_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16238 | } |
| 16239 | |
| 16240 | // aten::linalg_vector_norm.out(Tensor self, Scalar ord=2, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16241 | inline at::Tensor & linalg_vector_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 16242 | return at::_ops::linalg_vector_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16243 | } |
| 16244 | |
| 16245 | // aten::linalg_matrix_norm(Tensor self, Scalar ord, int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 16246 | inline at::Tensor linalg_matrix_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16247 | return at::_ops::linalg_matrix_norm::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype); |
| 16248 | } |
| 16249 | |
| 16250 | // aten::linalg_matrix_norm.out(Tensor self, Scalar ord, int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16251 | inline at::Tensor & linalg_matrix_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16252 | return at::_ops::linalg_matrix_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16253 | } |
| 16254 | |
| 16255 | // aten::linalg_matrix_norm.out(Tensor self, Scalar ord, int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16256 | inline at::Tensor & linalg_matrix_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 16257 | return at::_ops::linalg_matrix_norm_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16258 | } |
| 16259 | |
| 16260 | // aten::linalg_matrix_norm.str_ord(Tensor self, str ord='fro', int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 16261 | inline at::Tensor linalg_matrix_norm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord="fro", at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16262 | return at::_ops::linalg_matrix_norm_str_ord::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype); |
| 16263 | } |
| 16264 | |
| 16265 | // aten::linalg_matrix_norm.str_ord_out(Tensor self, str ord='fro', int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16266 | inline at::Tensor & linalg_matrix_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view ord="fro", at::IntArrayRef dim={-2,-1}, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 16267 | return at::_ops::linalg_matrix_norm_str_ord_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16268 | } |
| 16269 | |
| 16270 | // aten::linalg_matrix_norm.str_ord_out(Tensor self, str ord='fro', int[] dim=[-2,-1], bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 16271 | inline at::Tensor & linalg_matrix_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 16272 | return at::_ops::linalg_matrix_norm_str_ord_out::redispatch(dispatchKeySet, self, ord, dim, keepdim, dtype, out); |
| 16273 | } |
| 16274 | |
| 16275 | // aten::_linalg_svd(Tensor A, bool full_matrices=False, bool compute_uv=True, *, str? driver=None) -> (Tensor U, Tensor S, Tensor Vh) |
| 16276 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _linalg_svd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool full_matrices=false, bool compute_uv=true, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 16277 | return at::_ops::_linalg_svd::redispatch(dispatchKeySet, A, full_matrices, compute_uv, driver); |
| 16278 | } |
| 16279 | |
| 16280 | // aten::_linalg_svd.U(Tensor A, bool full_matrices=False, bool compute_uv=True, *, str? driver=None, Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) |
| 16281 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _linalg_svd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & U, at::Tensor & S, at::Tensor & Vh, const at::Tensor & A, bool full_matrices=false, bool compute_uv=true, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 16282 | return at::_ops::_linalg_svd_U::redispatch(dispatchKeySet, A, full_matrices, compute_uv, driver, U, S, Vh); |
| 16283 | } |
| 16284 | |
| 16285 | // aten::_linalg_svd.U(Tensor A, bool full_matrices=False, bool compute_uv=True, *, str? driver=None, Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) |
| 16286 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _linalg_svd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool full_matrices, bool compute_uv, c10::optional<c10::string_view> driver, at::Tensor & U, at::Tensor & S, at::Tensor & Vh) { |
| 16287 | return at::_ops::_linalg_svd_U::redispatch(dispatchKeySet, A, full_matrices, compute_uv, driver, U, S, Vh); |
| 16288 | } |
| 16289 | |
| 16290 | // aten::linalg_svd(Tensor A, bool full_matrices=True, *, str? driver=None) -> (Tensor U, Tensor S, Tensor Vh) |
| 16291 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linalg_svd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool full_matrices=true, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 16292 | return at::_ops::linalg_svd::redispatch(dispatchKeySet, A, full_matrices, driver); |
| 16293 | } |
| 16294 | |
| 16295 | // aten::linalg_svd.U(Tensor A, bool full_matrices=True, *, str? driver=None, Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) |
| 16296 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_svd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & U, at::Tensor & S, at::Tensor & Vh, const at::Tensor & A, bool full_matrices=true, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 16297 | return at::_ops::linalg_svd_U::redispatch(dispatchKeySet, A, full_matrices, driver, U, S, Vh); |
| 16298 | } |
| 16299 | |
| 16300 | // aten::linalg_svd.U(Tensor A, bool full_matrices=True, *, str? driver=None, Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) -> (Tensor(a!) U, Tensor(b!) S, Tensor(c!) Vh) |
| 16301 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_svd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool full_matrices, c10::optional<c10::string_view> driver, at::Tensor & U, at::Tensor & S, at::Tensor & Vh) { |
| 16302 | return at::_ops::linalg_svd_U::redispatch(dispatchKeySet, A, full_matrices, driver, U, S, Vh); |
| 16303 | } |
| 16304 | |
| 16305 | // aten::linalg_svdvals(Tensor A, *, str? driver=None) -> Tensor |
| 16306 | inline at::Tensor linalg_svdvals(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 16307 | return at::_ops::linalg_svdvals::redispatch(dispatchKeySet, A, driver); |
| 16308 | } |
| 16309 | |
| 16310 | // aten::linalg_svdvals.out(Tensor A, *, str? driver=None, Tensor(a!) out) -> Tensor(a!) |
| 16311 | inline at::Tensor & linalg_svdvals_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & A, c10::optional<c10::string_view> driver=c10::nullopt) { |
| 16312 | return at::_ops::linalg_svdvals_out::redispatch(dispatchKeySet, A, driver, out); |
| 16313 | } |
| 16314 | |
| 16315 | // aten::linalg_svdvals.out(Tensor A, *, str? driver=None, Tensor(a!) out) -> Tensor(a!) |
| 16316 | inline at::Tensor & linalg_svdvals_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, c10::optional<c10::string_view> driver, at::Tensor & out) { |
| 16317 | return at::_ops::linalg_svdvals_out::redispatch(dispatchKeySet, A, driver, out); |
| 16318 | } |
| 16319 | |
| 16320 | // aten::linalg_cond(Tensor self, Scalar? p=None) -> Tensor |
| 16321 | inline at::Tensor linalg_cond(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p=c10::nullopt) { |
| 16322 | return at::_ops::linalg_cond::redispatch(dispatchKeySet, self, p); |
| 16323 | } |
| 16324 | |
| 16325 | // aten::linalg_cond.out(Tensor self, Scalar? p=None, *, Tensor(a!) out) -> Tensor(a!) |
| 16326 | inline at::Tensor & linalg_cond_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p=c10::nullopt) { |
| 16327 | return at::_ops::linalg_cond_out::redispatch(dispatchKeySet, self, p, out); |
| 16328 | } |
| 16329 | |
| 16330 | // aten::linalg_cond.out(Tensor self, Scalar? p=None, *, Tensor(a!) out) -> Tensor(a!) |
| 16331 | inline at::Tensor & linalg_cond_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::Tensor & out) { |
| 16332 | return at::_ops::linalg_cond_out::redispatch(dispatchKeySet, self, p, out); |
| 16333 | } |
| 16334 | |
| 16335 | // aten::linalg_cond.p_str(Tensor self, str p) -> Tensor |
| 16336 | inline at::Tensor linalg_cond(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view p) { |
| 16337 | return at::_ops::linalg_cond_p_str::redispatch(dispatchKeySet, self, p); |
| 16338 | } |
| 16339 | |
| 16340 | // aten::linalg_cond.p_str_out(Tensor self, str p, *, Tensor(a!) out) -> Tensor(a!) |
| 16341 | inline at::Tensor & linalg_cond_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::string_view p) { |
| 16342 | return at::_ops::linalg_cond_p_str_out::redispatch(dispatchKeySet, self, p, out); |
| 16343 | } |
| 16344 | |
| 16345 | // aten::linalg_cond.p_str_out(Tensor self, str p, *, Tensor(a!) out) -> Tensor(a!) |
| 16346 | inline at::Tensor & linalg_cond_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::string_view p, at::Tensor & out) { |
| 16347 | return at::_ops::linalg_cond_p_str_out::redispatch(dispatchKeySet, self, p, out); |
| 16348 | } |
| 16349 | |
| 16350 | // aten::linalg_pinv.atol_rtol_tensor(Tensor self, *, Tensor? atol=None, Tensor? rtol=None, bool hermitian=False) -> Tensor |
| 16351 | inline at::Tensor linalg_pinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & atol={}, const c10::optional<at::Tensor> & rtol={}, bool hermitian=false) { |
| 16352 | return at::_ops::linalg_pinv_atol_rtol_tensor::redispatch(dispatchKeySet, self, atol, rtol, hermitian); |
| 16353 | } |
| 16354 | |
| 16355 | // aten::linalg_pinv.atol_rtol_tensor_out(Tensor self, *, Tensor? atol=None, Tensor? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16356 | inline at::Tensor & linalg_pinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & atol={}, const c10::optional<at::Tensor> & rtol={}, bool hermitian=false) { |
| 16357 | return at::_ops::linalg_pinv_atol_rtol_tensor_out::redispatch(dispatchKeySet, self, atol, rtol, hermitian, out); |
| 16358 | } |
| 16359 | |
| 16360 | // aten::linalg_pinv.atol_rtol_tensor_out(Tensor self, *, Tensor? atol=None, Tensor? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16361 | inline at::Tensor & linalg_pinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & atol, const c10::optional<at::Tensor> & rtol, bool hermitian, at::Tensor & out) { |
| 16362 | return at::_ops::linalg_pinv_atol_rtol_tensor_out::redispatch(dispatchKeySet, self, atol, rtol, hermitian, out); |
| 16363 | } |
| 16364 | |
| 16365 | // aten::linalg_pinv.atol_rtol_float(Tensor self, *, float? atol=None, float? rtol=None, bool hermitian=False) -> Tensor |
| 16366 | inline at::Tensor linalg_pinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian=false) { |
| 16367 | return at::_ops::linalg_pinv_atol_rtol_float::redispatch(dispatchKeySet, self, atol, rtol, hermitian); |
| 16368 | } |
| 16369 | |
| 16370 | // aten::linalg_pinv.atol_rtol_float_out(Tensor self, *, float? atol=None, float? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16371 | inline at::Tensor & linalg_pinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian=false) { |
| 16372 | return at::_ops::linalg_pinv_atol_rtol_float_out::redispatch(dispatchKeySet, self, atol, rtol, hermitian, out); |
| 16373 | } |
| 16374 | |
| 16375 | // aten::linalg_pinv.atol_rtol_float_out(Tensor self, *, float? atol=None, float? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16376 | inline at::Tensor & linalg_pinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian, at::Tensor & out) { |
| 16377 | return at::_ops::linalg_pinv_atol_rtol_float_out::redispatch(dispatchKeySet, self, atol, rtol, hermitian, out); |
| 16378 | } |
| 16379 | |
| 16380 | // aten::linalg_pinv(Tensor self, float rcond, bool hermitian=False) -> Tensor |
| 16381 | inline at::Tensor linalg_pinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double rcond, bool hermitian=false) { |
| 16382 | return at::_ops::linalg_pinv::redispatch(dispatchKeySet, self, rcond, hermitian); |
| 16383 | } |
| 16384 | |
| 16385 | // aten::linalg_pinv.rcond_tensor(Tensor self, Tensor rcond, bool hermitian=False) -> Tensor |
| 16386 | inline at::Tensor linalg_pinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & rcond, bool hermitian=false) { |
| 16387 | return at::_ops::linalg_pinv_rcond_tensor::redispatch(dispatchKeySet, self, rcond, hermitian); |
| 16388 | } |
| 16389 | |
| 16390 | // aten::linalg_pinv.out(Tensor self, float rcond, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16391 | inline at::Tensor & linalg_pinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double rcond, bool hermitian=false) { |
| 16392 | return at::_ops::linalg_pinv_out::redispatch(dispatchKeySet, self, rcond, hermitian, out); |
| 16393 | } |
| 16394 | |
| 16395 | // aten::linalg_pinv.out(Tensor self, float rcond, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16396 | inline at::Tensor & linalg_pinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double rcond, bool hermitian, at::Tensor & out) { |
| 16397 | return at::_ops::linalg_pinv_out::redispatch(dispatchKeySet, self, rcond, hermitian, out); |
| 16398 | } |
| 16399 | |
| 16400 | // aten::linalg_pinv.out_rcond_tensor(Tensor self, Tensor rcond, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16401 | inline at::Tensor & linalg_pinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & rcond, bool hermitian=false) { |
| 16402 | return at::_ops::linalg_pinv_out_rcond_tensor::redispatch(dispatchKeySet, self, rcond, hermitian, out); |
| 16403 | } |
| 16404 | |
| 16405 | // aten::linalg_pinv.out_rcond_tensor(Tensor self, Tensor rcond, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16406 | inline at::Tensor & linalg_pinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & rcond, bool hermitian, at::Tensor & out) { |
| 16407 | return at::_ops::linalg_pinv_out_rcond_tensor::redispatch(dispatchKeySet, self, rcond, hermitian, out); |
| 16408 | } |
| 16409 | |
| 16410 | // aten::_linalg_solve_ex(Tensor A, Tensor B, *, bool left=True, bool check_errors=False) -> (Tensor result, Tensor LU, Tensor pivots, Tensor info) |
| 16411 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _linalg_solve_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, const at::Tensor & B, bool left=true, bool check_errors=false) { |
| 16412 | return at::_ops::_linalg_solve_ex::redispatch(dispatchKeySet, A, B, left, check_errors); |
| 16413 | } |
| 16414 | |
| 16415 | // aten::_linalg_solve_ex.result(Tensor A, Tensor B, *, bool left=True, bool check_errors=False, Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots, Tensor(d!) info) -> (Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots, Tensor(d!) info) |
| 16416 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _linalg_solve_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & result, at::Tensor & LU, at::Tensor & pivots, at::Tensor & info, const at::Tensor & A, const at::Tensor & B, bool left=true, bool check_errors=false) { |
| 16417 | return at::_ops::_linalg_solve_ex_result::redispatch(dispatchKeySet, A, B, left, check_errors, result, LU, pivots, info); |
| 16418 | } |
| 16419 | |
| 16420 | // aten::_linalg_solve_ex.result(Tensor A, Tensor B, *, bool left=True, bool check_errors=False, Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots, Tensor(d!) info) -> (Tensor(a!) result, Tensor(b!) LU, Tensor(c!) pivots, Tensor(d!) info) |
| 16421 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _linalg_solve_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, const at::Tensor & B, bool left, bool check_errors, at::Tensor & result, at::Tensor & LU, at::Tensor & pivots, at::Tensor & info) { |
| 16422 | return at::_ops::_linalg_solve_ex_result::redispatch(dispatchKeySet, A, B, left, check_errors, result, LU, pivots, info); |
| 16423 | } |
| 16424 | |
| 16425 | // aten::linalg_solve_ex(Tensor A, Tensor B, *, bool left=True, bool check_errors=False) -> (Tensor result, Tensor info) |
| 16426 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_solve_ex(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, const at::Tensor & B, bool left=true, bool check_errors=false) { |
| 16427 | return at::_ops::linalg_solve_ex::redispatch(dispatchKeySet, A, B, left, check_errors); |
| 16428 | } |
| 16429 | |
| 16430 | // aten::linalg_solve_ex.out(Tensor A, Tensor B, *, bool left=True, bool check_errors=False, Tensor(a!) result, Tensor(b!) info) -> (Tensor(a!) result, Tensor(b!) info) |
| 16431 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_solve_ex_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & result, at::Tensor & info, const at::Tensor & A, const at::Tensor & B, bool left=true, bool check_errors=false) { |
| 16432 | return at::_ops::linalg_solve_ex_out::redispatch(dispatchKeySet, A, B, left, check_errors, result, info); |
| 16433 | } |
| 16434 | |
| 16435 | // aten::linalg_solve_ex.out(Tensor A, Tensor B, *, bool left=True, bool check_errors=False, Tensor(a!) result, Tensor(b!) info) -> (Tensor(a!) result, Tensor(b!) info) |
| 16436 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_solve_ex_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, const at::Tensor & B, bool left, bool check_errors, at::Tensor & result, at::Tensor & info) { |
| 16437 | return at::_ops::linalg_solve_ex_out::redispatch(dispatchKeySet, A, B, left, check_errors, result, info); |
| 16438 | } |
| 16439 | |
| 16440 | // aten::linalg_solve(Tensor A, Tensor B, *, bool left=True) -> Tensor |
| 16441 | inline at::Tensor linalg_solve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, const at::Tensor & B, bool left=true) { |
| 16442 | return at::_ops::linalg_solve::redispatch(dispatchKeySet, A, B, left); |
| 16443 | } |
| 16444 | |
| 16445 | // aten::linalg_solve.out(Tensor A, Tensor B, *, bool left=True, Tensor(a!) out) -> Tensor(a!) |
| 16446 | inline at::Tensor & linalg_solve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & A, const at::Tensor & B, bool left=true) { |
| 16447 | return at::_ops::linalg_solve_out::redispatch(dispatchKeySet, A, B, left, out); |
| 16448 | } |
| 16449 | |
| 16450 | // aten::linalg_solve.out(Tensor A, Tensor B, *, bool left=True, Tensor(a!) out) -> Tensor(a!) |
| 16451 | inline at::Tensor & linalg_solve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, const at::Tensor & B, bool left, at::Tensor & out) { |
| 16452 | return at::_ops::linalg_solve_out::redispatch(dispatchKeySet, A, B, left, out); |
| 16453 | } |
| 16454 | |
| 16455 | // aten::linalg_tensorinv(Tensor self, int ind=2) -> Tensor |
| 16456 | inline at::Tensor linalg_tensorinv(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t ind=2) { |
| 16457 | return at::_ops::linalg_tensorinv::redispatch(dispatchKeySet, self, ind); |
| 16458 | } |
| 16459 | |
| 16460 | // aten::linalg_tensorinv.out(Tensor self, int ind=2, *, Tensor(a!) out) -> Tensor(a!) |
| 16461 | inline at::Tensor & linalg_tensorinv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t ind=2) { |
| 16462 | return at::_ops::linalg_tensorinv_out::redispatch(dispatchKeySet, self, ind, out); |
| 16463 | } |
| 16464 | |
| 16465 | // aten::linalg_tensorinv.out(Tensor self, int ind=2, *, Tensor(a!) out) -> Tensor(a!) |
| 16466 | inline at::Tensor & linalg_tensorinv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t ind, at::Tensor & out) { |
| 16467 | return at::_ops::linalg_tensorinv_out::redispatch(dispatchKeySet, self, ind, out); |
| 16468 | } |
| 16469 | |
| 16470 | // aten::linalg_tensorsolve(Tensor self, Tensor other, int[]? dims=None) -> Tensor |
| 16471 | inline at::Tensor linalg_tensorsolve(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims=c10::nullopt) { |
| 16472 | return at::_ops::linalg_tensorsolve::redispatch(dispatchKeySet, self, other, dims); |
| 16473 | } |
| 16474 | |
| 16475 | // aten::linalg_tensorsolve.out(Tensor self, Tensor other, int[]? dims=None, *, Tensor(a!) out) -> Tensor(a!) |
| 16476 | inline at::Tensor & linalg_tensorsolve_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims=c10::nullopt) { |
| 16477 | return at::_ops::linalg_tensorsolve_out::redispatch(dispatchKeySet, self, other, dims, out); |
| 16478 | } |
| 16479 | |
| 16480 | // aten::linalg_tensorsolve.out(Tensor self, Tensor other, int[]? dims=None, *, Tensor(a!) out) -> Tensor(a!) |
| 16481 | inline at::Tensor & linalg_tensorsolve_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims, at::Tensor & out) { |
| 16482 | return at::_ops::linalg_tensorsolve_out::redispatch(dispatchKeySet, self, other, dims, out); |
| 16483 | } |
| 16484 | |
| 16485 | // aten::linalg_qr(Tensor A, str mode='reduced') -> (Tensor Q, Tensor R) |
| 16486 | inline ::std::tuple<at::Tensor,at::Tensor> linalg_qr(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, c10::string_view mode="reduced") { |
| 16487 | return at::_ops::linalg_qr::redispatch(dispatchKeySet, A, mode); |
| 16488 | } |
| 16489 | |
| 16490 | // aten::linalg_qr.out(Tensor A, str mode='reduced', *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R) |
| 16491 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_qr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & Q, at::Tensor & R, const at::Tensor & A, c10::string_view mode="reduced") { |
| 16492 | return at::_ops::linalg_qr_out::redispatch(dispatchKeySet, A, mode, Q, R); |
| 16493 | } |
| 16494 | |
| 16495 | // aten::linalg_qr.out(Tensor A, str mode='reduced', *, Tensor(a!) Q, Tensor(b!) R) -> (Tensor(a!) Q, Tensor(b!) R) |
| 16496 | inline ::std::tuple<at::Tensor &,at::Tensor &> linalg_qr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, c10::string_view mode, at::Tensor & Q, at::Tensor & R) { |
| 16497 | return at::_ops::linalg_qr_out::redispatch(dispatchKeySet, A, mode, Q, R); |
| 16498 | } |
| 16499 | |
| 16500 | // aten::linalg_matrix_power(Tensor self, int n) -> Tensor |
| 16501 | inline at::Tensor linalg_matrix_power(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n) { |
| 16502 | return at::_ops::linalg_matrix_power::redispatch(dispatchKeySet, self, n); |
| 16503 | } |
| 16504 | |
| 16505 | // aten::linalg_matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!) |
| 16506 | inline at::Tensor & linalg_matrix_power_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t n) { |
| 16507 | return at::_ops::linalg_matrix_power_out::redispatch(dispatchKeySet, self, n, out); |
| 16508 | } |
| 16509 | |
| 16510 | // aten::linalg_matrix_power.out(Tensor self, int n, *, Tensor(a!) out) -> Tensor(a!) |
| 16511 | inline at::Tensor & linalg_matrix_power_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t n, at::Tensor & out) { |
| 16512 | return at::_ops::linalg_matrix_power_out::redispatch(dispatchKeySet, self, n, out); |
| 16513 | } |
| 16514 | |
| 16515 | // aten::linalg_matrix_rank.atol_rtol_tensor(Tensor input, *, Tensor? atol=None, Tensor? rtol=None, bool hermitian=False) -> Tensor |
| 16516 | inline at::Tensor linalg_matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & atol={}, const c10::optional<at::Tensor> & rtol={}, bool hermitian=false) { |
| 16517 | return at::_ops::linalg_matrix_rank_atol_rtol_tensor::redispatch(dispatchKeySet, input, atol, rtol, hermitian); |
| 16518 | } |
| 16519 | |
| 16520 | // aten::linalg_matrix_rank.atol_rtol_tensor_out(Tensor input, *, Tensor? atol=None, Tensor? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16521 | inline at::Tensor & linalg_matrix_rank_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const c10::optional<at::Tensor> & atol={}, const c10::optional<at::Tensor> & rtol={}, bool hermitian=false) { |
| 16522 | return at::_ops::linalg_matrix_rank_atol_rtol_tensor_out::redispatch(dispatchKeySet, input, atol, rtol, hermitian, out); |
| 16523 | } |
| 16524 | |
| 16525 | // aten::linalg_matrix_rank.atol_rtol_tensor_out(Tensor input, *, Tensor? atol=None, Tensor? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16526 | inline at::Tensor & linalg_matrix_rank_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & atol, const c10::optional<at::Tensor> & rtol, bool hermitian, at::Tensor & out) { |
| 16527 | return at::_ops::linalg_matrix_rank_atol_rtol_tensor_out::redispatch(dispatchKeySet, input, atol, rtol, hermitian, out); |
| 16528 | } |
| 16529 | |
| 16530 | // aten::linalg_matrix_rank.atol_rtol_float(Tensor self, *, float? atol=None, float? rtol=None, bool hermitian=False) -> Tensor |
| 16531 | inline at::Tensor linalg_matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian=false) { |
| 16532 | return at::_ops::linalg_matrix_rank_atol_rtol_float::redispatch(dispatchKeySet, self, atol, rtol, hermitian); |
| 16533 | } |
| 16534 | |
| 16535 | // aten::linalg_matrix_rank.atol_rtol_float_out(Tensor self, *, float? atol=None, float? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16536 | inline at::Tensor & linalg_matrix_rank_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian=false) { |
| 16537 | return at::_ops::linalg_matrix_rank_atol_rtol_float_out::redispatch(dispatchKeySet, self, atol, rtol, hermitian, out); |
| 16538 | } |
| 16539 | |
| 16540 | // aten::linalg_matrix_rank.atol_rtol_float_out(Tensor self, *, float? atol=None, float? rtol=None, bool hermitian=False, Tensor(a!) out) -> Tensor(a!) |
| 16541 | inline at::Tensor & linalg_matrix_rank_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian, at::Tensor & out) { |
| 16542 | return at::_ops::linalg_matrix_rank_atol_rtol_float_out::redispatch(dispatchKeySet, self, atol, rtol, hermitian, out); |
| 16543 | } |
| 16544 | |
| 16545 | // aten::linalg_matrix_rank(Tensor self, float tol, bool hermitian=False) -> Tensor |
| 16546 | inline at::Tensor linalg_matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double tol, bool hermitian=false) { |
| 16547 | return at::_ops::linalg_matrix_rank::redispatch(dispatchKeySet, self, tol, hermitian); |
| 16548 | } |
| 16549 | |
| 16550 | // aten::linalg_matrix_rank.out(Tensor self, float tol, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16551 | inline at::Tensor & linalg_matrix_rank_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double tol, bool hermitian=false) { |
| 16552 | return at::_ops::linalg_matrix_rank_out::redispatch(dispatchKeySet, self, tol, hermitian, out); |
| 16553 | } |
| 16554 | |
| 16555 | // aten::linalg_matrix_rank.out(Tensor self, float tol, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16556 | inline at::Tensor & linalg_matrix_rank_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double tol, bool hermitian, at::Tensor & out) { |
| 16557 | return at::_ops::linalg_matrix_rank_out::redispatch(dispatchKeySet, self, tol, hermitian, out); |
| 16558 | } |
| 16559 | |
| 16560 | // aten::linalg_matrix_rank.tol_tensor(Tensor input, Tensor tol, bool hermitian=False) -> Tensor |
| 16561 | inline at::Tensor linalg_matrix_rank(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tol, bool hermitian=false) { |
| 16562 | return at::_ops::linalg_matrix_rank_tol_tensor::redispatch(dispatchKeySet, input, tol, hermitian); |
| 16563 | } |
| 16564 | |
| 16565 | // aten::linalg_matrix_rank.out_tol_tensor(Tensor input, Tensor tol, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16566 | inline at::Tensor & linalg_matrix_rank_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & tol, bool hermitian=false) { |
| 16567 | return at::_ops::linalg_matrix_rank_out_tol_tensor::redispatch(dispatchKeySet, input, tol, hermitian, out); |
| 16568 | } |
| 16569 | |
| 16570 | // aten::linalg_matrix_rank.out_tol_tensor(Tensor input, Tensor tol, bool hermitian=False, *, Tensor(a!) out) -> Tensor(a!) |
| 16571 | inline at::Tensor & linalg_matrix_rank_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & tol, bool hermitian, at::Tensor & out) { |
| 16572 | return at::_ops::linalg_matrix_rank_out_tol_tensor::redispatch(dispatchKeySet, input, tol, hermitian, out); |
| 16573 | } |
| 16574 | |
| 16575 | // aten::linalg_multi_dot(Tensor[] tensors) -> Tensor |
| 16576 | inline at::Tensor linalg_multi_dot(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 16577 | return at::_ops::linalg_multi_dot::redispatch(dispatchKeySet, tensors); |
| 16578 | } |
| 16579 | |
| 16580 | // aten::linalg_multi_dot.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 16581 | inline at::Tensor & linalg_multi_dot_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) { |
| 16582 | return at::_ops::linalg_multi_dot_out::redispatch(dispatchKeySet, tensors, out); |
| 16583 | } |
| 16584 | |
| 16585 | // aten::linalg_multi_dot.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 16586 | inline at::Tensor & linalg_multi_dot_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) { |
| 16587 | return at::_ops::linalg_multi_dot_out::redispatch(dispatchKeySet, tensors, out); |
| 16588 | } |
| 16589 | |
| 16590 | // aten::nested_to_padded_tensor(Tensor self, float padding, int[]? output_size=None) -> Tensor |
| 16591 | inline at::Tensor nested_to_padded_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double padding, at::OptionalIntArrayRef output_size=c10::nullopt) { |
| 16592 | return at::_ops::nested_to_padded_tensor::redispatch(dispatchKeySet, self, padding, output_size); |
| 16593 | } |
| 16594 | |
| 16595 | // aten::_test_serialization_subcmul(Tensor self, Tensor other, Scalar alpha=1) -> Tensor |
| 16596 | inline at::Tensor _test_serialization_subcmul(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 16597 | return at::_ops::_test_serialization_subcmul::redispatch(dispatchKeySet, self, other, alpha); |
| 16598 | } |
| 16599 | |
| 16600 | // aten::_test_optional_intlist(Tensor values, int[]? addends) -> Tensor |
| 16601 | inline at::Tensor _test_optional_intlist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, at::OptionalIntArrayRef addends) { |
| 16602 | return at::_ops::_test_optional_intlist::redispatch(dispatchKeySet, values, addends); |
| 16603 | } |
| 16604 | |
| 16605 | // aten::_test_optional_filled_intlist(Tensor values, int[2]? addends) -> Tensor |
| 16606 | inline at::Tensor _test_optional_filled_intlist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, at::OptionalIntArrayRef addends) { |
| 16607 | return at::_ops::_test_optional_filled_intlist::redispatch(dispatchKeySet, values, addends); |
| 16608 | } |
| 16609 | |
| 16610 | // aten::_test_optional_floatlist(Tensor values, float[]? addends) -> Tensor |
| 16611 | inline at::Tensor _test_optional_floatlist(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, c10::optional<at::ArrayRef<double>> addends) { |
| 16612 | return at::_ops::_test_optional_floatlist::redispatch(dispatchKeySet, values, addends); |
| 16613 | } |
| 16614 | |
| 16615 | // aten::_test_string_default(Tensor dummy, str a="\"'\\", str b='"\'\\') -> Tensor |
| 16616 | inline at::Tensor _test_string_default(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dummy, c10::string_view a="\"'\\", c10::string_view b= "\"'\\") { |
| 16617 | return at::_ops::_test_string_default::redispatch(dispatchKeySet, dummy, a, b); |
| 16618 | } |
| 16619 | |
| 16620 | // aten::_test_ambiguous_defaults.a(Tensor dummy, int a=1, int b=1) -> Tensor |
| 16621 | inline at::Tensor _test_ambiguous_defaults(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dummy, int64_t a=1, int64_t b=1) { |
| 16622 | return at::_ops::_test_ambiguous_defaults_a::redispatch(dispatchKeySet, dummy, a, b); |
| 16623 | } |
| 16624 | |
| 16625 | // aten::_test_ambiguous_defaults.b(Tensor dummy, int a=2, str b="2") -> Tensor |
| 16626 | inline at::Tensor _test_ambiguous_defaults(c10::DispatchKeySet dispatchKeySet, const at::Tensor & dummy, int64_t a, c10::string_view b) { |
| 16627 | return at::_ops::_test_ambiguous_defaults_b::redispatch(dispatchKeySet, dummy, a, b); |
| 16628 | } |
| 16629 | |
| 16630 | // aten::_test_warn_in_autograd(Tensor self) -> Tensor |
| 16631 | inline at::Tensor _test_warn_in_autograd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16632 | return at::_ops::_test_warn_in_autograd::redispatch(dispatchKeySet, self); |
| 16633 | } |
| 16634 | |
| 16635 | // aten::_test_autograd_multiple_dispatch.fullcoverage(Tensor self) -> Tensor |
| 16636 | inline at::Tensor _test_autograd_multiple_dispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16637 | return at::_ops::_test_autograd_multiple_dispatch_fullcoverage::redispatch(dispatchKeySet, self); |
| 16638 | } |
| 16639 | |
| 16640 | // aten::_test_autograd_multiple_dispatch.ntonly(Tensor self, bool b) -> Tensor |
| 16641 | inline at::Tensor _test_autograd_multiple_dispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool b) { |
| 16642 | return at::_ops::_test_autograd_multiple_dispatch_ntonly::redispatch(dispatchKeySet, self, b); |
| 16643 | } |
| 16644 | |
| 16645 | // aten::_test_autograd_multiple_dispatch_view(Tensor(a) self) -> Tensor(a) |
| 16646 | inline at::Tensor _test_autograd_multiple_dispatch_view(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16647 | return at::_ops::_test_autograd_multiple_dispatch_view::redispatch(dispatchKeySet, self); |
| 16648 | } |
| 16649 | |
| 16650 | // aten::_test_autograd_multiple_dispatch_view_copy(Tensor self) -> Tensor |
| 16651 | inline at::Tensor _test_autograd_multiple_dispatch_view_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16652 | return at::_ops::_test_autograd_multiple_dispatch_view_copy::redispatch(dispatchKeySet, self); |
| 16653 | } |
| 16654 | |
| 16655 | // aten::segment_reduce(Tensor data, str reduce, *, Tensor? lengths=None, Tensor? indices=None, Tensor? offsets=None, int axis=0, bool unsafe=False, Scalar? initial=None) -> Tensor |
| 16656 | inline at::Tensor segment_reduce(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths={}, const c10::optional<at::Tensor> & indices={}, const c10::optional<at::Tensor> & offsets={}, int64_t axis=0, bool unsafe=false, const c10::optional<at::Scalar> & initial=c10::nullopt) { |
| 16657 | return at::_ops::segment_reduce::redispatch(dispatchKeySet, data, reduce, lengths, indices, offsets, axis, unsafe, initial); |
| 16658 | } |
| 16659 | |
| 16660 | // aten::_segment_reduce_backward(Tensor grad, Tensor output, Tensor data, str reduce, *, Tensor? lengths=None, Tensor? offsets=None, int axis=0, Scalar? initial=None) -> Tensor |
| 16661 | inline at::Tensor _segment_reduce_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & output, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths={}, const c10::optional<at::Tensor> & offsets={}, int64_t axis=0, const c10::optional<at::Scalar> & initial=c10::nullopt) { |
| 16662 | return at::_ops::_segment_reduce_backward::redispatch(dispatchKeySet, grad, output, data, reduce, lengths, offsets, axis, initial); |
| 16663 | } |
| 16664 | |
| 16665 | // aten::pad_sequence(Tensor[] sequences, bool batch_first=False, float padding_value=0.0) -> Tensor |
| 16666 | inline at::Tensor pad_sequence(c10::DispatchKeySet dispatchKeySet, at::TensorList sequences, bool batch_first=false, double padding_value=0.0) { |
| 16667 | return at::_ops::pad_sequence::redispatch(dispatchKeySet, sequences, batch_first, padding_value); |
| 16668 | } |
| 16669 | |
| 16670 | // aten::flatten_dense_tensors(Tensor[] tensors) -> Tensor |
| 16671 | inline at::Tensor flatten_dense_tensors(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors) { |
| 16672 | return at::_ops::flatten_dense_tensors::redispatch(dispatchKeySet, tensors); |
| 16673 | } |
| 16674 | |
| 16675 | // aten::unflatten_dense_tensors(Tensor flat, Tensor[] tensors) -> Tensor[] |
| 16676 | inline ::std::vector<at::Tensor> unflatten_dense_tensors(c10::DispatchKeySet dispatchKeySet, const at::Tensor & flat, at::TensorList tensors) { |
| 16677 | return at::_ops::unflatten_dense_tensors::redispatch(dispatchKeySet, flat, tensors); |
| 16678 | } |
| 16679 | |
| 16680 | // aten::_nested_tensor_from_tensor_list(Tensor[] list, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 16681 | inline at::Tensor _nested_tensor_from_tensor_list(c10::DispatchKeySet dispatchKeySet, at::TensorList list, c10::optional<at::ScalarType> dtype=c10::nullopt, c10::optional<at::Layout> layout=c10::nullopt, c10::optional<at::Device> device=c10::nullopt, c10::optional<bool> pin_memory=c10::nullopt) { |
| 16682 | return at::_ops::_nested_tensor_from_tensor_list::redispatch(dispatchKeySet, list, dtype, layout, device, pin_memory); |
| 16683 | } |
| 16684 | |
| 16685 | // aten::_fw_primal_copy(Tensor self, int level) -> Tensor |
| 16686 | inline at::Tensor _fw_primal_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t level) { |
| 16687 | return at::_ops::_fw_primal_copy::redispatch(dispatchKeySet, self, level); |
| 16688 | } |
| 16689 | |
| 16690 | // aten::_make_dual_copy(Tensor primal, Tensor tangent, int level) -> Tensor |
| 16691 | inline at::Tensor _make_dual_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & primal, const at::Tensor & tangent, int64_t level) { |
| 16692 | return at::_ops::_make_dual_copy::redispatch(dispatchKeySet, primal, tangent, level); |
| 16693 | } |
| 16694 | |
| 16695 | // aten::view_as_real_copy(Tensor self) -> Tensor |
| 16696 | inline at::Tensor view_as_real_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16697 | return at::_ops::view_as_real_copy::redispatch(dispatchKeySet, self); |
| 16698 | } |
| 16699 | |
| 16700 | // aten::view_as_complex_copy(Tensor self) -> Tensor |
| 16701 | inline at::Tensor view_as_complex_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16702 | return at::_ops::view_as_complex_copy::redispatch(dispatchKeySet, self); |
| 16703 | } |
| 16704 | |
| 16705 | // aten::_conj_copy(Tensor self) -> Tensor |
| 16706 | inline at::Tensor _conj_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16707 | return at::_ops::_conj_copy::redispatch(dispatchKeySet, self); |
| 16708 | } |
| 16709 | |
| 16710 | // aten::_neg_view_copy(Tensor self) -> Tensor |
| 16711 | inline at::Tensor _neg_view_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16712 | return at::_ops::_neg_view_copy::redispatch(dispatchKeySet, self); |
| 16713 | } |
| 16714 | |
| 16715 | // aten::as_strided_copy(Tensor self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor |
| 16716 | inline at::Tensor as_strided_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) { |
| 16717 | return at::_ops::as_strided_copy::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt); |
| 16718 | } |
| 16719 | |
| 16720 | // aten::as_strided_copy(Tensor self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor |
| 16721 | inline at::Tensor as_strided_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) { |
| 16722 | return at::_ops::as_strided_copy::redispatch(dispatchKeySet, self, size, stride, storage_offset); |
| 16723 | } |
| 16724 | |
| 16725 | // aten::_sparse_broadcast_to_copy(Tensor self, int[] size) -> Tensor |
| 16726 | inline at::Tensor _sparse_broadcast_to_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 16727 | return at::_ops::_sparse_broadcast_to_copy::redispatch(dispatchKeySet, self, size); |
| 16728 | } |
| 16729 | |
| 16730 | // aten::diagonal_copy(Tensor self, int offset=0, int dim1=0, int dim2=1) -> Tensor |
| 16731 | inline at::Tensor diagonal_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) { |
| 16732 | return at::_ops::diagonal_copy::redispatch(dispatchKeySet, self, offset, dim1, dim2); |
| 16733 | } |
| 16734 | |
| 16735 | // aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor |
| 16736 | inline at::Tensor expand_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, bool implicit=false) { |
| 16737 | return at::_ops::expand_copy::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), implicit); |
| 16738 | } |
| 16739 | |
| 16740 | // aten::expand_copy(Tensor self, SymInt[] size, *, bool implicit=False) -> Tensor |
| 16741 | inline at::Tensor expand_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, bool implicit=false) { |
| 16742 | return at::_ops::expand_copy::redispatch(dispatchKeySet, self, size, implicit); |
| 16743 | } |
| 16744 | |
| 16745 | // aten::permute_copy(Tensor self, int[] dims) -> Tensor |
| 16746 | inline at::Tensor permute_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims) { |
| 16747 | return at::_ops::permute_copy::redispatch(dispatchKeySet, self, dims); |
| 16748 | } |
| 16749 | |
| 16750 | // aten::_reshape_alias_copy(Tensor self, SymInt[] size, SymInt[] stride) -> Tensor |
| 16751 | inline at::Tensor _reshape_alias_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride) { |
| 16752 | return at::_ops::_reshape_alias_copy::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 16753 | } |
| 16754 | |
| 16755 | // aten::_reshape_alias_copy(Tensor self, SymInt[] size, SymInt[] stride) -> Tensor |
| 16756 | inline at::Tensor _reshape_alias_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) { |
| 16757 | return at::_ops::_reshape_alias_copy::redispatch(dispatchKeySet, self, size, stride); |
| 16758 | } |
| 16759 | |
| 16760 | // aten::select_copy.int(Tensor self, int dim, SymInt index) -> Tensor |
| 16761 | inline at::Tensor select_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t index) { |
| 16762 | return at::_ops::select_copy_int::redispatch(dispatchKeySet, self, dim, index); |
| 16763 | } |
| 16764 | |
| 16765 | // aten::select_copy.int(Tensor self, int dim, SymInt index) -> Tensor |
| 16766 | inline at::Tensor select_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::SymInt index) { |
| 16767 | return at::_ops::select_copy_int::redispatch(dispatchKeySet, self, dim, index); |
| 16768 | } |
| 16769 | |
| 16770 | // aten::detach_copy(Tensor self) -> Tensor |
| 16771 | inline at::Tensor detach_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16772 | return at::_ops::detach_copy::redispatch(dispatchKeySet, self); |
| 16773 | } |
| 16774 | |
| 16775 | // aten::slice_copy.Tensor(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor |
| 16776 | inline at::Tensor slice_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) { |
| 16777 | return at::_ops::slice_copy_Tensor::redispatch(dispatchKeySet, self, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step); |
| 16778 | } |
| 16779 | |
| 16780 | // aten::slice_copy.Tensor(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor |
| 16781 | inline at::Tensor slice_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0, c10::optional<c10::SymInt> start=c10::nullopt, c10::optional<c10::SymInt> end=c10::nullopt, c10::SymInt step=1) { |
| 16782 | return at::_ops::slice_copy_Tensor::redispatch(dispatchKeySet, self, dim, start, end, step); |
| 16783 | } |
| 16784 | |
| 16785 | // aten::split_copy.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[] |
| 16786 | inline ::std::vector<at::Tensor> split_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t split_size, int64_t dim=0) { |
| 16787 | return at::_ops::split_copy_Tensor::redispatch(dispatchKeySet, self, split_size, dim); |
| 16788 | } |
| 16789 | |
| 16790 | // aten::split_copy.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[] |
| 16791 | inline ::std::vector<at::Tensor> split_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) { |
| 16792 | return at::_ops::split_copy_Tensor::redispatch(dispatchKeySet, self, split_size, dim); |
| 16793 | } |
| 16794 | |
| 16795 | // aten::split_with_sizes_copy(Tensor self, SymInt[] split_sizes, int dim=0) -> Tensor[] |
| 16796 | inline ::std::vector<at::Tensor> split_with_sizes_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim=0) { |
| 16797 | return at::_ops::split_with_sizes_copy::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_sizes), dim); |
| 16798 | } |
| 16799 | |
| 16800 | // aten::split_with_sizes_copy(Tensor self, SymInt[] split_sizes, int dim=0) -> Tensor[] |
| 16801 | inline ::std::vector<at::Tensor> split_with_sizes_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef split_sizes, int64_t dim=0) { |
| 16802 | return at::_ops::split_with_sizes_copy::redispatch(dispatchKeySet, self, split_sizes, dim); |
| 16803 | } |
| 16804 | |
| 16805 | // aten::squeeze_copy(Tensor self) -> Tensor |
| 16806 | inline at::Tensor squeeze_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16807 | return at::_ops::squeeze_copy::redispatch(dispatchKeySet, self); |
| 16808 | } |
| 16809 | |
| 16810 | // aten::squeeze_copy.dim(Tensor self, int dim) -> Tensor |
| 16811 | inline at::Tensor squeeze_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 16812 | return at::_ops::squeeze_copy_dim::redispatch(dispatchKeySet, self, dim); |
| 16813 | } |
| 16814 | |
| 16815 | // aten::squeeze_copy.dims(Tensor self, int[] dim) -> Tensor |
| 16816 | inline at::Tensor squeeze_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim) { |
| 16817 | return at::_ops::squeeze_copy_dims::redispatch(dispatchKeySet, self, dim); |
| 16818 | } |
| 16819 | |
| 16820 | // aten::t_copy(Tensor self) -> Tensor |
| 16821 | inline at::Tensor t_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16822 | return at::_ops::t_copy::redispatch(dispatchKeySet, self); |
| 16823 | } |
| 16824 | |
| 16825 | // aten::transpose_copy.int(Tensor self, int dim0, int dim1) -> Tensor |
| 16826 | inline at::Tensor transpose_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 16827 | return at::_ops::transpose_copy_int::redispatch(dispatchKeySet, self, dim0, dim1); |
| 16828 | } |
| 16829 | |
| 16830 | // aten::unsqueeze_copy(Tensor self, int dim) -> Tensor |
| 16831 | inline at::Tensor unsqueeze_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim) { |
| 16832 | return at::_ops::unsqueeze_copy::redispatch(dispatchKeySet, self, dim); |
| 16833 | } |
| 16834 | |
| 16835 | // aten::_indices_copy(Tensor self) -> Tensor |
| 16836 | inline at::Tensor _indices_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16837 | return at::_ops::_indices_copy::redispatch(dispatchKeySet, self); |
| 16838 | } |
| 16839 | |
| 16840 | // aten::_values_copy(Tensor self) -> Tensor |
| 16841 | inline at::Tensor _values_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16842 | return at::_ops::_values_copy::redispatch(dispatchKeySet, self); |
| 16843 | } |
| 16844 | |
| 16845 | // aten::indices_copy(Tensor self) -> Tensor |
| 16846 | inline at::Tensor indices_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16847 | return at::_ops::indices_copy::redispatch(dispatchKeySet, self); |
| 16848 | } |
| 16849 | |
| 16850 | // aten::values_copy(Tensor self) -> Tensor |
| 16851 | inline at::Tensor values_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16852 | return at::_ops::values_copy::redispatch(dispatchKeySet, self); |
| 16853 | } |
| 16854 | |
| 16855 | // aten::crow_indices_copy(Tensor self) -> Tensor |
| 16856 | inline at::Tensor crow_indices_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16857 | return at::_ops::crow_indices_copy::redispatch(dispatchKeySet, self); |
| 16858 | } |
| 16859 | |
| 16860 | // aten::col_indices_copy(Tensor self) -> Tensor |
| 16861 | inline at::Tensor col_indices_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16862 | return at::_ops::col_indices_copy::redispatch(dispatchKeySet, self); |
| 16863 | } |
| 16864 | |
| 16865 | // aten::ccol_indices_copy(Tensor self) -> Tensor |
| 16866 | inline at::Tensor ccol_indices_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16867 | return at::_ops::ccol_indices_copy::redispatch(dispatchKeySet, self); |
| 16868 | } |
| 16869 | |
| 16870 | // aten::row_indices_copy(Tensor self) -> Tensor |
| 16871 | inline at::Tensor row_indices_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16872 | return at::_ops::row_indices_copy::redispatch(dispatchKeySet, self); |
| 16873 | } |
| 16874 | |
| 16875 | // aten::unbind_copy.int(Tensor self, int dim=0) -> Tensor[] |
| 16876 | inline ::std::vector<at::Tensor> unbind_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim=0) { |
| 16877 | return at::_ops::unbind_copy_int::redispatch(dispatchKeySet, self, dim); |
| 16878 | } |
| 16879 | |
| 16880 | // aten::unbind_copy.int_out(Tensor self, int dim=0, *, Tensor(a!)[] out) -> () |
| 16881 | inline void unbind_copy_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, int64_t dim=0) { |
| 16882 | return at::_ops::unbind_copy_int_out::redispatch(dispatchKeySet, self, dim, out); |
| 16883 | } |
| 16884 | |
| 16885 | // aten::unbind_copy.int_out(Tensor self, int dim=0, *, Tensor(a!)[] out) -> () |
| 16886 | inline void unbind_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::TensorList out) { |
| 16887 | return at::_ops::unbind_copy_int_out::redispatch(dispatchKeySet, self, dim, out); |
| 16888 | } |
| 16889 | |
| 16890 | // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 16891 | inline void split_copy_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, int64_t split_size, int64_t dim=0) { |
| 16892 | return at::_ops::split_copy_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 16893 | } |
| 16894 | |
| 16895 | // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 16896 | inline void split_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t split_size, int64_t dim, at::TensorList out) { |
| 16897 | return at::_ops::split_copy_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 16898 | } |
| 16899 | |
| 16900 | // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 16901 | inline void split_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) { |
| 16902 | return at::_ops::split_copy_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 16903 | } |
| 16904 | |
| 16905 | // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 16906 | inline void split_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt split_size, int64_t dim, at::TensorList out) { |
| 16907 | return at::_ops::split_copy_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 16908 | } |
| 16909 | |
| 16910 | // aten::split_with_sizes_copy.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 16911 | inline void split_with_sizes_copy_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim=0) { |
| 16912 | return at::_ops::split_with_sizes_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_sizes), dim, out); |
| 16913 | } |
| 16914 | |
| 16915 | // aten::split_with_sizes_copy.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 16916 | inline void split_with_sizes_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim, at::TensorList out) { |
| 16917 | return at::_ops::split_with_sizes_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_sizes), dim, out); |
| 16918 | } |
| 16919 | |
| 16920 | // aten::split_with_sizes_copy.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 16921 | inline void split_with_sizes_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, c10::SymIntArrayRef split_sizes, int64_t dim=0) { |
| 16922 | return at::_ops::split_with_sizes_copy_out::redispatch(dispatchKeySet, self, split_sizes, dim, out); |
| 16923 | } |
| 16924 | |
| 16925 | // aten::split_with_sizes_copy.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 16926 | inline void split_with_sizes_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef split_sizes, int64_t dim, at::TensorList out) { |
| 16927 | return at::_ops::split_with_sizes_copy_out::redispatch(dispatchKeySet, self, split_sizes, dim, out); |
| 16928 | } |
| 16929 | |
| 16930 | // aten::view_copy(Tensor self, SymInt[] size) -> Tensor |
| 16931 | inline at::Tensor view_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size) { |
| 16932 | return at::_ops::view_copy::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size)); |
| 16933 | } |
| 16934 | |
| 16935 | // aten::view_copy(Tensor self, SymInt[] size) -> Tensor |
| 16936 | inline at::Tensor view_copy_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 16937 | return at::_ops::view_copy::redispatch(dispatchKeySet, self, size); |
| 16938 | } |
| 16939 | |
| 16940 | // aten::view_copy.dtype(Tensor self, ScalarType dtype) -> Tensor |
| 16941 | inline at::Tensor view_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype) { |
| 16942 | return at::_ops::view_copy_dtype::redispatch(dispatchKeySet, self, dtype); |
| 16943 | } |
| 16944 | |
| 16945 | // aten::unfold_copy(Tensor self, int dimension, int size, int step) -> Tensor |
| 16946 | inline at::Tensor unfold_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dimension, int64_t size, int64_t step) { |
| 16947 | return at::_ops::unfold_copy::redispatch(dispatchKeySet, self, dimension, size, step); |
| 16948 | } |
| 16949 | |
| 16950 | // aten::alias_copy(Tensor self) -> Tensor |
| 16951 | inline at::Tensor alias_copy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 16952 | return at::_ops::alias_copy::redispatch(dispatchKeySet, self); |
| 16953 | } |
| 16954 | |
| 16955 | // aten::to_padded_tensor(Tensor self, float padding, SymInt[]? output_size=None) -> Tensor |
| 16956 | inline at::Tensor to_padded_tensor(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double padding, at::OptionalIntArrayRef output_size=c10::nullopt) { |
| 16957 | return at::_ops::to_padded_tensor::redispatch(dispatchKeySet, self, padding, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt); |
| 16958 | } |
| 16959 | |
| 16960 | // aten::to_padded_tensor(Tensor self, float padding, SymInt[]? output_size=None) -> Tensor |
| 16961 | inline at::Tensor to_padded_tensor_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double padding, at::OptionalSymIntArrayRef output_size=c10::nullopt) { |
| 16962 | return at::_ops::to_padded_tensor::redispatch(dispatchKeySet, self, padding, output_size); |
| 16963 | } |
| 16964 | |
| 16965 | // aten::_nested_tensor_softmax_with_shape(Tensor self, Tensor query) -> Tensor |
| 16966 | inline at::Tensor _nested_tensor_softmax_with_shape(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & query) { |
| 16967 | return at::_ops::_nested_tensor_softmax_with_shape::redispatch(dispatchKeySet, self, query); |
| 16968 | } |
| 16969 | |
| 16970 | // aten::_transformer_encoder_layer_fwd(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, int? mask_type=None) -> Tensor |
| 16971 | inline at::Tensor _transformer_encoder_layer_fwd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & src, int64_t embed_dim, int64_t num_heads, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, bool use_gelu, bool norm_first, double eps, const at::Tensor & norm_weight_1, const at::Tensor & norm_bias_1, const at::Tensor & norm_weight_2, const at::Tensor & norm_bias_2, const at::Tensor & ffn_weight_1, const at::Tensor & ffn_bias_1, const at::Tensor & ffn_weight_2, const at::Tensor & ffn_bias_2, const c10::optional<at::Tensor> & mask={}, c10::optional<int64_t> mask_type=c10::nullopt) { |
| 16972 | return at::_ops::_transformer_encoder_layer_fwd::redispatch(dispatchKeySet, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, mask_type); |
| 16973 | } |
| 16974 | |
| 16975 | // aten::_native_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, bool need_weights=True, bool average_attn_weights=True, int? mask_type=None) -> (Tensor, Tensor) |
| 16976 | inline ::std::tuple<at::Tensor,at::Tensor> _native_multi_head_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask={}, bool need_weights=true, bool average_attn_weights=true, c10::optional<int64_t> mask_type=c10::nullopt) { |
| 16977 | return at::_ops::_native_multi_head_attention::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, need_weights, average_attn_weights, mask_type); |
| 16978 | } |
| 16979 | |
| 16980 | // aten::scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False) -> Tensor |
| 16981 | inline at::Tensor scaled_dot_product_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask={}, double dropout_p=0.0, bool is_causal=false) { |
| 16982 | return at::_ops::scaled_dot_product_attention::redispatch(dispatchKeySet, query, key, value, attn_mask, dropout_p, is_causal); |
| 16983 | } |
| 16984 | |
| 16985 | // aten::_scaled_dot_product_attention(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool need_attn_weights=False, bool is_causal=False) -> (Tensor, Tensor) |
| 16986 | inline ::std::tuple<at::Tensor,at::Tensor> _scaled_dot_product_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask={}, double dropout_p=0.0, bool need_attn_weights=false, bool is_causal=false) { |
| 16987 | return at::_ops::_scaled_dot_product_attention::redispatch(dispatchKeySet, query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal); |
| 16988 | } |
| 16989 | |
| 16990 | // aten::_fused_sdp_choice(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False) -> int |
| 16991 | inline int64_t _fused_sdp_choice(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask={}, double dropout_p=0.0, bool is_causal=false) { |
| 16992 | return at::_ops::_fused_sdp_choice::redispatch(dispatchKeySet, query, key, value, attn_mask, dropout_p, is_causal); |
| 16993 | } |
| 16994 | |
| 16995 | // aten::_scaled_dot_product_attention_math(Tensor query, Tensor key, Tensor value, Tensor? attn_mask=None, float dropout_p=0.0, bool is_causal=False, Tensor? dropout_mask=None) -> (Tensor, Tensor) |
| 16996 | inline ::std::tuple<at::Tensor,at::Tensor> _scaled_dot_product_attention_math(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask={}, double dropout_p=0.0, bool is_causal=false, const c10::optional<at::Tensor> & dropout_mask={}) { |
| 16997 | return at::_ops::_scaled_dot_product_attention_math::redispatch(dispatchKeySet, query, key, value, attn_mask, dropout_p, is_causal, dropout_mask); |
| 16998 | } |
| 16999 | |
| 17000 | // aten::_scaled_dot_product_flash_attention(Tensor query, Tensor key, Tensor value, float dropout_p=0.0, bool is_causal=False, bool return_debug_mask=False) -> (Tensor ouput, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, int philox_seed, int philox_offset, Tensor debug_attn_mask) |
| 17001 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t,int64_t,int64_t,int64_t,at::Tensor> _scaled_dot_product_flash_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, double dropout_p=0.0, bool is_causal=false, bool return_debug_mask=false) { |
| 17002 | return at::_ops::_scaled_dot_product_flash_attention::redispatch(dispatchKeySet, query, key, value, dropout_p, is_causal, return_debug_mask); |
| 17003 | } |
| 17004 | |
| 17005 | // aten::_scaled_dot_product_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, int philox_seed, int philox_offset) -> (Tensor grad_query, Tensor grad_key, Tensor grad_value) |
| 17006 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _scaled_dot_product_flash_attention_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & out, const at::Tensor & logsumexp, const at::Tensor & cum_seq_q, const at::Tensor & cum_seq_k, int64_t max_q, int64_t max_k, double dropout_p, bool is_causal, int64_t philox_seed, int64_t philox_offset) { |
| 17007 | return at::_ops::_scaled_dot_product_flash_attention_backward::redispatch(dispatchKeySet, grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset); |
| 17008 | } |
| 17009 | |
| 17010 | // aten::_scaled_dot_product_efficient_attention(Tensor query, Tensor key, Tensor value, bool compute_log_sumexp, bool is_causal=False) -> (Tensor, Tensor) |
| 17011 | inline ::std::tuple<at::Tensor,at::Tensor> _scaled_dot_product_efficient_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, bool compute_log_sumexp, bool is_causal=false) { |
| 17012 | return at::_ops::_scaled_dot_product_efficient_attention::redispatch(dispatchKeySet, query, key, value, compute_log_sumexp, is_causal); |
| 17013 | } |
| 17014 | |
| 17015 | // aten::_scaled_dot_product_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, bool is_causal=False, bool chunk_grad_outputs=False) -> (Tensor, Tensor, Tensor) |
| 17016 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _scaled_dot_product_efficient_attention_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out_, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & out, const at::Tensor & logsumexp, bool is_causal=false, bool chunk_grad_outputs=false) { |
| 17017 | return at::_ops::_scaled_dot_product_efficient_attention_backward::redispatch(dispatchKeySet, grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs); |
| 17018 | } |
| 17019 | |
| 17020 | // aten::_chunk_grad_outputs_efficient_attention(Tensor query, Tensor key, Tensor value, bool is_causal=False) -> bool |
| 17021 | inline bool _chunk_grad_outputs_efficient_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, bool is_causal=false) { |
| 17022 | return at::_ops::_chunk_grad_outputs_efficient_attention::redispatch(dispatchKeySet, query, key, value, is_causal); |
| 17023 | } |
| 17024 | |
| 17025 | // aten::_flash_attention_forward(Tensor query, Tensor key, Tensor value, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, bool return_debug_mask) -> (Tensor output, Tensor softmax_logsumexp, int philox_seed, int philox_offset, Tensor debug_attn_mask) |
| 17026 | inline ::std::tuple<at::Tensor,at::Tensor,int64_t,int64_t,at::Tensor> _flash_attention_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & cum_seq_q, const at::Tensor & cum_seq_k, int64_t max_q, int64_t max_k, double dropout_p, bool is_causal, bool return_debug_mask) { |
| 17027 | return at::_ops::_flash_attention_forward::redispatch(dispatchKeySet, query, key, value, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, return_debug_mask); |
| 17028 | } |
| 17029 | |
| 17030 | // aten::_flash_attention_backward(Tensor grad_out, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, Tensor cum_seq_q, Tensor cum_seq_k, int max_q, int max_k, float dropout_p, bool is_causal, int philox_seed, int philox_offset) -> (Tensor, Tensor, Tensor) |
| 17031 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _flash_attention_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & out, const at::Tensor & logsumexp, const at::Tensor & cum_seq_q, const at::Tensor & cum_seq_k, int64_t max_q, int64_t max_k, double dropout_p, bool is_causal, int64_t philox_seed, int64_t philox_offset) { |
| 17032 | return at::_ops::_flash_attention_backward::redispatch(dispatchKeySet, grad_out, query, key, value, out, logsumexp, cum_seq_q, cum_seq_k, max_q, max_k, dropout_p, is_causal, philox_seed, philox_offset); |
| 17033 | } |
| 17034 | |
| 17035 | // aten::_efficient_attention_forward(Tensor query, Tensor key, Tensor value, Tensor? cu_seqlens_q, Tensor? cu_seqlens_k, int? max_seqlen_q, bool compute_log_sumexp=False, bool causal=False) -> (Tensor, Tensor) |
| 17036 | inline ::std::tuple<at::Tensor,at::Tensor> _efficient_attention_forward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & cu_seqlens_q, const c10::optional<at::Tensor> & cu_seqlens_k, c10::optional<int64_t> max_seqlen_q, bool compute_log_sumexp=false, bool causal=false) { |
| 17037 | return at::_ops::_efficient_attention_forward::redispatch(dispatchKeySet, query, key, value, cu_seqlens_q, cu_seqlens_k, max_seqlen_q, compute_log_sumexp, causal); |
| 17038 | } |
| 17039 | |
| 17040 | // aten::_efficient_attention_backward(Tensor grad_out_, Tensor query, Tensor key, Tensor value, Tensor out, Tensor logsumexp, bool is_causal=False, bool chunk_grad_outputs=False) -> (Tensor, Tensor, Tensor) |
| 17041 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _efficient_attention_backward(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out_, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const at::Tensor & out, const at::Tensor & logsumexp, bool is_causal=false, bool chunk_grad_outputs=false) { |
| 17042 | return at::_ops::_efficient_attention_backward::redispatch(dispatchKeySet, grad_out_, query, key, value, out, logsumexp, is_causal, chunk_grad_outputs); |
| 17043 | } |
| 17044 | |
| 17045 | // aten::_triton_scaled_dot_attention(Tensor q, Tensor k, Tensor v, float dropout_p=0.0) -> Tensor |
| 17046 | inline at::Tensor _triton_scaled_dot_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & q, const at::Tensor & k, const at::Tensor & v, double dropout_p=0.0) { |
| 17047 | return at::_ops::_triton_scaled_dot_attention::redispatch(dispatchKeySet, q, k, v, dropout_p); |
| 17048 | } |
| 17049 | |
| 17050 | // aten::_triton_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None) -> Tensor |
| 17051 | inline at::Tensor _triton_multi_head_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask={}) { |
| 17052 | return at::_ops::_triton_multi_head_attention::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask); |
| 17053 | } |
| 17054 | |
| 17055 | // aten::special_airy_ai(Tensor x) -> Tensor |
| 17056 | inline at::Tensor special_airy_ai(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x) { |
| 17057 | return at::_ops::special_airy_ai::redispatch(dispatchKeySet, x); |
| 17058 | } |
| 17059 | |
| 17060 | // aten::special_airy_ai.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17061 | inline at::Tensor & special_airy_ai_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x) { |
| 17062 | return at::_ops::special_airy_ai_out::redispatch(dispatchKeySet, x, out); |
| 17063 | } |
| 17064 | |
| 17065 | // aten::special_airy_ai.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17066 | inline at::Tensor & special_airy_ai_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, at::Tensor & out) { |
| 17067 | return at::_ops::special_airy_ai_out::redispatch(dispatchKeySet, x, out); |
| 17068 | } |
| 17069 | |
| 17070 | // aten::_transformer_decoder_only_layer_fwd(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None) -> (Tensor, Tensor, Tensor) |
| 17071 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _transformer_decoder_only_layer_fwd(c10::DispatchKeySet dispatchKeySet, const at::Tensor & src, int64_t embed_dim, int64_t num_heads, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, bool use_gelu, bool norm_first, double eps, const at::Tensor & norm_weight_1, const at::Tensor & norm_bias_1, const at::Tensor & norm_weight_2, const at::Tensor & norm_bias_2, const at::Tensor & ffn_weight_1, const at::Tensor & ffn_bias_1, const at::Tensor & ffn_weight_2, const at::Tensor & ffn_bias_2, const c10::optional<at::Tensor> & mask={}, const c10::optional<at::Tensor> & incr_key={}, const c10::optional<at::Tensor> & incr_value={}) { |
| 17072 | return at::_ops::_transformer_decoder_only_layer_fwd::redispatch(dispatchKeySet, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value); |
| 17073 | } |
| 17074 | |
| 17075 | // aten::_native_decoder_only_multi_head_attention(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, bool need_weights=True, bool average_attn_weights=True) -> (Tensor, Tensor, Tensor, Tensor) |
| 17076 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> _native_decoder_only_multi_head_attention(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask={}, const c10::optional<at::Tensor> & incr_key={}, const c10::optional<at::Tensor> & incr_value={}, bool need_weights=true, bool average_attn_weights=true) { |
| 17077 | return at::_ops::_native_decoder_only_multi_head_attention::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights); |
| 17078 | } |
| 17079 | |
| 17080 | // aten::special_bessel_j0(Tensor self) -> Tensor |
| 17081 | inline at::Tensor special_bessel_j0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17082 | return at::_ops::special_bessel_j0::redispatch(dispatchKeySet, self); |
| 17083 | } |
| 17084 | |
| 17085 | // aten::special_bessel_j0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17086 | inline at::Tensor & special_bessel_j0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17087 | return at::_ops::special_bessel_j0_out::redispatch(dispatchKeySet, self, out); |
| 17088 | } |
| 17089 | |
| 17090 | // aten::special_bessel_j0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17091 | inline at::Tensor & special_bessel_j0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17092 | return at::_ops::special_bessel_j0_out::redispatch(dispatchKeySet, self, out); |
| 17093 | } |
| 17094 | |
| 17095 | // aten::special_bessel_j1(Tensor self) -> Tensor |
| 17096 | inline at::Tensor special_bessel_j1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17097 | return at::_ops::special_bessel_j1::redispatch(dispatchKeySet, self); |
| 17098 | } |
| 17099 | |
| 17100 | // aten::special_bessel_j1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17101 | inline at::Tensor & special_bessel_j1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17102 | return at::_ops::special_bessel_j1_out::redispatch(dispatchKeySet, self, out); |
| 17103 | } |
| 17104 | |
| 17105 | // aten::special_bessel_j1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17106 | inline at::Tensor & special_bessel_j1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17107 | return at::_ops::special_bessel_j1_out::redispatch(dispatchKeySet, self, out); |
| 17108 | } |
| 17109 | |
| 17110 | // aten::special_bessel_y0(Tensor self) -> Tensor |
| 17111 | inline at::Tensor special_bessel_y0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17112 | return at::_ops::special_bessel_y0::redispatch(dispatchKeySet, self); |
| 17113 | } |
| 17114 | |
| 17115 | // aten::special_bessel_y0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17116 | inline at::Tensor & special_bessel_y0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17117 | return at::_ops::special_bessel_y0_out::redispatch(dispatchKeySet, self, out); |
| 17118 | } |
| 17119 | |
| 17120 | // aten::special_bessel_y0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17121 | inline at::Tensor & special_bessel_y0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17122 | return at::_ops::special_bessel_y0_out::redispatch(dispatchKeySet, self, out); |
| 17123 | } |
| 17124 | |
| 17125 | // aten::special_bessel_y1(Tensor self) -> Tensor |
| 17126 | inline at::Tensor special_bessel_y1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17127 | return at::_ops::special_bessel_y1::redispatch(dispatchKeySet, self); |
| 17128 | } |
| 17129 | |
| 17130 | // aten::special_bessel_y1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17131 | inline at::Tensor & special_bessel_y1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17132 | return at::_ops::special_bessel_y1_out::redispatch(dispatchKeySet, self, out); |
| 17133 | } |
| 17134 | |
| 17135 | // aten::special_bessel_y1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17136 | inline at::Tensor & special_bessel_y1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17137 | return at::_ops::special_bessel_y1_out::redispatch(dispatchKeySet, self, out); |
| 17138 | } |
| 17139 | |
| 17140 | // aten::special_chebyshev_polynomial_t(Tensor x, Tensor n) -> Tensor |
| 17141 | inline at::Tensor special_chebyshev_polynomial_t(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17142 | return at::_ops::special_chebyshev_polynomial_t::redispatch(dispatchKeySet, x, n); |
| 17143 | } |
| 17144 | |
| 17145 | // aten::special_chebyshev_polynomial_t.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17146 | inline at::Tensor special_chebyshev_polynomial_t(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17147 | return at::_ops::special_chebyshev_polynomial_t_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17148 | } |
| 17149 | |
| 17150 | // aten::special_chebyshev_polynomial_t.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17151 | inline at::Tensor special_chebyshev_polynomial_t(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17152 | return at::_ops::special_chebyshev_polynomial_t_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17153 | } |
| 17154 | |
| 17155 | // aten::special_chebyshev_polynomial_t.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17156 | inline at::Tensor & special_chebyshev_polynomial_t_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17157 | return at::_ops::special_chebyshev_polynomial_t_out::redispatch(dispatchKeySet, x, n, out); |
| 17158 | } |
| 17159 | |
| 17160 | // aten::special_chebyshev_polynomial_t.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17161 | inline at::Tensor & special_chebyshev_polynomial_t_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17162 | return at::_ops::special_chebyshev_polynomial_t_out::redispatch(dispatchKeySet, x, n, out); |
| 17163 | } |
| 17164 | |
| 17165 | // aten::special_chebyshev_polynomial_t.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17166 | inline at::Tensor & special_chebyshev_polynomial_t_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17167 | return at::_ops::special_chebyshev_polynomial_t_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17168 | } |
| 17169 | |
| 17170 | // aten::special_chebyshev_polynomial_t.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17171 | inline at::Tensor & special_chebyshev_polynomial_t_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17172 | return at::_ops::special_chebyshev_polynomial_t_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17173 | } |
| 17174 | |
| 17175 | // aten::special_chebyshev_polynomial_t.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17176 | inline at::Tensor & special_chebyshev_polynomial_t_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17177 | return at::_ops::special_chebyshev_polynomial_t_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17178 | } |
| 17179 | |
| 17180 | // aten::special_chebyshev_polynomial_t.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17181 | inline at::Tensor & special_chebyshev_polynomial_t_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17182 | return at::_ops::special_chebyshev_polynomial_t_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17183 | } |
| 17184 | |
| 17185 | // aten::special_chebyshev_polynomial_u(Tensor x, Tensor n) -> Tensor |
| 17186 | inline at::Tensor special_chebyshev_polynomial_u(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17187 | return at::_ops::special_chebyshev_polynomial_u::redispatch(dispatchKeySet, x, n); |
| 17188 | } |
| 17189 | |
| 17190 | // aten::special_chebyshev_polynomial_u.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17191 | inline at::Tensor special_chebyshev_polynomial_u(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17192 | return at::_ops::special_chebyshev_polynomial_u_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17193 | } |
| 17194 | |
| 17195 | // aten::special_chebyshev_polynomial_u.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17196 | inline at::Tensor special_chebyshev_polynomial_u(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17197 | return at::_ops::special_chebyshev_polynomial_u_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17198 | } |
| 17199 | |
| 17200 | // aten::special_chebyshev_polynomial_u.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17201 | inline at::Tensor & special_chebyshev_polynomial_u_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17202 | return at::_ops::special_chebyshev_polynomial_u_out::redispatch(dispatchKeySet, x, n, out); |
| 17203 | } |
| 17204 | |
| 17205 | // aten::special_chebyshev_polynomial_u.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17206 | inline at::Tensor & special_chebyshev_polynomial_u_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17207 | return at::_ops::special_chebyshev_polynomial_u_out::redispatch(dispatchKeySet, x, n, out); |
| 17208 | } |
| 17209 | |
| 17210 | // aten::special_chebyshev_polynomial_u.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17211 | inline at::Tensor & special_chebyshev_polynomial_u_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17212 | return at::_ops::special_chebyshev_polynomial_u_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17213 | } |
| 17214 | |
| 17215 | // aten::special_chebyshev_polynomial_u.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17216 | inline at::Tensor & special_chebyshev_polynomial_u_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17217 | return at::_ops::special_chebyshev_polynomial_u_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17218 | } |
| 17219 | |
| 17220 | // aten::special_chebyshev_polynomial_u.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17221 | inline at::Tensor & special_chebyshev_polynomial_u_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17222 | return at::_ops::special_chebyshev_polynomial_u_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17223 | } |
| 17224 | |
| 17225 | // aten::special_chebyshev_polynomial_u.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17226 | inline at::Tensor & special_chebyshev_polynomial_u_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17227 | return at::_ops::special_chebyshev_polynomial_u_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17228 | } |
| 17229 | |
| 17230 | // aten::special_chebyshev_polynomial_v(Tensor x, Tensor n) -> Tensor |
| 17231 | inline at::Tensor special_chebyshev_polynomial_v(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17232 | return at::_ops::special_chebyshev_polynomial_v::redispatch(dispatchKeySet, x, n); |
| 17233 | } |
| 17234 | |
| 17235 | // aten::special_chebyshev_polynomial_v.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17236 | inline at::Tensor special_chebyshev_polynomial_v(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17237 | return at::_ops::special_chebyshev_polynomial_v_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17238 | } |
| 17239 | |
| 17240 | // aten::special_chebyshev_polynomial_v.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17241 | inline at::Tensor special_chebyshev_polynomial_v(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17242 | return at::_ops::special_chebyshev_polynomial_v_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17243 | } |
| 17244 | |
| 17245 | // aten::special_chebyshev_polynomial_v.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17246 | inline at::Tensor & special_chebyshev_polynomial_v_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17247 | return at::_ops::special_chebyshev_polynomial_v_out::redispatch(dispatchKeySet, x, n, out); |
| 17248 | } |
| 17249 | |
| 17250 | // aten::special_chebyshev_polynomial_v.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17251 | inline at::Tensor & special_chebyshev_polynomial_v_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17252 | return at::_ops::special_chebyshev_polynomial_v_out::redispatch(dispatchKeySet, x, n, out); |
| 17253 | } |
| 17254 | |
| 17255 | // aten::special_chebyshev_polynomial_v.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17256 | inline at::Tensor & special_chebyshev_polynomial_v_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17257 | return at::_ops::special_chebyshev_polynomial_v_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17258 | } |
| 17259 | |
| 17260 | // aten::special_chebyshev_polynomial_v.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17261 | inline at::Tensor & special_chebyshev_polynomial_v_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17262 | return at::_ops::special_chebyshev_polynomial_v_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17263 | } |
| 17264 | |
| 17265 | // aten::special_chebyshev_polynomial_v.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17266 | inline at::Tensor & special_chebyshev_polynomial_v_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17267 | return at::_ops::special_chebyshev_polynomial_v_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17268 | } |
| 17269 | |
| 17270 | // aten::special_chebyshev_polynomial_v.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17271 | inline at::Tensor & special_chebyshev_polynomial_v_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17272 | return at::_ops::special_chebyshev_polynomial_v_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17273 | } |
| 17274 | |
| 17275 | // aten::special_chebyshev_polynomial_w(Tensor x, Tensor n) -> Tensor |
| 17276 | inline at::Tensor special_chebyshev_polynomial_w(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17277 | return at::_ops::special_chebyshev_polynomial_w::redispatch(dispatchKeySet, x, n); |
| 17278 | } |
| 17279 | |
| 17280 | // aten::special_chebyshev_polynomial_w.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17281 | inline at::Tensor special_chebyshev_polynomial_w(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17282 | return at::_ops::special_chebyshev_polynomial_w_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17283 | } |
| 17284 | |
| 17285 | // aten::special_chebyshev_polynomial_w.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17286 | inline at::Tensor special_chebyshev_polynomial_w(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17287 | return at::_ops::special_chebyshev_polynomial_w_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17288 | } |
| 17289 | |
| 17290 | // aten::special_chebyshev_polynomial_w.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17291 | inline at::Tensor & special_chebyshev_polynomial_w_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17292 | return at::_ops::special_chebyshev_polynomial_w_out::redispatch(dispatchKeySet, x, n, out); |
| 17293 | } |
| 17294 | |
| 17295 | // aten::special_chebyshev_polynomial_w.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17296 | inline at::Tensor & special_chebyshev_polynomial_w_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17297 | return at::_ops::special_chebyshev_polynomial_w_out::redispatch(dispatchKeySet, x, n, out); |
| 17298 | } |
| 17299 | |
| 17300 | // aten::special_chebyshev_polynomial_w.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17301 | inline at::Tensor & special_chebyshev_polynomial_w_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17302 | return at::_ops::special_chebyshev_polynomial_w_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17303 | } |
| 17304 | |
| 17305 | // aten::special_chebyshev_polynomial_w.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17306 | inline at::Tensor & special_chebyshev_polynomial_w_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17307 | return at::_ops::special_chebyshev_polynomial_w_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17308 | } |
| 17309 | |
| 17310 | // aten::special_chebyshev_polynomial_w.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17311 | inline at::Tensor & special_chebyshev_polynomial_w_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17312 | return at::_ops::special_chebyshev_polynomial_w_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17313 | } |
| 17314 | |
| 17315 | // aten::special_chebyshev_polynomial_w.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17316 | inline at::Tensor & special_chebyshev_polynomial_w_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17317 | return at::_ops::special_chebyshev_polynomial_w_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17318 | } |
| 17319 | |
| 17320 | // aten::special_hermite_polynomial_h(Tensor x, Tensor n) -> Tensor |
| 17321 | inline at::Tensor special_hermite_polynomial_h(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17322 | return at::_ops::special_hermite_polynomial_h::redispatch(dispatchKeySet, x, n); |
| 17323 | } |
| 17324 | |
| 17325 | // aten::special_hermite_polynomial_h.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17326 | inline at::Tensor special_hermite_polynomial_h(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17327 | return at::_ops::special_hermite_polynomial_h_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17328 | } |
| 17329 | |
| 17330 | // aten::special_hermite_polynomial_h.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17331 | inline at::Tensor special_hermite_polynomial_h(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17332 | return at::_ops::special_hermite_polynomial_h_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17333 | } |
| 17334 | |
| 17335 | // aten::special_hermite_polynomial_h.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17336 | inline at::Tensor & special_hermite_polynomial_h_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17337 | return at::_ops::special_hermite_polynomial_h_out::redispatch(dispatchKeySet, x, n, out); |
| 17338 | } |
| 17339 | |
| 17340 | // aten::special_hermite_polynomial_h.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17341 | inline at::Tensor & special_hermite_polynomial_h_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17342 | return at::_ops::special_hermite_polynomial_h_out::redispatch(dispatchKeySet, x, n, out); |
| 17343 | } |
| 17344 | |
| 17345 | // aten::special_hermite_polynomial_h.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17346 | inline at::Tensor & special_hermite_polynomial_h_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17347 | return at::_ops::special_hermite_polynomial_h_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17348 | } |
| 17349 | |
| 17350 | // aten::special_hermite_polynomial_h.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17351 | inline at::Tensor & special_hermite_polynomial_h_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17352 | return at::_ops::special_hermite_polynomial_h_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17353 | } |
| 17354 | |
| 17355 | // aten::special_hermite_polynomial_h.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17356 | inline at::Tensor & special_hermite_polynomial_h_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17357 | return at::_ops::special_hermite_polynomial_h_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17358 | } |
| 17359 | |
| 17360 | // aten::special_hermite_polynomial_h.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17361 | inline at::Tensor & special_hermite_polynomial_h_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17362 | return at::_ops::special_hermite_polynomial_h_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17363 | } |
| 17364 | |
| 17365 | // aten::special_hermite_polynomial_he(Tensor x, Tensor n) -> Tensor |
| 17366 | inline at::Tensor special_hermite_polynomial_he(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17367 | return at::_ops::special_hermite_polynomial_he::redispatch(dispatchKeySet, x, n); |
| 17368 | } |
| 17369 | |
| 17370 | // aten::special_hermite_polynomial_he.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17371 | inline at::Tensor special_hermite_polynomial_he(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17372 | return at::_ops::special_hermite_polynomial_he_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17373 | } |
| 17374 | |
| 17375 | // aten::special_hermite_polynomial_he.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17376 | inline at::Tensor special_hermite_polynomial_he(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17377 | return at::_ops::special_hermite_polynomial_he_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17378 | } |
| 17379 | |
| 17380 | // aten::special_hermite_polynomial_he.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17381 | inline at::Tensor & special_hermite_polynomial_he_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17382 | return at::_ops::special_hermite_polynomial_he_out::redispatch(dispatchKeySet, x, n, out); |
| 17383 | } |
| 17384 | |
| 17385 | // aten::special_hermite_polynomial_he.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17386 | inline at::Tensor & special_hermite_polynomial_he_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17387 | return at::_ops::special_hermite_polynomial_he_out::redispatch(dispatchKeySet, x, n, out); |
| 17388 | } |
| 17389 | |
| 17390 | // aten::special_hermite_polynomial_he.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17391 | inline at::Tensor & special_hermite_polynomial_he_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17392 | return at::_ops::special_hermite_polynomial_he_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17393 | } |
| 17394 | |
| 17395 | // aten::special_hermite_polynomial_he.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17396 | inline at::Tensor & special_hermite_polynomial_he_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17397 | return at::_ops::special_hermite_polynomial_he_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17398 | } |
| 17399 | |
| 17400 | // aten::special_hermite_polynomial_he.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17401 | inline at::Tensor & special_hermite_polynomial_he_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17402 | return at::_ops::special_hermite_polynomial_he_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17403 | } |
| 17404 | |
| 17405 | // aten::special_hermite_polynomial_he.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17406 | inline at::Tensor & special_hermite_polynomial_he_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17407 | return at::_ops::special_hermite_polynomial_he_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17408 | } |
| 17409 | |
| 17410 | // aten::special_laguerre_polynomial_l(Tensor x, Tensor n) -> Tensor |
| 17411 | inline at::Tensor special_laguerre_polynomial_l(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17412 | return at::_ops::special_laguerre_polynomial_l::redispatch(dispatchKeySet, x, n); |
| 17413 | } |
| 17414 | |
| 17415 | // aten::special_laguerre_polynomial_l.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17416 | inline at::Tensor special_laguerre_polynomial_l(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17417 | return at::_ops::special_laguerre_polynomial_l_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17418 | } |
| 17419 | |
| 17420 | // aten::special_laguerre_polynomial_l.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17421 | inline at::Tensor special_laguerre_polynomial_l(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17422 | return at::_ops::special_laguerre_polynomial_l_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17423 | } |
| 17424 | |
| 17425 | // aten::special_laguerre_polynomial_l.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17426 | inline at::Tensor & special_laguerre_polynomial_l_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17427 | return at::_ops::special_laguerre_polynomial_l_out::redispatch(dispatchKeySet, x, n, out); |
| 17428 | } |
| 17429 | |
| 17430 | // aten::special_laguerre_polynomial_l.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17431 | inline at::Tensor & special_laguerre_polynomial_l_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17432 | return at::_ops::special_laguerre_polynomial_l_out::redispatch(dispatchKeySet, x, n, out); |
| 17433 | } |
| 17434 | |
| 17435 | // aten::special_laguerre_polynomial_l.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17436 | inline at::Tensor & special_laguerre_polynomial_l_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17437 | return at::_ops::special_laguerre_polynomial_l_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17438 | } |
| 17439 | |
| 17440 | // aten::special_laguerre_polynomial_l.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17441 | inline at::Tensor & special_laguerre_polynomial_l_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17442 | return at::_ops::special_laguerre_polynomial_l_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17443 | } |
| 17444 | |
| 17445 | // aten::special_laguerre_polynomial_l.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17446 | inline at::Tensor & special_laguerre_polynomial_l_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17447 | return at::_ops::special_laguerre_polynomial_l_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17448 | } |
| 17449 | |
| 17450 | // aten::special_laguerre_polynomial_l.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17451 | inline at::Tensor & special_laguerre_polynomial_l_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17452 | return at::_ops::special_laguerre_polynomial_l_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17453 | } |
| 17454 | |
| 17455 | // aten::special_legendre_polynomial_p(Tensor x, Tensor n) -> Tensor |
| 17456 | inline at::Tensor special_legendre_polynomial_p(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17457 | return at::_ops::special_legendre_polynomial_p::redispatch(dispatchKeySet, x, n); |
| 17458 | } |
| 17459 | |
| 17460 | // aten::special_legendre_polynomial_p.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17461 | inline at::Tensor special_legendre_polynomial_p(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17462 | return at::_ops::special_legendre_polynomial_p_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17463 | } |
| 17464 | |
| 17465 | // aten::special_legendre_polynomial_p.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17466 | inline at::Tensor special_legendre_polynomial_p(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17467 | return at::_ops::special_legendre_polynomial_p_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17468 | } |
| 17469 | |
| 17470 | // aten::special_legendre_polynomial_p.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17471 | inline at::Tensor & special_legendre_polynomial_p_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17472 | return at::_ops::special_legendre_polynomial_p_out::redispatch(dispatchKeySet, x, n, out); |
| 17473 | } |
| 17474 | |
| 17475 | // aten::special_legendre_polynomial_p.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17476 | inline at::Tensor & special_legendre_polynomial_p_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17477 | return at::_ops::special_legendre_polynomial_p_out::redispatch(dispatchKeySet, x, n, out); |
| 17478 | } |
| 17479 | |
| 17480 | // aten::special_legendre_polynomial_p.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17481 | inline at::Tensor & special_legendre_polynomial_p_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17482 | return at::_ops::special_legendre_polynomial_p_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17483 | } |
| 17484 | |
| 17485 | // aten::special_legendre_polynomial_p.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17486 | inline at::Tensor & special_legendre_polynomial_p_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17487 | return at::_ops::special_legendre_polynomial_p_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17488 | } |
| 17489 | |
| 17490 | // aten::special_legendre_polynomial_p.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17491 | inline at::Tensor & special_legendre_polynomial_p_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17492 | return at::_ops::special_legendre_polynomial_p_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17493 | } |
| 17494 | |
| 17495 | // aten::special_legendre_polynomial_p.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17496 | inline at::Tensor & special_legendre_polynomial_p_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17497 | return at::_ops::special_legendre_polynomial_p_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17498 | } |
| 17499 | |
| 17500 | // aten::special_modified_bessel_i0(Tensor self) -> Tensor |
| 17501 | inline at::Tensor special_modified_bessel_i0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17502 | return at::_ops::special_modified_bessel_i0::redispatch(dispatchKeySet, self); |
| 17503 | } |
| 17504 | |
| 17505 | // aten::special_modified_bessel_i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17506 | inline at::Tensor & special_modified_bessel_i0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17507 | return at::_ops::special_modified_bessel_i0_out::redispatch(dispatchKeySet, self, out); |
| 17508 | } |
| 17509 | |
| 17510 | // aten::special_modified_bessel_i0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17511 | inline at::Tensor & special_modified_bessel_i0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17512 | return at::_ops::special_modified_bessel_i0_out::redispatch(dispatchKeySet, self, out); |
| 17513 | } |
| 17514 | |
| 17515 | // aten::special_modified_bessel_i1(Tensor self) -> Tensor |
| 17516 | inline at::Tensor special_modified_bessel_i1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17517 | return at::_ops::special_modified_bessel_i1::redispatch(dispatchKeySet, self); |
| 17518 | } |
| 17519 | |
| 17520 | // aten::special_modified_bessel_i1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17521 | inline at::Tensor & special_modified_bessel_i1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17522 | return at::_ops::special_modified_bessel_i1_out::redispatch(dispatchKeySet, self, out); |
| 17523 | } |
| 17524 | |
| 17525 | // aten::special_modified_bessel_i1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17526 | inline at::Tensor & special_modified_bessel_i1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17527 | return at::_ops::special_modified_bessel_i1_out::redispatch(dispatchKeySet, self, out); |
| 17528 | } |
| 17529 | |
| 17530 | // aten::special_modified_bessel_k0(Tensor self) -> Tensor |
| 17531 | inline at::Tensor special_modified_bessel_k0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17532 | return at::_ops::special_modified_bessel_k0::redispatch(dispatchKeySet, self); |
| 17533 | } |
| 17534 | |
| 17535 | // aten::special_modified_bessel_k0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17536 | inline at::Tensor & special_modified_bessel_k0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17537 | return at::_ops::special_modified_bessel_k0_out::redispatch(dispatchKeySet, self, out); |
| 17538 | } |
| 17539 | |
| 17540 | // aten::special_modified_bessel_k0.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17541 | inline at::Tensor & special_modified_bessel_k0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17542 | return at::_ops::special_modified_bessel_k0_out::redispatch(dispatchKeySet, self, out); |
| 17543 | } |
| 17544 | |
| 17545 | // aten::special_modified_bessel_k1(Tensor self) -> Tensor |
| 17546 | inline at::Tensor special_modified_bessel_k1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 17547 | return at::_ops::special_modified_bessel_k1::redispatch(dispatchKeySet, self); |
| 17548 | } |
| 17549 | |
| 17550 | // aten::special_modified_bessel_k1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17551 | inline at::Tensor & special_modified_bessel_k1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17552 | return at::_ops::special_modified_bessel_k1_out::redispatch(dispatchKeySet, self, out); |
| 17553 | } |
| 17554 | |
| 17555 | // aten::special_modified_bessel_k1.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17556 | inline at::Tensor & special_modified_bessel_k1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17557 | return at::_ops::special_modified_bessel_k1_out::redispatch(dispatchKeySet, self, out); |
| 17558 | } |
| 17559 | |
| 17560 | // aten::special_scaled_modified_bessel_k0(Tensor x) -> Tensor |
| 17561 | inline at::Tensor special_scaled_modified_bessel_k0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x) { |
| 17562 | return at::_ops::special_scaled_modified_bessel_k0::redispatch(dispatchKeySet, x); |
| 17563 | } |
| 17564 | |
| 17565 | // aten::special_scaled_modified_bessel_k0.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17566 | inline at::Tensor & special_scaled_modified_bessel_k0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x) { |
| 17567 | return at::_ops::special_scaled_modified_bessel_k0_out::redispatch(dispatchKeySet, x, out); |
| 17568 | } |
| 17569 | |
| 17570 | // aten::special_scaled_modified_bessel_k0.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17571 | inline at::Tensor & special_scaled_modified_bessel_k0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, at::Tensor & out) { |
| 17572 | return at::_ops::special_scaled_modified_bessel_k0_out::redispatch(dispatchKeySet, x, out); |
| 17573 | } |
| 17574 | |
| 17575 | // aten::special_scaled_modified_bessel_k1(Tensor x) -> Tensor |
| 17576 | inline at::Tensor special_scaled_modified_bessel_k1(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x) { |
| 17577 | return at::_ops::special_scaled_modified_bessel_k1::redispatch(dispatchKeySet, x); |
| 17578 | } |
| 17579 | |
| 17580 | // aten::special_scaled_modified_bessel_k1.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17581 | inline at::Tensor & special_scaled_modified_bessel_k1_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x) { |
| 17582 | return at::_ops::special_scaled_modified_bessel_k1_out::redispatch(dispatchKeySet, x, out); |
| 17583 | } |
| 17584 | |
| 17585 | // aten::special_scaled_modified_bessel_k1.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17586 | inline at::Tensor & special_scaled_modified_bessel_k1_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, at::Tensor & out) { |
| 17587 | return at::_ops::special_scaled_modified_bessel_k1_out::redispatch(dispatchKeySet, x, out); |
| 17588 | } |
| 17589 | |
| 17590 | // aten::special_shifted_chebyshev_polynomial_t(Tensor x, Tensor n) -> Tensor |
| 17591 | inline at::Tensor special_shifted_chebyshev_polynomial_t(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17592 | return at::_ops::special_shifted_chebyshev_polynomial_t::redispatch(dispatchKeySet, x, n); |
| 17593 | } |
| 17594 | |
| 17595 | // aten::special_shifted_chebyshev_polynomial_t.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17596 | inline at::Tensor special_shifted_chebyshev_polynomial_t(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17597 | return at::_ops::special_shifted_chebyshev_polynomial_t_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17598 | } |
| 17599 | |
| 17600 | // aten::special_shifted_chebyshev_polynomial_t.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17601 | inline at::Tensor special_shifted_chebyshev_polynomial_t(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17602 | return at::_ops::special_shifted_chebyshev_polynomial_t_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17603 | } |
| 17604 | |
| 17605 | // aten::special_shifted_chebyshev_polynomial_t.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17606 | inline at::Tensor & special_shifted_chebyshev_polynomial_t_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17607 | return at::_ops::special_shifted_chebyshev_polynomial_t_out::redispatch(dispatchKeySet, x, n, out); |
| 17608 | } |
| 17609 | |
| 17610 | // aten::special_shifted_chebyshev_polynomial_t.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17611 | inline at::Tensor & special_shifted_chebyshev_polynomial_t_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17612 | return at::_ops::special_shifted_chebyshev_polynomial_t_out::redispatch(dispatchKeySet, x, n, out); |
| 17613 | } |
| 17614 | |
| 17615 | // aten::special_shifted_chebyshev_polynomial_t.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17616 | inline at::Tensor & special_shifted_chebyshev_polynomial_t_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17617 | return at::_ops::special_shifted_chebyshev_polynomial_t_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17618 | } |
| 17619 | |
| 17620 | // aten::special_shifted_chebyshev_polynomial_t.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17621 | inline at::Tensor & special_shifted_chebyshev_polynomial_t_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17622 | return at::_ops::special_shifted_chebyshev_polynomial_t_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17623 | } |
| 17624 | |
| 17625 | // aten::special_shifted_chebyshev_polynomial_t.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17626 | inline at::Tensor & special_shifted_chebyshev_polynomial_t_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17627 | return at::_ops::special_shifted_chebyshev_polynomial_t_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17628 | } |
| 17629 | |
| 17630 | // aten::special_shifted_chebyshev_polynomial_t.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17631 | inline at::Tensor & special_shifted_chebyshev_polynomial_t_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17632 | return at::_ops::special_shifted_chebyshev_polynomial_t_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17633 | } |
| 17634 | |
| 17635 | // aten::special_shifted_chebyshev_polynomial_u(Tensor x, Tensor n) -> Tensor |
| 17636 | inline at::Tensor special_shifted_chebyshev_polynomial_u(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17637 | return at::_ops::special_shifted_chebyshev_polynomial_u::redispatch(dispatchKeySet, x, n); |
| 17638 | } |
| 17639 | |
| 17640 | // aten::special_shifted_chebyshev_polynomial_u.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17641 | inline at::Tensor special_shifted_chebyshev_polynomial_u(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17642 | return at::_ops::special_shifted_chebyshev_polynomial_u_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17643 | } |
| 17644 | |
| 17645 | // aten::special_shifted_chebyshev_polynomial_u.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17646 | inline at::Tensor special_shifted_chebyshev_polynomial_u(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17647 | return at::_ops::special_shifted_chebyshev_polynomial_u_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17648 | } |
| 17649 | |
| 17650 | // aten::special_shifted_chebyshev_polynomial_u.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17651 | inline at::Tensor & special_shifted_chebyshev_polynomial_u_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17652 | return at::_ops::special_shifted_chebyshev_polynomial_u_out::redispatch(dispatchKeySet, x, n, out); |
| 17653 | } |
| 17654 | |
| 17655 | // aten::special_shifted_chebyshev_polynomial_u.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17656 | inline at::Tensor & special_shifted_chebyshev_polynomial_u_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17657 | return at::_ops::special_shifted_chebyshev_polynomial_u_out::redispatch(dispatchKeySet, x, n, out); |
| 17658 | } |
| 17659 | |
| 17660 | // aten::special_shifted_chebyshev_polynomial_u.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17661 | inline at::Tensor & special_shifted_chebyshev_polynomial_u_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17662 | return at::_ops::special_shifted_chebyshev_polynomial_u_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17663 | } |
| 17664 | |
| 17665 | // aten::special_shifted_chebyshev_polynomial_u.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17666 | inline at::Tensor & special_shifted_chebyshev_polynomial_u_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17667 | return at::_ops::special_shifted_chebyshev_polynomial_u_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17668 | } |
| 17669 | |
| 17670 | // aten::special_shifted_chebyshev_polynomial_u.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17671 | inline at::Tensor & special_shifted_chebyshev_polynomial_u_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17672 | return at::_ops::special_shifted_chebyshev_polynomial_u_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17673 | } |
| 17674 | |
| 17675 | // aten::special_shifted_chebyshev_polynomial_u.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17676 | inline at::Tensor & special_shifted_chebyshev_polynomial_u_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17677 | return at::_ops::special_shifted_chebyshev_polynomial_u_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17678 | } |
| 17679 | |
| 17680 | // aten::special_shifted_chebyshev_polynomial_v(Tensor x, Tensor n) -> Tensor |
| 17681 | inline at::Tensor special_shifted_chebyshev_polynomial_v(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17682 | return at::_ops::special_shifted_chebyshev_polynomial_v::redispatch(dispatchKeySet, x, n); |
| 17683 | } |
| 17684 | |
| 17685 | // aten::special_shifted_chebyshev_polynomial_v.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17686 | inline at::Tensor special_shifted_chebyshev_polynomial_v(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17687 | return at::_ops::special_shifted_chebyshev_polynomial_v_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17688 | } |
| 17689 | |
| 17690 | // aten::special_shifted_chebyshev_polynomial_v.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17691 | inline at::Tensor special_shifted_chebyshev_polynomial_v(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17692 | return at::_ops::special_shifted_chebyshev_polynomial_v_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17693 | } |
| 17694 | |
| 17695 | // aten::special_shifted_chebyshev_polynomial_v.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17696 | inline at::Tensor & special_shifted_chebyshev_polynomial_v_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17697 | return at::_ops::special_shifted_chebyshev_polynomial_v_out::redispatch(dispatchKeySet, x, n, out); |
| 17698 | } |
| 17699 | |
| 17700 | // aten::special_shifted_chebyshev_polynomial_v.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17701 | inline at::Tensor & special_shifted_chebyshev_polynomial_v_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17702 | return at::_ops::special_shifted_chebyshev_polynomial_v_out::redispatch(dispatchKeySet, x, n, out); |
| 17703 | } |
| 17704 | |
| 17705 | // aten::special_shifted_chebyshev_polynomial_v.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17706 | inline at::Tensor & special_shifted_chebyshev_polynomial_v_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17707 | return at::_ops::special_shifted_chebyshev_polynomial_v_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17708 | } |
| 17709 | |
| 17710 | // aten::special_shifted_chebyshev_polynomial_v.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17711 | inline at::Tensor & special_shifted_chebyshev_polynomial_v_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17712 | return at::_ops::special_shifted_chebyshev_polynomial_v_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17713 | } |
| 17714 | |
| 17715 | // aten::special_shifted_chebyshev_polynomial_v.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17716 | inline at::Tensor & special_shifted_chebyshev_polynomial_v_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17717 | return at::_ops::special_shifted_chebyshev_polynomial_v_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17718 | } |
| 17719 | |
| 17720 | // aten::special_shifted_chebyshev_polynomial_v.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17721 | inline at::Tensor & special_shifted_chebyshev_polynomial_v_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17722 | return at::_ops::special_shifted_chebyshev_polynomial_v_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17723 | } |
| 17724 | |
| 17725 | // aten::special_shifted_chebyshev_polynomial_w(Tensor x, Tensor n) -> Tensor |
| 17726 | inline at::Tensor special_shifted_chebyshev_polynomial_w(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n) { |
| 17727 | return at::_ops::special_shifted_chebyshev_polynomial_w::redispatch(dispatchKeySet, x, n); |
| 17728 | } |
| 17729 | |
| 17730 | // aten::special_shifted_chebyshev_polynomial_w.x_scalar(Scalar x, Tensor n) -> Tensor |
| 17731 | inline at::Tensor special_shifted_chebyshev_polynomial_w(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n) { |
| 17732 | return at::_ops::special_shifted_chebyshev_polynomial_w_x_scalar::redispatch(dispatchKeySet, x, n); |
| 17733 | } |
| 17734 | |
| 17735 | // aten::special_shifted_chebyshev_polynomial_w.n_scalar(Tensor x, Scalar n) -> Tensor |
| 17736 | inline at::Tensor special_shifted_chebyshev_polynomial_w(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n) { |
| 17737 | return at::_ops::special_shifted_chebyshev_polynomial_w_n_scalar::redispatch(dispatchKeySet, x, n); |
| 17738 | } |
| 17739 | |
| 17740 | // aten::special_shifted_chebyshev_polynomial_w.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17741 | inline at::Tensor & special_shifted_chebyshev_polynomial_w_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & n) { |
| 17742 | return at::_ops::special_shifted_chebyshev_polynomial_w_out::redispatch(dispatchKeySet, x, n, out); |
| 17743 | } |
| 17744 | |
| 17745 | // aten::special_shifted_chebyshev_polynomial_w.out(Tensor x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17746 | inline at::Tensor & special_shifted_chebyshev_polynomial_w_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & n, at::Tensor & out) { |
| 17747 | return at::_ops::special_shifted_chebyshev_polynomial_w_out::redispatch(dispatchKeySet, x, n, out); |
| 17748 | } |
| 17749 | |
| 17750 | // aten::special_shifted_chebyshev_polynomial_w.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17751 | inline at::Tensor & special_shifted_chebyshev_polynomial_w_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 17752 | return at::_ops::special_shifted_chebyshev_polynomial_w_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17753 | } |
| 17754 | |
| 17755 | // aten::special_shifted_chebyshev_polynomial_w.x_scalar_out(Scalar x, Tensor n, *, Tensor(a!) out) -> Tensor(a!) |
| 17756 | inline at::Tensor & special_shifted_chebyshev_polynomial_w_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 17757 | return at::_ops::special_shifted_chebyshev_polynomial_w_x_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17758 | } |
| 17759 | |
| 17760 | // aten::special_shifted_chebyshev_polynomial_w.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17761 | inline at::Tensor & special_shifted_chebyshev_polynomial_w_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Scalar & n) { |
| 17762 | return at::_ops::special_shifted_chebyshev_polynomial_w_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17763 | } |
| 17764 | |
| 17765 | // aten::special_shifted_chebyshev_polynomial_w.n_scalar_out(Tensor x, Scalar n, *, Tensor(a!) out) -> Tensor(a!) |
| 17766 | inline at::Tensor & special_shifted_chebyshev_polynomial_w_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Scalar & n, at::Tensor & out) { |
| 17767 | return at::_ops::special_shifted_chebyshev_polynomial_w_n_scalar_out::redispatch(dispatchKeySet, x, n, out); |
| 17768 | } |
| 17769 | |
| 17770 | // aten::special_spherical_bessel_j0(Tensor x) -> Tensor |
| 17771 | inline at::Tensor special_spherical_bessel_j0(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x) { |
| 17772 | return at::_ops::special_spherical_bessel_j0::redispatch(dispatchKeySet, x); |
| 17773 | } |
| 17774 | |
| 17775 | // aten::special_spherical_bessel_j0.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17776 | inline at::Tensor & special_spherical_bessel_j0_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x) { |
| 17777 | return at::_ops::special_spherical_bessel_j0_out::redispatch(dispatchKeySet, x, out); |
| 17778 | } |
| 17779 | |
| 17780 | // aten::special_spherical_bessel_j0.out(Tensor x, *, Tensor(a!) out) -> Tensor(a!) |
| 17781 | inline at::Tensor & special_spherical_bessel_j0_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, at::Tensor & out) { |
| 17782 | return at::_ops::special_spherical_bessel_j0_out::redispatch(dispatchKeySet, x, out); |
| 17783 | } |
| 17784 | |
| 17785 | // aten::_foobar(Tensor self, bool arg1=True, bool arg2=True, *, bool arg3=True) -> Tensor |
| 17786 | inline at::Tensor _foobar(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool arg1=true, bool arg2=true, bool arg3=true) { |
| 17787 | return at::_ops::_foobar::redispatch(dispatchKeySet, self, arg1, arg2, arg3); |
| 17788 | } |
| 17789 | |
| 17790 | // aten::_fused_adam_(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> () |
| 17791 | inline void _fused_adam_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale={}, const c10::optional<at::Tensor> & found_inf={}) { |
| 17792 | return at::_ops::_fused_adam_::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); |
| 17793 | } |
| 17794 | |
| 17795 | // aten::_fused_adamw_(Tensor(a!)[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> () |
| 17796 | inline void _fused_adamw_(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale={}, const c10::optional<at::Tensor> & found_inf={}) { |
| 17797 | return at::_ops::_fused_adamw_::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); |
| 17798 | } |
| 17799 | |
| 17800 | // aten::_new_zeros_with_same_feature_meta.out(Tensor self, Tensor other, *, int self_num_batch_dims=0, Tensor(a!) out) -> Tensor(a!) |
| 17801 | inline at::Tensor & _new_zeros_with_same_feature_meta_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, int64_t self_num_batch_dims=0) { |
| 17802 | return at::_ops::_new_zeros_with_same_feature_meta_out::redispatch(dispatchKeySet, self, other, self_num_batch_dims, out); |
| 17803 | } |
| 17804 | |
| 17805 | // aten::_new_zeros_with_same_feature_meta.out(Tensor self, Tensor other, *, int self_num_batch_dims=0, Tensor(a!) out) -> Tensor(a!) |
| 17806 | inline at::Tensor & _new_zeros_with_same_feature_meta_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, int64_t self_num_batch_dims, at::Tensor & out) { |
| 17807 | return at::_ops::_new_zeros_with_same_feature_meta_out::redispatch(dispatchKeySet, self, other, self_num_batch_dims, out); |
| 17808 | } |
| 17809 | |
| 17810 | // aten::_cudnn_ctc_loss.out(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank, bool deterministic, bool zero_infinity, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 17811 | inline ::std::tuple<at::Tensor &,at::Tensor &> _cudnn_ctc_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank, bool deterministic, bool zero_infinity) { |
| 17812 | return at::_ops::_cudnn_ctc_loss_out::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, deterministic, zero_infinity, out0, out1); |
| 17813 | } |
| 17814 | |
| 17815 | // aten::_cudnn_ctc_loss.out(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank, bool deterministic, bool zero_infinity, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 17816 | inline ::std::tuple<at::Tensor &,at::Tensor &> _cudnn_ctc_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank, bool deterministic, bool zero_infinity, at::Tensor & out0, at::Tensor & out1) { |
| 17817 | return at::_ops::_cudnn_ctc_loss_out::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, deterministic, zero_infinity, out0, out1); |
| 17818 | } |
| 17819 | |
| 17820 | // aten::_cudnn_rnn_flatten_weight.out(Tensor[] weight_arr, int weight_stride0, SymInt input_size, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, bool bidirectional, *, Tensor(a!) out) -> Tensor(a!) |
| 17821 | inline at::Tensor & _cudnn_rnn_flatten_weight_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList weight_arr, int64_t weight_stride0, int64_t input_size, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, bool bidirectional) { |
| 17822 | return at::_ops::_cudnn_rnn_flatten_weight_out::redispatch(dispatchKeySet, weight_arr, weight_stride0, input_size, mode, hidden_size, proj_size, num_layers, batch_first, bidirectional, out); |
| 17823 | } |
| 17824 | |
| 17825 | // aten::_cudnn_rnn_flatten_weight.out(Tensor[] weight_arr, int weight_stride0, SymInt input_size, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, bool bidirectional, *, Tensor(a!) out) -> Tensor(a!) |
| 17826 | inline at::Tensor & _cudnn_rnn_flatten_weight_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList weight_arr, int64_t weight_stride0, int64_t input_size, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, bool bidirectional, at::Tensor & out) { |
| 17827 | return at::_ops::_cudnn_rnn_flatten_weight_out::redispatch(dispatchKeySet, weight_arr, weight_stride0, input_size, mode, hidden_size, proj_size, num_layers, batch_first, bidirectional, out); |
| 17828 | } |
| 17829 | |
| 17830 | // aten::_cudnn_rnn_flatten_weight.out(Tensor[] weight_arr, int weight_stride0, SymInt input_size, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, bool bidirectional, *, Tensor(a!) out) -> Tensor(a!) |
| 17831 | inline at::Tensor & _cudnn_rnn_flatten_weight_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList weight_arr, int64_t weight_stride0, c10::SymInt input_size, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, bool bidirectional) { |
| 17832 | return at::_ops::_cudnn_rnn_flatten_weight_out::redispatch(dispatchKeySet, weight_arr, weight_stride0, input_size, mode, hidden_size, proj_size, num_layers, batch_first, bidirectional, out); |
| 17833 | } |
| 17834 | |
| 17835 | // aten::_cudnn_rnn_flatten_weight.out(Tensor[] weight_arr, int weight_stride0, SymInt input_size, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, bool bidirectional, *, Tensor(a!) out) -> Tensor(a!) |
| 17836 | inline at::Tensor & _cudnn_rnn_flatten_weight_symint_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList weight_arr, int64_t weight_stride0, c10::SymInt input_size, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, bool bidirectional, at::Tensor & out) { |
| 17837 | return at::_ops::_cudnn_rnn_flatten_weight_out::redispatch(dispatchKeySet, weight_arr, weight_stride0, input_size, mode, hidden_size, proj_size, num_layers, batch_first, bidirectional, out); |
| 17838 | } |
| 17839 | |
| 17840 | // aten::_cudnn_rnn.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor? weight_buf, Tensor hx, Tensor? cx, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 17841 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _cudnn_rnn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const c10::optional<at::Tensor> & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) { |
| 17842 | return at::_ops::_cudnn_rnn_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, c10::fromIntArrayRefSlow(batch_sizes), dropout_state, out0, out1, out2, out3, out4); |
| 17843 | } |
| 17844 | |
| 17845 | // aten::_cudnn_rnn.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor? weight_buf, Tensor hx, Tensor? cx, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 17846 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _cudnn_rnn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const c10::optional<at::Tensor> & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4) { |
| 17847 | return at::_ops::_cudnn_rnn_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, c10::fromIntArrayRefSlow(batch_sizes), dropout_state, out0, out1, out2, out3, out4); |
| 17848 | } |
| 17849 | |
| 17850 | // aten::_cudnn_rnn.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor? weight_buf, Tensor hx, Tensor? cx, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 17851 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _cudnn_rnn_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const c10::optional<at::Tensor> & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, c10::SymIntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) { |
| 17852 | return at::_ops::_cudnn_rnn_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, out0, out1, out2, out3, out4); |
| 17853 | } |
| 17854 | |
| 17855 | // aten::_cudnn_rnn.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor? weight_buf, Tensor hx, Tensor? cx, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 17856 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _cudnn_rnn_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const c10::optional<at::Tensor> & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, c10::SymIntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4) { |
| 17857 | return at::_ops::_cudnn_rnn_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, out0, out1, out2, out3, out4); |
| 17858 | } |
| 17859 | |
| 17860 | // aten::_cudnn_rnn_backward.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!)[] out3) -> () |
| 17861 | inline void _cudnn_rnn_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::TensorList out3, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) { |
| 17862 | return at::_ops::_cudnn_rnn_backward_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, c10::fromIntArrayRefSlow(batch_sizes), dropout_state, reserve, output_mask, out0, out1, out2, out3); |
| 17863 | } |
| 17864 | |
| 17865 | // aten::_cudnn_rnn_backward.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!)[] out3) -> () |
| 17866 | inline void _cudnn_rnn_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::TensorList out3) { |
| 17867 | return at::_ops::_cudnn_rnn_backward_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, c10::fromIntArrayRefSlow(batch_sizes), dropout_state, reserve, output_mask, out0, out1, out2, out3); |
| 17868 | } |
| 17869 | |
| 17870 | // aten::_cudnn_rnn_backward.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!)[] out3) -> () |
| 17871 | inline void _cudnn_rnn_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::TensorList out3, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, c10::SymIntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) { |
| 17872 | return at::_ops::_cudnn_rnn_backward_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask, out0, out1, out2, out3); |
| 17873 | } |
| 17874 | |
| 17875 | // aten::_cudnn_rnn_backward.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, SymInt hidden_size, SymInt proj_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, SymInt[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!)[] out3) -> () |
| 17876 | inline void _cudnn_rnn_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, c10::SymInt hidden_size, c10::SymInt proj_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, c10::SymIntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::TensorList out3) { |
| 17877 | return at::_ops::_cudnn_rnn_backward_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, proj_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask, out0, out1, out2, out3); |
| 17878 | } |
| 17879 | |
| 17880 | // aten::_cudnn_init_dropout_state.out(float dropout, bool train, int dropout_seed, *, Tensor(a!) out) -> Tensor(a!) |
| 17881 | inline at::Tensor & _cudnn_init_dropout_state_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, double dropout, bool train, int64_t dropout_seed) { |
| 17882 | return at::_ops::_cudnn_init_dropout_state_out::redispatch(dispatchKeySet, dropout, train, dropout_seed, out); |
| 17883 | } |
| 17884 | |
| 17885 | // aten::_cudnn_init_dropout_state.out(float dropout, bool train, int dropout_seed, *, Tensor(a!) out) -> Tensor(a!) |
| 17886 | inline at::Tensor & _cudnn_init_dropout_state_outf(c10::DispatchKeySet dispatchKeySet, double dropout, bool train, int64_t dropout_seed, at::Tensor & out) { |
| 17887 | return at::_ops::_cudnn_init_dropout_state_out::redispatch(dispatchKeySet, dropout, train, dropout_seed, out); |
| 17888 | } |
| 17889 | |
| 17890 | // aten::_fused_dropout.out(Tensor self, float p, Generator? generator=None, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 17891 | inline ::std::tuple<at::Tensor &,at::Tensor &> _fused_dropout_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 17892 | return at::_ops::_fused_dropout_out::redispatch(dispatchKeySet, self, p, generator, out0, out1); |
| 17893 | } |
| 17894 | |
| 17895 | // aten::_fused_dropout.out(Tensor self, float p, Generator? generator=None, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 17896 | inline ::std::tuple<at::Tensor &,at::Tensor &> _fused_dropout_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator, at::Tensor & out0, at::Tensor & out1) { |
| 17897 | return at::_ops::_fused_dropout_out::redispatch(dispatchKeySet, self, p, generator, out0, out1); |
| 17898 | } |
| 17899 | |
| 17900 | // aten::_masked_scale.out(Tensor self, Tensor mask, float scale, *, Tensor(a!) out) -> Tensor(a!) |
| 17901 | inline at::Tensor & _masked_scale_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask, double scale) { |
| 17902 | return at::_ops::_masked_scale_out::redispatch(dispatchKeySet, self, mask, scale, out); |
| 17903 | } |
| 17904 | |
| 17905 | // aten::_masked_scale.out(Tensor self, Tensor mask, float scale, *, Tensor(a!) out) -> Tensor(a!) |
| 17906 | inline at::Tensor & _masked_scale_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, double scale, at::Tensor & out) { |
| 17907 | return at::_ops::_masked_scale_out::redispatch(dispatchKeySet, self, mask, scale, out); |
| 17908 | } |
| 17909 | |
| 17910 | // aten::native_dropout.out(Tensor input, float p, bool? train, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 17911 | inline ::std::tuple<at::Tensor &,at::Tensor &> native_dropout_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, double p, c10::optional<bool> train) { |
| 17912 | return at::_ops::native_dropout_out::redispatch(dispatchKeySet, input, p, train, out0, out1); |
| 17913 | } |
| 17914 | |
| 17915 | // aten::native_dropout.out(Tensor input, float p, bool? train, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 17916 | inline ::std::tuple<at::Tensor &,at::Tensor &> native_dropout_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, c10::optional<bool> train, at::Tensor & out0, at::Tensor & out1) { |
| 17917 | return at::_ops::native_dropout_out::redispatch(dispatchKeySet, input, p, train, out0, out1); |
| 17918 | } |
| 17919 | |
| 17920 | // aten::native_dropout_backward.out(Tensor grad_output, Tensor mask, float scale, *, Tensor(a!) out) -> Tensor(a!) |
| 17921 | inline at::Tensor & native_dropout_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & mask, double scale) { |
| 17922 | return at::_ops::native_dropout_backward_out::redispatch(dispatchKeySet, grad_output, mask, scale, out); |
| 17923 | } |
| 17924 | |
| 17925 | // aten::native_dropout_backward.out(Tensor grad_output, Tensor mask, float scale, *, Tensor(a!) out) -> Tensor(a!) |
| 17926 | inline at::Tensor & native_dropout_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & mask, double scale, at::Tensor & out) { |
| 17927 | return at::_ops::native_dropout_backward_out::redispatch(dispatchKeySet, grad_output, mask, scale, out); |
| 17928 | } |
| 17929 | |
| 17930 | // aten::_conj_physical.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17931 | inline at::Tensor & _conj_physical_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 17932 | return at::_ops::_conj_physical_out::redispatch(dispatchKeySet, self, out); |
| 17933 | } |
| 17934 | |
| 17935 | // aten::_conj_physical.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 17936 | inline at::Tensor & _conj_physical_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 17937 | return at::_ops::_conj_physical_out::redispatch(dispatchKeySet, self, out); |
| 17938 | } |
| 17939 | |
| 17940 | // aten::_add_relu.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 17941 | inline at::Tensor & _add_relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 17942 | return at::_ops::_add_relu_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 17943 | } |
| 17944 | |
| 17945 | // aten::_add_relu.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 17946 | inline at::Tensor & _add_relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha, at::Tensor & out) { |
| 17947 | return at::_ops::_add_relu_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 17948 | } |
| 17949 | |
| 17950 | // aten::add.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 17951 | inline at::Tensor & add_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 17952 | return at::_ops::add_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 17953 | } |
| 17954 | |
| 17955 | // aten::add.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 17956 | inline at::Tensor & add_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha, at::Tensor & out) { |
| 17957 | return at::_ops::add_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 17958 | } |
| 17959 | |
| 17960 | // aten::affine_grid_generator.out(Tensor theta, int[] size, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 17961 | inline at::Tensor & affine_grid_generator_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & theta, at::IntArrayRef size, bool align_corners) { |
| 17962 | return at::_ops::affine_grid_generator_out::redispatch(dispatchKeySet, theta, size, align_corners, out); |
| 17963 | } |
| 17964 | |
| 17965 | // aten::affine_grid_generator.out(Tensor theta, int[] size, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 17966 | inline at::Tensor & affine_grid_generator_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & theta, at::IntArrayRef size, bool align_corners, at::Tensor & out) { |
| 17967 | return at::_ops::affine_grid_generator_out::redispatch(dispatchKeySet, theta, size, align_corners, out); |
| 17968 | } |
| 17969 | |
| 17970 | // aten::bartlett_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 17971 | inline at::Tensor & bartlett_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length) { |
| 17972 | return at::_ops::bartlett_window_out::redispatch(dispatchKeySet, window_length, out); |
| 17973 | } |
| 17974 | |
| 17975 | // aten::bartlett_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 17976 | inline at::Tensor & bartlett_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::Tensor & out) { |
| 17977 | return at::_ops::bartlett_window_out::redispatch(dispatchKeySet, window_length, out); |
| 17978 | } |
| 17979 | |
| 17980 | // aten::bartlett_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 17981 | inline at::Tensor & bartlett_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic) { |
| 17982 | return at::_ops::bartlett_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 17983 | } |
| 17984 | |
| 17985 | // aten::bartlett_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 17986 | inline at::Tensor & bartlett_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::Tensor & out) { |
| 17987 | return at::_ops::bartlett_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 17988 | } |
| 17989 | |
| 17990 | // aten::quantized_batch_norm.out(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor var, float eps, float output_scale, int output_zero_point, *, Tensor(a!) out) -> Tensor(a!) |
| 17991 | inline at::Tensor & quantized_batch_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & var, double eps, double output_scale, int64_t output_zero_point) { |
| 17992 | return at::_ops::quantized_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, mean, var, eps, output_scale, output_zero_point, out); |
| 17993 | } |
| 17994 | |
| 17995 | // aten::quantized_batch_norm.out(Tensor input, Tensor? weight, Tensor? bias, Tensor mean, Tensor var, float eps, float output_scale, int output_zero_point, *, Tensor(a!) out) -> Tensor(a!) |
| 17996 | inline at::Tensor & quantized_batch_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & mean, const at::Tensor & var, double eps, double output_scale, int64_t output_zero_point, at::Tensor & out) { |
| 17997 | return at::_ops::quantized_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, mean, var, eps, output_scale, output_zero_point, out); |
| 17998 | } |
| 17999 | |
| 18000 | // aten::bernoulli.Tensor_out(Tensor self, Tensor p, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 18001 | inline at::Tensor & bernoulli_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 18002 | return at::_ops::bernoulli_Tensor_out::redispatch(dispatchKeySet, self, p, generator, out); |
| 18003 | } |
| 18004 | |
| 18005 | // aten::bernoulli.Tensor_out(Tensor self, Tensor p, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 18006 | inline at::Tensor & bernoulli_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & p, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 18007 | return at::_ops::bernoulli_Tensor_out::redispatch(dispatchKeySet, self, p, generator, out); |
| 18008 | } |
| 18009 | |
| 18010 | // aten::bernoulli.Tensor(Tensor self, Tensor p, *, Generator? generator=None) -> Tensor |
| 18011 | inline at::Tensor bernoulli(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 18012 | return at::_ops::bernoulli_Tensor::redispatch(dispatchKeySet, self, p, generator); |
| 18013 | } |
| 18014 | |
| 18015 | // aten::bernoulli.float_out(Tensor self, float p=0.5, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 18016 | inline at::Tensor & bernoulli_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double p=0.5, c10::optional<at::Generator> generator=c10::nullopt) { |
| 18017 | return at::_ops::bernoulli_float_out::redispatch(dispatchKeySet, self, p, generator, out); |
| 18018 | } |
| 18019 | |
| 18020 | // aten::bernoulli.float_out(Tensor self, float p=0.5, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 18021 | inline at::Tensor & bernoulli_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 18022 | return at::_ops::bernoulli_float_out::redispatch(dispatchKeySet, self, p, generator, out); |
| 18023 | } |
| 18024 | |
| 18025 | // aten::binary_cross_entropy_with_logits.out(Tensor self, Tensor target, Tensor? weight=None, Tensor? pos_weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 18026 | inline at::Tensor & binary_cross_entropy_with_logits_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight={}, const c10::optional<at::Tensor> & pos_weight={}, int64_t reduction=at::Reduction::Mean) { |
| 18027 | return at::_ops::binary_cross_entropy_with_logits_out::redispatch(dispatchKeySet, self, target, weight, pos_weight, reduction, out); |
| 18028 | } |
| 18029 | |
| 18030 | // aten::binary_cross_entropy_with_logits.out(Tensor self, Tensor target, Tensor? weight=None, Tensor? pos_weight=None, int reduction=Mean, *, Tensor(a!) out) -> Tensor(a!) |
| 18031 | inline at::Tensor & binary_cross_entropy_with_logits_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & pos_weight, int64_t reduction, at::Tensor & out) { |
| 18032 | return at::_ops::binary_cross_entropy_with_logits_out::redispatch(dispatchKeySet, self, target, weight, pos_weight, reduction, out); |
| 18033 | } |
| 18034 | |
| 18035 | // aten::bincount.out(Tensor self, Tensor? weights=None, int minlength=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18036 | inline at::Tensor & bincount_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & weights={}, int64_t minlength=0) { |
| 18037 | return at::_ops::bincount_out::redispatch(dispatchKeySet, self, weights, minlength, out); |
| 18038 | } |
| 18039 | |
| 18040 | // aten::bincount.out(Tensor self, Tensor? weights=None, int minlength=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18041 | inline at::Tensor & bincount_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Tensor> & weights, int64_t minlength, at::Tensor & out) { |
| 18042 | return at::_ops::bincount_out::redispatch(dispatchKeySet, self, weights, minlength, out); |
| 18043 | } |
| 18044 | |
| 18045 | // aten::blackman_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18046 | inline at::Tensor & blackman_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length) { |
| 18047 | return at::_ops::blackman_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18048 | } |
| 18049 | |
| 18050 | // aten::blackman_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18051 | inline at::Tensor & blackman_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::Tensor & out) { |
| 18052 | return at::_ops::blackman_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18053 | } |
| 18054 | |
| 18055 | // aten::blackman_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18056 | inline at::Tensor & blackman_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic) { |
| 18057 | return at::_ops::blackman_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18058 | } |
| 18059 | |
| 18060 | // aten::blackman_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18061 | inline at::Tensor & blackman_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::Tensor & out) { |
| 18062 | return at::_ops::blackman_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18063 | } |
| 18064 | |
| 18065 | // aten::block_diag.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 18066 | inline at::Tensor & block_diag_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList tensors) { |
| 18067 | return at::_ops::block_diag_out::redispatch(dispatchKeySet, tensors, out); |
| 18068 | } |
| 18069 | |
| 18070 | // aten::block_diag.out(Tensor[] tensors, *, Tensor(a!) out) -> Tensor(a!) |
| 18071 | inline at::Tensor & block_diag_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::Tensor & out) { |
| 18072 | return at::_ops::block_diag_out::redispatch(dispatchKeySet, tensors, out); |
| 18073 | } |
| 18074 | |
| 18075 | // aten::constant_pad_nd.out(Tensor self, SymInt[] pad, Scalar value=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18076 | inline at::Tensor & constant_pad_nd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef pad, const at::Scalar & value=0) { |
| 18077 | return at::_ops::constant_pad_nd_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(pad), value, out); |
| 18078 | } |
| 18079 | |
| 18080 | // aten::constant_pad_nd.out(Tensor self, SymInt[] pad, Scalar value=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18081 | inline at::Tensor & constant_pad_nd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef pad, const at::Scalar & value, at::Tensor & out) { |
| 18082 | return at::_ops::constant_pad_nd_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(pad), value, out); |
| 18083 | } |
| 18084 | |
| 18085 | // aten::constant_pad_nd.out(Tensor self, SymInt[] pad, Scalar value=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18086 | inline at::Tensor & constant_pad_nd_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef pad, const at::Scalar & value=0) { |
| 18087 | return at::_ops::constant_pad_nd_out::redispatch(dispatchKeySet, self, pad, value, out); |
| 18088 | } |
| 18089 | |
| 18090 | // aten::constant_pad_nd.out(Tensor self, SymInt[] pad, Scalar value=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18091 | inline at::Tensor & constant_pad_nd_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef pad, const at::Scalar & value, at::Tensor & out) { |
| 18092 | return at::_ops::constant_pad_nd_out::redispatch(dispatchKeySet, self, pad, value, out); |
| 18093 | } |
| 18094 | |
| 18095 | // aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18096 | inline at::Tensor & convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups) { |
| 18097 | return at::_ops::convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, out); |
| 18098 | } |
| 18099 | |
| 18100 | // aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18101 | inline at::Tensor & convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, at::Tensor & out) { |
| 18102 | return at::_ops::convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, out); |
| 18103 | } |
| 18104 | |
| 18105 | // aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18106 | inline at::Tensor & convolution_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups) { |
| 18107 | return at::_ops::convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, out); |
| 18108 | } |
| 18109 | |
| 18110 | // aten::convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18111 | inline at::Tensor & convolution_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, at::Tensor & out) { |
| 18112 | return at::_ops::convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, out); |
| 18113 | } |
| 18114 | |
| 18115 | // aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18116 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> convolution_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::OptionalIntArrayRef bias_sizes, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 18117 | return at::_ops::convolution_backward_out::redispatch(dispatchKeySet, grad_output, input, weight, bias_sizes.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*bias_sizes)) : c10::nullopt, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, output_mask, out0, out1, out2); |
| 18118 | } |
| 18119 | |
| 18120 | // aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18121 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> convolution_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::OptionalIntArrayRef bias_sizes, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18122 | return at::_ops::convolution_backward_out::redispatch(dispatchKeySet, grad_output, input, weight, bias_sizes.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*bias_sizes)) : c10::nullopt, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, output_mask, out0, out1, out2); |
| 18123 | } |
| 18124 | |
| 18125 | // aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18126 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> convolution_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::OptionalSymIntArrayRef bias_sizes, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 18127 | return at::_ops::convolution_backward_out::redispatch(dispatchKeySet, grad_output, input, weight, bias_sizes, stride, padding, dilation, transposed, output_padding, groups, output_mask, out0, out1, out2); |
| 18128 | } |
| 18129 | |
| 18130 | // aten::convolution_backward.out(Tensor grad_output, Tensor input, Tensor weight, SymInt[]? bias_sizes, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18131 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> convolution_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::OptionalSymIntArrayRef bias_sizes, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18132 | return at::_ops::convolution_backward_out::redispatch(dispatchKeySet, grad_output, input, weight, bias_sizes, stride, padding, dilation, transposed, output_padding, groups, output_mask, out0, out1, out2); |
| 18133 | } |
| 18134 | |
| 18135 | // aten::convolution_overrideable.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18136 | inline at::Tensor & convolution_overrideable_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups) { |
| 18137 | return at::_ops::convolution_overrideable_out::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, out); |
| 18138 | } |
| 18139 | |
| 18140 | // aten::convolution_overrideable.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18141 | inline at::Tensor & convolution_overrideable_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, at::Tensor & out) { |
| 18142 | return at::_ops::convolution_overrideable_out::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, out); |
| 18143 | } |
| 18144 | |
| 18145 | // aten::convolution_backward_overrideable.out(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18146 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> convolution_backward_overrideable_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask) { |
| 18147 | return at::_ops::convolution_backward_overrideable_out::redispatch(dispatchKeySet, grad_output, input, weight, stride, padding, dilation, transposed, output_padding, groups, output_mask, out0, out1, out2); |
| 18148 | } |
| 18149 | |
| 18150 | // aten::convolution_backward_overrideable.out(Tensor grad_output, Tensor input, Tensor weight, int[] stride, int[] padding, int[] dilation, bool transposed, int[] output_padding, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18151 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> convolution_backward_overrideable_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18152 | return at::_ops::convolution_backward_overrideable_out::redispatch(dispatchKeySet, grad_output, input, weight, stride, padding, dilation, transposed, output_padding, groups, output_mask, out0, out1, out2); |
| 18153 | } |
| 18154 | |
| 18155 | // aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18156 | inline at::Tensor & _convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) { |
| 18157 | return at::_ops::_convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, benchmark, deterministic, cudnn_enabled, allow_tf32, out); |
| 18158 | } |
| 18159 | |
| 18160 | // aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18161 | inline at::Tensor & _convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, at::Tensor & out) { |
| 18162 | return at::_ops::_convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, benchmark, deterministic, cudnn_enabled, allow_tf32, out); |
| 18163 | } |
| 18164 | |
| 18165 | // aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18166 | inline at::Tensor & _convolution_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32) { |
| 18167 | return at::_ops::_convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled, allow_tf32, out); |
| 18168 | } |
| 18169 | |
| 18170 | // aten::_convolution.out(Tensor input, Tensor weight, Tensor? bias, int[] stride, SymInt[] padding, int[] dilation, bool transposed, SymInt[] output_padding, int groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18171 | inline at::Tensor & _convolution_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, bool benchmark, bool deterministic, bool cudnn_enabled, bool allow_tf32, at::Tensor & out) { |
| 18172 | return at::_ops::_convolution_out::redispatch(dispatchKeySet, input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled, allow_tf32, out); |
| 18173 | } |
| 18174 | |
| 18175 | // aten::conv_tbc.out(Tensor self, Tensor weight, Tensor bias, int pad=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18176 | inline at::Tensor & conv_tbc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & bias, int64_t pad=0) { |
| 18177 | return at::_ops::conv_tbc_out::redispatch(dispatchKeySet, self, weight, bias, pad, out); |
| 18178 | } |
| 18179 | |
| 18180 | // aten::conv_tbc.out(Tensor self, Tensor weight, Tensor bias, int pad=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18181 | inline at::Tensor & conv_tbc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & bias, int64_t pad, at::Tensor & out) { |
| 18182 | return at::_ops::conv_tbc_out::redispatch(dispatchKeySet, self, weight, bias, pad, out); |
| 18183 | } |
| 18184 | |
| 18185 | // aten::copy.out(Tensor self, Tensor src, bool non_blocking=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18186 | inline at::Tensor & copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, bool non_blocking=false) { |
| 18187 | return at::_ops::copy_out::redispatch(dispatchKeySet, self, src, non_blocking, out); |
| 18188 | } |
| 18189 | |
| 18190 | // aten::copy.out(Tensor self, Tensor src, bool non_blocking=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18191 | inline at::Tensor & copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, bool non_blocking, at::Tensor & out) { |
| 18192 | return at::_ops::copy_out::redispatch(dispatchKeySet, self, src, non_blocking, out); |
| 18193 | } |
| 18194 | |
| 18195 | // aten::_copy_from.out(Tensor self, Tensor dst, bool non_blocking=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18196 | inline at::Tensor & _copy_from_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & dst, bool non_blocking=false) { |
| 18197 | return at::_ops::_copy_from_out::redispatch(dispatchKeySet, self, dst, non_blocking, out); |
| 18198 | } |
| 18199 | |
| 18200 | // aten::_copy_from.out(Tensor self, Tensor dst, bool non_blocking=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18201 | inline at::Tensor & _copy_from_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & dst, bool non_blocking, at::Tensor & out) { |
| 18202 | return at::_ops::_copy_from_out::redispatch(dispatchKeySet, self, dst, non_blocking, out); |
| 18203 | } |
| 18204 | |
| 18205 | // aten::_copy_from_and_resize.out(Tensor self, Tensor dst, *, Tensor(a!) out) -> Tensor(a!) |
| 18206 | inline at::Tensor & _copy_from_and_resize_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & dst) { |
| 18207 | return at::_ops::_copy_from_and_resize_out::redispatch(dispatchKeySet, self, dst, out); |
| 18208 | } |
| 18209 | |
| 18210 | // aten::_copy_from_and_resize.out(Tensor self, Tensor dst, *, Tensor(a!) out) -> Tensor(a!) |
| 18211 | inline at::Tensor & _copy_from_and_resize_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & dst, at::Tensor & out) { |
| 18212 | return at::_ops::_copy_from_and_resize_out::redispatch(dispatchKeySet, self, dst, out); |
| 18213 | } |
| 18214 | |
| 18215 | // aten::count_nonzero.dim_IntList_out(Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 18216 | inline at::Tensor & count_nonzero_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim) { |
| 18217 | return at::_ops::count_nonzero_dim_IntList_out::redispatch(dispatchKeySet, self, dim, out); |
| 18218 | } |
| 18219 | |
| 18220 | // aten::count_nonzero.dim_IntList_out(Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 18221 | inline at::Tensor & count_nonzero_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, at::Tensor & out) { |
| 18222 | return at::_ops::count_nonzero_dim_IntList_out::redispatch(dispatchKeySet, self, dim, out); |
| 18223 | } |
| 18224 | |
| 18225 | // aten::count_nonzero.out(Tensor self, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 18226 | inline at::Tensor & count_nonzero_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> dim=c10::nullopt) { |
| 18227 | return at::_ops::count_nonzero_out::redispatch(dispatchKeySet, self, dim, out); |
| 18228 | } |
| 18229 | |
| 18230 | // aten::count_nonzero.out(Tensor self, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 18231 | inline at::Tensor & count_nonzero_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dim, at::Tensor & out) { |
| 18232 | return at::_ops::count_nonzero_out::redispatch(dispatchKeySet, self, dim, out); |
| 18233 | } |
| 18234 | |
| 18235 | // aten::cudnn_affine_grid_generator.out(Tensor theta, int N, int C, int H, int W, *, Tensor(a!) out) -> Tensor(a!) |
| 18236 | inline at::Tensor & cudnn_affine_grid_generator_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & theta, int64_t N, int64_t C, int64_t H, int64_t W) { |
| 18237 | return at::_ops::cudnn_affine_grid_generator_out::redispatch(dispatchKeySet, theta, N, C, H, W, out); |
| 18238 | } |
| 18239 | |
| 18240 | // aten::cudnn_affine_grid_generator.out(Tensor theta, int N, int C, int H, int W, *, Tensor(a!) out) -> Tensor(a!) |
| 18241 | inline at::Tensor & cudnn_affine_grid_generator_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & theta, int64_t N, int64_t C, int64_t H, int64_t W, at::Tensor & out) { |
| 18242 | return at::_ops::cudnn_affine_grid_generator_out::redispatch(dispatchKeySet, theta, N, C, H, W, out); |
| 18243 | } |
| 18244 | |
| 18245 | // aten::cudnn_affine_grid_generator_backward.out(Tensor grad, int N, int C, int H, int W, *, Tensor(a!) out) -> Tensor(a!) |
| 18246 | inline at::Tensor & cudnn_affine_grid_generator_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, int64_t N, int64_t C, int64_t H, int64_t W) { |
| 18247 | return at::_ops::cudnn_affine_grid_generator_backward_out::redispatch(dispatchKeySet, grad, N, C, H, W, out); |
| 18248 | } |
| 18249 | |
| 18250 | // aten::cudnn_affine_grid_generator_backward.out(Tensor grad, int N, int C, int H, int W, *, Tensor(a!) out) -> Tensor(a!) |
| 18251 | inline at::Tensor & cudnn_affine_grid_generator_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, int64_t N, int64_t C, int64_t H, int64_t W, at::Tensor & out) { |
| 18252 | return at::_ops::cudnn_affine_grid_generator_backward_out::redispatch(dispatchKeySet, grad, N, C, H, W, out); |
| 18253 | } |
| 18254 | |
| 18255 | // aten::cudnn_batch_norm.out(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 18256 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> cudnn_batch_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon) { |
| 18257 | return at::_ops::cudnn_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon, out0, out1, out2, out3); |
| 18258 | } |
| 18259 | |
| 18260 | // aten::cudnn_batch_norm.out(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 18261 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> cudnn_batch_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3) { |
| 18262 | return at::_ops::cudnn_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon, out0, out1, out2, out3); |
| 18263 | } |
| 18264 | |
| 18265 | // aten::cudnn_batch_norm_backward.out(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon, Tensor reserveSpace, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18266 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> cudnn_batch_norm_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon, const at::Tensor & reserveSpace) { |
| 18267 | return at::_ops::cudnn_batch_norm_backward_out::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace, out0, out1, out2); |
| 18268 | } |
| 18269 | |
| 18270 | // aten::cudnn_batch_norm_backward.out(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon, Tensor reserveSpace, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18271 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> cudnn_batch_norm_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon, const at::Tensor & reserveSpace, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18272 | return at::_ops::cudnn_batch_norm_backward_out::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, reserveSpace, out0, out1, out2); |
| 18273 | } |
| 18274 | |
| 18275 | // aten::cudnn_convolution.out(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18276 | inline at::Tensor & cudnn_convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) { |
| 18277 | return at::_ops::cudnn_convolution_out::redispatch(dispatchKeySet, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32, out); |
| 18278 | } |
| 18279 | |
| 18280 | // aten::cudnn_convolution.out(Tensor self, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18281 | inline at::Tensor & cudnn_convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32, at::Tensor & out) { |
| 18282 | return at::_ops::cudnn_convolution_out::redispatch(dispatchKeySet, self, weight, padding, stride, dilation, groups, benchmark, deterministic, allow_tf32, out); |
| 18283 | } |
| 18284 | |
| 18285 | // aten::cudnn_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18286 | inline at::Tensor & cudnn_convolution_transpose_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32) { |
| 18287 | return at::_ops::cudnn_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32, out); |
| 18288 | } |
| 18289 | |
| 18290 | // aten::cudnn_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, bool allow_tf32, *, Tensor(a!) out) -> Tensor(a!) |
| 18291 | inline at::Tensor & cudnn_convolution_transpose_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, bool allow_tf32, at::Tensor & out) { |
| 18292 | return at::_ops::cudnn_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups, benchmark, deterministic, allow_tf32, out); |
| 18293 | } |
| 18294 | |
| 18295 | // aten::_mps_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18296 | inline at::Tensor & _mps_convolution_transpose_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 18297 | return at::_ops::_mps_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups, out); |
| 18298 | } |
| 18299 | |
| 18300 | // aten::_mps_convolution_transpose.out(Tensor self, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18301 | inline at::Tensor & _mps_convolution_transpose_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, at::Tensor & out) { |
| 18302 | return at::_ops::_mps_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, padding, output_padding, stride, dilation, groups, out); |
| 18303 | } |
| 18304 | |
| 18305 | // aten::mps_convolution_transpose_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18306 | inline ::std::tuple<at::Tensor &,at::Tensor &> mps_convolution_transpose_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, ::std::array<bool,2> output_mask) { |
| 18307 | return at::_ops::mps_convolution_transpose_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, padding, output_padding, stride, dilation, groups, output_mask, out0, out1); |
| 18308 | } |
| 18309 | |
| 18310 | // aten::mps_convolution_transpose_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] output_padding, int[] stride, int[] dilation, int groups, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18311 | inline ::std::tuple<at::Tensor &,at::Tensor &> mps_convolution_transpose_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, ::std::array<bool,2> output_mask, at::Tensor & out0, at::Tensor & out1) { |
| 18312 | return at::_ops::mps_convolution_transpose_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, padding, output_padding, stride, dilation, groups, output_mask, out0, out1); |
| 18313 | } |
| 18314 | |
| 18315 | // aten::cudnn_convolution_relu.out(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18316 | inline at::Tensor & cudnn_convolution_relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 18317 | return at::_ops::cudnn_convolution_relu_out::redispatch(dispatchKeySet, self, weight, bias, stride, padding, dilation, groups, out); |
| 18318 | } |
| 18319 | |
| 18320 | // aten::cudnn_convolution_relu.out(Tensor self, Tensor weight, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18321 | inline at::Tensor & cudnn_convolution_relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups, at::Tensor & out) { |
| 18322 | return at::_ops::cudnn_convolution_relu_out::redispatch(dispatchKeySet, self, weight, bias, stride, padding, dilation, groups, out); |
| 18323 | } |
| 18324 | |
| 18325 | // aten::cudnn_convolution_add_relu.out(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18326 | inline at::Tensor & cudnn_convolution_add_relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & z, const c10::optional<at::Scalar> & alpha, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 18327 | return at::_ops::cudnn_convolution_add_relu_out::redispatch(dispatchKeySet, self, weight, z, alpha, bias, stride, padding, dilation, groups, out); |
| 18328 | } |
| 18329 | |
| 18330 | // aten::cudnn_convolution_add_relu.out(Tensor self, Tensor weight, Tensor z, Scalar? alpha, Tensor? bias, int[] stride, int[] padding, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 18331 | inline at::Tensor & cudnn_convolution_add_relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const at::Tensor & z, const c10::optional<at::Scalar> & alpha, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups, at::Tensor & out) { |
| 18332 | return at::_ops::cudnn_convolution_add_relu_out::redispatch(dispatchKeySet, self, weight, z, alpha, bias, stride, padding, dilation, groups, out); |
| 18333 | } |
| 18334 | |
| 18335 | // aten::cudnn_grid_sampler.out(Tensor self, Tensor grid, *, Tensor(a!) out) -> Tensor(a!) |
| 18336 | inline at::Tensor & cudnn_grid_sampler_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & grid) { |
| 18337 | return at::_ops::cudnn_grid_sampler_out::redispatch(dispatchKeySet, self, grid, out); |
| 18338 | } |
| 18339 | |
| 18340 | // aten::cudnn_grid_sampler.out(Tensor self, Tensor grid, *, Tensor(a!) out) -> Tensor(a!) |
| 18341 | inline at::Tensor & cudnn_grid_sampler_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid, at::Tensor & out) { |
| 18342 | return at::_ops::cudnn_grid_sampler_out::redispatch(dispatchKeySet, self, grid, out); |
| 18343 | } |
| 18344 | |
| 18345 | // aten::cudnn_grid_sampler_backward.out(Tensor self, Tensor grid, Tensor grad_output, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18346 | inline ::std::tuple<at::Tensor &,at::Tensor &> cudnn_grid_sampler_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output) { |
| 18347 | return at::_ops::cudnn_grid_sampler_backward_out::redispatch(dispatchKeySet, self, grid, grad_output, out0, out1); |
| 18348 | } |
| 18349 | |
| 18350 | // aten::cudnn_grid_sampler_backward.out(Tensor self, Tensor grid, Tensor grad_output, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18351 | inline ::std::tuple<at::Tensor &,at::Tensor &> cudnn_grid_sampler_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output, at::Tensor & out0, at::Tensor & out1) { |
| 18352 | return at::_ops::cudnn_grid_sampler_backward_out::redispatch(dispatchKeySet, self, grid, grad_output, out0, out1); |
| 18353 | } |
| 18354 | |
| 18355 | // aten::_ctc_loss.out(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank=0, bool zero_infinity=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18356 | inline ::std::tuple<at::Tensor &,at::Tensor &> _ctc_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank=0, bool zero_infinity=false) { |
| 18357 | return at::_ops::_ctc_loss_out::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, zero_infinity, out0, out1); |
| 18358 | } |
| 18359 | |
| 18360 | // aten::_ctc_loss.out(Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, int blank=0, bool zero_infinity=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18361 | inline ::std::tuple<at::Tensor &,at::Tensor &> _ctc_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank, bool zero_infinity, at::Tensor & out0, at::Tensor & out1) { |
| 18362 | return at::_ops::_ctc_loss_out::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, zero_infinity, out0, out1); |
| 18363 | } |
| 18364 | |
| 18365 | // aten::_ctc_loss.Tensor_out(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, int blank=0, bool zero_infinity=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18366 | inline ::std::tuple<at::Tensor &,at::Tensor &> _ctc_loss_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank=0, bool zero_infinity=false) { |
| 18367 | return at::_ops::_ctc_loss_Tensor_out::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, zero_infinity, out0, out1); |
| 18368 | } |
| 18369 | |
| 18370 | // aten::_ctc_loss.Tensor_out(Tensor log_probs, Tensor targets, Tensor input_lengths, Tensor target_lengths, int blank=0, bool zero_infinity=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18371 | inline ::std::tuple<at::Tensor &,at::Tensor &> _ctc_loss_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank, bool zero_infinity, at::Tensor & out0, at::Tensor & out1) { |
| 18372 | return at::_ops::_ctc_loss_Tensor_out::redispatch(dispatchKeySet, log_probs, targets, input_lengths, target_lengths, blank, zero_infinity, out0, out1); |
| 18373 | } |
| 18374 | |
| 18375 | // aten::_ctc_loss_backward.out(Tensor grad, Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, int blank, bool zero_infinity=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18376 | inline at::Tensor & _ctc_loss_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, const at::Tensor & neg_log_likelihood, const at::Tensor & log_alpha, int64_t blank, bool zero_infinity=false) { |
| 18377 | return at::_ops::_ctc_loss_backward_out::redispatch(dispatchKeySet, grad, log_probs, targets, input_lengths, target_lengths, neg_log_likelihood, log_alpha, blank, zero_infinity, out); |
| 18378 | } |
| 18379 | |
| 18380 | // aten::_ctc_loss_backward.out(Tensor grad, Tensor log_probs, Tensor targets, int[] input_lengths, int[] target_lengths, Tensor neg_log_likelihood, Tensor log_alpha, int blank, bool zero_infinity=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18381 | inline at::Tensor & _ctc_loss_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, const at::Tensor & neg_log_likelihood, const at::Tensor & log_alpha, int64_t blank, bool zero_infinity, at::Tensor & out) { |
| 18382 | return at::_ops::_ctc_loss_backward_out::redispatch(dispatchKeySet, grad, log_probs, targets, input_lengths, target_lengths, neg_log_likelihood, log_alpha, blank, zero_infinity, out); |
| 18383 | } |
| 18384 | |
| 18385 | // aten::diag_embed.out(Tensor self, int offset=0, int dim1=-2, int dim2=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18386 | inline at::Tensor & diag_embed_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t offset=0, int64_t dim1=-2, int64_t dim2=-1) { |
| 18387 | return at::_ops::diag_embed_out::redispatch(dispatchKeySet, self, offset, dim1, dim2, out); |
| 18388 | } |
| 18389 | |
| 18390 | // aten::diag_embed.out(Tensor self, int offset=0, int dim1=-2, int dim2=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18391 | inline at::Tensor & diag_embed_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset, int64_t dim1, int64_t dim2, at::Tensor & out) { |
| 18392 | return at::_ops::diag_embed_out::redispatch(dispatchKeySet, self, offset, dim1, dim2, out); |
| 18393 | } |
| 18394 | |
| 18395 | // aten::diagonal_backward.out(Tensor grad_output, SymInt[] input_sizes, int offset, int dim1, int dim2, *, Tensor(a!) out) -> Tensor(a!) |
| 18396 | inline at::Tensor & diagonal_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t offset, int64_t dim1, int64_t dim2) { |
| 18397 | return at::_ops::diagonal_backward_out::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), offset, dim1, dim2, out); |
| 18398 | } |
| 18399 | |
| 18400 | // aten::diagonal_backward.out(Tensor grad_output, SymInt[] input_sizes, int offset, int dim1, int dim2, *, Tensor(a!) out) -> Tensor(a!) |
| 18401 | inline at::Tensor & diagonal_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t offset, int64_t dim1, int64_t dim2, at::Tensor & out) { |
| 18402 | return at::_ops::diagonal_backward_out::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), offset, dim1, dim2, out); |
| 18403 | } |
| 18404 | |
| 18405 | // aten::diagonal_backward.out(Tensor grad_output, SymInt[] input_sizes, int offset, int dim1, int dim2, *, Tensor(a!) out) -> Tensor(a!) |
| 18406 | inline at::Tensor & diagonal_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t offset, int64_t dim1, int64_t dim2) { |
| 18407 | return at::_ops::diagonal_backward_out::redispatch(dispatchKeySet, grad_output, input_sizes, offset, dim1, dim2, out); |
| 18408 | } |
| 18409 | |
| 18410 | // aten::diagonal_backward.out(Tensor grad_output, SymInt[] input_sizes, int offset, int dim1, int dim2, *, Tensor(a!) out) -> Tensor(a!) |
| 18411 | inline at::Tensor & diagonal_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t offset, int64_t dim1, int64_t dim2, at::Tensor & out) { |
| 18412 | return at::_ops::diagonal_backward_out::redispatch(dispatchKeySet, grad_output, input_sizes, offset, dim1, dim2, out); |
| 18413 | } |
| 18414 | |
| 18415 | // aten::div.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 18416 | inline at::Tensor & div_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 18417 | return at::_ops::div_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 18418 | } |
| 18419 | |
| 18420 | // aten::div.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 18421 | inline at::Tensor & div_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 18422 | return at::_ops::div_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 18423 | } |
| 18424 | |
| 18425 | // aten::div.Scalar_mode_out(Tensor self, Scalar other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!) |
| 18426 | inline at::Tensor & div_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 18427 | return at::_ops::div_Scalar_mode_out::redispatch(dispatchKeySet, self, other, rounding_mode, out); |
| 18428 | } |
| 18429 | |
| 18430 | // aten::div.Scalar_mode_out(Tensor self, Scalar other, *, str? rounding_mode, Tensor(a!) out) -> Tensor(a!) |
| 18431 | inline at::Tensor & div_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode, at::Tensor & out) { |
| 18432 | return at::_ops::div_Scalar_mode_out::redispatch(dispatchKeySet, self, other, rounding_mode, out); |
| 18433 | } |
| 18434 | |
| 18435 | // aten::embedding.out(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18436 | inline at::Tensor & embedding_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & weight, const at::Tensor & indices, int64_t padding_idx=-1, bool scale_grad_by_freq=false, bool sparse=false) { |
| 18437 | return at::_ops::embedding_out::redispatch(dispatchKeySet, weight, indices, padding_idx, scale_grad_by_freq, sparse, out); |
| 18438 | } |
| 18439 | |
| 18440 | // aten::embedding.out(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18441 | inline at::Tensor & embedding_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, int64_t padding_idx, bool scale_grad_by_freq, bool sparse, at::Tensor & out) { |
| 18442 | return at::_ops::embedding_out::redispatch(dispatchKeySet, weight, indices, padding_idx, scale_grad_by_freq, sparse, out); |
| 18443 | } |
| 18444 | |
| 18445 | // aten::embedding.out(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18446 | inline at::Tensor & embedding_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & weight, const at::Tensor & indices, c10::SymInt padding_idx=-1, bool scale_grad_by_freq=false, bool sparse=false) { |
| 18447 | return at::_ops::embedding_out::redispatch(dispatchKeySet, weight, indices, padding_idx, scale_grad_by_freq, sparse, out); |
| 18448 | } |
| 18449 | |
| 18450 | // aten::embedding.out(Tensor weight, Tensor indices, SymInt padding_idx=-1, bool scale_grad_by_freq=False, bool sparse=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18451 | inline at::Tensor & embedding_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse, at::Tensor & out) { |
| 18452 | return at::_ops::embedding_out::redispatch(dispatchKeySet, weight, indices, padding_idx, scale_grad_by_freq, sparse, out); |
| 18453 | } |
| 18454 | |
| 18455 | // aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!) |
| 18456 | inline at::Tensor & embedding_dense_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) { |
| 18457 | return at::_ops::embedding_dense_backward_out::redispatch(dispatchKeySet, grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out); |
| 18458 | } |
| 18459 | |
| 18460 | // aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!) |
| 18461 | inline at::Tensor & embedding_dense_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq, at::Tensor & out) { |
| 18462 | return at::_ops::embedding_dense_backward_out::redispatch(dispatchKeySet, grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out); |
| 18463 | } |
| 18464 | |
| 18465 | // aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!) |
| 18466 | inline at::Tensor & embedding_dense_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq) { |
| 18467 | return at::_ops::embedding_dense_backward_out::redispatch(dispatchKeySet, grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out); |
| 18468 | } |
| 18469 | |
| 18470 | // aten::embedding_dense_backward.out(Tensor grad_output, Tensor indices, SymInt num_weights, SymInt padding_idx, bool scale_grad_by_freq, *, Tensor(a!) out) -> Tensor(a!) |
| 18471 | inline at::Tensor & embedding_dense_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq, at::Tensor & out) { |
| 18472 | return at::_ops::embedding_dense_backward_out::redispatch(dispatchKeySet, grad_output, indices, num_weights, padding_idx, scale_grad_by_freq, out); |
| 18473 | } |
| 18474 | |
| 18475 | // aten::embedding_renorm.out(Tensor self, Tensor indices, float max_norm, float norm_type, *, Tensor(a!) out) -> Tensor(a!) |
| 18476 | inline at::Tensor & embedding_renorm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type) { |
| 18477 | return at::_ops::embedding_renorm_out::redispatch(dispatchKeySet, self, indices, max_norm, norm_type, out); |
| 18478 | } |
| 18479 | |
| 18480 | // aten::embedding_renorm.out(Tensor self, Tensor indices, float max_norm, float norm_type, *, Tensor(a!) out) -> Tensor(a!) |
| 18481 | inline at::Tensor & embedding_renorm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type, at::Tensor & out) { |
| 18482 | return at::_ops::embedding_renorm_out::redispatch(dispatchKeySet, self, indices, max_norm, norm_type, out); |
| 18483 | } |
| 18484 | |
| 18485 | // aten::embedding_renorm(Tensor self, Tensor indices, float max_norm, float norm_type) -> Tensor |
| 18486 | inline at::Tensor embedding_renorm(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & indices, double max_norm, double norm_type) { |
| 18487 | return at::_ops::embedding_renorm::redispatch(dispatchKeySet, self, indices, max_norm, norm_type); |
| 18488 | } |
| 18489 | |
| 18490 | // aten::_embedding_bag_forward_only.out(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 18491 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _embedding_bag_forward_only_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1) { |
| 18492 | return at::_ops::_embedding_bag_forward_only_out::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx, out0, out1, out2, out3); |
| 18493 | } |
| 18494 | |
| 18495 | // aten::_embedding_bag_forward_only.out(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 18496 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _embedding_bag_forward_only_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq, int64_t mode, bool sparse, const c10::optional<at::Tensor> & per_sample_weights, bool include_last_offset, int64_t padding_idx, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3) { |
| 18497 | return at::_ops::_embedding_bag_forward_only_out::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx, out0, out1, out2, out3); |
| 18498 | } |
| 18499 | |
| 18500 | // aten::_embedding_bag.out(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 18501 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _embedding_bag_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq=false, int64_t mode=0, bool sparse=false, const c10::optional<at::Tensor> & per_sample_weights={}, bool include_last_offset=false, int64_t padding_idx=-1) { |
| 18502 | return at::_ops::_embedding_bag_out::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx, out0, out1, out2, out3); |
| 18503 | } |
| 18504 | |
| 18505 | // aten::_embedding_bag.out(Tensor weight, Tensor indices, Tensor offsets, bool scale_grad_by_freq=False, int mode=0, bool sparse=False, Tensor? per_sample_weights=None, bool include_last_offset=False, int padding_idx=-1, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 18506 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _embedding_bag_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, bool scale_grad_by_freq, int64_t mode, bool sparse, const c10::optional<at::Tensor> & per_sample_weights, bool include_last_offset, int64_t padding_idx, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3) { |
| 18507 | return at::_ops::_embedding_bag_out::redispatch(dispatchKeySet, weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx, out0, out1, out2, out3); |
| 18508 | } |
| 18509 | |
| 18510 | // aten::_embedding_bag_dense_backward.out(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18511 | inline at::Tensor & _embedding_bag_dense_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 18512 | return at::_ops::_embedding_bag_dense_backward_out::redispatch(dispatchKeySet, grad, indices, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx, out); |
| 18513 | } |
| 18514 | |
| 18515 | // aten::_embedding_bag_dense_backward.out(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18516 | inline at::Tensor & _embedding_bag_dense_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, int64_t num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx, at::Tensor & out) { |
| 18517 | return at::_ops::_embedding_bag_dense_backward_out::redispatch(dispatchKeySet, grad, indices, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx, out); |
| 18518 | } |
| 18519 | |
| 18520 | // aten::_embedding_bag_dense_backward.out(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18521 | inline at::Tensor & _embedding_bag_dense_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, c10::SymInt num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx=-1) { |
| 18522 | return at::_ops::_embedding_bag_dense_backward_out::redispatch(dispatchKeySet, grad, indices, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx, out); |
| 18523 | } |
| 18524 | |
| 18525 | // aten::_embedding_bag_dense_backward.out(Tensor grad, Tensor indices, Tensor offset2bag, Tensor bag_size, Tensor maximum_indices, SymInt num_weights, bool scale_grad_by_freq, int mode, Tensor? per_sample_weights, int padding_idx=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18526 | inline at::Tensor & _embedding_bag_dense_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & indices, const at::Tensor & offset2bag, const at::Tensor & bag_size, const at::Tensor & maximum_indices, c10::SymInt num_weights, bool scale_grad_by_freq, int64_t mode, const c10::optional<at::Tensor> & per_sample_weights, int64_t padding_idx, at::Tensor & out) { |
| 18527 | return at::_ops::_embedding_bag_dense_backward_out::redispatch(dispatchKeySet, grad, indices, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx, out); |
| 18528 | } |
| 18529 | |
| 18530 | // aten::_embedding_bag_per_sample_weights_backward.out(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, int mode, int padding_idx=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18531 | inline at::Tensor & _embedding_bag_per_sample_weights_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, int64_t mode, int64_t padding_idx=-1) { |
| 18532 | return at::_ops::_embedding_bag_per_sample_weights_backward_out::redispatch(dispatchKeySet, grad, weight, indices, offsets, offset2bag, mode, padding_idx, out); |
| 18533 | } |
| 18534 | |
| 18535 | // aten::_embedding_bag_per_sample_weights_backward.out(Tensor grad, Tensor weight, Tensor indices, Tensor offsets, Tensor offset2bag, int mode, int padding_idx=-1, *, Tensor(a!) out) -> Tensor(a!) |
| 18536 | inline at::Tensor & _embedding_bag_per_sample_weights_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & weight, const at::Tensor & indices, const at::Tensor & offsets, const at::Tensor & offset2bag, int64_t mode, int64_t padding_idx, at::Tensor & out) { |
| 18537 | return at::_ops::_embedding_bag_per_sample_weights_backward_out::redispatch(dispatchKeySet, grad, weight, indices, offsets, offset2bag, mode, padding_idx, out); |
| 18538 | } |
| 18539 | |
| 18540 | // aten::empty.names_out(int[] size, *, Dimname[]? names, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18541 | inline at::Tensor & empty_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18542 | return at::_ops::empty_names_out::redispatch(dispatchKeySet, size, names, memory_format, out); |
| 18543 | } |
| 18544 | |
| 18545 | // aten::empty.names_out(int[] size, *, Dimname[]? names, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18546 | inline at::Tensor & empty_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 18547 | return at::_ops::empty_names_out::redispatch(dispatchKeySet, size, names, memory_format, out); |
| 18548 | } |
| 18549 | |
| 18550 | // aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18551 | inline at::Tensor & new_empty_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) { |
| 18552 | return at::_ops::new_empty_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 18553 | } |
| 18554 | |
| 18555 | // aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18556 | inline at::Tensor & new_empty_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) { |
| 18557 | return at::_ops::new_empty_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 18558 | } |
| 18559 | |
| 18560 | // aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18561 | inline at::Tensor & new_empty_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 18562 | return at::_ops::new_empty_out::redispatch(dispatchKeySet, self, size, out); |
| 18563 | } |
| 18564 | |
| 18565 | // aten::new_empty.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18566 | inline at::Tensor & new_empty_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out) { |
| 18567 | return at::_ops::new_empty_out::redispatch(dispatchKeySet, self, size, out); |
| 18568 | } |
| 18569 | |
| 18570 | // aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18571 | inline at::Tensor & new_empty_strided_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride) { |
| 18572 | return at::_ops::new_empty_strided_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 18573 | } |
| 18574 | |
| 18575 | // aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18576 | inline at::Tensor & new_empty_strided_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, at::Tensor & out) { |
| 18577 | return at::_ops::new_empty_strided_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 18578 | } |
| 18579 | |
| 18580 | // aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18581 | inline at::Tensor & new_empty_strided_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) { |
| 18582 | return at::_ops::new_empty_strided_out::redispatch(dispatchKeySet, self, size, stride, out); |
| 18583 | } |
| 18584 | |
| 18585 | // aten::new_empty_strided.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18586 | inline at::Tensor & new_empty_strided_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::Tensor & out) { |
| 18587 | return at::_ops::new_empty_strided_out::redispatch(dispatchKeySet, self, size, stride, out); |
| 18588 | } |
| 18589 | |
| 18590 | // aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 18591 | inline at::Tensor & new_full_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value) { |
| 18592 | return at::_ops::new_full_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), fill_value, out); |
| 18593 | } |
| 18594 | |
| 18595 | // aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 18596 | inline at::Tensor & new_full_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) { |
| 18597 | return at::_ops::new_full_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), fill_value, out); |
| 18598 | } |
| 18599 | |
| 18600 | // aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 18601 | inline at::Tensor & new_full_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value) { |
| 18602 | return at::_ops::new_full_out::redispatch(dispatchKeySet, self, size, fill_value, out); |
| 18603 | } |
| 18604 | |
| 18605 | // aten::new_full.out(Tensor self, SymInt[] size, Scalar fill_value, *, Tensor(a!) out) -> Tensor(a!) |
| 18606 | inline at::Tensor & new_full_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, const at::Scalar & fill_value, at::Tensor & out) { |
| 18607 | return at::_ops::new_full_out::redispatch(dispatchKeySet, self, size, fill_value, out); |
| 18608 | } |
| 18609 | |
| 18610 | // aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18611 | inline at::Tensor & new_zeros_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) { |
| 18612 | return at::_ops::new_zeros_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 18613 | } |
| 18614 | |
| 18615 | // aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18616 | inline at::Tensor & new_zeros_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) { |
| 18617 | return at::_ops::new_zeros_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 18618 | } |
| 18619 | |
| 18620 | // aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18621 | inline at::Tensor & new_zeros_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 18622 | return at::_ops::new_zeros_out::redispatch(dispatchKeySet, self, size, out); |
| 18623 | } |
| 18624 | |
| 18625 | // aten::new_zeros.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18626 | inline at::Tensor & new_zeros_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out) { |
| 18627 | return at::_ops::new_zeros_out::redispatch(dispatchKeySet, self, size, out); |
| 18628 | } |
| 18629 | |
| 18630 | // aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18631 | inline at::Tensor & new_ones_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) { |
| 18632 | return at::_ops::new_ones_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 18633 | } |
| 18634 | |
| 18635 | // aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18636 | inline at::Tensor & new_ones_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) { |
| 18637 | return at::_ops::new_ones_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 18638 | } |
| 18639 | |
| 18640 | // aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18641 | inline at::Tensor & new_ones_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 18642 | return at::_ops::new_ones_out::redispatch(dispatchKeySet, self, size, out); |
| 18643 | } |
| 18644 | |
| 18645 | // aten::new_ones.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 18646 | inline at::Tensor & new_ones_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out) { |
| 18647 | return at::_ops::new_ones_out::redispatch(dispatchKeySet, self, size, out); |
| 18648 | } |
| 18649 | |
| 18650 | // aten::_empty_affine_quantized.out(int[] size, *, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!) |
| 18651 | inline at::Tensor & _empty_affine_quantized_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, double scale=1, int64_t zero_point=0, c10::optional<at::MemoryFormat> memory_format=MemoryFormat::Contiguous) { |
| 18652 | return at::_ops::_empty_affine_quantized_out::redispatch(dispatchKeySet, size, scale, zero_point, memory_format, out); |
| 18653 | } |
| 18654 | |
| 18655 | // aten::_empty_affine_quantized.out(int[] size, *, float scale=1, int zero_point=0, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!) |
| 18656 | inline at::Tensor & _empty_affine_quantized_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, double scale, int64_t zero_point, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 18657 | return at::_ops::_empty_affine_quantized_out::redispatch(dispatchKeySet, size, scale, zero_point, memory_format, out); |
| 18658 | } |
| 18659 | |
| 18660 | // aten::_empty_per_channel_affine_quantized.out(int[] size, *, Tensor scales, Tensor zero_points, int axis, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!) |
| 18661 | inline at::Tensor & _empty_per_channel_affine_quantized_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, c10::optional<at::MemoryFormat> memory_format=MemoryFormat::Contiguous) { |
| 18662 | return at::_ops::_empty_per_channel_affine_quantized_out::redispatch(dispatchKeySet, size, scales, zero_points, axis, memory_format, out); |
| 18663 | } |
| 18664 | |
| 18665 | // aten::_empty_per_channel_affine_quantized.out(int[] size, *, Tensor scales, Tensor zero_points, int axis, MemoryFormat? memory_format=contiguous_format, Tensor(a!) out) -> Tensor(a!) |
| 18666 | inline at::Tensor & _empty_per_channel_affine_quantized_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 18667 | return at::_ops::_empty_per_channel_affine_quantized_out::redispatch(dispatchKeySet, size, scales, zero_points, axis, memory_format, out); |
| 18668 | } |
| 18669 | |
| 18670 | // aten::resize.out(Tensor self, SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18671 | inline const at::Tensor & resize_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18672 | return at::_ops::resize_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), memory_format, out); |
| 18673 | } |
| 18674 | |
| 18675 | // aten::resize.out(Tensor self, SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18676 | inline const at::Tensor & resize_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format, const at::Tensor & out) { |
| 18677 | return at::_ops::resize_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), memory_format, out); |
| 18678 | } |
| 18679 | |
| 18680 | // aten::resize.out(Tensor self, SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18681 | inline const at::Tensor & resize_symint_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18682 | return at::_ops::resize_out::redispatch(dispatchKeySet, self, size, memory_format, out); |
| 18683 | } |
| 18684 | |
| 18685 | // aten::resize.out(Tensor self, SymInt[] size, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18686 | inline const at::Tensor & resize_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format, const at::Tensor & out) { |
| 18687 | return at::_ops::resize_out::redispatch(dispatchKeySet, self, size, memory_format, out); |
| 18688 | } |
| 18689 | |
| 18690 | // aten::resize(Tensor self, SymInt[] size, *, MemoryFormat? memory_format=None) -> Tensor |
| 18691 | inline at::Tensor resize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18692 | return at::_ops::resize::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), memory_format); |
| 18693 | } |
| 18694 | |
| 18695 | // aten::resize(Tensor self, SymInt[] size, *, MemoryFormat? memory_format=None) -> Tensor |
| 18696 | inline at::Tensor resize_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18697 | return at::_ops::resize::redispatch(dispatchKeySet, self, size, memory_format); |
| 18698 | } |
| 18699 | |
| 18700 | // aten::_resize_output.out(Tensor self, int[] size, Device device, *, Tensor(a!) out) -> Tensor(a!) |
| 18701 | inline const at::Tensor & _resize_output_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, at::Device device) { |
| 18702 | return at::_ops::_resize_output_out::redispatch(dispatchKeySet, self, size, device, out); |
| 18703 | } |
| 18704 | |
| 18705 | // aten::_resize_output.out(Tensor self, int[] size, Device device, *, Tensor(a!) out) -> Tensor(a!) |
| 18706 | inline const at::Tensor & _resize_output_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Device device, const at::Tensor & out) { |
| 18707 | return at::_ops::_resize_output_out::redispatch(dispatchKeySet, self, size, device, out); |
| 18708 | } |
| 18709 | |
| 18710 | // aten::_resize_output(Tensor self, int[] size, Device device) -> Tensor |
| 18711 | inline at::Tensor _resize_output(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Device device) { |
| 18712 | return at::_ops::_resize_output::redispatch(dispatchKeySet, self, size, device); |
| 18713 | } |
| 18714 | |
| 18715 | // aten::empty_quantized.out(int[] size, Tensor qtensor, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18716 | inline at::Tensor & empty_quantized_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, const at::Tensor & qtensor, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18717 | return at::_ops::empty_quantized_out::redispatch(dispatchKeySet, size, qtensor, memory_format, out); |
| 18718 | } |
| 18719 | |
| 18720 | // aten::empty_quantized.out(int[] size, Tensor qtensor, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18721 | inline at::Tensor & empty_quantized_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Tensor & qtensor, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 18722 | return at::_ops::empty_quantized_out::redispatch(dispatchKeySet, size, qtensor, memory_format, out); |
| 18723 | } |
| 18724 | |
| 18725 | // aten::empty_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18726 | inline at::Tensor & empty_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18727 | return at::_ops::empty_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 18728 | } |
| 18729 | |
| 18730 | // aten::empty_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18731 | inline at::Tensor & empty_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 18732 | return at::_ops::empty_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 18733 | } |
| 18734 | |
| 18735 | // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18736 | inline at::Tensor & empty_strided_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, at::IntArrayRef stride) { |
| 18737 | return at::_ops::empty_strided_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 18738 | } |
| 18739 | |
| 18740 | // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18741 | inline at::Tensor & empty_strided_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::IntArrayRef stride, at::Tensor & out) { |
| 18742 | return at::_ops::empty_strided_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 18743 | } |
| 18744 | |
| 18745 | // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18746 | inline at::Tensor & empty_strided_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) { |
| 18747 | return at::_ops::empty_strided_out::redispatch(dispatchKeySet, size, stride, out); |
| 18748 | } |
| 18749 | |
| 18750 | // aten::empty_strided.out(SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 18751 | inline at::Tensor & empty_strided_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::Tensor & out) { |
| 18752 | return at::_ops::empty_strided_out::redispatch(dispatchKeySet, size, stride, out); |
| 18753 | } |
| 18754 | |
| 18755 | // aten::fill.Scalar_out(Tensor self, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 18756 | inline at::Tensor & fill_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & value) { |
| 18757 | return at::_ops::fill_Scalar_out::redispatch(dispatchKeySet, self, value, out); |
| 18758 | } |
| 18759 | |
| 18760 | // aten::fill.Scalar_out(Tensor self, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 18761 | inline at::Tensor & fill_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & value, at::Tensor & out) { |
| 18762 | return at::_ops::fill_Scalar_out::redispatch(dispatchKeySet, self, value, out); |
| 18763 | } |
| 18764 | |
| 18765 | // aten::fill.Tensor_out(Tensor self, Tensor value, *, Tensor(a!) out) -> Tensor(a!) |
| 18766 | inline at::Tensor & fill_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & value) { |
| 18767 | return at::_ops::fill_Tensor_out::redispatch(dispatchKeySet, self, value, out); |
| 18768 | } |
| 18769 | |
| 18770 | // aten::fill.Tensor_out(Tensor self, Tensor value, *, Tensor(a!) out) -> Tensor(a!) |
| 18771 | inline at::Tensor & fill_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & value, at::Tensor & out) { |
| 18772 | return at::_ops::fill_Tensor_out::redispatch(dispatchKeySet, self, value, out); |
| 18773 | } |
| 18774 | |
| 18775 | // aten::full.names_out(int[] size, Scalar fill_value, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 18776 | inline at::Tensor & full_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::DimnameList> names) { |
| 18777 | return at::_ops::full_names_out::redispatch(dispatchKeySet, size, fill_value, names, out); |
| 18778 | } |
| 18779 | |
| 18780 | // aten::full.names_out(int[] size, Scalar fill_value, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 18781 | inline at::Tensor & full_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 18782 | return at::_ops::full_names_out::redispatch(dispatchKeySet, size, fill_value, names, out); |
| 18783 | } |
| 18784 | |
| 18785 | // aten::full_like.out(Tensor self, Scalar fill_value, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18786 | inline at::Tensor & full_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & fill_value, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 18787 | return at::_ops::full_like_out::redispatch(dispatchKeySet, self, fill_value, memory_format, out); |
| 18788 | } |
| 18789 | |
| 18790 | // aten::full_like.out(Tensor self, Scalar fill_value, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 18791 | inline at::Tensor & full_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & fill_value, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 18792 | return at::_ops::full_like_out::redispatch(dispatchKeySet, self, fill_value, memory_format, out); |
| 18793 | } |
| 18794 | |
| 18795 | // aten::from_file.out(str filename, bool? shared=None, int? size=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18796 | inline at::Tensor & from_file_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::string_view filename, c10::optional<bool> shared=c10::nullopt, c10::optional<int64_t> size=0) { |
| 18797 | return at::_ops::from_file_out::redispatch(dispatchKeySet, filename, shared, size, out); |
| 18798 | } |
| 18799 | |
| 18800 | // aten::from_file.out(str filename, bool? shared=None, int? size=0, *, Tensor(a!) out) -> Tensor(a!) |
| 18801 | inline at::Tensor & from_file_outf(c10::DispatchKeySet dispatchKeySet, c10::string_view filename, c10::optional<bool> shared, c10::optional<int64_t> size, at::Tensor & out) { |
| 18802 | return at::_ops::from_file_out::redispatch(dispatchKeySet, filename, shared, size, out); |
| 18803 | } |
| 18804 | |
| 18805 | // aten::grid_sampler_2d.out(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 18806 | inline at::Tensor & grid_sampler_2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 18807 | return at::_ops::grid_sampler_2d_out::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners, out); |
| 18808 | } |
| 18809 | |
| 18810 | // aten::grid_sampler_2d.out(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 18811 | inline at::Tensor & grid_sampler_2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, at::Tensor & out) { |
| 18812 | return at::_ops::grid_sampler_2d_out::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners, out); |
| 18813 | } |
| 18814 | |
| 18815 | // aten::grid_sampler_2d_backward.out(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18816 | inline ::std::tuple<at::Tensor &,at::Tensor &> grid_sampler_2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, ::std::array<bool,2> output_mask) { |
| 18817 | return at::_ops::grid_sampler_2d_backward_out::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners, output_mask, out0, out1); |
| 18818 | } |
| 18819 | |
| 18820 | // aten::grid_sampler_2d_backward.out(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18821 | inline ::std::tuple<at::Tensor &,at::Tensor &> grid_sampler_2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, ::std::array<bool,2> output_mask, at::Tensor & out0, at::Tensor & out1) { |
| 18822 | return at::_ops::grid_sampler_2d_backward_out::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners, output_mask, out0, out1); |
| 18823 | } |
| 18824 | |
| 18825 | // aten::_grid_sampler_2d_cpu_fallback.out(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 18826 | inline at::Tensor & _grid_sampler_2d_cpu_fallback_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 18827 | return at::_ops::_grid_sampler_2d_cpu_fallback_out::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners, out); |
| 18828 | } |
| 18829 | |
| 18830 | // aten::_grid_sampler_2d_cpu_fallback.out(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 18831 | inline at::Tensor & _grid_sampler_2d_cpu_fallback_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, at::Tensor & out) { |
| 18832 | return at::_ops::_grid_sampler_2d_cpu_fallback_out::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners, out); |
| 18833 | } |
| 18834 | |
| 18835 | // aten::grid_sampler_3d.out(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 18836 | inline at::Tensor & grid_sampler_3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 18837 | return at::_ops::grid_sampler_3d_out::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners, out); |
| 18838 | } |
| 18839 | |
| 18840 | // aten::grid_sampler_3d.out(Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, *, Tensor(a!) out) -> Tensor(a!) |
| 18841 | inline at::Tensor & grid_sampler_3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, at::Tensor & out) { |
| 18842 | return at::_ops::grid_sampler_3d_out::redispatch(dispatchKeySet, input, grid, interpolation_mode, padding_mode, align_corners, out); |
| 18843 | } |
| 18844 | |
| 18845 | // aten::grid_sampler_3d_backward.out(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18846 | inline ::std::tuple<at::Tensor &,at::Tensor &> grid_sampler_3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, ::std::array<bool,2> output_mask) { |
| 18847 | return at::_ops::grid_sampler_3d_backward_out::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners, output_mask, out0, out1); |
| 18848 | } |
| 18849 | |
| 18850 | // aten::grid_sampler_3d_backward.out(Tensor grad_output, Tensor input, Tensor grid, int interpolation_mode, int padding_mode, bool align_corners, bool[2] output_mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 18851 | inline ::std::tuple<at::Tensor &,at::Tensor &> grid_sampler_3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners, ::std::array<bool,2> output_mask, at::Tensor & out0, at::Tensor & out1) { |
| 18852 | return at::_ops::grid_sampler_3d_backward_out::redispatch(dispatchKeySet, grad_output, input, grid, interpolation_mode, padding_mode, align_corners, output_mask, out0, out1); |
| 18853 | } |
| 18854 | |
| 18855 | // aten::hann_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18856 | inline at::Tensor & hann_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length) { |
| 18857 | return at::_ops::hann_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18858 | } |
| 18859 | |
| 18860 | // aten::hann_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18861 | inline at::Tensor & hann_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::Tensor & out) { |
| 18862 | return at::_ops::hann_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18863 | } |
| 18864 | |
| 18865 | // aten::hann_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18866 | inline at::Tensor & hann_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic) { |
| 18867 | return at::_ops::hann_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18868 | } |
| 18869 | |
| 18870 | // aten::hann_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18871 | inline at::Tensor & hann_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::Tensor & out) { |
| 18872 | return at::_ops::hann_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18873 | } |
| 18874 | |
| 18875 | // aten::hamming_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18876 | inline at::Tensor & hamming_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length) { |
| 18877 | return at::_ops::hamming_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18878 | } |
| 18879 | |
| 18880 | // aten::hamming_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18881 | inline at::Tensor & hamming_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::Tensor & out) { |
| 18882 | return at::_ops::hamming_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18883 | } |
| 18884 | |
| 18885 | // aten::hamming_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18886 | inline at::Tensor & hamming_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic) { |
| 18887 | return at::_ops::hamming_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18888 | } |
| 18889 | |
| 18890 | // aten::hamming_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18891 | inline at::Tensor & hamming_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::Tensor & out) { |
| 18892 | return at::_ops::hamming_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18893 | } |
| 18894 | |
| 18895 | // aten::hamming_window.periodic_alpha_out(int window_length, bool periodic, float alpha, *, Tensor(a!) out) -> Tensor(a!) |
| 18896 | inline at::Tensor & hamming_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic, double alpha) { |
| 18897 | return at::_ops::hamming_window_periodic_alpha_out::redispatch(dispatchKeySet, window_length, periodic, alpha, out); |
| 18898 | } |
| 18899 | |
| 18900 | // aten::hamming_window.periodic_alpha_out(int window_length, bool periodic, float alpha, *, Tensor(a!) out) -> Tensor(a!) |
| 18901 | inline at::Tensor & hamming_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, at::Tensor & out) { |
| 18902 | return at::_ops::hamming_window_periodic_alpha_out::redispatch(dispatchKeySet, window_length, periodic, alpha, out); |
| 18903 | } |
| 18904 | |
| 18905 | // aten::hamming_window.periodic_alpha_beta_out(int window_length, bool periodic, float alpha, float beta, *, Tensor(a!) out) -> Tensor(a!) |
| 18906 | inline at::Tensor & hamming_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic, double alpha, double beta) { |
| 18907 | return at::_ops::hamming_window_periodic_alpha_beta_out::redispatch(dispatchKeySet, window_length, periodic, alpha, beta, out); |
| 18908 | } |
| 18909 | |
| 18910 | // aten::hamming_window.periodic_alpha_beta_out(int window_length, bool periodic, float alpha, float beta, *, Tensor(a!) out) -> Tensor(a!) |
| 18911 | inline at::Tensor & hamming_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double alpha, double beta, at::Tensor & out) { |
| 18912 | return at::_ops::hamming_window_periodic_alpha_beta_out::redispatch(dispatchKeySet, window_length, periodic, alpha, beta, out); |
| 18913 | } |
| 18914 | |
| 18915 | // aten::kaiser_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18916 | inline at::Tensor & kaiser_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length) { |
| 18917 | return at::_ops::kaiser_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18918 | } |
| 18919 | |
| 18920 | // aten::kaiser_window.out(int window_length, *, Tensor(a!) out) -> Tensor(a!) |
| 18921 | inline at::Tensor & kaiser_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, at::Tensor & out) { |
| 18922 | return at::_ops::kaiser_window_out::redispatch(dispatchKeySet, window_length, out); |
| 18923 | } |
| 18924 | |
| 18925 | // aten::kaiser_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18926 | inline at::Tensor & kaiser_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic) { |
| 18927 | return at::_ops::kaiser_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18928 | } |
| 18929 | |
| 18930 | // aten::kaiser_window.periodic_out(int window_length, bool periodic, *, Tensor(a!) out) -> Tensor(a!) |
| 18931 | inline at::Tensor & kaiser_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, at::Tensor & out) { |
| 18932 | return at::_ops::kaiser_window_periodic_out::redispatch(dispatchKeySet, window_length, periodic, out); |
| 18933 | } |
| 18934 | |
| 18935 | // aten::kaiser_window.beta_out(int window_length, bool periodic, float beta, *, Tensor(a!) out) -> Tensor(a!) |
| 18936 | inline at::Tensor & kaiser_window_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t window_length, bool periodic, double beta) { |
| 18937 | return at::_ops::kaiser_window_beta_out::redispatch(dispatchKeySet, window_length, periodic, beta, out); |
| 18938 | } |
| 18939 | |
| 18940 | // aten::kaiser_window.beta_out(int window_length, bool periodic, float beta, *, Tensor(a!) out) -> Tensor(a!) |
| 18941 | inline at::Tensor & kaiser_window_outf(c10::DispatchKeySet dispatchKeySet, int64_t window_length, bool periodic, double beta, at::Tensor & out) { |
| 18942 | return at::_ops::kaiser_window_beta_out::redispatch(dispatchKeySet, window_length, periodic, beta, out); |
| 18943 | } |
| 18944 | |
| 18945 | // aten::native_group_norm.out(Tensor input, Tensor? weight, Tensor? bias, SymInt N, SymInt C, SymInt HxW, int group, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18946 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, int64_t N, int64_t C, int64_t HxW, int64_t group, double eps) { |
| 18947 | return at::_ops::native_group_norm_out::redispatch(dispatchKeySet, input, weight, bias, N, C, HxW, group, eps, out0, out1, out2); |
| 18948 | } |
| 18949 | |
| 18950 | // aten::native_group_norm.out(Tensor input, Tensor? weight, Tensor? bias, SymInt N, SymInt C, SymInt HxW, int group, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18951 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, int64_t N, int64_t C, int64_t HxW, int64_t group, double eps, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18952 | return at::_ops::native_group_norm_out::redispatch(dispatchKeySet, input, weight, bias, N, C, HxW, group, eps, out0, out1, out2); |
| 18953 | } |
| 18954 | |
| 18955 | // aten::native_group_norm.out(Tensor input, Tensor? weight, Tensor? bias, SymInt N, SymInt C, SymInt HxW, int group, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18956 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, c10::SymInt N, c10::SymInt C, c10::SymInt HxW, int64_t group, double eps) { |
| 18957 | return at::_ops::native_group_norm_out::redispatch(dispatchKeySet, input, weight, bias, N, C, HxW, group, eps, out0, out1, out2); |
| 18958 | } |
| 18959 | |
| 18960 | // aten::native_group_norm.out(Tensor input, Tensor? weight, Tensor? bias, SymInt N, SymInt C, SymInt HxW, int group, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18961 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, c10::SymInt N, c10::SymInt C, c10::SymInt HxW, int64_t group, double eps, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18962 | return at::_ops::native_group_norm_out::redispatch(dispatchKeySet, input, weight, bias, N, C, HxW, group, eps, out0, out1, out2); |
| 18963 | } |
| 18964 | |
| 18965 | // aten::native_group_norm_backward.out(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, Tensor? weight, SymInt N, SymInt C, SymInt HxW, int group, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18966 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, int64_t N, int64_t C, int64_t HxW, int64_t group, ::std::array<bool,3> output_mask) { |
| 18967 | return at::_ops::native_group_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask, out0, out1, out2); |
| 18968 | } |
| 18969 | |
| 18970 | // aten::native_group_norm_backward.out(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, Tensor? weight, SymInt N, SymInt C, SymInt HxW, int group, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18971 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, int64_t N, int64_t C, int64_t HxW, int64_t group, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18972 | return at::_ops::native_group_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask, out0, out1, out2); |
| 18973 | } |
| 18974 | |
| 18975 | // aten::native_group_norm_backward.out(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, Tensor? weight, SymInt N, SymInt C, SymInt HxW, int group, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18976 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, c10::SymInt N, c10::SymInt C, c10::SymInt HxW, int64_t group, ::std::array<bool,3> output_mask) { |
| 18977 | return at::_ops::native_group_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask, out0, out1, out2); |
| 18978 | } |
| 18979 | |
| 18980 | // aten::native_group_norm_backward.out(Tensor grad_out, Tensor input, Tensor mean, Tensor rstd, Tensor? weight, SymInt N, SymInt C, SymInt HxW, int group, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 18981 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_group_norm_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, c10::SymInt N, c10::SymInt C, c10::SymInt HxW, int64_t group, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 18982 | return at::_ops::native_group_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, mean, rstd, weight, N, C, HxW, group, output_mask, out0, out1, out2); |
| 18983 | } |
| 18984 | |
| 18985 | // aten::index_put.out(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18986 | inline at::Tensor & index_put_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false) { |
| 18987 | return at::_ops::index_put_out::redispatch(dispatchKeySet, self, indices, values, accumulate, out); |
| 18988 | } |
| 18989 | |
| 18990 | // aten::index_put.out(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18991 | inline at::Tensor & index_put_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate, at::Tensor & out) { |
| 18992 | return at::_ops::index_put_out::redispatch(dispatchKeySet, self, indices, values, accumulate, out); |
| 18993 | } |
| 18994 | |
| 18995 | // aten::_index_put_impl.out(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False, *, Tensor(a!) out) -> Tensor(a!) |
| 18996 | inline at::Tensor & _index_put_impl_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false) { |
| 18997 | return at::_ops::_index_put_impl_out::redispatch(dispatchKeySet, self, indices, values, accumulate, unsafe, out); |
| 18998 | } |
| 18999 | |
| 19000 | // aten::_index_put_impl.out(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19001 | inline at::Tensor & _index_put_impl_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate, bool unsafe, at::Tensor & out) { |
| 19002 | return at::_ops::_index_put_impl_out::redispatch(dispatchKeySet, self, indices, values, accumulate, unsafe, out); |
| 19003 | } |
| 19004 | |
| 19005 | // aten::_index_put_impl(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False, bool unsafe=False) -> Tensor |
| 19006 | inline at::Tensor _index_put_impl(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false, bool unsafe=false) { |
| 19007 | return at::_ops::_index_put_impl::redispatch(dispatchKeySet, self, indices, values, accumulate, unsafe); |
| 19008 | } |
| 19009 | |
| 19010 | // aten::isnan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19011 | inline at::Tensor & isnan_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 19012 | return at::_ops::isnan_out::redispatch(dispatchKeySet, self, out); |
| 19013 | } |
| 19014 | |
| 19015 | // aten::isnan.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19016 | inline at::Tensor & isnan_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 19017 | return at::_ops::isnan_out::redispatch(dispatchKeySet, self, out); |
| 19018 | } |
| 19019 | |
| 19020 | // aten::native_layer_norm.out(Tensor input, SymInt[] normalized_shape, Tensor? weight, Tensor? bias, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19021 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input, at::IntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps) { |
| 19022 | return at::_ops::native_layer_norm_out::redispatch(dispatchKeySet, input, c10::fromIntArrayRefSlow(normalized_shape), weight, bias, eps, out0, out1, out2); |
| 19023 | } |
| 19024 | |
| 19025 | // aten::native_layer_norm.out(Tensor input, SymInt[] normalized_shape, Tensor? weight, Tensor? bias, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19026 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::IntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19027 | return at::_ops::native_layer_norm_out::redispatch(dispatchKeySet, input, c10::fromIntArrayRefSlow(normalized_shape), weight, bias, eps, out0, out1, out2); |
| 19028 | } |
| 19029 | |
| 19030 | // aten::native_layer_norm.out(Tensor input, SymInt[] normalized_shape, Tensor? weight, Tensor? bias, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19031 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps) { |
| 19032 | return at::_ops::native_layer_norm_out::redispatch(dispatchKeySet, input, normalized_shape, weight, bias, eps, out0, out1, out2); |
| 19033 | } |
| 19034 | |
| 19035 | // aten::native_layer_norm.out(Tensor input, SymInt[] normalized_shape, Tensor? weight, Tensor? bias, float eps, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19036 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19037 | return at::_ops::native_layer_norm_out::redispatch(dispatchKeySet, input, normalized_shape, weight, bias, eps, out0, out1, out2); |
| 19038 | } |
| 19039 | |
| 19040 | // aten::native_layer_norm_backward.out(Tensor grad_out, Tensor input, SymInt[] normalized_shape, Tensor mean, Tensor rstd, Tensor? weight, Tensor? bias, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19041 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_out, const at::Tensor & input, at::IntArrayRef normalized_shape, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, ::std::array<bool,3> output_mask) { |
| 19042 | return at::_ops::native_layer_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, c10::fromIntArrayRefSlow(normalized_shape), mean, rstd, weight, bias, output_mask, out0, out1, out2); |
| 19043 | } |
| 19044 | |
| 19045 | // aten::native_layer_norm_backward.out(Tensor grad_out, Tensor input, SymInt[] normalized_shape, Tensor mean, Tensor rstd, Tensor? weight, Tensor? bias, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19046 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, at::IntArrayRef normalized_shape, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19047 | return at::_ops::native_layer_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, c10::fromIntArrayRefSlow(normalized_shape), mean, rstd, weight, bias, output_mask, out0, out1, out2); |
| 19048 | } |
| 19049 | |
| 19050 | // aten::native_layer_norm_backward.out(Tensor grad_out, Tensor input, SymInt[] normalized_shape, Tensor mean, Tensor rstd, Tensor? weight, Tensor? bias, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19051 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_out, const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, ::std::array<bool,3> output_mask) { |
| 19052 | return at::_ops::native_layer_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, normalized_shape, mean, rstd, weight, bias, output_mask, out0, out1, out2); |
| 19053 | } |
| 19054 | |
| 19055 | // aten::native_layer_norm_backward.out(Tensor grad_out, Tensor input, SymInt[] normalized_shape, Tensor mean, Tensor rstd, Tensor? weight, Tensor? bias, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19056 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_layer_norm_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const at::Tensor & mean, const at::Tensor & rstd, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19057 | return at::_ops::native_layer_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, normalized_shape, mean, rstd, weight, bias, output_mask, out0, out1, out2); |
| 19058 | } |
| 19059 | |
| 19060 | // aten::linear_backward.out(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19061 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linear_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask) { |
| 19062 | return at::_ops::linear_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, output_mask, out0, out1, out2); |
| 19063 | } |
| 19064 | |
| 19065 | // aten::linear_backward.out(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19066 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linear_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19067 | return at::_ops::linear_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, output_mask, out0, out1, out2); |
| 19068 | } |
| 19069 | |
| 19070 | // aten::mkldnn_linear.out(Tensor self, Tensor weight, Tensor? bias=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19071 | inline at::Tensor & mkldnn_linear_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias={}) { |
| 19072 | return at::_ops::mkldnn_linear_out::redispatch(dispatchKeySet, self, weight, bias, out); |
| 19073 | } |
| 19074 | |
| 19075 | // aten::mkldnn_linear.out(Tensor self, Tensor weight, Tensor? bias=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19076 | inline at::Tensor & mkldnn_linear_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::Tensor & out) { |
| 19077 | return at::_ops::mkldnn_linear_out::redispatch(dispatchKeySet, self, weight, bias, out); |
| 19078 | } |
| 19079 | |
| 19080 | // aten::mkldnn_linear_backward_input.out(int[] input_size, Tensor grad_output, Tensor weight, *, Tensor(a!) out) -> Tensor(a!) |
| 19081 | inline at::Tensor & mkldnn_linear_backward_input_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef input_size, const at::Tensor & grad_output, const at::Tensor & weight) { |
| 19082 | return at::_ops::mkldnn_linear_backward_input_out::redispatch(dispatchKeySet, input_size, grad_output, weight, out); |
| 19083 | } |
| 19084 | |
| 19085 | // aten::mkldnn_linear_backward_input.out(int[] input_size, Tensor grad_output, Tensor weight, *, Tensor(a!) out) -> Tensor(a!) |
| 19086 | inline at::Tensor & mkldnn_linear_backward_input_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef input_size, const at::Tensor & grad_output, const at::Tensor & weight, at::Tensor & out) { |
| 19087 | return at::_ops::mkldnn_linear_backward_input_out::redispatch(dispatchKeySet, input_size, grad_output, weight, out); |
| 19088 | } |
| 19089 | |
| 19090 | // aten::mkldnn_linear_backward_weights.out(Tensor grad_output, Tensor input, Tensor weight, bool bias_defined, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19091 | inline ::std::tuple<at::Tensor &,at::Tensor &> mkldnn_linear_backward_weights_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined) { |
| 19092 | return at::_ops::mkldnn_linear_backward_weights_out::redispatch(dispatchKeySet, grad_output, input, weight, bias_defined, out0, out1); |
| 19093 | } |
| 19094 | |
| 19095 | // aten::mkldnn_linear_backward_weights.out(Tensor grad_output, Tensor input, Tensor weight, bool bias_defined, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19096 | inline ::std::tuple<at::Tensor &,at::Tensor &> mkldnn_linear_backward_weights_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & weight, bool bias_defined, at::Tensor & out0, at::Tensor & out1) { |
| 19097 | return at::_ops::mkldnn_linear_backward_weights_out::redispatch(dispatchKeySet, grad_output, input, weight, bias_defined, out0, out1); |
| 19098 | } |
| 19099 | |
| 19100 | // aten::mkldnn_linear_backward.out(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19101 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> mkldnn_linear_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask) { |
| 19102 | return at::_ops::mkldnn_linear_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, output_mask, out0, out1, out2); |
| 19103 | } |
| 19104 | |
| 19105 | // aten::mkldnn_linear_backward.out(Tensor self, Tensor grad_output, Tensor weight, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19106 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> mkldnn_linear_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19107 | return at::_ops::mkldnn_linear_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, output_mask, out0, out1, out2); |
| 19108 | } |
| 19109 | |
| 19110 | // aten::matmul_backward.out(Tensor grad, Tensor self, Tensor other, bool[2] mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19111 | inline ::std::tuple<at::Tensor &,at::Tensor &> matmul_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & grad, const at::Tensor & self, const at::Tensor & other, ::std::array<bool,2> mask) { |
| 19112 | return at::_ops::matmul_backward_out::redispatch(dispatchKeySet, grad, self, other, mask, out0, out1); |
| 19113 | } |
| 19114 | |
| 19115 | // aten::matmul_backward.out(Tensor grad, Tensor self, Tensor other, bool[2] mask, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19116 | inline ::std::tuple<at::Tensor &,at::Tensor &> matmul_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, const at::Tensor & other, ::std::array<bool,2> mask, at::Tensor & out0, at::Tensor & out1) { |
| 19117 | return at::_ops::matmul_backward_out::redispatch(dispatchKeySet, grad, self, other, mask, out0, out1); |
| 19118 | } |
| 19119 | |
| 19120 | // aten::_aminmax.out(Tensor self, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19121 | inline ::std::tuple<at::Tensor &,at::Tensor &> _aminmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self) { |
| 19122 | return at::_ops::_aminmax_out::redispatch(dispatchKeySet, self, out0, out1); |
| 19123 | } |
| 19124 | |
| 19125 | // aten::_aminmax.out(Tensor self, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19126 | inline ::std::tuple<at::Tensor &,at::Tensor &> _aminmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out0, at::Tensor & out1) { |
| 19127 | return at::_ops::_aminmax_out::redispatch(dispatchKeySet, self, out0, out1); |
| 19128 | } |
| 19129 | |
| 19130 | // aten::_aminmax.dim_out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19131 | inline ::std::tuple<at::Tensor &,at::Tensor &> _aminmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, int64_t dim, bool keepdim=false) { |
| 19132 | return at::_ops::_aminmax_dim_out::redispatch(dispatchKeySet, self, dim, keepdim, out0, out1); |
| 19133 | } |
| 19134 | |
| 19135 | // aten::_aminmax.dim_out(Tensor self, int dim, bool keepdim=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19136 | inline ::std::tuple<at::Tensor &,at::Tensor &> _aminmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool keepdim, at::Tensor & out0, at::Tensor & out1) { |
| 19137 | return at::_ops::_aminmax_dim_out::redispatch(dispatchKeySet, self, dim, keepdim, out0, out1); |
| 19138 | } |
| 19139 | |
| 19140 | // aten::_mps_max_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19141 | inline at::Tensor & _mps_max_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19142 | return at::_ops::_mps_max_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19143 | } |
| 19144 | |
| 19145 | // aten::_mps_max_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19146 | inline at::Tensor & _mps_max_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19147 | return at::_ops::_mps_max_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19148 | } |
| 19149 | |
| 19150 | // aten::mps_max_pool2d_backward.out(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19151 | inline at::Tensor & mps_max_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19152 | return at::_ops::mps_max_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19153 | } |
| 19154 | |
| 19155 | // aten::mps_max_pool2d_backward.out(Tensor grad_output, Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19156 | inline at::Tensor & mps_max_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19157 | return at::_ops::mps_max_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19158 | } |
| 19159 | |
| 19160 | // aten::mkldnn_max_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19161 | inline at::Tensor & mkldnn_max_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19162 | return at::_ops::mkldnn_max_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19163 | } |
| 19164 | |
| 19165 | // aten::mkldnn_max_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19166 | inline at::Tensor & mkldnn_max_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19167 | return at::_ops::mkldnn_max_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19168 | } |
| 19169 | |
| 19170 | // aten::mkldnn_max_pool2d_backward.out(Tensor grad_output, Tensor output, Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19171 | inline at::Tensor & mkldnn_max_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19172 | return at::_ops::mkldnn_max_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19173 | } |
| 19174 | |
| 19175 | // aten::mkldnn_max_pool2d_backward.out(Tensor grad_output, Tensor output, Tensor input, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19176 | inline at::Tensor & mkldnn_max_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19177 | return at::_ops::mkldnn_max_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19178 | } |
| 19179 | |
| 19180 | // aten::mkldnn_max_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19181 | inline at::Tensor & mkldnn_max_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19182 | return at::_ops::mkldnn_max_pool3d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19183 | } |
| 19184 | |
| 19185 | // aten::mkldnn_max_pool3d.out(Tensor self, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19186 | inline at::Tensor & mkldnn_max_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19187 | return at::_ops::mkldnn_max_pool3d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19188 | } |
| 19189 | |
| 19190 | // aten::mkldnn_max_pool3d_backward.out(Tensor grad_output, Tensor output, Tensor input, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19191 | inline at::Tensor & mkldnn_max_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19192 | return at::_ops::mkldnn_max_pool3d_backward_out::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19193 | } |
| 19194 | |
| 19195 | // aten::mkldnn_max_pool3d_backward.out(Tensor grad_output, Tensor output, Tensor input, int[3] kernel_size, int[3] stride=[], int[3] padding=0, int[3] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19196 | inline at::Tensor & mkldnn_max_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & input, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19197 | return at::_ops::mkldnn_max_pool3d_backward_out::redispatch(dispatchKeySet, grad_output, output, input, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19198 | } |
| 19199 | |
| 19200 | // aten::quantized_max_pool1d.out(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19201 | inline at::Tensor & quantized_max_pool1d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19202 | return at::_ops::quantized_max_pool1d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19203 | } |
| 19204 | |
| 19205 | // aten::quantized_max_pool1d.out(Tensor self, int[1] kernel_size, int[1] stride=[], int[1] padding=0, int[1] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19206 | inline at::Tensor & quantized_max_pool1d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19207 | return at::_ops::quantized_max_pool1d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19208 | } |
| 19209 | |
| 19210 | // aten::quantized_max_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19211 | inline at::Tensor & quantized_max_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false) { |
| 19212 | return at::_ops::quantized_max_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19213 | } |
| 19214 | |
| 19215 | // aten::quantized_max_pool2d.out(Tensor self, int[2] kernel_size, int[2] stride=[], int[2] padding=0, int[2] dilation=1, bool ceil_mode=False, *, Tensor(a!) out) -> Tensor(a!) |
| 19216 | inline at::Tensor & quantized_max_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out) { |
| 19217 | return at::_ops::quantized_max_pool2d_out::redispatch(dispatchKeySet, self, kernel_size, stride, padding, dilation, ceil_mode, out); |
| 19218 | } |
| 19219 | |
| 19220 | // aten::median.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19221 | inline at::Tensor & median_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 19222 | return at::_ops::median_out::redispatch(dispatchKeySet, self, out); |
| 19223 | } |
| 19224 | |
| 19225 | // aten::median.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19226 | inline at::Tensor & median_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 19227 | return at::_ops::median_out::redispatch(dispatchKeySet, self, out); |
| 19228 | } |
| 19229 | |
| 19230 | // aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19231 | inline at::Tensor & nanmedian_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 19232 | return at::_ops::nanmedian_out::redispatch(dispatchKeySet, self, out); |
| 19233 | } |
| 19234 | |
| 19235 | // aten::nanmedian.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19236 | inline at::Tensor & nanmedian_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 19237 | return at::_ops::nanmedian_out::redispatch(dispatchKeySet, self, out); |
| 19238 | } |
| 19239 | |
| 19240 | // aten::_mps_convolution.out(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19241 | inline at::Tensor & _mps_convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 19242 | return at::_ops::_mps_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, out); |
| 19243 | } |
| 19244 | |
| 19245 | // aten::_mps_convolution.out(Tensor self, Tensor weight, Tensor? bias, int[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19246 | inline at::Tensor & _mps_convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, at::Tensor & out) { |
| 19247 | return at::_ops::_mps_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, out); |
| 19248 | } |
| 19249 | |
| 19250 | // aten::mps_convolution_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19251 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> mps_convolution_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, ::std::array<bool,3> output_mask) { |
| 19252 | return at::_ops::mps_convolution_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, padding, stride, dilation, groups, output_mask, out0, out1, out2); |
| 19253 | } |
| 19254 | |
| 19255 | // aten::mps_convolution_backward.out(Tensor self, Tensor grad_output, Tensor weight, int[] padding, int[] stride, int[] dilation, int groups, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19256 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> mps_convolution_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & grad_output, const at::Tensor & weight, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19257 | return at::_ops::mps_convolution_backward_out::redispatch(dispatchKeySet, self, grad_output, weight, padding, stride, dilation, groups, output_mask, out0, out1, out2); |
| 19258 | } |
| 19259 | |
| 19260 | // aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19261 | inline at::Tensor & mkldnn_convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 19262 | return at::_ops::mkldnn_convolution_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, out); |
| 19263 | } |
| 19264 | |
| 19265 | // aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19266 | inline at::Tensor & mkldnn_convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, at::Tensor & out) { |
| 19267 | return at::_ops::mkldnn_convolution_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, out); |
| 19268 | } |
| 19269 | |
| 19270 | // aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19271 | inline at::Tensor & mkldnn_convolution_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups) { |
| 19272 | return at::_ops::mkldnn_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, out); |
| 19273 | } |
| 19274 | |
| 19275 | // aten::mkldnn_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19276 | inline at::Tensor & mkldnn_convolution_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, at::Tensor & out) { |
| 19277 | return at::_ops::mkldnn_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, out); |
| 19278 | } |
| 19279 | |
| 19280 | // aten::mkldnn_rnn_layer.out(Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, bool reverse, int[] batch_sizes, int mode, int hidden_size, int num_layers, bool has_biases, bool bidirectional, bool batch_first, bool train, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 19281 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> mkldnn_rnn_layer_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, const at::Tensor & input, const at::Tensor & weight0, const at::Tensor & weight1, const at::Tensor & weight2, const at::Tensor & weight3, const at::Tensor & hx_, const at::Tensor & cx_, bool reverse, at::IntArrayRef batch_sizes, int64_t mode, int64_t hidden_size, int64_t num_layers, bool has_biases, bool bidirectional, bool batch_first, bool train) { |
| 19282 | return at::_ops::mkldnn_rnn_layer_out::redispatch(dispatchKeySet, input, weight0, weight1, weight2, weight3, hx_, cx_, reverse, batch_sizes, mode, hidden_size, num_layers, has_biases, bidirectional, batch_first, train, out0, out1, out2, out3); |
| 19283 | } |
| 19284 | |
| 19285 | // aten::mkldnn_rnn_layer.out(Tensor input, Tensor weight0, Tensor weight1, Tensor weight2, Tensor weight3, Tensor hx_, Tensor cx_, bool reverse, int[] batch_sizes, int mode, int hidden_size, int num_layers, bool has_biases, bool bidirectional, bool batch_first, bool train, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 19286 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> mkldnn_rnn_layer_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight0, const at::Tensor & weight1, const at::Tensor & weight2, const at::Tensor & weight3, const at::Tensor & hx_, const at::Tensor & cx_, bool reverse, at::IntArrayRef batch_sizes, int64_t mode, int64_t hidden_size, int64_t num_layers, bool has_biases, bool bidirectional, bool batch_first, bool train, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3) { |
| 19287 | return at::_ops::mkldnn_rnn_layer_out::redispatch(dispatchKeySet, input, weight0, weight1, weight2, weight3, hx_, cx_, reverse, batch_sizes, mode, hidden_size, num_layers, has_biases, bidirectional, batch_first, train, out0, out1, out2, out3); |
| 19288 | } |
| 19289 | |
| 19290 | // aten::mkldnn_rnn_layer_backward.out(Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, bool reverse, int mode, int hidden_size, int num_layers, bool has_biases, bool train, bool bidirectional, int[] batch_sizes, bool batch_first, Tensor workspace, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4, Tensor(f!) out5, Tensor(g!) out6) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!), Tensor(f!), Tensor(g!)) |
| 19291 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> mkldnn_rnn_layer_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, at::Tensor & out5, at::Tensor & out6, const at::Tensor & input, const at::Tensor & weight1, const at::Tensor & weight2, const at::Tensor & weight3, const at::Tensor & weight4, const at::Tensor & hx_, const at::Tensor & cx_tmp, const at::Tensor & output, const at::Tensor & hy_, const at::Tensor & cy_, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, bool reverse, int64_t mode, int64_t hidden_size, int64_t num_layers, bool has_biases, bool train, bool bidirectional, at::IntArrayRef batch_sizes, bool batch_first, const at::Tensor & workspace) { |
| 19292 | return at::_ops::mkldnn_rnn_layer_backward_out::redispatch(dispatchKeySet, input, weight1, weight2, weight3, weight4, hx_, cx_tmp, output, hy_, cy_, grad_output, grad_hy, grad_cy, reverse, mode, hidden_size, num_layers, has_biases, train, bidirectional, batch_sizes, batch_first, workspace, out0, out1, out2, out3, out4, out5, out6); |
| 19293 | } |
| 19294 | |
| 19295 | // aten::mkldnn_rnn_layer_backward.out(Tensor input, Tensor weight1, Tensor weight2, Tensor weight3, Tensor weight4, Tensor hx_, Tensor cx_tmp, Tensor output, Tensor hy_, Tensor cy_, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, bool reverse, int mode, int hidden_size, int num_layers, bool has_biases, bool train, bool bidirectional, int[] batch_sizes, bool batch_first, Tensor workspace, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4, Tensor(f!) out5, Tensor(g!) out6) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!), Tensor(f!), Tensor(g!)) |
| 19296 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> mkldnn_rnn_layer_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight1, const at::Tensor & weight2, const at::Tensor & weight3, const at::Tensor & weight4, const at::Tensor & hx_, const at::Tensor & cx_tmp, const at::Tensor & output, const at::Tensor & hy_, const at::Tensor & cy_, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, bool reverse, int64_t mode, int64_t hidden_size, int64_t num_layers, bool has_biases, bool train, bool bidirectional, at::IntArrayRef batch_sizes, bool batch_first, const at::Tensor & workspace, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, at::Tensor & out5, at::Tensor & out6) { |
| 19297 | return at::_ops::mkldnn_rnn_layer_backward_out::redispatch(dispatchKeySet, input, weight1, weight2, weight3, weight4, hx_, cx_tmp, output, hy_, cy_, grad_output, grad_hy, grad_cy, reverse, mode, hidden_size, num_layers, has_biases, train, bidirectional, batch_sizes, batch_first, workspace, out0, out1, out2, out3, out4, out5, out6); |
| 19298 | } |
| 19299 | |
| 19300 | // aten::miopen_batch_norm.out(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19301 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> miopen_batch_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon) { |
| 19302 | return at::_ops::miopen_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon, out0, out1, out2); |
| 19303 | } |
| 19304 | |
| 19305 | // aten::miopen_batch_norm.out(Tensor input, Tensor weight, Tensor? bias, Tensor? running_mean, Tensor? running_var, bool training, float exponential_average_factor, float epsilon, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19306 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> miopen_batch_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, bool training, double exponential_average_factor, double epsilon, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19307 | return at::_ops::miopen_batch_norm_out::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, exponential_average_factor, epsilon, out0, out1, out2); |
| 19308 | } |
| 19309 | |
| 19310 | // aten::miopen_batch_norm_backward.out(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19311 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> miopen_batch_norm_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon) { |
| 19312 | return at::_ops::miopen_batch_norm_backward_out::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, out0, out1, out2); |
| 19313 | } |
| 19314 | |
| 19315 | // aten::miopen_batch_norm_backward.out(Tensor input, Tensor grad_output, Tensor weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_var, float epsilon, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19316 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> miopen_batch_norm_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & grad_output, const at::Tensor & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_var, double epsilon, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19317 | return at::_ops::miopen_batch_norm_backward_out::redispatch(dispatchKeySet, input, grad_output, weight, running_mean, running_var, save_mean, save_var, epsilon, out0, out1, out2); |
| 19318 | } |
| 19319 | |
| 19320 | // aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19321 | inline at::Tensor & miopen_convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 19322 | return at::_ops::miopen_convolution_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, benchmark, deterministic, out); |
| 19323 | } |
| 19324 | |
| 19325 | // aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19326 | inline at::Tensor & miopen_convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, at::Tensor & out) { |
| 19327 | return at::_ops::miopen_convolution_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, benchmark, deterministic, out); |
| 19328 | } |
| 19329 | |
| 19330 | // aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19331 | inline at::Tensor & miopen_convolution_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 19332 | return at::_ops::miopen_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic, out); |
| 19333 | } |
| 19334 | |
| 19335 | // aten::miopen_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19336 | inline at::Tensor & miopen_convolution_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, at::Tensor & out) { |
| 19337 | return at::_ops::miopen_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic, out); |
| 19338 | } |
| 19339 | |
| 19340 | // aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19341 | inline at::Tensor & miopen_convolution_transpose_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 19342 | return at::_ops::miopen_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), stride, dilation, groups, benchmark, deterministic, out); |
| 19343 | } |
| 19344 | |
| 19345 | // aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19346 | inline at::Tensor & miopen_convolution_transpose_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, at::Tensor & out) { |
| 19347 | return at::_ops::miopen_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), c10::fromIntArrayRefSlow(output_padding), stride, dilation, groups, benchmark, deterministic, out); |
| 19348 | } |
| 19349 | |
| 19350 | // aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19351 | inline at::Tensor & miopen_convolution_transpose_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 19352 | return at::_ops::miopen_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, bias, padding, output_padding, stride, dilation, groups, benchmark, deterministic, out); |
| 19353 | } |
| 19354 | |
| 19355 | // aten::miopen_convolution_transpose.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, SymInt[] output_padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19356 | inline at::Tensor & miopen_convolution_transpose_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, c10::SymIntArrayRef output_padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, at::Tensor & out) { |
| 19357 | return at::_ops::miopen_convolution_transpose_out::redispatch(dispatchKeySet, self, weight, bias, padding, output_padding, stride, dilation, groups, benchmark, deterministic, out); |
| 19358 | } |
| 19359 | |
| 19360 | // aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19361 | inline at::Tensor & miopen_depthwise_convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 19362 | return at::_ops::miopen_depthwise_convolution_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, benchmark, deterministic, out); |
| 19363 | } |
| 19364 | |
| 19365 | // aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19366 | inline at::Tensor & miopen_depthwise_convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, at::Tensor & out) { |
| 19367 | return at::_ops::miopen_depthwise_convolution_out::redispatch(dispatchKeySet, self, weight, bias, c10::fromIntArrayRefSlow(padding), stride, dilation, groups, benchmark, deterministic, out); |
| 19368 | } |
| 19369 | |
| 19370 | // aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19371 | inline at::Tensor & miopen_depthwise_convolution_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic) { |
| 19372 | return at::_ops::miopen_depthwise_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic, out); |
| 19373 | } |
| 19374 | |
| 19375 | // aten::miopen_depthwise_convolution.out(Tensor self, Tensor weight, Tensor? bias, SymInt[] padding, int[] stride, int[] dilation, int groups, bool benchmark, bool deterministic, *, Tensor(a!) out) -> Tensor(a!) |
| 19376 | inline at::Tensor & miopen_depthwise_convolution_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, bool benchmark, bool deterministic, at::Tensor & out) { |
| 19377 | return at::_ops::miopen_depthwise_convolution_out::redispatch(dispatchKeySet, self, weight, bias, padding, stride, dilation, groups, benchmark, deterministic, out); |
| 19378 | } |
| 19379 | |
| 19380 | // aten::miopen_rnn.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor hx, Tensor? cx, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 19381 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> miopen_rnn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state) { |
| 19382 | return at::_ops::miopen_rnn_out::redispatch(dispatchKeySet, input, weight, weight_stride0, hx, cx, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, out0, out1, out2, out3, out4); |
| 19383 | } |
| 19384 | |
| 19385 | // aten::miopen_rnn.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor hx, Tensor? cx, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 19386 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> miopen_rnn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4) { |
| 19387 | return at::_ops::miopen_rnn_out::redispatch(dispatchKeySet, input, weight, weight_stride0, hx, cx, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, out0, out1, out2, out3, out4); |
| 19388 | } |
| 19389 | |
| 19390 | // aten::miopen_rnn_backward.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!)[] out3) -> () |
| 19391 | inline void miopen_rnn_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::TensorList out3, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask) { |
| 19392 | return at::_ops::miopen_rnn_backward_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask, out0, out1, out2, out3); |
| 19393 | } |
| 19394 | |
| 19395 | // aten::miopen_rnn_backward.out(Tensor input, Tensor[] weight, int weight_stride0, Tensor weight_buf, Tensor hx, Tensor? cx, Tensor output, Tensor? grad_output, Tensor? grad_hy, Tensor? grad_cy, int mode, int hidden_size, int num_layers, bool batch_first, float dropout, bool train, bool bidirectional, int[] batch_sizes, Tensor? dropout_state, Tensor reserve, bool[4] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!)[] out3) -> () |
| 19396 | inline void miopen_rnn_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList weight, int64_t weight_stride0, const at::Tensor & weight_buf, const at::Tensor & hx, const c10::optional<at::Tensor> & cx, const at::Tensor & output, const c10::optional<at::Tensor> & grad_output, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, int64_t mode, int64_t hidden_size, int64_t num_layers, bool batch_first, double dropout, bool train, bool bidirectional, at::IntArrayRef batch_sizes, const c10::optional<at::Tensor> & dropout_state, const at::Tensor & reserve, ::std::array<bool,4> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::TensorList out3) { |
| 19397 | return at::_ops::miopen_rnn_backward_out::redispatch(dispatchKeySet, input, weight, weight_stride0, weight_buf, hx, cx, output, grad_output, grad_hy, grad_cy, mode, hidden_size, num_layers, batch_first, dropout, train, bidirectional, batch_sizes, dropout_state, reserve, output_mask, out0, out1, out2, out3); |
| 19398 | } |
| 19399 | |
| 19400 | // aten::_sparse_sparse_matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 19401 | inline at::Tensor & _sparse_sparse_matmul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 19402 | return at::_ops::_sparse_sparse_matmul_out::redispatch(dispatchKeySet, self, other, out); |
| 19403 | } |
| 19404 | |
| 19405 | // aten::_sparse_sparse_matmul.out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 19406 | inline at::Tensor & _sparse_sparse_matmul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 19407 | return at::_ops::_sparse_sparse_matmul_out::redispatch(dispatchKeySet, self, other, out); |
| 19408 | } |
| 19409 | |
| 19410 | // aten::mul.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 19411 | inline at::Tensor & mul_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 19412 | return at::_ops::mul_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 19413 | } |
| 19414 | |
| 19415 | // aten::mul.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 19416 | inline at::Tensor & mul_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 19417 | return at::_ops::mul_Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 19418 | } |
| 19419 | |
| 19420 | // aten::_native_batch_norm_legit_functional(Tensor input, Tensor? weight, Tensor? bias, Tensor running_mean, Tensor running_var, bool training, float momentum, float eps) -> (Tensor, Tensor, Tensor, Tensor running_mean_out, Tensor running_var_out) |
| 19421 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _native_batch_norm_legit_functional(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, const at::Tensor & running_mean, const at::Tensor & running_var, bool training, double momentum, double eps) { |
| 19422 | return at::_ops::_native_batch_norm_legit_functional::redispatch(dispatchKeySet, input, weight, bias, running_mean, running_var, training, momentum, eps); |
| 19423 | } |
| 19424 | |
| 19425 | // aten::batch_norm_stats.out(Tensor input, float eps, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19426 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_stats_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, double eps) { |
| 19427 | return at::_ops::batch_norm_stats_out::redispatch(dispatchKeySet, input, eps, out0, out1); |
| 19428 | } |
| 19429 | |
| 19430 | // aten::batch_norm_stats.out(Tensor input, float eps, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19431 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_stats_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double eps, at::Tensor & out0, at::Tensor & out1) { |
| 19432 | return at::_ops::batch_norm_stats_out::redispatch(dispatchKeySet, input, eps, out0, out1); |
| 19433 | } |
| 19434 | |
| 19435 | // aten::batch_norm_gather_stats.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19436 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, int64_t count) { |
| 19437 | return at::_ops::batch_norm_gather_stats_out::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, count, out0, out1); |
| 19438 | } |
| 19439 | |
| 19440 | // aten::batch_norm_gather_stats.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, int count, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19441 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, int64_t count, at::Tensor & out0, at::Tensor & out1) { |
| 19442 | return at::_ops::batch_norm_gather_stats_out::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, count, out0, out1); |
| 19443 | } |
| 19444 | |
| 19445 | // aten::batch_norm_gather_stats_with_counts.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, Tensor counts, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19446 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_with_counts_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, const at::Tensor & counts) { |
| 19447 | return at::_ops::batch_norm_gather_stats_with_counts_out::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, counts, out0, out1); |
| 19448 | } |
| 19449 | |
| 19450 | // aten::batch_norm_gather_stats_with_counts.out(Tensor input, Tensor mean, Tensor invstd, Tensor? running_mean, Tensor? running_var, float momentum, float eps, Tensor counts, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19451 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_gather_stats_with_counts_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, double eps, const at::Tensor & counts, at::Tensor & out0, at::Tensor & out1) { |
| 19452 | return at::_ops::batch_norm_gather_stats_with_counts_out::redispatch(dispatchKeySet, input, mean, invstd, running_mean, running_var, momentum, eps, counts, out0, out1); |
| 19453 | } |
| 19454 | |
| 19455 | // aten::native_batch_norm_backward.out(Tensor grad_out, Tensor input, Tensor? weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_invstd, bool train, float eps, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19456 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_batch_norm_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_invstd, bool train, double eps, ::std::array<bool,3> output_mask) { |
| 19457 | return at::_ops::native_batch_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask, out0, out1, out2); |
| 19458 | } |
| 19459 | |
| 19460 | // aten::native_batch_norm_backward.out(Tensor grad_out, Tensor input, Tensor? weight, Tensor? running_mean, Tensor? running_var, Tensor? save_mean, Tensor? save_invstd, bool train, float eps, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 19461 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> native_batch_norm_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, const c10::optional<at::Tensor> & save_mean, const c10::optional<at::Tensor> & save_invstd, bool train, double eps, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 19462 | return at::_ops::native_batch_norm_backward_out::redispatch(dispatchKeySet, grad_out, input, weight, running_mean, running_var, save_mean, save_invstd, train, eps, output_mask, out0, out1, out2); |
| 19463 | } |
| 19464 | |
| 19465 | // aten::batch_norm_backward_reduce.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, bool input_g, bool weight_g, bool bias_g, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 19466 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> batch_norm_backward_reduce_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, bool input_g, bool weight_g, bool bias_g) { |
| 19467 | return at::_ops::batch_norm_backward_reduce_out::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g, out0, out1, out2, out3); |
| 19468 | } |
| 19469 | |
| 19470 | // aten::batch_norm_backward_reduce.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, bool input_g, bool weight_g, bool bias_g, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 19471 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> batch_norm_backward_reduce_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, bool input_g, bool weight_g, bool bias_g, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3) { |
| 19472 | return at::_ops::batch_norm_backward_reduce_out::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, input_g, weight_g, bias_g, out0, out1, out2, out3); |
| 19473 | } |
| 19474 | |
| 19475 | // aten::batch_norm_backward_elemt.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count, *, Tensor(a!) out) -> Tensor(a!) |
| 19476 | inline at::Tensor & batch_norm_backward_elemt_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, const at::Tensor & mean_dy, const at::Tensor & mean_dy_xmu, const at::Tensor & count) { |
| 19477 | return at::_ops::batch_norm_backward_elemt_out::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count, out); |
| 19478 | } |
| 19479 | |
| 19480 | // aten::batch_norm_backward_elemt.out(Tensor grad_out, Tensor input, Tensor mean, Tensor invstd, Tensor? weight, Tensor mean_dy, Tensor mean_dy_xmu, Tensor count, *, Tensor(a!) out) -> Tensor(a!) |
| 19481 | inline at::Tensor & batch_norm_backward_elemt_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_out, const at::Tensor & input, const at::Tensor & mean, const at::Tensor & invstd, const c10::optional<at::Tensor> & weight, const at::Tensor & mean_dy, const at::Tensor & mean_dy_xmu, const at::Tensor & count, at::Tensor & out) { |
| 19482 | return at::_ops::batch_norm_backward_elemt_out::redispatch(dispatchKeySet, grad_out, input, mean, invstd, weight, mean_dy, mean_dy_xmu, count, out); |
| 19483 | } |
| 19484 | |
| 19485 | // aten::batch_norm_update_stats.out(Tensor input, Tensor? running_mean, Tensor? running_var, float momentum, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19486 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_update_stats_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum) { |
| 19487 | return at::_ops::batch_norm_update_stats_out::redispatch(dispatchKeySet, input, running_mean, running_var, momentum, out0, out1); |
| 19488 | } |
| 19489 | |
| 19490 | // aten::batch_norm_update_stats.out(Tensor input, Tensor? running_mean, Tensor? running_var, float momentum, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19491 | inline ::std::tuple<at::Tensor &,at::Tensor &> batch_norm_update_stats_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const c10::optional<at::Tensor> & running_mean, const c10::optional<at::Tensor> & running_var, double momentum, at::Tensor & out0, at::Tensor & out1) { |
| 19492 | return at::_ops::batch_norm_update_stats_out::redispatch(dispatchKeySet, input, running_mean, running_var, momentum, out0, out1); |
| 19493 | } |
| 19494 | |
| 19495 | // aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19496 | inline at::Tensor & _nnpack_spatial_convolution_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride=1) { |
| 19497 | return at::_ops::_nnpack_spatial_convolution_out::redispatch(dispatchKeySet, input, weight, bias, c10::fromIntArrayRefSlow(padding), stride, out); |
| 19498 | } |
| 19499 | |
| 19500 | // aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19501 | inline at::Tensor & _nnpack_spatial_convolution_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) { |
| 19502 | return at::_ops::_nnpack_spatial_convolution_out::redispatch(dispatchKeySet, input, weight, bias, c10::fromIntArrayRefSlow(padding), stride, out); |
| 19503 | } |
| 19504 | |
| 19505 | // aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19506 | inline at::Tensor & _nnpack_spatial_convolution_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride=1) { |
| 19507 | return at::_ops::_nnpack_spatial_convolution_out::redispatch(dispatchKeySet, input, weight, bias, padding, stride, out); |
| 19508 | } |
| 19509 | |
| 19510 | // aten::_nnpack_spatial_convolution.out(Tensor input, Tensor weight, Tensor? bias, SymInt[2] padding, int[2] stride=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19511 | inline at::Tensor & _nnpack_spatial_convolution_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, c10::SymIntArrayRef padding, at::IntArrayRef stride, at::Tensor & out) { |
| 19512 | return at::_ops::_nnpack_spatial_convolution_out::redispatch(dispatchKeySet, input, weight, bias, padding, stride, out); |
| 19513 | } |
| 19514 | |
| 19515 | // aten::ones.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19516 | inline at::Tensor & ones_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names) { |
| 19517 | return at::_ops::ones_names_out::redispatch(dispatchKeySet, size, names, out); |
| 19518 | } |
| 19519 | |
| 19520 | // aten::ones.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19521 | inline at::Tensor & ones_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19522 | return at::_ops::ones_names_out::redispatch(dispatchKeySet, size, names, out); |
| 19523 | } |
| 19524 | |
| 19525 | // aten::ones_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19526 | inline at::Tensor & ones_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 19527 | return at::_ops::ones_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 19528 | } |
| 19529 | |
| 19530 | // aten::ones_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19531 | inline at::Tensor & ones_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 19532 | return at::_ops::ones_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 19533 | } |
| 19534 | |
| 19535 | // aten::_euclidean_dist.out(Tensor x1, Tensor x2, *, Tensor(a!) out) -> Tensor(a!) |
| 19536 | inline at::Tensor & _euclidean_dist_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x1, const at::Tensor & x2) { |
| 19537 | return at::_ops::_euclidean_dist_out::redispatch(dispatchKeySet, x1, x2, out); |
| 19538 | } |
| 19539 | |
| 19540 | // aten::_euclidean_dist.out(Tensor x1, Tensor x2, *, Tensor(a!) out) -> Tensor(a!) |
| 19541 | inline at::Tensor & _euclidean_dist_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, at::Tensor & out) { |
| 19542 | return at::_ops::_euclidean_dist_out::redispatch(dispatchKeySet, x1, x2, out); |
| 19543 | } |
| 19544 | |
| 19545 | // aten::_cdist_forward.out(Tensor x1, Tensor x2, float p, int? compute_mode, *, Tensor(a!) out) -> Tensor(a!) |
| 19546 | inline at::Tensor & _cdist_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x1, const at::Tensor & x2, double p, c10::optional<int64_t> compute_mode) { |
| 19547 | return at::_ops::_cdist_forward_out::redispatch(dispatchKeySet, x1, x2, p, compute_mode, out); |
| 19548 | } |
| 19549 | |
| 19550 | // aten::_cdist_forward.out(Tensor x1, Tensor x2, float p, int? compute_mode, *, Tensor(a!) out) -> Tensor(a!) |
| 19551 | inline at::Tensor & _cdist_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x1, const at::Tensor & x2, double p, c10::optional<int64_t> compute_mode, at::Tensor & out) { |
| 19552 | return at::_ops::_cdist_forward_out::redispatch(dispatchKeySet, x1, x2, p, compute_mode, out); |
| 19553 | } |
| 19554 | |
| 19555 | // aten::_cdist_backward.out(Tensor grad, Tensor x1, Tensor x2, float p, Tensor cdist, *, Tensor(a!) out) -> Tensor(a!) |
| 19556 | inline at::Tensor & _cdist_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & x1, const at::Tensor & x2, double p, const at::Tensor & cdist) { |
| 19557 | return at::_ops::_cdist_backward_out::redispatch(dispatchKeySet, grad, x1, x2, p, cdist, out); |
| 19558 | } |
| 19559 | |
| 19560 | // aten::_cdist_backward.out(Tensor grad, Tensor x1, Tensor x2, float p, Tensor cdist, *, Tensor(a!) out) -> Tensor(a!) |
| 19561 | inline at::Tensor & _cdist_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & x1, const at::Tensor & x2, double p, const at::Tensor & cdist, at::Tensor & out) { |
| 19562 | return at::_ops::_cdist_backward_out::redispatch(dispatchKeySet, grad, x1, x2, p, cdist, out); |
| 19563 | } |
| 19564 | |
| 19565 | // aten::_pdist_forward.out(Tensor self, float p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 19566 | inline at::Tensor & _pdist_forward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double p=2) { |
| 19567 | return at::_ops::_pdist_forward_out::redispatch(dispatchKeySet, self, p, out); |
| 19568 | } |
| 19569 | |
| 19570 | // aten::_pdist_forward.out(Tensor self, float p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 19571 | inline at::Tensor & _pdist_forward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, at::Tensor & out) { |
| 19572 | return at::_ops::_pdist_forward_out::redispatch(dispatchKeySet, self, p, out); |
| 19573 | } |
| 19574 | |
| 19575 | // aten::_pdist_backward.out(Tensor grad, Tensor self, float p, Tensor pdist, *, Tensor(a!) out) -> Tensor(a!) |
| 19576 | inline at::Tensor & _pdist_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & self, double p, const at::Tensor & pdist) { |
| 19577 | return at::_ops::_pdist_backward_out::redispatch(dispatchKeySet, grad, self, p, pdist, out); |
| 19578 | } |
| 19579 | |
| 19580 | // aten::_pdist_backward.out(Tensor grad, Tensor self, float p, Tensor pdist, *, Tensor(a!) out) -> Tensor(a!) |
| 19581 | inline at::Tensor & _pdist_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, double p, const at::Tensor & pdist, at::Tensor & out) { |
| 19582 | return at::_ops::_pdist_backward_out::redispatch(dispatchKeySet, grad, self, p, pdist, out); |
| 19583 | } |
| 19584 | |
| 19585 | // aten::pixel_shuffle.out(Tensor self, int upscale_factor, *, Tensor(a!) out) -> Tensor(a!) |
| 19586 | inline at::Tensor & pixel_shuffle_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t upscale_factor) { |
| 19587 | return at::_ops::pixel_shuffle_out::redispatch(dispatchKeySet, self, upscale_factor, out); |
| 19588 | } |
| 19589 | |
| 19590 | // aten::pixel_shuffle.out(Tensor self, int upscale_factor, *, Tensor(a!) out) -> Tensor(a!) |
| 19591 | inline at::Tensor & pixel_shuffle_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t upscale_factor, at::Tensor & out) { |
| 19592 | return at::_ops::pixel_shuffle_out::redispatch(dispatchKeySet, self, upscale_factor, out); |
| 19593 | } |
| 19594 | |
| 19595 | // aten::pixel_unshuffle.out(Tensor self, int downscale_factor, *, Tensor(a!) out) -> Tensor(a!) |
| 19596 | inline at::Tensor & pixel_unshuffle_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t downscale_factor) { |
| 19597 | return at::_ops::pixel_unshuffle_out::redispatch(dispatchKeySet, self, downscale_factor, out); |
| 19598 | } |
| 19599 | |
| 19600 | // aten::pixel_unshuffle.out(Tensor self, int downscale_factor, *, Tensor(a!) out) -> Tensor(a!) |
| 19601 | inline at::Tensor & pixel_unshuffle_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t downscale_factor, at::Tensor & out) { |
| 19602 | return at::_ops::pixel_unshuffle_out::redispatch(dispatchKeySet, self, downscale_factor, out); |
| 19603 | } |
| 19604 | |
| 19605 | // aten::channel_shuffle.out(Tensor self, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19606 | inline at::Tensor & channel_shuffle_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t groups) { |
| 19607 | return at::_ops::channel_shuffle_out::redispatch(dispatchKeySet, self, groups, out); |
| 19608 | } |
| 19609 | |
| 19610 | // aten::channel_shuffle.out(Tensor self, int groups, *, Tensor(a!) out) -> Tensor(a!) |
| 19611 | inline at::Tensor & channel_shuffle_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t groups, at::Tensor & out) { |
| 19612 | return at::_ops::channel_shuffle_out::redispatch(dispatchKeySet, self, groups, out); |
| 19613 | } |
| 19614 | |
| 19615 | // aten::_pin_memory.out(Tensor self, Device? device=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19616 | inline at::Tensor & _pin_memory_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Device> device=c10::nullopt) { |
| 19617 | return at::_ops::_pin_memory_out::redispatch(dispatchKeySet, self, device, out); |
| 19618 | } |
| 19619 | |
| 19620 | // aten::_pin_memory.out(Tensor self, Device? device=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19621 | inline at::Tensor & _pin_memory_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Device> device, at::Tensor & out) { |
| 19622 | return at::_ops::_pin_memory_out::redispatch(dispatchKeySet, self, device, out); |
| 19623 | } |
| 19624 | |
| 19625 | // aten::scalar_tensor.out(Scalar s, *, Tensor(a!) out) -> Tensor(a!) |
| 19626 | inline at::Tensor & scalar_tensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & s) { |
| 19627 | return at::_ops::scalar_tensor_out::redispatch(dispatchKeySet, s, out); |
| 19628 | } |
| 19629 | |
| 19630 | // aten::scalar_tensor.out(Scalar s, *, Tensor(a!) out) -> Tensor(a!) |
| 19631 | inline at::Tensor & scalar_tensor_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & s, at::Tensor & out) { |
| 19632 | return at::_ops::scalar_tensor_out::redispatch(dispatchKeySet, s, out); |
| 19633 | } |
| 19634 | |
| 19635 | // aten::rand.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19636 | inline at::Tensor & rand_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names) { |
| 19637 | return at::_ops::rand_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, out); |
| 19638 | } |
| 19639 | |
| 19640 | // aten::rand.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19641 | inline at::Tensor & rand_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19642 | return at::_ops::rand_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, out); |
| 19643 | } |
| 19644 | |
| 19645 | // aten::rand.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19646 | inline at::Tensor & rand_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names) { |
| 19647 | return at::_ops::rand_names_out::redispatch(dispatchKeySet, size, names, out); |
| 19648 | } |
| 19649 | |
| 19650 | // aten::rand.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19651 | inline at::Tensor & rand_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19652 | return at::_ops::rand_names_out::redispatch(dispatchKeySet, size, names, out); |
| 19653 | } |
| 19654 | |
| 19655 | // aten::rand.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19656 | inline at::Tensor & rand_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names) { |
| 19657 | return at::_ops::rand_generator_with_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, out); |
| 19658 | } |
| 19659 | |
| 19660 | // aten::rand.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19661 | inline at::Tensor & rand_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19662 | return at::_ops::rand_generator_with_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, out); |
| 19663 | } |
| 19664 | |
| 19665 | // aten::rand.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19666 | inline at::Tensor & rand_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names) { |
| 19667 | return at::_ops::rand_generator_with_names_out::redispatch(dispatchKeySet, size, generator, names, out); |
| 19668 | } |
| 19669 | |
| 19670 | // aten::rand.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19671 | inline at::Tensor & rand_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19672 | return at::_ops::rand_generator_with_names_out::redispatch(dispatchKeySet, size, generator, names, out); |
| 19673 | } |
| 19674 | |
| 19675 | // aten::rand_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19676 | inline at::Tensor & rand_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 19677 | return at::_ops::rand_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 19678 | } |
| 19679 | |
| 19680 | // aten::rand_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19681 | inline at::Tensor & rand_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 19682 | return at::_ops::rand_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 19683 | } |
| 19684 | |
| 19685 | // aten::randint_like.out(Tensor self, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19686 | inline at::Tensor & randint_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t high, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 19687 | return at::_ops::randint_like_out::redispatch(dispatchKeySet, self, high, memory_format, out); |
| 19688 | } |
| 19689 | |
| 19690 | // aten::randint_like.out(Tensor self, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19691 | inline at::Tensor & randint_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t high, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 19692 | return at::_ops::randint_like_out::redispatch(dispatchKeySet, self, high, memory_format, out); |
| 19693 | } |
| 19694 | |
| 19695 | // aten::randint_like.low_dtype_out(Tensor self, int low, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19696 | inline at::Tensor & randint_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t low, int64_t high, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 19697 | return at::_ops::randint_like_low_dtype_out::redispatch(dispatchKeySet, self, low, high, memory_format, out); |
| 19698 | } |
| 19699 | |
| 19700 | // aten::randint_like.low_dtype_out(Tensor self, int low, int high, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19701 | inline at::Tensor & randint_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t low, int64_t high, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 19702 | return at::_ops::randint_like_low_dtype_out::redispatch(dispatchKeySet, self, low, high, memory_format, out); |
| 19703 | } |
| 19704 | |
| 19705 | // aten::randn.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19706 | inline at::Tensor & randn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names) { |
| 19707 | return at::_ops::randn_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, out); |
| 19708 | } |
| 19709 | |
| 19710 | // aten::randn.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19711 | inline at::Tensor & randn_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19712 | return at::_ops::randn_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), names, out); |
| 19713 | } |
| 19714 | |
| 19715 | // aten::randn.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19716 | inline at::Tensor & randn_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names) { |
| 19717 | return at::_ops::randn_names_out::redispatch(dispatchKeySet, size, names, out); |
| 19718 | } |
| 19719 | |
| 19720 | // aten::randn.names_out(SymInt[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19721 | inline at::Tensor & randn_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19722 | return at::_ops::randn_names_out::redispatch(dispatchKeySet, size, names, out); |
| 19723 | } |
| 19724 | |
| 19725 | // aten::randn.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19726 | inline at::Tensor & randn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names) { |
| 19727 | return at::_ops::randn_generator_with_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, out); |
| 19728 | } |
| 19729 | |
| 19730 | // aten::randn.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19731 | inline at::Tensor & randn_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19732 | return at::_ops::randn_generator_with_names_out::redispatch(dispatchKeySet, c10::fromIntArrayRefSlow(size), generator, names, out); |
| 19733 | } |
| 19734 | |
| 19735 | // aten::randn.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19736 | inline at::Tensor & randn_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names) { |
| 19737 | return at::_ops::randn_generator_with_names_out::redispatch(dispatchKeySet, size, generator, names, out); |
| 19738 | } |
| 19739 | |
| 19740 | // aten::randn.generator_with_names_out(SymInt[] size, *, Generator? generator, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 19741 | inline at::Tensor & randn_symint_outf(c10::DispatchKeySet dispatchKeySet, c10::SymIntArrayRef size, c10::optional<at::Generator> generator, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 19742 | return at::_ops::randn_generator_with_names_out::redispatch(dispatchKeySet, size, generator, names, out); |
| 19743 | } |
| 19744 | |
| 19745 | // aten::randn_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19746 | inline at::Tensor & randn_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 19747 | return at::_ops::randn_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 19748 | } |
| 19749 | |
| 19750 | // aten::randn_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 19751 | inline at::Tensor & randn_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 19752 | return at::_ops::randn_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 19753 | } |
| 19754 | |
| 19755 | // aten::repeat.out(Tensor self, SymInt[] repeats, *, Tensor(a!) out) -> Tensor(a!) |
| 19756 | inline at::Tensor & repeat_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef repeats) { |
| 19757 | return at::_ops::repeat_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(repeats), out); |
| 19758 | } |
| 19759 | |
| 19760 | // aten::repeat.out(Tensor self, SymInt[] repeats, *, Tensor(a!) out) -> Tensor(a!) |
| 19761 | inline at::Tensor & repeat_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef repeats, at::Tensor & out) { |
| 19762 | return at::_ops::repeat_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(repeats), out); |
| 19763 | } |
| 19764 | |
| 19765 | // aten::repeat.out(Tensor self, SymInt[] repeats, *, Tensor(a!) out) -> Tensor(a!) |
| 19766 | inline at::Tensor & repeat_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef repeats) { |
| 19767 | return at::_ops::repeat_out::redispatch(dispatchKeySet, self, repeats, out); |
| 19768 | } |
| 19769 | |
| 19770 | // aten::repeat.out(Tensor self, SymInt[] repeats, *, Tensor(a!) out) -> Tensor(a!) |
| 19771 | inline at::Tensor & repeat_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef repeats, at::Tensor & out) { |
| 19772 | return at::_ops::repeat_out::redispatch(dispatchKeySet, self, repeats, out); |
| 19773 | } |
| 19774 | |
| 19775 | // aten::repeat_interleave.Tensor_out(Tensor repeats, *, int? output_size=None, Tensor(a!) out) -> Tensor(a!) |
| 19776 | inline at::Tensor & repeat_interleave_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & repeats, c10::optional<int64_t> output_size=c10::nullopt) { |
| 19777 | return at::_ops::repeat_interleave_Tensor_out::redispatch(dispatchKeySet, repeats, output_size, out); |
| 19778 | } |
| 19779 | |
| 19780 | // aten::repeat_interleave.Tensor_out(Tensor repeats, *, int? output_size=None, Tensor(a!) out) -> Tensor(a!) |
| 19781 | inline at::Tensor & repeat_interleave_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & repeats, c10::optional<int64_t> output_size, at::Tensor & out) { |
| 19782 | return at::_ops::repeat_interleave_Tensor_out::redispatch(dispatchKeySet, repeats, output_size, out); |
| 19783 | } |
| 19784 | |
| 19785 | // aten::_mkldnn_reshape.out(Tensor self, int[] shape, *, Tensor(a!) out) -> Tensor(a!) |
| 19786 | inline at::Tensor & _mkldnn_reshape_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef shape) { |
| 19787 | return at::_ops::_mkldnn_reshape_out::redispatch(dispatchKeySet, self, shape, out); |
| 19788 | } |
| 19789 | |
| 19790 | // aten::_mkldnn_reshape.out(Tensor self, int[] shape, *, Tensor(a!) out) -> Tensor(a!) |
| 19791 | inline at::Tensor & _mkldnn_reshape_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shape, at::Tensor & out) { |
| 19792 | return at::_ops::_mkldnn_reshape_out::redispatch(dispatchKeySet, self, shape, out); |
| 19793 | } |
| 19794 | |
| 19795 | // aten::relu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19796 | inline at::Tensor & relu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 19797 | return at::_ops::relu_out::redispatch(dispatchKeySet, self, out); |
| 19798 | } |
| 19799 | |
| 19800 | // aten::relu.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 19801 | inline at::Tensor & relu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 19802 | return at::_ops::relu_out::redispatch(dispatchKeySet, self, out); |
| 19803 | } |
| 19804 | |
| 19805 | // aten::select_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19806 | inline at::Tensor & select_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t index) { |
| 19807 | return at::_ops::select_backward_out::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), dim, index, out); |
| 19808 | } |
| 19809 | |
| 19810 | // aten::select_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19811 | inline at::Tensor & select_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t index, at::Tensor & out) { |
| 19812 | return at::_ops::select_backward_out::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), dim, index, out); |
| 19813 | } |
| 19814 | |
| 19815 | // aten::select_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19816 | inline at::Tensor & select_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt index) { |
| 19817 | return at::_ops::select_backward_out::redispatch(dispatchKeySet, grad_output, input_sizes, dim, index, out); |
| 19818 | } |
| 19819 | |
| 19820 | // aten::select_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19821 | inline at::Tensor & select_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt index, at::Tensor & out) { |
| 19822 | return at::_ops::select_backward_out::redispatch(dispatchKeySet, grad_output, input_sizes, dim, index, out); |
| 19823 | } |
| 19824 | |
| 19825 | // aten::celu.out(Tensor self, Scalar alpha=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 19826 | inline at::Tensor & celu_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & alpha=1.0) { |
| 19827 | return at::_ops::celu_out::redispatch(dispatchKeySet, self, alpha, out); |
| 19828 | } |
| 19829 | |
| 19830 | // aten::celu.out(Tensor self, Scalar alpha=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 19831 | inline at::Tensor & celu_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & alpha, at::Tensor & out) { |
| 19832 | return at::_ops::celu_out::redispatch(dispatchKeySet, self, alpha, out); |
| 19833 | } |
| 19834 | |
| 19835 | // aten::slice_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step, *, Tensor(a!) out) -> Tensor(a!) |
| 19836 | inline at::Tensor & slice_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t start, int64_t end, int64_t step) { |
| 19837 | return at::_ops::slice_backward_out::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), dim, start, end, step, out); |
| 19838 | } |
| 19839 | |
| 19840 | // aten::slice_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step, *, Tensor(a!) out) -> Tensor(a!) |
| 19841 | inline at::Tensor & slice_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, at::IntArrayRef input_sizes, int64_t dim, int64_t start, int64_t end, int64_t step, at::Tensor & out) { |
| 19842 | return at::_ops::slice_backward_out::redispatch(dispatchKeySet, grad_output, c10::fromIntArrayRefSlow(input_sizes), dim, start, end, step, out); |
| 19843 | } |
| 19844 | |
| 19845 | // aten::slice_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step, *, Tensor(a!) out) -> Tensor(a!) |
| 19846 | inline at::Tensor & slice_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt start, c10::SymInt end, c10::SymInt step) { |
| 19847 | return at::_ops::slice_backward_out::redispatch(dispatchKeySet, grad_output, input_sizes, dim, start, end, step, out); |
| 19848 | } |
| 19849 | |
| 19850 | // aten::slice_backward.out(Tensor grad_output, SymInt[] input_sizes, int dim, SymInt start, SymInt end, SymInt step, *, Tensor(a!) out) -> Tensor(a!) |
| 19851 | inline at::Tensor & slice_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, c10::SymIntArrayRef input_sizes, int64_t dim, c10::SymInt start, c10::SymInt end, c10::SymInt step, at::Tensor & out) { |
| 19852 | return at::_ops::slice_backward_out::redispatch(dispatchKeySet, grad_output, input_sizes, dim, start, end, step, out); |
| 19853 | } |
| 19854 | |
| 19855 | // aten::slice_scatter.out(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19856 | inline at::Tensor & slice_scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) { |
| 19857 | return at::_ops::slice_scatter_out::redispatch(dispatchKeySet, self, src, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step, out); |
| 19858 | } |
| 19859 | |
| 19860 | // aten::slice_scatter.out(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19861 | inline at::Tensor & slice_scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim, c10::optional<int64_t> start, c10::optional<int64_t> end, int64_t step, at::Tensor & out) { |
| 19862 | return at::_ops::slice_scatter_out::redispatch(dispatchKeySet, self, src, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step, out); |
| 19863 | } |
| 19864 | |
| 19865 | // aten::slice_scatter.out(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19866 | inline at::Tensor & slice_scatter_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, int64_t dim=0, c10::optional<c10::SymInt> start=c10::nullopt, c10::optional<c10::SymInt> end=c10::nullopt, c10::SymInt step=1) { |
| 19867 | return at::_ops::slice_scatter_out::redispatch(dispatchKeySet, self, src, dim, start, end, step, out); |
| 19868 | } |
| 19869 | |
| 19870 | // aten::slice_scatter.out(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19871 | inline at::Tensor & slice_scatter_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim, c10::optional<c10::SymInt> start, c10::optional<c10::SymInt> end, c10::SymInt step, at::Tensor & out) { |
| 19872 | return at::_ops::slice_scatter_out::redispatch(dispatchKeySet, self, src, dim, start, end, step, out); |
| 19873 | } |
| 19874 | |
| 19875 | // aten::select_scatter.out(Tensor self, Tensor src, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19876 | inline at::Tensor & select_scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, int64_t dim, int64_t index) { |
| 19877 | return at::_ops::select_scatter_out::redispatch(dispatchKeySet, self, src, dim, index, out); |
| 19878 | } |
| 19879 | |
| 19880 | // aten::select_scatter.out(Tensor self, Tensor src, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19881 | inline at::Tensor & select_scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim, int64_t index, at::Tensor & out) { |
| 19882 | return at::_ops::select_scatter_out::redispatch(dispatchKeySet, self, src, dim, index, out); |
| 19883 | } |
| 19884 | |
| 19885 | // aten::select_scatter.out(Tensor self, Tensor src, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19886 | inline at::Tensor & select_scatter_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, int64_t dim, c10::SymInt index) { |
| 19887 | return at::_ops::select_scatter_out::redispatch(dispatchKeySet, self, src, dim, index, out); |
| 19888 | } |
| 19889 | |
| 19890 | // aten::select_scatter.out(Tensor self, Tensor src, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 19891 | inline at::Tensor & select_scatter_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t dim, c10::SymInt index, at::Tensor & out) { |
| 19892 | return at::_ops::select_scatter_out::redispatch(dispatchKeySet, self, src, dim, index, out); |
| 19893 | } |
| 19894 | |
| 19895 | // aten::diagonal_scatter.out(Tensor self, Tensor src, int offset=0, int dim1=0, int dim2=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19896 | inline at::Tensor & diagonal_scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) { |
| 19897 | return at::_ops::diagonal_scatter_out::redispatch(dispatchKeySet, self, src, offset, dim1, dim2, out); |
| 19898 | } |
| 19899 | |
| 19900 | // aten::diagonal_scatter.out(Tensor self, Tensor src, int offset=0, int dim1=0, int dim2=1, *, Tensor(a!) out) -> Tensor(a!) |
| 19901 | inline at::Tensor & diagonal_scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, int64_t offset, int64_t dim1, int64_t dim2, at::Tensor & out) { |
| 19902 | return at::_ops::diagonal_scatter_out::redispatch(dispatchKeySet, self, src, offset, dim1, dim2, out); |
| 19903 | } |
| 19904 | |
| 19905 | // aten::as_strided_scatter.out(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19906 | inline at::Tensor & as_strided_scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) { |
| 19907 | return at::_ops::as_strided_scatter_out::redispatch(dispatchKeySet, self, src, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt, out); |
| 19908 | } |
| 19909 | |
| 19910 | // aten::as_strided_scatter.out(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19911 | inline at::Tensor & as_strided_scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset, at::Tensor & out) { |
| 19912 | return at::_ops::as_strided_scatter_out::redispatch(dispatchKeySet, self, src, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt, out); |
| 19913 | } |
| 19914 | |
| 19915 | // aten::as_strided_scatter.out(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19916 | inline at::Tensor & as_strided_scatter_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) { |
| 19917 | return at::_ops::as_strided_scatter_out::redispatch(dispatchKeySet, self, src, size, stride, storage_offset, out); |
| 19918 | } |
| 19919 | |
| 19920 | // aten::as_strided_scatter.out(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 19921 | inline at::Tensor & as_strided_scatter_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset, at::Tensor & out) { |
| 19922 | return at::_ops::as_strided_scatter_out::redispatch(dispatchKeySet, self, src, size, stride, storage_offset, out); |
| 19923 | } |
| 19924 | |
| 19925 | // aten::unsafe_split.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 19926 | inline void unsafe_split_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, int64_t split_size, int64_t dim=0) { |
| 19927 | return at::_ops::unsafe_split_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 19928 | } |
| 19929 | |
| 19930 | // aten::unsafe_split.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 19931 | inline void unsafe_split_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t split_size, int64_t dim, at::TensorList out) { |
| 19932 | return at::_ops::unsafe_split_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 19933 | } |
| 19934 | |
| 19935 | // aten::unsafe_split.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 19936 | inline void unsafe_split_symint_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) { |
| 19937 | return at::_ops::unsafe_split_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 19938 | } |
| 19939 | |
| 19940 | // aten::unsafe_split.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> () |
| 19941 | inline void unsafe_split_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymInt split_size, int64_t dim, at::TensorList out) { |
| 19942 | return at::_ops::unsafe_split_Tensor_out::redispatch(dispatchKeySet, self, split_size, dim, out); |
| 19943 | } |
| 19944 | |
| 19945 | // aten::unsafe_split_with_sizes.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 19946 | inline void unsafe_split_with_sizes_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim=0) { |
| 19947 | return at::_ops::unsafe_split_with_sizes_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_sizes), dim, out); |
| 19948 | } |
| 19949 | |
| 19950 | // aten::unsafe_split_with_sizes.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 19951 | inline void unsafe_split_with_sizes_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef split_sizes, int64_t dim, at::TensorList out) { |
| 19952 | return at::_ops::unsafe_split_with_sizes_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(split_sizes), dim, out); |
| 19953 | } |
| 19954 | |
| 19955 | // aten::unsafe_split_with_sizes.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 19956 | inline void unsafe_split_with_sizes_symint_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, c10::SymIntArrayRef split_sizes, int64_t dim=0) { |
| 19957 | return at::_ops::unsafe_split_with_sizes_out::redispatch(dispatchKeySet, self, split_sizes, dim, out); |
| 19958 | } |
| 19959 | |
| 19960 | // aten::unsafe_split_with_sizes.out(Tensor self, SymInt[] split_sizes, int dim=0, *, Tensor(a!)[] out) -> () |
| 19961 | inline void unsafe_split_with_sizes_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef split_sizes, int64_t dim, at::TensorList out) { |
| 19962 | return at::_ops::unsafe_split_with_sizes_out::redispatch(dispatchKeySet, self, split_sizes, dim, out); |
| 19963 | } |
| 19964 | |
| 19965 | // aten::sum.out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 19966 | inline at::Tensor & sum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 19967 | return at::_ops::sum_out::redispatch(dispatchKeySet, self, dtype, out); |
| 19968 | } |
| 19969 | |
| 19970 | // aten::sum.out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 19971 | inline at::Tensor & sum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 19972 | return at::_ops::sum_out::redispatch(dispatchKeySet, self, dtype, out); |
| 19973 | } |
| 19974 | |
| 19975 | // aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19976 | inline ::std::tuple<at::Tensor &,at::Tensor &> std_mean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 19977 | return at::_ops::std_mean_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out0, out1); |
| 19978 | } |
| 19979 | |
| 19980 | // aten::std_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 19981 | inline ::std::tuple<at::Tensor &,at::Tensor &> std_mean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out0, at::Tensor & out1) { |
| 19982 | return at::_ops::std_mean_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out0, out1); |
| 19983 | } |
| 19984 | |
| 19985 | // aten::prod.out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 19986 | inline at::Tensor & prod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 19987 | return at::_ops::prod_out::redispatch(dispatchKeySet, self, dtype, out); |
| 19988 | } |
| 19989 | |
| 19990 | // aten::prod.out(Tensor self, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 19991 | inline at::Tensor & prod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 19992 | return at::_ops::prod_out::redispatch(dispatchKeySet, self, dtype, out); |
| 19993 | } |
| 19994 | |
| 19995 | // aten::_mkldnn_transpose.out(Tensor self, int dim0, int dim1, *, Tensor(a!) out) -> Tensor(a!) |
| 19996 | inline at::Tensor & _mkldnn_transpose_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 19997 | return at::_ops::_mkldnn_transpose_out::redispatch(dispatchKeySet, self, dim0, dim1, out); |
| 19998 | } |
| 19999 | |
| 20000 | // aten::_mkldnn_transpose.out(Tensor self, int dim0, int dim1, *, Tensor(a!) out) -> Tensor(a!) |
| 20001 | inline at::Tensor & _mkldnn_transpose_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1, at::Tensor & out) { |
| 20002 | return at::_ops::_mkldnn_transpose_out::redispatch(dispatchKeySet, self, dim0, dim1, out); |
| 20003 | } |
| 20004 | |
| 20005 | // aten::flip.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!) |
| 20006 | inline at::Tensor & flip_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dims) { |
| 20007 | return at::_ops::flip_out::redispatch(dispatchKeySet, self, dims, out); |
| 20008 | } |
| 20009 | |
| 20010 | // aten::flip.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!) |
| 20011 | inline at::Tensor & flip_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims, at::Tensor & out) { |
| 20012 | return at::_ops::flip_out::redispatch(dispatchKeySet, self, dims, out); |
| 20013 | } |
| 20014 | |
| 20015 | // aten::roll.out(Tensor self, int[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!) |
| 20016 | inline at::Tensor & roll_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims={}) { |
| 20017 | return at::_ops::roll_out::redispatch(dispatchKeySet, self, shifts, dims, out); |
| 20018 | } |
| 20019 | |
| 20020 | // aten::roll.out(Tensor self, int[1] shifts, int[1] dims=[], *, Tensor(a!) out) -> Tensor(a!) |
| 20021 | inline at::Tensor & roll_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef shifts, at::IntArrayRef dims, at::Tensor & out) { |
| 20022 | return at::_ops::roll_out::redispatch(dispatchKeySet, self, shifts, dims, out); |
| 20023 | } |
| 20024 | |
| 20025 | // aten::rot90.out(Tensor self, int k=1, int[] dims=[0,1], *, Tensor(a!) out) -> Tensor(a!) |
| 20026 | inline at::Tensor & rot90_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t k=1, at::IntArrayRef dims={0,1}) { |
| 20027 | return at::_ops::rot90_out::redispatch(dispatchKeySet, self, k, dims, out); |
| 20028 | } |
| 20029 | |
| 20030 | // aten::rot90.out(Tensor self, int k=1, int[] dims=[0,1], *, Tensor(a!) out) -> Tensor(a!) |
| 20031 | inline at::Tensor & rot90_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t k, at::IntArrayRef dims, at::Tensor & out) { |
| 20032 | return at::_ops::rot90_out::redispatch(dispatchKeySet, self, k, dims, out); |
| 20033 | } |
| 20034 | |
| 20035 | // aten::_transform_bias_rescale_qkv.out(Tensor qkv, Tensor qkv_bias, int num_heads, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20036 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _transform_bias_rescale_qkv_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & qkv, const at::Tensor & qkv_bias, int64_t num_heads) { |
| 20037 | return at::_ops::_transform_bias_rescale_qkv_out::redispatch(dispatchKeySet, qkv, qkv_bias, num_heads, out0, out1, out2); |
| 20038 | } |
| 20039 | |
| 20040 | // aten::_transform_bias_rescale_qkv.out(Tensor qkv, Tensor qkv_bias, int num_heads, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20041 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _transform_bias_rescale_qkv_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & qkv, const at::Tensor & qkv_bias, int64_t num_heads, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 20042 | return at::_ops::_transform_bias_rescale_qkv_out::redispatch(dispatchKeySet, qkv, qkv_bias, num_heads, out0, out1, out2); |
| 20043 | } |
| 20044 | |
| 20045 | // aten::_nested_tensor_from_mask.out(Tensor t, Tensor mask, bool mask_check=True, *, Tensor(a!) out) -> Tensor(a!) |
| 20046 | inline at::Tensor & _nested_tensor_from_mask_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & t, const at::Tensor & mask, bool mask_check=true) { |
| 20047 | return at::_ops::_nested_tensor_from_mask_out::redispatch(dispatchKeySet, t, mask, mask_check, out); |
| 20048 | } |
| 20049 | |
| 20050 | // aten::_nested_tensor_from_mask.out(Tensor t, Tensor mask, bool mask_check=True, *, Tensor(a!) out) -> Tensor(a!) |
| 20051 | inline at::Tensor & _nested_tensor_from_mask_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & t, const at::Tensor & mask, bool mask_check, at::Tensor & out) { |
| 20052 | return at::_ops::_nested_tensor_from_mask_out::redispatch(dispatchKeySet, t, mask, mask_check, out); |
| 20053 | } |
| 20054 | |
| 20055 | // aten::_nested_from_padded.out(Tensor padded, Tensor cpu_nested_shape_example, bool fuse_transform_0213=False, *, Tensor(a!) out) -> Tensor(a!) |
| 20056 | inline at::Tensor & _nested_from_padded_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & padded, const at::Tensor & cpu_nested_shape_example, bool fuse_transform_0213=false) { |
| 20057 | return at::_ops::_nested_from_padded_out::redispatch(dispatchKeySet, padded, cpu_nested_shape_example, fuse_transform_0213, out); |
| 20058 | } |
| 20059 | |
| 20060 | // aten::_nested_from_padded.out(Tensor padded, Tensor cpu_nested_shape_example, bool fuse_transform_0213=False, *, Tensor(a!) out) -> Tensor(a!) |
| 20061 | inline at::Tensor & _nested_from_padded_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & padded, const at::Tensor & cpu_nested_shape_example, bool fuse_transform_0213, at::Tensor & out) { |
| 20062 | return at::_ops::_nested_from_padded_out::redispatch(dispatchKeySet, padded, cpu_nested_shape_example, fuse_transform_0213, out); |
| 20063 | } |
| 20064 | |
| 20065 | // aten::_nested_tensor_size.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20066 | inline at::Tensor & _nested_tensor_size_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20067 | return at::_ops::_nested_tensor_size_out::redispatch(dispatchKeySet, self, out); |
| 20068 | } |
| 20069 | |
| 20070 | // aten::_nested_tensor_size.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20071 | inline at::Tensor & _nested_tensor_size_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20072 | return at::_ops::_nested_tensor_size_out::redispatch(dispatchKeySet, self, out); |
| 20073 | } |
| 20074 | |
| 20075 | // aten::_nested_tensor_strides.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20076 | inline at::Tensor & _nested_tensor_strides_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20077 | return at::_ops::_nested_tensor_strides_out::redispatch(dispatchKeySet, self, out); |
| 20078 | } |
| 20079 | |
| 20080 | // aten::_nested_tensor_strides.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20081 | inline at::Tensor & _nested_tensor_strides_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20082 | return at::_ops::_nested_tensor_strides_out::redispatch(dispatchKeySet, self, out); |
| 20083 | } |
| 20084 | |
| 20085 | // aten::_nested_from_padded_and_nested_example.out(Tensor padded, Tensor nt_example, *, Tensor(a!) out) -> Tensor(a!) |
| 20086 | inline at::Tensor & _nested_from_padded_and_nested_example_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & padded, const at::Tensor & nt_example) { |
| 20087 | return at::_ops::_nested_from_padded_and_nested_example_out::redispatch(dispatchKeySet, padded, nt_example, out); |
| 20088 | } |
| 20089 | |
| 20090 | // aten::_nested_from_padded_and_nested_example.out(Tensor padded, Tensor nt_example, *, Tensor(a!) out) -> Tensor(a!) |
| 20091 | inline at::Tensor & _nested_from_padded_and_nested_example_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & padded, const at::Tensor & nt_example, at::Tensor & out) { |
| 20092 | return at::_ops::_nested_from_padded_and_nested_example_out::redispatch(dispatchKeySet, padded, nt_example, out); |
| 20093 | } |
| 20094 | |
| 20095 | // aten::_nested_view_from_buffer_copy.out(Tensor self, Tensor nested_size, Tensor nested_strides, int[] offsets, *, Tensor(a!) out) -> Tensor(a!) |
| 20096 | inline at::Tensor & _nested_view_from_buffer_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & nested_size, const at::Tensor & nested_strides, at::IntArrayRef offsets) { |
| 20097 | return at::_ops::_nested_view_from_buffer_copy_out::redispatch(dispatchKeySet, self, nested_size, nested_strides, offsets, out); |
| 20098 | } |
| 20099 | |
| 20100 | // aten::_nested_view_from_buffer_copy.out(Tensor self, Tensor nested_size, Tensor nested_strides, int[] offsets, *, Tensor(a!) out) -> Tensor(a!) |
| 20101 | inline at::Tensor & _nested_view_from_buffer_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & nested_size, const at::Tensor & nested_strides, at::IntArrayRef offsets, at::Tensor & out) { |
| 20102 | return at::_ops::_nested_view_from_buffer_copy_out::redispatch(dispatchKeySet, self, nested_size, nested_strides, offsets, out); |
| 20103 | } |
| 20104 | |
| 20105 | // aten::_trilinear.out(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20106 | inline at::Tensor & _trilinear_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & i1, const at::Tensor & i2, const at::Tensor & i3, at::IntArrayRef expand1, at::IntArrayRef expand2, at::IntArrayRef expand3, at::IntArrayRef sumdim, int64_t unroll_dim=1) { |
| 20107 | return at::_ops::_trilinear_out::redispatch(dispatchKeySet, i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim, out); |
| 20108 | } |
| 20109 | |
| 20110 | // aten::_trilinear.out(Tensor i1, Tensor i2, Tensor i3, int[] expand1, int[] expand2, int[] expand3, int[] sumdim, int unroll_dim=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20111 | inline at::Tensor & _trilinear_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & i1, const at::Tensor & i2, const at::Tensor & i3, at::IntArrayRef expand1, at::IntArrayRef expand2, at::IntArrayRef expand3, at::IntArrayRef sumdim, int64_t unroll_dim, at::Tensor & out) { |
| 20112 | return at::_ops::_trilinear_out::redispatch(dispatchKeySet, i1, i2, i3, expand1, expand2, expand3, sumdim, unroll_dim, out); |
| 20113 | } |
| 20114 | |
| 20115 | // aten::_unique.out(Tensor self, bool sorted=True, bool return_inverse=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20116 | inline ::std::tuple<at::Tensor &,at::Tensor &> _unique_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, bool sorted=true, bool return_inverse=false) { |
| 20117 | return at::_ops::_unique_out::redispatch(dispatchKeySet, self, sorted, return_inverse, out0, out1); |
| 20118 | } |
| 20119 | |
| 20120 | // aten::_unique.out(Tensor self, bool sorted=True, bool return_inverse=False, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20121 | inline ::std::tuple<at::Tensor &,at::Tensor &> _unique_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted, bool return_inverse, at::Tensor & out0, at::Tensor & out1) { |
| 20122 | return at::_ops::_unique_out::redispatch(dispatchKeySet, self, sorted, return_inverse, out0, out1); |
| 20123 | } |
| 20124 | |
| 20125 | // aten::unique_dim.out(Tensor self, int dim, bool sorted=True, bool return_inverse=False, bool return_counts=False, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20126 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_dim_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, int64_t dim, bool sorted=true, bool return_inverse=false, bool return_counts=false) { |
| 20127 | return at::_ops::unique_dim_out::redispatch(dispatchKeySet, self, dim, sorted, return_inverse, return_counts, out0, out1, out2); |
| 20128 | } |
| 20129 | |
| 20130 | // aten::unique_dim.out(Tensor self, int dim, bool sorted=True, bool return_inverse=False, bool return_counts=False, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20131 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_dim_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool sorted, bool return_inverse, bool return_counts, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 20132 | return at::_ops::unique_dim_out::redispatch(dispatchKeySet, self, dim, sorted, return_inverse, return_counts, out0, out1, out2); |
| 20133 | } |
| 20134 | |
| 20135 | // aten::unique_consecutive.out(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20136 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_consecutive_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, bool return_inverse=false, bool return_counts=false, c10::optional<int64_t> dim=c10::nullopt) { |
| 20137 | return at::_ops::unique_consecutive_out::redispatch(dispatchKeySet, self, return_inverse, return_counts, dim, out0, out1, out2); |
| 20138 | } |
| 20139 | |
| 20140 | // aten::unique_consecutive.out(Tensor self, bool return_inverse=False, bool return_counts=False, int? dim=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20141 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_consecutive_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool return_inverse, bool return_counts, c10::optional<int64_t> dim, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 20142 | return at::_ops::unique_consecutive_out::redispatch(dispatchKeySet, self, return_inverse, return_counts, dim, out0, out1, out2); |
| 20143 | } |
| 20144 | |
| 20145 | // aten::unique_dim_consecutive.out(Tensor self, int dim, bool return_inverse=False, bool return_counts=False, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20146 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_dim_consecutive_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, int64_t dim, bool return_inverse=false, bool return_counts=false) { |
| 20147 | return at::_ops::unique_dim_consecutive_out::redispatch(dispatchKeySet, self, dim, return_inverse, return_counts, out0, out1, out2); |
| 20148 | } |
| 20149 | |
| 20150 | // aten::unique_dim_consecutive.out(Tensor self, int dim, bool return_inverse=False, bool return_counts=False, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20151 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> unique_dim_consecutive_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool return_inverse, bool return_counts, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 20152 | return at::_ops::unique_dim_consecutive_out::redispatch(dispatchKeySet, self, dim, return_inverse, return_counts, out0, out1, out2); |
| 20153 | } |
| 20154 | |
| 20155 | // aten::_unique2.out(Tensor self, bool sorted=True, bool return_inverse=False, bool return_counts=False, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20156 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _unique2_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & self, bool sorted=true, bool return_inverse=false, bool return_counts=false) { |
| 20157 | return at::_ops::_unique2_out::redispatch(dispatchKeySet, self, sorted, return_inverse, return_counts, out0, out1, out2); |
| 20158 | } |
| 20159 | |
| 20160 | // aten::_unique2.out(Tensor self, bool sorted=True, bool return_inverse=False, bool return_counts=False, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20161 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _unique2_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool sorted, bool return_inverse, bool return_counts, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 20162 | return at::_ops::_unique2_out::redispatch(dispatchKeySet, self, sorted, return_inverse, return_counts, out0, out1, out2); |
| 20163 | } |
| 20164 | |
| 20165 | // aten::_unsafe_view.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20166 | inline at::Tensor & _unsafe_view_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) { |
| 20167 | return at::_ops::_unsafe_view_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 20168 | } |
| 20169 | |
| 20170 | // aten::_unsafe_view.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20171 | inline at::Tensor & _unsafe_view_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) { |
| 20172 | return at::_ops::_unsafe_view_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 20173 | } |
| 20174 | |
| 20175 | // aten::_unsafe_view.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20176 | inline at::Tensor & _unsafe_view_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 20177 | return at::_ops::_unsafe_view_out::redispatch(dispatchKeySet, self, size, out); |
| 20178 | } |
| 20179 | |
| 20180 | // aten::_unsafe_view.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20181 | inline at::Tensor & _unsafe_view_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out) { |
| 20182 | return at::_ops::_unsafe_view_out::redispatch(dispatchKeySet, self, size, out); |
| 20183 | } |
| 20184 | |
| 20185 | // aten::var_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20186 | inline ::std::tuple<at::Tensor &,at::Tensor &> var_mean_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) { |
| 20187 | return at::_ops::var_mean_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out0, out1); |
| 20188 | } |
| 20189 | |
| 20190 | // aten::var_mean.correction_out(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20191 | inline ::std::tuple<at::Tensor &,at::Tensor &> var_mean_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::OptionalIntArrayRef dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out0, at::Tensor & out1) { |
| 20192 | return at::_ops::var_mean_correction_out::redispatch(dispatchKeySet, self, dim, correction, keepdim, out0, out1); |
| 20193 | } |
| 20194 | |
| 20195 | // aten::_weight_norm_interface.out(Tensor v, Tensor g, int dim=0, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20196 | inline ::std::tuple<at::Tensor &,at::Tensor &> _weight_norm_interface_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & v, const at::Tensor & g, int64_t dim=0) { |
| 20197 | return at::_ops::_weight_norm_interface_out::redispatch(dispatchKeySet, v, g, dim, out0, out1); |
| 20198 | } |
| 20199 | |
| 20200 | // aten::_weight_norm_interface.out(Tensor v, Tensor g, int dim=0, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20201 | inline ::std::tuple<at::Tensor &,at::Tensor &> _weight_norm_interface_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & v, const at::Tensor & g, int64_t dim, at::Tensor & out0, at::Tensor & out1) { |
| 20202 | return at::_ops::_weight_norm_interface_out::redispatch(dispatchKeySet, v, g, dim, out0, out1); |
| 20203 | } |
| 20204 | |
| 20205 | // aten::_weight_norm_interface_backward.out(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, int dim, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20206 | inline ::std::tuple<at::Tensor &,at::Tensor &> _weight_norm_interface_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim) { |
| 20207 | return at::_ops::_weight_norm_interface_backward_out::redispatch(dispatchKeySet, grad_w, saved_v, saved_g, saved_norms, dim, out0, out1); |
| 20208 | } |
| 20209 | |
| 20210 | // aten::_weight_norm_interface_backward.out(Tensor grad_w, Tensor saved_v, Tensor saved_g, Tensor saved_norms, int dim, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20211 | inline ::std::tuple<at::Tensor &,at::Tensor &> _weight_norm_interface_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim, at::Tensor & out0, at::Tensor & out1) { |
| 20212 | return at::_ops::_weight_norm_interface_backward_out::redispatch(dispatchKeySet, grad_w, saved_v, saved_g, saved_norms, dim, out0, out1); |
| 20213 | } |
| 20214 | |
| 20215 | // aten::zeros.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 20216 | inline at::Tensor & zeros_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size, c10::optional<at::DimnameList> names) { |
| 20217 | return at::_ops::zeros_names_out::redispatch(dispatchKeySet, size, names, out); |
| 20218 | } |
| 20219 | |
| 20220 | // aten::zeros.names_out(int[] size, *, Dimname[]? names, Tensor(a!) out) -> Tensor(a!) |
| 20221 | inline at::Tensor & zeros_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, c10::optional<at::DimnameList> names, at::Tensor & out) { |
| 20222 | return at::_ops::zeros_names_out::redispatch(dispatchKeySet, size, names, out); |
| 20223 | } |
| 20224 | |
| 20225 | // aten::_efficientzerotensor.out(int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20226 | inline at::Tensor & _efficientzerotensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) { |
| 20227 | return at::_ops::_efficientzerotensor_out::redispatch(dispatchKeySet, size, out); |
| 20228 | } |
| 20229 | |
| 20230 | // aten::_efficientzerotensor.out(int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20231 | inline at::Tensor & _efficientzerotensor_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) { |
| 20232 | return at::_ops::_efficientzerotensor_out::redispatch(dispatchKeySet, size, out); |
| 20233 | } |
| 20234 | |
| 20235 | // aten::zeros_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20236 | inline at::Tensor & zeros_like_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 20237 | return at::_ops::zeros_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 20238 | } |
| 20239 | |
| 20240 | // aten::zeros_like.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20241 | inline at::Tensor & zeros_like_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 20242 | return at::_ops::zeros_like_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 20243 | } |
| 20244 | |
| 20245 | // aten::_standard_gamma_grad.out(Tensor self, Tensor output, *, Tensor(a!) out) -> Tensor(a!) |
| 20246 | inline at::Tensor & _standard_gamma_grad_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & output) { |
| 20247 | return at::_ops::_standard_gamma_grad_out::redispatch(dispatchKeySet, self, output, out); |
| 20248 | } |
| 20249 | |
| 20250 | // aten::_standard_gamma_grad.out(Tensor self, Tensor output, *, Tensor(a!) out) -> Tensor(a!) |
| 20251 | inline at::Tensor & _standard_gamma_grad_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & output, at::Tensor & out) { |
| 20252 | return at::_ops::_standard_gamma_grad_out::redispatch(dispatchKeySet, self, output, out); |
| 20253 | } |
| 20254 | |
| 20255 | // aten::_standard_gamma.out(Tensor self, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20256 | inline at::Tensor & _standard_gamma_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 20257 | return at::_ops::_standard_gamma_out::redispatch(dispatchKeySet, self, generator, out); |
| 20258 | } |
| 20259 | |
| 20260 | // aten::_standard_gamma.out(Tensor self, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20261 | inline at::Tensor & _standard_gamma_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 20262 | return at::_ops::_standard_gamma_out::redispatch(dispatchKeySet, self, generator, out); |
| 20263 | } |
| 20264 | |
| 20265 | // aten::_dirichlet_grad.out(Tensor x, Tensor alpha, Tensor total, *, Tensor(a!) out) -> Tensor(a!) |
| 20266 | inline at::Tensor & _dirichlet_grad_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & x, const at::Tensor & alpha, const at::Tensor & total) { |
| 20267 | return at::_ops::_dirichlet_grad_out::redispatch(dispatchKeySet, x, alpha, total, out); |
| 20268 | } |
| 20269 | |
| 20270 | // aten::_dirichlet_grad.out(Tensor x, Tensor alpha, Tensor total, *, Tensor(a!) out) -> Tensor(a!) |
| 20271 | inline at::Tensor & _dirichlet_grad_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & x, const at::Tensor & alpha, const at::Tensor & total, at::Tensor & out) { |
| 20272 | return at::_ops::_dirichlet_grad_out::redispatch(dispatchKeySet, x, alpha, total, out); |
| 20273 | } |
| 20274 | |
| 20275 | // aten::_sample_dirichlet.out(Tensor self, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20276 | inline at::Tensor & _sample_dirichlet_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 20277 | return at::_ops::_sample_dirichlet_out::redispatch(dispatchKeySet, self, generator, out); |
| 20278 | } |
| 20279 | |
| 20280 | // aten::_sample_dirichlet.out(Tensor self, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20281 | inline at::Tensor & _sample_dirichlet_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 20282 | return at::_ops::_sample_dirichlet_out::redispatch(dispatchKeySet, self, generator, out); |
| 20283 | } |
| 20284 | |
| 20285 | // aten::poisson.out(Tensor self, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20286 | inline at::Tensor & poisson_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 20287 | return at::_ops::poisson_out::redispatch(dispatchKeySet, self, generator, out); |
| 20288 | } |
| 20289 | |
| 20290 | // aten::poisson.out(Tensor self, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20291 | inline at::Tensor & poisson_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 20292 | return at::_ops::poisson_out::redispatch(dispatchKeySet, self, generator, out); |
| 20293 | } |
| 20294 | |
| 20295 | // aten::binomial.out(Tensor count, Tensor prob, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20296 | inline at::Tensor & binomial_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & count, const at::Tensor & prob, c10::optional<at::Generator> generator=c10::nullopt) { |
| 20297 | return at::_ops::binomial_out::redispatch(dispatchKeySet, count, prob, generator, out); |
| 20298 | } |
| 20299 | |
| 20300 | // aten::binomial.out(Tensor count, Tensor prob, Generator? generator=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20301 | inline at::Tensor & binomial_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & count, const at::Tensor & prob, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 20302 | return at::_ops::binomial_out::redispatch(dispatchKeySet, count, prob, generator, out); |
| 20303 | } |
| 20304 | |
| 20305 | // aten::native_norm.out(Tensor self, Scalar p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 20306 | inline at::Tensor & native_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & p=2) { |
| 20307 | return at::_ops::native_norm_out::redispatch(dispatchKeySet, self, p, out); |
| 20308 | } |
| 20309 | |
| 20310 | // aten::native_norm.out(Tensor self, Scalar p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 20311 | inline at::Tensor & native_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p, at::Tensor & out) { |
| 20312 | return at::_ops::native_norm_out::redispatch(dispatchKeySet, self, p, out); |
| 20313 | } |
| 20314 | |
| 20315 | // aten::native_norm.ScalarOpt_dim_dtype_out(Tensor self, Scalar? p, int[1] dim, bool keepdim, ScalarType? dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20316 | inline at::Tensor & native_norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 20317 | return at::_ops::native_norm_ScalarOpt_dim_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out); |
| 20318 | } |
| 20319 | |
| 20320 | // aten::native_norm.ScalarOpt_dim_dtype_out(Tensor self, Scalar? p, int[1] dim, bool keepdim, ScalarType? dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20321 | inline at::Tensor & native_norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 20322 | return at::_ops::native_norm_ScalarOpt_dim_dtype_out::redispatch(dispatchKeySet, self, p, dim, keepdim, dtype, out); |
| 20323 | } |
| 20324 | |
| 20325 | // aten::_sparse_sum.dim_out(Tensor self, int[1] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20326 | inline at::Tensor & _sparse_sum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim) { |
| 20327 | return at::_ops::_sparse_sum_dim_out::redispatch(dispatchKeySet, self, dim, out); |
| 20328 | } |
| 20329 | |
| 20330 | // aten::_sparse_sum.dim_out(Tensor self, int[1] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20331 | inline at::Tensor & _sparse_sum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, at::Tensor & out) { |
| 20332 | return at::_ops::_sparse_sum_dim_out::redispatch(dispatchKeySet, self, dim, out); |
| 20333 | } |
| 20334 | |
| 20335 | // aten::_sparse_sum_backward.out(Tensor grad, Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20336 | inline at::Tensor & _sparse_sum_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & self, at::IntArrayRef dim) { |
| 20337 | return at::_ops::_sparse_sum_backward_out::redispatch(dispatchKeySet, grad, self, dim, out); |
| 20338 | } |
| 20339 | |
| 20340 | // aten::_sparse_sum_backward.out(Tensor grad, Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20341 | inline at::Tensor & _sparse_sum_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & self, at::IntArrayRef dim, at::Tensor & out) { |
| 20342 | return at::_ops::_sparse_sum_backward_out::redispatch(dispatchKeySet, grad, self, dim, out); |
| 20343 | } |
| 20344 | |
| 20345 | // aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 20346 | inline at::Tensor & _sparse_csr_sum_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 20347 | return at::_ops::_sparse_csr_sum_dim_dtype_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 20348 | } |
| 20349 | |
| 20350 | // aten::_sparse_csr_sum.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 20351 | inline at::Tensor & _sparse_csr_sum_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 20352 | return at::_ops::_sparse_csr_sum_dim_dtype_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 20353 | } |
| 20354 | |
| 20355 | // aten::_sparse_csr_prod.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 20356 | inline at::Tensor & _sparse_csr_prod_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 20357 | return at::_ops::_sparse_csr_prod_dim_dtype_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 20358 | } |
| 20359 | |
| 20360 | // aten::_sparse_csr_prod.dim_dtype_out(Tensor self, int[1] dim, bool keepdim=False, *, ScalarType? dtype=None, Tensor(a!) out) -> Tensor(a!) |
| 20361 | inline at::Tensor & _sparse_csr_prod_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 20362 | return at::_ops::_sparse_csr_prod_dim_dtype_out::redispatch(dispatchKeySet, self, dim, keepdim, dtype, out); |
| 20363 | } |
| 20364 | |
| 20365 | // aten::_sparse_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 20366 | inline at::Tensor & _sparse_softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 20367 | return at::_ops::_sparse_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 20368 | } |
| 20369 | |
| 20370 | // aten::_sparse_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 20371 | inline at::Tensor & _sparse_softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) { |
| 20372 | return at::_ops::_sparse_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 20373 | } |
| 20374 | |
| 20375 | // aten::_sparse_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20376 | inline at::Tensor & _sparse_softmax_backward_data_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) { |
| 20377 | return at::_ops::_sparse_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, out); |
| 20378 | } |
| 20379 | |
| 20380 | // aten::_sparse_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20381 | inline at::Tensor & _sparse_softmax_backward_data_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self, at::Tensor & out) { |
| 20382 | return at::_ops::_sparse_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, out); |
| 20383 | } |
| 20384 | |
| 20385 | // aten::_sparse_log_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 20386 | inline at::Tensor & _sparse_log_softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, bool half_to_float) { |
| 20387 | return at::_ops::_sparse_log_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 20388 | } |
| 20389 | |
| 20390 | // aten::_sparse_log_softmax.out(Tensor self, int dim, bool half_to_float, *, Tensor(a!) out) -> Tensor(a!) |
| 20391 | inline at::Tensor & _sparse_log_softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, bool half_to_float, at::Tensor & out) { |
| 20392 | return at::_ops::_sparse_log_softmax_out::redispatch(dispatchKeySet, self, dim, half_to_float, out); |
| 20393 | } |
| 20394 | |
| 20395 | // aten::_sparse_log_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20396 | inline at::Tensor & _sparse_log_softmax_backward_data_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self) { |
| 20397 | return at::_ops::_sparse_log_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, out); |
| 20398 | } |
| 20399 | |
| 20400 | // aten::_sparse_log_softmax_backward_data.out(Tensor grad_output, Tensor output, int dim, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20401 | inline at::Tensor & _sparse_log_softmax_backward_data_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, int64_t dim, const at::Tensor & self, at::Tensor & out) { |
| 20402 | return at::_ops::_sparse_log_softmax_backward_data_out::redispatch(dispatchKeySet, grad_output, output, dim, self, out); |
| 20403 | } |
| 20404 | |
| 20405 | // aten::_spdiags.out(Tensor diagonals, Tensor offsets, int[] shape, Layout? layout=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20406 | inline at::Tensor & _spdiags_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & diagonals, const at::Tensor & offsets, at::IntArrayRef shape, c10::optional<at::Layout> layout=c10::nullopt) { |
| 20407 | return at::_ops::_spdiags_out::redispatch(dispatchKeySet, diagonals, offsets, shape, layout, out); |
| 20408 | } |
| 20409 | |
| 20410 | // aten::_spdiags.out(Tensor diagonals, Tensor offsets, int[] shape, Layout? layout=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20411 | inline at::Tensor & _spdiags_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & diagonals, const at::Tensor & offsets, at::IntArrayRef shape, c10::optional<at::Layout> layout, at::Tensor & out) { |
| 20412 | return at::_ops::_spdiags_out::redispatch(dispatchKeySet, diagonals, offsets, shape, layout, out); |
| 20413 | } |
| 20414 | |
| 20415 | // aten::norm.ScalarOpt_dtype_out(Tensor self, Scalar? p, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!) |
| 20416 | inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::ScalarType dtype) { |
| 20417 | return at::_ops::norm_ScalarOpt_dtype_out::redispatch(dispatchKeySet, self, p, dtype, out); |
| 20418 | } |
| 20419 | |
| 20420 | // aten::norm.ScalarOpt_dtype_out(Tensor self, Scalar? p, *, ScalarType dtype, Tensor(a!) out) -> Tensor(a!) |
| 20421 | inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::ScalarType dtype, at::Tensor & out) { |
| 20422 | return at::_ops::norm_ScalarOpt_dtype_out::redispatch(dispatchKeySet, self, p, dtype, out); |
| 20423 | } |
| 20424 | |
| 20425 | // aten::norm.Scalar_out(Tensor self, Scalar p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 20426 | inline at::Tensor & norm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & p=2) { |
| 20427 | return at::_ops::norm_Scalar_out::redispatch(dispatchKeySet, self, p, out); |
| 20428 | } |
| 20429 | |
| 20430 | // aten::norm.Scalar_out(Tensor self, Scalar p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 20431 | inline at::Tensor & norm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & p, at::Tensor & out) { |
| 20432 | return at::_ops::norm_Scalar_out::redispatch(dispatchKeySet, self, p, out); |
| 20433 | } |
| 20434 | |
| 20435 | // aten::clone.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20436 | inline at::Tensor & clone_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 20437 | return at::_ops::clone_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 20438 | } |
| 20439 | |
| 20440 | // aten::clone.out(Tensor self, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20441 | inline at::Tensor & clone_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 20442 | return at::_ops::clone_out::redispatch(dispatchKeySet, self, memory_format, out); |
| 20443 | } |
| 20444 | |
| 20445 | // aten::resize_as.out(Tensor self, Tensor the_template, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20446 | inline const at::Tensor & resize_as_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, const at::Tensor & the_template, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 20447 | return at::_ops::resize_as_out::redispatch(dispatchKeySet, self, the_template, memory_format, out); |
| 20448 | } |
| 20449 | |
| 20450 | // aten::resize_as.out(Tensor self, Tensor the_template, *, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20451 | inline const at::Tensor & resize_as_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, c10::optional<at::MemoryFormat> memory_format, const at::Tensor & out) { |
| 20452 | return at::_ops::resize_as_out::redispatch(dispatchKeySet, self, the_template, memory_format, out); |
| 20453 | } |
| 20454 | |
| 20455 | // aten::resize_as(Tensor self, Tensor the_template, *, MemoryFormat? memory_format=None) -> Tensor |
| 20456 | inline at::Tensor resize_as(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 20457 | return at::_ops::resize_as::redispatch(dispatchKeySet, self, the_template, memory_format); |
| 20458 | } |
| 20459 | |
| 20460 | // aten::resize_as_sparse.out(Tensor self, Tensor the_template, *, Tensor(a!) out) -> Tensor(a!) |
| 20461 | inline const at::Tensor & resize_as_sparse_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, const at::Tensor & the_template) { |
| 20462 | return at::_ops::resize_as_sparse_out::redispatch(dispatchKeySet, self, the_template, out); |
| 20463 | } |
| 20464 | |
| 20465 | // aten::resize_as_sparse.out(Tensor self, Tensor the_template, *, Tensor(a!) out) -> Tensor(a!) |
| 20466 | inline const at::Tensor & resize_as_sparse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template, const at::Tensor & out) { |
| 20467 | return at::_ops::resize_as_sparse_out::redispatch(dispatchKeySet, self, the_template, out); |
| 20468 | } |
| 20469 | |
| 20470 | // aten::resize_as_sparse(Tensor self, Tensor the_template) -> Tensor |
| 20471 | inline at::Tensor resize_as_sparse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & the_template) { |
| 20472 | return at::_ops::resize_as_sparse::redispatch(dispatchKeySet, self, the_template); |
| 20473 | } |
| 20474 | |
| 20475 | // aten::zero.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20476 | inline at::Tensor & zero_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20477 | return at::_ops::zero_out::redispatch(dispatchKeySet, self, out); |
| 20478 | } |
| 20479 | |
| 20480 | // aten::zero.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20481 | inline at::Tensor & zero_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20482 | return at::_ops::zero_out::redispatch(dispatchKeySet, self, out); |
| 20483 | } |
| 20484 | |
| 20485 | // aten::zero(Tensor self) -> Tensor |
| 20486 | inline at::Tensor zero(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 20487 | return at::_ops::zero::redispatch(dispatchKeySet, self); |
| 20488 | } |
| 20489 | |
| 20490 | // aten::sub.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20491 | inline at::Tensor & sub_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 20492 | return at::_ops::sub_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 20493 | } |
| 20494 | |
| 20495 | // aten::sub.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20496 | inline at::Tensor & sub_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha, at::Tensor & out) { |
| 20497 | return at::_ops::sub_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 20498 | } |
| 20499 | |
| 20500 | // aten::rsub.Tensor_out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 20501 | inline at::Tensor & rsub_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha=1) { |
| 20502 | return at::_ops::rsub_Tensor_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 20503 | } |
| 20504 | |
| 20505 | // aten::rsub.Tensor_out(Tensor self, Tensor other, *, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 20506 | inline at::Tensor & rsub_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) { |
| 20507 | return at::_ops::rsub_Tensor_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 20508 | } |
| 20509 | |
| 20510 | // aten::rsub.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20511 | inline at::Tensor & rsub_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha=1) { |
| 20512 | return at::_ops::rsub_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 20513 | } |
| 20514 | |
| 20515 | // aten::rsub.Scalar_out(Tensor self, Scalar other, Scalar alpha=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20516 | inline at::Tensor & rsub_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha, at::Tensor & out) { |
| 20517 | return at::_ops::rsub_Scalar_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 20518 | } |
| 20519 | |
| 20520 | // aten::_sparse_addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 20521 | inline at::Tensor & _sparse_addmm_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) { |
| 20522 | return at::_ops::_sparse_addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 20523 | } |
| 20524 | |
| 20525 | // aten::_sparse_addmm.out(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, Tensor(a!) out) -> Tensor(a!) |
| 20526 | inline at::Tensor & _sparse_addmm_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, at::Tensor & out) { |
| 20527 | return at::_ops::_sparse_addmm_out::redispatch(dispatchKeySet, self, mat1, mat2, beta, alpha, out); |
| 20528 | } |
| 20529 | |
| 20530 | // aten::sparse_coo_tensor.size_out(int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20531 | inline at::Tensor & sparse_coo_tensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::IntArrayRef size) { |
| 20532 | return at::_ops::sparse_coo_tensor_size_out::redispatch(dispatchKeySet, size, out); |
| 20533 | } |
| 20534 | |
| 20535 | // aten::sparse_coo_tensor.size_out(int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20536 | inline at::Tensor & sparse_coo_tensor_outf(c10::DispatchKeySet dispatchKeySet, at::IntArrayRef size, at::Tensor & out) { |
| 20537 | return at::_ops::sparse_coo_tensor_size_out::redispatch(dispatchKeySet, size, out); |
| 20538 | } |
| 20539 | |
| 20540 | // aten::_sparse_coo_tensor_with_dims.out(int sparse_dim, int dense_dim, int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20541 | inline at::Tensor & _sparse_coo_tensor_with_dims_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size) { |
| 20542 | return at::_ops::_sparse_coo_tensor_with_dims_out::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, out); |
| 20543 | } |
| 20544 | |
| 20545 | // aten::_sparse_coo_tensor_with_dims.out(int sparse_dim, int dense_dim, int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 20546 | inline at::Tensor & _sparse_coo_tensor_with_dims_outf(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, at::Tensor & out) { |
| 20547 | return at::_ops::_sparse_coo_tensor_with_dims_out::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, out); |
| 20548 | } |
| 20549 | |
| 20550 | // aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, Tensor(a!) out) -> Tensor(a!) |
| 20551 | inline at::Tensor & _sparse_coo_tensor_with_dims_and_tensors_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values) { |
| 20552 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors_out::redispatch(dispatchKeySet, sparse_dim, dense_dim, c10::fromIntArrayRefSlow(size), indices, values, out); |
| 20553 | } |
| 20554 | |
| 20555 | // aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, Tensor(a!) out) -> Tensor(a!) |
| 20556 | inline at::Tensor & _sparse_coo_tensor_with_dims_and_tensors_outf(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, at::IntArrayRef size, const at::Tensor & indices, const at::Tensor & values, at::Tensor & out) { |
| 20557 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors_out::redispatch(dispatchKeySet, sparse_dim, dense_dim, c10::fromIntArrayRefSlow(size), indices, values, out); |
| 20558 | } |
| 20559 | |
| 20560 | // aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, Tensor(a!) out) -> Tensor(a!) |
| 20561 | inline at::Tensor & _sparse_coo_tensor_with_dims_and_tensors_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values) { |
| 20562 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors_out::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, indices, values, out); |
| 20563 | } |
| 20564 | |
| 20565 | // aten::_sparse_coo_tensor_with_dims_and_tensors.out(int sparse_dim, int dense_dim, SymInt[] size, Tensor indices, Tensor values, *, Tensor(a!) out) -> Tensor(a!) |
| 20566 | inline at::Tensor & _sparse_coo_tensor_with_dims_and_tensors_symint_outf(c10::DispatchKeySet dispatchKeySet, int64_t sparse_dim, int64_t dense_dim, c10::SymIntArrayRef size, const at::Tensor & indices, const at::Tensor & values, at::Tensor & out) { |
| 20567 | return at::_ops::_sparse_coo_tensor_with_dims_and_tensors_out::redispatch(dispatchKeySet, sparse_dim, dense_dim, size, indices, values, out); |
| 20568 | } |
| 20569 | |
| 20570 | // aten::sparse_resize.out(Tensor self, int[] size, int sparse_dim, int dense_dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20571 | inline const at::Tensor & sparse_resize_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) { |
| 20572 | return at::_ops::sparse_resize_out::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim, out); |
| 20573 | } |
| 20574 | |
| 20575 | // aten::sparse_resize.out(Tensor self, int[] size, int sparse_dim, int dense_dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20576 | inline const at::Tensor & sparse_resize_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim, const at::Tensor & out) { |
| 20577 | return at::_ops::sparse_resize_out::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim, out); |
| 20578 | } |
| 20579 | |
| 20580 | // aten::sparse_resize(Tensor self, int[] size, int sparse_dim, int dense_dim) -> Tensor |
| 20581 | inline at::Tensor sparse_resize(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) { |
| 20582 | return at::_ops::sparse_resize::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim); |
| 20583 | } |
| 20584 | |
| 20585 | // aten::sparse_resize_and_clear.out(Tensor self, int[] size, int sparse_dim, int dense_dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20586 | inline const at::Tensor & sparse_resize_and_clear_out(c10::DispatchKeySet dispatchKeySet, const at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) { |
| 20587 | return at::_ops::sparse_resize_and_clear_out::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim, out); |
| 20588 | } |
| 20589 | |
| 20590 | // aten::sparse_resize_and_clear.out(Tensor self, int[] size, int sparse_dim, int dense_dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20591 | inline const at::Tensor & sparse_resize_and_clear_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim, const at::Tensor & out) { |
| 20592 | return at::_ops::sparse_resize_and_clear_out::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim, out); |
| 20593 | } |
| 20594 | |
| 20595 | // aten::sparse_resize_and_clear(Tensor self, int[] size, int sparse_dim, int dense_dim) -> Tensor |
| 20596 | inline at::Tensor sparse_resize_and_clear(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) { |
| 20597 | return at::_ops::sparse_resize_and_clear::redispatch(dispatchKeySet, self, size, sparse_dim, dense_dim); |
| 20598 | } |
| 20599 | |
| 20600 | // aten::sparse_mask.out(Tensor self, Tensor mask, *, Tensor(a!) out) -> Tensor(a!) |
| 20601 | inline at::Tensor & sparse_mask_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask) { |
| 20602 | return at::_ops::sparse_mask_out::redispatch(dispatchKeySet, self, mask, out); |
| 20603 | } |
| 20604 | |
| 20605 | // aten::sparse_mask.out(Tensor self, Tensor mask, *, Tensor(a!) out) -> Tensor(a!) |
| 20606 | inline at::Tensor & sparse_mask_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, at::Tensor & out) { |
| 20607 | return at::_ops::sparse_mask_out::redispatch(dispatchKeySet, self, mask, out); |
| 20608 | } |
| 20609 | |
| 20610 | // aten::_to_dense.out(Tensor self, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20611 | inline at::Tensor & _to_dense_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 20612 | return at::_ops::_to_dense_out::redispatch(dispatchKeySet, self, dtype, out); |
| 20613 | } |
| 20614 | |
| 20615 | // aten::_to_dense.out(Tensor self, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20616 | inline at::Tensor & _to_dense_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 20617 | return at::_ops::_to_dense_out::redispatch(dispatchKeySet, self, dtype, out); |
| 20618 | } |
| 20619 | |
| 20620 | // aten::_coalesce.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20621 | inline at::Tensor & _coalesce_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20622 | return at::_ops::_coalesce_out::redispatch(dispatchKeySet, self, out); |
| 20623 | } |
| 20624 | |
| 20625 | // aten::_coalesce.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20626 | inline at::Tensor & _coalesce_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20627 | return at::_ops::_coalesce_out::redispatch(dispatchKeySet, self, out); |
| 20628 | } |
| 20629 | |
| 20630 | // aten::_coalesced.out(Tensor self, bool coalesced, *, Tensor(a!) out) -> Tensor(a!) |
| 20631 | inline at::Tensor & _coalesced_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool coalesced) { |
| 20632 | return at::_ops::_coalesced_out::redispatch(dispatchKeySet, self, coalesced, out); |
| 20633 | } |
| 20634 | |
| 20635 | // aten::_coalesced.out(Tensor self, bool coalesced, *, Tensor(a!) out) -> Tensor(a!) |
| 20636 | inline at::Tensor & _coalesced_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool coalesced, at::Tensor & out) { |
| 20637 | return at::_ops::_coalesced_out::redispatch(dispatchKeySet, self, coalesced, out); |
| 20638 | } |
| 20639 | |
| 20640 | // aten::_coalesced(Tensor self, bool coalesced) -> Tensor |
| 20641 | inline at::Tensor _coalesced(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool coalesced) { |
| 20642 | return at::_ops::_coalesced::redispatch(dispatchKeySet, self, coalesced); |
| 20643 | } |
| 20644 | |
| 20645 | // aten::copy_sparse_to_sparse.out(Tensor self, Tensor src, bool non_blocking=False, *, Tensor(a!) out) -> Tensor(a!) |
| 20646 | inline at::Tensor & copy_sparse_to_sparse_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & src, bool non_blocking=false) { |
| 20647 | return at::_ops::copy_sparse_to_sparse_out::redispatch(dispatchKeySet, self, src, non_blocking, out); |
| 20648 | } |
| 20649 | |
| 20650 | // aten::copy_sparse_to_sparse.out(Tensor self, Tensor src, bool non_blocking=False, *, Tensor(a!) out) -> Tensor(a!) |
| 20651 | inline at::Tensor & copy_sparse_to_sparse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, bool non_blocking, at::Tensor & out) { |
| 20652 | return at::_ops::copy_sparse_to_sparse_out::redispatch(dispatchKeySet, self, src, non_blocking, out); |
| 20653 | } |
| 20654 | |
| 20655 | // aten::copy_sparse_to_sparse(Tensor self, Tensor src, bool non_blocking=False) -> Tensor |
| 20656 | inline at::Tensor copy_sparse_to_sparse(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & src, bool non_blocking=false) { |
| 20657 | return at::_ops::copy_sparse_to_sparse::redispatch(dispatchKeySet, self, src, non_blocking); |
| 20658 | } |
| 20659 | |
| 20660 | // aten::to_sparse.sparse_dim_out(Tensor self, int sparse_dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20661 | inline at::Tensor & to_sparse_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t sparse_dim) { |
| 20662 | return at::_ops::to_sparse_sparse_dim_out::redispatch(dispatchKeySet, self, sparse_dim, out); |
| 20663 | } |
| 20664 | |
| 20665 | // aten::to_sparse.sparse_dim_out(Tensor self, int sparse_dim, *, Tensor(a!) out) -> Tensor(a!) |
| 20666 | inline at::Tensor & to_sparse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t sparse_dim, at::Tensor & out) { |
| 20667 | return at::_ops::to_sparse_sparse_dim_out::redispatch(dispatchKeySet, self, sparse_dim, out); |
| 20668 | } |
| 20669 | |
| 20670 | // aten::to_sparse.out(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None, Tensor(a!) out) -> Tensor(a!) |
| 20671 | inline at::Tensor & to_sparse_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Layout> layout=c10::nullopt, at::OptionalIntArrayRef blocksize=c10::nullopt, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 20672 | return at::_ops::to_sparse_out::redispatch(dispatchKeySet, self, layout, blocksize, dense_dim, out); |
| 20673 | } |
| 20674 | |
| 20675 | // aten::to_sparse.out(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None, Tensor(a!) out) -> Tensor(a!) |
| 20676 | inline at::Tensor & to_sparse_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Layout> layout, at::OptionalIntArrayRef blocksize, c10::optional<int64_t> dense_dim, at::Tensor & out) { |
| 20677 | return at::_ops::to_sparse_out::redispatch(dispatchKeySet, self, layout, blocksize, dense_dim, out); |
| 20678 | } |
| 20679 | |
| 20680 | // aten::to_sparse_csr.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20681 | inline at::Tensor & to_sparse_csr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 20682 | return at::_ops::to_sparse_csr_out::redispatch(dispatchKeySet, self, dense_dim, out); |
| 20683 | } |
| 20684 | |
| 20685 | // aten::to_sparse_csr.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20686 | inline at::Tensor & to_sparse_csr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dense_dim, at::Tensor & out) { |
| 20687 | return at::_ops::to_sparse_csr_out::redispatch(dispatchKeySet, self, dense_dim, out); |
| 20688 | } |
| 20689 | |
| 20690 | // aten::to_sparse_csc.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20691 | inline at::Tensor & to_sparse_csc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 20692 | return at::_ops::to_sparse_csc_out::redispatch(dispatchKeySet, self, dense_dim, out); |
| 20693 | } |
| 20694 | |
| 20695 | // aten::to_sparse_csc.out(Tensor self, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20696 | inline at::Tensor & to_sparse_csc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<int64_t> dense_dim, at::Tensor & out) { |
| 20697 | return at::_ops::to_sparse_csc_out::redispatch(dispatchKeySet, self, dense_dim, out); |
| 20698 | } |
| 20699 | |
| 20700 | // aten::to_sparse_bsr.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20701 | inline at::Tensor & to_sparse_bsr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 20702 | return at::_ops::to_sparse_bsr_out::redispatch(dispatchKeySet, self, blocksize, dense_dim, out); |
| 20703 | } |
| 20704 | |
| 20705 | // aten::to_sparse_bsr.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20706 | inline at::Tensor & to_sparse_bsr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim, at::Tensor & out) { |
| 20707 | return at::_ops::to_sparse_bsr_out::redispatch(dispatchKeySet, self, blocksize, dense_dim, out); |
| 20708 | } |
| 20709 | |
| 20710 | // aten::to_sparse_bsc.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20711 | inline at::Tensor & to_sparse_bsc_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim=c10::nullopt) { |
| 20712 | return at::_ops::to_sparse_bsc_out::redispatch(dispatchKeySet, self, blocksize, dense_dim, out); |
| 20713 | } |
| 20714 | |
| 20715 | // aten::to_sparse_bsc.out(Tensor self, int[2] blocksize, int? dense_dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20716 | inline at::Tensor & to_sparse_bsc_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim, at::Tensor & out) { |
| 20717 | return at::_ops::to_sparse_bsc_out::redispatch(dispatchKeySet, self, blocksize, dense_dim, out); |
| 20718 | } |
| 20719 | |
| 20720 | // aten::to_mkldnn.out(Tensor self, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20721 | inline at::Tensor & to_mkldnn_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::ScalarType> dtype=c10::nullopt) { |
| 20722 | return at::_ops::to_mkldnn_out::redispatch(dispatchKeySet, self, dtype, out); |
| 20723 | } |
| 20724 | |
| 20725 | // aten::to_mkldnn.out(Tensor self, ScalarType? dtype=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20726 | inline at::Tensor & to_mkldnn_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 20727 | return at::_ops::to_mkldnn_out::redispatch(dispatchKeySet, self, dtype, out); |
| 20728 | } |
| 20729 | |
| 20730 | // aten::mkldnn_reorder_conv2d_weight.out(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1, int[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20731 | inline at::Tensor & mkldnn_reorder_conv2d_weight_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding=0, at::IntArrayRef stride=1, at::IntArrayRef dilation=1, int64_t groups=1, at::OptionalIntArrayRef input_size=c10::nullopt) { |
| 20732 | return at::_ops::mkldnn_reorder_conv2d_weight_out::redispatch(dispatchKeySet, self, padding, stride, dilation, groups, input_size, out); |
| 20733 | } |
| 20734 | |
| 20735 | // aten::mkldnn_reorder_conv2d_weight.out(Tensor self, int[2] padding=0, int[2] stride=1, int[2] dilation=1, int groups=1, int[]? input_size=None, *, Tensor(a!) out) -> Tensor(a!) |
| 20736 | inline at::Tensor & mkldnn_reorder_conv2d_weight_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, at::OptionalIntArrayRef input_size, at::Tensor & out) { |
| 20737 | return at::_ops::mkldnn_reorder_conv2d_weight_out::redispatch(dispatchKeySet, self, padding, stride, dilation, groups, input_size, out); |
| 20738 | } |
| 20739 | |
| 20740 | // aten::mkldnn_reorder_conv3d_weight.out(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20741 | inline at::Tensor & mkldnn_reorder_conv3d_weight_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef padding=0, at::IntArrayRef stride=1, at::IntArrayRef dilation=1, int64_t groups=1) { |
| 20742 | return at::_ops::mkldnn_reorder_conv3d_weight_out::redispatch(dispatchKeySet, self, padding, stride, dilation, groups, out); |
| 20743 | } |
| 20744 | |
| 20745 | // aten::mkldnn_reorder_conv3d_weight.out(Tensor self, int[3] padding=0, int[3] stride=1, int[3] dilation=1, int groups=1, *, Tensor(a!) out) -> Tensor(a!) |
| 20746 | inline at::Tensor & mkldnn_reorder_conv3d_weight_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef padding, at::IntArrayRef stride, at::IntArrayRef dilation, int64_t groups, at::Tensor & out) { |
| 20747 | return at::_ops::mkldnn_reorder_conv3d_weight_out::redispatch(dispatchKeySet, self, padding, stride, dilation, groups, out); |
| 20748 | } |
| 20749 | |
| 20750 | // aten::quantize_per_tensor_dynamic.out(Tensor self, ScalarType dtype, bool reduce_range, *, Tensor(a!) out) -> Tensor(a!) |
| 20751 | inline at::Tensor & quantize_per_tensor_dynamic_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::ScalarType dtype, bool reduce_range) { |
| 20752 | return at::_ops::quantize_per_tensor_dynamic_out::redispatch(dispatchKeySet, self, dtype, reduce_range, out); |
| 20753 | } |
| 20754 | |
| 20755 | // aten::quantize_per_tensor_dynamic.out(Tensor self, ScalarType dtype, bool reduce_range, *, Tensor(a!) out) -> Tensor(a!) |
| 20756 | inline at::Tensor & quantize_per_tensor_dynamic_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype, bool reduce_range, at::Tensor & out) { |
| 20757 | return at::_ops::quantize_per_tensor_dynamic_out::redispatch(dispatchKeySet, self, dtype, reduce_range, out); |
| 20758 | } |
| 20759 | |
| 20760 | // aten::quantize_per_tensor.out(Tensor self, float scale, int zero_point, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20761 | inline at::Tensor & quantize_per_tensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double scale, int64_t zero_point, at::ScalarType dtype) { |
| 20762 | return at::_ops::quantize_per_tensor_out::redispatch(dispatchKeySet, self, scale, zero_point, dtype, out); |
| 20763 | } |
| 20764 | |
| 20765 | // aten::quantize_per_tensor.out(Tensor self, float scale, int zero_point, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20766 | inline at::Tensor & quantize_per_tensor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, at::ScalarType dtype, at::Tensor & out) { |
| 20767 | return at::_ops::quantize_per_tensor_out::redispatch(dispatchKeySet, self, scale, zero_point, dtype, out); |
| 20768 | } |
| 20769 | |
| 20770 | // aten::quantize_per_tensor.tensor_qparams_out(Tensor self, Tensor scale, Tensor zero_point, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20771 | inline at::Tensor & quantize_per_tensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, at::ScalarType dtype) { |
| 20772 | return at::_ops::quantize_per_tensor_tensor_qparams_out::redispatch(dispatchKeySet, self, scale, zero_point, dtype, out); |
| 20773 | } |
| 20774 | |
| 20775 | // aten::quantize_per_tensor.tensor_qparams_out(Tensor self, Tensor scale, Tensor zero_point, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20776 | inline at::Tensor & quantize_per_tensor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, at::ScalarType dtype, at::Tensor & out) { |
| 20777 | return at::_ops::quantize_per_tensor_tensor_qparams_out::redispatch(dispatchKeySet, self, scale, zero_point, dtype, out); |
| 20778 | } |
| 20779 | |
| 20780 | // aten::quantize_per_tensor.tensors_out(Tensor[] tensors, Tensor scales, Tensor zero_points, ScalarType dtype, *, Tensor(a!)[] out) -> () |
| 20781 | inline void quantize_per_tensor_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList tensors, const at::Tensor & scales, const at::Tensor & zero_points, at::ScalarType dtype) { |
| 20782 | return at::_ops::quantize_per_tensor_tensors_out::redispatch(dispatchKeySet, tensors, scales, zero_points, dtype, out); |
| 20783 | } |
| 20784 | |
| 20785 | // aten::quantize_per_tensor.tensors_out(Tensor[] tensors, Tensor scales, Tensor zero_points, ScalarType dtype, *, Tensor(a!)[] out) -> () |
| 20786 | inline void quantize_per_tensor_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, const at::Tensor & scales, const at::Tensor & zero_points, at::ScalarType dtype, at::TensorList out) { |
| 20787 | return at::_ops::quantize_per_tensor_tensors_out::redispatch(dispatchKeySet, tensors, scales, zero_points, dtype, out); |
| 20788 | } |
| 20789 | |
| 20790 | // aten::quantize_per_channel.out(Tensor self, Tensor scales, Tensor zero_points, int axis, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20791 | inline at::Tensor & quantize_per_channel_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, at::ScalarType dtype) { |
| 20792 | return at::_ops::quantize_per_channel_out::redispatch(dispatchKeySet, self, scales, zero_points, axis, dtype, out); |
| 20793 | } |
| 20794 | |
| 20795 | // aten::quantize_per_channel.out(Tensor self, Tensor scales, Tensor zero_points, int axis, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 20796 | inline at::Tensor & quantize_per_channel_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scales, const at::Tensor & zero_points, int64_t axis, at::ScalarType dtype, at::Tensor & out) { |
| 20797 | return at::_ops::quantize_per_channel_out::redispatch(dispatchKeySet, self, scales, zero_points, axis, dtype, out); |
| 20798 | } |
| 20799 | |
| 20800 | // aten::dequantize.self_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20801 | inline at::Tensor & dequantize_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20802 | return at::_ops::dequantize_self_out::redispatch(dispatchKeySet, self, out); |
| 20803 | } |
| 20804 | |
| 20805 | // aten::dequantize.self_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20806 | inline at::Tensor & dequantize_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20807 | return at::_ops::dequantize_self_out::redispatch(dispatchKeySet, self, out); |
| 20808 | } |
| 20809 | |
| 20810 | // aten::dequantize.tensors_out(Tensor[] tensors, *, Tensor(a!)[] out) -> () |
| 20811 | inline void dequantize_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList tensors) { |
| 20812 | return at::_ops::dequantize_tensors_out::redispatch(dispatchKeySet, tensors, out); |
| 20813 | } |
| 20814 | |
| 20815 | // aten::dequantize.tensors_out(Tensor[] tensors, *, Tensor(a!)[] out) -> () |
| 20816 | inline void dequantize_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList tensors, at::TensorList out) { |
| 20817 | return at::_ops::dequantize_tensors_out::redispatch(dispatchKeySet, tensors, out); |
| 20818 | } |
| 20819 | |
| 20820 | // aten::q_per_channel_scales.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20821 | inline at::Tensor & q_per_channel_scales_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20822 | return at::_ops::q_per_channel_scales_out::redispatch(dispatchKeySet, self, out); |
| 20823 | } |
| 20824 | |
| 20825 | // aten::q_per_channel_scales.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20826 | inline at::Tensor & q_per_channel_scales_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20827 | return at::_ops::q_per_channel_scales_out::redispatch(dispatchKeySet, self, out); |
| 20828 | } |
| 20829 | |
| 20830 | // aten::q_per_channel_zero_points.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20831 | inline at::Tensor & q_per_channel_zero_points_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20832 | return at::_ops::q_per_channel_zero_points_out::redispatch(dispatchKeySet, self, out); |
| 20833 | } |
| 20834 | |
| 20835 | // aten::q_per_channel_zero_points.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20836 | inline at::Tensor & q_per_channel_zero_points_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20837 | return at::_ops::q_per_channel_zero_points_out::redispatch(dispatchKeySet, self, out); |
| 20838 | } |
| 20839 | |
| 20840 | // aten::int_repr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20841 | inline at::Tensor & int_repr_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 20842 | return at::_ops::int_repr_out::redispatch(dispatchKeySet, self, out); |
| 20843 | } |
| 20844 | |
| 20845 | // aten::int_repr.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 20846 | inline at::Tensor & int_repr_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 20847 | return at::_ops::int_repr_out::redispatch(dispatchKeySet, self, out); |
| 20848 | } |
| 20849 | |
| 20850 | // aten::_make_per_tensor_quantized_tensor.out(Tensor self, float scale, int zero_point, *, Tensor(a!) out) -> Tensor(a!) |
| 20851 | inline at::Tensor & _make_per_tensor_quantized_tensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double scale, int64_t zero_point) { |
| 20852 | return at::_ops::_make_per_tensor_quantized_tensor_out::redispatch(dispatchKeySet, self, scale, zero_point, out); |
| 20853 | } |
| 20854 | |
| 20855 | // aten::_make_per_tensor_quantized_tensor.out(Tensor self, float scale, int zero_point, *, Tensor(a!) out) -> Tensor(a!) |
| 20856 | inline at::Tensor & _make_per_tensor_quantized_tensor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, at::Tensor & out) { |
| 20857 | return at::_ops::_make_per_tensor_quantized_tensor_out::redispatch(dispatchKeySet, self, scale, zero_point, out); |
| 20858 | } |
| 20859 | |
| 20860 | // aten::_make_per_channel_quantized_tensor.out(Tensor self, Tensor scale, Tensor zero_point, int axis, *, Tensor(a!) out) -> Tensor(a!) |
| 20861 | inline at::Tensor & _make_per_channel_quantized_tensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis) { |
| 20862 | return at::_ops::_make_per_channel_quantized_tensor_out::redispatch(dispatchKeySet, self, scale, zero_point, axis, out); |
| 20863 | } |
| 20864 | |
| 20865 | // aten::_make_per_channel_quantized_tensor.out(Tensor self, Tensor scale, Tensor zero_point, int axis, *, Tensor(a!) out) -> Tensor(a!) |
| 20866 | inline at::Tensor & _make_per_channel_quantized_tensor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, at::Tensor & out) { |
| 20867 | return at::_ops::_make_per_channel_quantized_tensor_out::redispatch(dispatchKeySet, self, scale, zero_point, axis, out); |
| 20868 | } |
| 20869 | |
| 20870 | // aten::fake_quantize_per_tensor_affine_cachemask.out(Tensor self, float scale, int zero_point, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20871 | inline ::std::tuple<at::Tensor &,at::Tensor &> fake_quantize_per_tensor_affine_cachemask_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) { |
| 20872 | return at::_ops::fake_quantize_per_tensor_affine_cachemask_out::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max, out0, out1); |
| 20873 | } |
| 20874 | |
| 20875 | // aten::fake_quantize_per_tensor_affine_cachemask.out(Tensor self, float scale, int zero_point, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20876 | inline ::std::tuple<at::Tensor &,at::Tensor &> fake_quantize_per_tensor_affine_cachemask_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max, at::Tensor & out0, at::Tensor & out1) { |
| 20877 | return at::_ops::fake_quantize_per_tensor_affine_cachemask_out::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max, out0, out1); |
| 20878 | } |
| 20879 | |
| 20880 | // aten::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.out(Tensor self, Tensor scale, Tensor zero_point, Tensor fake_quant_enabled, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20881 | inline ::std::tuple<at::Tensor &,at::Tensor &> _fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, const at::Tensor & fake_quant_enabled, int64_t quant_min, int64_t quant_max) { |
| 20882 | return at::_ops::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out::redispatch(dispatchKeySet, self, scale, zero_point, fake_quant_enabled, quant_min, quant_max, out0, out1); |
| 20883 | } |
| 20884 | |
| 20885 | // aten::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams.out(Tensor self, Tensor scale, Tensor zero_point, Tensor fake_quant_enabled, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20886 | inline ::std::tuple<at::Tensor &,at::Tensor &> _fake_quantize_per_tensor_affine_cachemask_tensor_qparams_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, const at::Tensor & fake_quant_enabled, int64_t quant_min, int64_t quant_max, at::Tensor & out0, at::Tensor & out1) { |
| 20887 | return at::_ops::_fake_quantize_per_tensor_affine_cachemask_tensor_qparams_out::redispatch(dispatchKeySet, self, scale, zero_point, fake_quant_enabled, quant_min, quant_max, out0, out1); |
| 20888 | } |
| 20889 | |
| 20890 | // aten::_fake_quantize_learnable_per_tensor_affine.out(Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max, float grad_factor=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 20891 | inline at::Tensor & _fake_quantize_learnable_per_tensor_affine_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) { |
| 20892 | return at::_ops::_fake_quantize_learnable_per_tensor_affine_out::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max, grad_factor, out); |
| 20893 | } |
| 20894 | |
| 20895 | // aten::_fake_quantize_learnable_per_tensor_affine.out(Tensor self, Tensor scale, Tensor zero_point, int quant_min, int quant_max, float grad_factor=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 20896 | inline at::Tensor & _fake_quantize_learnable_per_tensor_affine_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max, double grad_factor, at::Tensor & out) { |
| 20897 | return at::_ops::_fake_quantize_learnable_per_tensor_affine_out::redispatch(dispatchKeySet, self, scale, zero_point, quant_min, quant_max, grad_factor, out); |
| 20898 | } |
| 20899 | |
| 20900 | // aten::fake_quantize_per_channel_affine_cachemask.out(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20901 | inline ::std::tuple<at::Tensor &,at::Tensor &> fake_quantize_per_channel_affine_cachemask_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max) { |
| 20902 | return at::_ops::fake_quantize_per_channel_affine_cachemask_out::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max, out0, out1); |
| 20903 | } |
| 20904 | |
| 20905 | // aten::fake_quantize_per_channel_affine_cachemask.out(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20906 | inline ::std::tuple<at::Tensor &,at::Tensor &> fake_quantize_per_channel_affine_cachemask_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max, at::Tensor & out0, at::Tensor & out1) { |
| 20907 | return at::_ops::fake_quantize_per_channel_affine_cachemask_out::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max, out0, out1); |
| 20908 | } |
| 20909 | |
| 20910 | // aten::_fake_quantize_learnable_per_channel_affine.out(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, float grad_factor=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 20911 | inline at::Tensor & _fake_quantize_learnable_per_channel_affine_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max, double grad_factor=1.0) { |
| 20912 | return at::_ops::_fake_quantize_learnable_per_channel_affine_out::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max, grad_factor, out); |
| 20913 | } |
| 20914 | |
| 20915 | // aten::_fake_quantize_learnable_per_channel_affine.out(Tensor self, Tensor scale, Tensor zero_point, int axis, int quant_min, int quant_max, float grad_factor=1.0, *, Tensor(a!) out) -> Tensor(a!) |
| 20916 | inline at::Tensor & _fake_quantize_learnable_per_channel_affine_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max, double grad_factor, at::Tensor & out) { |
| 20917 | return at::_ops::_fake_quantize_learnable_per_channel_affine_out::redispatch(dispatchKeySet, self, scale, zero_point, axis, quant_min, quant_max, grad_factor, out); |
| 20918 | } |
| 20919 | |
| 20920 | // aten::_fused_moving_avg_obs_fq_helper.out(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor(a!) running_min, Tensor(b!) running_max, Tensor(c!) scale, Tensor(d!) zero_point, float averaging_const, int quant_min, int quant_max, int ch_axis, bool per_row_fake_quant=False, bool symmetric_quant=False, *, Tensor(e!) out0, Tensor(f!) out1) -> (Tensor(e!), Tensor(f!)) |
| 20921 | inline ::std::tuple<at::Tensor &,at::Tensor &> _fused_moving_avg_obs_fq_helper_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, const at::Tensor & observer_on, const at::Tensor & fake_quant_on, at::Tensor & running_min, at::Tensor & running_max, at::Tensor & scale, at::Tensor & zero_point, double averaging_const, int64_t quant_min, int64_t quant_max, int64_t ch_axis, bool per_row_fake_quant=false, bool symmetric_quant=false) { |
| 20922 | return at::_ops::_fused_moving_avg_obs_fq_helper_out::redispatch(dispatchKeySet, self, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant, symmetric_quant, out0, out1); |
| 20923 | } |
| 20924 | |
| 20925 | // aten::_fused_moving_avg_obs_fq_helper.out(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor(a!) running_min, Tensor(b!) running_max, Tensor(c!) scale, Tensor(d!) zero_point, float averaging_const, int quant_min, int quant_max, int ch_axis, bool per_row_fake_quant=False, bool symmetric_quant=False, *, Tensor(e!) out0, Tensor(f!) out1) -> (Tensor(e!), Tensor(f!)) |
| 20926 | inline ::std::tuple<at::Tensor &,at::Tensor &> _fused_moving_avg_obs_fq_helper_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & observer_on, const at::Tensor & fake_quant_on, at::Tensor & running_min, at::Tensor & running_max, at::Tensor & scale, at::Tensor & zero_point, double averaging_const, int64_t quant_min, int64_t quant_max, int64_t ch_axis, bool per_row_fake_quant, bool symmetric_quant, at::Tensor & out0, at::Tensor & out1) { |
| 20927 | return at::_ops::_fused_moving_avg_obs_fq_helper_out::redispatch(dispatchKeySet, self, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant, symmetric_quant, out0, out1); |
| 20928 | } |
| 20929 | |
| 20930 | // aten::_fused_moving_avg_obs_fq_helper_functional(Tensor self, Tensor observer_on, Tensor fake_quant_on, Tensor running_min, Tensor running_max, Tensor scale, Tensor zero_point, float averaging_const, int quant_min, int quant_max, int ch_axis, bool per_row_fake_quant=False, bool symmetric_quant=False) -> (Tensor output, Tensor mask, Tensor running_min_out, Tensor running_max_out, Tensor scale_out, Tensor zero_point_out) |
| 20931 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _fused_moving_avg_obs_fq_helper_functional(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & observer_on, const at::Tensor & fake_quant_on, const at::Tensor & running_min, const at::Tensor & running_max, const at::Tensor & scale, const at::Tensor & zero_point, double averaging_const, int64_t quant_min, int64_t quant_max, int64_t ch_axis, bool per_row_fake_quant=false, bool symmetric_quant=false) { |
| 20932 | return at::_ops::_fused_moving_avg_obs_fq_helper_functional::redispatch(dispatchKeySet, self, observer_on, fake_quant_on, running_min, running_max, scale, zero_point, averaging_const, quant_min, quant_max, ch_axis, per_row_fake_quant, symmetric_quant); |
| 20933 | } |
| 20934 | |
| 20935 | // aten::_to_copy.out(Tensor self, *, bool non_blocking=False, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20936 | inline at::Tensor & _to_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool non_blocking=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) { |
| 20937 | return at::_ops::_to_copy_out::redispatch(dispatchKeySet, self, non_blocking, memory_format, out); |
| 20938 | } |
| 20939 | |
| 20940 | // aten::_to_copy.out(Tensor self, *, bool non_blocking=False, MemoryFormat? memory_format=None, Tensor(a!) out) -> Tensor(a!) |
| 20941 | inline at::Tensor & _to_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool non_blocking, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 20942 | return at::_ops::_to_copy_out::redispatch(dispatchKeySet, self, non_blocking, memory_format, out); |
| 20943 | } |
| 20944 | |
| 20945 | // aten::_lstm_mps.out(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 20946 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _lstm_mps_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 20947 | return at::_ops::_lstm_mps_out::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first, out0, out1, out2, out3, out4); |
| 20948 | } |
| 20949 | |
| 20950 | // aten::_lstm_mps.out(Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 20951 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _lstm_mps_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4) { |
| 20952 | return at::_ops::_lstm_mps_out::redispatch(dispatchKeySet, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first, out0, out1, out2, out3, out4); |
| 20953 | } |
| 20954 | |
| 20955 | // aten::lstm_mps_backward.out(Tensor grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!)[] out1, Tensor(c!)[] out2) -> () |
| 20956 | inline void lstm_mps_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::TensorList out1, at::TensorList out2, const at::Tensor & grad_y, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & z_state, const at::Tensor & cell_state_fwd, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first) { |
| 20957 | return at::_ops::lstm_mps_backward_out::redispatch(dispatchKeySet, grad_y, grad_hy, grad_cy, z_state, cell_state_fwd, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first, out0, out1, out2); |
| 20958 | } |
| 20959 | |
| 20960 | // aten::lstm_mps_backward.out(Tensor grad_y, Tensor? grad_hy, Tensor? grad_cy, Tensor z_state, Tensor cell_state_fwd, Tensor input, Tensor[] hx, Tensor[] params, bool has_biases, int num_layers, float dropout, bool train, bool bidirectional, bool batch_first, *, Tensor(a!) out0, Tensor(b!)[] out1, Tensor(c!)[] out2) -> () |
| 20961 | inline void lstm_mps_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_y, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & z_state, const at::Tensor & cell_state_fwd, const at::Tensor & input, at::TensorList hx, at::TensorList params, bool has_biases, int64_t num_layers, double dropout, bool train, bool bidirectional, bool batch_first, at::Tensor & out0, at::TensorList out1, at::TensorList out2) { |
| 20962 | return at::_ops::lstm_mps_backward_out::redispatch(dispatchKeySet, grad_y, grad_hy, grad_cy, z_state, cell_state_fwd, input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first, out0, out1, out2); |
| 20963 | } |
| 20964 | |
| 20965 | // aten::_thnn_fused_lstm_cell.out(Tensor input_gates, Tensor hidden_gates, Tensor cx, Tensor? input_bias=None, Tensor? hidden_bias=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20966 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _thnn_fused_lstm_cell_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & cx, const c10::optional<at::Tensor> & input_bias={}, const c10::optional<at::Tensor> & hidden_bias={}) { |
| 20967 | return at::_ops::_thnn_fused_lstm_cell_out::redispatch(dispatchKeySet, input_gates, hidden_gates, cx, input_bias, hidden_bias, out0, out1, out2); |
| 20968 | } |
| 20969 | |
| 20970 | // aten::_thnn_fused_lstm_cell.out(Tensor input_gates, Tensor hidden_gates, Tensor cx, Tensor? input_bias=None, Tensor? hidden_bias=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20971 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _thnn_fused_lstm_cell_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & cx, const c10::optional<at::Tensor> & input_bias, const c10::optional<at::Tensor> & hidden_bias, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 20972 | return at::_ops::_thnn_fused_lstm_cell_out::redispatch(dispatchKeySet, input_gates, hidden_gates, cx, input_bias, hidden_bias, out0, out1, out2); |
| 20973 | } |
| 20974 | |
| 20975 | // aten::_thnn_fused_lstm_cell_backward_impl.out(Tensor? grad_hy, Tensor? grad_cy, Tensor cx, Tensor cy, Tensor workspace, bool has_bias, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20976 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _thnn_fused_lstm_cell_backward_impl_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & cx, const at::Tensor & cy, const at::Tensor & workspace, bool has_bias) { |
| 20977 | return at::_ops::_thnn_fused_lstm_cell_backward_impl_out::redispatch(dispatchKeySet, grad_hy, grad_cy, cx, cy, workspace, has_bias, out0, out1, out2); |
| 20978 | } |
| 20979 | |
| 20980 | // aten::_thnn_fused_lstm_cell_backward_impl.out(Tensor? grad_hy, Tensor? grad_cy, Tensor cx, Tensor cy, Tensor workspace, bool has_bias, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 20981 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _thnn_fused_lstm_cell_backward_impl_outf(c10::DispatchKeySet dispatchKeySet, const c10::optional<at::Tensor> & grad_hy, const c10::optional<at::Tensor> & grad_cy, const at::Tensor & cx, const at::Tensor & cy, const at::Tensor & workspace, bool has_bias, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 20982 | return at::_ops::_thnn_fused_lstm_cell_backward_impl_out::redispatch(dispatchKeySet, grad_hy, grad_cy, cx, cy, workspace, has_bias, out0, out1, out2); |
| 20983 | } |
| 20984 | |
| 20985 | // aten::_thnn_fused_gru_cell.out(Tensor input_gates, Tensor hidden_gates, Tensor hx, Tensor? input_bias=None, Tensor? hidden_bias=None, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20986 | inline ::std::tuple<at::Tensor &,at::Tensor &> _thnn_fused_gru_cell_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias={}, const c10::optional<at::Tensor> & hidden_bias={}) { |
| 20987 | return at::_ops::_thnn_fused_gru_cell_out::redispatch(dispatchKeySet, input_gates, hidden_gates, hx, input_bias, hidden_bias, out0, out1); |
| 20988 | } |
| 20989 | |
| 20990 | // aten::_thnn_fused_gru_cell.out(Tensor input_gates, Tensor hidden_gates, Tensor hx, Tensor? input_bias=None, Tensor? hidden_bias=None, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 20991 | inline ::std::tuple<at::Tensor &,at::Tensor &> _thnn_fused_gru_cell_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input_gates, const at::Tensor & hidden_gates, const at::Tensor & hx, const c10::optional<at::Tensor> & input_bias, const c10::optional<at::Tensor> & hidden_bias, at::Tensor & out0, at::Tensor & out1) { |
| 20992 | return at::_ops::_thnn_fused_gru_cell_out::redispatch(dispatchKeySet, input_gates, hidden_gates, hx, input_bias, hidden_bias, out0, out1); |
| 20993 | } |
| 20994 | |
| 20995 | // aten::_thnn_fused_gru_cell_backward.out(Tensor grad_hy, Tensor workspace, bool has_bias, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 20996 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _thnn_fused_gru_cell_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4, const at::Tensor & grad_hy, const at::Tensor & workspace, bool has_bias) { |
| 20997 | return at::_ops::_thnn_fused_gru_cell_backward_out::redispatch(dispatchKeySet, grad_hy, workspace, has_bias, out0, out1, out2, out3, out4); |
| 20998 | } |
| 20999 | |
| 21000 | // aten::_thnn_fused_gru_cell_backward.out(Tensor grad_hy, Tensor workspace, bool has_bias, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3, Tensor(e!) out4) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!), Tensor(e!)) |
| 21001 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _thnn_fused_gru_cell_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_hy, const at::Tensor & workspace, bool has_bias, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, at::Tensor & out4) { |
| 21002 | return at::_ops::_thnn_fused_gru_cell_backward_out::redispatch(dispatchKeySet, grad_hy, workspace, has_bias, out0, out1, out2, out3, out4); |
| 21003 | } |
| 21004 | |
| 21005 | // aten::_pack_padded_sequence.out(Tensor input, Tensor lengths, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 21006 | inline ::std::tuple<at::Tensor &,at::Tensor &> _pack_padded_sequence_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & input, const at::Tensor & lengths, bool batch_first) { |
| 21007 | return at::_ops::_pack_padded_sequence_out::redispatch(dispatchKeySet, input, lengths, batch_first, out0, out1); |
| 21008 | } |
| 21009 | |
| 21010 | // aten::_pack_padded_sequence.out(Tensor input, Tensor lengths, bool batch_first, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 21011 | inline ::std::tuple<at::Tensor &,at::Tensor &> _pack_padded_sequence_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, const at::Tensor & lengths, bool batch_first, at::Tensor & out0, at::Tensor & out1) { |
| 21012 | return at::_ops::_pack_padded_sequence_out::redispatch(dispatchKeySet, input, lengths, batch_first, out0, out1); |
| 21013 | } |
| 21014 | |
| 21015 | // aten::set.source_Storage_out(Tensor self, Storage source, *, Tensor(a!) out) -> Tensor(a!) |
| 21016 | inline at::Tensor & set_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Storage source) { |
| 21017 | return at::_ops::set_source_Storage_out::redispatch(dispatchKeySet, self, source, out); |
| 21018 | } |
| 21019 | |
| 21020 | // aten::set.source_Storage_out(Tensor self, Storage source, *, Tensor(a!) out) -> Tensor(a!) |
| 21021 | inline at::Tensor & set_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Storage source, at::Tensor & out) { |
| 21022 | return at::_ops::set_source_Storage_out::redispatch(dispatchKeySet, self, source, out); |
| 21023 | } |
| 21024 | |
| 21025 | // aten::set.source_Storage(Tensor self, Storage source) -> Tensor |
| 21026 | inline at::Tensor set(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Storage source) { |
| 21027 | return at::_ops::set_source_Storage::redispatch(dispatchKeySet, self, source); |
| 21028 | } |
| 21029 | |
| 21030 | // aten::set.source_Storage_storage_offset_out(Tensor self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[], *, Tensor(a!) out) -> Tensor(a!) |
| 21031 | inline at::Tensor & set_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) { |
| 21032 | return at::_ops::set_source_Storage_storage_offset_out::redispatch(dispatchKeySet, self, source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 21033 | } |
| 21034 | |
| 21035 | // aten::set.source_Storage_storage_offset_out(Tensor self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[], *, Tensor(a!) out) -> Tensor(a!) |
| 21036 | inline at::Tensor & set_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride, at::Tensor & out) { |
| 21037 | return at::_ops::set_source_Storage_storage_offset_out::redispatch(dispatchKeySet, self, source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 21038 | } |
| 21039 | |
| 21040 | // aten::set.source_Storage_storage_offset_out(Tensor self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[], *, Tensor(a!) out) -> Tensor(a!) |
| 21041 | inline at::Tensor & set_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Storage source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) { |
| 21042 | return at::_ops::set_source_Storage_storage_offset_out::redispatch(dispatchKeySet, self, source, storage_offset, size, stride, out); |
| 21043 | } |
| 21044 | |
| 21045 | // aten::set.source_Storage_storage_offset_out(Tensor self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[], *, Tensor(a!) out) -> Tensor(a!) |
| 21046 | inline at::Tensor & set_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Storage source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::Tensor & out) { |
| 21047 | return at::_ops::set_source_Storage_storage_offset_out::redispatch(dispatchKeySet, self, source, storage_offset, size, stride, out); |
| 21048 | } |
| 21049 | |
| 21050 | // aten::set.source_Storage_storage_offset(Tensor self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor |
| 21051 | inline at::Tensor set(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) { |
| 21052 | return at::_ops::set_source_Storage_storage_offset::redispatch(dispatchKeySet, self, source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 21053 | } |
| 21054 | |
| 21055 | // aten::set.source_Storage_storage_offset(Tensor self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor |
| 21056 | inline at::Tensor set_symint(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Storage source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) { |
| 21057 | return at::_ops::set_source_Storage_storage_offset::redispatch(dispatchKeySet, self, source, storage_offset, size, stride); |
| 21058 | } |
| 21059 | |
| 21060 | // aten::set.source_Tensor_out(Tensor self, Tensor source, *, Tensor(a!) out) -> Tensor(a!) |
| 21061 | inline at::Tensor & set_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & source) { |
| 21062 | return at::_ops::set_source_Tensor_out::redispatch(dispatchKeySet, self, source, out); |
| 21063 | } |
| 21064 | |
| 21065 | // aten::set.source_Tensor_out(Tensor self, Tensor source, *, Tensor(a!) out) -> Tensor(a!) |
| 21066 | inline at::Tensor & set_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & source, at::Tensor & out) { |
| 21067 | return at::_ops::set_source_Tensor_out::redispatch(dispatchKeySet, self, source, out); |
| 21068 | } |
| 21069 | |
| 21070 | // aten::set.source_Tensor(Tensor self, Tensor source) -> Tensor |
| 21071 | inline at::Tensor set(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & source) { |
| 21072 | return at::_ops::set_source_Tensor::redispatch(dispatchKeySet, self, source); |
| 21073 | } |
| 21074 | |
| 21075 | // aten::set.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21076 | inline at::Tensor & set_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 21077 | return at::_ops::set_out::redispatch(dispatchKeySet, self, out); |
| 21078 | } |
| 21079 | |
| 21080 | // aten::set.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21081 | inline at::Tensor & set_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 21082 | return at::_ops::set_out::redispatch(dispatchKeySet, self, out); |
| 21083 | } |
| 21084 | |
| 21085 | // aten::set(Tensor self) -> Tensor |
| 21086 | inline at::Tensor set(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self) { |
| 21087 | return at::_ops::set::redispatch(dispatchKeySet, self); |
| 21088 | } |
| 21089 | |
| 21090 | // aten::lift.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21091 | inline at::Tensor & lift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 21092 | return at::_ops::lift_out::redispatch(dispatchKeySet, self, out); |
| 21093 | } |
| 21094 | |
| 21095 | // aten::lift.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21096 | inline at::Tensor & lift_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 21097 | return at::_ops::lift_out::redispatch(dispatchKeySet, self, out); |
| 21098 | } |
| 21099 | |
| 21100 | // aten::lift_fresh_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21101 | inline at::Tensor & lift_fresh_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 21102 | return at::_ops::lift_fresh_copy_out::redispatch(dispatchKeySet, self, out); |
| 21103 | } |
| 21104 | |
| 21105 | // aten::lift_fresh_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21106 | inline at::Tensor & lift_fresh_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 21107 | return at::_ops::lift_fresh_copy_out::redispatch(dispatchKeySet, self, out); |
| 21108 | } |
| 21109 | |
| 21110 | // aten::masked_fill.Scalar_out(Tensor self, Tensor mask, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 21111 | inline at::Tensor & masked_fill_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask, const at::Scalar & value) { |
| 21112 | return at::_ops::masked_fill_Scalar_out::redispatch(dispatchKeySet, self, mask, value, out); |
| 21113 | } |
| 21114 | |
| 21115 | // aten::masked_fill.Scalar_out(Tensor self, Tensor mask, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 21116 | inline at::Tensor & masked_fill_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Scalar & value, at::Tensor & out) { |
| 21117 | return at::_ops::masked_fill_Scalar_out::redispatch(dispatchKeySet, self, mask, value, out); |
| 21118 | } |
| 21119 | |
| 21120 | // aten::masked_fill.Tensor_out(Tensor self, Tensor mask, Tensor value, *, Tensor(a!) out) -> Tensor(a!) |
| 21121 | inline at::Tensor & masked_fill_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & value) { |
| 21122 | return at::_ops::masked_fill_Tensor_out::redispatch(dispatchKeySet, self, mask, value, out); |
| 21123 | } |
| 21124 | |
| 21125 | // aten::masked_fill.Tensor_out(Tensor self, Tensor mask, Tensor value, *, Tensor(a!) out) -> Tensor(a!) |
| 21126 | inline at::Tensor & masked_fill_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & value, at::Tensor & out) { |
| 21127 | return at::_ops::masked_fill_Tensor_out::redispatch(dispatchKeySet, self, mask, value, out); |
| 21128 | } |
| 21129 | |
| 21130 | // aten::masked_scatter.out(Tensor self, Tensor mask, Tensor source, *, Tensor(a!) out) -> Tensor(a!) |
| 21131 | inline at::Tensor & masked_scatter_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & source) { |
| 21132 | return at::_ops::masked_scatter_out::redispatch(dispatchKeySet, self, mask, source, out); |
| 21133 | } |
| 21134 | |
| 21135 | // aten::masked_scatter.out(Tensor self, Tensor mask, Tensor source, *, Tensor(a!) out) -> Tensor(a!) |
| 21136 | inline at::Tensor & masked_scatter_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, const at::Tensor & source, at::Tensor & out) { |
| 21137 | return at::_ops::masked_scatter_out::redispatch(dispatchKeySet, self, mask, source, out); |
| 21138 | } |
| 21139 | |
| 21140 | // aten::_masked_softmax.out(Tensor self, Tensor mask, int? dim=None, int? mask_type=None, *, Tensor(a!) out) -> Tensor(a!) |
| 21141 | inline at::Tensor & _masked_softmax_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & mask, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> mask_type=c10::nullopt) { |
| 21142 | return at::_ops::_masked_softmax_out::redispatch(dispatchKeySet, self, mask, dim, mask_type, out); |
| 21143 | } |
| 21144 | |
| 21145 | // aten::_masked_softmax.out(Tensor self, Tensor mask, int? dim=None, int? mask_type=None, *, Tensor(a!) out) -> Tensor(a!) |
| 21146 | inline at::Tensor & _masked_softmax_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & mask, c10::optional<int64_t> dim, c10::optional<int64_t> mask_type, at::Tensor & out) { |
| 21147 | return at::_ops::_masked_softmax_out::redispatch(dispatchKeySet, self, mask, dim, mask_type, out); |
| 21148 | } |
| 21149 | |
| 21150 | // aten::_masked_softmax_backward.out(Tensor grad_output, Tensor output, Tensor mask, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 21151 | inline at::Tensor & _masked_softmax_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & mask, c10::optional<int64_t> dim=c10::nullopt) { |
| 21152 | return at::_ops::_masked_softmax_backward_out::redispatch(dispatchKeySet, grad_output, output, mask, dim, out); |
| 21153 | } |
| 21154 | |
| 21155 | // aten::_masked_softmax_backward.out(Tensor grad_output, Tensor output, Tensor mask, int? dim=None, *, Tensor(a!) out) -> Tensor(a!) |
| 21156 | inline at::Tensor & _masked_softmax_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & output, const at::Tensor & mask, c10::optional<int64_t> dim, at::Tensor & out) { |
| 21157 | return at::_ops::_masked_softmax_backward_out::redispatch(dispatchKeySet, grad_output, output, mask, dim, out); |
| 21158 | } |
| 21159 | |
| 21160 | // aten::put.out(Tensor self, Tensor index, Tensor source, bool accumulate=False, *, Tensor(a!) out) -> Tensor(a!) |
| 21161 | inline at::Tensor & put_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate=false) { |
| 21162 | return at::_ops::put_out::redispatch(dispatchKeySet, self, index, source, accumulate, out); |
| 21163 | } |
| 21164 | |
| 21165 | // aten::put.out(Tensor self, Tensor index, Tensor source, bool accumulate=False, *, Tensor(a!) out) -> Tensor(a!) |
| 21166 | inline at::Tensor & put_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & index, const at::Tensor & source, bool accumulate, at::Tensor & out) { |
| 21167 | return at::_ops::put_out::redispatch(dispatchKeySet, self, index, source, accumulate, out); |
| 21168 | } |
| 21169 | |
| 21170 | // aten::index_fill.int_Scalar_out(Tensor self, int dim, Tensor index, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 21171 | inline at::Tensor & index_fill_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value) { |
| 21172 | return at::_ops::index_fill_int_Scalar_out::redispatch(dispatchKeySet, self, dim, index, value, out); |
| 21173 | } |
| 21174 | |
| 21175 | // aten::index_fill.int_Scalar_out(Tensor self, int dim, Tensor index, Scalar value, *, Tensor(a!) out) -> Tensor(a!) |
| 21176 | inline at::Tensor & index_fill_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Scalar & value, at::Tensor & out) { |
| 21177 | return at::_ops::index_fill_int_Scalar_out::redispatch(dispatchKeySet, self, dim, index, value, out); |
| 21178 | } |
| 21179 | |
| 21180 | // aten::index_fill.int_Tensor_out(Tensor self, int dim, Tensor index, Tensor value, *, Tensor(a!) out) -> Tensor(a!) |
| 21181 | inline at::Tensor & index_fill_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & value) { |
| 21182 | return at::_ops::index_fill_int_Tensor_out::redispatch(dispatchKeySet, self, dim, index, value, out); |
| 21183 | } |
| 21184 | |
| 21185 | // aten::index_fill.int_Tensor_out(Tensor self, int dim, Tensor index, Tensor value, *, Tensor(a!) out) -> Tensor(a!) |
| 21186 | inline at::Tensor & index_fill_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & value, at::Tensor & out) { |
| 21187 | return at::_ops::index_fill_int_Tensor_out::redispatch(dispatchKeySet, self, dim, index, value, out); |
| 21188 | } |
| 21189 | |
| 21190 | // aten::bitwise_and.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21191 | inline at::Tensor & bitwise_and_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 21192 | return at::_ops::bitwise_and_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21193 | } |
| 21194 | |
| 21195 | // aten::bitwise_and.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21196 | inline at::Tensor & bitwise_and_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 21197 | return at::_ops::bitwise_and_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21198 | } |
| 21199 | |
| 21200 | // aten::bitwise_or.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21201 | inline at::Tensor & bitwise_or_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 21202 | return at::_ops::bitwise_or_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21203 | } |
| 21204 | |
| 21205 | // aten::bitwise_or.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21206 | inline at::Tensor & bitwise_or_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 21207 | return at::_ops::bitwise_or_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21208 | } |
| 21209 | |
| 21210 | // aten::bitwise_xor.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21211 | inline at::Tensor & bitwise_xor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 21212 | return at::_ops::bitwise_xor_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21213 | } |
| 21214 | |
| 21215 | // aten::bitwise_xor.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21216 | inline at::Tensor & bitwise_xor_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 21217 | return at::_ops::bitwise_xor_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21218 | } |
| 21219 | |
| 21220 | // aten::__lshift__.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 21221 | inline at::Tensor & __lshift___out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 21222 | return at::_ops::__lshift___Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 21223 | } |
| 21224 | |
| 21225 | // aten::__lshift__.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 21226 | inline at::Tensor & __lshift___outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 21227 | return at::_ops::__lshift___Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 21228 | } |
| 21229 | |
| 21230 | // aten::__lshift__.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21231 | inline at::Tensor & __lshift___out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 21232 | return at::_ops::__lshift___Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21233 | } |
| 21234 | |
| 21235 | // aten::__lshift__.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21236 | inline at::Tensor & __lshift___outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 21237 | return at::_ops::__lshift___Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21238 | } |
| 21239 | |
| 21240 | // aten::bitwise_left_shift.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21241 | inline at::Tensor & bitwise_left_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 21242 | return at::_ops::bitwise_left_shift_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21243 | } |
| 21244 | |
| 21245 | // aten::bitwise_left_shift.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21246 | inline at::Tensor & bitwise_left_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 21247 | return at::_ops::bitwise_left_shift_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21248 | } |
| 21249 | |
| 21250 | // aten::__rshift__.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 21251 | inline at::Tensor & __rshift___out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 21252 | return at::_ops::__rshift___Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 21253 | } |
| 21254 | |
| 21255 | // aten::__rshift__.Scalar_out(Tensor self, Scalar other, *, Tensor(a!) out) -> Tensor(a!) |
| 21256 | inline at::Tensor & __rshift___outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 21257 | return at::_ops::__rshift___Scalar_out::redispatch(dispatchKeySet, self, other, out); |
| 21258 | } |
| 21259 | |
| 21260 | // aten::__rshift__.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21261 | inline at::Tensor & __rshift___out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 21262 | return at::_ops::__rshift___Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21263 | } |
| 21264 | |
| 21265 | // aten::__rshift__.Tensor_out(Tensor self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21266 | inline at::Tensor & __rshift___outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 21267 | return at::_ops::__rshift___Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21268 | } |
| 21269 | |
| 21270 | // aten::bitwise_right_shift.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21271 | inline at::Tensor & bitwise_right_shift_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 21272 | return at::_ops::bitwise_right_shift_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21273 | } |
| 21274 | |
| 21275 | // aten::bitwise_right_shift.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21276 | inline at::Tensor & bitwise_right_shift_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 21277 | return at::_ops::bitwise_right_shift_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21278 | } |
| 21279 | |
| 21280 | // aten::random.from_out(Tensor self, int from, int? to, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21281 | inline at::Tensor & random_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21282 | return at::_ops::random_from_out::redispatch(dispatchKeySet, self, from, to, generator, out); |
| 21283 | } |
| 21284 | |
| 21285 | // aten::random.from_out(Tensor self, int from, int? to, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21286 | inline at::Tensor & random_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21287 | return at::_ops::random_from_out::redispatch(dispatchKeySet, self, from, to, generator, out); |
| 21288 | } |
| 21289 | |
| 21290 | // aten::random.from(Tensor self, int from, int? to, *, Generator? generator=None) -> Tensor |
| 21291 | inline at::Tensor random(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21292 | return at::_ops::random_from::redispatch(dispatchKeySet, self, from, to, generator); |
| 21293 | } |
| 21294 | |
| 21295 | // aten::random.to_out(Tensor self, int to, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21296 | inline at::Tensor & random_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t to, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21297 | return at::_ops::random_to_out::redispatch(dispatchKeySet, self, to, generator, out); |
| 21298 | } |
| 21299 | |
| 21300 | // aten::random.to_out(Tensor self, int to, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21301 | inline at::Tensor & random_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t to, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21302 | return at::_ops::random_to_out::redispatch(dispatchKeySet, self, to, generator, out); |
| 21303 | } |
| 21304 | |
| 21305 | // aten::random.to(Tensor self, int to, *, Generator? generator=None) -> Tensor |
| 21306 | inline at::Tensor random(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t to, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21307 | return at::_ops::random_to::redispatch(dispatchKeySet, self, to, generator); |
| 21308 | } |
| 21309 | |
| 21310 | // aten::random.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21311 | inline at::Tensor & random_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21312 | return at::_ops::random_out::redispatch(dispatchKeySet, self, generator, out); |
| 21313 | } |
| 21314 | |
| 21315 | // aten::random.out(Tensor self, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21316 | inline at::Tensor & random_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21317 | return at::_ops::random_out::redispatch(dispatchKeySet, self, generator, out); |
| 21318 | } |
| 21319 | |
| 21320 | // aten::random(Tensor self, *, Generator? generator=None) -> Tensor |
| 21321 | inline at::Tensor random(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21322 | return at::_ops::random::redispatch(dispatchKeySet, self, generator); |
| 21323 | } |
| 21324 | |
| 21325 | // aten::uniform.out(Tensor self, float from=0, float to=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21326 | inline at::Tensor & uniform_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double from=0, double to=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21327 | return at::_ops::uniform_out::redispatch(dispatchKeySet, self, from, to, generator, out); |
| 21328 | } |
| 21329 | |
| 21330 | // aten::uniform.out(Tensor self, float from=0, float to=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21331 | inline at::Tensor & uniform_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double from, double to, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21332 | return at::_ops::uniform_out::redispatch(dispatchKeySet, self, from, to, generator, out); |
| 21333 | } |
| 21334 | |
| 21335 | // aten::uniform(Tensor self, float from=0, float to=1, *, Generator? generator=None) -> Tensor |
| 21336 | inline at::Tensor uniform(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double from=0, double to=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21337 | return at::_ops::uniform::redispatch(dispatchKeySet, self, from, to, generator); |
| 21338 | } |
| 21339 | |
| 21340 | // aten::cauchy.out(Tensor self, float median=0, float sigma=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21341 | inline at::Tensor & cauchy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double median=0, double sigma=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21342 | return at::_ops::cauchy_out::redispatch(dispatchKeySet, self, median, sigma, generator, out); |
| 21343 | } |
| 21344 | |
| 21345 | // aten::cauchy.out(Tensor self, float median=0, float sigma=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21346 | inline at::Tensor & cauchy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double median, double sigma, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21347 | return at::_ops::cauchy_out::redispatch(dispatchKeySet, self, median, sigma, generator, out); |
| 21348 | } |
| 21349 | |
| 21350 | // aten::cauchy(Tensor self, float median=0, float sigma=1, *, Generator? generator=None) -> Tensor |
| 21351 | inline at::Tensor cauchy(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double median=0, double sigma=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21352 | return at::_ops::cauchy::redispatch(dispatchKeySet, self, median, sigma, generator); |
| 21353 | } |
| 21354 | |
| 21355 | // aten::log_normal.out(Tensor self, float mean=1, float std=2, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21356 | inline at::Tensor & log_normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double mean=1, double std=2, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21357 | return at::_ops::log_normal_out::redispatch(dispatchKeySet, self, mean, std, generator, out); |
| 21358 | } |
| 21359 | |
| 21360 | // aten::log_normal.out(Tensor self, float mean=1, float std=2, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21361 | inline at::Tensor & log_normal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double mean, double std, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21362 | return at::_ops::log_normal_out::redispatch(dispatchKeySet, self, mean, std, generator, out); |
| 21363 | } |
| 21364 | |
| 21365 | // aten::log_normal(Tensor self, float mean=1, float std=2, *, Generator? generator=None) -> Tensor |
| 21366 | inline at::Tensor log_normal(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double mean=1, double std=2, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21367 | return at::_ops::log_normal::redispatch(dispatchKeySet, self, mean, std, generator); |
| 21368 | } |
| 21369 | |
| 21370 | // aten::exponential.out(Tensor self, float lambd=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21371 | inline at::Tensor & exponential_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double lambd=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21372 | return at::_ops::exponential_out::redispatch(dispatchKeySet, self, lambd, generator, out); |
| 21373 | } |
| 21374 | |
| 21375 | // aten::exponential.out(Tensor self, float lambd=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21376 | inline at::Tensor & exponential_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double lambd, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21377 | return at::_ops::exponential_out::redispatch(dispatchKeySet, self, lambd, generator, out); |
| 21378 | } |
| 21379 | |
| 21380 | // aten::exponential(Tensor self, float lambd=1, *, Generator? generator=None) -> Tensor |
| 21381 | inline at::Tensor exponential(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double lambd=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21382 | return at::_ops::exponential::redispatch(dispatchKeySet, self, lambd, generator); |
| 21383 | } |
| 21384 | |
| 21385 | // aten::geometric.out(Tensor self, float p, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21386 | inline at::Tensor & geometric_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21387 | return at::_ops::geometric_out::redispatch(dispatchKeySet, self, p, generator, out); |
| 21388 | } |
| 21389 | |
| 21390 | // aten::geometric.out(Tensor self, float p, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21391 | inline at::Tensor & geometric_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21392 | return at::_ops::geometric_out::redispatch(dispatchKeySet, self, p, generator, out); |
| 21393 | } |
| 21394 | |
| 21395 | // aten::geometric(Tensor self, float p, *, Generator? generator=None) -> Tensor |
| 21396 | inline at::Tensor geometric(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21397 | return at::_ops::geometric::redispatch(dispatchKeySet, self, p, generator); |
| 21398 | } |
| 21399 | |
| 21400 | // aten::tril_indices.out(int row, int col, int offset=0, *, Tensor(a!) out) -> Tensor(a!) |
| 21401 | inline at::Tensor & tril_indices_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t row, int64_t col, int64_t offset=0) { |
| 21402 | return at::_ops::tril_indices_out::redispatch(dispatchKeySet, row, col, offset, out); |
| 21403 | } |
| 21404 | |
| 21405 | // aten::tril_indices.out(int row, int col, int offset=0, *, Tensor(a!) out) -> Tensor(a!) |
| 21406 | inline at::Tensor & tril_indices_outf(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, at::Tensor & out) { |
| 21407 | return at::_ops::tril_indices_out::redispatch(dispatchKeySet, row, col, offset, out); |
| 21408 | } |
| 21409 | |
| 21410 | // aten::triu_indices.out(int row, int col, int offset=0, *, Tensor(a!) out) -> Tensor(a!) |
| 21411 | inline at::Tensor & triu_indices_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, int64_t row, int64_t col, int64_t offset=0) { |
| 21412 | return at::_ops::triu_indices_out::redispatch(dispatchKeySet, row, col, offset, out); |
| 21413 | } |
| 21414 | |
| 21415 | // aten::triu_indices.out(int row, int col, int offset=0, *, Tensor(a!) out) -> Tensor(a!) |
| 21416 | inline at::Tensor & triu_indices_outf(c10::DispatchKeySet dispatchKeySet, int64_t row, int64_t col, int64_t offset, at::Tensor & out) { |
| 21417 | return at::_ops::triu_indices_out::redispatch(dispatchKeySet, row, col, offset, out); |
| 21418 | } |
| 21419 | |
| 21420 | // aten::trace.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21421 | inline at::Tensor & trace_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 21422 | return at::_ops::trace_out::redispatch(dispatchKeySet, self, out); |
| 21423 | } |
| 21424 | |
| 21425 | // aten::trace.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 21426 | inline at::Tensor & trace_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 21427 | return at::_ops::trace_out::redispatch(dispatchKeySet, self, out); |
| 21428 | } |
| 21429 | |
| 21430 | // aten::_cholesky_solve_helper.out(Tensor self, Tensor A, bool upper, *, Tensor(a!) out) -> Tensor(a!) |
| 21431 | inline at::Tensor & _cholesky_solve_helper_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & A, bool upper) { |
| 21432 | return at::_ops::_cholesky_solve_helper_out::redispatch(dispatchKeySet, self, A, upper, out); |
| 21433 | } |
| 21434 | |
| 21435 | // aten::_cholesky_solve_helper.out(Tensor self, Tensor A, bool upper, *, Tensor(a!) out) -> Tensor(a!) |
| 21436 | inline at::Tensor & _cholesky_solve_helper_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & A, bool upper, at::Tensor & out) { |
| 21437 | return at::_ops::_cholesky_solve_helper_out::redispatch(dispatchKeySet, self, A, upper, out); |
| 21438 | } |
| 21439 | |
| 21440 | // aten::dist.out(Tensor self, Tensor other, Scalar p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 21441 | inline at::Tensor & dist_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & p=2) { |
| 21442 | return at::_ops::dist_out::redispatch(dispatchKeySet, self, other, p, out); |
| 21443 | } |
| 21444 | |
| 21445 | // aten::dist.out(Tensor self, Tensor other, Scalar p=2, *, Tensor(a!) out) -> Tensor(a!) |
| 21446 | inline at::Tensor & dist_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & other, const at::Scalar & p, at::Tensor & out) { |
| 21447 | return at::_ops::dist_out::redispatch(dispatchKeySet, self, other, p, out); |
| 21448 | } |
| 21449 | |
| 21450 | // aten::_histogramdd_bin_edges.out(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!)[] out) -> () |
| 21451 | inline void _histogramdd_bin_edges_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 21452 | return at::_ops::_histogramdd_bin_edges_out::redispatch(dispatchKeySet, self, bins, range, weight, density, out); |
| 21453 | } |
| 21454 | |
| 21455 | // aten::_histogramdd_bin_edges.out(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!)[] out) -> () |
| 21456 | inline void _histogramdd_bin_edges_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density, at::TensorList out) { |
| 21457 | return at::_ops::_histogramdd_bin_edges_out::redispatch(dispatchKeySet, self, bins, range, weight, density, out); |
| 21458 | } |
| 21459 | |
| 21460 | // aten::_histogramdd_from_bin_cts.out(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!) out) -> Tensor(a!) |
| 21461 | inline at::Tensor & _histogramdd_from_bin_cts_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 21462 | return at::_ops::_histogramdd_from_bin_cts_out::redispatch(dispatchKeySet, self, bins, range, weight, density, out); |
| 21463 | } |
| 21464 | |
| 21465 | // aten::_histogramdd_from_bin_cts.out(Tensor self, int[] bins, *, float[]? range=None, Tensor? weight=None, bool density=False, Tensor(a!) out) -> Tensor(a!) |
| 21466 | inline at::Tensor & _histogramdd_from_bin_cts_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density, at::Tensor & out) { |
| 21467 | return at::_ops::_histogramdd_from_bin_cts_out::redispatch(dispatchKeySet, self, bins, range, weight, density, out); |
| 21468 | } |
| 21469 | |
| 21470 | // aten::_histogramdd_from_bin_tensors.out(Tensor self, Tensor[] bins, *, Tensor? weight=None, bool density=False, Tensor(a!) out) -> Tensor(a!) |
| 21471 | inline at::Tensor & _histogramdd_from_bin_tensors_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::TensorList bins, const c10::optional<at::Tensor> & weight={}, bool density=false) { |
| 21472 | return at::_ops::_histogramdd_from_bin_tensors_out::redispatch(dispatchKeySet, self, bins, weight, density, out); |
| 21473 | } |
| 21474 | |
| 21475 | // aten::_histogramdd_from_bin_tensors.out(Tensor self, Tensor[] bins, *, Tensor? weight=None, bool density=False, Tensor(a!) out) -> Tensor(a!) |
| 21476 | inline at::Tensor & _histogramdd_from_bin_tensors_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList bins, const c10::optional<at::Tensor> & weight, bool density, at::Tensor & out) { |
| 21477 | return at::_ops::_histogramdd_from_bin_tensors_out::redispatch(dispatchKeySet, self, bins, weight, density, out); |
| 21478 | } |
| 21479 | |
| 21480 | // aten::remainder.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21481 | inline at::Tensor & remainder_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 21482 | return at::_ops::remainder_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21483 | } |
| 21484 | |
| 21485 | // aten::remainder.Scalar_Tensor_out(Scalar self, Tensor other, *, Tensor(a!) out) -> Tensor(a!) |
| 21486 | inline at::Tensor & remainder_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 21487 | return at::_ops::remainder_Scalar_Tensor_out::redispatch(dispatchKeySet, self, other, out); |
| 21488 | } |
| 21489 | |
| 21490 | // aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!) |
| 21491 | inline at::Tensor & argsort_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool stable, int64_t dim=-1, bool descending=false) { |
| 21492 | return at::_ops::argsort_stable_out::redispatch(dispatchKeySet, self, stable, dim, descending, out); |
| 21493 | } |
| 21494 | |
| 21495 | // aten::argsort.stable_out(Tensor self, *, bool stable, int dim=-1, bool descending=False, Tensor(a!) out) -> Tensor(a!) |
| 21496 | inline at::Tensor & argsort_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool stable, int64_t dim, bool descending, at::Tensor & out) { |
| 21497 | return at::_ops::argsort_stable_out::redispatch(dispatchKeySet, self, stable, dim, descending, out); |
| 21498 | } |
| 21499 | |
| 21500 | // aten::unfold_backward.out(Tensor grad_in, SymInt[] input_sizes, int dim, int size, int step, *, Tensor(a!) out) -> Tensor(a!) |
| 21501 | inline at::Tensor & unfold_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_in, at::IntArrayRef input_sizes, int64_t dim, int64_t size, int64_t step) { |
| 21502 | return at::_ops::unfold_backward_out::redispatch(dispatchKeySet, grad_in, c10::fromIntArrayRefSlow(input_sizes), dim, size, step, out); |
| 21503 | } |
| 21504 | |
| 21505 | // aten::unfold_backward.out(Tensor grad_in, SymInt[] input_sizes, int dim, int size, int step, *, Tensor(a!) out) -> Tensor(a!) |
| 21506 | inline at::Tensor & unfold_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_in, at::IntArrayRef input_sizes, int64_t dim, int64_t size, int64_t step, at::Tensor & out) { |
| 21507 | return at::_ops::unfold_backward_out::redispatch(dispatchKeySet, grad_in, c10::fromIntArrayRefSlow(input_sizes), dim, size, step, out); |
| 21508 | } |
| 21509 | |
| 21510 | // aten::unfold_backward.out(Tensor grad_in, SymInt[] input_sizes, int dim, int size, int step, *, Tensor(a!) out) -> Tensor(a!) |
| 21511 | inline at::Tensor & unfold_backward_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_in, c10::SymIntArrayRef input_sizes, int64_t dim, int64_t size, int64_t step) { |
| 21512 | return at::_ops::unfold_backward_out::redispatch(dispatchKeySet, grad_in, input_sizes, dim, size, step, out); |
| 21513 | } |
| 21514 | |
| 21515 | // aten::unfold_backward.out(Tensor grad_in, SymInt[] input_sizes, int dim, int size, int step, *, Tensor(a!) out) -> Tensor(a!) |
| 21516 | inline at::Tensor & unfold_backward_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_in, c10::SymIntArrayRef input_sizes, int64_t dim, int64_t size, int64_t step, at::Tensor & out) { |
| 21517 | return at::_ops::unfold_backward_out::redispatch(dispatchKeySet, grad_in, input_sizes, dim, size, step, out); |
| 21518 | } |
| 21519 | |
| 21520 | // aten::normal.out(Tensor self, float mean=0, float std=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21521 | inline at::Tensor & normal_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double mean=0, double std=1, c10::optional<at::Generator> generator=c10::nullopt) { |
| 21522 | return at::_ops::normal_out::redispatch(dispatchKeySet, self, mean, std, generator, out); |
| 21523 | } |
| 21524 | |
| 21525 | // aten::normal.out(Tensor self, float mean=0, float std=1, *, Generator? generator=None, Tensor(a!) out) -> Tensor(a!) |
| 21526 | inline at::Tensor & normal_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double mean, double std, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 21527 | return at::_ops::normal_out::redispatch(dispatchKeySet, self, mean, std, generator, out); |
| 21528 | } |
| 21529 | |
| 21530 | // aten::_amp_foreach_non_finite_check_and_unscale.out(Tensor[] self, Tensor(b!) found_inf, Tensor inv_scale, *, Tensor(a!)[] out) -> () |
| 21531 | inline void _amp_foreach_non_finite_check_and_unscale_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::Tensor & found_inf, const at::Tensor & inv_scale) { |
| 21532 | return at::_ops::_amp_foreach_non_finite_check_and_unscale_out::redispatch(dispatchKeySet, self, found_inf, inv_scale, out); |
| 21533 | } |
| 21534 | |
| 21535 | // aten::_amp_foreach_non_finite_check_and_unscale.out(Tensor[] self, Tensor(b!) found_inf, Tensor inv_scale, *, Tensor(a!)[] out) -> () |
| 21536 | inline void _amp_foreach_non_finite_check_and_unscale_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::Tensor & found_inf, const at::Tensor & inv_scale, at::TensorList out) { |
| 21537 | return at::_ops::_amp_foreach_non_finite_check_and_unscale_out::redispatch(dispatchKeySet, self, found_inf, inv_scale, out); |
| 21538 | } |
| 21539 | |
| 21540 | // aten::_amp_foreach_non_finite_check_and_unscale(Tensor[] self, Tensor found_inf, Tensor inv_scale) -> (Tensor[] self_out, Tensor found_inf_out) |
| 21541 | inline ::std::tuple<::std::vector<at::Tensor>,at::Tensor> _amp_foreach_non_finite_check_and_unscale(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Tensor & found_inf, const at::Tensor & inv_scale) { |
| 21542 | return at::_ops::_amp_foreach_non_finite_check_and_unscale::redispatch(dispatchKeySet, self, found_inf, inv_scale); |
| 21543 | } |
| 21544 | |
| 21545 | // aten::_amp_update_scale.out(Tensor self, Tensor(b!) growth_tracker, Tensor found_inf, float scale_growth_factor, float scale_backoff_factor, int growth_interval, *, Tensor(a!) out) -> Tensor(a!) |
| 21546 | inline at::Tensor & _amp_update_scale_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::Tensor & growth_tracker, const at::Tensor & found_inf, double scale_growth_factor, double scale_backoff_factor, int64_t growth_interval) { |
| 21547 | return at::_ops::_amp_update_scale_out::redispatch(dispatchKeySet, self, growth_tracker, found_inf, scale_growth_factor, scale_backoff_factor, growth_interval, out); |
| 21548 | } |
| 21549 | |
| 21550 | // aten::_amp_update_scale.out(Tensor self, Tensor(b!) growth_tracker, Tensor found_inf, float scale_growth_factor, float scale_backoff_factor, int growth_interval, *, Tensor(a!) out) -> Tensor(a!) |
| 21551 | inline at::Tensor & _amp_update_scale_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & growth_tracker, const at::Tensor & found_inf, double scale_growth_factor, double scale_backoff_factor, int64_t growth_interval, at::Tensor & out) { |
| 21552 | return at::_ops::_amp_update_scale_out::redispatch(dispatchKeySet, self, growth_tracker, found_inf, scale_growth_factor, scale_backoff_factor, growth_interval, out); |
| 21553 | } |
| 21554 | |
| 21555 | // aten::_amp_update_scale(Tensor self, Tensor growth_tracker, Tensor found_inf, float scale_growth_factor, float scale_backoff_factor, int growth_interval) -> (Tensor, Tensor growth_tracker_out) |
| 21556 | inline ::std::tuple<at::Tensor,at::Tensor> _amp_update_scale(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & growth_tracker, const at::Tensor & found_inf, double scale_growth_factor, double scale_backoff_factor, int64_t growth_interval) { |
| 21557 | return at::_ops::_amp_update_scale::redispatch(dispatchKeySet, self, growth_tracker, found_inf, scale_growth_factor, scale_backoff_factor, growth_interval); |
| 21558 | } |
| 21559 | |
| 21560 | // aten::_foreach_add.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21561 | inline void _foreach_add_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21562 | return at::_ops::_foreach_add_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21563 | } |
| 21564 | |
| 21565 | // aten::_foreach_add.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21566 | inline void _foreach_add_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21567 | return at::_ops::_foreach_add_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21568 | } |
| 21569 | |
| 21570 | // aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21571 | inline void _foreach_sub_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21572 | return at::_ops::_foreach_sub_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21573 | } |
| 21574 | |
| 21575 | // aten::_foreach_sub.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21576 | inline void _foreach_sub_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21577 | return at::_ops::_foreach_sub_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21578 | } |
| 21579 | |
| 21580 | // aten::_foreach_mul.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21581 | inline void _foreach_mul_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21582 | return at::_ops::_foreach_mul_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21583 | } |
| 21584 | |
| 21585 | // aten::_foreach_mul.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21586 | inline void _foreach_mul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21587 | return at::_ops::_foreach_mul_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21588 | } |
| 21589 | |
| 21590 | // aten::_foreach_div.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21591 | inline void _foreach_div_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21592 | return at::_ops::_foreach_div_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21593 | } |
| 21594 | |
| 21595 | // aten::_foreach_div.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21596 | inline void _foreach_div_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21597 | return at::_ops::_foreach_div_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21598 | } |
| 21599 | |
| 21600 | // aten::_foreach_clamp_min.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21601 | inline void _foreach_clamp_min_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21602 | return at::_ops::_foreach_clamp_min_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21603 | } |
| 21604 | |
| 21605 | // aten::_foreach_clamp_min.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21606 | inline void _foreach_clamp_min_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21607 | return at::_ops::_foreach_clamp_min_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21608 | } |
| 21609 | |
| 21610 | // aten::_foreach_clamp_max.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21611 | inline void _foreach_clamp_max_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21612 | return at::_ops::_foreach_clamp_max_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21613 | } |
| 21614 | |
| 21615 | // aten::_foreach_clamp_max.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21616 | inline void _foreach_clamp_max_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21617 | return at::_ops::_foreach_clamp_max_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21618 | } |
| 21619 | |
| 21620 | // aten::_foreach_maximum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21621 | inline void _foreach_maximum_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21622 | return at::_ops::_foreach_maximum_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21623 | } |
| 21624 | |
| 21625 | // aten::_foreach_maximum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21626 | inline void _foreach_maximum_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21627 | return at::_ops::_foreach_maximum_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21628 | } |
| 21629 | |
| 21630 | // aten::_foreach_minimum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21631 | inline void _foreach_minimum_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & scalar) { |
| 21632 | return at::_ops::_foreach_minimum_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21633 | } |
| 21634 | |
| 21635 | // aten::_foreach_minimum.Scalar_out(Tensor[] self, Scalar scalar, *, Tensor(a!)[] out) -> () |
| 21636 | inline void _foreach_minimum_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & scalar, at::TensorList out) { |
| 21637 | return at::_ops::_foreach_minimum_Scalar_out::redispatch(dispatchKeySet, self, scalar, out); |
| 21638 | } |
| 21639 | |
| 21640 | // aten::_foreach_add.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> () |
| 21641 | inline void _foreach_add_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) { |
| 21642 | return at::_ops::_foreach_add_List_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 21643 | } |
| 21644 | |
| 21645 | // aten::_foreach_add.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> () |
| 21646 | inline void _foreach_add_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha, at::TensorList out) { |
| 21647 | return at::_ops::_foreach_add_List_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 21648 | } |
| 21649 | |
| 21650 | // aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> () |
| 21651 | inline void _foreach_sub_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other, const at::Scalar & alpha=1) { |
| 21652 | return at::_ops::_foreach_sub_List_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 21653 | } |
| 21654 | |
| 21655 | // aten::_foreach_sub.List_out(Tensor[] self, Tensor[] other, *, Scalar alpha=1, Tensor(a!)[] out) -> () |
| 21656 | inline void _foreach_sub_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, const at::Scalar & alpha, at::TensorList out) { |
| 21657 | return at::_ops::_foreach_sub_List_out::redispatch(dispatchKeySet, self, other, alpha, out); |
| 21658 | } |
| 21659 | |
| 21660 | // aten::_foreach_mul.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21661 | inline void _foreach_mul_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other) { |
| 21662 | return at::_ops::_foreach_mul_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21663 | } |
| 21664 | |
| 21665 | // aten::_foreach_mul.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21666 | inline void _foreach_mul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, at::TensorList out) { |
| 21667 | return at::_ops::_foreach_mul_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21668 | } |
| 21669 | |
| 21670 | // aten::_foreach_div.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21671 | inline void _foreach_div_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other) { |
| 21672 | return at::_ops::_foreach_div_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21673 | } |
| 21674 | |
| 21675 | // aten::_foreach_div.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21676 | inline void _foreach_div_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, at::TensorList out) { |
| 21677 | return at::_ops::_foreach_div_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21678 | } |
| 21679 | |
| 21680 | // aten::_foreach_clamp_min.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21681 | inline void _foreach_clamp_min_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other) { |
| 21682 | return at::_ops::_foreach_clamp_min_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21683 | } |
| 21684 | |
| 21685 | // aten::_foreach_clamp_min.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21686 | inline void _foreach_clamp_min_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, at::TensorList out) { |
| 21687 | return at::_ops::_foreach_clamp_min_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21688 | } |
| 21689 | |
| 21690 | // aten::_foreach_clamp_max.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21691 | inline void _foreach_clamp_max_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other) { |
| 21692 | return at::_ops::_foreach_clamp_max_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21693 | } |
| 21694 | |
| 21695 | // aten::_foreach_clamp_max.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21696 | inline void _foreach_clamp_max_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, at::TensorList out) { |
| 21697 | return at::_ops::_foreach_clamp_max_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21698 | } |
| 21699 | |
| 21700 | // aten::_foreach_maximum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21701 | inline void _foreach_maximum_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other) { |
| 21702 | return at::_ops::_foreach_maximum_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21703 | } |
| 21704 | |
| 21705 | // aten::_foreach_maximum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21706 | inline void _foreach_maximum_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, at::TensorList out) { |
| 21707 | return at::_ops::_foreach_maximum_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21708 | } |
| 21709 | |
| 21710 | // aten::_foreach_minimum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21711 | inline void _foreach_minimum_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList other) { |
| 21712 | return at::_ops::_foreach_minimum_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21713 | } |
| 21714 | |
| 21715 | // aten::_foreach_minimum.List_out(Tensor[] self, Tensor[] other, *, Tensor(a!)[] out) -> () |
| 21716 | inline void _foreach_minimum_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList other, at::TensorList out) { |
| 21717 | return at::_ops::_foreach_minimum_List_out::redispatch(dispatchKeySet, self, other, out); |
| 21718 | } |
| 21719 | |
| 21720 | // aten::_foreach_add.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21721 | inline void _foreach_add_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21722 | return at::_ops::_foreach_add_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21723 | } |
| 21724 | |
| 21725 | // aten::_foreach_add.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21726 | inline void _foreach_add_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21727 | return at::_ops::_foreach_add_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21728 | } |
| 21729 | |
| 21730 | // aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21731 | inline void _foreach_sub_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21732 | return at::_ops::_foreach_sub_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21733 | } |
| 21734 | |
| 21735 | // aten::_foreach_sub.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21736 | inline void _foreach_sub_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21737 | return at::_ops::_foreach_sub_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21738 | } |
| 21739 | |
| 21740 | // aten::_foreach_div.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21741 | inline void _foreach_div_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21742 | return at::_ops::_foreach_div_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21743 | } |
| 21744 | |
| 21745 | // aten::_foreach_div.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21746 | inline void _foreach_div_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21747 | return at::_ops::_foreach_div_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21748 | } |
| 21749 | |
| 21750 | // aten::_foreach_mul.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21751 | inline void _foreach_mul_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21752 | return at::_ops::_foreach_mul_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21753 | } |
| 21754 | |
| 21755 | // aten::_foreach_mul.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21756 | inline void _foreach_mul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21757 | return at::_ops::_foreach_mul_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21758 | } |
| 21759 | |
| 21760 | // aten::_foreach_clamp_min.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21761 | inline void _foreach_clamp_min_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21762 | return at::_ops::_foreach_clamp_min_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21763 | } |
| 21764 | |
| 21765 | // aten::_foreach_clamp_min.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21766 | inline void _foreach_clamp_min_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21767 | return at::_ops::_foreach_clamp_min_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21768 | } |
| 21769 | |
| 21770 | // aten::_foreach_clamp_max.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21771 | inline void _foreach_clamp_max_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21772 | return at::_ops::_foreach_clamp_max_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21773 | } |
| 21774 | |
| 21775 | // aten::_foreach_clamp_max.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21776 | inline void _foreach_clamp_max_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21777 | return at::_ops::_foreach_clamp_max_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21778 | } |
| 21779 | |
| 21780 | // aten::_foreach_maximum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21781 | inline void _foreach_maximum_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21782 | return at::_ops::_foreach_maximum_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21783 | } |
| 21784 | |
| 21785 | // aten::_foreach_maximum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21786 | inline void _foreach_maximum_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21787 | return at::_ops::_foreach_maximum_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21788 | } |
| 21789 | |
| 21790 | // aten::_foreach_minimum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21791 | inline void _foreach_minimum_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::ArrayRef<at::Scalar> scalars) { |
| 21792 | return at::_ops::_foreach_minimum_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21793 | } |
| 21794 | |
| 21795 | // aten::_foreach_minimum.ScalarList_out(Tensor[] self, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 21796 | inline void _foreach_minimum_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 21797 | return at::_ops::_foreach_minimum_ScalarList_out::redispatch(dispatchKeySet, self, scalars, out); |
| 21798 | } |
| 21799 | |
| 21800 | // aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21801 | inline void _foreach_exp_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21802 | return at::_ops::_foreach_exp_out::redispatch(dispatchKeySet, self, out); |
| 21803 | } |
| 21804 | |
| 21805 | // aten::_foreach_exp.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21806 | inline void _foreach_exp_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21807 | return at::_ops::_foreach_exp_out::redispatch(dispatchKeySet, self, out); |
| 21808 | } |
| 21809 | |
| 21810 | // aten::_foreach_zero.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21811 | inline void _foreach_zero_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21812 | return at::_ops::_foreach_zero_out::redispatch(dispatchKeySet, self, out); |
| 21813 | } |
| 21814 | |
| 21815 | // aten::_foreach_zero.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21816 | inline void _foreach_zero_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21817 | return at::_ops::_foreach_zero_out::redispatch(dispatchKeySet, self, out); |
| 21818 | } |
| 21819 | |
| 21820 | // aten::_foreach_zero(Tensor[] self) -> Tensor[] self_out |
| 21821 | inline ::std::vector<at::Tensor> _foreach_zero(c10::DispatchKeySet dispatchKeySet, at::TensorList self) { |
| 21822 | return at::_ops::_foreach_zero::redispatch(dispatchKeySet, self); |
| 21823 | } |
| 21824 | |
| 21825 | // aten::_foreach_sqrt.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21826 | inline void _foreach_sqrt_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21827 | return at::_ops::_foreach_sqrt_out::redispatch(dispatchKeySet, self, out); |
| 21828 | } |
| 21829 | |
| 21830 | // aten::_foreach_sqrt.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21831 | inline void _foreach_sqrt_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21832 | return at::_ops::_foreach_sqrt_out::redispatch(dispatchKeySet, self, out); |
| 21833 | } |
| 21834 | |
| 21835 | // aten::_foreach_abs.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21836 | inline void _foreach_abs_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21837 | return at::_ops::_foreach_abs_out::redispatch(dispatchKeySet, self, out); |
| 21838 | } |
| 21839 | |
| 21840 | // aten::_foreach_abs.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21841 | inline void _foreach_abs_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21842 | return at::_ops::_foreach_abs_out::redispatch(dispatchKeySet, self, out); |
| 21843 | } |
| 21844 | |
| 21845 | // aten::_foreach_acos.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21846 | inline void _foreach_acos_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21847 | return at::_ops::_foreach_acos_out::redispatch(dispatchKeySet, self, out); |
| 21848 | } |
| 21849 | |
| 21850 | // aten::_foreach_acos.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21851 | inline void _foreach_acos_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21852 | return at::_ops::_foreach_acos_out::redispatch(dispatchKeySet, self, out); |
| 21853 | } |
| 21854 | |
| 21855 | // aten::_foreach_asin.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21856 | inline void _foreach_asin_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21857 | return at::_ops::_foreach_asin_out::redispatch(dispatchKeySet, self, out); |
| 21858 | } |
| 21859 | |
| 21860 | // aten::_foreach_asin.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21861 | inline void _foreach_asin_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21862 | return at::_ops::_foreach_asin_out::redispatch(dispatchKeySet, self, out); |
| 21863 | } |
| 21864 | |
| 21865 | // aten::_foreach_atan.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21866 | inline void _foreach_atan_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21867 | return at::_ops::_foreach_atan_out::redispatch(dispatchKeySet, self, out); |
| 21868 | } |
| 21869 | |
| 21870 | // aten::_foreach_atan.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21871 | inline void _foreach_atan_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21872 | return at::_ops::_foreach_atan_out::redispatch(dispatchKeySet, self, out); |
| 21873 | } |
| 21874 | |
| 21875 | // aten::_foreach_ceil.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21876 | inline void _foreach_ceil_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21877 | return at::_ops::_foreach_ceil_out::redispatch(dispatchKeySet, self, out); |
| 21878 | } |
| 21879 | |
| 21880 | // aten::_foreach_ceil.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21881 | inline void _foreach_ceil_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21882 | return at::_ops::_foreach_ceil_out::redispatch(dispatchKeySet, self, out); |
| 21883 | } |
| 21884 | |
| 21885 | // aten::_foreach_cos.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21886 | inline void _foreach_cos_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21887 | return at::_ops::_foreach_cos_out::redispatch(dispatchKeySet, self, out); |
| 21888 | } |
| 21889 | |
| 21890 | // aten::_foreach_cos.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21891 | inline void _foreach_cos_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21892 | return at::_ops::_foreach_cos_out::redispatch(dispatchKeySet, self, out); |
| 21893 | } |
| 21894 | |
| 21895 | // aten::_foreach_cosh.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21896 | inline void _foreach_cosh_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21897 | return at::_ops::_foreach_cosh_out::redispatch(dispatchKeySet, self, out); |
| 21898 | } |
| 21899 | |
| 21900 | // aten::_foreach_cosh.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21901 | inline void _foreach_cosh_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21902 | return at::_ops::_foreach_cosh_out::redispatch(dispatchKeySet, self, out); |
| 21903 | } |
| 21904 | |
| 21905 | // aten::_foreach_erf.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21906 | inline void _foreach_erf_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21907 | return at::_ops::_foreach_erf_out::redispatch(dispatchKeySet, self, out); |
| 21908 | } |
| 21909 | |
| 21910 | // aten::_foreach_erf.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21911 | inline void _foreach_erf_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21912 | return at::_ops::_foreach_erf_out::redispatch(dispatchKeySet, self, out); |
| 21913 | } |
| 21914 | |
| 21915 | // aten::_foreach_erfc.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21916 | inline void _foreach_erfc_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21917 | return at::_ops::_foreach_erfc_out::redispatch(dispatchKeySet, self, out); |
| 21918 | } |
| 21919 | |
| 21920 | // aten::_foreach_erfc.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21921 | inline void _foreach_erfc_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21922 | return at::_ops::_foreach_erfc_out::redispatch(dispatchKeySet, self, out); |
| 21923 | } |
| 21924 | |
| 21925 | // aten::_foreach_expm1.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21926 | inline void _foreach_expm1_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21927 | return at::_ops::_foreach_expm1_out::redispatch(dispatchKeySet, self, out); |
| 21928 | } |
| 21929 | |
| 21930 | // aten::_foreach_expm1.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21931 | inline void _foreach_expm1_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21932 | return at::_ops::_foreach_expm1_out::redispatch(dispatchKeySet, self, out); |
| 21933 | } |
| 21934 | |
| 21935 | // aten::_foreach_floor.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21936 | inline void _foreach_floor_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21937 | return at::_ops::_foreach_floor_out::redispatch(dispatchKeySet, self, out); |
| 21938 | } |
| 21939 | |
| 21940 | // aten::_foreach_floor.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21941 | inline void _foreach_floor_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21942 | return at::_ops::_foreach_floor_out::redispatch(dispatchKeySet, self, out); |
| 21943 | } |
| 21944 | |
| 21945 | // aten::_foreach_log.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21946 | inline void _foreach_log_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21947 | return at::_ops::_foreach_log_out::redispatch(dispatchKeySet, self, out); |
| 21948 | } |
| 21949 | |
| 21950 | // aten::_foreach_log.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21951 | inline void _foreach_log_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21952 | return at::_ops::_foreach_log_out::redispatch(dispatchKeySet, self, out); |
| 21953 | } |
| 21954 | |
| 21955 | // aten::_foreach_log10.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21956 | inline void _foreach_log10_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21957 | return at::_ops::_foreach_log10_out::redispatch(dispatchKeySet, self, out); |
| 21958 | } |
| 21959 | |
| 21960 | // aten::_foreach_log10.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21961 | inline void _foreach_log10_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21962 | return at::_ops::_foreach_log10_out::redispatch(dispatchKeySet, self, out); |
| 21963 | } |
| 21964 | |
| 21965 | // aten::_foreach_log1p.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21966 | inline void _foreach_log1p_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21967 | return at::_ops::_foreach_log1p_out::redispatch(dispatchKeySet, self, out); |
| 21968 | } |
| 21969 | |
| 21970 | // aten::_foreach_log1p.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21971 | inline void _foreach_log1p_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21972 | return at::_ops::_foreach_log1p_out::redispatch(dispatchKeySet, self, out); |
| 21973 | } |
| 21974 | |
| 21975 | // aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21976 | inline void _foreach_log2_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21977 | return at::_ops::_foreach_log2_out::redispatch(dispatchKeySet, self, out); |
| 21978 | } |
| 21979 | |
| 21980 | // aten::_foreach_log2.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21981 | inline void _foreach_log2_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21982 | return at::_ops::_foreach_log2_out::redispatch(dispatchKeySet, self, out); |
| 21983 | } |
| 21984 | |
| 21985 | // aten::_foreach_neg.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21986 | inline void _foreach_neg_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21987 | return at::_ops::_foreach_neg_out::redispatch(dispatchKeySet, self, out); |
| 21988 | } |
| 21989 | |
| 21990 | // aten::_foreach_neg.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21991 | inline void _foreach_neg_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 21992 | return at::_ops::_foreach_neg_out::redispatch(dispatchKeySet, self, out); |
| 21993 | } |
| 21994 | |
| 21995 | // aten::_foreach_tan.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 21996 | inline void _foreach_tan_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 21997 | return at::_ops::_foreach_tan_out::redispatch(dispatchKeySet, self, out); |
| 21998 | } |
| 21999 | |
| 22000 | // aten::_foreach_tan.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22001 | inline void _foreach_tan_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22002 | return at::_ops::_foreach_tan_out::redispatch(dispatchKeySet, self, out); |
| 22003 | } |
| 22004 | |
| 22005 | // aten::_foreach_tanh.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22006 | inline void _foreach_tanh_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22007 | return at::_ops::_foreach_tanh_out::redispatch(dispatchKeySet, self, out); |
| 22008 | } |
| 22009 | |
| 22010 | // aten::_foreach_tanh.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22011 | inline void _foreach_tanh_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22012 | return at::_ops::_foreach_tanh_out::redispatch(dispatchKeySet, self, out); |
| 22013 | } |
| 22014 | |
| 22015 | // aten::_foreach_sin.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22016 | inline void _foreach_sin_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22017 | return at::_ops::_foreach_sin_out::redispatch(dispatchKeySet, self, out); |
| 22018 | } |
| 22019 | |
| 22020 | // aten::_foreach_sin.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22021 | inline void _foreach_sin_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22022 | return at::_ops::_foreach_sin_out::redispatch(dispatchKeySet, self, out); |
| 22023 | } |
| 22024 | |
| 22025 | // aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22026 | inline void _foreach_sinh_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22027 | return at::_ops::_foreach_sinh_out::redispatch(dispatchKeySet, self, out); |
| 22028 | } |
| 22029 | |
| 22030 | // aten::_foreach_sinh.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22031 | inline void _foreach_sinh_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22032 | return at::_ops::_foreach_sinh_out::redispatch(dispatchKeySet, self, out); |
| 22033 | } |
| 22034 | |
| 22035 | // aten::_foreach_round.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22036 | inline void _foreach_round_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22037 | return at::_ops::_foreach_round_out::redispatch(dispatchKeySet, self, out); |
| 22038 | } |
| 22039 | |
| 22040 | // aten::_foreach_round.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22041 | inline void _foreach_round_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22042 | return at::_ops::_foreach_round_out::redispatch(dispatchKeySet, self, out); |
| 22043 | } |
| 22044 | |
| 22045 | // aten::_foreach_lgamma.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22046 | inline void _foreach_lgamma_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22047 | return at::_ops::_foreach_lgamma_out::redispatch(dispatchKeySet, self, out); |
| 22048 | } |
| 22049 | |
| 22050 | // aten::_foreach_lgamma.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22051 | inline void _foreach_lgamma_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22052 | return at::_ops::_foreach_lgamma_out::redispatch(dispatchKeySet, self, out); |
| 22053 | } |
| 22054 | |
| 22055 | // aten::_foreach_frac.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22056 | inline void _foreach_frac_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22057 | return at::_ops::_foreach_frac_out::redispatch(dispatchKeySet, self, out); |
| 22058 | } |
| 22059 | |
| 22060 | // aten::_foreach_frac.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22061 | inline void _foreach_frac_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22062 | return at::_ops::_foreach_frac_out::redispatch(dispatchKeySet, self, out); |
| 22063 | } |
| 22064 | |
| 22065 | // aten::_foreach_reciprocal.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22066 | inline void _foreach_reciprocal_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22067 | return at::_ops::_foreach_reciprocal_out::redispatch(dispatchKeySet, self, out); |
| 22068 | } |
| 22069 | |
| 22070 | // aten::_foreach_reciprocal.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22071 | inline void _foreach_reciprocal_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22072 | return at::_ops::_foreach_reciprocal_out::redispatch(dispatchKeySet, self, out); |
| 22073 | } |
| 22074 | |
| 22075 | // aten::_foreach_sigmoid.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22076 | inline void _foreach_sigmoid_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22077 | return at::_ops::_foreach_sigmoid_out::redispatch(dispatchKeySet, self, out); |
| 22078 | } |
| 22079 | |
| 22080 | // aten::_foreach_sigmoid.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22081 | inline void _foreach_sigmoid_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22082 | return at::_ops::_foreach_sigmoid_out::redispatch(dispatchKeySet, self, out); |
| 22083 | } |
| 22084 | |
| 22085 | // aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22086 | inline void _foreach_trunc_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self) { |
| 22087 | return at::_ops::_foreach_trunc_out::redispatch(dispatchKeySet, self, out); |
| 22088 | } |
| 22089 | |
| 22090 | // aten::_foreach_trunc.out(Tensor[] self, *, Tensor(a!)[] out) -> () |
| 22091 | inline void _foreach_trunc_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out) { |
| 22092 | return at::_ops::_foreach_trunc_out::redispatch(dispatchKeySet, self, out); |
| 22093 | } |
| 22094 | |
| 22095 | // aten::_foreach_addcdiv.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> () |
| 22096 | inline void _foreach_addcdiv_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) { |
| 22097 | return at::_ops::_foreach_addcdiv_Scalar_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 22098 | } |
| 22099 | |
| 22100 | // aten::_foreach_addcdiv.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> () |
| 22101 | inline void _foreach_addcdiv_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value, at::TensorList out) { |
| 22102 | return at::_ops::_foreach_addcdiv_Scalar_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 22103 | } |
| 22104 | |
| 22105 | // aten::_foreach_addcmul.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> () |
| 22106 | inline void _foreach_addcmul_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value=1) { |
| 22107 | return at::_ops::_foreach_addcmul_Scalar_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 22108 | } |
| 22109 | |
| 22110 | // aten::_foreach_addcmul.Scalar_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar value=1, *, Tensor(a!)[] out) -> () |
| 22111 | inline void _foreach_addcmul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Scalar & value, at::TensorList out) { |
| 22112 | return at::_ops::_foreach_addcmul_Scalar_out::redispatch(dispatchKeySet, self, tensor1, tensor2, value, out); |
| 22113 | } |
| 22114 | |
| 22115 | // aten::_foreach_addcdiv.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 22116 | inline void _foreach_addcdiv_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) { |
| 22117 | return at::_ops::_foreach_addcdiv_ScalarList_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22118 | } |
| 22119 | |
| 22120 | // aten::_foreach_addcdiv.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 22121 | inline void _foreach_addcdiv_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 22122 | return at::_ops::_foreach_addcdiv_ScalarList_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22123 | } |
| 22124 | |
| 22125 | // aten::_foreach_addcdiv.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> () |
| 22126 | inline void _foreach_addcdiv_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars) { |
| 22127 | return at::_ops::_foreach_addcdiv_Tensor_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22128 | } |
| 22129 | |
| 22130 | // aten::_foreach_addcdiv.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> () |
| 22131 | inline void _foreach_addcdiv_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars, at::TensorList out) { |
| 22132 | return at::_ops::_foreach_addcdiv_Tensor_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22133 | } |
| 22134 | |
| 22135 | // aten::_foreach_addcmul.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 22136 | inline void _foreach_addcmul_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars) { |
| 22137 | return at::_ops::_foreach_addcmul_ScalarList_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22138 | } |
| 22139 | |
| 22140 | // aten::_foreach_addcmul.ScalarList_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Scalar[] scalars, *, Tensor(a!)[] out) -> () |
| 22141 | inline void _foreach_addcmul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, at::ArrayRef<at::Scalar> scalars, at::TensorList out) { |
| 22142 | return at::_ops::_foreach_addcmul_ScalarList_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22143 | } |
| 22144 | |
| 22145 | // aten::_foreach_addcmul.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> () |
| 22146 | inline void _foreach_addcmul_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars) { |
| 22147 | return at::_ops::_foreach_addcmul_Tensor_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22148 | } |
| 22149 | |
| 22150 | // aten::_foreach_addcmul.Tensor_out(Tensor[] self, Tensor[] tensor1, Tensor[] tensor2, Tensor scalars, *, Tensor(a!)[] out) -> () |
| 22151 | inline void _foreach_addcmul_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensor1, at::TensorList tensor2, const at::Tensor & scalars, at::TensorList out) { |
| 22152 | return at::_ops::_foreach_addcmul_Tensor_out::redispatch(dispatchKeySet, self, tensor1, tensor2, scalars, out); |
| 22153 | } |
| 22154 | |
| 22155 | // aten::_foreach_norm.Scalar_out(Tensor[] self, Scalar ord=2, *, Tensor(a!)[] out) -> () |
| 22156 | inline void _foreach_norm_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, const at::Scalar & ord=2) { |
| 22157 | return at::_ops::_foreach_norm_Scalar_out::redispatch(dispatchKeySet, self, ord, out); |
| 22158 | } |
| 22159 | |
| 22160 | // aten::_foreach_norm.Scalar_out(Tensor[] self, Scalar ord=2, *, Tensor(a!)[] out) -> () |
| 22161 | inline void _foreach_norm_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, const at::Scalar & ord, at::TensorList out) { |
| 22162 | return at::_ops::_foreach_norm_Scalar_out::redispatch(dispatchKeySet, self, ord, out); |
| 22163 | } |
| 22164 | |
| 22165 | // aten::_foreach_lerp.List_out(Tensor[] self, Tensor[] tensors1, Tensor[] weights, *, Tensor(a!)[] out) -> () |
| 22166 | inline void _foreach_lerp_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensors1, at::TensorList weights) { |
| 22167 | return at::_ops::_foreach_lerp_List_out::redispatch(dispatchKeySet, self, tensors1, weights, out); |
| 22168 | } |
| 22169 | |
| 22170 | // aten::_foreach_lerp.List_out(Tensor[] self, Tensor[] tensors1, Tensor[] weights, *, Tensor(a!)[] out) -> () |
| 22171 | inline void _foreach_lerp_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensors1, at::TensorList weights, at::TensorList out) { |
| 22172 | return at::_ops::_foreach_lerp_List_out::redispatch(dispatchKeySet, self, tensors1, weights, out); |
| 22173 | } |
| 22174 | |
| 22175 | // aten::_foreach_lerp.Scalar_out(Tensor[] self, Tensor[] tensors1, Scalar weight, *, Tensor(a!)[] out) -> () |
| 22176 | inline void _foreach_lerp_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList tensors1, const at::Scalar & weight) { |
| 22177 | return at::_ops::_foreach_lerp_Scalar_out::redispatch(dispatchKeySet, self, tensors1, weight, out); |
| 22178 | } |
| 22179 | |
| 22180 | // aten::_foreach_lerp.Scalar_out(Tensor[] self, Tensor[] tensors1, Scalar weight, *, Tensor(a!)[] out) -> () |
| 22181 | inline void _foreach_lerp_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList tensors1, const at::Scalar & weight, at::TensorList out) { |
| 22182 | return at::_ops::_foreach_lerp_Scalar_out::redispatch(dispatchKeySet, self, tensors1, weight, out); |
| 22183 | } |
| 22184 | |
| 22185 | // aten::bucketize.Scalar_out(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!) |
| 22186 | inline at::Tensor & bucketize_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Scalar & self, const at::Tensor & boundaries, bool out_int32=false, bool right=false) { |
| 22187 | return at::_ops::bucketize_Scalar_out::redispatch(dispatchKeySet, self, boundaries, out_int32, right, out); |
| 22188 | } |
| 22189 | |
| 22190 | // aten::bucketize.Scalar_out(Scalar self, Tensor boundaries, *, bool out_int32=False, bool right=False, Tensor(a!) out) -> Tensor(a!) |
| 22191 | inline at::Tensor & bucketize_outf(c10::DispatchKeySet dispatchKeySet, const at::Scalar & self, const at::Tensor & boundaries, bool out_int32, bool right, at::Tensor & out) { |
| 22192 | return at::_ops::bucketize_Scalar_out::redispatch(dispatchKeySet, self, boundaries, out_int32, right, out); |
| 22193 | } |
| 22194 | |
| 22195 | // aten::searchsorted.Scalar_out(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!) |
| 22196 | inline at::Tensor & searchsorted_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & sorted_sequence, const at::Scalar & self, bool out_int32=false, bool right=false, c10::optional<c10::string_view> side=c10::nullopt, const c10::optional<at::Tensor> & sorter={}) { |
| 22197 | return at::_ops::searchsorted_Scalar_out::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, side, sorter, out); |
| 22198 | } |
| 22199 | |
| 22200 | // aten::searchsorted.Scalar_out(Tensor sorted_sequence, Scalar self, *, bool out_int32=False, bool right=False, str? side=None, Tensor? sorter=None, Tensor(a!) out) -> Tensor(a!) |
| 22201 | inline at::Tensor & searchsorted_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & sorted_sequence, const at::Scalar & self, bool out_int32, bool right, c10::optional<c10::string_view> side, const c10::optional<at::Tensor> & sorter, at::Tensor & out) { |
| 22202 | return at::_ops::searchsorted_Scalar_out::redispatch(dispatchKeySet, sorted_sequence, self, out_int32, right, side, sorter, out); |
| 22203 | } |
| 22204 | |
| 22205 | // aten::glu_jvp.out(Tensor glu, Tensor x, Tensor dx, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22206 | inline at::Tensor & glu_jvp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & glu, const at::Tensor & x, const at::Tensor & dx, int64_t dim) { |
| 22207 | return at::_ops::glu_jvp_out::redispatch(dispatchKeySet, glu, x, dx, dim, out); |
| 22208 | } |
| 22209 | |
| 22210 | // aten::glu_jvp.out(Tensor glu, Tensor x, Tensor dx, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22211 | inline at::Tensor & glu_jvp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & glu, const at::Tensor & x, const at::Tensor & dx, int64_t dim, at::Tensor & out) { |
| 22212 | return at::_ops::glu_jvp_out::redispatch(dispatchKeySet, glu, x, dx, dim, out); |
| 22213 | } |
| 22214 | |
| 22215 | // aten::glu_backward_jvp.out(Tensor grad_x, Tensor grad_glu, Tensor x, Tensor dgrad_glu, Tensor dx, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22216 | inline at::Tensor & glu_backward_jvp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_x, const at::Tensor & grad_glu, const at::Tensor & x, const at::Tensor & dgrad_glu, const at::Tensor & dx, int64_t dim) { |
| 22217 | return at::_ops::glu_backward_jvp_out::redispatch(dispatchKeySet, grad_x, grad_glu, x, dgrad_glu, dx, dim, out); |
| 22218 | } |
| 22219 | |
| 22220 | // aten::glu_backward_jvp.out(Tensor grad_x, Tensor grad_glu, Tensor x, Tensor dgrad_glu, Tensor dx, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22221 | inline at::Tensor & glu_backward_jvp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_x, const at::Tensor & grad_glu, const at::Tensor & x, const at::Tensor & dgrad_glu, const at::Tensor & dx, int64_t dim, at::Tensor & out) { |
| 22222 | return at::_ops::glu_backward_jvp_out::redispatch(dispatchKeySet, grad_x, grad_glu, x, dgrad_glu, dx, dim, out); |
| 22223 | } |
| 22224 | |
| 22225 | // aten::hardswish_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22226 | inline at::Tensor & hardswish_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & self) { |
| 22227 | return at::_ops::hardswish_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22228 | } |
| 22229 | |
| 22230 | // aten::hardswish_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22231 | inline at::Tensor & hardswish_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & out) { |
| 22232 | return at::_ops::hardswish_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22233 | } |
| 22234 | |
| 22235 | // aten::rrelu_with_noise_backward.out(Tensor grad_output, Tensor self, Tensor noise, Scalar lower, Scalar upper, bool training, bool self_is_result, *, Tensor(a!) out) -> Tensor(a!) |
| 22236 | inline at::Tensor & rrelu_with_noise_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower, const at::Scalar & upper, bool training, bool self_is_result) { |
| 22237 | return at::_ops::rrelu_with_noise_backward_out::redispatch(dispatchKeySet, grad_output, self, noise, lower, upper, training, self_is_result, out); |
| 22238 | } |
| 22239 | |
| 22240 | // aten::rrelu_with_noise_backward.out(Tensor grad_output, Tensor self, Tensor noise, Scalar lower, Scalar upper, bool training, bool self_is_result, *, Tensor(a!) out) -> Tensor(a!) |
| 22241 | inline at::Tensor & rrelu_with_noise_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & noise, const at::Scalar & lower, const at::Scalar & upper, bool training, bool self_is_result, at::Tensor & out) { |
| 22242 | return at::_ops::rrelu_with_noise_backward_out::redispatch(dispatchKeySet, grad_output, self, noise, lower, upper, training, self_is_result, out); |
| 22243 | } |
| 22244 | |
| 22245 | // aten::mkldnn_adaptive_avg_pool2d_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22246 | inline at::Tensor & mkldnn_adaptive_avg_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & self) { |
| 22247 | return at::_ops::mkldnn_adaptive_avg_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22248 | } |
| 22249 | |
| 22250 | // aten::mkldnn_adaptive_avg_pool2d_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22251 | inline at::Tensor & mkldnn_adaptive_avg_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & out) { |
| 22252 | return at::_ops::mkldnn_adaptive_avg_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22253 | } |
| 22254 | |
| 22255 | // aten::_adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22256 | inline at::Tensor & _adaptive_avg_pool2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) { |
| 22257 | return at::_ops::_adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 22258 | } |
| 22259 | |
| 22260 | // aten::_adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22261 | inline at::Tensor & _adaptive_avg_pool2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) { |
| 22262 | return at::_ops::_adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 22263 | } |
| 22264 | |
| 22265 | // aten::_adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22266 | inline at::Tensor & _adaptive_avg_pool2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 22267 | return at::_ops::_adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 22268 | } |
| 22269 | |
| 22270 | // aten::_adaptive_avg_pool2d.out(Tensor self, SymInt[2] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22271 | inline at::Tensor & _adaptive_avg_pool2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, at::Tensor & out) { |
| 22272 | return at::_ops::_adaptive_avg_pool2d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 22273 | } |
| 22274 | |
| 22275 | // aten::_adaptive_avg_pool2d_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22276 | inline at::Tensor & _adaptive_avg_pool2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & self) { |
| 22277 | return at::_ops::_adaptive_avg_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22278 | } |
| 22279 | |
| 22280 | // aten::_adaptive_avg_pool2d_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22281 | inline at::Tensor & _adaptive_avg_pool2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & out) { |
| 22282 | return at::_ops::_adaptive_avg_pool2d_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22283 | } |
| 22284 | |
| 22285 | // aten::_adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22286 | inline at::Tensor & _adaptive_avg_pool3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef output_size) { |
| 22287 | return at::_ops::_adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 22288 | } |
| 22289 | |
| 22290 | // aten::_adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22291 | inline at::Tensor & _adaptive_avg_pool3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef output_size, at::Tensor & out) { |
| 22292 | return at::_ops::_adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(output_size), out); |
| 22293 | } |
| 22294 | |
| 22295 | // aten::_adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22296 | inline at::Tensor & _adaptive_avg_pool3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 22297 | return at::_ops::_adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 22298 | } |
| 22299 | |
| 22300 | // aten::_adaptive_avg_pool3d.out(Tensor self, SymInt[3] output_size, *, Tensor(a!) out) -> Tensor(a!) |
| 22301 | inline at::Tensor & _adaptive_avg_pool3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef output_size, at::Tensor & out) { |
| 22302 | return at::_ops::_adaptive_avg_pool3d_out::redispatch(dispatchKeySet, self, output_size, out); |
| 22303 | } |
| 22304 | |
| 22305 | // aten::_adaptive_avg_pool3d_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22306 | inline at::Tensor & _adaptive_avg_pool3d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad_output, const at::Tensor & self) { |
| 22307 | return at::_ops::_adaptive_avg_pool3d_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22308 | } |
| 22309 | |
| 22310 | // aten::_adaptive_avg_pool3d_backward.out(Tensor grad_output, Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22311 | inline at::Tensor & _adaptive_avg_pool3d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, at::Tensor & out) { |
| 22312 | return at::_ops::_adaptive_avg_pool3d_backward_out::redispatch(dispatchKeySet, grad_output, self, out); |
| 22313 | } |
| 22314 | |
| 22315 | // aten::_slow_conv2d_backward.output_mask_out(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 22316 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _slow_conv2d_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, ::std::array<bool,3> output_mask) { |
| 22317 | return at::_ops::_slow_conv2d_backward_output_mask_out::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_mask, out0, out1, out2); |
| 22318 | } |
| 22319 | |
| 22320 | // aten::_slow_conv2d_backward.output_mask_out(Tensor grad_output, Tensor self, Tensor weight, int[2] kernel_size, int[2] stride, int[2] padding, bool[3] output_mask, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 22321 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _slow_conv2d_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad_output, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, ::std::array<bool,3> output_mask, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 22322 | return at::_ops::_slow_conv2d_backward_output_mask_out::redispatch(dispatchKeySet, grad_output, self, weight, kernel_size, stride, padding, output_mask, out0, out1, out2); |
| 22323 | } |
| 22324 | |
| 22325 | // aten::conv_depthwise3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 22326 | inline at::Tensor & conv_depthwise3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation) { |
| 22327 | return at::_ops::conv_depthwise3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 22328 | } |
| 22329 | |
| 22330 | // aten::conv_depthwise3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 22331 | inline at::Tensor & conv_depthwise3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 22332 | return at::_ops::conv_depthwise3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 22333 | } |
| 22334 | |
| 22335 | // aten::conv_depthwise3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 22336 | inline at::Tensor & conv_depthwise3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation) { |
| 22337 | return at::_ops::conv_depthwise3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 22338 | } |
| 22339 | |
| 22340 | // aten::conv_depthwise3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias, int[3] stride, SymInt[3] padding, int[3] dilation, *, Tensor(a!) out) -> Tensor(a!) |
| 22341 | inline at::Tensor & conv_depthwise3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 22342 | return at::_ops::conv_depthwise3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 22343 | } |
| 22344 | |
| 22345 | // aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22346 | inline at::Tensor & slow_conv_dilated2d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1) { |
| 22347 | return at::_ops::slow_conv_dilated2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 22348 | } |
| 22349 | |
| 22350 | // aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22351 | inline at::Tensor & slow_conv_dilated2d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 22352 | return at::_ops::slow_conv_dilated2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 22353 | } |
| 22354 | |
| 22355 | // aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22356 | inline at::Tensor & slow_conv_dilated2d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 22357 | return at::_ops::slow_conv_dilated2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 22358 | } |
| 22359 | |
| 22360 | // aten::slow_conv_dilated2d.out(Tensor self, Tensor weight, int[2] kernel_size, Tensor? bias=None, int[2] stride=1, SymInt[2] padding=0, int[2] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22361 | inline at::Tensor & slow_conv_dilated2d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 22362 | return at::_ops::slow_conv_dilated2d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 22363 | } |
| 22364 | |
| 22365 | // aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22366 | inline at::Tensor & slow_conv_dilated3d_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, at::IntArrayRef padding=0, at::IntArrayRef dilation=1) { |
| 22367 | return at::_ops::slow_conv_dilated3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 22368 | } |
| 22369 | |
| 22370 | // aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22371 | inline at::Tensor & slow_conv_dilated3d_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 22372 | return at::_ops::slow_conv_dilated3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), dilation, out); |
| 22373 | } |
| 22374 | |
| 22375 | // aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22376 | inline at::Tensor & slow_conv_dilated3d_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias={}, at::IntArrayRef stride=1, c10::SymIntArrayRef padding=c10::SymInt(0), at::IntArrayRef dilation=1) { |
| 22377 | return at::_ops::slow_conv_dilated3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 22378 | } |
| 22379 | |
| 22380 | // aten::slow_conv_dilated3d.out(Tensor self, Tensor weight, int[3] kernel_size, Tensor? bias=None, int[3] stride=1, SymInt[3] padding=0, int[3] dilation=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22381 | inline at::Tensor & slow_conv_dilated3d_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, at::Tensor & out) { |
| 22382 | return at::_ops::slow_conv_dilated3d_out::redispatch(dispatchKeySet, self, weight, kernel_size, bias, stride, padding, dilation, out); |
| 22383 | } |
| 22384 | |
| 22385 | // aten::isinf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22386 | inline at::Tensor & isinf_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22387 | return at::_ops::isinf_out::redispatch(dispatchKeySet, self, out); |
| 22388 | } |
| 22389 | |
| 22390 | // aten::isinf.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22391 | inline at::Tensor & isinf_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22392 | return at::_ops::isinf_out::redispatch(dispatchKeySet, self, out); |
| 22393 | } |
| 22394 | |
| 22395 | // aten::linalg_matrix_exp.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22396 | inline at::Tensor & linalg_matrix_exp_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22397 | return at::_ops::linalg_matrix_exp_out::redispatch(dispatchKeySet, self, out); |
| 22398 | } |
| 22399 | |
| 22400 | // aten::linalg_matrix_exp.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22401 | inline at::Tensor & linalg_matrix_exp_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22402 | return at::_ops::linalg_matrix_exp_out::redispatch(dispatchKeySet, self, out); |
| 22403 | } |
| 22404 | |
| 22405 | // aten::_test_optional_intlist.out(Tensor values, int[]? addends, *, Tensor(a!) out) -> Tensor(a!) |
| 22406 | inline at::Tensor & _test_optional_intlist_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & values, at::OptionalIntArrayRef addends) { |
| 22407 | return at::_ops::_test_optional_intlist_out::redispatch(dispatchKeySet, values, addends, out); |
| 22408 | } |
| 22409 | |
| 22410 | // aten::_test_optional_intlist.out(Tensor values, int[]? addends, *, Tensor(a!) out) -> Tensor(a!) |
| 22411 | inline at::Tensor & _test_optional_intlist_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, at::OptionalIntArrayRef addends, at::Tensor & out) { |
| 22412 | return at::_ops::_test_optional_intlist_out::redispatch(dispatchKeySet, values, addends, out); |
| 22413 | } |
| 22414 | |
| 22415 | // aten::_test_optional_filled_intlist.out(Tensor values, int[2]? addends, *, Tensor(a!) out) -> Tensor(a!) |
| 22416 | inline at::Tensor & _test_optional_filled_intlist_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & values, at::OptionalIntArrayRef addends) { |
| 22417 | return at::_ops::_test_optional_filled_intlist_out::redispatch(dispatchKeySet, values, addends, out); |
| 22418 | } |
| 22419 | |
| 22420 | // aten::_test_optional_filled_intlist.out(Tensor values, int[2]? addends, *, Tensor(a!) out) -> Tensor(a!) |
| 22421 | inline at::Tensor & _test_optional_filled_intlist_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, at::OptionalIntArrayRef addends, at::Tensor & out) { |
| 22422 | return at::_ops::_test_optional_filled_intlist_out::redispatch(dispatchKeySet, values, addends, out); |
| 22423 | } |
| 22424 | |
| 22425 | // aten::_test_optional_floatlist.out(Tensor values, float[]? addends, *, Tensor(a!) out) -> Tensor(a!) |
| 22426 | inline at::Tensor & _test_optional_floatlist_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & values, c10::optional<at::ArrayRef<double>> addends) { |
| 22427 | return at::_ops::_test_optional_floatlist_out::redispatch(dispatchKeySet, values, addends, out); |
| 22428 | } |
| 22429 | |
| 22430 | // aten::_test_optional_floatlist.out(Tensor values, float[]? addends, *, Tensor(a!) out) -> Tensor(a!) |
| 22431 | inline at::Tensor & _test_optional_floatlist_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & values, c10::optional<at::ArrayRef<double>> addends, at::Tensor & out) { |
| 22432 | return at::_ops::_test_optional_floatlist_out::redispatch(dispatchKeySet, values, addends, out); |
| 22433 | } |
| 22434 | |
| 22435 | // aten::_test_warn_in_autograd.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22436 | inline at::Tensor & _test_warn_in_autograd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22437 | return at::_ops::_test_warn_in_autograd_out::redispatch(dispatchKeySet, self, out); |
| 22438 | } |
| 22439 | |
| 22440 | // aten::_test_warn_in_autograd.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22441 | inline at::Tensor & _test_warn_in_autograd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22442 | return at::_ops::_test_warn_in_autograd_out::redispatch(dispatchKeySet, self, out); |
| 22443 | } |
| 22444 | |
| 22445 | // aten::_test_autograd_multiple_dispatch.fullcoverage_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22446 | inline at::Tensor & _test_autograd_multiple_dispatch_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22447 | return at::_ops::_test_autograd_multiple_dispatch_fullcoverage_out::redispatch(dispatchKeySet, self, out); |
| 22448 | } |
| 22449 | |
| 22450 | // aten::_test_autograd_multiple_dispatch.fullcoverage_out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22451 | inline at::Tensor & _test_autograd_multiple_dispatch_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22452 | return at::_ops::_test_autograd_multiple_dispatch_fullcoverage_out::redispatch(dispatchKeySet, self, out); |
| 22453 | } |
| 22454 | |
| 22455 | // aten::_test_autograd_multiple_dispatch_view_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22456 | inline at::Tensor & _test_autograd_multiple_dispatch_view_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22457 | return at::_ops::_test_autograd_multiple_dispatch_view_copy_out::redispatch(dispatchKeySet, self, out); |
| 22458 | } |
| 22459 | |
| 22460 | // aten::_test_autograd_multiple_dispatch_view_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22461 | inline at::Tensor & _test_autograd_multiple_dispatch_view_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22462 | return at::_ops::_test_autograd_multiple_dispatch_view_copy_out::redispatch(dispatchKeySet, self, out); |
| 22463 | } |
| 22464 | |
| 22465 | // aten::segment_reduce.out(Tensor data, str reduce, *, Tensor? lengths=None, Tensor? indices=None, Tensor? offsets=None, int axis=0, bool unsafe=False, Scalar? initial=None, Tensor(a!) out) -> Tensor(a!) |
| 22466 | inline at::Tensor & segment_reduce_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths={}, const c10::optional<at::Tensor> & indices={}, const c10::optional<at::Tensor> & offsets={}, int64_t axis=0, bool unsafe=false, const c10::optional<at::Scalar> & initial=c10::nullopt) { |
| 22467 | return at::_ops::segment_reduce_out::redispatch(dispatchKeySet, data, reduce, lengths, indices, offsets, axis, unsafe, initial, out); |
| 22468 | } |
| 22469 | |
| 22470 | // aten::segment_reduce.out(Tensor data, str reduce, *, Tensor? lengths=None, Tensor? indices=None, Tensor? offsets=None, int axis=0, bool unsafe=False, Scalar? initial=None, Tensor(a!) out) -> Tensor(a!) |
| 22471 | inline at::Tensor & segment_reduce_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths, const c10::optional<at::Tensor> & indices, const c10::optional<at::Tensor> & offsets, int64_t axis, bool unsafe, const c10::optional<at::Scalar> & initial, at::Tensor & out) { |
| 22472 | return at::_ops::segment_reduce_out::redispatch(dispatchKeySet, data, reduce, lengths, indices, offsets, axis, unsafe, initial, out); |
| 22473 | } |
| 22474 | |
| 22475 | // aten::_segment_reduce_backward.out(Tensor grad, Tensor output, Tensor data, str reduce, *, Tensor? lengths=None, Tensor? offsets=None, int axis=0, Scalar? initial=None, Tensor(a!) out) -> Tensor(a!) |
| 22476 | inline at::Tensor & _segment_reduce_backward_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & grad, const at::Tensor & output, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths={}, const c10::optional<at::Tensor> & offsets={}, int64_t axis=0, const c10::optional<at::Scalar> & initial=c10::nullopt) { |
| 22477 | return at::_ops::_segment_reduce_backward_out::redispatch(dispatchKeySet, grad, output, data, reduce, lengths, offsets, axis, initial, out); |
| 22478 | } |
| 22479 | |
| 22480 | // aten::_segment_reduce_backward.out(Tensor grad, Tensor output, Tensor data, str reduce, *, Tensor? lengths=None, Tensor? offsets=None, int axis=0, Scalar? initial=None, Tensor(a!) out) -> Tensor(a!) |
| 22481 | inline at::Tensor & _segment_reduce_backward_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & grad, const at::Tensor & output, const at::Tensor & data, c10::string_view reduce, const c10::optional<at::Tensor> & lengths, const c10::optional<at::Tensor> & offsets, int64_t axis, const c10::optional<at::Scalar> & initial, at::Tensor & out) { |
| 22482 | return at::_ops::_segment_reduce_backward_out::redispatch(dispatchKeySet, grad, output, data, reduce, lengths, offsets, axis, initial, out); |
| 22483 | } |
| 22484 | |
| 22485 | // aten::_nested_tensor_from_tensor_list.out(Tensor[] list, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22486 | inline at::Tensor & _nested_tensor_from_tensor_list_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, at::TensorList list, c10::optional<at::ScalarType> dtype=c10::nullopt, c10::optional<at::Layout> layout=c10::nullopt, c10::optional<at::Device> device=c10::nullopt, c10::optional<bool> pin_memory=c10::nullopt) { |
| 22487 | return at::_ops::_nested_tensor_from_tensor_list_out::redispatch(dispatchKeySet, list, dtype, layout, device, pin_memory, out); |
| 22488 | } |
| 22489 | |
| 22490 | // aten::_nested_tensor_from_tensor_list.out(Tensor[] list, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22491 | inline at::Tensor & _nested_tensor_from_tensor_list_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList list, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory, at::Tensor & out) { |
| 22492 | return at::_ops::_nested_tensor_from_tensor_list_out::redispatch(dispatchKeySet, list, dtype, layout, device, pin_memory, out); |
| 22493 | } |
| 22494 | |
| 22495 | // aten::_fw_primal_copy.out(Tensor self, int level, *, Tensor(a!) out) -> Tensor(a!) |
| 22496 | inline at::Tensor & _fw_primal_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t level) { |
| 22497 | return at::_ops::_fw_primal_copy_out::redispatch(dispatchKeySet, self, level, out); |
| 22498 | } |
| 22499 | |
| 22500 | // aten::_fw_primal_copy.out(Tensor self, int level, *, Tensor(a!) out) -> Tensor(a!) |
| 22501 | inline at::Tensor & _fw_primal_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t level, at::Tensor & out) { |
| 22502 | return at::_ops::_fw_primal_copy_out::redispatch(dispatchKeySet, self, level, out); |
| 22503 | } |
| 22504 | |
| 22505 | // aten::_make_dual_copy.out(Tensor primal, Tensor tangent, int level, *, Tensor(a!) out) -> Tensor(a!) |
| 22506 | inline at::Tensor & _make_dual_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & primal, const at::Tensor & tangent, int64_t level) { |
| 22507 | return at::_ops::_make_dual_copy_out::redispatch(dispatchKeySet, primal, tangent, level, out); |
| 22508 | } |
| 22509 | |
| 22510 | // aten::_make_dual_copy.out(Tensor primal, Tensor tangent, int level, *, Tensor(a!) out) -> Tensor(a!) |
| 22511 | inline at::Tensor & _make_dual_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & primal, const at::Tensor & tangent, int64_t level, at::Tensor & out) { |
| 22512 | return at::_ops::_make_dual_copy_out::redispatch(dispatchKeySet, primal, tangent, level, out); |
| 22513 | } |
| 22514 | |
| 22515 | // aten::view_as_real_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22516 | inline at::Tensor & view_as_real_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22517 | return at::_ops::view_as_real_copy_out::redispatch(dispatchKeySet, self, out); |
| 22518 | } |
| 22519 | |
| 22520 | // aten::view_as_real_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22521 | inline at::Tensor & view_as_real_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22522 | return at::_ops::view_as_real_copy_out::redispatch(dispatchKeySet, self, out); |
| 22523 | } |
| 22524 | |
| 22525 | // aten::view_as_complex_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22526 | inline at::Tensor & view_as_complex_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22527 | return at::_ops::view_as_complex_copy_out::redispatch(dispatchKeySet, self, out); |
| 22528 | } |
| 22529 | |
| 22530 | // aten::view_as_complex_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22531 | inline at::Tensor & view_as_complex_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22532 | return at::_ops::view_as_complex_copy_out::redispatch(dispatchKeySet, self, out); |
| 22533 | } |
| 22534 | |
| 22535 | // aten::_conj_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22536 | inline at::Tensor & _conj_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22537 | return at::_ops::_conj_copy_out::redispatch(dispatchKeySet, self, out); |
| 22538 | } |
| 22539 | |
| 22540 | // aten::_conj_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22541 | inline at::Tensor & _conj_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22542 | return at::_ops::_conj_copy_out::redispatch(dispatchKeySet, self, out); |
| 22543 | } |
| 22544 | |
| 22545 | // aten::_neg_view_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22546 | inline at::Tensor & _neg_view_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22547 | return at::_ops::_neg_view_copy_out::redispatch(dispatchKeySet, self, out); |
| 22548 | } |
| 22549 | |
| 22550 | // aten::_neg_view_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22551 | inline at::Tensor & _neg_view_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22552 | return at::_ops::_neg_view_copy_out::redispatch(dispatchKeySet, self, out); |
| 22553 | } |
| 22554 | |
| 22555 | // aten::as_strided_copy.out(Tensor self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22556 | inline at::Tensor & as_strided_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) { |
| 22557 | return at::_ops::as_strided_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt, out); |
| 22558 | } |
| 22559 | |
| 22560 | // aten::as_strided_copy.out(Tensor self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22561 | inline at::Tensor & as_strided_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset, at::Tensor & out) { |
| 22562 | return at::_ops::as_strided_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt, out); |
| 22563 | } |
| 22564 | |
| 22565 | // aten::as_strided_copy.out(Tensor self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22566 | inline at::Tensor & as_strided_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) { |
| 22567 | return at::_ops::as_strided_copy_out::redispatch(dispatchKeySet, self, size, stride, storage_offset, out); |
| 22568 | } |
| 22569 | |
| 22570 | // aten::as_strided_copy.out(Tensor self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22571 | inline at::Tensor & as_strided_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset, at::Tensor & out) { |
| 22572 | return at::_ops::as_strided_copy_out::redispatch(dispatchKeySet, self, size, stride, storage_offset, out); |
| 22573 | } |
| 22574 | |
| 22575 | // aten::_sparse_broadcast_to_copy.out(Tensor self, int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 22576 | inline at::Tensor & _sparse_broadcast_to_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) { |
| 22577 | return at::_ops::_sparse_broadcast_to_copy_out::redispatch(dispatchKeySet, self, size, out); |
| 22578 | } |
| 22579 | |
| 22580 | // aten::_sparse_broadcast_to_copy.out(Tensor self, int[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 22581 | inline at::Tensor & _sparse_broadcast_to_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) { |
| 22582 | return at::_ops::_sparse_broadcast_to_copy_out::redispatch(dispatchKeySet, self, size, out); |
| 22583 | } |
| 22584 | |
| 22585 | // aten::diagonal_copy.out(Tensor self, int offset=0, int dim1=0, int dim2=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22586 | inline at::Tensor & diagonal_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) { |
| 22587 | return at::_ops::diagonal_copy_out::redispatch(dispatchKeySet, self, offset, dim1, dim2, out); |
| 22588 | } |
| 22589 | |
| 22590 | // aten::diagonal_copy.out(Tensor self, int offset=0, int dim1=0, int dim2=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22591 | inline at::Tensor & diagonal_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t offset, int64_t dim1, int64_t dim2, at::Tensor & out) { |
| 22592 | return at::_ops::diagonal_copy_out::redispatch(dispatchKeySet, self, offset, dim1, dim2, out); |
| 22593 | } |
| 22594 | |
| 22595 | // aten::expand_copy.out(Tensor self, SymInt[] size, *, bool implicit=False, Tensor(a!) out) -> Tensor(a!) |
| 22596 | inline at::Tensor & expand_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, bool implicit=false) { |
| 22597 | return at::_ops::expand_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), implicit, out); |
| 22598 | } |
| 22599 | |
| 22600 | // aten::expand_copy.out(Tensor self, SymInt[] size, *, bool implicit=False, Tensor(a!) out) -> Tensor(a!) |
| 22601 | inline at::Tensor & expand_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, bool implicit, at::Tensor & out) { |
| 22602 | return at::_ops::expand_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), implicit, out); |
| 22603 | } |
| 22604 | |
| 22605 | // aten::expand_copy.out(Tensor self, SymInt[] size, *, bool implicit=False, Tensor(a!) out) -> Tensor(a!) |
| 22606 | inline at::Tensor & expand_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, bool implicit=false) { |
| 22607 | return at::_ops::expand_copy_out::redispatch(dispatchKeySet, self, size, implicit, out); |
| 22608 | } |
| 22609 | |
| 22610 | // aten::expand_copy.out(Tensor self, SymInt[] size, *, bool implicit=False, Tensor(a!) out) -> Tensor(a!) |
| 22611 | inline at::Tensor & expand_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, bool implicit, at::Tensor & out) { |
| 22612 | return at::_ops::expand_copy_out::redispatch(dispatchKeySet, self, size, implicit, out); |
| 22613 | } |
| 22614 | |
| 22615 | // aten::permute_copy.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!) |
| 22616 | inline at::Tensor & permute_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dims) { |
| 22617 | return at::_ops::permute_copy_out::redispatch(dispatchKeySet, self, dims, out); |
| 22618 | } |
| 22619 | |
| 22620 | // aten::permute_copy.out(Tensor self, int[] dims, *, Tensor(a!) out) -> Tensor(a!) |
| 22621 | inline at::Tensor & permute_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dims, at::Tensor & out) { |
| 22622 | return at::_ops::permute_copy_out::redispatch(dispatchKeySet, self, dims, out); |
| 22623 | } |
| 22624 | |
| 22625 | // aten::_reshape_alias_copy.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 22626 | inline at::Tensor & _reshape_alias_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride) { |
| 22627 | return at::_ops::_reshape_alias_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 22628 | } |
| 22629 | |
| 22630 | // aten::_reshape_alias_copy.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 22631 | inline at::Tensor & _reshape_alias_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::IntArrayRef stride, at::Tensor & out) { |
| 22632 | return at::_ops::_reshape_alias_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), out); |
| 22633 | } |
| 22634 | |
| 22635 | // aten::_reshape_alias_copy.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 22636 | inline at::Tensor & _reshape_alias_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) { |
| 22637 | return at::_ops::_reshape_alias_copy_out::redispatch(dispatchKeySet, self, size, stride, out); |
| 22638 | } |
| 22639 | |
| 22640 | // aten::_reshape_alias_copy.out(Tensor self, SymInt[] size, SymInt[] stride, *, Tensor(a!) out) -> Tensor(a!) |
| 22641 | inline at::Tensor & _reshape_alias_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::Tensor & out) { |
| 22642 | return at::_ops::_reshape_alias_copy_out::redispatch(dispatchKeySet, self, size, stride, out); |
| 22643 | } |
| 22644 | |
| 22645 | // aten::select_copy.int_out(Tensor self, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 22646 | inline at::Tensor & select_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, int64_t index) { |
| 22647 | return at::_ops::select_copy_int_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 22648 | } |
| 22649 | |
| 22650 | // aten::select_copy.int_out(Tensor self, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 22651 | inline at::Tensor & select_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, int64_t index, at::Tensor & out) { |
| 22652 | return at::_ops::select_copy_int_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 22653 | } |
| 22654 | |
| 22655 | // aten::select_copy.int_out(Tensor self, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 22656 | inline at::Tensor & select_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim, c10::SymInt index) { |
| 22657 | return at::_ops::select_copy_int_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 22658 | } |
| 22659 | |
| 22660 | // aten::select_copy.int_out(Tensor self, int dim, SymInt index, *, Tensor(a!) out) -> Tensor(a!) |
| 22661 | inline at::Tensor & select_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::SymInt index, at::Tensor & out) { |
| 22662 | return at::_ops::select_copy_int_out::redispatch(dispatchKeySet, self, dim, index, out); |
| 22663 | } |
| 22664 | |
| 22665 | // aten::detach_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22666 | inline at::Tensor & detach_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22667 | return at::_ops::detach_copy_out::redispatch(dispatchKeySet, self, out); |
| 22668 | } |
| 22669 | |
| 22670 | // aten::detach_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22671 | inline at::Tensor & detach_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22672 | return at::_ops::detach_copy_out::redispatch(dispatchKeySet, self, out); |
| 22673 | } |
| 22674 | |
| 22675 | // aten::slice_copy.Tensor_out(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22676 | inline at::Tensor & slice_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) { |
| 22677 | return at::_ops::slice_copy_Tensor_out::redispatch(dispatchKeySet, self, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step, out); |
| 22678 | } |
| 22679 | |
| 22680 | // aten::slice_copy.Tensor_out(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22681 | inline at::Tensor & slice_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<int64_t> start, c10::optional<int64_t> end, int64_t step, at::Tensor & out) { |
| 22682 | return at::_ops::slice_copy_Tensor_out::redispatch(dispatchKeySet, self, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step, out); |
| 22683 | } |
| 22684 | |
| 22685 | // aten::slice_copy.Tensor_out(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22686 | inline at::Tensor & slice_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim=0, c10::optional<c10::SymInt> start=c10::nullopt, c10::optional<c10::SymInt> end=c10::nullopt, c10::SymInt step=1) { |
| 22687 | return at::_ops::slice_copy_Tensor_out::redispatch(dispatchKeySet, self, dim, start, end, step, out); |
| 22688 | } |
| 22689 | |
| 22690 | // aten::slice_copy.Tensor_out(Tensor self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1, *, Tensor(a!) out) -> Tensor(a!) |
| 22691 | inline at::Tensor & slice_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, c10::optional<c10::SymInt> start, c10::optional<c10::SymInt> end, c10::SymInt step, at::Tensor & out) { |
| 22692 | return at::_ops::slice_copy_Tensor_out::redispatch(dispatchKeySet, self, dim, start, end, step, out); |
| 22693 | } |
| 22694 | |
| 22695 | // aten::squeeze_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22696 | inline at::Tensor & squeeze_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22697 | return at::_ops::squeeze_copy_out::redispatch(dispatchKeySet, self, out); |
| 22698 | } |
| 22699 | |
| 22700 | // aten::squeeze_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22701 | inline at::Tensor & squeeze_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22702 | return at::_ops::squeeze_copy_out::redispatch(dispatchKeySet, self, out); |
| 22703 | } |
| 22704 | |
| 22705 | // aten::squeeze_copy.dim_out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22706 | inline at::Tensor & squeeze_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim) { |
| 22707 | return at::_ops::squeeze_copy_dim_out::redispatch(dispatchKeySet, self, dim, out); |
| 22708 | } |
| 22709 | |
| 22710 | // aten::squeeze_copy.dim_out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22711 | inline at::Tensor & squeeze_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) { |
| 22712 | return at::_ops::squeeze_copy_dim_out::redispatch(dispatchKeySet, self, dim, out); |
| 22713 | } |
| 22714 | |
| 22715 | // aten::squeeze_copy.dims_out(Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22716 | inline at::Tensor & squeeze_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim) { |
| 22717 | return at::_ops::squeeze_copy_dims_out::redispatch(dispatchKeySet, self, dim, out); |
| 22718 | } |
| 22719 | |
| 22720 | // aten::squeeze_copy.dims_out(Tensor self, int[] dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22721 | inline at::Tensor & squeeze_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, at::Tensor & out) { |
| 22722 | return at::_ops::squeeze_copy_dims_out::redispatch(dispatchKeySet, self, dim, out); |
| 22723 | } |
| 22724 | |
| 22725 | // aten::t_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22726 | inline at::Tensor & t_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22727 | return at::_ops::t_copy_out::redispatch(dispatchKeySet, self, out); |
| 22728 | } |
| 22729 | |
| 22730 | // aten::t_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22731 | inline at::Tensor & t_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22732 | return at::_ops::t_copy_out::redispatch(dispatchKeySet, self, out); |
| 22733 | } |
| 22734 | |
| 22735 | // aten::transpose_copy.int_out(Tensor self, int dim0, int dim1, *, Tensor(a!) out) -> Tensor(a!) |
| 22736 | inline at::Tensor & transpose_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 22737 | return at::_ops::transpose_copy_int_out::redispatch(dispatchKeySet, self, dim0, dim1, out); |
| 22738 | } |
| 22739 | |
| 22740 | // aten::transpose_copy.int_out(Tensor self, int dim0, int dim1, *, Tensor(a!) out) -> Tensor(a!) |
| 22741 | inline at::Tensor & transpose_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim0, int64_t dim1, at::Tensor & out) { |
| 22742 | return at::_ops::transpose_copy_int_out::redispatch(dispatchKeySet, self, dim0, dim1, out); |
| 22743 | } |
| 22744 | |
| 22745 | // aten::unsqueeze_copy.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22746 | inline at::Tensor & unsqueeze_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dim) { |
| 22747 | return at::_ops::unsqueeze_copy_out::redispatch(dispatchKeySet, self, dim, out); |
| 22748 | } |
| 22749 | |
| 22750 | // aten::unsqueeze_copy.out(Tensor self, int dim, *, Tensor(a!) out) -> Tensor(a!) |
| 22751 | inline at::Tensor & unsqueeze_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::Tensor & out) { |
| 22752 | return at::_ops::unsqueeze_copy_out::redispatch(dispatchKeySet, self, dim, out); |
| 22753 | } |
| 22754 | |
| 22755 | // aten::_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22756 | inline at::Tensor & _indices_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22757 | return at::_ops::_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22758 | } |
| 22759 | |
| 22760 | // aten::_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22761 | inline at::Tensor & _indices_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22762 | return at::_ops::_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22763 | } |
| 22764 | |
| 22765 | // aten::_values_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22766 | inline at::Tensor & _values_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22767 | return at::_ops::_values_copy_out::redispatch(dispatchKeySet, self, out); |
| 22768 | } |
| 22769 | |
| 22770 | // aten::_values_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22771 | inline at::Tensor & _values_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22772 | return at::_ops::_values_copy_out::redispatch(dispatchKeySet, self, out); |
| 22773 | } |
| 22774 | |
| 22775 | // aten::indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22776 | inline at::Tensor & indices_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22777 | return at::_ops::indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22778 | } |
| 22779 | |
| 22780 | // aten::indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22781 | inline at::Tensor & indices_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22782 | return at::_ops::indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22783 | } |
| 22784 | |
| 22785 | // aten::values_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22786 | inline at::Tensor & values_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22787 | return at::_ops::values_copy_out::redispatch(dispatchKeySet, self, out); |
| 22788 | } |
| 22789 | |
| 22790 | // aten::values_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22791 | inline at::Tensor & values_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22792 | return at::_ops::values_copy_out::redispatch(dispatchKeySet, self, out); |
| 22793 | } |
| 22794 | |
| 22795 | // aten::crow_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22796 | inline at::Tensor & crow_indices_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22797 | return at::_ops::crow_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22798 | } |
| 22799 | |
| 22800 | // aten::crow_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22801 | inline at::Tensor & crow_indices_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22802 | return at::_ops::crow_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22803 | } |
| 22804 | |
| 22805 | // aten::col_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22806 | inline at::Tensor & col_indices_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22807 | return at::_ops::col_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22808 | } |
| 22809 | |
| 22810 | // aten::col_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22811 | inline at::Tensor & col_indices_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22812 | return at::_ops::col_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22813 | } |
| 22814 | |
| 22815 | // aten::ccol_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22816 | inline at::Tensor & ccol_indices_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22817 | return at::_ops::ccol_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22818 | } |
| 22819 | |
| 22820 | // aten::ccol_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22821 | inline at::Tensor & ccol_indices_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22822 | return at::_ops::ccol_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22823 | } |
| 22824 | |
| 22825 | // aten::row_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22826 | inline at::Tensor & row_indices_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22827 | return at::_ops::row_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22828 | } |
| 22829 | |
| 22830 | // aten::row_indices_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22831 | inline at::Tensor & row_indices_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22832 | return at::_ops::row_indices_copy_out::redispatch(dispatchKeySet, self, out); |
| 22833 | } |
| 22834 | |
| 22835 | // aten::view_copy.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 22836 | inline at::Tensor & view_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::IntArrayRef size) { |
| 22837 | return at::_ops::view_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 22838 | } |
| 22839 | |
| 22840 | // aten::view_copy.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 22841 | inline at::Tensor & view_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef size, at::Tensor & out) { |
| 22842 | return at::_ops::view_copy_out::redispatch(dispatchKeySet, self, c10::fromIntArrayRefSlow(size), out); |
| 22843 | } |
| 22844 | |
| 22845 | // aten::view_copy.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 22846 | inline at::Tensor & view_copy_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, c10::SymIntArrayRef size) { |
| 22847 | return at::_ops::view_copy_out::redispatch(dispatchKeySet, self, size, out); |
| 22848 | } |
| 22849 | |
| 22850 | // aten::view_copy.out(Tensor self, SymInt[] size, *, Tensor(a!) out) -> Tensor(a!) |
| 22851 | inline at::Tensor & view_copy_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, c10::SymIntArrayRef size, at::Tensor & out) { |
| 22852 | return at::_ops::view_copy_out::redispatch(dispatchKeySet, self, size, out); |
| 22853 | } |
| 22854 | |
| 22855 | // aten::view_copy.dtype_out(Tensor self, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 22856 | inline at::Tensor & view_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, at::ScalarType dtype) { |
| 22857 | return at::_ops::view_copy_dtype_out::redispatch(dispatchKeySet, self, dtype, out); |
| 22858 | } |
| 22859 | |
| 22860 | // aten::view_copy.dtype_out(Tensor self, ScalarType dtype, *, Tensor(a!) out) -> Tensor(a!) |
| 22861 | inline at::Tensor & view_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ScalarType dtype, at::Tensor & out) { |
| 22862 | return at::_ops::view_copy_dtype_out::redispatch(dispatchKeySet, self, dtype, out); |
| 22863 | } |
| 22864 | |
| 22865 | // aten::unfold_copy.out(Tensor self, int dimension, int size, int step, *, Tensor(a!) out) -> Tensor(a!) |
| 22866 | inline at::Tensor & unfold_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, int64_t dimension, int64_t size, int64_t step) { |
| 22867 | return at::_ops::unfold_copy_out::redispatch(dispatchKeySet, self, dimension, size, step, out); |
| 22868 | } |
| 22869 | |
| 22870 | // aten::unfold_copy.out(Tensor self, int dimension, int size, int step, *, Tensor(a!) out) -> Tensor(a!) |
| 22871 | inline at::Tensor & unfold_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dimension, int64_t size, int64_t step, at::Tensor & out) { |
| 22872 | return at::_ops::unfold_copy_out::redispatch(dispatchKeySet, self, dimension, size, step, out); |
| 22873 | } |
| 22874 | |
| 22875 | // aten::alias_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22876 | inline at::Tensor & alias_copy_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self) { |
| 22877 | return at::_ops::alias_copy_out::redispatch(dispatchKeySet, self, out); |
| 22878 | } |
| 22879 | |
| 22880 | // aten::alias_copy.out(Tensor self, *, Tensor(a!) out) -> Tensor(a!) |
| 22881 | inline at::Tensor & alias_copy_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & out) { |
| 22882 | return at::_ops::alias_copy_out::redispatch(dispatchKeySet, self, out); |
| 22883 | } |
| 22884 | |
| 22885 | // aten::to_padded_tensor.out(Tensor self, float padding, SymInt[]? output_size=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22886 | inline at::Tensor & to_padded_tensor_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double padding, at::OptionalIntArrayRef output_size=c10::nullopt) { |
| 22887 | return at::_ops::to_padded_tensor_out::redispatch(dispatchKeySet, self, padding, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, out); |
| 22888 | } |
| 22889 | |
| 22890 | // aten::to_padded_tensor.out(Tensor self, float padding, SymInt[]? output_size=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22891 | inline at::Tensor & to_padded_tensor_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double padding, at::OptionalIntArrayRef output_size, at::Tensor & out) { |
| 22892 | return at::_ops::to_padded_tensor_out::redispatch(dispatchKeySet, self, padding, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, out); |
| 22893 | } |
| 22894 | |
| 22895 | // aten::to_padded_tensor.out(Tensor self, float padding, SymInt[]? output_size=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22896 | inline at::Tensor & to_padded_tensor_symint_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, double padding, at::OptionalSymIntArrayRef output_size=c10::nullopt) { |
| 22897 | return at::_ops::to_padded_tensor_out::redispatch(dispatchKeySet, self, padding, output_size, out); |
| 22898 | } |
| 22899 | |
| 22900 | // aten::to_padded_tensor.out(Tensor self, float padding, SymInt[]? output_size=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22901 | inline at::Tensor & to_padded_tensor_symint_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double padding, at::OptionalSymIntArrayRef output_size, at::Tensor & out) { |
| 22902 | return at::_ops::to_padded_tensor_out::redispatch(dispatchKeySet, self, padding, output_size, out); |
| 22903 | } |
| 22904 | |
| 22905 | // aten::_transformer_encoder_layer_fwd.out(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, int? mask_type=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22906 | inline at::Tensor & _transformer_encoder_layer_fwd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & src, int64_t embed_dim, int64_t num_heads, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, bool use_gelu, bool norm_first, double eps, const at::Tensor & norm_weight_1, const at::Tensor & norm_bias_1, const at::Tensor & norm_weight_2, const at::Tensor & norm_bias_2, const at::Tensor & ffn_weight_1, const at::Tensor & ffn_bias_1, const at::Tensor & ffn_weight_2, const at::Tensor & ffn_bias_2, const c10::optional<at::Tensor> & mask={}, c10::optional<int64_t> mask_type=c10::nullopt) { |
| 22907 | return at::_ops::_transformer_encoder_layer_fwd_out::redispatch(dispatchKeySet, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, mask_type, out); |
| 22908 | } |
| 22909 | |
| 22910 | // aten::_transformer_encoder_layer_fwd.out(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, int? mask_type=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22911 | inline at::Tensor & _transformer_encoder_layer_fwd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & src, int64_t embed_dim, int64_t num_heads, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, bool use_gelu, bool norm_first, double eps, const at::Tensor & norm_weight_1, const at::Tensor & norm_bias_1, const at::Tensor & norm_weight_2, const at::Tensor & norm_bias_2, const at::Tensor & ffn_weight_1, const at::Tensor & ffn_bias_1, const at::Tensor & ffn_weight_2, const at::Tensor & ffn_bias_2, const c10::optional<at::Tensor> & mask, c10::optional<int64_t> mask_type, at::Tensor & out) { |
| 22912 | return at::_ops::_transformer_encoder_layer_fwd_out::redispatch(dispatchKeySet, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, mask_type, out); |
| 22913 | } |
| 22914 | |
| 22915 | // aten::_native_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, bool need_weights=True, bool average_attn_weights=True, int? mask_type=None, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 22916 | inline ::std::tuple<at::Tensor &,at::Tensor &> _native_multi_head_attention_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask={}, bool need_weights=true, bool average_attn_weights=true, c10::optional<int64_t> mask_type=c10::nullopt) { |
| 22917 | return at::_ops::_native_multi_head_attention_out::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, need_weights, average_attn_weights, mask_type, out0, out1); |
| 22918 | } |
| 22919 | |
| 22920 | // aten::_native_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, bool need_weights=True, bool average_attn_weights=True, int? mask_type=None, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
| 22921 | inline ::std::tuple<at::Tensor &,at::Tensor &> _native_multi_head_attention_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask, bool need_weights, bool average_attn_weights, c10::optional<int64_t> mask_type, at::Tensor & out0, at::Tensor & out1) { |
| 22922 | return at::_ops::_native_multi_head_attention_out::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, need_weights, average_attn_weights, mask_type, out0, out1); |
| 22923 | } |
| 22924 | |
| 22925 | // aten::_triton_scaled_dot_attention.out(Tensor q, Tensor k, Tensor v, float dropout_p=0.0, *, Tensor(a!) out) -> Tensor(a!) |
| 22926 | inline at::Tensor & _triton_scaled_dot_attention_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & q, const at::Tensor & k, const at::Tensor & v, double dropout_p=0.0) { |
| 22927 | return at::_ops::_triton_scaled_dot_attention_out::redispatch(dispatchKeySet, q, k, v, dropout_p, out); |
| 22928 | } |
| 22929 | |
| 22930 | // aten::_triton_scaled_dot_attention.out(Tensor q, Tensor k, Tensor v, float dropout_p=0.0, *, Tensor(a!) out) -> Tensor(a!) |
| 22931 | inline at::Tensor & _triton_scaled_dot_attention_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & q, const at::Tensor & k, const at::Tensor & v, double dropout_p, at::Tensor & out) { |
| 22932 | return at::_ops::_triton_scaled_dot_attention_out::redispatch(dispatchKeySet, q, k, v, dropout_p, out); |
| 22933 | } |
| 22934 | |
| 22935 | // aten::_triton_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22936 | inline at::Tensor & _triton_multi_head_attention_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask={}) { |
| 22937 | return at::_ops::_triton_multi_head_attention_out::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, out); |
| 22938 | } |
| 22939 | |
| 22940 | // aten::_triton_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, *, Tensor(a!) out) -> Tensor(a!) |
| 22941 | inline at::Tensor & _triton_multi_head_attention_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask, at::Tensor & out) { |
| 22942 | return at::_ops::_triton_multi_head_attention_out::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, out); |
| 22943 | } |
| 22944 | |
| 22945 | // aten::_transformer_decoder_only_layer_fwd.out(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 22946 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _transformer_decoder_only_layer_fwd_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, const at::Tensor & src, int64_t embed_dim, int64_t num_heads, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, bool use_gelu, bool norm_first, double eps, const at::Tensor & norm_weight_1, const at::Tensor & norm_bias_1, const at::Tensor & norm_weight_2, const at::Tensor & norm_bias_2, const at::Tensor & ffn_weight_1, const at::Tensor & ffn_bias_1, const at::Tensor & ffn_weight_2, const at::Tensor & ffn_bias_2, const c10::optional<at::Tensor> & mask={}, const c10::optional<at::Tensor> & incr_key={}, const c10::optional<at::Tensor> & incr_value={}) { |
| 22947 | return at::_ops::_transformer_decoder_only_layer_fwd_out::redispatch(dispatchKeySet, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value, out0, out1, out2); |
| 22948 | } |
| 22949 | |
| 22950 | // aten::_transformer_decoder_only_layer_fwd.out(Tensor src, int embed_dim, int num_heads, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, bool use_gelu, bool norm_first, float eps, Tensor norm_weight_1, Tensor norm_bias_1, Tensor norm_weight_2, Tensor norm_bias_2, Tensor ffn_weight_1, Tensor ffn_bias_1, Tensor ffn_weight_2, Tensor ffn_bias_2, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2) -> (Tensor(a!), Tensor(b!), Tensor(c!)) |
| 22951 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> _transformer_decoder_only_layer_fwd_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & src, int64_t embed_dim, int64_t num_heads, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, bool use_gelu, bool norm_first, double eps, const at::Tensor & norm_weight_1, const at::Tensor & norm_bias_1, const at::Tensor & norm_weight_2, const at::Tensor & norm_bias_2, const at::Tensor & ffn_weight_1, const at::Tensor & ffn_bias_1, const at::Tensor & ffn_weight_2, const at::Tensor & ffn_bias_2, const c10::optional<at::Tensor> & mask, const c10::optional<at::Tensor> & incr_key, const c10::optional<at::Tensor> & incr_value, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2) { |
| 22952 | return at::_ops::_transformer_decoder_only_layer_fwd_out::redispatch(dispatchKeySet, src, embed_dim, num_heads, qkv_weight, qkv_bias, proj_weight, proj_bias, use_gelu, norm_first, eps, norm_weight_1, norm_bias_1, norm_weight_2, norm_bias_2, ffn_weight_1, ffn_bias_1, ffn_weight_2, ffn_bias_2, mask, incr_key, incr_value, out0, out1, out2); |
| 22953 | } |
| 22954 | |
| 22955 | // aten::_native_decoder_only_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, bool need_weights=True, bool average_attn_weights=True, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 22956 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _native_decoder_only_multi_head_attention_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask={}, const c10::optional<at::Tensor> & incr_key={}, const c10::optional<at::Tensor> & incr_value={}, bool need_weights=true, bool average_attn_weights=true) { |
| 22957 | return at::_ops::_native_decoder_only_multi_head_attention_out::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights, out0, out1, out2, out3); |
| 22958 | } |
| 22959 | |
| 22960 | // aten::_native_decoder_only_multi_head_attention.out(Tensor query, Tensor key, Tensor value, int embed_dim, int num_head, Tensor qkv_weight, Tensor qkv_bias, Tensor proj_weight, Tensor proj_bias, Tensor? mask=None, Tensor? incr_key=None, Tensor? incr_value=None, bool need_weights=True, bool average_attn_weights=True, *, Tensor(a!) out0, Tensor(b!) out1, Tensor(c!) out2, Tensor(d!) out3) -> (Tensor(a!), Tensor(b!), Tensor(c!), Tensor(d!)) |
| 22961 | inline ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &,at::Tensor &> _native_decoder_only_multi_head_attention_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, int64_t embed_dim, int64_t num_head, const at::Tensor & qkv_weight, const at::Tensor & qkv_bias, const at::Tensor & proj_weight, const at::Tensor & proj_bias, const c10::optional<at::Tensor> & mask, const c10::optional<at::Tensor> & incr_key, const c10::optional<at::Tensor> & incr_value, bool need_weights, bool average_attn_weights, at::Tensor & out0, at::Tensor & out1, at::Tensor & out2, at::Tensor & out3) { |
| 22962 | return at::_ops::_native_decoder_only_multi_head_attention_out::redispatch(dispatchKeySet, query, key, value, embed_dim, num_head, qkv_weight, qkv_bias, proj_weight, proj_bias, mask, incr_key, incr_value, need_weights, average_attn_weights, out0, out1, out2, out3); |
| 22963 | } |
| 22964 | |
| 22965 | // aten::_foobar.out(Tensor self, bool arg1=True, bool arg2=True, *, bool arg3=True, Tensor(a!) out) -> Tensor(a!) |
| 22966 | inline at::Tensor & _foobar_out(c10::DispatchKeySet dispatchKeySet, at::Tensor & out, const at::Tensor & self, bool arg1=true, bool arg2=true, bool arg3=true) { |
| 22967 | return at::_ops::_foobar_out::redispatch(dispatchKeySet, self, arg1, arg2, arg3, out); |
| 22968 | } |
| 22969 | |
| 22970 | // aten::_foobar.out(Tensor self, bool arg1=True, bool arg2=True, *, bool arg3=True, Tensor(a!) out) -> Tensor(a!) |
| 22971 | inline at::Tensor & _foobar_outf(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, bool arg1, bool arg2, bool arg3, at::Tensor & out) { |
| 22972 | return at::_ops::_foobar_out::redispatch(dispatchKeySet, self, arg1, arg2, arg3, out); |
| 22973 | } |
| 22974 | |
| 22975 | // aten::_fused_adam.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> () |
| 22976 | inline void _fused_adam_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale={}, const c10::optional<at::Tensor> & found_inf={}) { |
| 22977 | return at::_ops::_fused_adam_out::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf, out); |
| 22978 | } |
| 22979 | |
| 22980 | // aten::_fused_adam.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> () |
| 22981 | inline void _fused_adam_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale, const c10::optional<at::Tensor> & found_inf, at::TensorList out) { |
| 22982 | return at::_ops::_fused_adam_out::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf, out); |
| 22983 | } |
| 22984 | |
| 22985 | // aten::_fused_adam(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out) |
| 22986 | inline ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> _fused_adam(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale={}, const c10::optional<at::Tensor> & found_inf={}) { |
| 22987 | return at::_ops::_fused_adam::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); |
| 22988 | } |
| 22989 | |
| 22990 | // aten::_fused_adamw.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> () |
| 22991 | inline void _fused_adamw_out(c10::DispatchKeySet dispatchKeySet, at::TensorList out, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale={}, const c10::optional<at::Tensor> & found_inf={}) { |
| 22992 | return at::_ops::_fused_adamw_out::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf, out); |
| 22993 | } |
| 22994 | |
| 22995 | // aten::_fused_adamw.out(Tensor[] self, Tensor(b!)[] grads, Tensor(c!)[] exp_avgs, Tensor(d!)[] exp_avg_sqs, Tensor(e!)[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None, Tensor(a!)[] out) -> () |
| 22996 | inline void _fused_adamw_outf(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale, const c10::optional<at::Tensor> & found_inf, at::TensorList out) { |
| 22997 | return at::_ops::_fused_adamw_out::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf, out); |
| 22998 | } |
| 22999 | |
| 23000 | // aten::_fused_adamw(Tensor[] self, Tensor[] grads, Tensor[] exp_avgs, Tensor[] exp_avg_sqs, Tensor[] max_exp_avg_sqs, Tensor[] state_steps, *, float lr, float beta1, float beta2, float weight_decay, float eps, bool amsgrad, bool maximize, Tensor? grad_scale=None, Tensor? found_inf=None) -> (Tensor[] self_out, Tensor[] grads_out, Tensor[] exp_avgs_out, Tensor[] exp_avg_sqs_out, Tensor[] max_exp_avg_sqs_out) |
| 23001 | inline ::std::tuple<::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>,::std::vector<at::Tensor>> _fused_adamw(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList grads, at::TensorList exp_avgs, at::TensorList exp_avg_sqs, at::TensorList max_exp_avg_sqs, at::TensorList state_steps, double lr, double beta1, double beta2, double weight_decay, double eps, bool amsgrad, bool maximize, const c10::optional<at::Tensor> & grad_scale={}, const c10::optional<at::Tensor> & found_inf={}) { |
| 23002 | return at::_ops::_fused_adamw::redispatch(dispatchKeySet, self, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, lr, beta1, beta2, weight_decay, eps, amsgrad, maximize, grad_scale, found_inf); |
| 23003 | } |
| 23004 | } // namespace redispatch |
| 23005 | |
| 23006 | } |
| 23007 |
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