| 1 | // required for old g++ to compile PRId64 macros, see |
|---|---|
| 2 | // https://github.com/pytorch/pytorch/issues/3571 |
| 3 | // for context |
| 4 | #ifndef __STDC_FORMAT_MACROS |
| 5 | #define __STDC_FORMAT_MACROS |
| 6 | #endif |
| 7 | |
| 8 | // an external backend might generate file within its code tree |
| 9 | // and check all the source files within the tree with clang-format. |
| 10 | // so, disable it since the backend might have a different config. |
| 11 | // clang-format off |
| 12 | |
| 13 | // NOTE: This condition is true for all PyTorch internal libraries, it |
| 14 | // just excludes external projects such as torch_xla which |
| 15 | // re-use some of the PyTorch codegen machinery. |
| 16 | #if defined(CAFFE2_BUILD_MAIN_LIB) || \ |
| 17 | defined(TORCH_CUDA_BUILD_MAIN_LIB) || \ |
| 18 | defined(TORCH_HIP_BUILD_MAIN_LIB) || \ |
| 19 | defined(TORCH_CUDA_CU_BUILD_MAIN_LIB) || \ |
| 20 | defined(TORCH_CUDA_CPP_BUILD_MAIN_LIB) |
| 21 | #define TORCH_ASSERT_ONLY_METHOD_OPERATORS |
| 22 | #endif |
| 23 | |
| 24 | // @generated by torchgen/gen.py from RegisterDispatchKey.cpp |
| 25 | |
| 26 | #include <c10/core/TensorImpl.h> |
| 27 | #include <c10/core/Allocator.h> |
| 28 | #include <ATen/DeviceGuard.h> |
| 29 | #include <ATen/NamedTensorUtils.h> |
| 30 | #include <ATen/Utils.h> |
| 31 | #include <ATen/WrapDimUtils.h> |
| 32 | #include <ATen/Dispatch.h> |
| 33 | #include <c10/util/ExclusivelyOwned.h> |
| 34 | #include <c10/util/Half.h> |
| 35 | #include <c10/core/UndefinedTensorImpl.h> |
| 36 | #include <c10/util/Optional.h> |
| 37 | #include <ATen/Tensor.h> |
| 38 | #include <ATen/native/Resize.h> |
| 39 | |
| 40 | #include <cstddef> |
| 41 | #include <functional> |
| 42 | #include <memory> |
| 43 | #include <utility> |
| 44 | |
| 45 | #include <ATen/Config.h> |
| 46 | #include <ATen/core/op_registration/adaption.h> |
| 47 | #include <torch/library.h> |
| 48 | |
| 49 | |
| 50 | #include <ATen/ops/as_strided_native.h> |
| 51 | #include <ATen/ops/empty.h> |
| 52 | #include <ATen/ops/empty_strided.h> |
| 53 | #include <ATen/ops/_copy_from_and_resize.h> |
| 54 | #include <ATen/ops/_copy_from.h> |
| 55 | #include <ATen/ops/_add_batch_dim_compositeimplicitautograd_dispatch.h> |
| 56 | #include <ATen/ops/_add_batch_dim_native.h> |
| 57 | #include <ATen/ops/_assert_tensor_metadata_compositeimplicitautograd_dispatch.h> |
| 58 | #include <ATen/ops/_assert_tensor_metadata_native.h> |
| 59 | #include <ATen/ops/_autocast_to_full_precision_compositeimplicitautograd_dispatch.h> |
| 60 | #include <ATen/ops/_autocast_to_full_precision_native.h> |
| 61 | #include <ATen/ops/_autocast_to_reduced_precision_compositeimplicitautograd_dispatch.h> |
| 62 | #include <ATen/ops/_autocast_to_reduced_precision_native.h> |
| 63 | #include <ATen/ops/_backward_compositeimplicitautograd_dispatch.h> |
| 64 | #include <ATen/ops/_backward_native.h> |
| 65 | #include <ATen/ops/_batch_norm_impl_index_backward_compositeimplicitautograd_dispatch.h> |
| 66 | #include <ATen/ops/_batch_norm_impl_index_backward_native.h> |
| 67 | #include <ATen/ops/_batch_norm_impl_index_compositeimplicitautograd_dispatch.h> |
| 68 | #include <ATen/ops/_batch_norm_impl_index_native.h> |
| 69 | #include <ATen/ops/_cast_Byte_compositeimplicitautograd_dispatch.h> |
| 70 | #include <ATen/ops/_cast_Byte_native.h> |
| 71 | #include <ATen/ops/_cast_Char_compositeimplicitautograd_dispatch.h> |
| 72 | #include <ATen/ops/_cast_Char_native.h> |
| 73 | #include <ATen/ops/_cast_Double_compositeimplicitautograd_dispatch.h> |
| 74 | #include <ATen/ops/_cast_Double_native.h> |
| 75 | #include <ATen/ops/_cast_Float_compositeimplicitautograd_dispatch.h> |
| 76 | #include <ATen/ops/_cast_Float_native.h> |
| 77 | #include <ATen/ops/_cast_Half_compositeimplicitautograd_dispatch.h> |
| 78 | #include <ATen/ops/_cast_Half_native.h> |
| 79 | #include <ATen/ops/_cast_Int_compositeimplicitautograd_dispatch.h> |
| 80 | #include <ATen/ops/_cast_Int_native.h> |
| 81 | #include <ATen/ops/_cast_Long_compositeimplicitautograd_dispatch.h> |
| 82 | #include <ATen/ops/_cast_Long_native.h> |
| 83 | #include <ATen/ops/_cast_Short_compositeimplicitautograd_dispatch.h> |
| 84 | #include <ATen/ops/_cast_Short_native.h> |
| 85 | #include <ATen/ops/_choose_qparams_per_tensor_compositeimplicitautograd_dispatch.h> |
| 86 | #include <ATen/ops/_choose_qparams_per_tensor_native.h> |
| 87 | #include <ATen/ops/_convolution_compositeimplicitautograd_dispatch.h> |
| 88 | #include <ATen/ops/_convolution_double_backward_compositeimplicitautograd_dispatch.h> |
| 89 | #include <ATen/ops/_convolution_double_backward_native.h> |
| 90 | #include <ATen/ops/_convolution_mode_compositeimplicitautograd_dispatch.h> |
| 91 | #include <ATen/ops/_convolution_mode_native.h> |
| 92 | #include <ATen/ops/_convolution_native.h> |
| 93 | #include <ATen/ops/_cufft_clear_plan_cache_compositeimplicitautograd_dispatch.h> |
| 94 | #include <ATen/ops/_cufft_clear_plan_cache_native.h> |
| 95 | #include <ATen/ops/_cufft_get_plan_cache_max_size_compositeimplicitautograd_dispatch.h> |
| 96 | #include <ATen/ops/_cufft_get_plan_cache_max_size_native.h> |
| 97 | #include <ATen/ops/_cufft_get_plan_cache_size_compositeimplicitautograd_dispatch.h> |
| 98 | #include <ATen/ops/_cufft_get_plan_cache_size_native.h> |
| 99 | #include <ATen/ops/_cufft_set_plan_cache_max_size_compositeimplicitautograd_dispatch.h> |
| 100 | #include <ATen/ops/_cufft_set_plan_cache_max_size_native.h> |
| 101 | #include <ATen/ops/_debug_has_internal_overlap_compositeimplicitautograd_dispatch.h> |
| 102 | #include <ATen/ops/_debug_has_internal_overlap_native.h> |
| 103 | #include <ATen/ops/_dim_arange_compositeimplicitautograd_dispatch.h> |
| 104 | #include <ATen/ops/_dim_arange_native.h> |
| 105 | #include <ATen/ops/_embedding_bag_backward_compositeimplicitautograd_dispatch.h> |
| 106 | #include <ATen/ops/_embedding_bag_backward_native.h> |
| 107 | #include <ATen/ops/_embedding_bag_sparse_backward_compositeimplicitautograd_dispatch.h> |
| 108 | #include <ATen/ops/_embedding_bag_sparse_backward_native.h> |
| 109 | #include <ATen/ops/_gather_sparse_backward_compositeimplicitautograd_dispatch.h> |
| 110 | #include <ATen/ops/_gather_sparse_backward_native.h> |
| 111 | #include <ATen/ops/_grid_sampler_2d_cpu_fallback_backward_compositeimplicitautograd_dispatch.h> |
| 112 | #include <ATen/ops/_grid_sampler_2d_cpu_fallback_backward_native.h> |
| 113 | #include <ATen/ops/_has_compatible_shallow_copy_type_compositeimplicitautograd_dispatch.h> |
| 114 | #include <ATen/ops/_has_compatible_shallow_copy_type_native.h> |
| 115 | #include <ATen/ops/_is_zerotensor_compositeimplicitautograd_dispatch.h> |
| 116 | #include <ATen/ops/_is_zerotensor_native.h> |
| 117 | #include <ATen/ops/_lu_with_info_compositeimplicitautograd_dispatch.h> |
| 118 | #include <ATen/ops/_lu_with_info_native.h> |
| 119 | #include <ATen/ops/_nnpack_available_compositeimplicitautograd_dispatch.h> |
| 120 | #include <ATen/ops/_nnpack_available_native.h> |
| 121 | #include <ATen/ops/_pack_padded_sequence_backward_compositeimplicitautograd_dispatch.h> |
| 122 | #include <ATen/ops/_pack_padded_sequence_backward_native.h> |
| 123 | #include <ATen/ops/_pad_circular_compositeimplicitautograd_dispatch.h> |
| 124 | #include <ATen/ops/_pad_circular_native.h> |
| 125 | #include <ATen/ops/_pad_enum_compositeimplicitautograd_dispatch.h> |
| 126 | #include <ATen/ops/_pad_enum_native.h> |
| 127 | #include <ATen/ops/_pad_packed_sequence_compositeimplicitautograd_dispatch.h> |
| 128 | #include <ATen/ops/_pad_packed_sequence_native.h> |
| 129 | #include <ATen/ops/_remove_batch_dim_compositeimplicitautograd_dispatch.h> |
| 130 | #include <ATen/ops/_remove_batch_dim_native.h> |
| 131 | #include <ATen/ops/_reshape_from_tensor_compositeimplicitautograd_dispatch.h> |
| 132 | #include <ATen/ops/_reshape_from_tensor_native.h> |
| 133 | #include <ATen/ops/_rowwise_prune_compositeimplicitautograd_dispatch.h> |
| 134 | #include <ATen/ops/_rowwise_prune_native.h> |
| 135 | #include <ATen/ops/_saturate_weight_to_fp16_compositeimplicitautograd_dispatch.h> |
| 136 | #include <ATen/ops/_saturate_weight_to_fp16_native.h> |
| 137 | #include <ATen/ops/_scaled_dot_product_attention_compositeimplicitautograd_dispatch.h> |
| 138 | #include <ATen/ops/_scaled_dot_product_attention_math_compositeimplicitautograd_dispatch.h> |
| 139 | #include <ATen/ops/_scaled_dot_product_attention_math_native.h> |
| 140 | #include <ATen/ops/_scaled_dot_product_attention_native.h> |
| 141 | #include <ATen/ops/_shape_as_tensor_compositeimplicitautograd_dispatch.h> |
| 142 | #include <ATen/ops/_shape_as_tensor_native.h> |
| 143 | #include <ATen/ops/_sobol_engine_draw_compositeimplicitautograd_dispatch.h> |
| 144 | #include <ATen/ops/_sobol_engine_draw_native.h> |
| 145 | #include <ATen/ops/_sobol_engine_ff_compositeimplicitautograd_dispatch.h> |
| 146 | #include <ATen/ops/_sobol_engine_ff_native.h> |
| 147 | #include <ATen/ops/_sobol_engine_initialize_state_compositeimplicitautograd_dispatch.h> |
| 148 | #include <ATen/ops/_sobol_engine_initialize_state_native.h> |
| 149 | #include <ATen/ops/_sobol_engine_scramble_compositeimplicitautograd_dispatch.h> |
| 150 | #include <ATen/ops/_sobol_engine_scramble_native.h> |
| 151 | #include <ATen/ops/_sparse_bsc_tensor_unsafe_compositeimplicitautograd_dispatch.h> |
| 152 | #include <ATen/ops/_sparse_bsc_tensor_unsafe_native.h> |
| 153 | #include <ATen/ops/_sparse_bsr_tensor_unsafe_compositeimplicitautograd_dispatch.h> |
| 154 | #include <ATen/ops/_sparse_bsr_tensor_unsafe_native.h> |
| 155 | #include <ATen/ops/_sparse_compressed_tensor_unsafe_compositeimplicitautograd_dispatch.h> |
| 156 | #include <ATen/ops/_sparse_compressed_tensor_unsafe_native.h> |
| 157 | #include <ATen/ops/_sparse_coo_tensor_unsafe_compositeimplicitautograd_dispatch.h> |
| 158 | #include <ATen/ops/_sparse_coo_tensor_unsafe_native.h> |
| 159 | #include <ATen/ops/_sparse_csc_tensor_unsafe_compositeimplicitautograd_dispatch.h> |
| 160 | #include <ATen/ops/_sparse_csc_tensor_unsafe_native.h> |
| 161 | #include <ATen/ops/_sparse_csr_tensor_unsafe_compositeimplicitautograd_dispatch.h> |
| 162 | #include <ATen/ops/_sparse_csr_tensor_unsafe_native.h> |
| 163 | #include <ATen/ops/_sparse_log_softmax_compositeimplicitautograd_dispatch.h> |
| 164 | #include <ATen/ops/_sparse_log_softmax_native.h> |
| 165 | #include <ATen/ops/_sparse_mm_compositeimplicitautograd_dispatch.h> |
| 166 | #include <ATen/ops/_sparse_mm_native.h> |
| 167 | #include <ATen/ops/_sparse_softmax_compositeimplicitautograd_dispatch.h> |
| 168 | #include <ATen/ops/_sparse_softmax_native.h> |
| 169 | #include <ATen/ops/_sparse_sum_compositeimplicitautograd_dispatch.h> |
| 170 | #include <ATen/ops/_sparse_sum_native.h> |
| 171 | #include <ATen/ops/_test_ambiguous_defaults_compositeimplicitautograd_dispatch.h> |
| 172 | #include <ATen/ops/_test_ambiguous_defaults_native.h> |
| 173 | #include <ATen/ops/_test_autograd_multiple_dispatch_compositeimplicitautograd_dispatch.h> |
| 174 | #include <ATen/ops/_test_autograd_multiple_dispatch_native.h> |
| 175 | #include <ATen/ops/_test_check_tensor_compositeimplicitautograd_dispatch.h> |
| 176 | #include <ATen/ops/_test_check_tensor_native.h> |
| 177 | #include <ATen/ops/_test_serialization_subcmul_compositeimplicitautograd_dispatch.h> |
| 178 | #include <ATen/ops/_test_serialization_subcmul_native.h> |
| 179 | #include <ATen/ops/_test_string_default_compositeimplicitautograd_dispatch.h> |
| 180 | #include <ATen/ops/_test_string_default_native.h> |
| 181 | #include <ATen/ops/_thnn_differentiable_gru_cell_backward_compositeimplicitautograd_dispatch.h> |
| 182 | #include <ATen/ops/_thnn_differentiable_gru_cell_backward_native.h> |
| 183 | #include <ATen/ops/_thnn_differentiable_lstm_cell_backward_compositeimplicitautograd_dispatch.h> |
| 184 | #include <ATen/ops/_thnn_differentiable_lstm_cell_backward_native.h> |
| 185 | #include <ATen/ops/_thnn_fused_lstm_cell_backward_compositeimplicitautograd_dispatch.h> |
| 186 | #include <ATen/ops/_thnn_fused_lstm_cell_backward_native.h> |
| 187 | #include <ATen/ops/_to_cpu_compositeimplicitautograd_dispatch.h> |
| 188 | #include <ATen/ops/_to_cpu_native.h> |
| 189 | #include <ATen/ops/_unpack_dual_compositeimplicitautograd_dispatch.h> |
| 190 | #include <ATen/ops/_unpack_dual_native.h> |
| 191 | #include <ATen/ops/_upsample_bicubic2d_aa_compositeimplicitautograd_dispatch.h> |
| 192 | #include <ATen/ops/_upsample_bicubic2d_aa_native.h> |
| 193 | #include <ATen/ops/_upsample_bilinear2d_aa_compositeimplicitautograd_dispatch.h> |
| 194 | #include <ATen/ops/_upsample_bilinear2d_aa_native.h> |
| 195 | #include <ATen/ops/_upsample_nearest_exact1d_compositeimplicitautograd_dispatch.h> |
| 196 | #include <ATen/ops/_upsample_nearest_exact1d_native.h> |
| 197 | #include <ATen/ops/_upsample_nearest_exact2d_compositeimplicitautograd_dispatch.h> |
| 198 | #include <ATen/ops/_upsample_nearest_exact2d_native.h> |
| 199 | #include <ATen/ops/_upsample_nearest_exact3d_compositeimplicitautograd_dispatch.h> |
| 200 | #include <ATen/ops/_upsample_nearest_exact3d_native.h> |
| 201 | #include <ATen/ops/_use_cudnn_rnn_flatten_weight_compositeimplicitautograd_dispatch.h> |
| 202 | #include <ATen/ops/_use_cudnn_rnn_flatten_weight_native.h> |
| 203 | #include <ATen/ops/_validate_sparse_bsc_tensor_args_compositeimplicitautograd_dispatch.h> |
| 204 | #include <ATen/ops/_validate_sparse_bsc_tensor_args_native.h> |
| 205 | #include <ATen/ops/_validate_sparse_bsr_tensor_args_compositeimplicitautograd_dispatch.h> |
| 206 | #include <ATen/ops/_validate_sparse_bsr_tensor_args_native.h> |
| 207 | #include <ATen/ops/_validate_sparse_compressed_tensor_args_compositeimplicitautograd_dispatch.h> |
| 208 | #include <ATen/ops/_validate_sparse_compressed_tensor_args_native.h> |
| 209 | #include <ATen/ops/_validate_sparse_coo_tensor_args_compositeimplicitautograd_dispatch.h> |
| 210 | #include <ATen/ops/_validate_sparse_coo_tensor_args_native.h> |
| 211 | #include <ATen/ops/_validate_sparse_csc_tensor_args_compositeimplicitautograd_dispatch.h> |
| 212 | #include <ATen/ops/_validate_sparse_csc_tensor_args_native.h> |
| 213 | #include <ATen/ops/_validate_sparse_csr_tensor_args_compositeimplicitautograd_dispatch.h> |
| 214 | #include <ATen/ops/_validate_sparse_csr_tensor_args_native.h> |
| 215 | #include <ATen/ops/_version_compositeimplicitautograd_dispatch.h> |
| 216 | #include <ATen/ops/_version_native.h> |
| 217 | #include <ATen/ops/_weight_norm_compositeimplicitautograd_dispatch.h> |
| 218 | #include <ATen/ops/_weight_norm_differentiable_backward_compositeimplicitautograd_dispatch.h> |
| 219 | #include <ATen/ops/_weight_norm_differentiable_backward_native.h> |
| 220 | #include <ATen/ops/_weight_norm_native.h> |
| 221 | #include <ATen/ops/absolute_compositeimplicitautograd_dispatch.h> |
| 222 | #include <ATen/ops/absolute_native.h> |
| 223 | #include <ATen/ops/adaptive_avg_pool1d_compositeimplicitautograd_dispatch.h> |
| 224 | #include <ATen/ops/adaptive_avg_pool1d_native.h> |
| 225 | #include <ATen/ops/adaptive_avg_pool2d_compositeimplicitautograd_dispatch.h> |
| 226 | #include <ATen/ops/adaptive_avg_pool2d_native.h> |
| 227 | #include <ATen/ops/adaptive_avg_pool3d_compositeimplicitautograd_dispatch.h> |
| 228 | #include <ATen/ops/adaptive_avg_pool3d_native.h> |
| 229 | #include <ATen/ops/adaptive_max_pool1d_compositeimplicitautograd_dispatch.h> |
| 230 | #include <ATen/ops/adaptive_max_pool1d_native.h> |
| 231 | #include <ATen/ops/adjoint_compositeimplicitautograd_dispatch.h> |
| 232 | #include <ATen/ops/adjoint_native.h> |
| 233 | #include <ATen/ops/affine_grid_generator_backward_compositeimplicitautograd_dispatch.h> |
| 234 | #include <ATen/ops/affine_grid_generator_backward_native.h> |
| 235 | #include <ATen/ops/align_as_compositeimplicitautograd_dispatch.h> |
| 236 | #include <ATen/ops/align_as_native.h> |
| 237 | #include <ATen/ops/align_tensors_compositeimplicitautograd_dispatch.h> |
| 238 | #include <ATen/ops/align_tensors_native.h> |
| 239 | #include <ATen/ops/align_to_compositeimplicitautograd_dispatch.h> |
| 240 | #include <ATen/ops/align_to_native.h> |
| 241 | #include <ATen/ops/all_compositeimplicitautograd_dispatch.h> |
| 242 | #include <ATen/ops/all_native.h> |
| 243 | #include <ATen/ops/alpha_dropout_compositeimplicitautograd_dispatch.h> |
| 244 | #include <ATen/ops/alpha_dropout_native.h> |
| 245 | #include <ATen/ops/and_compositeimplicitautograd_dispatch.h> |
| 246 | #include <ATen/ops/and_native.h> |
| 247 | #include <ATen/ops/any_compositeimplicitautograd_dispatch.h> |
| 248 | #include <ATen/ops/any_native.h> |
| 249 | #include <ATen/ops/arccos_compositeimplicitautograd_dispatch.h> |
| 250 | #include <ATen/ops/arccos_native.h> |
| 251 | #include <ATen/ops/arccosh_compositeimplicitautograd_dispatch.h> |
| 252 | #include <ATen/ops/arccosh_native.h> |
| 253 | #include <ATen/ops/arcsin_compositeimplicitautograd_dispatch.h> |
| 254 | #include <ATen/ops/arcsin_native.h> |
| 255 | #include <ATen/ops/arcsinh_compositeimplicitautograd_dispatch.h> |
| 256 | #include <ATen/ops/arcsinh_native.h> |
| 257 | #include <ATen/ops/arctan2_compositeimplicitautograd_dispatch.h> |
| 258 | #include <ATen/ops/arctan2_native.h> |
| 259 | #include <ATen/ops/arctan_compositeimplicitautograd_dispatch.h> |
| 260 | #include <ATen/ops/arctan_native.h> |
| 261 | #include <ATen/ops/arctanh_compositeimplicitautograd_dispatch.h> |
| 262 | #include <ATen/ops/arctanh_native.h> |
| 263 | #include <ATen/ops/argsort_compositeimplicitautograd_dispatch.h> |
| 264 | #include <ATen/ops/argsort_native.h> |
| 265 | #include <ATen/ops/argwhere_compositeimplicitautograd_dispatch.h> |
| 266 | #include <ATen/ops/argwhere_native.h> |
| 267 | #include <ATen/ops/atleast_1d_compositeimplicitautograd_dispatch.h> |
| 268 | #include <ATen/ops/atleast_1d_native.h> |
| 269 | #include <ATen/ops/atleast_2d_compositeimplicitautograd_dispatch.h> |
| 270 | #include <ATen/ops/atleast_2d_native.h> |
| 271 | #include <ATen/ops/atleast_3d_compositeimplicitautograd_dispatch.h> |
| 272 | #include <ATen/ops/atleast_3d_native.h> |
| 273 | #include <ATen/ops/avg_pool1d_compositeimplicitautograd_dispatch.h> |
| 274 | #include <ATen/ops/avg_pool1d_native.h> |
| 275 | #include <ATen/ops/batch_norm_compositeimplicitautograd_dispatch.h> |
| 276 | #include <ATen/ops/batch_norm_native.h> |
| 277 | #include <ATen/ops/bilinear_compositeimplicitautograd_dispatch.h> |
| 278 | #include <ATen/ops/bilinear_native.h> |
| 279 | #include <ATen/ops/bitwise_and_compositeimplicitautograd_dispatch.h> |
| 280 | #include <ATen/ops/bitwise_and_native.h> |
| 281 | #include <ATen/ops/bitwise_or_compositeimplicitautograd_dispatch.h> |
| 282 | #include <ATen/ops/bitwise_or_native.h> |
| 283 | #include <ATen/ops/bitwise_xor_compositeimplicitautograd_dispatch.h> |
| 284 | #include <ATen/ops/bitwise_xor_native.h> |
| 285 | #include <ATen/ops/broadcast_tensors_compositeimplicitautograd_dispatch.h> |
| 286 | #include <ATen/ops/broadcast_tensors_native.h> |
| 287 | #include <ATen/ops/broadcast_to_compositeimplicitautograd_dispatch.h> |
| 288 | #include <ATen/ops/broadcast_to_native.h> |
| 289 | #include <ATen/ops/can_cast_compositeimplicitautograd_dispatch.h> |
| 290 | #include <ATen/ops/can_cast_native.h> |
| 291 | #include <ATen/ops/cartesian_prod_compositeimplicitautograd_dispatch.h> |
| 292 | #include <ATen/ops/cartesian_prod_native.h> |
| 293 | #include <ATen/ops/cat_compositeimplicitautograd_dispatch.h> |
| 294 | #include <ATen/ops/cat_native.h> |
| 295 | #include <ATen/ops/cdist_compositeimplicitautograd_dispatch.h> |
| 296 | #include <ATen/ops/cdist_native.h> |
| 297 | #include <ATen/ops/chain_matmul_compositeimplicitautograd_dispatch.h> |
| 298 | #include <ATen/ops/chain_matmul_native.h> |
| 299 | #include <ATen/ops/chalf_compositeimplicitautograd_dispatch.h> |
| 300 | #include <ATen/ops/chalf_native.h> |
| 301 | #include <ATen/ops/choose_qparams_optimized_compositeimplicitautograd_dispatch.h> |
| 302 | #include <ATen/ops/choose_qparams_optimized_native.h> |
| 303 | #include <ATen/ops/chunk_compositeimplicitautograd_dispatch.h> |
| 304 | #include <ATen/ops/chunk_native.h> |
| 305 | #include <ATen/ops/clip_compositeimplicitautograd_dispatch.h> |
| 306 | #include <ATen/ops/clip_native.h> |
| 307 | #include <ATen/ops/coalesce_compositeimplicitautograd_dispatch.h> |
| 308 | #include <ATen/ops/coalesce_native.h> |
| 309 | #include <ATen/ops/column_stack_compositeimplicitautograd_dispatch.h> |
| 310 | #include <ATen/ops/column_stack_native.h> |
| 311 | #include <ATen/ops/combinations_compositeimplicitautograd_dispatch.h> |
| 312 | #include <ATen/ops/combinations_native.h> |
| 313 | #include <ATen/ops/concat_compositeimplicitautograd_dispatch.h> |
| 314 | #include <ATen/ops/concat_native.h> |
| 315 | #include <ATen/ops/concatenate_compositeimplicitautograd_dispatch.h> |
| 316 | #include <ATen/ops/concatenate_native.h> |
| 317 | #include <ATen/ops/conj_compositeimplicitautograd_dispatch.h> |
| 318 | #include <ATen/ops/conj_native.h> |
| 319 | #include <ATen/ops/conj_physical_compositeimplicitautograd_dispatch.h> |
| 320 | #include <ATen/ops/conj_physical_native.h> |
| 321 | #include <ATen/ops/contiguous_compositeimplicitautograd_dispatch.h> |
| 322 | #include <ATen/ops/contiguous_native.h> |
| 323 | #include <ATen/ops/conv1d_compositeimplicitautograd_dispatch.h> |
| 324 | #include <ATen/ops/conv1d_native.h> |
| 325 | #include <ATen/ops/conv2d_compositeimplicitautograd_dispatch.h> |
| 326 | #include <ATen/ops/conv2d_native.h> |
| 327 | #include <ATen/ops/conv3d_compositeimplicitautograd_dispatch.h> |
| 328 | #include <ATen/ops/conv3d_native.h> |
| 329 | #include <ATen/ops/conv_tbc_backward_compositeimplicitautograd_dispatch.h> |
| 330 | #include <ATen/ops/conv_tbc_backward_native.h> |
| 331 | #include <ATen/ops/conv_transpose1d_compositeimplicitautograd_dispatch.h> |
| 332 | #include <ATen/ops/conv_transpose1d_native.h> |
| 333 | #include <ATen/ops/conv_transpose2d_compositeimplicitautograd_dispatch.h> |
| 334 | #include <ATen/ops/conv_transpose2d_native.h> |
| 335 | #include <ATen/ops/conv_transpose3d_compositeimplicitautograd_dispatch.h> |
| 336 | #include <ATen/ops/conv_transpose3d_native.h> |
| 337 | #include <ATen/ops/corrcoef_compositeimplicitautograd_dispatch.h> |
| 338 | #include <ATen/ops/corrcoef_native.h> |
| 339 | #include <ATen/ops/cosine_embedding_loss_compositeimplicitautograd_dispatch.h> |
| 340 | #include <ATen/ops/cosine_embedding_loss_native.h> |
| 341 | #include <ATen/ops/cosine_similarity_compositeimplicitautograd_dispatch.h> |
| 342 | #include <ATen/ops/cosine_similarity_native.h> |
| 343 | #include <ATen/ops/cov_compositeimplicitautograd_dispatch.h> |
| 344 | #include <ATen/ops/cov_native.h> |
| 345 | #include <ATen/ops/cross_compositeimplicitautograd_dispatch.h> |
| 346 | #include <ATen/ops/cross_entropy_loss_compositeimplicitautograd_dispatch.h> |
| 347 | #include <ATen/ops/cross_entropy_loss_native.h> |
| 348 | #include <ATen/ops/cross_native.h> |
| 349 | #include <ATen/ops/ctc_loss_compositeimplicitautograd_dispatch.h> |
| 350 | #include <ATen/ops/ctc_loss_native.h> |
| 351 | #include <ATen/ops/cudnn_is_acceptable_compositeimplicitautograd_dispatch.h> |
| 352 | #include <ATen/ops/cudnn_is_acceptable_native.h> |
| 353 | #include <ATen/ops/cummax_compositeimplicitautograd_dispatch.h> |
| 354 | #include <ATen/ops/cummax_native.h> |
| 355 | #include <ATen/ops/cummaxmin_backward_compositeimplicitautograd_dispatch.h> |
| 356 | #include <ATen/ops/cummaxmin_backward_native.h> |
| 357 | #include <ATen/ops/cummin_compositeimplicitautograd_dispatch.h> |
| 358 | #include <ATen/ops/cummin_native.h> |
| 359 | #include <ATen/ops/cumprod_backward_compositeimplicitautograd_dispatch.h> |
| 360 | #include <ATen/ops/cumprod_backward_native.h> |
| 361 | #include <ATen/ops/cumprod_compositeimplicitautograd_dispatch.h> |
| 362 | #include <ATen/ops/cumprod_native.h> |
| 363 | #include <ATen/ops/cumsum_compositeimplicitautograd_dispatch.h> |
| 364 | #include <ATen/ops/cumsum_native.h> |
| 365 | #include <ATen/ops/cumulative_trapezoid_compositeimplicitautograd_dispatch.h> |
| 366 | #include <ATen/ops/cumulative_trapezoid_native.h> |
| 367 | #include <ATen/ops/data_compositeimplicitautograd_dispatch.h> |
| 368 | #include <ATen/ops/data_native.h> |
| 369 | #include <ATen/ops/det_compositeimplicitautograd_dispatch.h> |
| 370 | #include <ATen/ops/det_native.h> |
| 371 | #include <ATen/ops/diag_compositeimplicitautograd_dispatch.h> |
| 372 | #include <ATen/ops/diag_native.h> |
| 373 | #include <ATen/ops/diagflat_compositeimplicitautograd_dispatch.h> |
| 374 | #include <ATen/ops/diagflat_native.h> |
| 375 | #include <ATen/ops/diagonal_compositeimplicitautograd_dispatch.h> |
| 376 | #include <ATen/ops/diagonal_native.h> |
| 377 | #include <ATen/ops/diff_compositeimplicitautograd_dispatch.h> |
| 378 | #include <ATen/ops/diff_native.h> |
| 379 | #include <ATen/ops/divide_compositeimplicitautograd_dispatch.h> |
| 380 | #include <ATen/ops/divide_native.h> |
| 381 | #include <ATen/ops/dropout_compositeimplicitautograd_dispatch.h> |
| 382 | #include <ATen/ops/dropout_native.h> |
| 383 | #include <ATen/ops/dsplit_compositeimplicitautograd_dispatch.h> |
| 384 | #include <ATen/ops/dsplit_native.h> |
| 385 | #include <ATen/ops/dstack_compositeimplicitautograd_dispatch.h> |
| 386 | #include <ATen/ops/dstack_native.h> |
| 387 | #include <ATen/ops/einsum_compositeimplicitautograd_dispatch.h> |
| 388 | #include <ATen/ops/einsum_native.h> |
| 389 | #include <ATen/ops/embedding_backward_compositeimplicitautograd_dispatch.h> |
| 390 | #include <ATen/ops/embedding_backward_native.h> |
| 391 | #include <ATen/ops/embedding_bag_compositeimplicitautograd_dispatch.h> |
| 392 | #include <ATen/ops/embedding_bag_native.h> |
| 393 | #include <ATen/ops/embedding_sparse_backward_compositeimplicitautograd_dispatch.h> |
| 394 | #include <ATen/ops/embedding_sparse_backward_native.h> |
| 395 | #include <ATen/ops/empty_compositeimplicitautograd_dispatch.h> |
| 396 | #include <ATen/ops/empty_native.h> |
| 397 | #include <ATen/ops/expand_as_compositeimplicitautograd_dispatch.h> |
| 398 | #include <ATen/ops/expand_as_native.h> |
| 399 | #include <ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_compositeimplicitautograd_dispatch.h> |
| 400 | #include <ATen/ops/fake_quantize_per_channel_affine_cachemask_backward_native.h> |
| 401 | #include <ATen/ops/fake_quantize_per_channel_affine_compositeimplicitautograd_dispatch.h> |
| 402 | #include <ATen/ops/fake_quantize_per_channel_affine_native.h> |
| 403 | #include <ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_compositeimplicitautograd_dispatch.h> |
| 404 | #include <ATen/ops/fake_quantize_per_tensor_affine_cachemask_backward_native.h> |
| 405 | #include <ATen/ops/fake_quantize_per_tensor_affine_compositeimplicitautograd_dispatch.h> |
| 406 | #include <ATen/ops/fake_quantize_per_tensor_affine_native.h> |
| 407 | #include <ATen/ops/fbgemm_linear_fp16_weight_compositeimplicitautograd_dispatch.h> |
| 408 | #include <ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_compositeimplicitautograd_dispatch.h> |
| 409 | #include <ATen/ops/fbgemm_linear_fp16_weight_fp32_activation_native.h> |
| 410 | #include <ATen/ops/fbgemm_linear_fp16_weight_native.h> |
| 411 | #include <ATen/ops/fbgemm_linear_int8_weight_compositeimplicitautograd_dispatch.h> |
| 412 | #include <ATen/ops/fbgemm_linear_int8_weight_fp32_activation_compositeimplicitautograd_dispatch.h> |
| 413 | #include <ATen/ops/fbgemm_linear_int8_weight_fp32_activation_native.h> |
| 414 | #include <ATen/ops/fbgemm_linear_int8_weight_native.h> |
| 415 | #include <ATen/ops/fbgemm_linear_quantize_weight_compositeimplicitautograd_dispatch.h> |
| 416 | #include <ATen/ops/fbgemm_linear_quantize_weight_native.h> |
| 417 | #include <ATen/ops/fbgemm_pack_gemm_matrix_fp16_compositeimplicitautograd_dispatch.h> |
| 418 | #include <ATen/ops/fbgemm_pack_gemm_matrix_fp16_native.h> |
| 419 | #include <ATen/ops/fbgemm_pack_quantized_matrix_compositeimplicitautograd_dispatch.h> |
| 420 | #include <ATen/ops/fbgemm_pack_quantized_matrix_native.h> |
| 421 | #include <ATen/ops/feature_alpha_dropout_compositeimplicitautograd_dispatch.h> |
| 422 | #include <ATen/ops/feature_alpha_dropout_native.h> |
| 423 | #include <ATen/ops/feature_dropout_compositeimplicitautograd_dispatch.h> |
| 424 | #include <ATen/ops/feature_dropout_native.h> |
| 425 | #include <ATen/ops/fft_fft2_compositeimplicitautograd_dispatch.h> |
| 426 | #include <ATen/ops/fft_fft2_native.h> |
| 427 | #include <ATen/ops/fft_fft_compositeimplicitautograd_dispatch.h> |
| 428 | #include <ATen/ops/fft_fft_native.h> |
| 429 | #include <ATen/ops/fft_fftn_compositeimplicitautograd_dispatch.h> |
| 430 | #include <ATen/ops/fft_fftn_native.h> |
| 431 | #include <ATen/ops/fft_fftshift_compositeimplicitautograd_dispatch.h> |
| 432 | #include <ATen/ops/fft_fftshift_native.h> |
| 433 | #include <ATen/ops/fft_hfft2_compositeimplicitautograd_dispatch.h> |
| 434 | #include <ATen/ops/fft_hfft2_native.h> |
| 435 | #include <ATen/ops/fft_hfft_compositeimplicitautograd_dispatch.h> |
| 436 | #include <ATen/ops/fft_hfft_native.h> |
| 437 | #include <ATen/ops/fft_hfftn_compositeimplicitautograd_dispatch.h> |
| 438 | #include <ATen/ops/fft_hfftn_native.h> |
| 439 | #include <ATen/ops/fft_ifft2_compositeimplicitautograd_dispatch.h> |
| 440 | #include <ATen/ops/fft_ifft2_native.h> |
| 441 | #include <ATen/ops/fft_ifft_compositeimplicitautograd_dispatch.h> |
| 442 | #include <ATen/ops/fft_ifft_native.h> |
| 443 | #include <ATen/ops/fft_ifftn_compositeimplicitautograd_dispatch.h> |
| 444 | #include <ATen/ops/fft_ifftn_native.h> |
| 445 | #include <ATen/ops/fft_ifftshift_compositeimplicitautograd_dispatch.h> |
| 446 | #include <ATen/ops/fft_ifftshift_native.h> |
| 447 | #include <ATen/ops/fft_ihfft2_compositeimplicitautograd_dispatch.h> |
| 448 | #include <ATen/ops/fft_ihfft2_native.h> |
| 449 | #include <ATen/ops/fft_ihfft_compositeimplicitautograd_dispatch.h> |
| 450 | #include <ATen/ops/fft_ihfft_native.h> |
| 451 | #include <ATen/ops/fft_ihfftn_compositeimplicitautograd_dispatch.h> |
| 452 | #include <ATen/ops/fft_ihfftn_native.h> |
| 453 | #include <ATen/ops/fft_irfft2_compositeimplicitautograd_dispatch.h> |
| 454 | #include <ATen/ops/fft_irfft2_native.h> |
| 455 | #include <ATen/ops/fft_irfft_compositeimplicitautograd_dispatch.h> |
| 456 | #include <ATen/ops/fft_irfft_native.h> |
| 457 | #include <ATen/ops/fft_irfftn_compositeimplicitautograd_dispatch.h> |
| 458 | #include <ATen/ops/fft_irfftn_native.h> |
| 459 | #include <ATen/ops/fft_rfft2_compositeimplicitautograd_dispatch.h> |
| 460 | #include <ATen/ops/fft_rfft2_native.h> |
| 461 | #include <ATen/ops/fft_rfft_compositeimplicitautograd_dispatch.h> |
| 462 | #include <ATen/ops/fft_rfft_native.h> |
| 463 | #include <ATen/ops/fft_rfftn_compositeimplicitautograd_dispatch.h> |
| 464 | #include <ATen/ops/fft_rfftn_native.h> |
| 465 | #include <ATen/ops/fill_diagonal_compositeimplicitautograd_dispatch.h> |
| 466 | #include <ATen/ops/fill_diagonal_native.h> |
| 467 | #include <ATen/ops/fix_compositeimplicitautograd_dispatch.h> |
| 468 | #include <ATen/ops/fix_native.h> |
| 469 | #include <ATen/ops/flatten_compositeimplicitautograd_dispatch.h> |
| 470 | #include <ATen/ops/flatten_dense_tensors_compositeimplicitautograd_dispatch.h> |
| 471 | #include <ATen/ops/flatten_dense_tensors_native.h> |
| 472 | #include <ATen/ops/flatten_native.h> |
| 473 | #include <ATen/ops/fliplr_compositeimplicitautograd_dispatch.h> |
| 474 | #include <ATen/ops/fliplr_native.h> |
| 475 | #include <ATen/ops/flipud_compositeimplicitautograd_dispatch.h> |
| 476 | #include <ATen/ops/flipud_native.h> |
| 477 | #include <ATen/ops/float_power_compositeimplicitautograd_dispatch.h> |
| 478 | #include <ATen/ops/float_power_native.h> |
| 479 | #include <ATen/ops/floor_divide_compositeimplicitautograd_dispatch.h> |
| 480 | #include <ATen/ops/floor_divide_native.h> |
| 481 | #include <ATen/ops/frobenius_norm_compositeimplicitautograd_dispatch.h> |
| 482 | #include <ATen/ops/frobenius_norm_native.h> |
| 483 | #include <ATen/ops/fused_moving_avg_obs_fake_quant_compositeimplicitautograd_dispatch.h> |
| 484 | #include <ATen/ops/fused_moving_avg_obs_fake_quant_native.h> |
| 485 | #include <ATen/ops/gather_backward_compositeimplicitautograd_dispatch.h> |
| 486 | #include <ATen/ops/gather_backward_native.h> |
| 487 | #include <ATen/ops/gather_compositeimplicitautograd_dispatch.h> |
| 488 | #include <ATen/ops/gather_native.h> |
| 489 | #include <ATen/ops/ger_compositeimplicitautograd_dispatch.h> |
| 490 | #include <ATen/ops/ger_native.h> |
| 491 | #include <ATen/ops/gradient_compositeimplicitautograd_dispatch.h> |
| 492 | #include <ATen/ops/gradient_native.h> |
| 493 | #include <ATen/ops/greater_compositeimplicitautograd_dispatch.h> |
| 494 | #include <ATen/ops/greater_equal_compositeimplicitautograd_dispatch.h> |
| 495 | #include <ATen/ops/greater_equal_native.h> |
| 496 | #include <ATen/ops/greater_native.h> |
| 497 | #include <ATen/ops/grid_sampler_compositeimplicitautograd_dispatch.h> |
| 498 | #include <ATen/ops/grid_sampler_native.h> |
| 499 | #include <ATen/ops/group_norm_compositeimplicitautograd_dispatch.h> |
| 500 | #include <ATen/ops/group_norm_native.h> |
| 501 | #include <ATen/ops/gru_cell_compositeimplicitautograd_dispatch.h> |
| 502 | #include <ATen/ops/gru_cell_native.h> |
| 503 | #include <ATen/ops/gru_compositeimplicitautograd_dispatch.h> |
| 504 | #include <ATen/ops/gru_native.h> |
| 505 | #include <ATen/ops/hinge_embedding_loss_compositeimplicitautograd_dispatch.h> |
| 506 | #include <ATen/ops/hinge_embedding_loss_native.h> |
| 507 | #include <ATen/ops/histogramdd_compositeimplicitautograd_dispatch.h> |
| 508 | #include <ATen/ops/histogramdd_native.h> |
| 509 | #include <ATen/ops/hsplit_compositeimplicitautograd_dispatch.h> |
| 510 | #include <ATen/ops/hsplit_native.h> |
| 511 | #include <ATen/ops/hstack_compositeimplicitautograd_dispatch.h> |
| 512 | #include <ATen/ops/hstack_native.h> |
| 513 | #include <ATen/ops/imag_compositeimplicitautograd_dispatch.h> |
| 514 | #include <ATen/ops/imag_native.h> |
| 515 | #include <ATen/ops/index_add_compositeimplicitautograd_dispatch.h> |
| 516 | #include <ATen/ops/index_add_native.h> |
| 517 | #include <ATen/ops/index_copy_compositeimplicitautograd_dispatch.h> |
| 518 | #include <ATen/ops/index_copy_native.h> |
| 519 | #include <ATen/ops/index_fill_compositeimplicitautograd_dispatch.h> |
| 520 | #include <ATen/ops/index_fill_native.h> |
| 521 | #include <ATen/ops/index_select_backward_compositeimplicitautograd_dispatch.h> |
| 522 | #include <ATen/ops/index_select_backward_native.h> |
| 523 | #include <ATen/ops/index_select_compositeimplicitautograd_dispatch.h> |
| 524 | #include <ATen/ops/index_select_native.h> |
| 525 | #include <ATen/ops/infinitely_differentiable_gelu_backward_compositeimplicitautograd_dispatch.h> |
| 526 | #include <ATen/ops/infinitely_differentiable_gelu_backward_native.h> |
| 527 | #include <ATen/ops/inner_compositeimplicitautograd_dispatch.h> |
| 528 | #include <ATen/ops/inner_native.h> |
| 529 | #include <ATen/ops/instance_norm_compositeimplicitautograd_dispatch.h> |
| 530 | #include <ATen/ops/instance_norm_native.h> |
| 531 | #include <ATen/ops/inverse_compositeimplicitautograd_dispatch.h> |
| 532 | #include <ATen/ops/inverse_native.h> |
| 533 | #include <ATen/ops/is_complex_compositeimplicitautograd_dispatch.h> |
| 534 | #include <ATen/ops/is_complex_native.h> |
| 535 | #include <ATen/ops/is_conj_compositeimplicitautograd_dispatch.h> |
| 536 | #include <ATen/ops/is_conj_native.h> |
| 537 | #include <ATen/ops/is_distributed_compositeimplicitautograd_dispatch.h> |
| 538 | #include <ATen/ops/is_distributed_native.h> |
| 539 | #include <ATen/ops/is_floating_point_compositeimplicitautograd_dispatch.h> |
| 540 | #include <ATen/ops/is_floating_point_native.h> |
| 541 | #include <ATen/ops/is_inference_compositeimplicitautograd_dispatch.h> |
| 542 | #include <ATen/ops/is_inference_native.h> |
| 543 | #include <ATen/ops/is_leaf_compositeimplicitautograd_dispatch.h> |
| 544 | #include <ATen/ops/is_leaf_native.h> |
| 545 | #include <ATen/ops/is_neg_compositeimplicitautograd_dispatch.h> |
| 546 | #include <ATen/ops/is_neg_native.h> |
| 547 | #include <ATen/ops/is_nonzero_compositeimplicitautograd_dispatch.h> |
| 548 | #include <ATen/ops/is_nonzero_native.h> |
| 549 | #include <ATen/ops/is_signed_compositeimplicitautograd_dispatch.h> |
| 550 | #include <ATen/ops/is_signed_native.h> |
| 551 | #include <ATen/ops/is_vulkan_available_compositeimplicitautograd_dispatch.h> |
| 552 | #include <ATen/ops/is_vulkan_available_native.h> |
| 553 | #include <ATen/ops/isclose_compositeimplicitautograd_dispatch.h> |
| 554 | #include <ATen/ops/isclose_native.h> |
| 555 | #include <ATen/ops/isfinite_compositeimplicitautograd_dispatch.h> |
| 556 | #include <ATen/ops/isfinite_native.h> |
| 557 | #include <ATen/ops/isreal_compositeimplicitautograd_dispatch.h> |
| 558 | #include <ATen/ops/isreal_native.h> |
| 559 | #include <ATen/ops/istft_compositeimplicitautograd_dispatch.h> |
| 560 | #include <ATen/ops/istft_native.h> |
| 561 | #include <ATen/ops/item_compositeimplicitautograd_dispatch.h> |
| 562 | #include <ATen/ops/item_native.h> |
| 563 | #include <ATen/ops/kl_div_compositeimplicitautograd_dispatch.h> |
| 564 | #include <ATen/ops/kl_div_native.h> |
| 565 | #include <ATen/ops/kron_compositeimplicitautograd_dispatch.h> |
| 566 | #include <ATen/ops/kron_native.h> |
| 567 | #include <ATen/ops/kthvalue_compositeimplicitautograd_dispatch.h> |
| 568 | #include <ATen/ops/kthvalue_native.h> |
| 569 | #include <ATen/ops/l1_loss_compositeimplicitautograd_dispatch.h> |
| 570 | #include <ATen/ops/l1_loss_native.h> |
| 571 | #include <ATen/ops/layer_norm_compositeimplicitautograd_dispatch.h> |
| 572 | #include <ATen/ops/layer_norm_native.h> |
| 573 | #include <ATen/ops/ldexp_compositeimplicitautograd_dispatch.h> |
| 574 | #include <ATen/ops/ldexp_native.h> |
| 575 | #include <ATen/ops/less_compositeimplicitautograd_dispatch.h> |
| 576 | #include <ATen/ops/less_equal_compositeimplicitautograd_dispatch.h> |
| 577 | #include <ATen/ops/less_equal_native.h> |
| 578 | #include <ATen/ops/less_native.h> |
| 579 | #include <ATen/ops/linalg_cholesky_compositeimplicitautograd_dispatch.h> |
| 580 | #include <ATen/ops/linalg_cholesky_native.h> |
| 581 | #include <ATen/ops/linalg_cond_compositeimplicitautograd_dispatch.h> |
| 582 | #include <ATen/ops/linalg_cond_native.h> |
| 583 | #include <ATen/ops/linalg_det_compositeimplicitautograd_dispatch.h> |
| 584 | #include <ATen/ops/linalg_det_native.h> |
| 585 | #include <ATen/ops/linalg_diagonal_compositeimplicitautograd_dispatch.h> |
| 586 | #include <ATen/ops/linalg_diagonal_native.h> |
| 587 | #include <ATen/ops/linalg_eigh_compositeimplicitautograd_dispatch.h> |
| 588 | #include <ATen/ops/linalg_eigh_native.h> |
| 589 | #include <ATen/ops/linalg_eigvals_compositeimplicitautograd_dispatch.h> |
| 590 | #include <ATen/ops/linalg_eigvals_native.h> |
| 591 | #include <ATen/ops/linalg_eigvalsh_compositeimplicitautograd_dispatch.h> |
| 592 | #include <ATen/ops/linalg_eigvalsh_native.h> |
| 593 | #include <ATen/ops/linalg_inv_compositeimplicitautograd_dispatch.h> |
| 594 | #include <ATen/ops/linalg_inv_native.h> |
| 595 | #include <ATen/ops/linalg_ldl_factor_compositeimplicitautograd_dispatch.h> |
| 596 | #include <ATen/ops/linalg_ldl_factor_native.h> |
| 597 | #include <ATen/ops/linalg_lu_factor_compositeimplicitautograd_dispatch.h> |
| 598 | #include <ATen/ops/linalg_lu_factor_native.h> |
| 599 | #include <ATen/ops/linalg_matmul_compositeimplicitautograd_dispatch.h> |
| 600 | #include <ATen/ops/linalg_matmul_native.h> |
| 601 | #include <ATen/ops/linalg_matrix_norm_compositeimplicitautograd_dispatch.h> |
| 602 | #include <ATen/ops/linalg_matrix_norm_native.h> |
| 603 | #include <ATen/ops/linalg_matrix_power_compositeimplicitautograd_dispatch.h> |
| 604 | #include <ATen/ops/linalg_matrix_power_native.h> |
| 605 | #include <ATen/ops/linalg_matrix_rank_compositeimplicitautograd_dispatch.h> |
| 606 | #include <ATen/ops/linalg_matrix_rank_native.h> |
| 607 | #include <ATen/ops/linalg_multi_dot_compositeimplicitautograd_dispatch.h> |
| 608 | #include <ATen/ops/linalg_multi_dot_native.h> |
| 609 | #include <ATen/ops/linalg_norm_compositeimplicitautograd_dispatch.h> |
| 610 | #include <ATen/ops/linalg_norm_native.h> |
| 611 | #include <ATen/ops/linalg_pinv_compositeimplicitautograd_dispatch.h> |
| 612 | #include <ATen/ops/linalg_pinv_native.h> |
| 613 | #include <ATen/ops/linalg_slogdet_compositeimplicitautograd_dispatch.h> |
| 614 | #include <ATen/ops/linalg_slogdet_native.h> |
| 615 | #include <ATen/ops/linalg_solve_compositeimplicitautograd_dispatch.h> |
| 616 | #include <ATen/ops/linalg_solve_ex_compositeimplicitautograd_dispatch.h> |
| 617 | #include <ATen/ops/linalg_solve_ex_native.h> |
| 618 | #include <ATen/ops/linalg_solve_native.h> |
| 619 | #include <ATen/ops/linalg_svd_compositeimplicitautograd_dispatch.h> |
| 620 | #include <ATen/ops/linalg_svd_native.h> |
| 621 | #include <ATen/ops/linalg_svdvals_compositeimplicitautograd_dispatch.h> |
| 622 | #include <ATen/ops/linalg_svdvals_native.h> |
| 623 | #include <ATen/ops/linalg_tensorinv_compositeimplicitautograd_dispatch.h> |
| 624 | #include <ATen/ops/linalg_tensorinv_native.h> |
| 625 | #include <ATen/ops/linalg_tensorsolve_compositeimplicitautograd_dispatch.h> |
| 626 | #include <ATen/ops/linalg_tensorsolve_native.h> |
| 627 | #include <ATen/ops/linalg_vander_compositeimplicitautograd_dispatch.h> |
| 628 | #include <ATen/ops/linalg_vander_native.h> |
| 629 | #include <ATen/ops/linalg_vecdot_compositeimplicitautograd_dispatch.h> |
| 630 | #include <ATen/ops/linalg_vecdot_native.h> |
| 631 | #include <ATen/ops/linear_compositeimplicitautograd_dispatch.h> |
| 632 | #include <ATen/ops/linear_native.h> |
| 633 | #include <ATen/ops/log_sigmoid_compositeimplicitautograd_dispatch.h> |
| 634 | #include <ATen/ops/log_sigmoid_native.h> |
| 635 | #include <ATen/ops/log_softmax_compositeimplicitautograd_dispatch.h> |
| 636 | #include <ATen/ops/log_softmax_native.h> |
| 637 | #include <ATen/ops/logcumsumexp_compositeimplicitautograd_dispatch.h> |
| 638 | #include <ATen/ops/logcumsumexp_native.h> |
| 639 | #include <ATen/ops/logdet_compositeimplicitautograd_dispatch.h> |
| 640 | #include <ATen/ops/logdet_native.h> |
| 641 | #include <ATen/ops/logsumexp_compositeimplicitautograd_dispatch.h> |
| 642 | #include <ATen/ops/logsumexp_native.h> |
| 643 | #include <ATen/ops/lstm_cell_compositeimplicitautograd_dispatch.h> |
| 644 | #include <ATen/ops/lstm_cell_native.h> |
| 645 | #include <ATen/ops/lstm_compositeimplicitautograd_dispatch.h> |
| 646 | #include <ATen/ops/lstm_native.h> |
| 647 | #include <ATen/ops/lu_solve_compositeimplicitautograd_dispatch.h> |
| 648 | #include <ATen/ops/lu_solve_native.h> |
| 649 | #include <ATen/ops/mH_compositeimplicitautograd_dispatch.h> |
| 650 | #include <ATen/ops/mH_native.h> |
| 651 | #include <ATen/ops/mT_compositeimplicitautograd_dispatch.h> |
| 652 | #include <ATen/ops/mT_native.h> |
| 653 | #include <ATen/ops/margin_ranking_loss_compositeimplicitautograd_dispatch.h> |
| 654 | #include <ATen/ops/margin_ranking_loss_native.h> |
| 655 | #include <ATen/ops/masked_select_backward_compositeimplicitautograd_dispatch.h> |
| 656 | #include <ATen/ops/masked_select_backward_native.h> |
| 657 | #include <ATen/ops/matmul_compositeimplicitautograd_dispatch.h> |
| 658 | #include <ATen/ops/matmul_native.h> |
| 659 | #include <ATen/ops/matrix_H_compositeimplicitautograd_dispatch.h> |
| 660 | #include <ATen/ops/matrix_H_native.h> |
| 661 | #include <ATen/ops/matrix_exp_backward_compositeimplicitautograd_dispatch.h> |
| 662 | #include <ATen/ops/matrix_exp_backward_native.h> |
| 663 | #include <ATen/ops/matrix_exp_compositeimplicitautograd_dispatch.h> |
| 664 | #include <ATen/ops/matrix_exp_native.h> |
| 665 | #include <ATen/ops/matrix_power_compositeimplicitautograd_dispatch.h> |
| 666 | #include <ATen/ops/matrix_power_native.h> |
| 667 | #include <ATen/ops/max_compositeimplicitautograd_dispatch.h> |
| 668 | #include <ATen/ops/max_native.h> |
| 669 | #include <ATen/ops/max_pool1d_compositeimplicitautograd_dispatch.h> |
| 670 | #include <ATen/ops/max_pool1d_native.h> |
| 671 | #include <ATen/ops/max_pool1d_with_indices_compositeimplicitautograd_dispatch.h> |
| 672 | #include <ATen/ops/max_pool1d_with_indices_native.h> |
| 673 | #include <ATen/ops/max_pool2d_compositeimplicitautograd_dispatch.h> |
| 674 | #include <ATen/ops/max_pool2d_native.h> |
| 675 | #include <ATen/ops/max_pool3d_compositeimplicitautograd_dispatch.h> |
| 676 | #include <ATen/ops/max_pool3d_native.h> |
| 677 | #include <ATen/ops/mean_compositeimplicitautograd_dispatch.h> |
| 678 | #include <ATen/ops/mean_native.h> |
| 679 | #include <ATen/ops/median_compositeimplicitautograd_dispatch.h> |
| 680 | #include <ATen/ops/median_native.h> |
| 681 | #include <ATen/ops/meshgrid_compositeimplicitautograd_dispatch.h> |
| 682 | #include <ATen/ops/meshgrid_native.h> |
| 683 | #include <ATen/ops/min_compositeimplicitautograd_dispatch.h> |
| 684 | #include <ATen/ops/min_native.h> |
| 685 | #include <ATen/ops/mish_backward_compositeimplicitautograd_dispatch.h> |
| 686 | #include <ATen/ops/mish_backward_native.h> |
| 687 | #include <ATen/ops/mode_compositeimplicitautograd_dispatch.h> |
| 688 | #include <ATen/ops/mode_native.h> |
| 689 | #include <ATen/ops/moveaxis_compositeimplicitautograd_dispatch.h> |
| 690 | #include <ATen/ops/moveaxis_native.h> |
| 691 | #include <ATen/ops/movedim_compositeimplicitautograd_dispatch.h> |
| 692 | #include <ATen/ops/movedim_native.h> |
| 693 | #include <ATen/ops/msort_compositeimplicitautograd_dispatch.h> |
| 694 | #include <ATen/ops/msort_native.h> |
| 695 | #include <ATen/ops/multilabel_margin_loss_compositeimplicitautograd_dispatch.h> |
| 696 | #include <ATen/ops/multilabel_margin_loss_native.h> |
| 697 | #include <ATen/ops/multiply_compositeimplicitautograd_dispatch.h> |
| 698 | #include <ATen/ops/multiply_native.h> |
| 699 | #include <ATen/ops/nanmean_compositeimplicitautograd_dispatch.h> |
| 700 | #include <ATen/ops/nanmean_native.h> |
| 701 | #include <ATen/ops/nanmedian_compositeimplicitautograd_dispatch.h> |
| 702 | #include <ATen/ops/nanmedian_native.h> |
| 703 | #include <ATen/ops/nanquantile_compositeimplicitautograd_dispatch.h> |
| 704 | #include <ATen/ops/nanquantile_native.h> |
| 705 | #include <ATen/ops/narrow_compositeimplicitautograd_dispatch.h> |
| 706 | #include <ATen/ops/narrow_native.h> |
| 707 | #include <ATen/ops/native_channel_shuffle_compositeimplicitautograd_dispatch.h> |
| 708 | #include <ATen/ops/native_channel_shuffle_native.h> |
| 709 | #include <ATen/ops/negative_compositeimplicitautograd_dispatch.h> |
| 710 | #include <ATen/ops/negative_native.h> |
| 711 | #include <ATen/ops/nested_to_padded_tensor_compositeimplicitautograd_dispatch.h> |
| 712 | #include <ATen/ops/nested_to_padded_tensor_native.h> |
| 713 | #include <ATen/ops/nll_loss2d_compositeimplicitautograd_dispatch.h> |
| 714 | #include <ATen/ops/nll_loss2d_native.h> |
| 715 | #include <ATen/ops/nll_loss_compositeimplicitautograd_dispatch.h> |
| 716 | #include <ATen/ops/nll_loss_native.h> |
| 717 | #include <ATen/ops/nll_loss_nd_compositeimplicitautograd_dispatch.h> |
| 718 | #include <ATen/ops/nll_loss_nd_native.h> |
| 719 | #include <ATen/ops/nonzero_numpy_compositeimplicitautograd_dispatch.h> |
| 720 | #include <ATen/ops/nonzero_numpy_native.h> |
| 721 | #include <ATen/ops/norm_compositeimplicitautograd_dispatch.h> |
| 722 | #include <ATen/ops/norm_except_dim_compositeimplicitautograd_dispatch.h> |
| 723 | #include <ATen/ops/norm_except_dim_native.h> |
| 724 | #include <ATen/ops/norm_native.h> |
| 725 | #include <ATen/ops/not_equal_compositeimplicitautograd_dispatch.h> |
| 726 | #include <ATen/ops/not_equal_native.h> |
| 727 | #include <ATen/ops/nuclear_norm_compositeimplicitautograd_dispatch.h> |
| 728 | #include <ATen/ops/nuclear_norm_native.h> |
| 729 | #include <ATen/ops/numpy_T_compositeimplicitautograd_dispatch.h> |
| 730 | #include <ATen/ops/numpy_T_native.h> |
| 731 | #include <ATen/ops/one_hot_compositeimplicitautograd_dispatch.h> |
| 732 | #include <ATen/ops/one_hot_native.h> |
| 733 | #include <ATen/ops/or_compositeimplicitautograd_dispatch.h> |
| 734 | #include <ATen/ops/or_native.h> |
| 735 | #include <ATen/ops/orgqr_compositeimplicitautograd_dispatch.h> |
| 736 | #include <ATen/ops/orgqr_native.h> |
| 737 | #include <ATen/ops/outer_compositeimplicitautograd_dispatch.h> |
| 738 | #include <ATen/ops/outer_native.h> |
| 739 | #include <ATen/ops/output_nr_compositeimplicitautograd_dispatch.h> |
| 740 | #include <ATen/ops/output_nr_native.h> |
| 741 | #include <ATen/ops/pad_compositeimplicitautograd_dispatch.h> |
| 742 | #include <ATen/ops/pad_native.h> |
| 743 | #include <ATen/ops/pad_sequence_compositeimplicitautograd_dispatch.h> |
| 744 | #include <ATen/ops/pad_sequence_native.h> |
| 745 | #include <ATen/ops/pairwise_distance_compositeimplicitautograd_dispatch.h> |
| 746 | #include <ATen/ops/pairwise_distance_native.h> |
| 747 | #include <ATen/ops/pdist_compositeimplicitautograd_dispatch.h> |
| 748 | #include <ATen/ops/pdist_native.h> |
| 749 | #include <ATen/ops/pin_memory_compositeimplicitautograd_dispatch.h> |
| 750 | #include <ATen/ops/pin_memory_native.h> |
| 751 | #include <ATen/ops/pinverse_compositeimplicitautograd_dispatch.h> |
| 752 | #include <ATen/ops/pinverse_native.h> |
| 753 | #include <ATen/ops/poisson_nll_loss_compositeimplicitautograd_dispatch.h> |
| 754 | #include <ATen/ops/poisson_nll_loss_native.h> |
| 755 | #include <ATen/ops/positive_compositeimplicitautograd_dispatch.h> |
| 756 | #include <ATen/ops/positive_native.h> |
| 757 | #include <ATen/ops/prelu_compositeimplicitautograd_dispatch.h> |
| 758 | #include <ATen/ops/prelu_native.h> |
| 759 | #include <ATen/ops/prod_compositeimplicitautograd_dispatch.h> |
| 760 | #include <ATen/ops/prod_native.h> |
| 761 | #include <ATen/ops/promote_types_compositeimplicitautograd_dispatch.h> |
| 762 | #include <ATen/ops/promote_types_native.h> |
| 763 | #include <ATen/ops/qr_compositeimplicitautograd_dispatch.h> |
| 764 | #include <ATen/ops/qr_native.h> |
| 765 | #include <ATen/ops/quantile_compositeimplicitautograd_dispatch.h> |
| 766 | #include <ATen/ops/quantile_native.h> |
| 767 | #include <ATen/ops/quantized_gru_cell_compositeimplicitautograd_dispatch.h> |
| 768 | #include <ATen/ops/quantized_gru_cell_native.h> |
| 769 | #include <ATen/ops/quantized_lstm_cell_compositeimplicitautograd_dispatch.h> |
| 770 | #include <ATen/ops/quantized_lstm_cell_native.h> |
| 771 | #include <ATen/ops/quantized_rnn_relu_cell_compositeimplicitautograd_dispatch.h> |
| 772 | #include <ATen/ops/quantized_rnn_relu_cell_native.h> |
| 773 | #include <ATen/ops/quantized_rnn_tanh_cell_compositeimplicitautograd_dispatch.h> |
| 774 | #include <ATen/ops/quantized_rnn_tanh_cell_native.h> |
| 775 | #include <ATen/ops/rand_compositeimplicitautograd_dispatch.h> |
| 776 | #include <ATen/ops/rand_native.h> |
| 777 | #include <ATen/ops/randn_compositeimplicitautograd_dispatch.h> |
| 778 | #include <ATen/ops/randn_native.h> |
| 779 | #include <ATen/ops/ravel_compositeimplicitautograd_dispatch.h> |
| 780 | #include <ATen/ops/ravel_native.h> |
| 781 | #include <ATen/ops/real_compositeimplicitautograd_dispatch.h> |
| 782 | #include <ATen/ops/real_native.h> |
| 783 | #include <ATen/ops/refine_names_compositeimplicitautograd_dispatch.h> |
| 784 | #include <ATen/ops/refine_names_native.h> |
| 785 | #include <ATen/ops/relu6_compositeimplicitautograd_dispatch.h> |
| 786 | #include <ATen/ops/relu6_native.h> |
| 787 | #include <ATen/ops/rename_compositeimplicitautograd_dispatch.h> |
| 788 | #include <ATen/ops/rename_native.h> |
| 789 | #include <ATen/ops/repeat_interleave_compositeimplicitautograd_dispatch.h> |
| 790 | #include <ATen/ops/repeat_interleave_native.h> |
| 791 | #include <ATen/ops/requires_grad_compositeimplicitautograd_dispatch.h> |
| 792 | #include <ATen/ops/requires_grad_native.h> |
| 793 | #include <ATen/ops/reshape_as_compositeimplicitautograd_dispatch.h> |
| 794 | #include <ATen/ops/reshape_as_native.h> |
| 795 | #include <ATen/ops/reshape_compositeimplicitautograd_dispatch.h> |
| 796 | #include <ATen/ops/reshape_native.h> |
| 797 | #include <ATen/ops/resolve_conj_compositeimplicitautograd_dispatch.h> |
| 798 | #include <ATen/ops/resolve_conj_native.h> |
| 799 | #include <ATen/ops/resolve_neg_compositeimplicitautograd_dispatch.h> |
| 800 | #include <ATen/ops/resolve_neg_native.h> |
| 801 | #include <ATen/ops/result_type_compositeimplicitautograd_dispatch.h> |
| 802 | #include <ATen/ops/result_type_native.h> |
| 803 | #include <ATen/ops/retain_grad_compositeimplicitautograd_dispatch.h> |
| 804 | #include <ATen/ops/retain_grad_native.h> |
| 805 | #include <ATen/ops/retains_grad_compositeimplicitautograd_dispatch.h> |
| 806 | #include <ATen/ops/retains_grad_native.h> |
| 807 | #include <ATen/ops/rnn_relu_cell_compositeimplicitautograd_dispatch.h> |
| 808 | #include <ATen/ops/rnn_relu_cell_native.h> |
| 809 | #include <ATen/ops/rnn_relu_compositeimplicitautograd_dispatch.h> |
| 810 | #include <ATen/ops/rnn_relu_native.h> |
| 811 | #include <ATen/ops/rnn_tanh_cell_compositeimplicitautograd_dispatch.h> |
| 812 | #include <ATen/ops/rnn_tanh_cell_native.h> |
| 813 | #include <ATen/ops/rnn_tanh_compositeimplicitautograd_dispatch.h> |
| 814 | #include <ATen/ops/rnn_tanh_native.h> |
| 815 | #include <ATen/ops/row_stack_compositeimplicitautograd_dispatch.h> |
| 816 | #include <ATen/ops/row_stack_native.h> |
| 817 | #include <ATen/ops/rrelu_compositeimplicitautograd_dispatch.h> |
| 818 | #include <ATen/ops/rrelu_native.h> |
| 819 | #include <ATen/ops/scaled_dot_product_attention_compositeimplicitautograd_dispatch.h> |
| 820 | #include <ATen/ops/scaled_dot_product_attention_native.h> |
| 821 | #include <ATen/ops/scatter_add_compositeimplicitautograd_dispatch.h> |
| 822 | #include <ATen/ops/scatter_add_native.h> |
| 823 | #include <ATen/ops/scatter_compositeimplicitautograd_dispatch.h> |
| 824 | #include <ATen/ops/scatter_native.h> |
| 825 | #include <ATen/ops/select_compositeimplicitautograd_dispatch.h> |
| 826 | #include <ATen/ops/select_native.h> |
| 827 | #include <ATen/ops/selu_compositeimplicitautograd_dispatch.h> |
| 828 | #include <ATen/ops/selu_native.h> |
| 829 | #include <ATen/ops/set_compositeimplicitautograd_dispatch.h> |
| 830 | #include <ATen/ops/set_data_compositeimplicitautograd_dispatch.h> |
| 831 | #include <ATen/ops/set_data_native.h> |
| 832 | #include <ATen/ops/set_native.h> |
| 833 | #include <ATen/ops/silu_backward_compositeimplicitautograd_dispatch.h> |
| 834 | #include <ATen/ops/silu_backward_native.h> |
| 835 | #include <ATen/ops/size_compositeimplicitautograd_dispatch.h> |
| 836 | #include <ATen/ops/size_native.h> |
| 837 | #include <ATen/ops/slogdet_compositeimplicitautograd_dispatch.h> |
| 838 | #include <ATen/ops/slogdet_native.h> |
| 839 | #include <ATen/ops/slow_conv3d_compositeimplicitautograd_dispatch.h> |
| 840 | #include <ATen/ops/slow_conv3d_native.h> |
| 841 | #include <ATen/ops/smm_compositeimplicitautograd_dispatch.h> |
| 842 | #include <ATen/ops/smm_native.h> |
| 843 | #include <ATen/ops/softmax_compositeimplicitautograd_dispatch.h> |
| 844 | #include <ATen/ops/softmax_native.h> |
| 845 | #include <ATen/ops/sort_compositeimplicitautograd_dispatch.h> |
| 846 | #include <ATen/ops/sort_native.h> |
| 847 | #include <ATen/ops/sparse_bsc_tensor_compositeimplicitautograd_dispatch.h> |
| 848 | #include <ATen/ops/sparse_bsc_tensor_native.h> |
| 849 | #include <ATen/ops/sparse_bsr_tensor_compositeimplicitautograd_dispatch.h> |
| 850 | #include <ATen/ops/sparse_bsr_tensor_native.h> |
| 851 | #include <ATen/ops/sparse_compressed_tensor_compositeimplicitautograd_dispatch.h> |
| 852 | #include <ATen/ops/sparse_compressed_tensor_native.h> |
| 853 | #include <ATen/ops/sparse_coo_tensor_compositeimplicitautograd_dispatch.h> |
| 854 | #include <ATen/ops/sparse_coo_tensor_native.h> |
| 855 | #include <ATen/ops/sparse_csc_tensor_compositeimplicitautograd_dispatch.h> |
| 856 | #include <ATen/ops/sparse_csc_tensor_native.h> |
| 857 | #include <ATen/ops/sparse_csr_tensor_compositeimplicitautograd_dispatch.h> |
| 858 | #include <ATen/ops/sparse_csr_tensor_native.h> |
| 859 | #include <ATen/ops/special_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h> |
| 860 | #include <ATen/ops/special_chebyshev_polynomial_t_native.h> |
| 861 | #include <ATen/ops/special_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h> |
| 862 | #include <ATen/ops/special_chebyshev_polynomial_u_native.h> |
| 863 | #include <ATen/ops/special_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h> |
| 864 | #include <ATen/ops/special_chebyshev_polynomial_v_native.h> |
| 865 | #include <ATen/ops/special_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h> |
| 866 | #include <ATen/ops/special_chebyshev_polynomial_w_native.h> |
| 867 | #include <ATen/ops/special_digamma_compositeimplicitautograd_dispatch.h> |
| 868 | #include <ATen/ops/special_digamma_native.h> |
| 869 | #include <ATen/ops/special_erf_compositeimplicitautograd_dispatch.h> |
| 870 | #include <ATen/ops/special_erf_native.h> |
| 871 | #include <ATen/ops/special_erfc_compositeimplicitautograd_dispatch.h> |
| 872 | #include <ATen/ops/special_erfc_native.h> |
| 873 | #include <ATen/ops/special_erfinv_compositeimplicitautograd_dispatch.h> |
| 874 | #include <ATen/ops/special_erfinv_native.h> |
| 875 | #include <ATen/ops/special_exp2_compositeimplicitautograd_dispatch.h> |
| 876 | #include <ATen/ops/special_exp2_native.h> |
| 877 | #include <ATen/ops/special_expit_compositeimplicitautograd_dispatch.h> |
| 878 | #include <ATen/ops/special_expit_native.h> |
| 879 | #include <ATen/ops/special_expm1_compositeimplicitautograd_dispatch.h> |
| 880 | #include <ATen/ops/special_expm1_native.h> |
| 881 | #include <ATen/ops/special_gammainc_compositeimplicitautograd_dispatch.h> |
| 882 | #include <ATen/ops/special_gammainc_native.h> |
| 883 | #include <ATen/ops/special_gammaincc_compositeimplicitautograd_dispatch.h> |
| 884 | #include <ATen/ops/special_gammaincc_native.h> |
| 885 | #include <ATen/ops/special_gammaln_compositeimplicitautograd_dispatch.h> |
| 886 | #include <ATen/ops/special_gammaln_native.h> |
| 887 | #include <ATen/ops/special_hermite_polynomial_h_compositeimplicitautograd_dispatch.h> |
| 888 | #include <ATen/ops/special_hermite_polynomial_h_native.h> |
| 889 | #include <ATen/ops/special_hermite_polynomial_he_compositeimplicitautograd_dispatch.h> |
| 890 | #include <ATen/ops/special_hermite_polynomial_he_native.h> |
| 891 | #include <ATen/ops/special_i0_compositeimplicitautograd_dispatch.h> |
| 892 | #include <ATen/ops/special_i0_native.h> |
| 893 | #include <ATen/ops/special_laguerre_polynomial_l_compositeimplicitautograd_dispatch.h> |
| 894 | #include <ATen/ops/special_laguerre_polynomial_l_native.h> |
| 895 | #include <ATen/ops/special_legendre_polynomial_p_compositeimplicitautograd_dispatch.h> |
| 896 | #include <ATen/ops/special_legendre_polynomial_p_native.h> |
| 897 | #include <ATen/ops/special_log1p_compositeimplicitautograd_dispatch.h> |
| 898 | #include <ATen/ops/special_log1p_native.h> |
| 899 | #include <ATen/ops/special_log_softmax_compositeimplicitautograd_dispatch.h> |
| 900 | #include <ATen/ops/special_log_softmax_native.h> |
| 901 | #include <ATen/ops/special_logit_compositeimplicitautograd_dispatch.h> |
| 902 | #include <ATen/ops/special_logit_native.h> |
| 903 | #include <ATen/ops/special_logsumexp_compositeimplicitautograd_dispatch.h> |
| 904 | #include <ATen/ops/special_logsumexp_native.h> |
| 905 | #include <ATen/ops/special_multigammaln_compositeimplicitautograd_dispatch.h> |
| 906 | #include <ATen/ops/special_multigammaln_native.h> |
| 907 | #include <ATen/ops/special_ndtr_compositeimplicitautograd_dispatch.h> |
| 908 | #include <ATen/ops/special_ndtr_native.h> |
| 909 | #include <ATen/ops/special_polygamma_compositeimplicitautograd_dispatch.h> |
| 910 | #include <ATen/ops/special_polygamma_native.h> |
| 911 | #include <ATen/ops/special_psi_compositeimplicitautograd_dispatch.h> |
| 912 | #include <ATen/ops/special_psi_native.h> |
| 913 | #include <ATen/ops/special_round_compositeimplicitautograd_dispatch.h> |
| 914 | #include <ATen/ops/special_round_native.h> |
| 915 | #include <ATen/ops/special_shifted_chebyshev_polynomial_t_compositeimplicitautograd_dispatch.h> |
| 916 | #include <ATen/ops/special_shifted_chebyshev_polynomial_t_native.h> |
| 917 | #include <ATen/ops/special_shifted_chebyshev_polynomial_u_compositeimplicitautograd_dispatch.h> |
| 918 | #include <ATen/ops/special_shifted_chebyshev_polynomial_u_native.h> |
| 919 | #include <ATen/ops/special_shifted_chebyshev_polynomial_v_compositeimplicitautograd_dispatch.h> |
| 920 | #include <ATen/ops/special_shifted_chebyshev_polynomial_v_native.h> |
| 921 | #include <ATen/ops/special_shifted_chebyshev_polynomial_w_compositeimplicitautograd_dispatch.h> |
| 922 | #include <ATen/ops/special_shifted_chebyshev_polynomial_w_native.h> |
| 923 | #include <ATen/ops/special_sinc_compositeimplicitautograd_dispatch.h> |
| 924 | #include <ATen/ops/special_sinc_native.h> |
| 925 | #include <ATen/ops/special_softmax_compositeimplicitautograd_dispatch.h> |
| 926 | #include <ATen/ops/special_softmax_native.h> |
| 927 | #include <ATen/ops/special_xlogy_compositeimplicitautograd_dispatch.h> |
| 928 | #include <ATen/ops/special_xlogy_native.h> |
| 929 | #include <ATen/ops/split_compositeimplicitautograd_dispatch.h> |
| 930 | #include <ATen/ops/split_native.h> |
| 931 | #include <ATen/ops/square_compositeimplicitautograd_dispatch.h> |
| 932 | #include <ATen/ops/square_native.h> |
| 933 | #include <ATen/ops/squeeze_compositeimplicitautograd_dispatch.h> |
| 934 | #include <ATen/ops/squeeze_native.h> |
| 935 | #include <ATen/ops/sspaddmm_compositeimplicitautograd_dispatch.h> |
| 936 | #include <ATen/ops/sspaddmm_native.h> |
| 937 | #include <ATen/ops/std_compositeimplicitautograd_dispatch.h> |
| 938 | #include <ATen/ops/std_mean_compositeimplicitautograd_dispatch.h> |
| 939 | #include <ATen/ops/std_mean_native.h> |
| 940 | #include <ATen/ops/std_native.h> |
| 941 | #include <ATen/ops/stft_compositeimplicitautograd_dispatch.h> |
| 942 | #include <ATen/ops/stft_native.h> |
| 943 | #include <ATen/ops/stride_compositeimplicitautograd_dispatch.h> |
| 944 | #include <ATen/ops/stride_native.h> |
| 945 | #include <ATen/ops/subtract_compositeimplicitautograd_dispatch.h> |
| 946 | #include <ATen/ops/subtract_native.h> |
| 947 | #include <ATen/ops/sum_compositeimplicitautograd_dispatch.h> |
| 948 | #include <ATen/ops/sum_native.h> |
| 949 | #include <ATen/ops/sum_to_size_compositeimplicitautograd_dispatch.h> |
| 950 | #include <ATen/ops/sum_to_size_native.h> |
| 951 | #include <ATen/ops/svd_compositeimplicitautograd_dispatch.h> |
| 952 | #include <ATen/ops/svd_native.h> |
| 953 | #include <ATen/ops/swapaxes_compositeimplicitautograd_dispatch.h> |
| 954 | #include <ATen/ops/swapaxes_native.h> |
| 955 | #include <ATen/ops/swapdims_compositeimplicitautograd_dispatch.h> |
| 956 | #include <ATen/ops/swapdims_native.h> |
| 957 | #include <ATen/ops/take_along_dim_compositeimplicitautograd_dispatch.h> |
| 958 | #include <ATen/ops/take_along_dim_native.h> |
| 959 | #include <ATen/ops/tensor_split_compositeimplicitautograd_dispatch.h> |
| 960 | #include <ATen/ops/tensor_split_native.h> |
| 961 | #include <ATen/ops/tensordot_compositeimplicitautograd_dispatch.h> |
| 962 | #include <ATen/ops/tensordot_native.h> |
| 963 | #include <ATen/ops/thnn_conv2d_compositeimplicitautograd_dispatch.h> |
| 964 | #include <ATen/ops/thnn_conv2d_native.h> |
| 965 | #include <ATen/ops/tile_compositeimplicitautograd_dispatch.h> |
| 966 | #include <ATen/ops/tile_native.h> |
| 967 | #include <ATen/ops/to_compositeimplicitautograd_dispatch.h> |
| 968 | #include <ATen/ops/to_dense_backward_compositeimplicitautograd_dispatch.h> |
| 969 | #include <ATen/ops/to_dense_backward_native.h> |
| 970 | #include <ATen/ops/to_dense_compositeimplicitautograd_dispatch.h> |
| 971 | #include <ATen/ops/to_dense_native.h> |
| 972 | #include <ATen/ops/to_mkldnn_backward_compositeimplicitautograd_dispatch.h> |
| 973 | #include <ATen/ops/to_mkldnn_backward_native.h> |
| 974 | #include <ATen/ops/to_native.h> |
| 975 | #include <ATen/ops/trace_backward_compositeimplicitautograd_dispatch.h> |
| 976 | #include <ATen/ops/trace_backward_native.h> |
| 977 | #include <ATen/ops/transpose_compositeimplicitautograd_dispatch.h> |
| 978 | #include <ATen/ops/transpose_native.h> |
| 979 | #include <ATen/ops/trapezoid_compositeimplicitautograd_dispatch.h> |
| 980 | #include <ATen/ops/trapezoid_native.h> |
| 981 | #include <ATen/ops/trapz_compositeimplicitautograd_dispatch.h> |
| 982 | #include <ATen/ops/trapz_native.h> |
| 983 | #include <ATen/ops/triplet_margin_loss_compositeimplicitautograd_dispatch.h> |
| 984 | #include <ATen/ops/triplet_margin_loss_native.h> |
| 985 | #include <ATen/ops/true_divide_compositeimplicitautograd_dispatch.h> |
| 986 | #include <ATen/ops/true_divide_native.h> |
| 987 | #include <ATen/ops/type_as_compositeimplicitautograd_dispatch.h> |
| 988 | #include <ATen/ops/type_as_native.h> |
| 989 | #include <ATen/ops/unbind_compositeimplicitautograd_dispatch.h> |
| 990 | #include <ATen/ops/unbind_native.h> |
| 991 | #include <ATen/ops/unflatten_compositeimplicitautograd_dispatch.h> |
| 992 | #include <ATen/ops/unflatten_dense_tensors_compositeimplicitautograd_dispatch.h> |
| 993 | #include <ATen/ops/unflatten_dense_tensors_native.h> |
| 994 | #include <ATen/ops/unflatten_native.h> |
| 995 | #include <ATen/ops/unsafe_chunk_compositeimplicitautograd_dispatch.h> |
| 996 | #include <ATen/ops/unsafe_chunk_native.h> |
| 997 | #include <ATen/ops/upsample_bicubic2d_compositeimplicitautograd_dispatch.h> |
| 998 | #include <ATen/ops/upsample_bicubic2d_native.h> |
| 999 | #include <ATen/ops/upsample_bilinear2d_compositeimplicitautograd_dispatch.h> |
| 1000 | #include <ATen/ops/upsample_bilinear2d_native.h> |
| 1001 | #include <ATen/ops/upsample_linear1d_compositeimplicitautograd_dispatch.h> |
| 1002 | #include <ATen/ops/upsample_linear1d_native.h> |
| 1003 | #include <ATen/ops/upsample_nearest1d_compositeimplicitautograd_dispatch.h> |
| 1004 | #include <ATen/ops/upsample_nearest1d_native.h> |
| 1005 | #include <ATen/ops/upsample_nearest2d_compositeimplicitautograd_dispatch.h> |
| 1006 | #include <ATen/ops/upsample_nearest2d_native.h> |
| 1007 | #include <ATen/ops/upsample_nearest3d_compositeimplicitautograd_dispatch.h> |
| 1008 | #include <ATen/ops/upsample_nearest3d_native.h> |
| 1009 | #include <ATen/ops/upsample_trilinear3d_compositeimplicitautograd_dispatch.h> |
| 1010 | #include <ATen/ops/upsample_trilinear3d_native.h> |
| 1011 | #include <ATen/ops/value_selecting_reduction_backward_compositeimplicitautograd_dispatch.h> |
| 1012 | #include <ATen/ops/value_selecting_reduction_backward_native.h> |
| 1013 | #include <ATen/ops/vander_compositeimplicitautograd_dispatch.h> |
| 1014 | #include <ATen/ops/vander_native.h> |
| 1015 | #include <ATen/ops/var_compositeimplicitautograd_dispatch.h> |
| 1016 | #include <ATen/ops/var_mean_compositeimplicitautograd_dispatch.h> |
| 1017 | #include <ATen/ops/var_mean_native.h> |
| 1018 | #include <ATen/ops/var_native.h> |
| 1019 | #include <ATen/ops/view_as_compositeimplicitautograd_dispatch.h> |
| 1020 | #include <ATen/ops/view_as_native.h> |
| 1021 | #include <ATen/ops/vsplit_compositeimplicitautograd_dispatch.h> |
| 1022 | #include <ATen/ops/vsplit_native.h> |
| 1023 | #include <ATen/ops/vstack_compositeimplicitautograd_dispatch.h> |
| 1024 | #include <ATen/ops/vstack_native.h> |
| 1025 | #include <ATen/ops/where_compositeimplicitautograd_dispatch.h> |
| 1026 | #include <ATen/ops/where_native.h> |
| 1027 | #include <ATen/ops/xor_compositeimplicitautograd_dispatch.h> |
| 1028 | #include <ATen/ops/xor_native.h> |
| 1029 | |
| 1030 | // See template file RegisterDispatchDefinitions.ini |
| 1031 | namespace at { |
| 1032 | // NB: TORCH_LIBRARY_IMPL must be in an anonymous namespace to avoid |
| 1033 | // ambiguity with conflicting identifiers that may have been defined in |
| 1034 | // at namespace already. |
| 1035 | namespace { |
| 1036 | void resize_out(const Tensor &out, IntArrayRef sizes, IntArrayRef strides, const TensorOptions &options) { |
| 1037 | TORCH_CHECK(options.dtype() == out.dtype(), |
| 1038 | "Expected out tensor to have dtype ", options.dtype(), ", but got ", out.dtype(), " instead"); |
| 1039 | TORCH_CHECK(options.device() == out.device(), |
| 1040 | "Expected out tensor to have device ", options.device(), ", but got ", out.device(), " instead"); |
| 1041 | const bool resized = at::native::resize_output(out, sizes); |
| 1042 | // Only restride if a resize occurred; otherwise we ignore the (advisory) |
| 1043 | // strides from the meta function and directly use the output tensor's |
| 1044 | // preexisting strides |
| 1045 | if (resized) { |
| 1046 | if (!strides.empty()) { |
| 1047 | TORCH_INTERNAL_ASSERT(!options.memory_format_opt().has_value()); |
| 1048 | // TODO: avoid the redispatch here |
| 1049 | out.as_strided_(sizes, strides); |
| 1050 | } else if (options.memory_format_opt().has_value()) { |
| 1051 | out.unsafeGetTensorImpl()->empty_tensor_restride(*options.memory_format_opt()); |
| 1052 | } |
| 1053 | } |
| 1054 | } |
| 1055 | void check_inplace(const Tensor &self, IntArrayRef sizes, const TensorOptions &options) { |
| 1056 | // These checks are needed on those operators that: |
| 1057 | // 1) don't use 'TensorIterator' (e.g. 'addmm' and 'baddbmm') |
| 1058 | // 2) have particular typing rules (e.g. 'cumsum' and 'cumprod') |
| 1059 | // For other operators (e.g. 'add'), 'TensorIterator' already checks |
| 1060 | // these things separately. |
| 1061 | TORCH_CHECK(options.dtype() == self.dtype(), |
| 1062 | "Bad in-place call: ", |
| 1063 | "input tensor dtype ", self.dtype(), " and output tensor dtype ", options.dtype(), " should match"); |
| 1064 | TORCH_CHECK(options.device() == self.device(), |
| 1065 | "Bad in-place call: ", |
| 1066 | "input tensor device ", self.device(), " and output tensor device ", options.device(), " should match"); |
| 1067 | TORCH_CHECK(sizes == self.sizes(), |
| 1068 | "Bad in-place call: ", |
| 1069 | "input tensor size ", self.sizes(), " and output tensor size ", sizes, " should match"); |
| 1070 | } |
| 1071 | namespace { |
| 1072 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Byte(const at::Tensor & self, bool non_blocking) { |
| 1073 | // No device check |
| 1074 | // DeviceGuard omitted |
| 1075 | return at::native::_cast_Byte(self, non_blocking); |
| 1076 | } |
| 1077 | } // anonymous namespace |
| 1078 | namespace { |
| 1079 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Char(const at::Tensor & self, bool non_blocking) { |
| 1080 | // No device check |
| 1081 | // DeviceGuard omitted |
| 1082 | return at::native::_cast_Char(self, non_blocking); |
| 1083 | } |
| 1084 | } // anonymous namespace |
| 1085 | namespace { |
| 1086 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Double(const at::Tensor & self, bool non_blocking) { |
| 1087 | // No device check |
| 1088 | // DeviceGuard omitted |
| 1089 | return at::native::_cast_Double(self, non_blocking); |
| 1090 | } |
| 1091 | } // anonymous namespace |
| 1092 | namespace { |
| 1093 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Float(const at::Tensor & self, bool non_blocking) { |
| 1094 | // No device check |
| 1095 | // DeviceGuard omitted |
| 1096 | return at::native::_cast_Float(self, non_blocking); |
| 1097 | } |
| 1098 | } // anonymous namespace |
| 1099 | namespace { |
| 1100 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Int(const at::Tensor & self, bool non_blocking) { |
| 1101 | // No device check |
| 1102 | // DeviceGuard omitted |
| 1103 | return at::native::_cast_Int(self, non_blocking); |
| 1104 | } |
| 1105 | } // anonymous namespace |
| 1106 | namespace { |
| 1107 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Long(const at::Tensor & self, bool non_blocking) { |
| 1108 | // No device check |
| 1109 | // DeviceGuard omitted |
| 1110 | return at::native::_cast_Long(self, non_blocking); |
| 1111 | } |
| 1112 | } // anonymous namespace |
| 1113 | namespace { |
| 1114 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Short(const at::Tensor & self, bool non_blocking) { |
| 1115 | // No device check |
| 1116 | // DeviceGuard omitted |
| 1117 | return at::native::_cast_Short(self, non_blocking); |
| 1118 | } |
| 1119 | } // anonymous namespace |
| 1120 | namespace { |
| 1121 | at::Tensor wrapper_CompositeImplicitAutograd___cast_Half(const at::Tensor & self, bool non_blocking) { |
| 1122 | // No device check |
| 1123 | // DeviceGuard omitted |
| 1124 | return at::native::_cast_Half(self, non_blocking); |
| 1125 | } |
| 1126 | } // anonymous namespace |
| 1127 | namespace { |
| 1128 | void wrapper_CompositeImplicitAutograd___backward(const at::Tensor & self, at::TensorList inputs, const c10::optional<at::Tensor> & gradient, c10::optional<bool> retain_graph, bool create_graph) { |
| 1129 | // No device check |
| 1130 | // DeviceGuard omitted |
| 1131 | return at::native::_backward(self, inputs, gradient, retain_graph, create_graph); |
| 1132 | } |
| 1133 | } // anonymous namespace |
| 1134 | namespace { |
| 1135 | void wrapper_CompositeImplicitAutograd__set_data(at::Tensor & self, const at::Tensor & new_data) { |
| 1136 | // No device check |
| 1137 | // DeviceGuard omitted |
| 1138 | return at::native::set_data(self, new_data); |
| 1139 | } |
| 1140 | } // anonymous namespace |
| 1141 | namespace { |
| 1142 | at::Tensor wrapper_CompositeImplicitAutograd__data(const at::Tensor & self) { |
| 1143 | // No device check |
| 1144 | // DeviceGuard omitted |
| 1145 | return at::native::data(self); |
| 1146 | } |
| 1147 | } // anonymous namespace |
| 1148 | namespace { |
| 1149 | bool wrapper_CompositeImplicitAutograd__is_leaf(const at::Tensor & self) { |
| 1150 | // No device check |
| 1151 | // DeviceGuard omitted |
| 1152 | return at::native::is_leaf(self); |
| 1153 | } |
| 1154 | } // anonymous namespace |
| 1155 | namespace { |
| 1156 | int64_t wrapper_CompositeImplicitAutograd__output_nr(const at::Tensor & self) { |
| 1157 | // No device check |
| 1158 | // DeviceGuard omitted |
| 1159 | return at::native::output_nr(self); |
| 1160 | } |
| 1161 | } // anonymous namespace |
| 1162 | namespace { |
| 1163 | int64_t wrapper_CompositeImplicitAutograd___version(const at::Tensor & self) { |
| 1164 | // No device check |
| 1165 | // DeviceGuard omitted |
| 1166 | return at::native::_version(self); |
| 1167 | } |
| 1168 | } // anonymous namespace |
| 1169 | namespace { |
| 1170 | at::Tensor & wrapper_CompositeImplicitAutograd__requires_grad_(at::Tensor & self, bool requires_grad) { |
| 1171 | // No device check |
| 1172 | // DeviceGuard omitted |
| 1173 | return at::native::requires_grad_(self, requires_grad); |
| 1174 | } |
| 1175 | } // anonymous namespace |
| 1176 | namespace { |
| 1177 | void wrapper_CompositeImplicitAutograd__retain_grad(at::Tensor & self) { |
| 1178 | // No device check |
| 1179 | // DeviceGuard omitted |
| 1180 | return at::native::retain_grad(self); |
| 1181 | } |
| 1182 | } // anonymous namespace |
| 1183 | namespace { |
| 1184 | bool wrapper_CompositeImplicitAutograd__retains_grad(const at::Tensor & self) { |
| 1185 | // No device check |
| 1186 | // DeviceGuard omitted |
| 1187 | return at::native::retains_grad(self); |
| 1188 | } |
| 1189 | } // anonymous namespace |
| 1190 | namespace { |
| 1191 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___unpack_dual(const at::Tensor & dual, int64_t level) { |
| 1192 | // No device check |
| 1193 | // DeviceGuard omitted |
| 1194 | return at::native::_unpack_dual(dual, level); |
| 1195 | } |
| 1196 | } // anonymous namespace |
| 1197 | namespace { |
| 1198 | at::Tensor & wrapper_CompositeImplicitAutograd__rename_(at::Tensor & self, c10::optional<at::DimnameList> names) { |
| 1199 | // No device check |
| 1200 | // DeviceGuard omitted |
| 1201 | return at::native::rename_(self, names); |
| 1202 | } |
| 1203 | } // anonymous namespace |
| 1204 | namespace { |
| 1205 | at::Tensor wrapper_CompositeImplicitAutograd__rename(const at::Tensor & self, c10::optional<at::DimnameList> names) { |
| 1206 | // No device check |
| 1207 | // DeviceGuard omitted |
| 1208 | return at::native::rename(self, names); |
| 1209 | } |
| 1210 | } // anonymous namespace |
| 1211 | namespace { |
| 1212 | at::Tensor wrapper_CompositeImplicitAutograd__align_to(const at::Tensor & self, at::DimnameList names) { |
| 1213 | // No device check |
| 1214 | // DeviceGuard omitted |
| 1215 | return at::native::align_to(self, names); |
| 1216 | } |
| 1217 | } // anonymous namespace |
| 1218 | namespace { |
| 1219 | at::Tensor wrapper_CompositeImplicitAutograd_ellipsis_idx_align_to(const at::Tensor & self, at::DimnameList order, int64_t ellipsis_idx) { |
| 1220 | // No device check |
| 1221 | // DeviceGuard omitted |
| 1222 | return at::native::align_to(self, order, ellipsis_idx); |
| 1223 | } |
| 1224 | } // anonymous namespace |
| 1225 | namespace { |
| 1226 | at::Tensor wrapper_CompositeImplicitAutograd__align_as(const at::Tensor & self, const at::Tensor & other) { |
| 1227 | // No device check |
| 1228 | // DeviceGuard omitted |
| 1229 | return at::native::align_as(self, other); |
| 1230 | } |
| 1231 | } // anonymous namespace |
| 1232 | namespace { |
| 1233 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__align_tensors(at::TensorList tensors) { |
| 1234 | // No device check |
| 1235 | // DeviceGuard omitted |
| 1236 | return at::native::align_tensors(tensors); |
| 1237 | } |
| 1238 | } // anonymous namespace |
| 1239 | namespace { |
| 1240 | void wrapper_CompositeImplicitAutograd___assert_tensor_metadata(const at::Tensor & a, at::OptionalIntArrayRef size, at::OptionalIntArrayRef stride, c10::optional<at::ScalarType> dtype) { |
| 1241 | // No device check |
| 1242 | // DeviceGuard omitted |
| 1243 | return at::native::_assert_tensor_metadata(a, size, stride, dtype); |
| 1244 | } |
| 1245 | } // anonymous namespace |
| 1246 | namespace { |
| 1247 | at::Tensor wrapper_CompositeImplicitAutograd__refine_names(const at::Tensor & self, at::DimnameList names) { |
| 1248 | // No device check |
| 1249 | // DeviceGuard omitted |
| 1250 | return at::native::refine_names(self, names); |
| 1251 | } |
| 1252 | } // anonymous namespace |
| 1253 | namespace { |
| 1254 | bool wrapper_CompositeImplicitAutograd___use_cudnn_rnn_flatten_weight() { |
| 1255 | // No device check |
| 1256 | // DeviceGuard omitted |
| 1257 | return at::native::_use_cudnn_rnn_flatten_weight(); |
| 1258 | } |
| 1259 | } // anonymous namespace |
| 1260 | namespace { |
| 1261 | int64_t wrapper_CompositeImplicitAutograd___debug_has_internal_overlap(const at::Tensor & self) { |
| 1262 | // No device check |
| 1263 | // DeviceGuard omitted |
| 1264 | return at::native::_debug_has_internal_overlap(self); |
| 1265 | } |
| 1266 | } // anonymous namespace |
| 1267 | namespace { |
| 1268 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___sobol_engine_draw(const at::Tensor & quasi, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated, c10::optional<at::ScalarType> dtype) { |
| 1269 | // No device check |
| 1270 | // DeviceGuard omitted |
| 1271 | return at::native::_sobol_engine_draw(quasi, n, sobolstate, dimension, num_generated, dtype); |
| 1272 | } |
| 1273 | } // anonymous namespace |
| 1274 | namespace { |
| 1275 | at::Tensor & wrapper_CompositeImplicitAutograd___sobol_engine_ff_(at::Tensor & self, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated) { |
| 1276 | // No device check |
| 1277 | // DeviceGuard omitted |
| 1278 | return at::native::_sobol_engine_ff_(self, n, sobolstate, dimension, num_generated); |
| 1279 | } |
| 1280 | } // anonymous namespace |
| 1281 | namespace { |
| 1282 | at::Tensor & wrapper_CompositeImplicitAutograd___sobol_engine_scramble_(at::Tensor & self, const at::Tensor & ltm, int64_t dimension) { |
| 1283 | // No device check |
| 1284 | // DeviceGuard omitted |
| 1285 | return at::native::_sobol_engine_scramble_(self, ltm, dimension); |
| 1286 | } |
| 1287 | } // anonymous namespace |
| 1288 | namespace { |
| 1289 | at::Tensor & wrapper_CompositeImplicitAutograd___sobol_engine_initialize_state_(at::Tensor & self, int64_t dimension) { |
| 1290 | // No device check |
| 1291 | // DeviceGuard omitted |
| 1292 | return at::native::_sobol_engine_initialize_state_(self, dimension); |
| 1293 | } |
| 1294 | } // anonymous namespace |
| 1295 | namespace { |
| 1296 | at::Tensor wrapper_CompositeImplicitAutograd___reshape_from_tensor(const at::Tensor & self, const at::Tensor & shape) { |
| 1297 | // No device check |
| 1298 | // DeviceGuard omitted |
| 1299 | return at::native::_reshape_from_tensor(self, shape); |
| 1300 | } |
| 1301 | } // anonymous namespace |
| 1302 | namespace { |
| 1303 | at::Tensor wrapper_CompositeImplicitAutograd___shape_as_tensor(const at::Tensor & self) { |
| 1304 | // No device check |
| 1305 | // DeviceGuard omitted |
| 1306 | return at::native::_shape_as_tensor(self); |
| 1307 | } |
| 1308 | } // anonymous namespace |
| 1309 | namespace { |
| 1310 | at::Tensor wrapper_CompositeImplicitAutograd__dropout(const at::Tensor & input, double p, bool train) { |
| 1311 | // No device check |
| 1312 | // DeviceGuard omitted |
| 1313 | return at::native::dropout(input, p, train); |
| 1314 | } |
| 1315 | } // anonymous namespace |
| 1316 | namespace { |
| 1317 | at::Tensor & wrapper_CompositeImplicitAutograd__dropout_(at::Tensor & self, double p, bool train) { |
| 1318 | // No device check |
| 1319 | // DeviceGuard omitted |
| 1320 | return at::native::dropout_(self, p, train); |
| 1321 | } |
| 1322 | } // anonymous namespace |
| 1323 | namespace { |
| 1324 | at::Tensor wrapper_CompositeImplicitAutograd__feature_dropout(const at::Tensor & input, double p, bool train) { |
| 1325 | // No device check |
| 1326 | // DeviceGuard omitted |
| 1327 | return at::native::feature_dropout(input, p, train); |
| 1328 | } |
| 1329 | } // anonymous namespace |
| 1330 | namespace { |
| 1331 | at::Tensor & wrapper_CompositeImplicitAutograd__feature_dropout_(at::Tensor & self, double p, bool train) { |
| 1332 | // No device check |
| 1333 | // DeviceGuard omitted |
| 1334 | return at::native::feature_dropout_(self, p, train); |
| 1335 | } |
| 1336 | } // anonymous namespace |
| 1337 | namespace { |
| 1338 | at::Tensor wrapper_CompositeImplicitAutograd__alpha_dropout(const at::Tensor & input, double p, bool train) { |
| 1339 | // No device check |
| 1340 | // DeviceGuard omitted |
| 1341 | return at::native::alpha_dropout(input, p, train); |
| 1342 | } |
| 1343 | } // anonymous namespace |
| 1344 | namespace { |
| 1345 | at::Tensor & wrapper_CompositeImplicitAutograd__alpha_dropout_(at::Tensor & self, double p, bool train) { |
| 1346 | // No device check |
| 1347 | // DeviceGuard omitted |
| 1348 | return at::native::alpha_dropout_(self, p, train); |
| 1349 | } |
| 1350 | } // anonymous namespace |
| 1351 | namespace { |
| 1352 | at::Tensor wrapper_CompositeImplicitAutograd__feature_alpha_dropout(const at::Tensor & input, double p, bool train) { |
| 1353 | // No device check |
| 1354 | // DeviceGuard omitted |
| 1355 | return at::native::feature_alpha_dropout(input, p, train); |
| 1356 | } |
| 1357 | } // anonymous namespace |
| 1358 | namespace { |
| 1359 | at::Tensor & wrapper_CompositeImplicitAutograd__feature_alpha_dropout_(at::Tensor & self, double p, bool train) { |
| 1360 | // No device check |
| 1361 | // DeviceGuard omitted |
| 1362 | return at::native::feature_alpha_dropout_(self, p, train); |
| 1363 | } |
| 1364 | } // anonymous namespace |
| 1365 | namespace { |
| 1366 | at::Tensor wrapper_CompositeImplicitAutograd__absolute(const at::Tensor & self) { |
| 1367 | // No device check |
| 1368 | // DeviceGuard omitted |
| 1369 | return at::native::absolute(self); |
| 1370 | } |
| 1371 | } // anonymous namespace |
| 1372 | namespace { |
| 1373 | at::Tensor & wrapper_CompositeImplicitAutograd_out_absolute_out(const at::Tensor & self, at::Tensor & out) { |
| 1374 | // No device check |
| 1375 | // DeviceGuard omitted |
| 1376 | return at::native::absolute_out(self, out); |
| 1377 | } |
| 1378 | } // anonymous namespace |
| 1379 | namespace { |
| 1380 | at::Tensor & wrapper_CompositeImplicitAutograd__absolute_(at::Tensor & self) { |
| 1381 | // No device check |
| 1382 | // DeviceGuard omitted |
| 1383 | return at::native::absolute_(self); |
| 1384 | } |
| 1385 | } // anonymous namespace |
| 1386 | namespace { |
| 1387 | at::Tensor wrapper_CompositeImplicitAutograd__chalf(const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format) { |
| 1388 | // No device check |
| 1389 | // DeviceGuard omitted |
| 1390 | return at::native::chalf(self, memory_format); |
| 1391 | } |
| 1392 | } // anonymous namespace |
| 1393 | namespace { |
| 1394 | at::Tensor wrapper_CompositeImplicitAutograd__real(const at::Tensor & self) { |
| 1395 | // No device check |
| 1396 | // DeviceGuard omitted |
| 1397 | return at::native::real(self); |
| 1398 | } |
| 1399 | } // anonymous namespace |
| 1400 | namespace { |
| 1401 | at::Tensor wrapper_CompositeImplicitAutograd__imag(const at::Tensor & self) { |
| 1402 | // No device check |
| 1403 | // DeviceGuard omitted |
| 1404 | return at::native::imag(self); |
| 1405 | } |
| 1406 | } // anonymous namespace |
| 1407 | namespace { |
| 1408 | at::Tensor wrapper_CompositeImplicitAutograd__conj(const at::Tensor & self) { |
| 1409 | // No device check |
| 1410 | // DeviceGuard omitted |
| 1411 | return at::native::conj(self); |
| 1412 | } |
| 1413 | } // anonymous namespace |
| 1414 | namespace { |
| 1415 | at::Tensor wrapper_CompositeImplicitAutograd__conj_physical(const at::Tensor & self) { |
| 1416 | // No device check |
| 1417 | // DeviceGuard omitted |
| 1418 | return at::native::conj_physical(self); |
| 1419 | } |
| 1420 | } // anonymous namespace |
| 1421 | namespace { |
| 1422 | at::Tensor wrapper_CompositeImplicitAutograd__resolve_conj(const at::Tensor & self) { |
| 1423 | // No device check |
| 1424 | // DeviceGuard omitted |
| 1425 | return at::native::resolve_conj(self); |
| 1426 | } |
| 1427 | } // anonymous namespace |
| 1428 | namespace { |
| 1429 | at::Tensor wrapper_CompositeImplicitAutograd__resolve_neg(const at::Tensor & self) { |
| 1430 | // No device check |
| 1431 | // DeviceGuard omitted |
| 1432 | return at::native::resolve_neg(self); |
| 1433 | } |
| 1434 | } // anonymous namespace |
| 1435 | namespace { |
| 1436 | at::Tensor wrapper_CompositeImplicitAutograd__arccos(const at::Tensor & self) { |
| 1437 | // No device check |
| 1438 | // DeviceGuard omitted |
| 1439 | return at::native::arccos(self); |
| 1440 | } |
| 1441 | } // anonymous namespace |
| 1442 | namespace { |
| 1443 | at::Tensor & wrapper_CompositeImplicitAutograd_out_arccos_out(const at::Tensor & self, at::Tensor & out) { |
| 1444 | // No device check |
| 1445 | // DeviceGuard omitted |
| 1446 | return at::native::arccos_out(self, out); |
| 1447 | } |
| 1448 | } // anonymous namespace |
| 1449 | namespace { |
| 1450 | at::Tensor & wrapper_CompositeImplicitAutograd__arccos_(at::Tensor & self) { |
| 1451 | // No device check |
| 1452 | // DeviceGuard omitted |
| 1453 | return at::native::arccos_(self); |
| 1454 | } |
| 1455 | } // anonymous namespace |
| 1456 | namespace { |
| 1457 | at::Tensor wrapper_CompositeImplicitAutograd__avg_pool1d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad) { |
| 1458 | // No device check |
| 1459 | // DeviceGuard omitted |
| 1460 | return at::native::avg_pool1d(self, kernel_size, stride, padding, ceil_mode, count_include_pad); |
| 1461 | } |
| 1462 | } // anonymous namespace |
| 1463 | namespace { |
| 1464 | at::Tensor wrapper_CompositeImplicitAutograd__adaptive_avg_pool1d(const at::Tensor & self, at::IntArrayRef output_size) { |
| 1465 | // No device check |
| 1466 | // DeviceGuard omitted |
| 1467 | return at::native::adaptive_avg_pool1d(self, output_size); |
| 1468 | } |
| 1469 | } // anonymous namespace |
| 1470 | namespace { |
| 1471 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__adaptive_max_pool1d(const at::Tensor & self, at::IntArrayRef output_size) { |
| 1472 | // No device check |
| 1473 | // DeviceGuard omitted |
| 1474 | return at::native::adaptive_max_pool1d(self, output_size); |
| 1475 | } |
| 1476 | } // anonymous namespace |
| 1477 | namespace { |
| 1478 | at::Tensor wrapper_CompositeImplicitAutograd__affine_grid_generator_backward(const at::Tensor & grad, at::IntArrayRef size, bool align_corners) { |
| 1479 | // No device check |
| 1480 | // DeviceGuard omitted |
| 1481 | return at::native::affine_grid_generator_backward(grad, size, align_corners); |
| 1482 | } |
| 1483 | } // anonymous namespace |
| 1484 | namespace { |
| 1485 | at::Tensor wrapper_CompositeImplicitAutograd___test_check_tensor(const at::Tensor & self) { |
| 1486 | // No device check |
| 1487 | // DeviceGuard omitted |
| 1488 | return at::native::_test_check_tensor(self); |
| 1489 | } |
| 1490 | } // anonymous namespace |
| 1491 | namespace { |
| 1492 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_all(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 1493 | // No device check |
| 1494 | // DeviceGuard omitted |
| 1495 | return at::native::all(self, dim, keepdim); |
| 1496 | } |
| 1497 | } // anonymous namespace |
| 1498 | namespace { |
| 1499 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_out_all_out(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) { |
| 1500 | // No device check |
| 1501 | // DeviceGuard omitted |
| 1502 | return at::native::all_out(self, dim, keepdim, out); |
| 1503 | } |
| 1504 | } // anonymous namespace |
| 1505 | namespace { |
| 1506 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_any(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 1507 | // No device check |
| 1508 | // DeviceGuard omitted |
| 1509 | return at::native::any(self, dim, keepdim); |
| 1510 | } |
| 1511 | } // anonymous namespace |
| 1512 | namespace { |
| 1513 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_out_any_out(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) { |
| 1514 | // No device check |
| 1515 | // DeviceGuard omitted |
| 1516 | return at::native::any_out(self, dim, keepdim, out); |
| 1517 | } |
| 1518 | } // anonymous namespace |
| 1519 | namespace { |
| 1520 | at::Tensor wrapper_CompositeImplicitAutograd___dim_arange(const at::Tensor & like, int64_t dim) { |
| 1521 | // No device check |
| 1522 | // DeviceGuard omitted |
| 1523 | return at::native::_dim_arange(like, dim); |
| 1524 | } |
| 1525 | } // anonymous namespace |
| 1526 | namespace { |
| 1527 | at::Tensor wrapper_CompositeImplicitAutograd__arccosh(const at::Tensor & self) { |
| 1528 | // No device check |
| 1529 | // DeviceGuard omitted |
| 1530 | return at::native::arccosh(self); |
| 1531 | } |
| 1532 | } // anonymous namespace |
| 1533 | namespace { |
| 1534 | at::Tensor & wrapper_CompositeImplicitAutograd_out_arccosh_out(const at::Tensor & self, at::Tensor & out) { |
| 1535 | // No device check |
| 1536 | // DeviceGuard omitted |
| 1537 | return at::native::arccosh_out(self, out); |
| 1538 | } |
| 1539 | } // anonymous namespace |
| 1540 | namespace { |
| 1541 | at::Tensor & wrapper_CompositeImplicitAutograd__arccosh_(at::Tensor & self) { |
| 1542 | // No device check |
| 1543 | // DeviceGuard omitted |
| 1544 | return at::native::arccosh_(self); |
| 1545 | } |
| 1546 | } // anonymous namespace |
| 1547 | namespace { |
| 1548 | at::Tensor wrapper_CompositeImplicitAutograd__arcsinh(const at::Tensor & self) { |
| 1549 | // No device check |
| 1550 | // DeviceGuard omitted |
| 1551 | return at::native::arcsinh(self); |
| 1552 | } |
| 1553 | } // anonymous namespace |
| 1554 | namespace { |
| 1555 | at::Tensor & wrapper_CompositeImplicitAutograd_out_arcsinh_out(const at::Tensor & self, at::Tensor & out) { |
| 1556 | // No device check |
| 1557 | // DeviceGuard omitted |
| 1558 | return at::native::arcsinh_out(self, out); |
| 1559 | } |
| 1560 | } // anonymous namespace |
| 1561 | namespace { |
| 1562 | at::Tensor & wrapper_CompositeImplicitAutograd__arcsinh_(at::Tensor & self) { |
| 1563 | // No device check |
| 1564 | // DeviceGuard omitted |
| 1565 | return at::native::arcsinh_(self); |
| 1566 | } |
| 1567 | } // anonymous namespace |
| 1568 | namespace { |
| 1569 | at::Tensor wrapper_CompositeImplicitAutograd__arctanh(const at::Tensor & self) { |
| 1570 | // No device check |
| 1571 | // DeviceGuard omitted |
| 1572 | return at::native::arctanh(self); |
| 1573 | } |
| 1574 | } // anonymous namespace |
| 1575 | namespace { |
| 1576 | at::Tensor & wrapper_CompositeImplicitAutograd_out_arctanh_out(const at::Tensor & self, at::Tensor & out) { |
| 1577 | // No device check |
| 1578 | // DeviceGuard omitted |
| 1579 | return at::native::arctanh_out(self, out); |
| 1580 | } |
| 1581 | } // anonymous namespace |
| 1582 | namespace { |
| 1583 | at::Tensor & wrapper_CompositeImplicitAutograd__arctanh_(at::Tensor & self) { |
| 1584 | // No device check |
| 1585 | // DeviceGuard omitted |
| 1586 | return at::native::arctanh_(self); |
| 1587 | } |
| 1588 | } // anonymous namespace |
| 1589 | namespace { |
| 1590 | at::Tensor wrapper_CompositeImplicitAutograd__arcsin(const at::Tensor & self) { |
| 1591 | // No device check |
| 1592 | // DeviceGuard omitted |
| 1593 | return at::native::arcsin(self); |
| 1594 | } |
| 1595 | } // anonymous namespace |
| 1596 | namespace { |
| 1597 | at::Tensor & wrapper_CompositeImplicitAutograd_out_arcsin_out(const at::Tensor & self, at::Tensor & out) { |
| 1598 | // No device check |
| 1599 | // DeviceGuard omitted |
| 1600 | return at::native::arcsin_out(self, out); |
| 1601 | } |
| 1602 | } // anonymous namespace |
| 1603 | namespace { |
| 1604 | at::Tensor & wrapper_CompositeImplicitAutograd__arcsin_(at::Tensor & self) { |
| 1605 | // No device check |
| 1606 | // DeviceGuard omitted |
| 1607 | return at::native::arcsin_(self); |
| 1608 | } |
| 1609 | } // anonymous namespace |
| 1610 | namespace { |
| 1611 | at::Tensor wrapper_CompositeImplicitAutograd__arctan(const at::Tensor & self) { |
| 1612 | // No device check |
| 1613 | // DeviceGuard omitted |
| 1614 | return at::native::arctan(self); |
| 1615 | } |
| 1616 | } // anonymous namespace |
| 1617 | namespace { |
| 1618 | at::Tensor & wrapper_CompositeImplicitAutograd_out_arctan_out(const at::Tensor & self, at::Tensor & out) { |
| 1619 | // No device check |
| 1620 | // DeviceGuard omitted |
| 1621 | return at::native::arctan_out(self, out); |
| 1622 | } |
| 1623 | } // anonymous namespace |
| 1624 | namespace { |
| 1625 | at::Tensor & wrapper_CompositeImplicitAutograd__arctan_(at::Tensor & self) { |
| 1626 | // No device check |
| 1627 | // DeviceGuard omitted |
| 1628 | return at::native::arctan_(self); |
| 1629 | } |
| 1630 | } // anonymous namespace |
| 1631 | namespace { |
| 1632 | at::Tensor wrapper_CompositeImplicitAutograd__atleast_1d(const at::Tensor & self) { |
| 1633 | // No device check |
| 1634 | // DeviceGuard omitted |
| 1635 | return at::native::atleast_1d(self); |
| 1636 | } |
| 1637 | } // anonymous namespace |
| 1638 | namespace { |
| 1639 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_Sequence_atleast_1d(at::TensorList tensors) { |
| 1640 | // No device check |
| 1641 | // DeviceGuard omitted |
| 1642 | return at::native::atleast_1d(tensors); |
| 1643 | } |
| 1644 | } // anonymous namespace |
| 1645 | namespace { |
| 1646 | at::Tensor wrapper_CompositeImplicitAutograd__atleast_2d(const at::Tensor & self) { |
| 1647 | // No device check |
| 1648 | // DeviceGuard omitted |
| 1649 | return at::native::atleast_2d(self); |
| 1650 | } |
| 1651 | } // anonymous namespace |
| 1652 | namespace { |
| 1653 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_Sequence_atleast_2d(at::TensorList tensors) { |
| 1654 | // No device check |
| 1655 | // DeviceGuard omitted |
| 1656 | return at::native::atleast_2d(tensors); |
| 1657 | } |
| 1658 | } // anonymous namespace |
| 1659 | namespace { |
| 1660 | at::Tensor wrapper_CompositeImplicitAutograd__atleast_3d(const at::Tensor & self) { |
| 1661 | // No device check |
| 1662 | // DeviceGuard omitted |
| 1663 | return at::native::atleast_3d(self); |
| 1664 | } |
| 1665 | } // anonymous namespace |
| 1666 | namespace { |
| 1667 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_Sequence_atleast_3d(at::TensorList tensors) { |
| 1668 | // No device check |
| 1669 | // DeviceGuard omitted |
| 1670 | return at::native::atleast_3d(tensors); |
| 1671 | } |
| 1672 | } // anonymous namespace |
| 1673 | namespace { |
| 1674 | at::Tensor wrapper_CompositeImplicitAutograd__batch_norm(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) { |
| 1675 | // No device check |
| 1676 | // DeviceGuard omitted |
| 1677 | return at::native::batch_norm(input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled); |
| 1678 | } |
| 1679 | } // anonymous namespace |
| 1680 | namespace { |
| 1681 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> wrapper_CompositeImplicitAutograd___batch_norm_impl_index(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) { |
| 1682 | // No device check |
| 1683 | // DeviceGuard omitted |
| 1684 | return at::native::_batch_norm_impl_index(input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled); |
| 1685 | } |
| 1686 | } // anonymous namespace |
| 1687 | namespace { |
| 1688 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___batch_norm_impl_index_backward(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) { |
| 1689 | // No device check |
| 1690 | // DeviceGuard omitted |
| 1691 | return at::native::_batch_norm_impl_index_backward(impl_index, input, grad_output, weight, running_mean, running_var, save_mean, save_var_transform, train, eps, output_mask, reservedSpace); |
| 1692 | } |
| 1693 | } // anonymous namespace |
| 1694 | namespace { |
| 1695 | at::Tensor wrapper_CompositeImplicitAutograd__bilinear(const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & weight, const c10::optional<at::Tensor> & bias) { |
| 1696 | // No device check |
| 1697 | // DeviceGuard omitted |
| 1698 | return at::native::bilinear(input1, input2, weight, bias); |
| 1699 | } |
| 1700 | } // anonymous namespace |
| 1701 | namespace { |
| 1702 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__broadcast_tensors(at::TensorList tensors) { |
| 1703 | // No device check |
| 1704 | // DeviceGuard omitted |
| 1705 | return at::native::broadcast_tensors(tensors); |
| 1706 | } |
| 1707 | } // anonymous namespace |
| 1708 | namespace { |
| 1709 | at::Tensor wrapper_CompositeImplicitAutograd__broadcast_to(const at::Tensor & self, c10::SymIntArrayRef size) { |
| 1710 | // No device check |
| 1711 | // DeviceGuard omitted |
| 1712 | return at::native::broadcast_to_symint(self, size); |
| 1713 | } |
| 1714 | } // anonymous namespace |
| 1715 | namespace { |
| 1716 | at::Tensor wrapper_CompositeImplicitAutograd_names_cat(at::TensorList tensors, at::Dimname dim) { |
| 1717 | // No device check |
| 1718 | // DeviceGuard omitted |
| 1719 | return at::native::cat(tensors, dim); |
| 1720 | } |
| 1721 | } // anonymous namespace |
| 1722 | namespace { |
| 1723 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_cat_out(at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 1724 | // No device check |
| 1725 | // DeviceGuard omitted |
| 1726 | return at::native::cat_out(tensors, dim, out); |
| 1727 | } |
| 1728 | } // anonymous namespace |
| 1729 | namespace { |
| 1730 | at::Tensor wrapper_CompositeImplicitAutograd__concat(at::TensorList tensors, int64_t dim) { |
| 1731 | // No device check |
| 1732 | // DeviceGuard omitted |
| 1733 | return at::native::concat(tensors, dim); |
| 1734 | } |
| 1735 | } // anonymous namespace |
| 1736 | namespace { |
| 1737 | at::Tensor & wrapper_CompositeImplicitAutograd_out_concat_out(at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 1738 | // No device check |
| 1739 | // DeviceGuard omitted |
| 1740 | return at::native::concat_out(tensors, dim, out); |
| 1741 | } |
| 1742 | } // anonymous namespace |
| 1743 | namespace { |
| 1744 | at::Tensor wrapper_CompositeImplicitAutograd_names_concat(at::TensorList tensors, at::Dimname dim) { |
| 1745 | // No device check |
| 1746 | // DeviceGuard omitted |
| 1747 | return at::native::concat(tensors, dim); |
| 1748 | } |
| 1749 | } // anonymous namespace |
| 1750 | namespace { |
| 1751 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_concat_out(at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 1752 | // No device check |
| 1753 | // DeviceGuard omitted |
| 1754 | return at::native::concat_out(tensors, dim, out); |
| 1755 | } |
| 1756 | } // anonymous namespace |
| 1757 | namespace { |
| 1758 | at::Tensor wrapper_CompositeImplicitAutograd__concatenate(at::TensorList tensors, int64_t dim) { |
| 1759 | // No device check |
| 1760 | // DeviceGuard omitted |
| 1761 | return at::native::concatenate(tensors, dim); |
| 1762 | } |
| 1763 | } // anonymous namespace |
| 1764 | namespace { |
| 1765 | at::Tensor & wrapper_CompositeImplicitAutograd_out_concatenate_out(at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 1766 | // No device check |
| 1767 | // DeviceGuard omitted |
| 1768 | return at::native::concatenate_out(tensors, dim, out); |
| 1769 | } |
| 1770 | } // anonymous namespace |
| 1771 | namespace { |
| 1772 | at::Tensor wrapper_CompositeImplicitAutograd_names_concatenate(at::TensorList tensors, at::Dimname dim) { |
| 1773 | // No device check |
| 1774 | // DeviceGuard omitted |
| 1775 | return at::native::concatenate(tensors, dim); |
| 1776 | } |
| 1777 | } // anonymous namespace |
| 1778 | namespace { |
| 1779 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_concatenate_out(at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 1780 | // No device check |
| 1781 | // DeviceGuard omitted |
| 1782 | return at::native::concatenate_out(tensors, dim, out); |
| 1783 | } |
| 1784 | } // anonymous namespace |
| 1785 | namespace { |
| 1786 | at::Tensor wrapper_CompositeImplicitAutograd__chain_matmul(at::TensorList matrices) { |
| 1787 | // No device check |
| 1788 | // DeviceGuard omitted |
| 1789 | return at::native::chain_matmul(matrices); |
| 1790 | } |
| 1791 | } // anonymous namespace |
| 1792 | namespace { |
| 1793 | at::Tensor & wrapper_CompositeImplicitAutograd_out_chain_matmul_out(at::TensorList matrices, at::Tensor & out) { |
| 1794 | // No device check |
| 1795 | // DeviceGuard omitted |
| 1796 | return at::native::chain_matmul_out(matrices, out); |
| 1797 | } |
| 1798 | } // anonymous namespace |
| 1799 | namespace { |
| 1800 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__unsafe_chunk(const at::Tensor & self, int64_t chunks, int64_t dim) { |
| 1801 | // No device check |
| 1802 | // DeviceGuard omitted |
| 1803 | return at::native::unsafe_chunk(self, chunks, dim); |
| 1804 | } |
| 1805 | } // anonymous namespace |
| 1806 | namespace { |
| 1807 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__chunk(const at::Tensor & self, int64_t chunks, int64_t dim) { |
| 1808 | // No device check |
| 1809 | // DeviceGuard omitted |
| 1810 | return at::native::chunk(self, chunks, dim); |
| 1811 | } |
| 1812 | } // anonymous namespace |
| 1813 | namespace { |
| 1814 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_sections_tensor_split(const at::Tensor & self, c10::SymInt sections, int64_t dim) { |
| 1815 | // No device check |
| 1816 | // DeviceGuard omitted |
| 1817 | return at::native::tensor_split_sections_symint(self, sections, dim); |
| 1818 | } |
| 1819 | } // anonymous namespace |
| 1820 | namespace { |
| 1821 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_indices_tensor_split(const at::Tensor & self, c10::SymIntArrayRef indices, int64_t dim) { |
| 1822 | // No device check |
| 1823 | // DeviceGuard omitted |
| 1824 | return at::native::tensor_split_indices_symint(self, indices, dim); |
| 1825 | } |
| 1826 | } // anonymous namespace |
| 1827 | namespace { |
| 1828 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_tensor_indices_or_sections_tensor_split(const at::Tensor & self, const at::Tensor & tensor_indices_or_sections, int64_t dim) { |
| 1829 | // No device check |
| 1830 | // DeviceGuard omitted |
| 1831 | return at::native::tensor_split(self, tensor_indices_or_sections, dim); |
| 1832 | } |
| 1833 | } // anonymous namespace |
| 1834 | namespace { |
| 1835 | at::Tensor wrapper_CompositeImplicitAutograd__clip(const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) { |
| 1836 | // No device check |
| 1837 | // DeviceGuard omitted |
| 1838 | return at::native::clip(self, min, max); |
| 1839 | } |
| 1840 | } // anonymous namespace |
| 1841 | namespace { |
| 1842 | at::Tensor & wrapper_CompositeImplicitAutograd_out_clip_out(const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max, at::Tensor & out) { |
| 1843 | // No device check |
| 1844 | // DeviceGuard omitted |
| 1845 | return at::native::clip_out(self, min, max, out); |
| 1846 | } |
| 1847 | } // anonymous namespace |
| 1848 | namespace { |
| 1849 | at::Tensor & wrapper_CompositeImplicitAutograd__clip_(at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) { |
| 1850 | // No device check |
| 1851 | // DeviceGuard omitted |
| 1852 | return at::native::clip_(self, min, max); |
| 1853 | } |
| 1854 | } // anonymous namespace |
| 1855 | namespace { |
| 1856 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_clip(const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) { |
| 1857 | // No device check |
| 1858 | // DeviceGuard omitted |
| 1859 | return at::native::clip(self, min, max); |
| 1860 | } |
| 1861 | } // anonymous namespace |
| 1862 | namespace { |
| 1863 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_out_clip_out(const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max, at::Tensor & out) { |
| 1864 | // No device check |
| 1865 | // DeviceGuard omitted |
| 1866 | return at::native::clip_out(self, min, max, out); |
| 1867 | } |
| 1868 | } // anonymous namespace |
| 1869 | namespace { |
| 1870 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_clip_(at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) { |
| 1871 | // No device check |
| 1872 | // DeviceGuard omitted |
| 1873 | return at::native::clip_(self, min, max); |
| 1874 | } |
| 1875 | } // anonymous namespace |
| 1876 | namespace { |
| 1877 | bool wrapper_CompositeImplicitAutograd__cudnn_is_acceptable(const at::Tensor & self) { |
| 1878 | // No device check |
| 1879 | // DeviceGuard omitted |
| 1880 | return at::native::cudnn_is_acceptable(self); |
| 1881 | } |
| 1882 | } // anonymous namespace |
| 1883 | namespace { |
| 1884 | at::Tensor wrapper_CompositeImplicitAutograd__contiguous(const at::Tensor & self, at::MemoryFormat memory_format) { |
| 1885 | // No device check |
| 1886 | // DeviceGuard omitted |
| 1887 | return at::native::contiguous(self, memory_format); |
| 1888 | } |
| 1889 | } // anonymous namespace |
| 1890 | namespace { |
| 1891 | at::Tensor wrapper_CompositeImplicitAutograd_deprecated__convolution(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) { |
| 1892 | // No device check |
| 1893 | // DeviceGuard omitted |
| 1894 | return at::native::_convolution(input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled); |
| 1895 | } |
| 1896 | } // anonymous namespace |
| 1897 | namespace { |
| 1898 | at::Tensor wrapper_CompositeImplicitAutograd___convolution_mode(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) { |
| 1899 | // No device check |
| 1900 | // DeviceGuard omitted |
| 1901 | return at::native::_convolution_mode(input, weight, bias, stride, padding, dilation, groups); |
| 1902 | } |
| 1903 | } // anonymous namespace |
| 1904 | namespace { |
| 1905 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___convolution_double_backward(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) { |
| 1906 | // No device check |
| 1907 | // DeviceGuard omitted |
| 1908 | return at::native::_convolution_double_backward(ggI, ggW, ggb, gO, weight, self, stride, C10_AS_INTARRAYREF_SLOW(padding), dilation, transposed, C10_AS_INTARRAYREF_SLOW(output_padding), groups, output_mask); |
| 1909 | } |
| 1910 | } // anonymous namespace |
| 1911 | namespace { |
| 1912 | at::Tensor wrapper_CompositeImplicitAutograd__conv1d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 1913 | // No device check |
| 1914 | // DeviceGuard omitted |
| 1915 | return at::native::conv1d(input, weight, bias, stride, padding, dilation, groups); |
| 1916 | } |
| 1917 | } // anonymous namespace |
| 1918 | namespace { |
| 1919 | at::Tensor wrapper_CompositeImplicitAutograd__conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 1920 | // No device check |
| 1921 | // DeviceGuard omitted |
| 1922 | return at::native::conv2d(input, weight, bias, stride, padding, dilation, groups); |
| 1923 | } |
| 1924 | } // anonymous namespace |
| 1925 | namespace { |
| 1926 | at::Tensor wrapper_CompositeImplicitAutograd__conv3d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 1927 | // No device check |
| 1928 | // DeviceGuard omitted |
| 1929 | return at::native::conv3d(input, weight, bias, stride, padding, dilation, groups); |
| 1930 | } |
| 1931 | } // anonymous namespace |
| 1932 | namespace { |
| 1933 | at::Tensor wrapper_CompositeImplicitAutograd_padding_conv1d(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) { |
| 1934 | // No device check |
| 1935 | // DeviceGuard omitted |
| 1936 | return at::native::conv1d(input, weight, bias, stride, padding, dilation, groups); |
| 1937 | } |
| 1938 | } // anonymous namespace |
| 1939 | namespace { |
| 1940 | at::Tensor wrapper_CompositeImplicitAutograd_padding_conv2d(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) { |
| 1941 | // No device check |
| 1942 | // DeviceGuard omitted |
| 1943 | return at::native::conv2d(input, weight, bias, stride, padding, dilation, groups); |
| 1944 | } |
| 1945 | } // anonymous namespace |
| 1946 | namespace { |
| 1947 | at::Tensor wrapper_CompositeImplicitAutograd_padding_conv3d(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) { |
| 1948 | // No device check |
| 1949 | // DeviceGuard omitted |
| 1950 | return at::native::conv3d(input, weight, bias, stride, padding, dilation, groups); |
| 1951 | } |
| 1952 | } // anonymous namespace |
| 1953 | namespace { |
| 1954 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__conv_tbc_backward(const at::Tensor & self, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & bias, int64_t pad) { |
| 1955 | // No device check |
| 1956 | // DeviceGuard omitted |
| 1957 | return at::native::conv_tbc_backward(self, input, weight, bias, pad); |
| 1958 | } |
| 1959 | } // anonymous namespace |
| 1960 | namespace { |
| 1961 | at::Tensor wrapper_CompositeImplicitAutograd__conv_transpose1d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, int64_t groups, at::IntArrayRef dilation) { |
| 1962 | // No device check |
| 1963 | // DeviceGuard omitted |
| 1964 | return at::native::conv_transpose1d(input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 1965 | } |
| 1966 | } // anonymous namespace |
| 1967 | namespace { |
| 1968 | at::Tensor wrapper_CompositeImplicitAutograd_input_conv_transpose2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, int64_t groups, at::IntArrayRef dilation) { |
| 1969 | // No device check |
| 1970 | // DeviceGuard omitted |
| 1971 | return at::native::conv_transpose2d(input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 1972 | } |
| 1973 | } // anonymous namespace |
| 1974 | namespace { |
| 1975 | at::Tensor wrapper_CompositeImplicitAutograd_input_conv_transpose3d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, int64_t groups, at::IntArrayRef dilation) { |
| 1976 | // No device check |
| 1977 | // DeviceGuard omitted |
| 1978 | return at::native::conv_transpose3d(input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 1979 | } |
| 1980 | } // anonymous namespace |
| 1981 | namespace { |
| 1982 | at::Tensor wrapper_CompositeImplicitAutograd__cosine_embedding_loss(const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin, int64_t reduction) { |
| 1983 | // No device check |
| 1984 | // DeviceGuard omitted |
| 1985 | return at::native::cosine_embedding_loss(input1, input2, target, margin, reduction); |
| 1986 | } |
| 1987 | } // anonymous namespace |
| 1988 | namespace { |
| 1989 | at::Tensor wrapper_CompositeImplicitAutograd__cov(const at::Tensor & self, int64_t correction, const c10::optional<at::Tensor> & fweights, const c10::optional<at::Tensor> & aweights) { |
| 1990 | // No device check |
| 1991 | // DeviceGuard omitted |
| 1992 | return at::native::cov(self, correction, fweights, aweights); |
| 1993 | } |
| 1994 | } // anonymous namespace |
| 1995 | namespace { |
| 1996 | at::Tensor wrapper_CompositeImplicitAutograd__corrcoef(const at::Tensor & self) { |
| 1997 | // No device check |
| 1998 | // DeviceGuard omitted |
| 1999 | return at::native::corrcoef(self); |
| 2000 | } |
| 2001 | } // anonymous namespace |
| 2002 | namespace { |
| 2003 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dimname_cummax(const at::Tensor & self, at::Dimname dim) { |
| 2004 | // No device check |
| 2005 | // DeviceGuard omitted |
| 2006 | return at::native::cummax(self, dim); |
| 2007 | } |
| 2008 | } // anonymous namespace |
| 2009 | namespace { |
| 2010 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_dimname_out_cummax_out(const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) { |
| 2011 | // No device check |
| 2012 | // DeviceGuard omitted |
| 2013 | return at::native::cummax_out(self, dim, values, indices); |
| 2014 | } |
| 2015 | } // anonymous namespace |
| 2016 | namespace { |
| 2017 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dimname_cummin(const at::Tensor & self, at::Dimname dim) { |
| 2018 | // No device check |
| 2019 | // DeviceGuard omitted |
| 2020 | return at::native::cummin(self, dim); |
| 2021 | } |
| 2022 | } // anonymous namespace |
| 2023 | namespace { |
| 2024 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_dimname_out_cummin_out(const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) { |
| 2025 | // No device check |
| 2026 | // DeviceGuard omitted |
| 2027 | return at::native::cummin_out(self, dim, values, indices); |
| 2028 | } |
| 2029 | } // anonymous namespace |
| 2030 | namespace { |
| 2031 | at::Tensor wrapper_CompositeImplicitAutograd__cummaxmin_backward(const at::Tensor & grad, const at::Tensor & input, const at::Tensor & indices, int64_t dim) { |
| 2032 | // No device check |
| 2033 | // DeviceGuard omitted |
| 2034 | return at::native::cummaxmin_backward(grad, input, indices, dim); |
| 2035 | } |
| 2036 | } // anonymous namespace |
| 2037 | namespace { |
| 2038 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_cumprod(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 2039 | // No device check |
| 2040 | // DeviceGuard omitted |
| 2041 | return at::native::cumprod(self, dim, dtype); |
| 2042 | } |
| 2043 | } // anonymous namespace |
| 2044 | namespace { |
| 2045 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_out_cumprod_out(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2046 | // No device check |
| 2047 | // DeviceGuard omitted |
| 2048 | return at::native::cumprod_out(self, dim, dtype, out); |
| 2049 | } |
| 2050 | } // anonymous namespace |
| 2051 | namespace { |
| 2052 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_cumprod_(at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 2053 | // No device check |
| 2054 | // DeviceGuard omitted |
| 2055 | return at::native::cumprod_(self, dim, dtype); |
| 2056 | } |
| 2057 | } // anonymous namespace |
| 2058 | namespace { |
| 2059 | at::Tensor wrapper_CompositeImplicitAutograd__cumprod_backward(const at::Tensor & grad, const at::Tensor & input, int64_t dim, const at::Tensor & output) { |
| 2060 | // No device check |
| 2061 | // DeviceGuard omitted |
| 2062 | return at::native::cumprod_backward(grad, input, dim, output); |
| 2063 | } |
| 2064 | } // anonymous namespace |
| 2065 | namespace { |
| 2066 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_cumsum(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 2067 | // No device check |
| 2068 | // DeviceGuard omitted |
| 2069 | return at::native::cumsum(self, dim, dtype); |
| 2070 | } |
| 2071 | } // anonymous namespace |
| 2072 | namespace { |
| 2073 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_out_cumsum_out(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2074 | // No device check |
| 2075 | // DeviceGuard omitted |
| 2076 | return at::native::cumsum_out(self, dim, dtype, out); |
| 2077 | } |
| 2078 | } // anonymous namespace |
| 2079 | namespace { |
| 2080 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_cumsum_(at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 2081 | // No device check |
| 2082 | // DeviceGuard omitted |
| 2083 | return at::native::cumsum_(self, dim, dtype); |
| 2084 | } |
| 2085 | } // anonymous namespace |
| 2086 | namespace { |
| 2087 | at::Tensor wrapper_CompositeImplicitAutograd_x_cumulative_trapezoid(const at::Tensor & y, const at::Tensor & x, int64_t dim) { |
| 2088 | // No device check |
| 2089 | // DeviceGuard omitted |
| 2090 | return at::native::cumulative_trapezoid(y, x, dim); |
| 2091 | } |
| 2092 | } // anonymous namespace |
| 2093 | namespace { |
| 2094 | at::Tensor wrapper_CompositeImplicitAutograd_dx_cumulative_trapezoid(const at::Tensor & y, const at::Scalar & dx, int64_t dim) { |
| 2095 | // No device check |
| 2096 | // DeviceGuard omitted |
| 2097 | return at::native::cumulative_trapezoid(y, dx, dim); |
| 2098 | } |
| 2099 | } // anonymous namespace |
| 2100 | namespace { |
| 2101 | at::Tensor wrapper_CompositeImplicitAutograd_IntList_ctc_loss(const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank, int64_t reduction, bool zero_infinity) { |
| 2102 | // No device check |
| 2103 | // DeviceGuard omitted |
| 2104 | return at::native::ctc_loss(log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity); |
| 2105 | } |
| 2106 | } // anonymous namespace |
| 2107 | namespace { |
| 2108 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_ctc_loss(const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank, int64_t reduction, bool zero_infinity) { |
| 2109 | // No device check |
| 2110 | // DeviceGuard omitted |
| 2111 | return at::native::ctc_loss(log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity); |
| 2112 | } |
| 2113 | } // anonymous namespace |
| 2114 | namespace { |
| 2115 | at::Tensor wrapper_CompositeImplicitAutograd__diagflat(const at::Tensor & self, int64_t offset) { |
| 2116 | // No device check |
| 2117 | // DeviceGuard omitted |
| 2118 | return at::native::diagflat(self, offset); |
| 2119 | } |
| 2120 | } // anonymous namespace |
| 2121 | namespace { |
| 2122 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_diagonal(const at::Tensor & A, int64_t offset, int64_t dim1, int64_t dim2) { |
| 2123 | // No device check |
| 2124 | // DeviceGuard omitted |
| 2125 | return at::native::linalg_diagonal(A, offset, dim1, dim2); |
| 2126 | } |
| 2127 | } // anonymous namespace |
| 2128 | namespace { |
| 2129 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_diagonal(const at::Tensor & self, at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset) { |
| 2130 | // No device check |
| 2131 | // DeviceGuard omitted |
| 2132 | return at::native::diagonal(self, outdim, dim1, dim2, offset); |
| 2133 | } |
| 2134 | } // anonymous namespace |
| 2135 | namespace { |
| 2136 | at::Tensor & wrapper_CompositeImplicitAutograd__fill_diagonal_(at::Tensor & self, const at::Scalar & fill_value, bool wrap) { |
| 2137 | // No device check |
| 2138 | // DeviceGuard omitted |
| 2139 | return at::native::fill_diagonal_(self, fill_value, wrap); |
| 2140 | } |
| 2141 | } // anonymous namespace |
| 2142 | namespace { |
| 2143 | at::Tensor wrapper_CompositeImplicitAutograd__diff(const at::Tensor & self, int64_t n, int64_t dim, const c10::optional<at::Tensor> & prepend, const c10::optional<at::Tensor> & append) { |
| 2144 | // No device check |
| 2145 | // DeviceGuard omitted |
| 2146 | return at::native::diff(self, n, dim, prepend, append); |
| 2147 | } |
| 2148 | } // anonymous namespace |
| 2149 | namespace { |
| 2150 | at::Tensor & wrapper_CompositeImplicitAutograd_out_diff_out(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) { |
| 2151 | // No device check |
| 2152 | // DeviceGuard omitted |
| 2153 | return at::native::diff_out(self, n, dim, prepend, append, out); |
| 2154 | } |
| 2155 | } // anonymous namespace |
| 2156 | namespace { |
| 2157 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_scalarint_gradient(const at::Tensor & self, const c10::optional<at::Scalar> & spacing, c10::optional<int64_t> dim, int64_t edge_order) { |
| 2158 | // No device check |
| 2159 | // DeviceGuard omitted |
| 2160 | return at::native::gradient(self, spacing, dim, edge_order); |
| 2161 | } |
| 2162 | } // anonymous namespace |
| 2163 | namespace { |
| 2164 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_scalararray_gradient(const at::Tensor & self, const at::Scalar & spacing, at::IntArrayRef dim, int64_t edge_order) { |
| 2165 | // No device check |
| 2166 | // DeviceGuard omitted |
| 2167 | return at::native::gradient(self, spacing, dim, edge_order); |
| 2168 | } |
| 2169 | } // anonymous namespace |
| 2170 | namespace { |
| 2171 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_array_gradient(const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order) { |
| 2172 | // No device check |
| 2173 | // DeviceGuard omitted |
| 2174 | return at::native::gradient(self, dim, edge_order); |
| 2175 | } |
| 2176 | } // anonymous namespace |
| 2177 | namespace { |
| 2178 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_scalarrayint_gradient(const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, c10::optional<int64_t> dim, int64_t edge_order) { |
| 2179 | // No device check |
| 2180 | // DeviceGuard omitted |
| 2181 | return at::native::gradient(self, spacing, dim, edge_order); |
| 2182 | } |
| 2183 | } // anonymous namespace |
| 2184 | namespace { |
| 2185 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_scalarrayarray_gradient(const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, at::IntArrayRef dim, int64_t edge_order) { |
| 2186 | // No device check |
| 2187 | // DeviceGuard omitted |
| 2188 | return at::native::gradient(self, spacing, dim, edge_order); |
| 2189 | } |
| 2190 | } // anonymous namespace |
| 2191 | namespace { |
| 2192 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_tensorarrayint_gradient(const at::Tensor & self, at::TensorList spacing, c10::optional<int64_t> dim, int64_t edge_order) { |
| 2193 | // No device check |
| 2194 | // DeviceGuard omitted |
| 2195 | return at::native::gradient(self, spacing, dim, edge_order); |
| 2196 | } |
| 2197 | } // anonymous namespace |
| 2198 | namespace { |
| 2199 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_tensorarray_gradient(const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order) { |
| 2200 | // No device check |
| 2201 | // DeviceGuard omitted |
| 2202 | return at::native::gradient(self, spacing, dim, edge_order); |
| 2203 | } |
| 2204 | } // anonymous namespace |
| 2205 | namespace { |
| 2206 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_divide(const at::Tensor & self, const at::Tensor & other) { |
| 2207 | // No device check |
| 2208 | // DeviceGuard omitted |
| 2209 | return at::native::divide(self, other); |
| 2210 | } |
| 2211 | } // anonymous namespace |
| 2212 | namespace { |
| 2213 | at::Tensor & wrapper_CompositeImplicitAutograd_out_divide_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2214 | // No device check |
| 2215 | // DeviceGuard omitted |
| 2216 | return at::native::divide_out(self, other, out); |
| 2217 | } |
| 2218 | } // anonymous namespace |
| 2219 | namespace { |
| 2220 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_divide_(at::Tensor & self, const at::Tensor & other) { |
| 2221 | // No device check |
| 2222 | // DeviceGuard omitted |
| 2223 | return at::native::divide_(self, other); |
| 2224 | } |
| 2225 | } // anonymous namespace |
| 2226 | namespace { |
| 2227 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_divide(const at::Tensor & self, const at::Scalar & other) { |
| 2228 | // No device check |
| 2229 | // DeviceGuard omitted |
| 2230 | return at::native::divide(self, other); |
| 2231 | } |
| 2232 | } // anonymous namespace |
| 2233 | namespace { |
| 2234 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_divide_(at::Tensor & self, const at::Scalar & other) { |
| 2235 | // No device check |
| 2236 | // DeviceGuard omitted |
| 2237 | return at::native::divide_(self, other); |
| 2238 | } |
| 2239 | } // anonymous namespace |
| 2240 | namespace { |
| 2241 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_mode_divide(const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2242 | // No device check |
| 2243 | // DeviceGuard omitted |
| 2244 | return at::native::divide(self, other, rounding_mode); |
| 2245 | } |
| 2246 | } // anonymous namespace |
| 2247 | namespace { |
| 2248 | at::Tensor & wrapper_CompositeImplicitAutograd_out_mode_divide_out(const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode, at::Tensor & out) { |
| 2249 | // No device check |
| 2250 | // DeviceGuard omitted |
| 2251 | return at::native::divide_out(self, other, rounding_mode, out); |
| 2252 | } |
| 2253 | } // anonymous namespace |
| 2254 | namespace { |
| 2255 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_mode_divide_(at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 2256 | // No device check |
| 2257 | // DeviceGuard omitted |
| 2258 | return at::native::divide_(self, other, rounding_mode); |
| 2259 | } |
| 2260 | } // anonymous namespace |
| 2261 | namespace { |
| 2262 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_mode_divide(const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 2263 | // No device check |
| 2264 | // DeviceGuard omitted |
| 2265 | return at::native::divide(self, other, rounding_mode); |
| 2266 | } |
| 2267 | } // anonymous namespace |
| 2268 | namespace { |
| 2269 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_mode_divide_(at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 2270 | // No device check |
| 2271 | // DeviceGuard omitted |
| 2272 | return at::native::divide_(self, other, rounding_mode); |
| 2273 | } |
| 2274 | } // anonymous namespace |
| 2275 | namespace { |
| 2276 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_true_divide(const at::Tensor & self, const at::Tensor & other) { |
| 2277 | // No device check |
| 2278 | // DeviceGuard omitted |
| 2279 | return at::native::true_divide(self, other); |
| 2280 | } |
| 2281 | } // anonymous namespace |
| 2282 | namespace { |
| 2283 | at::Tensor & wrapper_CompositeImplicitAutograd_out_true_divide_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2284 | // No device check |
| 2285 | // DeviceGuard omitted |
| 2286 | return at::native::true_divide_out(self, other, out); |
| 2287 | } |
| 2288 | } // anonymous namespace |
| 2289 | namespace { |
| 2290 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_true_divide_(at::Tensor & self, const at::Tensor & other) { |
| 2291 | // No device check |
| 2292 | // DeviceGuard omitted |
| 2293 | return at::native::true_divide_(self, other); |
| 2294 | } |
| 2295 | } // anonymous namespace |
| 2296 | namespace { |
| 2297 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_true_divide(const at::Tensor & self, const at::Scalar & other) { |
| 2298 | // No device check |
| 2299 | // DeviceGuard omitted |
| 2300 | return at::native::true_divide(self, other); |
| 2301 | } |
| 2302 | } // anonymous namespace |
| 2303 | namespace { |
| 2304 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_true_divide_(at::Tensor & self, const at::Scalar & other) { |
| 2305 | // No device check |
| 2306 | // DeviceGuard omitted |
| 2307 | return at::native::true_divide_(self, other); |
| 2308 | } |
| 2309 | } // anonymous namespace |
| 2310 | namespace { |
| 2311 | at::Tensor wrapper_CompositeImplicitAutograd__einsum(c10::string_view equation, at::TensorList tensors, at::OptionalIntArrayRef path) { |
| 2312 | // No device check |
| 2313 | // DeviceGuard omitted |
| 2314 | return at::native::einsum(equation, tensors, path); |
| 2315 | } |
| 2316 | } // anonymous namespace |
| 2317 | namespace { |
| 2318 | at::Tensor wrapper_CompositeImplicitAutograd__embedding_backward(const at::Tensor & grad, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse) { |
| 2319 | // No device check |
| 2320 | // DeviceGuard omitted |
| 2321 | return at::native::embedding_backward_symint(grad, indices, num_weights, padding_idx, scale_grad_by_freq, sparse); |
| 2322 | } |
| 2323 | } // anonymous namespace |
| 2324 | namespace { |
| 2325 | at::Tensor wrapper_CompositeImplicitAutograd__embedding_sparse_backward(const at::Tensor & grad, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) { |
| 2326 | // No device check |
| 2327 | // DeviceGuard omitted |
| 2328 | return at::native::embedding_sparse_backward(grad, indices, num_weights, padding_idx, scale_grad_by_freq); |
| 2329 | } |
| 2330 | } // anonymous namespace |
| 2331 | namespace { |
| 2332 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___rowwise_prune(const at::Tensor & weight, const at::Tensor & mask, at::ScalarType compressed_indices_dtype) { |
| 2333 | // No device check |
| 2334 | // DeviceGuard omitted |
| 2335 | return at::native::_rowwise_prune(weight, mask, compressed_indices_dtype); |
| 2336 | } |
| 2337 | } // anonymous namespace |
| 2338 | namespace { |
| 2339 | at::Tensor wrapper_CompositeImplicitAutograd__row_stack(at::TensorList tensors) { |
| 2340 | // No device check |
| 2341 | // DeviceGuard omitted |
| 2342 | return at::native::row_stack(tensors); |
| 2343 | } |
| 2344 | } // anonymous namespace |
| 2345 | namespace { |
| 2346 | at::Tensor & wrapper_CompositeImplicitAutograd_out_row_stack_out(at::TensorList tensors, at::Tensor & out) { |
| 2347 | // No device check |
| 2348 | // DeviceGuard omitted |
| 2349 | return at::native::row_stack_out(tensors, out); |
| 2350 | } |
| 2351 | } // anonymous namespace |
| 2352 | namespace { |
| 2353 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__embedding_bag(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) { |
| 2354 | // No device check |
| 2355 | // DeviceGuard omitted |
| 2356 | return at::native::embedding_bag(weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset); |
| 2357 | } |
| 2358 | } // anonymous namespace |
| 2359 | namespace { |
| 2360 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_padding_idx_embedding_bag(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) { |
| 2361 | // No device check |
| 2362 | // DeviceGuard omitted |
| 2363 | return at::native::embedding_bag(weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx); |
| 2364 | } |
| 2365 | } // anonymous namespace |
| 2366 | namespace { |
| 2367 | at::Tensor wrapper_CompositeImplicitAutograd___embedding_bag_backward(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) { |
| 2368 | // No device check |
| 2369 | // DeviceGuard omitted |
| 2370 | return at::native::_embedding_bag_backward_symint(grad, indices, offsets, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, sparse, per_sample_weights, padding_idx); |
| 2371 | } |
| 2372 | } // anonymous namespace |
| 2373 | namespace { |
| 2374 | at::Tensor wrapper_CompositeImplicitAutograd___embedding_bag_sparse_backward(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) { |
| 2375 | // No device check |
| 2376 | // DeviceGuard omitted |
| 2377 | return at::native::_embedding_bag_sparse_backward_symint(grad, indices, offsets, offset2bag, bag_size, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx); |
| 2378 | } |
| 2379 | } // anonymous namespace |
| 2380 | namespace { |
| 2381 | at::Tensor & wrapper_CompositeImplicitAutograd_out_empty_out(c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 2382 | // No device check |
| 2383 | // DeviceGuard omitted |
| 2384 | return at::native::empty_out(C10_AS_INTARRAYREF_SLOW(size), memory_format, out); |
| 2385 | } |
| 2386 | } // anonymous namespace |
| 2387 | namespace { |
| 2388 | at::Tensor wrapper_CompositeImplicitAutograd__expand_as(const at::Tensor & self, const at::Tensor & other) { |
| 2389 | // No device check |
| 2390 | // DeviceGuard omitted |
| 2391 | return at::native::expand_as(self, other); |
| 2392 | } |
| 2393 | } // anonymous namespace |
| 2394 | namespace { |
| 2395 | at::Tensor wrapper_CompositeImplicitAutograd_using_ints_flatten(const at::Tensor & self, int64_t start_dim, int64_t end_dim) { |
| 2396 | // No device check |
| 2397 | // DeviceGuard omitted |
| 2398 | return at::native::flatten(self, start_dim, end_dim); |
| 2399 | } |
| 2400 | } // anonymous namespace |
| 2401 | namespace { |
| 2402 | at::Tensor wrapper_CompositeImplicitAutograd_named_out_dim_flatten(const at::Tensor & self, int64_t start_dim, int64_t end_dim, at::Dimname out_dim) { |
| 2403 | // No device check |
| 2404 | // DeviceGuard omitted |
| 2405 | return at::native::flatten(self, start_dim, end_dim, out_dim); |
| 2406 | } |
| 2407 | } // anonymous namespace |
| 2408 | namespace { |
| 2409 | at::Tensor wrapper_CompositeImplicitAutograd_using_names_flatten(const at::Tensor & self, at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim) { |
| 2410 | // No device check |
| 2411 | // DeviceGuard omitted |
| 2412 | return at::native::flatten(self, start_dim, end_dim, out_dim); |
| 2413 | } |
| 2414 | } // anonymous namespace |
| 2415 | namespace { |
| 2416 | at::Tensor wrapper_CompositeImplicitAutograd_DimnameList_flatten(const at::Tensor & self, at::DimnameList dims, at::Dimname out_dim) { |
| 2417 | // No device check |
| 2418 | // DeviceGuard omitted |
| 2419 | return at::native::flatten(self, dims, out_dim); |
| 2420 | } |
| 2421 | } // anonymous namespace |
| 2422 | namespace { |
| 2423 | at::Tensor wrapper_CompositeImplicitAutograd_int_unflatten(const at::Tensor & self, int64_t dim, at::IntArrayRef sizes) { |
| 2424 | // No device check |
| 2425 | // DeviceGuard omitted |
| 2426 | return at::native::unflatten(self, dim, sizes); |
| 2427 | } |
| 2428 | } // anonymous namespace |
| 2429 | namespace { |
| 2430 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_unflatten(const at::Tensor & self, at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names) { |
| 2431 | // No device check |
| 2432 | // DeviceGuard omitted |
| 2433 | return at::native::unflatten(self, dim, sizes, names); |
| 2434 | } |
| 2435 | } // anonymous namespace |
| 2436 | namespace { |
| 2437 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_floor_divide(const at::Tensor & self, const at::Scalar & other) { |
| 2438 | // No device check |
| 2439 | // DeviceGuard omitted |
| 2440 | return at::native::floor_divide(self, other); |
| 2441 | } |
| 2442 | } // anonymous namespace |
| 2443 | namespace { |
| 2444 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_floor_divide_(at::Tensor & self, const at::Scalar & other) { |
| 2445 | // No device check |
| 2446 | // DeviceGuard omitted |
| 2447 | return at::native::floor_divide_(self, other); |
| 2448 | } |
| 2449 | } // anonymous namespace |
| 2450 | namespace { |
| 2451 | at::Tensor wrapper_CompositeImplicitAutograd__grid_sampler(const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 2452 | // No device check |
| 2453 | // DeviceGuard omitted |
| 2454 | return at::native::grid_sampler(input, grid, interpolation_mode, padding_mode, align_corners); |
| 2455 | } |
| 2456 | } // anonymous namespace |
| 2457 | namespace { |
| 2458 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___grid_sampler_2d_cpu_fallback_backward(const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 2459 | // No device check |
| 2460 | // DeviceGuard omitted |
| 2461 | return at::native::_grid_sampler_2d_cpu_fallback_backward(grad_output, input, grid, interpolation_mode, padding_mode, align_corners); |
| 2462 | } |
| 2463 | } // anonymous namespace |
| 2464 | namespace { |
| 2465 | at::Tensor wrapper_CompositeImplicitAutograd__hinge_embedding_loss(const at::Tensor & self, const at::Tensor & target, double margin, int64_t reduction) { |
| 2466 | // No device check |
| 2467 | // DeviceGuard omitted |
| 2468 | return at::native::hinge_embedding_loss(self, target, margin, reduction); |
| 2469 | } |
| 2470 | } // anonymous namespace |
| 2471 | namespace { |
| 2472 | at::Tensor wrapper_CompositeImplicitAutograd__group_norm(const at::Tensor & input, int64_t num_groups, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps, bool cudnn_enabled) { |
| 2473 | // No device check |
| 2474 | // DeviceGuard omitted |
| 2475 | return at::native::group_norm(input, num_groups, weight, bias, eps, cudnn_enabled); |
| 2476 | } |
| 2477 | } // anonymous namespace |
| 2478 | namespace { |
| 2479 | int64_t wrapper_CompositeImplicitAutograd___cufft_get_plan_cache_size(int64_t device_index) { |
| 2480 | // No device check |
| 2481 | // DeviceGuard omitted |
| 2482 | return at::native::_cufft_get_plan_cache_size(device_index); |
| 2483 | } |
| 2484 | } // anonymous namespace |
| 2485 | namespace { |
| 2486 | int64_t wrapper_CompositeImplicitAutograd___cufft_get_plan_cache_max_size(int64_t device_index) { |
| 2487 | // No device check |
| 2488 | // DeviceGuard omitted |
| 2489 | return at::native::_cufft_get_plan_cache_max_size(device_index); |
| 2490 | } |
| 2491 | } // anonymous namespace |
| 2492 | namespace { |
| 2493 | void wrapper_CompositeImplicitAutograd___cufft_set_plan_cache_max_size(int64_t device_index, int64_t max_size) { |
| 2494 | // No device check |
| 2495 | // DeviceGuard omitted |
| 2496 | return at::native::_cufft_set_plan_cache_max_size(device_index, max_size); |
| 2497 | } |
| 2498 | } // anonymous namespace |
| 2499 | namespace { |
| 2500 | void wrapper_CompositeImplicitAutograd___cufft_clear_plan_cache(int64_t device_index) { |
| 2501 | // No device check |
| 2502 | // DeviceGuard omitted |
| 2503 | return at::native::_cufft_clear_plan_cache(device_index); |
| 2504 | } |
| 2505 | } // anonymous namespace |
| 2506 | namespace { |
| 2507 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_index_copy_(at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) { |
| 2508 | // No device check |
| 2509 | // DeviceGuard omitted |
| 2510 | return at::native::index_copy_(self, dim, index, source); |
| 2511 | } |
| 2512 | } // anonymous namespace |
| 2513 | namespace { |
| 2514 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_index_copy(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) { |
| 2515 | // No device check |
| 2516 | // DeviceGuard omitted |
| 2517 | return at::native::index_copy(self, dim, index, source); |
| 2518 | } |
| 2519 | } // anonymous namespace |
| 2520 | namespace { |
| 2521 | at::Tensor wrapper_CompositeImplicitAutograd__instance_norm(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) { |
| 2522 | // No device check |
| 2523 | // DeviceGuard omitted |
| 2524 | return at::native::instance_norm(input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, cudnn_enabled); |
| 2525 | } |
| 2526 | } // anonymous namespace |
| 2527 | namespace { |
| 2528 | at::Tensor wrapper_CompositeImplicitAutograd__isclose(const at::Tensor & self, const at::Tensor & other, double rtol, double atol, bool equal_nan) { |
| 2529 | // No device check |
| 2530 | // DeviceGuard omitted |
| 2531 | return at::native::isclose(self, other, rtol, atol, equal_nan); |
| 2532 | } |
| 2533 | } // anonymous namespace |
| 2534 | namespace { |
| 2535 | bool wrapper_CompositeImplicitAutograd__is_distributed(const at::Tensor & self) { |
| 2536 | // No device check |
| 2537 | // DeviceGuard omitted |
| 2538 | return at::native::is_distributed(self); |
| 2539 | } |
| 2540 | } // anonymous namespace |
| 2541 | namespace { |
| 2542 | bool wrapper_CompositeImplicitAutograd__is_floating_point(const at::Tensor & self) { |
| 2543 | // No device check |
| 2544 | // DeviceGuard omitted |
| 2545 | return at::native::is_floating_point(self); |
| 2546 | } |
| 2547 | } // anonymous namespace |
| 2548 | namespace { |
| 2549 | bool wrapper_CompositeImplicitAutograd__is_complex(const at::Tensor & self) { |
| 2550 | // No device check |
| 2551 | // DeviceGuard omitted |
| 2552 | return at::native::is_complex(self); |
| 2553 | } |
| 2554 | } // anonymous namespace |
| 2555 | namespace { |
| 2556 | bool wrapper_CompositeImplicitAutograd__is_conj(const at::Tensor & self) { |
| 2557 | // No device check |
| 2558 | // DeviceGuard omitted |
| 2559 | return at::native::is_conj(self); |
| 2560 | } |
| 2561 | } // anonymous namespace |
| 2562 | namespace { |
| 2563 | bool wrapper_CompositeImplicitAutograd___is_zerotensor(const at::Tensor & self) { |
| 2564 | // No device check |
| 2565 | // DeviceGuard omitted |
| 2566 | return at::native::_is_zerotensor(self); |
| 2567 | } |
| 2568 | } // anonymous namespace |
| 2569 | namespace { |
| 2570 | bool wrapper_CompositeImplicitAutograd__is_neg(const at::Tensor & self) { |
| 2571 | // No device check |
| 2572 | // DeviceGuard omitted |
| 2573 | return at::native::is_neg(self); |
| 2574 | } |
| 2575 | } // anonymous namespace |
| 2576 | namespace { |
| 2577 | at::Tensor wrapper_CompositeImplicitAutograd__isreal(const at::Tensor & self) { |
| 2578 | // No device check |
| 2579 | // DeviceGuard omitted |
| 2580 | return at::native::isreal(self); |
| 2581 | } |
| 2582 | } // anonymous namespace |
| 2583 | namespace { |
| 2584 | bool wrapper_CompositeImplicitAutograd__is_nonzero(const at::Tensor & self) { |
| 2585 | // No device check |
| 2586 | // DeviceGuard omitted |
| 2587 | return at::native::is_nonzero(self); |
| 2588 | } |
| 2589 | } // anonymous namespace |
| 2590 | namespace { |
| 2591 | bool wrapper_CompositeImplicitAutograd__is_signed(const at::Tensor & self) { |
| 2592 | // No device check |
| 2593 | // DeviceGuard omitted |
| 2594 | return at::native::is_signed(self); |
| 2595 | } |
| 2596 | } // anonymous namespace |
| 2597 | namespace { |
| 2598 | bool wrapper_CompositeImplicitAutograd__is_inference(const at::Tensor & self) { |
| 2599 | // No device check |
| 2600 | // DeviceGuard omitted |
| 2601 | return at::native::is_inference(self); |
| 2602 | } |
| 2603 | } // anonymous namespace |
| 2604 | namespace { |
| 2605 | at::Tensor wrapper_CompositeImplicitAutograd__kl_div(const at::Tensor & self, const at::Tensor & target, int64_t reduction, bool log_target) { |
| 2606 | // No device check |
| 2607 | // DeviceGuard omitted |
| 2608 | return at::native::kl_div(self, target, reduction, log_target); |
| 2609 | } |
| 2610 | } // anonymous namespace |
| 2611 | namespace { |
| 2612 | at::Tensor wrapper_CompositeImplicitAutograd__kron(const at::Tensor & self, const at::Tensor & other) { |
| 2613 | // No device check |
| 2614 | // DeviceGuard omitted |
| 2615 | return at::native::kron(self, other); |
| 2616 | } |
| 2617 | } // anonymous namespace |
| 2618 | namespace { |
| 2619 | at::Tensor & wrapper_CompositeImplicitAutograd_out_kron_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2620 | // No device check |
| 2621 | // DeviceGuard omitted |
| 2622 | return at::native::kron_out(self, other, out); |
| 2623 | } |
| 2624 | } // anonymous namespace |
| 2625 | namespace { |
| 2626 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dimname_kthvalue(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim) { |
| 2627 | // No device check |
| 2628 | // DeviceGuard omitted |
| 2629 | return at::native::kthvalue(self, k, dim, keepdim); |
| 2630 | } |
| 2631 | } // anonymous namespace |
| 2632 | namespace { |
| 2633 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_dimname_out_kthvalue_out(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 2634 | // No device check |
| 2635 | // DeviceGuard omitted |
| 2636 | return at::native::kthvalue_out(self, k, dim, keepdim, values, indices); |
| 2637 | } |
| 2638 | } // anonymous namespace |
| 2639 | namespace { |
| 2640 | at::Tensor wrapper_CompositeImplicitAutograd__layer_norm(const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps, bool cudnn_enable) { |
| 2641 | // No device check |
| 2642 | // DeviceGuard omitted |
| 2643 | return at::native::layer_norm_symint(input, normalized_shape, weight, bias, eps, cudnn_enable); |
| 2644 | } |
| 2645 | } // anonymous namespace |
| 2646 | namespace { |
| 2647 | at::Tensor wrapper_CompositeImplicitAutograd__linear(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias) { |
| 2648 | // No device check |
| 2649 | // DeviceGuard omitted |
| 2650 | return at::native::linear(input, weight, bias); |
| 2651 | } |
| 2652 | } // anonymous namespace |
| 2653 | namespace { |
| 2654 | at::Tensor wrapper_CompositeImplicitAutograd__fbgemm_linear_int8_weight_fp32_activation(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) { |
| 2655 | // No device check |
| 2656 | // DeviceGuard omitted |
| 2657 | return at::native::fbgemm_linear_int8_weight_fp32_activation(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); |
| 2658 | } |
| 2659 | } // anonymous namespace |
| 2660 | namespace { |
| 2661 | at::Tensor wrapper_CompositeImplicitAutograd__fbgemm_linear_int8_weight(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) { |
| 2662 | // No device check |
| 2663 | // DeviceGuard omitted |
| 2664 | return at::native::fbgemm_linear_int8_weight(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); |
| 2665 | } |
| 2666 | } // anonymous namespace |
| 2667 | namespace { |
| 2668 | ::std::tuple<at::Tensor,at::Tensor,double,int64_t> wrapper_CompositeImplicitAutograd__fbgemm_linear_quantize_weight(const at::Tensor & input) { |
| 2669 | // No device check |
| 2670 | // DeviceGuard omitted |
| 2671 | return at::native::fbgemm_linear_quantize_weight(input); |
| 2672 | } |
| 2673 | } // anonymous namespace |
| 2674 | namespace { |
| 2675 | at::Tensor wrapper_CompositeImplicitAutograd__fbgemm_pack_gemm_matrix_fp16(const at::Tensor & input) { |
| 2676 | // No device check |
| 2677 | // DeviceGuard omitted |
| 2678 | return at::native::fbgemm_pack_gemm_matrix_fp16(input); |
| 2679 | } |
| 2680 | } // anonymous namespace |
| 2681 | namespace { |
| 2682 | at::Tensor wrapper_CompositeImplicitAutograd__fbgemm_linear_fp16_weight_fp32_activation(const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) { |
| 2683 | // No device check |
| 2684 | // DeviceGuard omitted |
| 2685 | return at::native::fbgemm_linear_fp16_weight_fp32_activation(input, packed_weight, bias); |
| 2686 | } |
| 2687 | } // anonymous namespace |
| 2688 | namespace { |
| 2689 | at::Tensor wrapper_CompositeImplicitAutograd__fbgemm_linear_fp16_weight(const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) { |
| 2690 | // No device check |
| 2691 | // DeviceGuard omitted |
| 2692 | return at::native::fbgemm_linear_fp16_weight(input, packed_weight, bias); |
| 2693 | } |
| 2694 | } // anonymous namespace |
| 2695 | namespace { |
| 2696 | at::Tensor wrapper_CompositeImplicitAutograd__fbgemm_pack_quantized_matrix(const at::Tensor & input) { |
| 2697 | // No device check |
| 2698 | // DeviceGuard omitted |
| 2699 | return at::native::fbgemm_pack_quantized_matrix(input); |
| 2700 | } |
| 2701 | } // anonymous namespace |
| 2702 | namespace { |
| 2703 | at::Tensor wrapper_CompositeImplicitAutograd_KN_fbgemm_pack_quantized_matrix(const at::Tensor & input, int64_t K, int64_t N) { |
| 2704 | // No device check |
| 2705 | // DeviceGuard omitted |
| 2706 | return at::native::fbgemm_pack_quantized_matrix(input, K, N); |
| 2707 | } |
| 2708 | } // anonymous namespace |
| 2709 | namespace { |
| 2710 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_ldexp(const at::Tensor & self, const at::Tensor & other) { |
| 2711 | // No device check |
| 2712 | // DeviceGuard omitted |
| 2713 | return at::native::ldexp(self, other); |
| 2714 | } |
| 2715 | } // anonymous namespace |
| 2716 | namespace { |
| 2717 | at::Tensor & wrapper_CompositeImplicitAutograd_out_ldexp_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2718 | // No device check |
| 2719 | // DeviceGuard omitted |
| 2720 | return at::native::ldexp_out(self, other, out); |
| 2721 | } |
| 2722 | } // anonymous namespace |
| 2723 | namespace { |
| 2724 | at::Tensor & wrapper_CompositeImplicitAutograd__ldexp_(at::Tensor & self, const at::Tensor & other) { |
| 2725 | // No device check |
| 2726 | // DeviceGuard omitted |
| 2727 | return at::native::ldexp_(self, other); |
| 2728 | } |
| 2729 | } // anonymous namespace |
| 2730 | namespace { |
| 2731 | at::Tensor wrapper_CompositeImplicitAutograd_int_log_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 2732 | // No device check |
| 2733 | // DeviceGuard omitted |
| 2734 | return at::native::log_softmax(self, dim, dtype); |
| 2735 | } |
| 2736 | } // anonymous namespace |
| 2737 | namespace { |
| 2738 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_log_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 2739 | // No device check |
| 2740 | // DeviceGuard omitted |
| 2741 | return at::native::log_softmax(self, dim, dtype); |
| 2742 | } |
| 2743 | } // anonymous namespace |
| 2744 | namespace { |
| 2745 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_logcumsumexp(const at::Tensor & self, at::Dimname dim) { |
| 2746 | // No device check |
| 2747 | // DeviceGuard omitted |
| 2748 | return at::native::logcumsumexp(self, dim); |
| 2749 | } |
| 2750 | } // anonymous namespace |
| 2751 | namespace { |
| 2752 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_out_logcumsumexp_out(const at::Tensor & self, at::Dimname dim, at::Tensor & out) { |
| 2753 | // No device check |
| 2754 | // DeviceGuard omitted |
| 2755 | return at::native::logcumsumexp_out(self, dim, out); |
| 2756 | } |
| 2757 | } // anonymous namespace |
| 2758 | namespace { |
| 2759 | at::Tensor wrapper_CompositeImplicitAutograd_names_logsumexp(const at::Tensor & self, at::DimnameList dim, bool keepdim) { |
| 2760 | // No device check |
| 2761 | // DeviceGuard omitted |
| 2762 | return at::native::logsumexp(self, dim, keepdim); |
| 2763 | } |
| 2764 | } // anonymous namespace |
| 2765 | namespace { |
| 2766 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_logsumexp_out(const at::Tensor & self, at::DimnameList dim, bool keepdim, at::Tensor & out) { |
| 2767 | // No device check |
| 2768 | // DeviceGuard omitted |
| 2769 | return at::native::logsumexp_out(self, dim, keepdim, out); |
| 2770 | } |
| 2771 | } // anonymous namespace |
| 2772 | namespace { |
| 2773 | at::Tensor wrapper_CompositeImplicitAutograd__margin_ranking_loss(const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin, int64_t reduction) { |
| 2774 | // No device check |
| 2775 | // DeviceGuard omitted |
| 2776 | return at::native::margin_ranking_loss(input1, input2, target, margin, reduction); |
| 2777 | } |
| 2778 | } // anonymous namespace |
| 2779 | namespace { |
| 2780 | at::Tensor wrapper_CompositeImplicitAutograd__matmul(const at::Tensor & self, const at::Tensor & other) { |
| 2781 | // No device check |
| 2782 | // DeviceGuard omitted |
| 2783 | return at::native::matmul(self, other); |
| 2784 | } |
| 2785 | } // anonymous namespace |
| 2786 | namespace { |
| 2787 | at::Tensor & wrapper_CompositeImplicitAutograd_out_matmul_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2788 | // No device check |
| 2789 | // DeviceGuard omitted |
| 2790 | return at::native::matmul_out(self, other, out); |
| 2791 | } |
| 2792 | } // anonymous namespace |
| 2793 | namespace { |
| 2794 | at::Tensor wrapper_CompositeImplicitAutograd__matrix_power(const at::Tensor & self, int64_t n) { |
| 2795 | // No device check |
| 2796 | // DeviceGuard omitted |
| 2797 | return at::native::matrix_power(self, n); |
| 2798 | } |
| 2799 | } // anonymous namespace |
| 2800 | namespace { |
| 2801 | at::Tensor & wrapper_CompositeImplicitAutograd_out_matrix_power_out(const at::Tensor & self, int64_t n, at::Tensor & out) { |
| 2802 | // No device check |
| 2803 | // DeviceGuard omitted |
| 2804 | return at::native::matrix_power_out(self, n, out); |
| 2805 | } |
| 2806 | } // anonymous namespace |
| 2807 | namespace { |
| 2808 | at::Tensor wrapper_CompositeImplicitAutograd__matrix_exp(const at::Tensor & self) { |
| 2809 | // No device check |
| 2810 | // DeviceGuard omitted |
| 2811 | return at::native::matrix_exp(self); |
| 2812 | } |
| 2813 | } // anonymous namespace |
| 2814 | namespace { |
| 2815 | at::Tensor wrapper_CompositeImplicitAutograd__matrix_exp_backward(const at::Tensor & self, const at::Tensor & grad) { |
| 2816 | // No device check |
| 2817 | // DeviceGuard omitted |
| 2818 | return at::native::matrix_exp_backward(self, grad); |
| 2819 | } |
| 2820 | } // anonymous namespace |
| 2821 | namespace { |
| 2822 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_names_dim_max(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 2823 | // No device check |
| 2824 | // DeviceGuard omitted |
| 2825 | return at::native::max(self, dim, keepdim); |
| 2826 | } |
| 2827 | } // anonymous namespace |
| 2828 | namespace { |
| 2829 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_names_dim_max_max_out(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) { |
| 2830 | // No device check |
| 2831 | // DeviceGuard omitted |
| 2832 | return at::native::max_out(self, dim, keepdim, max, max_values); |
| 2833 | } |
| 2834 | } // anonymous namespace |
| 2835 | namespace { |
| 2836 | at::Tensor wrapper_CompositeImplicitAutograd__value_selecting_reduction_backward(const at::Tensor & grad, int64_t dim, const at::Tensor & indices, c10::SymIntArrayRef sizes, bool keepdim) { |
| 2837 | // No device check |
| 2838 | // DeviceGuard omitted |
| 2839 | return at::native::value_selecting_reduction_backward_symint(grad, dim, indices, sizes, keepdim); |
| 2840 | } |
| 2841 | } // anonymous namespace |
| 2842 | namespace { |
| 2843 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__max_pool1d_with_indices(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 2844 | // No device check |
| 2845 | // DeviceGuard omitted |
| 2846 | return at::native::max_pool1d_with_indices(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 2847 | } |
| 2848 | } // anonymous namespace |
| 2849 | namespace { |
| 2850 | at::Tensor wrapper_CompositeImplicitAutograd__max_pool1d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 2851 | // No device check |
| 2852 | // DeviceGuard omitted |
| 2853 | return at::native::max_pool1d(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 2854 | } |
| 2855 | } // anonymous namespace |
| 2856 | namespace { |
| 2857 | at::Tensor wrapper_CompositeImplicitAutograd__max_pool2d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 2858 | // No device check |
| 2859 | // DeviceGuard omitted |
| 2860 | return at::native::max_pool2d(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 2861 | } |
| 2862 | } // anonymous namespace |
| 2863 | namespace { |
| 2864 | at::Tensor wrapper_CompositeImplicitAutograd__max_pool3d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 2865 | // No device check |
| 2866 | // DeviceGuard omitted |
| 2867 | return at::native::max_pool3d(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 2868 | } |
| 2869 | } // anonymous namespace |
| 2870 | namespace { |
| 2871 | at::Tensor wrapper_CompositeImplicitAutograd_names_dim_mean(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 2872 | // No device check |
| 2873 | // DeviceGuard omitted |
| 2874 | return at::native::mean(self, dim, keepdim, dtype); |
| 2875 | } |
| 2876 | } // anonymous namespace |
| 2877 | namespace { |
| 2878 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_mean_out(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2879 | // No device check |
| 2880 | // DeviceGuard omitted |
| 2881 | return at::native::mean_out(self, dim, keepdim, dtype, out); |
| 2882 | } |
| 2883 | } // anonymous namespace |
| 2884 | namespace { |
| 2885 | at::Tensor wrapper_CompositeImplicitAutograd__nanmean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 2886 | // No device check |
| 2887 | // DeviceGuard omitted |
| 2888 | return at::native::nanmean(self, dim, keepdim, dtype); |
| 2889 | } |
| 2890 | } // anonymous namespace |
| 2891 | namespace { |
| 2892 | at::Tensor & wrapper_CompositeImplicitAutograd_out_nanmean_out(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 2893 | // No device check |
| 2894 | // DeviceGuard omitted |
| 2895 | return at::native::nanmean_out(self, dim, keepdim, dtype, out); |
| 2896 | } |
| 2897 | } // anonymous namespace |
| 2898 | namespace { |
| 2899 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_names_dim_median(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 2900 | // No device check |
| 2901 | // DeviceGuard omitted |
| 2902 | return at::native::median(self, dim, keepdim); |
| 2903 | } |
| 2904 | } // anonymous namespace |
| 2905 | namespace { |
| 2906 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_names_dim_values_median_out(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 2907 | // No device check |
| 2908 | // DeviceGuard omitted |
| 2909 | return at::native::median_out(self, dim, keepdim, values, indices); |
| 2910 | } |
| 2911 | } // anonymous namespace |
| 2912 | namespace { |
| 2913 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_names_dim_nanmedian(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 2914 | // No device check |
| 2915 | // DeviceGuard omitted |
| 2916 | return at::native::nanmedian(self, dim, keepdim); |
| 2917 | } |
| 2918 | } // anonymous namespace |
| 2919 | namespace { |
| 2920 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_names_dim_values_nanmedian_out(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 2921 | // No device check |
| 2922 | // DeviceGuard omitted |
| 2923 | return at::native::nanmedian_out(self, dim, keepdim, values, indices); |
| 2924 | } |
| 2925 | } // anonymous namespace |
| 2926 | namespace { |
| 2927 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_names_dim_min(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 2928 | // No device check |
| 2929 | // DeviceGuard omitted |
| 2930 | return at::native::min(self, dim, keepdim); |
| 2931 | } |
| 2932 | } // anonymous namespace |
| 2933 | namespace { |
| 2934 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_names_dim_min_min_out(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & min, at::Tensor & min_indices) { |
| 2935 | // No device check |
| 2936 | // DeviceGuard omitted |
| 2937 | return at::native::min_out(self, dim, keepdim, min, min_indices); |
| 2938 | } |
| 2939 | } // anonymous namespace |
| 2940 | namespace { |
| 2941 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_mm(const at::Tensor & sparse, const at::Tensor & dense) { |
| 2942 | // No device check |
| 2943 | // DeviceGuard omitted |
| 2944 | return at::native::_sparse_mm(sparse, dense); |
| 2945 | } |
| 2946 | } // anonymous namespace |
| 2947 | namespace { |
| 2948 | at::Tensor wrapper_CompositeImplicitAutograd_reduce__sparse_mm(const at::Tensor & sparse, const at::Tensor & dense, c10::string_view reduce) { |
| 2949 | // No device check |
| 2950 | // DeviceGuard omitted |
| 2951 | return at::native::_sparse_mm(sparse, dense, reduce); |
| 2952 | } |
| 2953 | } // anonymous namespace |
| 2954 | namespace { |
| 2955 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dimname_mode(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 2956 | // No device check |
| 2957 | // DeviceGuard omitted |
| 2958 | return at::native::mode(self, dim, keepdim); |
| 2959 | } |
| 2960 | } // anonymous namespace |
| 2961 | namespace { |
| 2962 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_dimname_out_mode_out(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 2963 | // No device check |
| 2964 | // DeviceGuard omitted |
| 2965 | return at::native::mode_out(self, dim, keepdim, values, indices); |
| 2966 | } |
| 2967 | } // anonymous namespace |
| 2968 | namespace { |
| 2969 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_multiply(const at::Tensor & self, const at::Tensor & other) { |
| 2970 | // No device check |
| 2971 | // DeviceGuard omitted |
| 2972 | return at::native::multiply(self, other); |
| 2973 | } |
| 2974 | } // anonymous namespace |
| 2975 | namespace { |
| 2976 | at::Tensor & wrapper_CompositeImplicitAutograd_out_multiply_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 2977 | // No device check |
| 2978 | // DeviceGuard omitted |
| 2979 | return at::native::multiply_out(self, other, out); |
| 2980 | } |
| 2981 | } // anonymous namespace |
| 2982 | namespace { |
| 2983 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_multiply_(at::Tensor & self, const at::Tensor & other) { |
| 2984 | // No device check |
| 2985 | // DeviceGuard omitted |
| 2986 | return at::native::multiply_(self, other); |
| 2987 | } |
| 2988 | } // anonymous namespace |
| 2989 | namespace { |
| 2990 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_multiply(const at::Tensor & self, const at::Scalar & other) { |
| 2991 | // No device check |
| 2992 | // DeviceGuard omitted |
| 2993 | return at::native::multiply(self, other); |
| 2994 | } |
| 2995 | } // anonymous namespace |
| 2996 | namespace { |
| 2997 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_multiply_(at::Tensor & self, const at::Scalar & other) { |
| 2998 | // No device check |
| 2999 | // DeviceGuard omitted |
| 3000 | return at::native::multiply_(self, other); |
| 3001 | } |
| 3002 | } // anonymous namespace |
| 3003 | namespace { |
| 3004 | at::Tensor wrapper_CompositeImplicitAutograd__narrow(const at::Tensor & self, int64_t dim, c10::SymInt start, c10::SymInt length) { |
| 3005 | // No device check |
| 3006 | // DeviceGuard omitted |
| 3007 | return at::native::narrow_symint(self, dim, start, length); |
| 3008 | } |
| 3009 | } // anonymous namespace |
| 3010 | namespace { |
| 3011 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_narrow(const at::Tensor & self, int64_t dim, const at::Tensor & start, c10::SymInt length) { |
| 3012 | // No device check |
| 3013 | // DeviceGuard omitted |
| 3014 | return at::native::narrow_tensor_symint(self, dim, start, length); |
| 3015 | } |
| 3016 | } // anonymous namespace |
| 3017 | namespace { |
| 3018 | bool wrapper_CompositeImplicitAutograd__is_vulkan_available() { |
| 3019 | // No device check |
| 3020 | // DeviceGuard omitted |
| 3021 | return at::native::is_vulkan_available(); |
| 3022 | } |
| 3023 | } // anonymous namespace |
| 3024 | namespace { |
| 3025 | bool wrapper_CompositeImplicitAutograd___nnpack_available() { |
| 3026 | // No device check |
| 3027 | // DeviceGuard omitted |
| 3028 | return at::native::_nnpack_available(); |
| 3029 | } |
| 3030 | } // anonymous namespace |
| 3031 | namespace { |
| 3032 | at::Tensor wrapper_CompositeImplicitAutograd__pairwise_distance(const at::Tensor & x1, const at::Tensor & x2, double p, double eps, bool keepdim) { |
| 3033 | // No device check |
| 3034 | // DeviceGuard omitted |
| 3035 | return at::native::pairwise_distance(x1, x2, p, eps, keepdim); |
| 3036 | } |
| 3037 | } // anonymous namespace |
| 3038 | namespace { |
| 3039 | at::Tensor wrapper_CompositeImplicitAutograd__cdist(const at::Tensor & x1, const at::Tensor & x2, double p, c10::optional<int64_t> compute_mode) { |
| 3040 | // No device check |
| 3041 | // DeviceGuard omitted |
| 3042 | return at::native::cdist(x1, x2, p, compute_mode); |
| 3043 | } |
| 3044 | } // anonymous namespace |
| 3045 | namespace { |
| 3046 | at::Tensor wrapper_CompositeImplicitAutograd__pdist(const at::Tensor & self, double p) { |
| 3047 | // No device check |
| 3048 | // DeviceGuard omitted |
| 3049 | return at::native::pdist(self, p); |
| 3050 | } |
| 3051 | } // anonymous namespace |
| 3052 | namespace { |
| 3053 | at::Tensor wrapper_CompositeImplicitAutograd__cosine_similarity(const at::Tensor & x1, const at::Tensor & x2, int64_t dim, double eps) { |
| 3054 | // No device check |
| 3055 | // DeviceGuard omitted |
| 3056 | return at::native::cosine_similarity(x1, x2, dim, eps); |
| 3057 | } |
| 3058 | } // anonymous namespace |
| 3059 | namespace { |
| 3060 | at::Tensor wrapper_CompositeImplicitAutograd_intlist_movedim(const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) { |
| 3061 | // No device check |
| 3062 | // DeviceGuard omitted |
| 3063 | return at::native::movedim(self, source, destination); |
| 3064 | } |
| 3065 | } // anonymous namespace |
| 3066 | namespace { |
| 3067 | at::Tensor wrapper_CompositeImplicitAutograd_int_movedim(const at::Tensor & self, int64_t source, int64_t destination) { |
| 3068 | // No device check |
| 3069 | // DeviceGuard omitted |
| 3070 | return at::native::movedim(self, source, destination); |
| 3071 | } |
| 3072 | } // anonymous namespace |
| 3073 | namespace { |
| 3074 | at::Tensor wrapper_CompositeImplicitAutograd_intlist_moveaxis(const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) { |
| 3075 | // No device check |
| 3076 | // DeviceGuard omitted |
| 3077 | return at::native::moveaxis(self, source, destination); |
| 3078 | } |
| 3079 | } // anonymous namespace |
| 3080 | namespace { |
| 3081 | at::Tensor wrapper_CompositeImplicitAutograd_int_moveaxis(const at::Tensor & self, int64_t source, int64_t destination) { |
| 3082 | // No device check |
| 3083 | // DeviceGuard omitted |
| 3084 | return at::native::moveaxis(self, source, destination); |
| 3085 | } |
| 3086 | } // anonymous namespace |
| 3087 | namespace { |
| 3088 | at::Tensor wrapper_CompositeImplicitAutograd__numpy_T(const at::Tensor & self) { |
| 3089 | // No device check |
| 3090 | // DeviceGuard omitted |
| 3091 | return at::native::numpy_T(self); |
| 3092 | } |
| 3093 | } // anonymous namespace |
| 3094 | namespace { |
| 3095 | at::Tensor wrapper_CompositeImplicitAutograd__matrix_H(const at::Tensor & self) { |
| 3096 | // No device check |
| 3097 | // DeviceGuard omitted |
| 3098 | return at::native::matrix_H(self); |
| 3099 | } |
| 3100 | } // anonymous namespace |
| 3101 | namespace { |
| 3102 | at::Tensor wrapper_CompositeImplicitAutograd__mT(const at::Tensor & self) { |
| 3103 | // No device check |
| 3104 | // DeviceGuard omitted |
| 3105 | return at::native::mT(self); |
| 3106 | } |
| 3107 | } // anonymous namespace |
| 3108 | namespace { |
| 3109 | at::Tensor wrapper_CompositeImplicitAutograd__mH(const at::Tensor & self) { |
| 3110 | // No device check |
| 3111 | // DeviceGuard omitted |
| 3112 | return at::native::mH(self); |
| 3113 | } |
| 3114 | } // anonymous namespace |
| 3115 | namespace { |
| 3116 | at::Tensor wrapper_CompositeImplicitAutograd__adjoint(const at::Tensor & self) { |
| 3117 | // No device check |
| 3118 | // DeviceGuard omitted |
| 3119 | return at::native::adjoint(self); |
| 3120 | } |
| 3121 | } // anonymous namespace |
| 3122 | namespace { |
| 3123 | at::Tensor wrapper_CompositeImplicitAutograd__native_channel_shuffle(const at::Tensor & self, int64_t groups) { |
| 3124 | // No device check |
| 3125 | // DeviceGuard omitted |
| 3126 | return at::native::math_channel_shuffle(self, groups); |
| 3127 | } |
| 3128 | } // anonymous namespace |
| 3129 | namespace { |
| 3130 | at::Tensor wrapper_CompositeImplicitAutograd__pin_memory(const at::Tensor & self, c10::optional<at::Device> device) { |
| 3131 | // No device check |
| 3132 | // DeviceGuard omitted |
| 3133 | return at::native::pin_memory(self, device); |
| 3134 | } |
| 3135 | } // anonymous namespace |
| 3136 | namespace { |
| 3137 | at::Tensor wrapper_CompositeImplicitAutograd__pinverse(const at::Tensor & self, double rcond) { |
| 3138 | // No device check |
| 3139 | // DeviceGuard omitted |
| 3140 | return at::native::pinverse(self, rcond); |
| 3141 | } |
| 3142 | } // anonymous namespace |
| 3143 | namespace { |
| 3144 | at::Tensor wrapper_CompositeImplicitAutograd__poisson_nll_loss(const at::Tensor & input, const at::Tensor & target, bool log_input, bool full, double eps, int64_t reduction) { |
| 3145 | // No device check |
| 3146 | // DeviceGuard omitted |
| 3147 | return at::native::poisson_nll_loss(input, target, log_input, full, eps, reduction); |
| 3148 | } |
| 3149 | } // anonymous namespace |
| 3150 | namespace { |
| 3151 | at::Tensor & wrapper_CompositeImplicitAutograd_generator_out_rand_out(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 3152 | // No device check |
| 3153 | // DeviceGuard omitted |
| 3154 | return at::native::rand_out(C10_AS_INTARRAYREF_SLOW(size), generator, out); |
| 3155 | } |
| 3156 | } // anonymous namespace |
| 3157 | namespace { |
| 3158 | at::Tensor & wrapper_CompositeImplicitAutograd_out_randn_out(c10::SymIntArrayRef size, at::Tensor & out) { |
| 3159 | // No device check |
| 3160 | // DeviceGuard omitted |
| 3161 | return at::native::randn_out(C10_AS_INTARRAYREF_SLOW(size), out); |
| 3162 | } |
| 3163 | } // anonymous namespace |
| 3164 | namespace { |
| 3165 | at::Tensor & wrapper_CompositeImplicitAutograd_generator_out_randn_out(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 3166 | // No device check |
| 3167 | // DeviceGuard omitted |
| 3168 | return at::native::randn_out(C10_AS_INTARRAYREF_SLOW(size), generator, out); |
| 3169 | } |
| 3170 | } // anonymous namespace |
| 3171 | namespace { |
| 3172 | at::Tensor wrapper_CompositeImplicitAutograd__ravel(const at::Tensor & self) { |
| 3173 | // No device check |
| 3174 | // DeviceGuard omitted |
| 3175 | return at::native::ravel(self); |
| 3176 | } |
| 3177 | } // anonymous namespace |
| 3178 | namespace { |
| 3179 | at::Tensor wrapper_CompositeImplicitAutograd__negative(const at::Tensor & self) { |
| 3180 | // No device check |
| 3181 | // DeviceGuard omitted |
| 3182 | return at::native::negative(self); |
| 3183 | } |
| 3184 | } // anonymous namespace |
| 3185 | namespace { |
| 3186 | at::Tensor & wrapper_CompositeImplicitAutograd_out_negative_out(const at::Tensor & self, at::Tensor & out) { |
| 3187 | // No device check |
| 3188 | // DeviceGuard omitted |
| 3189 | return at::native::negative_out(self, out); |
| 3190 | } |
| 3191 | } // anonymous namespace |
| 3192 | namespace { |
| 3193 | at::Tensor & wrapper_CompositeImplicitAutograd__negative_(at::Tensor & self) { |
| 3194 | // No device check |
| 3195 | // DeviceGuard omitted |
| 3196 | return at::native::negative_(self); |
| 3197 | } |
| 3198 | } // anonymous namespace |
| 3199 | namespace { |
| 3200 | at::Tensor wrapper_CompositeImplicitAutograd_self_Tensor_repeat_interleave(const at::Tensor & self, const at::Tensor & repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) { |
| 3201 | // No device check |
| 3202 | // DeviceGuard omitted |
| 3203 | return at::native::repeat_interleave(self, repeats, dim, output_size); |
| 3204 | } |
| 3205 | } // anonymous namespace |
| 3206 | namespace { |
| 3207 | at::Tensor wrapper_CompositeImplicitAutograd_self_int_repeat_interleave(const at::Tensor & self, c10::SymInt repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) { |
| 3208 | // No device check |
| 3209 | // DeviceGuard omitted |
| 3210 | return at::native::repeat_interleave_symint(self, repeats, dim, output_size); |
| 3211 | } |
| 3212 | } // anonymous namespace |
| 3213 | namespace { |
| 3214 | at::Tensor wrapper_CompositeImplicitAutograd__reshape(const at::Tensor & self, c10::SymIntArrayRef shape) { |
| 3215 | // No device check |
| 3216 | // DeviceGuard omitted |
| 3217 | return at::native::reshape_symint(self, shape); |
| 3218 | } |
| 3219 | } // anonymous namespace |
| 3220 | namespace { |
| 3221 | at::Tensor wrapper_CompositeImplicitAutograd__reshape_as(const at::Tensor & self, const at::Tensor & other) { |
| 3222 | // No device check |
| 3223 | // DeviceGuard omitted |
| 3224 | return at::native::reshape_as(self, other); |
| 3225 | } |
| 3226 | } // anonymous namespace |
| 3227 | namespace { |
| 3228 | at::Tensor wrapper_CompositeImplicitAutograd__rrelu(const at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, c10::optional<at::Generator> generator) { |
| 3229 | // No device check |
| 3230 | // DeviceGuard omitted |
| 3231 | return at::native::rrelu(self, lower, upper, training, generator); |
| 3232 | } |
| 3233 | } // anonymous namespace |
| 3234 | namespace { |
| 3235 | at::Tensor & wrapper_CompositeImplicitAutograd__rrelu_(at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, c10::optional<at::Generator> generator) { |
| 3236 | // No device check |
| 3237 | // DeviceGuard omitted |
| 3238 | return at::native::rrelu_(self, lower, upper, training, generator); |
| 3239 | } |
| 3240 | } // anonymous namespace |
| 3241 | namespace { |
| 3242 | at::Tensor wrapper_CompositeImplicitAutograd__relu6(const at::Tensor & self) { |
| 3243 | // No device check |
| 3244 | // DeviceGuard omitted |
| 3245 | return at::native::relu6(self); |
| 3246 | } |
| 3247 | } // anonymous namespace |
| 3248 | namespace { |
| 3249 | at::Tensor & wrapper_CompositeImplicitAutograd__relu6_(at::Tensor & self) { |
| 3250 | // No device check |
| 3251 | // DeviceGuard omitted |
| 3252 | return at::native::relu6_(self); |
| 3253 | } |
| 3254 | } // anonymous namespace |
| 3255 | namespace { |
| 3256 | at::Tensor wrapper_CompositeImplicitAutograd__prelu(const at::Tensor & self, const at::Tensor & weight) { |
| 3257 | // No device check |
| 3258 | // DeviceGuard omitted |
| 3259 | return at::native::prelu(self, weight); |
| 3260 | } |
| 3261 | } // anonymous namespace |
| 3262 | namespace { |
| 3263 | at::Tensor wrapper_CompositeImplicitAutograd__infinitely_differentiable_gelu_backward(const at::Tensor & grad, const at::Tensor & self) { |
| 3264 | // No device check |
| 3265 | // DeviceGuard omitted |
| 3266 | return at::native::infinitely_differentiable_gelu_backward(grad, self); |
| 3267 | } |
| 3268 | } // anonymous namespace |
| 3269 | namespace { |
| 3270 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_select(const at::Tensor & self, at::Dimname dim, int64_t index) { |
| 3271 | // No device check |
| 3272 | // DeviceGuard omitted |
| 3273 | return at::native::select(self, dim, index); |
| 3274 | } |
| 3275 | } // anonymous namespace |
| 3276 | namespace { |
| 3277 | at::Tensor wrapper_CompositeImplicitAutograd__selu(const at::Tensor & self) { |
| 3278 | // No device check |
| 3279 | // DeviceGuard omitted |
| 3280 | return at::native::selu(self); |
| 3281 | } |
| 3282 | } // anonymous namespace |
| 3283 | namespace { |
| 3284 | at::Tensor & wrapper_CompositeImplicitAutograd__selu_(at::Tensor & self) { |
| 3285 | // No device check |
| 3286 | // DeviceGuard omitted |
| 3287 | return at::native::selu_(self); |
| 3288 | } |
| 3289 | } // anonymous namespace |
| 3290 | namespace { |
| 3291 | at::Tensor wrapper_CompositeImplicitAutograd__silu_backward(const at::Tensor & grad_output, const at::Tensor & self) { |
| 3292 | // No device check |
| 3293 | // DeviceGuard omitted |
| 3294 | return at::native::math_silu_backward(grad_output, self); |
| 3295 | } |
| 3296 | } // anonymous namespace |
| 3297 | namespace { |
| 3298 | at::Tensor wrapper_CompositeImplicitAutograd__mish_backward(const at::Tensor & grad_output, const at::Tensor & self) { |
| 3299 | // No device check |
| 3300 | // DeviceGuard omitted |
| 3301 | return at::native::math_mish_backward(grad_output, self); |
| 3302 | } |
| 3303 | } // anonymous namespace |
| 3304 | namespace { |
| 3305 | int64_t wrapper_CompositeImplicitAutograd_int_size(const at::Tensor & self, int64_t dim) { |
| 3306 | // No device check |
| 3307 | // DeviceGuard omitted |
| 3308 | return at::native::size(self, dim); |
| 3309 | } |
| 3310 | } // anonymous namespace |
| 3311 | namespace { |
| 3312 | int64_t wrapper_CompositeImplicitAutograd_Dimname_size(const at::Tensor & self, at::Dimname dim) { |
| 3313 | // No device check |
| 3314 | // DeviceGuard omitted |
| 3315 | return at::native::size(self, dim); |
| 3316 | } |
| 3317 | } // anonymous namespace |
| 3318 | namespace { |
| 3319 | at::Tensor wrapper_CompositeImplicitAutograd__smm(const at::Tensor & self, const at::Tensor & mat2) { |
| 3320 | // No device check |
| 3321 | // DeviceGuard omitted |
| 3322 | return at::native::smm(self, mat2); |
| 3323 | } |
| 3324 | } // anonymous namespace |
| 3325 | namespace { |
| 3326 | at::Tensor wrapper_CompositeImplicitAutograd_int_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 3327 | // No device check |
| 3328 | // DeviceGuard omitted |
| 3329 | return at::native::softmax(self, dim, dtype); |
| 3330 | } |
| 3331 | } // anonymous namespace |
| 3332 | namespace { |
| 3333 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 3334 | // No device check |
| 3335 | // DeviceGuard omitted |
| 3336 | return at::native::softmax(self, dim, dtype); |
| 3337 | } |
| 3338 | } // anonymous namespace |
| 3339 | namespace { |
| 3340 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_sizes_split(const at::Tensor & self, c10::SymIntArrayRef split_size, int64_t dim) { |
| 3341 | // No device check |
| 3342 | // DeviceGuard omitted |
| 3343 | return at::native::split_symint(self, split_size, dim); |
| 3344 | } |
| 3345 | } // anonymous namespace |
| 3346 | namespace { |
| 3347 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_int_hsplit(const at::Tensor & self, int64_t sections) { |
| 3348 | // No device check |
| 3349 | // DeviceGuard omitted |
| 3350 | return at::native::hsplit(self, sections); |
| 3351 | } |
| 3352 | } // anonymous namespace |
| 3353 | namespace { |
| 3354 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_array_hsplit(const at::Tensor & self, at::IntArrayRef indices) { |
| 3355 | // No device check |
| 3356 | // DeviceGuard omitted |
| 3357 | return at::native::hsplit(self, indices); |
| 3358 | } |
| 3359 | } // anonymous namespace |
| 3360 | namespace { |
| 3361 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_int_vsplit(const at::Tensor & self, int64_t sections) { |
| 3362 | // No device check |
| 3363 | // DeviceGuard omitted |
| 3364 | return at::native::vsplit(self, sections); |
| 3365 | } |
| 3366 | } // anonymous namespace |
| 3367 | namespace { |
| 3368 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_array_vsplit(const at::Tensor & self, at::IntArrayRef indices) { |
| 3369 | // No device check |
| 3370 | // DeviceGuard omitted |
| 3371 | return at::native::vsplit(self, indices); |
| 3372 | } |
| 3373 | } // anonymous namespace |
| 3374 | namespace { |
| 3375 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_int_dsplit(const at::Tensor & self, int64_t sections) { |
| 3376 | // No device check |
| 3377 | // DeviceGuard omitted |
| 3378 | return at::native::dsplit(self, sections); |
| 3379 | } |
| 3380 | } // anonymous namespace |
| 3381 | namespace { |
| 3382 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_array_dsplit(const at::Tensor & self, at::IntArrayRef indices) { |
| 3383 | // No device check |
| 3384 | // DeviceGuard omitted |
| 3385 | return at::native::dsplit(self, indices); |
| 3386 | } |
| 3387 | } // anonymous namespace |
| 3388 | namespace { |
| 3389 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_squeeze(const at::Tensor & self, at::Dimname dim) { |
| 3390 | // No device check |
| 3391 | // DeviceGuard omitted |
| 3392 | return at::native::squeeze(self, dim); |
| 3393 | } |
| 3394 | } // anonymous namespace |
| 3395 | namespace { |
| 3396 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_squeeze_(at::Tensor & self, at::Dimname dim) { |
| 3397 | // No device check |
| 3398 | // DeviceGuard omitted |
| 3399 | return at::native::squeeze_(self, dim); |
| 3400 | } |
| 3401 | } // anonymous namespace |
| 3402 | namespace { |
| 3403 | at::Tensor wrapper_CompositeImplicitAutograd__sspaddmm(const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha) { |
| 3404 | // No device check |
| 3405 | // DeviceGuard omitted |
| 3406 | return at::native::sspaddmm(self, mat1, mat2, beta, alpha); |
| 3407 | } |
| 3408 | } // anonymous namespace |
| 3409 | namespace { |
| 3410 | at::Tensor wrapper_CompositeImplicitAutograd__hstack(at::TensorList tensors) { |
| 3411 | // No device check |
| 3412 | // DeviceGuard omitted |
| 3413 | return at::native::hstack(tensors); |
| 3414 | } |
| 3415 | } // anonymous namespace |
| 3416 | namespace { |
| 3417 | at::Tensor & wrapper_CompositeImplicitAutograd_out_hstack_out(at::TensorList tensors, at::Tensor & out) { |
| 3418 | // No device check |
| 3419 | // DeviceGuard omitted |
| 3420 | return at::native::hstack_out(tensors, out); |
| 3421 | } |
| 3422 | } // anonymous namespace |
| 3423 | namespace { |
| 3424 | at::Tensor wrapper_CompositeImplicitAutograd__vstack(at::TensorList tensors) { |
| 3425 | // No device check |
| 3426 | // DeviceGuard omitted |
| 3427 | return at::native::vstack(tensors); |
| 3428 | } |
| 3429 | } // anonymous namespace |
| 3430 | namespace { |
| 3431 | at::Tensor & wrapper_CompositeImplicitAutograd_out_vstack_out(at::TensorList tensors, at::Tensor & out) { |
| 3432 | // No device check |
| 3433 | // DeviceGuard omitted |
| 3434 | return at::native::vstack_out(tensors, out); |
| 3435 | } |
| 3436 | } // anonymous namespace |
| 3437 | namespace { |
| 3438 | at::Tensor wrapper_CompositeImplicitAutograd__dstack(at::TensorList tensors) { |
| 3439 | // No device check |
| 3440 | // DeviceGuard omitted |
| 3441 | return at::native::dstack(tensors); |
| 3442 | } |
| 3443 | } // anonymous namespace |
| 3444 | namespace { |
| 3445 | at::Tensor & wrapper_CompositeImplicitAutograd_out_dstack_out(at::TensorList tensors, at::Tensor & out) { |
| 3446 | // No device check |
| 3447 | // DeviceGuard omitted |
| 3448 | return at::native::dstack_out(tensors, out); |
| 3449 | } |
| 3450 | } // anonymous namespace |
| 3451 | namespace { |
| 3452 | at::Tensor wrapper_CompositeImplicitAutograd__stft(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::optional<bool> return_complex) { |
| 3453 | // No device check |
| 3454 | // DeviceGuard omitted |
| 3455 | return at::native::stft(self, n_fft, hop_length, win_length, window, normalized, onesided, return_complex); |
| 3456 | } |
| 3457 | } // anonymous namespace |
| 3458 | namespace { |
| 3459 | at::Tensor wrapper_CompositeImplicitAutograd_center_stft(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 center, c10::string_view pad_mode, bool normalized, c10::optional<bool> onesided, c10::optional<bool> return_complex) { |
| 3460 | // No device check |
| 3461 | // DeviceGuard omitted |
| 3462 | return at::native::stft(self, n_fft, hop_length, win_length, window, center, pad_mode, normalized, onesided, return_complex); |
| 3463 | } |
| 3464 | } // anonymous namespace |
| 3465 | namespace { |
| 3466 | at::Tensor wrapper_CompositeImplicitAutograd__istft(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 center, bool normalized, c10::optional<bool> onesided, c10::optional<int64_t> length, bool return_complex) { |
| 3467 | // No device check |
| 3468 | // DeviceGuard omitted |
| 3469 | return at::native::istft(self, n_fft, hop_length, win_length, window, center, normalized, onesided, length, return_complex); |
| 3470 | } |
| 3471 | } // anonymous namespace |
| 3472 | namespace { |
| 3473 | int64_t wrapper_CompositeImplicitAutograd_int_stride(const at::Tensor & self, int64_t dim) { |
| 3474 | // No device check |
| 3475 | // DeviceGuard omitted |
| 3476 | return at::native::stride(self, dim); |
| 3477 | } |
| 3478 | } // anonymous namespace |
| 3479 | namespace { |
| 3480 | int64_t wrapper_CompositeImplicitAutograd_Dimname_stride(const at::Tensor & self, at::Dimname dim) { |
| 3481 | // No device check |
| 3482 | // DeviceGuard omitted |
| 3483 | return at::native::stride(self, dim); |
| 3484 | } |
| 3485 | } // anonymous namespace |
| 3486 | namespace { |
| 3487 | at::Tensor wrapper_CompositeImplicitAutograd_dim_DimnameList_sum(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 3488 | // No device check |
| 3489 | // DeviceGuard omitted |
| 3490 | return at::native::sum(self, dim, keepdim, dtype); |
| 3491 | } |
| 3492 | } // anonymous namespace |
| 3493 | namespace { |
| 3494 | at::Tensor & wrapper_CompositeImplicitAutograd_DimnameList_out_sum_out(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 3495 | // No device check |
| 3496 | // DeviceGuard omitted |
| 3497 | return at::native::sum_out(self, dim, keepdim, dtype, out); |
| 3498 | } |
| 3499 | } // anonymous namespace |
| 3500 | namespace { |
| 3501 | at::Tensor wrapper_CompositeImplicitAutograd__sum_to_size(const at::Tensor & self, at::IntArrayRef size) { |
| 3502 | // No device check |
| 3503 | // DeviceGuard omitted |
| 3504 | return at::native::sum_to_size(self, size); |
| 3505 | } |
| 3506 | } // anonymous namespace |
| 3507 | namespace { |
| 3508 | at::Tensor wrapper_CompositeImplicitAutograd__square(const at::Tensor & self) { |
| 3509 | // No device check |
| 3510 | // DeviceGuard omitted |
| 3511 | return at::native::square(self); |
| 3512 | } |
| 3513 | } // anonymous namespace |
| 3514 | namespace { |
| 3515 | at::Tensor & wrapper_CompositeImplicitAutograd_out_square_out(const at::Tensor & self, at::Tensor & out) { |
| 3516 | // No device check |
| 3517 | // DeviceGuard omitted |
| 3518 | return at::native::square_out(self, out); |
| 3519 | } |
| 3520 | } // anonymous namespace |
| 3521 | namespace { |
| 3522 | at::Tensor & wrapper_CompositeImplicitAutograd__square_(at::Tensor & self) { |
| 3523 | // No device check |
| 3524 | // DeviceGuard omitted |
| 3525 | return at::native::square_(self); |
| 3526 | } |
| 3527 | } // anonymous namespace |
| 3528 | namespace { |
| 3529 | at::Tensor wrapper_CompositeImplicitAutograd__std(const at::Tensor & self, bool unbiased) { |
| 3530 | // No device check |
| 3531 | // DeviceGuard omitted |
| 3532 | return at::native::std(self, unbiased); |
| 3533 | } |
| 3534 | } // anonymous namespace |
| 3535 | namespace { |
| 3536 | at::Tensor wrapper_CompositeImplicitAutograd_dim_std(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 3537 | // No device check |
| 3538 | // DeviceGuard omitted |
| 3539 | return at::native::std(self, dim, unbiased, keepdim); |
| 3540 | } |
| 3541 | } // anonymous namespace |
| 3542 | namespace { |
| 3543 | at::Tensor & wrapper_CompositeImplicitAutograd_out_std_out(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 3544 | // No device check |
| 3545 | // DeviceGuard omitted |
| 3546 | return at::native::std_out(self, dim, unbiased, keepdim, out); |
| 3547 | } |
| 3548 | } // anonymous namespace |
| 3549 | namespace { |
| 3550 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__std_mean(const at::Tensor & self, bool unbiased) { |
| 3551 | // No device check |
| 3552 | // DeviceGuard omitted |
| 3553 | return at::native::std_mean(self, unbiased); |
| 3554 | } |
| 3555 | } // anonymous namespace |
| 3556 | namespace { |
| 3557 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dim_std_mean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 3558 | // No device check |
| 3559 | // DeviceGuard omitted |
| 3560 | return at::native::std_mean(self, dim, unbiased, keepdim); |
| 3561 | } |
| 3562 | } // anonymous namespace |
| 3563 | namespace { |
| 3564 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_names_dim_std_mean(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 3565 | // No device check |
| 3566 | // DeviceGuard omitted |
| 3567 | return at::native::std_mean(self, dim, unbiased, keepdim); |
| 3568 | } |
| 3569 | } // anonymous namespace |
| 3570 | namespace { |
| 3571 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_correction_names_std_mean(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 3572 | // No device check |
| 3573 | // DeviceGuard omitted |
| 3574 | return at::native::std_mean(self, dim, correction, keepdim); |
| 3575 | } |
| 3576 | } // anonymous namespace |
| 3577 | namespace { |
| 3578 | at::Tensor wrapper_CompositeImplicitAutograd_names_dim_std(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 3579 | // No device check |
| 3580 | // DeviceGuard omitted |
| 3581 | return at::native::std(self, dim, unbiased, keepdim); |
| 3582 | } |
| 3583 | } // anonymous namespace |
| 3584 | namespace { |
| 3585 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_std_out(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 3586 | // No device check |
| 3587 | // DeviceGuard omitted |
| 3588 | return at::native::std_out(self, dim, unbiased, keepdim, out); |
| 3589 | } |
| 3590 | } // anonymous namespace |
| 3591 | namespace { |
| 3592 | at::Tensor wrapper_CompositeImplicitAutograd_correction_names_std(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 3593 | // No device check |
| 3594 | // DeviceGuard omitted |
| 3595 | return at::native::std(self, dim, correction, keepdim); |
| 3596 | } |
| 3597 | } // anonymous namespace |
| 3598 | namespace { |
| 3599 | at::Tensor & wrapper_CompositeImplicitAutograd_correction_names_out_std_out(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 3600 | // No device check |
| 3601 | // DeviceGuard omitted |
| 3602 | return at::native::std_out(self, dim, correction, keepdim, out); |
| 3603 | } |
| 3604 | } // anonymous namespace |
| 3605 | namespace { |
| 3606 | at::Tensor wrapper_CompositeImplicitAutograd_dim_Dimname_prod(const at::Tensor & self, at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 3607 | // No device check |
| 3608 | // DeviceGuard omitted |
| 3609 | return at::native::prod(self, dim, keepdim, dtype); |
| 3610 | } |
| 3611 | } // anonymous namespace |
| 3612 | namespace { |
| 3613 | at::Tensor & wrapper_CompositeImplicitAutograd_Dimname_out_prod_out(const at::Tensor & self, at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 3614 | // No device check |
| 3615 | // DeviceGuard omitted |
| 3616 | return at::native::prod_out(self, dim, keepdim, dtype, out); |
| 3617 | } |
| 3618 | } // anonymous namespace |
| 3619 | namespace { |
| 3620 | at::Tensor wrapper_CompositeImplicitAutograd__tensordot(const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other) { |
| 3621 | // No device check |
| 3622 | // DeviceGuard omitted |
| 3623 | return at::native::tensordot(self, other, dims_self, dims_other); |
| 3624 | } |
| 3625 | } // anonymous namespace |
| 3626 | namespace { |
| 3627 | at::Tensor wrapper_CompositeImplicitAutograd__tile(const at::Tensor & self, at::IntArrayRef dims) { |
| 3628 | // No device check |
| 3629 | // DeviceGuard omitted |
| 3630 | return at::native::tile(self, dims); |
| 3631 | } |
| 3632 | } // anonymous namespace |
| 3633 | namespace { |
| 3634 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_transpose(const at::Tensor & self, at::Dimname dim0, at::Dimname dim1) { |
| 3635 | // No device check |
| 3636 | // DeviceGuard omitted |
| 3637 | return at::native::transpose(self, dim0, dim1); |
| 3638 | } |
| 3639 | } // anonymous namespace |
| 3640 | namespace { |
| 3641 | at::Tensor wrapper_CompositeImplicitAutograd__one_hot(const at::Tensor & self, int64_t num_classes) { |
| 3642 | // No device check |
| 3643 | // DeviceGuard omitted |
| 3644 | return at::native::one_hot(self, num_classes); |
| 3645 | } |
| 3646 | } // anonymous namespace |
| 3647 | namespace { |
| 3648 | at::Tensor wrapper_CompositeImplicitAutograd__fliplr(const at::Tensor & self) { |
| 3649 | // No device check |
| 3650 | // DeviceGuard omitted |
| 3651 | return at::native::fliplr(self); |
| 3652 | } |
| 3653 | } // anonymous namespace |
| 3654 | namespace { |
| 3655 | at::Tensor wrapper_CompositeImplicitAutograd__flipud(const at::Tensor & self) { |
| 3656 | // No device check |
| 3657 | // DeviceGuard omitted |
| 3658 | return at::native::flipud(self); |
| 3659 | } |
| 3660 | } // anonymous namespace |
| 3661 | namespace { |
| 3662 | at::Tensor wrapper_CompositeImplicitAutograd_x_trapezoid(const at::Tensor & y, const at::Tensor & x, int64_t dim) { |
| 3663 | // No device check |
| 3664 | // DeviceGuard omitted |
| 3665 | return at::native::trapezoid(y, x, dim); |
| 3666 | } |
| 3667 | } // anonymous namespace |
| 3668 | namespace { |
| 3669 | at::Tensor wrapper_CompositeImplicitAutograd_dx_trapezoid(const at::Tensor & y, const at::Scalar & dx, int64_t dim) { |
| 3670 | // No device check |
| 3671 | // DeviceGuard omitted |
| 3672 | return at::native::trapezoid(y, dx, dim); |
| 3673 | } |
| 3674 | } // anonymous namespace |
| 3675 | namespace { |
| 3676 | at::Tensor wrapper_CompositeImplicitAutograd_x_trapz(const at::Tensor & y, const at::Tensor & x, int64_t dim) { |
| 3677 | // No device check |
| 3678 | // DeviceGuard omitted |
| 3679 | return at::native::trapz(y, x, dim); |
| 3680 | } |
| 3681 | } // anonymous namespace |
| 3682 | namespace { |
| 3683 | at::Tensor wrapper_CompositeImplicitAutograd_dx_trapz(const at::Tensor & y, double dx, int64_t dim) { |
| 3684 | // No device check |
| 3685 | // DeviceGuard omitted |
| 3686 | return at::native::trapz(y, dx, dim); |
| 3687 | } |
| 3688 | } // anonymous namespace |
| 3689 | namespace { |
| 3690 | at::Tensor wrapper_CompositeImplicitAutograd__triplet_margin_loss(const at::Tensor & anchor, const at::Tensor & positive, const at::Tensor & negative, double margin, double p, double eps, bool swap, int64_t reduction) { |
| 3691 | // No device check |
| 3692 | // DeviceGuard omitted |
| 3693 | return at::native::triplet_margin_loss(anchor, positive, negative, margin, p, eps, swap, reduction); |
| 3694 | } |
| 3695 | } // anonymous namespace |
| 3696 | namespace { |
| 3697 | at::Tensor wrapper_CompositeImplicitAutograd__fix(const at::Tensor & self) { |
| 3698 | // No device check |
| 3699 | // DeviceGuard omitted |
| 3700 | return at::native::fix(self); |
| 3701 | } |
| 3702 | } // anonymous namespace |
| 3703 | namespace { |
| 3704 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fix_out(const at::Tensor & self, at::Tensor & out) { |
| 3705 | // No device check |
| 3706 | // DeviceGuard omitted |
| 3707 | return at::native::fix_out(self, out); |
| 3708 | } |
| 3709 | } // anonymous namespace |
| 3710 | namespace { |
| 3711 | at::Tensor & wrapper_CompositeImplicitAutograd__fix_(at::Tensor & self) { |
| 3712 | // No device check |
| 3713 | // DeviceGuard omitted |
| 3714 | return at::native::fix_(self); |
| 3715 | } |
| 3716 | } // anonymous namespace |
| 3717 | namespace { |
| 3718 | at::Tensor wrapper_CompositeImplicitAutograd__type_as(const at::Tensor & self, const at::Tensor & other) { |
| 3719 | // No device check |
| 3720 | // DeviceGuard omitted |
| 3721 | return at::native::type_as(self, other); |
| 3722 | } |
| 3723 | } // anonymous namespace |
| 3724 | namespace { |
| 3725 | bool wrapper_CompositeImplicitAutograd___has_compatible_shallow_copy_type(const at::Tensor & self, const at::Tensor & from) { |
| 3726 | // No device check |
| 3727 | // DeviceGuard omitted |
| 3728 | return at::native::_has_compatible_shallow_copy_type(self, from); |
| 3729 | } |
| 3730 | } // anonymous namespace |
| 3731 | namespace { |
| 3732 | at::Tensor wrapper_CompositeImplicitAutograd__vander(const at::Tensor & x, c10::optional<int64_t> N, bool increasing) { |
| 3733 | // No device check |
| 3734 | // DeviceGuard omitted |
| 3735 | return at::native::vander(x, N, increasing); |
| 3736 | } |
| 3737 | } // anonymous namespace |
| 3738 | namespace { |
| 3739 | at::Tensor wrapper_CompositeImplicitAutograd__var(const at::Tensor & self, bool unbiased) { |
| 3740 | // No device check |
| 3741 | // DeviceGuard omitted |
| 3742 | return at::native::var(self, unbiased); |
| 3743 | } |
| 3744 | } // anonymous namespace |
| 3745 | namespace { |
| 3746 | at::Tensor wrapper_CompositeImplicitAutograd_dim_var(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 3747 | // No device check |
| 3748 | // DeviceGuard omitted |
| 3749 | return at::native::var(self, dim, unbiased, keepdim); |
| 3750 | } |
| 3751 | } // anonymous namespace |
| 3752 | namespace { |
| 3753 | at::Tensor & wrapper_CompositeImplicitAutograd_out_var_out(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 3754 | // No device check |
| 3755 | // DeviceGuard omitted |
| 3756 | return at::native::var_out(self, dim, unbiased, keepdim, out); |
| 3757 | } |
| 3758 | } // anonymous namespace |
| 3759 | namespace { |
| 3760 | at::Tensor wrapper_CompositeImplicitAutograd_names_dim_var(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 3761 | // No device check |
| 3762 | // DeviceGuard omitted |
| 3763 | return at::native::var(self, dim, unbiased, keepdim); |
| 3764 | } |
| 3765 | } // anonymous namespace |
| 3766 | namespace { |
| 3767 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_var_out(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 3768 | // No device check |
| 3769 | // DeviceGuard omitted |
| 3770 | return at::native::var_out(self, dim, unbiased, keepdim, out); |
| 3771 | } |
| 3772 | } // anonymous namespace |
| 3773 | namespace { |
| 3774 | at::Tensor wrapper_CompositeImplicitAutograd_correction_names_var(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 3775 | // No device check |
| 3776 | // DeviceGuard omitted |
| 3777 | return at::native::var(self, dim, correction, keepdim); |
| 3778 | } |
| 3779 | } // anonymous namespace |
| 3780 | namespace { |
| 3781 | at::Tensor & wrapper_CompositeImplicitAutograd_correction_names_out_var_out(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 3782 | // No device check |
| 3783 | // DeviceGuard omitted |
| 3784 | return at::native::var_out(self, dim, correction, keepdim, out); |
| 3785 | } |
| 3786 | } // anonymous namespace |
| 3787 | namespace { |
| 3788 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__var_mean(const at::Tensor & self, bool unbiased) { |
| 3789 | // No device check |
| 3790 | // DeviceGuard omitted |
| 3791 | return at::native::var_mean(self, unbiased); |
| 3792 | } |
| 3793 | } // anonymous namespace |
| 3794 | namespace { |
| 3795 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dim_var_mean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 3796 | // No device check |
| 3797 | // DeviceGuard omitted |
| 3798 | return at::native::var_mean(self, dim, unbiased, keepdim); |
| 3799 | } |
| 3800 | } // anonymous namespace |
| 3801 | namespace { |
| 3802 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_names_dim_var_mean(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 3803 | // No device check |
| 3804 | // DeviceGuard omitted |
| 3805 | return at::native::var_mean(self, dim, unbiased, keepdim); |
| 3806 | } |
| 3807 | } // anonymous namespace |
| 3808 | namespace { |
| 3809 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_correction_names_var_mean(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 3810 | // No device check |
| 3811 | // DeviceGuard omitted |
| 3812 | return at::native::var_mean(self, dim, correction, keepdim); |
| 3813 | } |
| 3814 | } // anonymous namespace |
| 3815 | namespace { |
| 3816 | at::Tensor wrapper_CompositeImplicitAutograd__view_as(const at::Tensor & self, const at::Tensor & other) { |
| 3817 | // No device check |
| 3818 | // DeviceGuard omitted |
| 3819 | return at::native::view_as(self, other); |
| 3820 | } |
| 3821 | } // anonymous namespace |
| 3822 | namespace { |
| 3823 | at::Tensor wrapper_CompositeImplicitAutograd_ScalarSelf_where(const at::Tensor & condition, const at::Scalar & self, const at::Tensor & other) { |
| 3824 | // No device check |
| 3825 | // DeviceGuard omitted |
| 3826 | return at::native::where(condition, self, other); |
| 3827 | } |
| 3828 | } // anonymous namespace |
| 3829 | namespace { |
| 3830 | at::Tensor wrapper_CompositeImplicitAutograd_ScalarOther_where(const at::Tensor & condition, const at::Tensor & self, const at::Scalar & other) { |
| 3831 | // No device check |
| 3832 | // DeviceGuard omitted |
| 3833 | return at::native::where(condition, self, other); |
| 3834 | } |
| 3835 | } // anonymous namespace |
| 3836 | namespace { |
| 3837 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_where(const at::Tensor & condition, const at::Scalar & self, const at::Scalar & other) { |
| 3838 | // No device check |
| 3839 | // DeviceGuard omitted |
| 3840 | return at::native::where(condition, self, other); |
| 3841 | } |
| 3842 | } // anonymous namespace |
| 3843 | namespace { |
| 3844 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__where(const at::Tensor & condition) { |
| 3845 | // No device check |
| 3846 | // DeviceGuard omitted |
| 3847 | return at::native::where(condition); |
| 3848 | } |
| 3849 | } // anonymous namespace |
| 3850 | namespace { |
| 3851 | at::Tensor wrapper_CompositeImplicitAutograd__norm_except_dim(const at::Tensor & v, int64_t pow, int64_t dim) { |
| 3852 | // No device check |
| 3853 | // DeviceGuard omitted |
| 3854 | return at::native::norm_except_dim(v, pow, dim); |
| 3855 | } |
| 3856 | } // anonymous namespace |
| 3857 | namespace { |
| 3858 | at::Tensor wrapper_CompositeImplicitAutograd___weight_norm(const at::Tensor & v, const at::Tensor & g, int64_t dim) { |
| 3859 | // No device check |
| 3860 | // DeviceGuard omitted |
| 3861 | return at::native::_weight_norm(v, g, dim); |
| 3862 | } |
| 3863 | } // anonymous namespace |
| 3864 | namespace { |
| 3865 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___weight_norm_differentiable_backward(const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim) { |
| 3866 | // No device check |
| 3867 | // DeviceGuard omitted |
| 3868 | return at::native::_weight_norm_differentiable_backward(grad_w, saved_v, saved_g, saved_norms, dim); |
| 3869 | } |
| 3870 | } // anonymous namespace |
| 3871 | namespace { |
| 3872 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_sum(const at::Tensor & self) { |
| 3873 | // No device check |
| 3874 | // DeviceGuard omitted |
| 3875 | return at::native::_sparse_sum(self); |
| 3876 | } |
| 3877 | } // anonymous namespace |
| 3878 | namespace { |
| 3879 | at::Tensor wrapper_CompositeImplicitAutograd_dtype__sparse_sum(const at::Tensor & self, at::ScalarType dtype) { |
| 3880 | // No device check |
| 3881 | // DeviceGuard omitted |
| 3882 | return at::native::_sparse_sum(self, dtype); |
| 3883 | } |
| 3884 | } // anonymous namespace |
| 3885 | namespace { |
| 3886 | at::Tensor wrapper_CompositeImplicitAutograd_dim_dtype__sparse_sum(const at::Tensor & self, at::IntArrayRef dim, at::ScalarType dtype) { |
| 3887 | // No device check |
| 3888 | // DeviceGuard omitted |
| 3889 | return at::native::_sparse_sum(self, dim, dtype); |
| 3890 | } |
| 3891 | } // anonymous namespace |
| 3892 | namespace { |
| 3893 | at::Tensor wrapper_CompositeImplicitAutograd_int__sparse_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 3894 | // No device check |
| 3895 | // DeviceGuard omitted |
| 3896 | return at::native::_sparse_softmax(self, dim, dtype); |
| 3897 | } |
| 3898 | } // anonymous namespace |
| 3899 | namespace { |
| 3900 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname__sparse_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 3901 | // No device check |
| 3902 | // DeviceGuard omitted |
| 3903 | return at::native::_sparse_softmax(self, dim, dtype); |
| 3904 | } |
| 3905 | } // anonymous namespace |
| 3906 | namespace { |
| 3907 | at::Tensor wrapper_CompositeImplicitAutograd_int__sparse_log_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 3908 | // No device check |
| 3909 | // DeviceGuard omitted |
| 3910 | return at::native::_sparse_log_softmax(self, dim, dtype); |
| 3911 | } |
| 3912 | } // anonymous namespace |
| 3913 | namespace { |
| 3914 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname__sparse_log_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 3915 | // No device check |
| 3916 | // DeviceGuard omitted |
| 3917 | return at::native::_sparse_log_softmax(self, dim, dtype); |
| 3918 | } |
| 3919 | } // anonymous namespace |
| 3920 | namespace { |
| 3921 | at::Tensor wrapper_CompositeImplicitAutograd_names_ScalarOpt_dim_dtype_norm(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) { |
| 3922 | // No device check |
| 3923 | // DeviceGuard omitted |
| 3924 | return at::native::norm(self, p, dim, keepdim, dtype); |
| 3925 | } |
| 3926 | } // anonymous namespace |
| 3927 | namespace { |
| 3928 | at::Tensor & wrapper_CompositeImplicitAutograd_names_dtype_out_norm_out(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype, at::Tensor & out) { |
| 3929 | // No device check |
| 3930 | // DeviceGuard omitted |
| 3931 | return at::native::norm_out(self, p, dim, keepdim, dtype, out); |
| 3932 | } |
| 3933 | } // anonymous namespace |
| 3934 | namespace { |
| 3935 | at::Tensor wrapper_CompositeImplicitAutograd_names_ScalarOpt_dim_norm(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim) { |
| 3936 | // No device check |
| 3937 | // DeviceGuard omitted |
| 3938 | return at::native::norm(self, p, dim, keepdim); |
| 3939 | } |
| 3940 | } // anonymous namespace |
| 3941 | namespace { |
| 3942 | at::Tensor & wrapper_CompositeImplicitAutograd_names_out_norm_out(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::Tensor & out) { |
| 3943 | // No device check |
| 3944 | // DeviceGuard omitted |
| 3945 | return at::native::norm_out(self, p, dim, keepdim, out); |
| 3946 | } |
| 3947 | } // anonymous namespace |
| 3948 | namespace { |
| 3949 | at::Tensor wrapper_CompositeImplicitAutograd_dim_frobenius_norm(const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 3950 | // No device check |
| 3951 | // DeviceGuard omitted |
| 3952 | return at::native::frobenius_norm(self, dim, keepdim); |
| 3953 | } |
| 3954 | } // anonymous namespace |
| 3955 | namespace { |
| 3956 | at::Tensor & wrapper_CompositeImplicitAutograd_out_frobenius_norm_out(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 3957 | // No device check |
| 3958 | // DeviceGuard omitted |
| 3959 | return at::native::frobenius_norm_out(self, dim, keepdim, out); |
| 3960 | } |
| 3961 | } // anonymous namespace |
| 3962 | namespace { |
| 3963 | at::Tensor wrapper_CompositeImplicitAutograd__nuclear_norm(const at::Tensor & self, bool keepdim) { |
| 3964 | // No device check |
| 3965 | // DeviceGuard omitted |
| 3966 | return at::native::nuclear_norm(self, keepdim); |
| 3967 | } |
| 3968 | } // anonymous namespace |
| 3969 | namespace { |
| 3970 | at::Tensor & wrapper_CompositeImplicitAutograd_out_nuclear_norm_out(const at::Tensor & self, bool keepdim, at::Tensor & out) { |
| 3971 | // No device check |
| 3972 | // DeviceGuard omitted |
| 3973 | return at::native::nuclear_norm_out(self, keepdim, out); |
| 3974 | } |
| 3975 | } // anonymous namespace |
| 3976 | namespace { |
| 3977 | at::Tensor wrapper_CompositeImplicitAutograd_dim_nuclear_norm(const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 3978 | // No device check |
| 3979 | // DeviceGuard omitted |
| 3980 | return at::native::nuclear_norm(self, dim, keepdim); |
| 3981 | } |
| 3982 | } // anonymous namespace |
| 3983 | namespace { |
| 3984 | at::Tensor & wrapper_CompositeImplicitAutograd_dim_out_nuclear_norm_out(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 3985 | // No device check |
| 3986 | // DeviceGuard omitted |
| 3987 | return at::native::nuclear_norm_out(self, dim, keepdim, out); |
| 3988 | } |
| 3989 | } // anonymous namespace |
| 3990 | namespace { |
| 3991 | at::Tensor wrapper_CompositeImplicitAutograd__positive(const at::Tensor & self) { |
| 3992 | // No device check |
| 3993 | // DeviceGuard omitted |
| 3994 | return at::native::positive(self); |
| 3995 | } |
| 3996 | } // anonymous namespace |
| 3997 | namespace { |
| 3998 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_subtract(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha) { |
| 3999 | // No device check |
| 4000 | // DeviceGuard omitted |
| 4001 | return at::native::subtract(self, other, alpha); |
| 4002 | } |
| 4003 | } // anonymous namespace |
| 4004 | namespace { |
| 4005 | at::Tensor & wrapper_CompositeImplicitAutograd_out_subtract_out(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) { |
| 4006 | // No device check |
| 4007 | // DeviceGuard omitted |
| 4008 | return at::native::subtract_out(self, other, alpha, out); |
| 4009 | } |
| 4010 | } // anonymous namespace |
| 4011 | namespace { |
| 4012 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_subtract_(at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha) { |
| 4013 | // No device check |
| 4014 | // DeviceGuard omitted |
| 4015 | return at::native::subtract_(self, other, alpha); |
| 4016 | } |
| 4017 | } // anonymous namespace |
| 4018 | namespace { |
| 4019 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_subtract(const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha) { |
| 4020 | // No device check |
| 4021 | // DeviceGuard omitted |
| 4022 | return at::native::subtract(self, other, alpha); |
| 4023 | } |
| 4024 | } // anonymous namespace |
| 4025 | namespace { |
| 4026 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_subtract_(at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha) { |
| 4027 | // No device check |
| 4028 | // DeviceGuard omitted |
| 4029 | return at::native::subtract_(self, other, alpha); |
| 4030 | } |
| 4031 | } // anonymous namespace |
| 4032 | namespace { |
| 4033 | at::Tensor wrapper_CompositeImplicitAutograd_comp_plain_value_size_sparse_compressed_tensor(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) { |
| 4034 | // No device check |
| 4035 | // DeviceGuard omitted |
| 4036 | return at::native::sparse_compressed_tensor(compressed_indices, plain_indices, values, size, dtype, layout, device, pin_memory); |
| 4037 | } |
| 4038 | } // anonymous namespace |
| 4039 | namespace { |
| 4040 | at::Tensor wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_csr_tensor(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) { |
| 4041 | // No device check |
| 4042 | // DeviceGuard omitted |
| 4043 | return at::native::sparse_csr_tensor(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 4044 | } |
| 4045 | } // anonymous namespace |
| 4046 | namespace { |
| 4047 | at::Tensor wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_csc_tensor(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) { |
| 4048 | // No device check |
| 4049 | // DeviceGuard omitted |
| 4050 | return at::native::sparse_csc_tensor(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 4051 | } |
| 4052 | } // anonymous namespace |
| 4053 | namespace { |
| 4054 | at::Tensor wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_bsr_tensor(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) { |
| 4055 | // No device check |
| 4056 | // DeviceGuard omitted |
| 4057 | return at::native::sparse_bsr_tensor(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 4058 | } |
| 4059 | } // anonymous namespace |
| 4060 | namespace { |
| 4061 | at::Tensor wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_bsc_tensor(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) { |
| 4062 | // No device check |
| 4063 | // DeviceGuard omitted |
| 4064 | return at::native::sparse_bsc_tensor(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 4065 | } |
| 4066 | } // anonymous namespace |
| 4067 | namespace { |
| 4068 | at::Tensor wrapper_CompositeImplicitAutograd_comp_plain_value_sparse_compressed_tensor(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) { |
| 4069 | // No device check |
| 4070 | // DeviceGuard omitted |
| 4071 | return at::native::sparse_compressed_tensor(compressed_indices, plain_indices, values, dtype, layout, device, pin_memory); |
| 4072 | } |
| 4073 | } // anonymous namespace |
| 4074 | namespace { |
| 4075 | at::Tensor wrapper_CompositeImplicitAutograd_crow_col_value_sparse_csr_tensor(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) { |
| 4076 | // No device check |
| 4077 | // DeviceGuard omitted |
| 4078 | return at::native::sparse_csr_tensor(crow_indices, col_indices, values, dtype, layout, device, pin_memory); |
| 4079 | } |
| 4080 | } // anonymous namespace |
| 4081 | namespace { |
| 4082 | at::Tensor wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_csc_tensor(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) { |
| 4083 | // No device check |
| 4084 | // DeviceGuard omitted |
| 4085 | return at::native::sparse_csc_tensor(ccol_indices, row_indices, values, dtype, layout, device, pin_memory); |
| 4086 | } |
| 4087 | } // anonymous namespace |
| 4088 | namespace { |
| 4089 | at::Tensor wrapper_CompositeImplicitAutograd_crow_col_value_sparse_bsr_tensor(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) { |
| 4090 | // No device check |
| 4091 | // DeviceGuard omitted |
| 4092 | return at::native::sparse_bsr_tensor(crow_indices, col_indices, values, dtype, layout, device, pin_memory); |
| 4093 | } |
| 4094 | } // anonymous namespace |
| 4095 | namespace { |
| 4096 | at::Tensor wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_bsc_tensor(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) { |
| 4097 | // No device check |
| 4098 | // DeviceGuard omitted |
| 4099 | return at::native::sparse_bsc_tensor(ccol_indices, row_indices, values, dtype, layout, device, pin_memory); |
| 4100 | } |
| 4101 | } // anonymous namespace |
| 4102 | namespace { |
| 4103 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_compressed_tensor_unsafe(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) { |
| 4104 | // No device check |
| 4105 | // DeviceGuard omitted |
| 4106 | return at::native::_sparse_compressed_tensor_unsafe(compressed_indices, plain_indices, values, size, dtype, layout, device, pin_memory); |
| 4107 | } |
| 4108 | } // anonymous namespace |
| 4109 | namespace { |
| 4110 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_csr_tensor_unsafe(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) { |
| 4111 | // No device check |
| 4112 | // DeviceGuard omitted |
| 4113 | return at::native::_sparse_csr_tensor_unsafe(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 4114 | } |
| 4115 | } // anonymous namespace |
| 4116 | namespace { |
| 4117 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_csc_tensor_unsafe(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) { |
| 4118 | // No device check |
| 4119 | // DeviceGuard omitted |
| 4120 | return at::native::_sparse_csc_tensor_unsafe(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 4121 | } |
| 4122 | } // anonymous namespace |
| 4123 | namespace { |
| 4124 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_bsr_tensor_unsafe(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) { |
| 4125 | // No device check |
| 4126 | // DeviceGuard omitted |
| 4127 | return at::native::_sparse_bsr_tensor_unsafe(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 4128 | } |
| 4129 | } // anonymous namespace |
| 4130 | namespace { |
| 4131 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_bsc_tensor_unsafe(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) { |
| 4132 | // No device check |
| 4133 | // DeviceGuard omitted |
| 4134 | return at::native::_sparse_bsc_tensor_unsafe(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 4135 | } |
| 4136 | } // anonymous namespace |
| 4137 | namespace { |
| 4138 | at::Tensor wrapper_CompositeImplicitAutograd_indices_sparse_coo_tensor(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) { |
| 4139 | // No device check |
| 4140 | // DeviceGuard omitted |
| 4141 | return at::native::sparse_coo_tensor(indices, values, dtype, layout, device, pin_memory); |
| 4142 | } |
| 4143 | } // anonymous namespace |
| 4144 | namespace { |
| 4145 | at::Tensor wrapper_CompositeImplicitAutograd_indices_size_sparse_coo_tensor(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) { |
| 4146 | // No device check |
| 4147 | // DeviceGuard omitted |
| 4148 | return at::native::sparse_coo_tensor(indices, values, size, dtype, layout, device, pin_memory); |
| 4149 | } |
| 4150 | } // anonymous namespace |
| 4151 | namespace { |
| 4152 | at::Tensor wrapper_CompositeImplicitAutograd___sparse_coo_tensor_unsafe(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) { |
| 4153 | // No device check |
| 4154 | // DeviceGuard omitted |
| 4155 | return at::native::_sparse_coo_tensor_unsafe_symint(indices, values, size, dtype, layout, device, pin_memory); |
| 4156 | } |
| 4157 | } // anonymous namespace |
| 4158 | namespace { |
| 4159 | void wrapper_CompositeImplicitAutograd___validate_sparse_coo_tensor_args(const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size) { |
| 4160 | // No device check |
| 4161 | // DeviceGuard omitted |
| 4162 | return at::native::_validate_sparse_coo_tensor_args(indices, values, size); |
| 4163 | } |
| 4164 | } // anonymous namespace |
| 4165 | namespace { |
| 4166 | void wrapper_CompositeImplicitAutograd___validate_sparse_compressed_tensor_args(const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, at::Layout layout) { |
| 4167 | // No device check |
| 4168 | // DeviceGuard omitted |
| 4169 | return at::native::_validate_sparse_compressed_tensor_args(compressed_indices, plain_indices, values, size, layout); |
| 4170 | } |
| 4171 | } // anonymous namespace |
| 4172 | namespace { |
| 4173 | void wrapper_CompositeImplicitAutograd___validate_sparse_csr_tensor_args(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 4174 | // No device check |
| 4175 | // DeviceGuard omitted |
| 4176 | return at::native::_validate_sparse_csr_tensor_args(crow_indices, col_indices, values, size); |
| 4177 | } |
| 4178 | } // anonymous namespace |
| 4179 | namespace { |
| 4180 | void wrapper_CompositeImplicitAutograd___validate_sparse_csc_tensor_args(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 4181 | // No device check |
| 4182 | // DeviceGuard omitted |
| 4183 | return at::native::_validate_sparse_csc_tensor_args(ccol_indices, row_indices, values, size); |
| 4184 | } |
| 4185 | } // anonymous namespace |
| 4186 | namespace { |
| 4187 | void wrapper_CompositeImplicitAutograd___validate_sparse_bsr_tensor_args(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 4188 | // No device check |
| 4189 | // DeviceGuard omitted |
| 4190 | return at::native::_validate_sparse_bsr_tensor_args(crow_indices, col_indices, values, size); |
| 4191 | } |
| 4192 | } // anonymous namespace |
| 4193 | namespace { |
| 4194 | void wrapper_CompositeImplicitAutograd___validate_sparse_bsc_tensor_args(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 4195 | // No device check |
| 4196 | // DeviceGuard omitted |
| 4197 | return at::native::_validate_sparse_bsc_tensor_args(ccol_indices, row_indices, values, size); |
| 4198 | } |
| 4199 | } // anonymous namespace |
| 4200 | namespace { |
| 4201 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd___to_cpu(at::TensorList tensors) { |
| 4202 | // No device check |
| 4203 | // DeviceGuard omitted |
| 4204 | return at::native::_to_cpu(tensors); |
| 4205 | } |
| 4206 | } // anonymous namespace |
| 4207 | namespace { |
| 4208 | at::Tensor wrapper_CompositeImplicitAutograd__to_dense(const at::Tensor & self, c10::optional<at::ScalarType> dtype) { |
| 4209 | // No device check |
| 4210 | // DeviceGuard omitted |
| 4211 | return at::native::to_dense(self, dtype); |
| 4212 | } |
| 4213 | } // anonymous namespace |
| 4214 | namespace { |
| 4215 | at::Tensor wrapper_CompositeImplicitAutograd__to_dense_backward(const at::Tensor & grad, const at::Tensor & input) { |
| 4216 | // No device check |
| 4217 | // DeviceGuard omitted |
| 4218 | return at::native::to_dense_backward(grad, input); |
| 4219 | } |
| 4220 | } // anonymous namespace |
| 4221 | namespace { |
| 4222 | at::Tensor wrapper_CompositeImplicitAutograd__coalesce(const at::Tensor & self) { |
| 4223 | // No device check |
| 4224 | // DeviceGuard omitted |
| 4225 | return at::native::coalesce(self); |
| 4226 | } |
| 4227 | } // anonymous namespace |
| 4228 | namespace { |
| 4229 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_Dimname_unbind(const at::Tensor & self, at::Dimname dim) { |
| 4230 | // No device check |
| 4231 | // DeviceGuard omitted |
| 4232 | return at::native::unbind(self, dim); |
| 4233 | } |
| 4234 | } // anonymous namespace |
| 4235 | namespace { |
| 4236 | at::Tensor wrapper_CompositeImplicitAutograd__to_mkldnn_backward(const at::Tensor & grad, const at::Tensor & input) { |
| 4237 | // No device check |
| 4238 | // DeviceGuard omitted |
| 4239 | return at::native::to_mkldnn_backward(grad, input); |
| 4240 | } |
| 4241 | } // anonymous namespace |
| 4242 | namespace { |
| 4243 | at::Tensor wrapper_CompositeImplicitAutograd__fake_quantize_per_tensor_affine(const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) { |
| 4244 | // No device check |
| 4245 | // DeviceGuard omitted |
| 4246 | return at::native::fake_quantize_per_tensor_affine(self, scale, zero_point, quant_min, quant_max); |
| 4247 | } |
| 4248 | } // anonymous namespace |
| 4249 | namespace { |
| 4250 | at::Tensor wrapper_CompositeImplicitAutograd_tensor_qparams_fake_quantize_per_tensor_affine(const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max) { |
| 4251 | // No device check |
| 4252 | // DeviceGuard omitted |
| 4253 | return at::native::fake_quantize_per_tensor_affine(self, scale, zero_point, quant_min, quant_max); |
| 4254 | } |
| 4255 | } // anonymous namespace |
| 4256 | namespace { |
| 4257 | at::Tensor wrapper_CompositeImplicitAutograd__fake_quantize_per_tensor_affine_cachemask_backward(const at::Tensor & grad, const at::Tensor & mask) { |
| 4258 | // No device check |
| 4259 | // DeviceGuard omitted |
| 4260 | return at::native::fake_quantize_per_tensor_affine_cachemask_backward(grad, mask); |
| 4261 | } |
| 4262 | } // anonymous namespace |
| 4263 | namespace { |
| 4264 | at::Tensor wrapper_CompositeImplicitAutograd__fake_quantize_per_channel_affine(const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max) { |
| 4265 | // No device check |
| 4266 | // DeviceGuard omitted |
| 4267 | return at::native::fake_quantize_per_channel_affine(self, scale, zero_point, axis, quant_min, quant_max); |
| 4268 | } |
| 4269 | } // anonymous namespace |
| 4270 | namespace { |
| 4271 | at::Tensor wrapper_CompositeImplicitAutograd__fake_quantize_per_channel_affine_cachemask_backward(const at::Tensor & grad, const at::Tensor & mask) { |
| 4272 | // No device check |
| 4273 | // DeviceGuard omitted |
| 4274 | return at::native::fake_quantize_per_channel_affine_cachemask_backward(grad, mask); |
| 4275 | } |
| 4276 | } // anonymous namespace |
| 4277 | namespace { |
| 4278 | at::Tensor wrapper_CompositeImplicitAutograd__fused_moving_avg_obs_fake_quant(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) { |
| 4279 | // No device check |
| 4280 | // DeviceGuard omitted |
| 4281 | return at::native::fused_moving_avg_obs_fake_quant(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); |
| 4282 | } |
| 4283 | } // anonymous namespace |
| 4284 | namespace { |
| 4285 | ::std::tuple<double,int64_t> wrapper_CompositeImplicitAutograd___choose_qparams_per_tensor(const at::Tensor & self, bool reduce_range) { |
| 4286 | // No device check |
| 4287 | // DeviceGuard omitted |
| 4288 | return at::native::_choose_qparams_per_tensor(self, reduce_range); |
| 4289 | } |
| 4290 | } // anonymous namespace |
| 4291 | namespace { |
| 4292 | at::Tensor wrapper_CompositeImplicitAutograd___saturate_weight_to_fp16(const at::Tensor & weight) { |
| 4293 | // No device check |
| 4294 | // DeviceGuard omitted |
| 4295 | return at::native::_saturate_weight_to_fp16(weight); |
| 4296 | } |
| 4297 | } // anonymous namespace |
| 4298 | namespace { |
| 4299 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__choose_qparams_optimized(const at::Tensor & input, int64_t numel, int64_t n_bins, double ratio, int64_t bit_width) { |
| 4300 | // No device check |
| 4301 | // DeviceGuard omitted |
| 4302 | return at::native::choose_qparams_optimized(input, numel, n_bins, ratio, bit_width); |
| 4303 | } |
| 4304 | } // anonymous namespace |
| 4305 | namespace { |
| 4306 | at::Tensor wrapper_CompositeImplicitAutograd___autocast_to_reduced_precision(const at::Tensor & self, bool cuda_enabled, bool cpu_enabled, at::ScalarType cuda_dtype, at::ScalarType cpu_dtype) { |
| 4307 | // No device check |
| 4308 | // DeviceGuard omitted |
| 4309 | return at::native::_autocast_to_reduced_precision(self, cuda_enabled, cpu_enabled, cuda_dtype, cpu_dtype); |
| 4310 | } |
| 4311 | } // anonymous namespace |
| 4312 | namespace { |
| 4313 | at::Tensor wrapper_CompositeImplicitAutograd___autocast_to_full_precision(const at::Tensor & self, bool cuda_enabled, bool cpu_enabled) { |
| 4314 | // No device check |
| 4315 | // DeviceGuard omitted |
| 4316 | return at::native::_autocast_to_full_precision(self, cuda_enabled, cpu_enabled); |
| 4317 | } |
| 4318 | } // anonymous namespace |
| 4319 | namespace { |
| 4320 | at::Tensor wrapper_CompositeImplicitAutograd_dtype_layout_to(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) { |
| 4321 | // No device check |
| 4322 | // DeviceGuard omitted |
| 4323 | return at::native::to(self, dtype, layout, device, pin_memory, non_blocking, copy, memory_format); |
| 4324 | } |
| 4325 | } // anonymous namespace |
| 4326 | namespace { |
| 4327 | at::Tensor wrapper_CompositeImplicitAutograd_device_to(const at::Tensor & self, at::Device device, at::ScalarType dtype, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 4328 | // No device check |
| 4329 | // DeviceGuard omitted |
| 4330 | return at::native::to(self, device, dtype, non_blocking, copy, memory_format); |
| 4331 | } |
| 4332 | } // anonymous namespace |
| 4333 | namespace { |
| 4334 | at::Tensor wrapper_CompositeImplicitAutograd_dtype_to(const at::Tensor & self, at::ScalarType dtype, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 4335 | // No device check |
| 4336 | // DeviceGuard omitted |
| 4337 | return at::native::to(self, dtype, non_blocking, copy, memory_format); |
| 4338 | } |
| 4339 | } // anonymous namespace |
| 4340 | namespace { |
| 4341 | at::Tensor wrapper_CompositeImplicitAutograd_other_to(const at::Tensor & self, const at::Tensor & other, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 4342 | // No device check |
| 4343 | // DeviceGuard omitted |
| 4344 | return at::native::to(self, other, non_blocking, copy, memory_format); |
| 4345 | } |
| 4346 | } // anonymous namespace |
| 4347 | namespace { |
| 4348 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__meshgrid(at::TensorList tensors) { |
| 4349 | // No device check |
| 4350 | // DeviceGuard omitted |
| 4351 | return at::native::meshgrid(tensors); |
| 4352 | } |
| 4353 | } // anonymous namespace |
| 4354 | namespace { |
| 4355 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd_indexing_meshgrid(at::TensorList tensors, c10::string_view indexing) { |
| 4356 | // No device check |
| 4357 | // DeviceGuard omitted |
| 4358 | return at::native::meshgrid(tensors, indexing); |
| 4359 | } |
| 4360 | } // anonymous namespace |
| 4361 | namespace { |
| 4362 | at::Tensor wrapper_CompositeImplicitAutograd__cartesian_prod(at::TensorList tensors) { |
| 4363 | // No device check |
| 4364 | // DeviceGuard omitted |
| 4365 | return at::native::cartesian_prod(tensors); |
| 4366 | } |
| 4367 | } // anonymous namespace |
| 4368 | namespace { |
| 4369 | at::Tensor wrapper_CompositeImplicitAutograd__combinations(const at::Tensor & self, int64_t r, bool with_replacement) { |
| 4370 | // No device check |
| 4371 | // DeviceGuard omitted |
| 4372 | return at::native::combinations(self, r, with_replacement); |
| 4373 | } |
| 4374 | } // anonymous namespace |
| 4375 | namespace { |
| 4376 | at::Scalar wrapper_CompositeImplicitAutograd__item(const at::Tensor & self) { |
| 4377 | // No device check |
| 4378 | // DeviceGuard omitted |
| 4379 | return at::native::item(self); |
| 4380 | } |
| 4381 | } // anonymous namespace |
| 4382 | namespace { |
| 4383 | at::ScalarType wrapper_CompositeImplicitAutograd_Tensor_result_type(const at::Tensor & tensor, const at::Tensor & other) { |
| 4384 | // No device check |
| 4385 | // DeviceGuard omitted |
| 4386 | return at::native::result_type(tensor, other); |
| 4387 | } |
| 4388 | } // anonymous namespace |
| 4389 | namespace { |
| 4390 | at::ScalarType wrapper_CompositeImplicitAutograd_Scalar_result_type(const at::Tensor & tensor, const at::Scalar & other) { |
| 4391 | // No device check |
| 4392 | // DeviceGuard omitted |
| 4393 | return at::native::result_type(tensor, other); |
| 4394 | } |
| 4395 | } // anonymous namespace |
| 4396 | namespace { |
| 4397 | at::ScalarType wrapper_CompositeImplicitAutograd_Scalar_Tensor_result_type(const at::Scalar & scalar, const at::Tensor & tensor) { |
| 4398 | // No device check |
| 4399 | // DeviceGuard omitted |
| 4400 | return at::native::result_type(scalar, tensor); |
| 4401 | } |
| 4402 | } // anonymous namespace |
| 4403 | namespace { |
| 4404 | at::ScalarType wrapper_CompositeImplicitAutograd_Scalar_Scalar_result_type(const at::Scalar & scalar1, const at::Scalar & scalar2) { |
| 4405 | // No device check |
| 4406 | // DeviceGuard omitted |
| 4407 | return at::native::result_type(scalar1, scalar2); |
| 4408 | } |
| 4409 | } // anonymous namespace |
| 4410 | namespace { |
| 4411 | bool wrapper_CompositeImplicitAutograd__can_cast(at::ScalarType from, at::ScalarType to) { |
| 4412 | // No device check |
| 4413 | // DeviceGuard omitted |
| 4414 | return at::native::can_cast(from, to); |
| 4415 | } |
| 4416 | } // anonymous namespace |
| 4417 | namespace { |
| 4418 | at::ScalarType wrapper_CompositeImplicitAutograd__promote_types(at::ScalarType type1, at::ScalarType type2) { |
| 4419 | // No device check |
| 4420 | // DeviceGuard omitted |
| 4421 | return at::native::promote_types(type1, type2); |
| 4422 | } |
| 4423 | } // anonymous namespace |
| 4424 | namespace { |
| 4425 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___thnn_fused_lstm_cell_backward(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) { |
| 4426 | // No device check |
| 4427 | // DeviceGuard omitted |
| 4428 | return at::native::_thnn_fused_lstm_cell_backward(grad_hy, grad_cy, cx, cy, workspace, has_bias); |
| 4429 | } |
| 4430 | } // anonymous namespace |
| 4431 | namespace { |
| 4432 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___thnn_differentiable_lstm_cell_backward(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) { |
| 4433 | // No device check |
| 4434 | // DeviceGuard omitted |
| 4435 | return at::native::_thnn_differentiable_lstm_cell_backward(grad_hy, grad_cy, input_gates, hidden_gates, input_bias, hidden_bias, cx, cy); |
| 4436 | } |
| 4437 | } // anonymous namespace |
| 4438 | namespace { |
| 4439 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___thnn_differentiable_gru_cell_backward(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) { |
| 4440 | // No device check |
| 4441 | // DeviceGuard omitted |
| 4442 | return at::native::_thnn_differentiable_gru_cell_backward(grad_hy, input_gates, hidden_gates, hx, input_bias, hidden_bias); |
| 4443 | } |
| 4444 | } // anonymous namespace |
| 4445 | namespace { |
| 4446 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_input_lstm(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) { |
| 4447 | // No device check |
| 4448 | // DeviceGuard omitted |
| 4449 | return at::native::lstm(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 4450 | } |
| 4451 | } // anonymous namespace |
| 4452 | namespace { |
| 4453 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_data_lstm(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) { |
| 4454 | // No device check |
| 4455 | // DeviceGuard omitted |
| 4456 | return at::native::lstm(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 4457 | } |
| 4458 | } // anonymous namespace |
| 4459 | namespace { |
| 4460 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_input_gru(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) { |
| 4461 | // No device check |
| 4462 | // DeviceGuard omitted |
| 4463 | return at::native::gru(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 4464 | } |
| 4465 | } // anonymous namespace |
| 4466 | namespace { |
| 4467 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_data_gru(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) { |
| 4468 | // No device check |
| 4469 | // DeviceGuard omitted |
| 4470 | return at::native::gru(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 4471 | } |
| 4472 | } // anonymous namespace |
| 4473 | namespace { |
| 4474 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_input_rnn_tanh(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) { |
| 4475 | // No device check |
| 4476 | // DeviceGuard omitted |
| 4477 | return at::native::rnn_tanh(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 4478 | } |
| 4479 | } // anonymous namespace |
| 4480 | namespace { |
| 4481 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_data_rnn_tanh(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) { |
| 4482 | // No device check |
| 4483 | // DeviceGuard omitted |
| 4484 | return at::native::rnn_tanh(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 4485 | } |
| 4486 | } // anonymous namespace |
| 4487 | namespace { |
| 4488 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_input_rnn_relu(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) { |
| 4489 | // No device check |
| 4490 | // DeviceGuard omitted |
| 4491 | return at::native::rnn_relu(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 4492 | } |
| 4493 | } // anonymous namespace |
| 4494 | namespace { |
| 4495 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_data_rnn_relu(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) { |
| 4496 | // No device check |
| 4497 | // DeviceGuard omitted |
| 4498 | return at::native::rnn_relu(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 4499 | } |
| 4500 | } // anonymous namespace |
| 4501 | namespace { |
| 4502 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__lstm_cell(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) { |
| 4503 | // No device check |
| 4504 | // DeviceGuard omitted |
| 4505 | return at::native::lstm_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 4506 | } |
| 4507 | } // anonymous namespace |
| 4508 | namespace { |
| 4509 | at::Tensor wrapper_CompositeImplicitAutograd__gru_cell(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) { |
| 4510 | // No device check |
| 4511 | // DeviceGuard omitted |
| 4512 | return at::native::gru_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 4513 | } |
| 4514 | } // anonymous namespace |
| 4515 | namespace { |
| 4516 | at::Tensor wrapper_CompositeImplicitAutograd__rnn_tanh_cell(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) { |
| 4517 | // No device check |
| 4518 | // DeviceGuard omitted |
| 4519 | return at::native::rnn_tanh_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 4520 | } |
| 4521 | } // anonymous namespace |
| 4522 | namespace { |
| 4523 | at::Tensor wrapper_CompositeImplicitAutograd__rnn_relu_cell(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) { |
| 4524 | // No device check |
| 4525 | // DeviceGuard omitted |
| 4526 | return at::native::rnn_relu_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 4527 | } |
| 4528 | } // anonymous namespace |
| 4529 | namespace { |
| 4530 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__quantized_lstm_cell(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) { |
| 4531 | // No device check |
| 4532 | // DeviceGuard omitted |
| 4533 | return at::native::quantized_lstm_cell(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); |
| 4534 | } |
| 4535 | } // anonymous namespace |
| 4536 | namespace { |
| 4537 | at::Tensor wrapper_CompositeImplicitAutograd__quantized_gru_cell(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) { |
| 4538 | // No device check |
| 4539 | // DeviceGuard omitted |
| 4540 | return at::native::quantized_gru_cell(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); |
| 4541 | } |
| 4542 | } // anonymous namespace |
| 4543 | namespace { |
| 4544 | at::Tensor wrapper_CompositeImplicitAutograd__quantized_rnn_relu_cell(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) { |
| 4545 | // No device check |
| 4546 | // DeviceGuard omitted |
| 4547 | return at::native::quantized_rnn_relu_cell(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); |
| 4548 | } |
| 4549 | } // anonymous namespace |
| 4550 | namespace { |
| 4551 | at::Tensor wrapper_CompositeImplicitAutograd__quantized_rnn_tanh_cell(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) { |
| 4552 | // No device check |
| 4553 | // DeviceGuard omitted |
| 4554 | return at::native::quantized_rnn_tanh_cell(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); |
| 4555 | } |
| 4556 | } // anonymous namespace |
| 4557 | namespace { |
| 4558 | at::Tensor wrapper_CompositeImplicitAutograd___pack_padded_sequence_backward(const at::Tensor & grad, c10::SymIntArrayRef input_size, const at::Tensor & batch_sizes, bool batch_first) { |
| 4559 | // No device check |
| 4560 | // DeviceGuard omitted |
| 4561 | return at::native::_pack_padded_sequence_backward_symint(grad, input_size, batch_sizes, batch_first); |
| 4562 | } |
| 4563 | } // anonymous namespace |
| 4564 | namespace { |
| 4565 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___pad_packed_sequence(const at::Tensor & data, const at::Tensor & batch_sizes, bool batch_first, const at::Scalar & padding_value, int64_t total_length) { |
| 4566 | // No device check |
| 4567 | // DeviceGuard omitted |
| 4568 | return at::native::_pad_packed_sequence(data, batch_sizes, batch_first, padding_value, total_length); |
| 4569 | } |
| 4570 | } // anonymous namespace |
| 4571 | namespace { |
| 4572 | at::Tensor & wrapper_CompositeImplicitAutograd_source_Tensor_storage_offset_set_(at::Tensor & self, const at::Tensor & source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) { |
| 4573 | // No device check |
| 4574 | // DeviceGuard omitted |
| 4575 | return at::native::set__symint(self, source, storage_offset, size, stride); |
| 4576 | } |
| 4577 | } // anonymous namespace |
| 4578 | namespace { |
| 4579 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_index_add(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha) { |
| 4580 | // No device check |
| 4581 | // DeviceGuard omitted |
| 4582 | return at::native::index_add(self, dim, index, source, alpha); |
| 4583 | } |
| 4584 | } // anonymous namespace |
| 4585 | namespace { |
| 4586 | at::Tensor & wrapper_CompositeImplicitAutograd_Dimname_Scalar_index_fill_(at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 4587 | // No device check |
| 4588 | // DeviceGuard omitted |
| 4589 | return at::native::index_fill_(self, dim, index, value); |
| 4590 | } |
| 4591 | } // anonymous namespace |
| 4592 | namespace { |
| 4593 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_Scalar_index_fill(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 4594 | // No device check |
| 4595 | // DeviceGuard omitted |
| 4596 | return at::native::index_fill(self, dim, index, value); |
| 4597 | } |
| 4598 | } // anonymous namespace |
| 4599 | namespace { |
| 4600 | at::Tensor & wrapper_CompositeImplicitAutograd_Dimname_Tensor_index_fill_(at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) { |
| 4601 | // No device check |
| 4602 | // DeviceGuard omitted |
| 4603 | return at::native::index_fill_(self, dim, index, value); |
| 4604 | } |
| 4605 | } // anonymous namespace |
| 4606 | namespace { |
| 4607 | at::Tensor wrapper_CompositeImplicitAutograd_Dimname_Tensor_index_fill(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) { |
| 4608 | // No device check |
| 4609 | // DeviceGuard omitted |
| 4610 | return at::native::index_fill(self, dim, index, value); |
| 4611 | } |
| 4612 | } // anonymous namespace |
| 4613 | namespace { |
| 4614 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_src_scatter(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) { |
| 4615 | // No device check |
| 4616 | // DeviceGuard omitted |
| 4617 | return at::native::scatter(self, dim, index, src); |
| 4618 | } |
| 4619 | } // anonymous namespace |
| 4620 | namespace { |
| 4621 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_value_scatter(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 4622 | // No device check |
| 4623 | // DeviceGuard omitted |
| 4624 | return at::native::scatter(self, dim, index, value); |
| 4625 | } |
| 4626 | } // anonymous namespace |
| 4627 | namespace { |
| 4628 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_scatter_add(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) { |
| 4629 | // No device check |
| 4630 | // DeviceGuard omitted |
| 4631 | return at::native::scatter_add(self, dim, index, src); |
| 4632 | } |
| 4633 | } // anonymous namespace |
| 4634 | namespace { |
| 4635 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_bitwise_and_(at::Tensor & self, const at::Scalar & other) { |
| 4636 | // No device check |
| 4637 | // DeviceGuard omitted |
| 4638 | return at::native::bitwise_and_(self, other); |
| 4639 | } |
| 4640 | } // anonymous namespace |
| 4641 | namespace { |
| 4642 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar___and__(const at::Tensor & self, const at::Scalar & other) { |
| 4643 | // No device check |
| 4644 | // DeviceGuard omitted |
| 4645 | return at::native::__and__(self, other); |
| 4646 | } |
| 4647 | } // anonymous namespace |
| 4648 | namespace { |
| 4649 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar___iand__(at::Tensor & self, const at::Scalar & other) { |
| 4650 | // No device check |
| 4651 | // DeviceGuard omitted |
| 4652 | return at::native::__iand__(self, other); |
| 4653 | } |
| 4654 | } // anonymous namespace |
| 4655 | namespace { |
| 4656 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor___and__(const at::Tensor & self, const at::Tensor & other) { |
| 4657 | // No device check |
| 4658 | // DeviceGuard omitted |
| 4659 | return at::native::__and__(self, other); |
| 4660 | } |
| 4661 | } // anonymous namespace |
| 4662 | namespace { |
| 4663 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor___iand__(at::Tensor & self, const at::Tensor & other) { |
| 4664 | // No device check |
| 4665 | // DeviceGuard omitted |
| 4666 | return at::native::__iand__(self, other); |
| 4667 | } |
| 4668 | } // anonymous namespace |
| 4669 | namespace { |
| 4670 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_bitwise_or(const at::Tensor & self, const at::Scalar & other) { |
| 4671 | // No device check |
| 4672 | // DeviceGuard omitted |
| 4673 | return at::native::bitwise_or(self, other); |
| 4674 | } |
| 4675 | } // anonymous namespace |
| 4676 | namespace { |
| 4677 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_bitwise_or_(at::Tensor & self, const at::Scalar & other) { |
| 4678 | // No device check |
| 4679 | // DeviceGuard omitted |
| 4680 | return at::native::bitwise_or_(self, other); |
| 4681 | } |
| 4682 | } // anonymous namespace |
| 4683 | namespace { |
| 4684 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar___or__(const at::Tensor & self, const at::Scalar & other) { |
| 4685 | // No device check |
| 4686 | // DeviceGuard omitted |
| 4687 | return at::native::__or__(self, other); |
| 4688 | } |
| 4689 | } // anonymous namespace |
| 4690 | namespace { |
| 4691 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar___ior__(at::Tensor & self, const at::Scalar & other) { |
| 4692 | // No device check |
| 4693 | // DeviceGuard omitted |
| 4694 | return at::native::__ior__(self, other); |
| 4695 | } |
| 4696 | } // anonymous namespace |
| 4697 | namespace { |
| 4698 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor___or__(const at::Tensor & self, const at::Tensor & other) { |
| 4699 | // No device check |
| 4700 | // DeviceGuard omitted |
| 4701 | return at::native::__or__(self, other); |
| 4702 | } |
| 4703 | } // anonymous namespace |
| 4704 | namespace { |
| 4705 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor___ior__(at::Tensor & self, const at::Tensor & other) { |
| 4706 | // No device check |
| 4707 | // DeviceGuard omitted |
| 4708 | return at::native::__ior__(self, other); |
| 4709 | } |
| 4710 | } // anonymous namespace |
| 4711 | namespace { |
| 4712 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_bitwise_xor(const at::Tensor & self, const at::Scalar & other) { |
| 4713 | // No device check |
| 4714 | // DeviceGuard omitted |
| 4715 | return at::native::bitwise_xor(self, other); |
| 4716 | } |
| 4717 | } // anonymous namespace |
| 4718 | namespace { |
| 4719 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_bitwise_xor_(at::Tensor & self, const at::Scalar & other) { |
| 4720 | // No device check |
| 4721 | // DeviceGuard omitted |
| 4722 | return at::native::bitwise_xor_(self, other); |
| 4723 | } |
| 4724 | } // anonymous namespace |
| 4725 | namespace { |
| 4726 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar___xor__(const at::Tensor & self, const at::Scalar & other) { |
| 4727 | // No device check |
| 4728 | // DeviceGuard omitted |
| 4729 | return at::native::__xor__(self, other); |
| 4730 | } |
| 4731 | } // anonymous namespace |
| 4732 | namespace { |
| 4733 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar___ixor__(at::Tensor & self, const at::Scalar & other) { |
| 4734 | // No device check |
| 4735 | // DeviceGuard omitted |
| 4736 | return at::native::__ixor__(self, other); |
| 4737 | } |
| 4738 | } // anonymous namespace |
| 4739 | namespace { |
| 4740 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor___xor__(const at::Tensor & self, const at::Tensor & other) { |
| 4741 | // No device check |
| 4742 | // DeviceGuard omitted |
| 4743 | return at::native::__xor__(self, other); |
| 4744 | } |
| 4745 | } // anonymous namespace |
| 4746 | namespace { |
| 4747 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor___ixor__(at::Tensor & self, const at::Tensor & other) { |
| 4748 | // No device check |
| 4749 | // DeviceGuard omitted |
| 4750 | return at::native::__ixor__(self, other); |
| 4751 | } |
| 4752 | } // anonymous namespace |
| 4753 | namespace { |
| 4754 | at::Tensor wrapper_CompositeImplicitAutograd__diag(const at::Tensor & self, int64_t diagonal) { |
| 4755 | // No device check |
| 4756 | // DeviceGuard omitted |
| 4757 | return at::native::diag(self, diagonal); |
| 4758 | } |
| 4759 | } // anonymous namespace |
| 4760 | namespace { |
| 4761 | at::Tensor & wrapper_CompositeImplicitAutograd_out_diag_out(const at::Tensor & self, int64_t diagonal, at::Tensor & out) { |
| 4762 | // No device check |
| 4763 | // DeviceGuard omitted |
| 4764 | return at::native::diag_out(self, diagonal, out); |
| 4765 | } |
| 4766 | } // anonymous namespace |
| 4767 | namespace { |
| 4768 | at::Tensor wrapper_CompositeImplicitAutograd__cross(const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim) { |
| 4769 | // No device check |
| 4770 | // DeviceGuard omitted |
| 4771 | return at::native::cross(self, other, dim); |
| 4772 | } |
| 4773 | } // anonymous namespace |
| 4774 | namespace { |
| 4775 | at::Tensor & wrapper_CompositeImplicitAutograd_out_cross_out(const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim, at::Tensor & out) { |
| 4776 | // No device check |
| 4777 | // DeviceGuard omitted |
| 4778 | return at::native::cross_out(self, other, dim, out); |
| 4779 | } |
| 4780 | } // anonymous namespace |
| 4781 | namespace { |
| 4782 | at::Tensor wrapper_CompositeImplicitAutograd__trace_backward(const at::Tensor & grad, c10::SymIntArrayRef sizes) { |
| 4783 | // No device check |
| 4784 | // DeviceGuard omitted |
| 4785 | return at::native::trace_backward_symint(grad, sizes); |
| 4786 | } |
| 4787 | } // anonymous namespace |
| 4788 | namespace { |
| 4789 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_not_equal(const at::Tensor & self, const at::Scalar & other) { |
| 4790 | // No device check |
| 4791 | // DeviceGuard omitted |
| 4792 | return at::native::not_equal(self, other); |
| 4793 | } |
| 4794 | } // anonymous namespace |
| 4795 | namespace { |
| 4796 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_out_not_equal_out(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 4797 | // No device check |
| 4798 | // DeviceGuard omitted |
| 4799 | return at::native::not_equal_out(self, other, out); |
| 4800 | } |
| 4801 | } // anonymous namespace |
| 4802 | namespace { |
| 4803 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_not_equal_(at::Tensor & self, const at::Scalar & other) { |
| 4804 | // No device check |
| 4805 | // DeviceGuard omitted |
| 4806 | return at::native::not_equal_(self, other); |
| 4807 | } |
| 4808 | } // anonymous namespace |
| 4809 | namespace { |
| 4810 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_not_equal(const at::Tensor & self, const at::Tensor & other) { |
| 4811 | // No device check |
| 4812 | // DeviceGuard omitted |
| 4813 | return at::native::not_equal(self, other); |
| 4814 | } |
| 4815 | } // anonymous namespace |
| 4816 | namespace { |
| 4817 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_out_not_equal_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4818 | // No device check |
| 4819 | // DeviceGuard omitted |
| 4820 | return at::native::not_equal_out(self, other, out); |
| 4821 | } |
| 4822 | } // anonymous namespace |
| 4823 | namespace { |
| 4824 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_not_equal_(at::Tensor & self, const at::Tensor & other) { |
| 4825 | // No device check |
| 4826 | // DeviceGuard omitted |
| 4827 | return at::native::not_equal_(self, other); |
| 4828 | } |
| 4829 | } // anonymous namespace |
| 4830 | namespace { |
| 4831 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_greater_equal(const at::Tensor & self, const at::Scalar & other) { |
| 4832 | // No device check |
| 4833 | // DeviceGuard omitted |
| 4834 | return at::native::greater_equal(self, other); |
| 4835 | } |
| 4836 | } // anonymous namespace |
| 4837 | namespace { |
| 4838 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_out_greater_equal_out(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 4839 | // No device check |
| 4840 | // DeviceGuard omitted |
| 4841 | return at::native::greater_equal_out(self, other, out); |
| 4842 | } |
| 4843 | } // anonymous namespace |
| 4844 | namespace { |
| 4845 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_greater_equal_(at::Tensor & self, const at::Scalar & other) { |
| 4846 | // No device check |
| 4847 | // DeviceGuard omitted |
| 4848 | return at::native::greater_equal_(self, other); |
| 4849 | } |
| 4850 | } // anonymous namespace |
| 4851 | namespace { |
| 4852 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_greater_equal(const at::Tensor & self, const at::Tensor & other) { |
| 4853 | // No device check |
| 4854 | // DeviceGuard omitted |
| 4855 | return at::native::greater_equal(self, other); |
| 4856 | } |
| 4857 | } // anonymous namespace |
| 4858 | namespace { |
| 4859 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_out_greater_equal_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4860 | // No device check |
| 4861 | // DeviceGuard omitted |
| 4862 | return at::native::greater_equal_out(self, other, out); |
| 4863 | } |
| 4864 | } // anonymous namespace |
| 4865 | namespace { |
| 4866 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_greater_equal_(at::Tensor & self, const at::Tensor & other) { |
| 4867 | // No device check |
| 4868 | // DeviceGuard omitted |
| 4869 | return at::native::greater_equal_(self, other); |
| 4870 | } |
| 4871 | } // anonymous namespace |
| 4872 | namespace { |
| 4873 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_less_equal(const at::Tensor & self, const at::Scalar & other) { |
| 4874 | // No device check |
| 4875 | // DeviceGuard omitted |
| 4876 | return at::native::less_equal(self, other); |
| 4877 | } |
| 4878 | } // anonymous namespace |
| 4879 | namespace { |
| 4880 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_out_less_equal_out(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 4881 | // No device check |
| 4882 | // DeviceGuard omitted |
| 4883 | return at::native::less_equal_out(self, other, out); |
| 4884 | } |
| 4885 | } // anonymous namespace |
| 4886 | namespace { |
| 4887 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_less_equal_(at::Tensor & self, const at::Scalar & other) { |
| 4888 | // No device check |
| 4889 | // DeviceGuard omitted |
| 4890 | return at::native::less_equal_(self, other); |
| 4891 | } |
| 4892 | } // anonymous namespace |
| 4893 | namespace { |
| 4894 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_less_equal(const at::Tensor & self, const at::Tensor & other) { |
| 4895 | // No device check |
| 4896 | // DeviceGuard omitted |
| 4897 | return at::native::less_equal(self, other); |
| 4898 | } |
| 4899 | } // anonymous namespace |
| 4900 | namespace { |
| 4901 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_out_less_equal_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4902 | // No device check |
| 4903 | // DeviceGuard omitted |
| 4904 | return at::native::less_equal_out(self, other, out); |
| 4905 | } |
| 4906 | } // anonymous namespace |
| 4907 | namespace { |
| 4908 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_less_equal_(at::Tensor & self, const at::Tensor & other) { |
| 4909 | // No device check |
| 4910 | // DeviceGuard omitted |
| 4911 | return at::native::less_equal_(self, other); |
| 4912 | } |
| 4913 | } // anonymous namespace |
| 4914 | namespace { |
| 4915 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_greater(const at::Tensor & self, const at::Scalar & other) { |
| 4916 | // No device check |
| 4917 | // DeviceGuard omitted |
| 4918 | return at::native::greater(self, other); |
| 4919 | } |
| 4920 | } // anonymous namespace |
| 4921 | namespace { |
| 4922 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_out_greater_out(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 4923 | // No device check |
| 4924 | // DeviceGuard omitted |
| 4925 | return at::native::greater_out(self, other, out); |
| 4926 | } |
| 4927 | } // anonymous namespace |
| 4928 | namespace { |
| 4929 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_greater_(at::Tensor & self, const at::Scalar & other) { |
| 4930 | // No device check |
| 4931 | // DeviceGuard omitted |
| 4932 | return at::native::greater_(self, other); |
| 4933 | } |
| 4934 | } // anonymous namespace |
| 4935 | namespace { |
| 4936 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_greater(const at::Tensor & self, const at::Tensor & other) { |
| 4937 | // No device check |
| 4938 | // DeviceGuard omitted |
| 4939 | return at::native::greater(self, other); |
| 4940 | } |
| 4941 | } // anonymous namespace |
| 4942 | namespace { |
| 4943 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_out_greater_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4944 | // No device check |
| 4945 | // DeviceGuard omitted |
| 4946 | return at::native::greater_out(self, other, out); |
| 4947 | } |
| 4948 | } // anonymous namespace |
| 4949 | namespace { |
| 4950 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_greater_(at::Tensor & self, const at::Tensor & other) { |
| 4951 | // No device check |
| 4952 | // DeviceGuard omitted |
| 4953 | return at::native::greater_(self, other); |
| 4954 | } |
| 4955 | } // anonymous namespace |
| 4956 | namespace { |
| 4957 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_less(const at::Tensor & self, const at::Scalar & other) { |
| 4958 | // No device check |
| 4959 | // DeviceGuard omitted |
| 4960 | return at::native::less(self, other); |
| 4961 | } |
| 4962 | } // anonymous namespace |
| 4963 | namespace { |
| 4964 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_out_less_out(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 4965 | // No device check |
| 4966 | // DeviceGuard omitted |
| 4967 | return at::native::less_out(self, other, out); |
| 4968 | } |
| 4969 | } // anonymous namespace |
| 4970 | namespace { |
| 4971 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_less_(at::Tensor & self, const at::Scalar & other) { |
| 4972 | // No device check |
| 4973 | // DeviceGuard omitted |
| 4974 | return at::native::less_(self, other); |
| 4975 | } |
| 4976 | } // anonymous namespace |
| 4977 | namespace { |
| 4978 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_less(const at::Tensor & self, const at::Tensor & other) { |
| 4979 | // No device check |
| 4980 | // DeviceGuard omitted |
| 4981 | return at::native::less(self, other); |
| 4982 | } |
| 4983 | } // anonymous namespace |
| 4984 | namespace { |
| 4985 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_out_less_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 4986 | // No device check |
| 4987 | // DeviceGuard omitted |
| 4988 | return at::native::less_out(self, other, out); |
| 4989 | } |
| 4990 | } // anonymous namespace |
| 4991 | namespace { |
| 4992 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_less_(at::Tensor & self, const at::Tensor & other) { |
| 4993 | // No device check |
| 4994 | // DeviceGuard omitted |
| 4995 | return at::native::less_(self, other); |
| 4996 | } |
| 4997 | } // anonymous namespace |
| 4998 | namespace { |
| 4999 | at::Tensor wrapper_CompositeImplicitAutograd__take_along_dim(const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim) { |
| 5000 | // No device check |
| 5001 | // DeviceGuard omitted |
| 5002 | return at::native::take_along_dim(self, indices, dim); |
| 5003 | } |
| 5004 | } // anonymous namespace |
| 5005 | namespace { |
| 5006 | at::Tensor & wrapper_CompositeImplicitAutograd_out_take_along_dim_out(const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim, at::Tensor & out) { |
| 5007 | // No device check |
| 5008 | // DeviceGuard omitted |
| 5009 | return at::native::take_along_dim_out(self, indices, dim, out); |
| 5010 | } |
| 5011 | } // anonymous namespace |
| 5012 | namespace { |
| 5013 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_index_select(const at::Tensor & self, at::Dimname dim, const at::Tensor & index) { |
| 5014 | // No device check |
| 5015 | // DeviceGuard omitted |
| 5016 | return at::native::index_select(self, dim, index); |
| 5017 | } |
| 5018 | } // anonymous namespace |
| 5019 | namespace { |
| 5020 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_out_index_select_out(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, at::Tensor & out) { |
| 5021 | // No device check |
| 5022 | // DeviceGuard omitted |
| 5023 | return at::native::index_select_out(self, dim, index, out); |
| 5024 | } |
| 5025 | } // anonymous namespace |
| 5026 | namespace { |
| 5027 | at::Tensor wrapper_CompositeImplicitAutograd__index_select_backward(const at::Tensor & grad, c10::SymIntArrayRef self_sizes, int64_t dim, const at::Tensor & index) { |
| 5028 | // No device check |
| 5029 | // DeviceGuard omitted |
| 5030 | return at::native::index_select_backward_symint(grad, self_sizes, dim, index); |
| 5031 | } |
| 5032 | } // anonymous namespace |
| 5033 | namespace { |
| 5034 | at::Tensor wrapper_CompositeImplicitAutograd__masked_select_backward(const at::Tensor & grad, const at::Tensor & input, const at::Tensor & mask) { |
| 5035 | // No device check |
| 5036 | // DeviceGuard omitted |
| 5037 | return at::native::masked_select_backward(grad, input, mask); |
| 5038 | } |
| 5039 | } // anonymous namespace |
| 5040 | namespace { |
| 5041 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__nonzero_numpy(const at::Tensor & self) { |
| 5042 | // No device check |
| 5043 | // DeviceGuard omitted |
| 5044 | return at::native::nonzero_numpy(self); |
| 5045 | } |
| 5046 | } // anonymous namespace |
| 5047 | namespace { |
| 5048 | at::Tensor wrapper_CompositeImplicitAutograd__argwhere(const at::Tensor & self) { |
| 5049 | // No device check |
| 5050 | // DeviceGuard omitted |
| 5051 | return at::native::argwhere(self); |
| 5052 | } |
| 5053 | } // anonymous namespace |
| 5054 | namespace { |
| 5055 | at::Tensor wrapper_CompositeImplicitAutograd__gather_backward(const at::Tensor & grad, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad) { |
| 5056 | // No device check |
| 5057 | // DeviceGuard omitted |
| 5058 | return at::native::gather_backward(grad, self, dim, index, sparse_grad); |
| 5059 | } |
| 5060 | } // anonymous namespace |
| 5061 | namespace { |
| 5062 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_gather(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad) { |
| 5063 | // No device check |
| 5064 | // DeviceGuard omitted |
| 5065 | return at::native::gather(self, dim, index, sparse_grad); |
| 5066 | } |
| 5067 | } // anonymous namespace |
| 5068 | namespace { |
| 5069 | at::Tensor & wrapper_CompositeImplicitAutograd_dimname_out_gather_out(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad, at::Tensor & out) { |
| 5070 | // No device check |
| 5071 | // DeviceGuard omitted |
| 5072 | return at::native::gather_out(self, dim, index, sparse_grad, out); |
| 5073 | } |
| 5074 | } // anonymous namespace |
| 5075 | namespace { |
| 5076 | at::Tensor wrapper_CompositeImplicitAutograd___gather_sparse_backward(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & grad) { |
| 5077 | // No device check |
| 5078 | // DeviceGuard omitted |
| 5079 | return at::native::_gather_sparse_backward(self, dim, index, grad); |
| 5080 | } |
| 5081 | } // anonymous namespace |
| 5082 | namespace { |
| 5083 | at::Tensor wrapper_CompositeImplicitAutograd__cross_entropy_loss(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, double label_smoothing) { |
| 5084 | // No device check |
| 5085 | // DeviceGuard omitted |
| 5086 | return at::native::cross_entropy_loss_symint(self, target, weight, reduction, ignore_index, label_smoothing); |
| 5087 | } |
| 5088 | } // anonymous namespace |
| 5089 | namespace { |
| 5090 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_vander(const at::Tensor & x, c10::optional<int64_t> N) { |
| 5091 | // No device check |
| 5092 | // DeviceGuard omitted |
| 5093 | return at::native::linalg_vander(x, N); |
| 5094 | } |
| 5095 | } // anonymous namespace |
| 5096 | namespace { |
| 5097 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__svd(const at::Tensor & self, bool some, bool compute_uv) { |
| 5098 | // No device check |
| 5099 | // DeviceGuard omitted |
| 5100 | return at::native::svd(self, some, compute_uv); |
| 5101 | } |
| 5102 | } // anonymous namespace |
| 5103 | namespace { |
| 5104 | ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_U_svd_out(const at::Tensor & self, bool some, bool compute_uv, at::Tensor & U, at::Tensor & S, at::Tensor & V) { |
| 5105 | // No device check |
| 5106 | // DeviceGuard omitted |
| 5107 | return at::native::svd_out(self, some, compute_uv, U, S, V); |
| 5108 | } |
| 5109 | } // anonymous namespace |
| 5110 | namespace { |
| 5111 | at::Tensor wrapper_CompositeImplicitAutograd__swapaxes(const at::Tensor & self, int64_t axis0, int64_t axis1) { |
| 5112 | // No device check |
| 5113 | // DeviceGuard omitted |
| 5114 | return at::native::swapaxes(self, axis0, axis1); |
| 5115 | } |
| 5116 | } // anonymous namespace |
| 5117 | namespace { |
| 5118 | at::Tensor & wrapper_CompositeImplicitAutograd__swapaxes_(at::Tensor & self, int64_t axis0, int64_t axis1) { |
| 5119 | // No device check |
| 5120 | // DeviceGuard omitted |
| 5121 | return at::native::swapaxes_(self, axis0, axis1); |
| 5122 | } |
| 5123 | } // anonymous namespace |
| 5124 | namespace { |
| 5125 | at::Tensor wrapper_CompositeImplicitAutograd__swapdims(const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 5126 | // No device check |
| 5127 | // DeviceGuard omitted |
| 5128 | return at::native::swapdims(self, dim0, dim1); |
| 5129 | } |
| 5130 | } // anonymous namespace |
| 5131 | namespace { |
| 5132 | at::Tensor & wrapper_CompositeImplicitAutograd__swapdims_(at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 5133 | // No device check |
| 5134 | // DeviceGuard omitted |
| 5135 | return at::native::swapdims_(self, dim0, dim1); |
| 5136 | } |
| 5137 | } // anonymous namespace |
| 5138 | namespace { |
| 5139 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__qr(const at::Tensor & self, bool some) { |
| 5140 | // No device check |
| 5141 | // DeviceGuard omitted |
| 5142 | return at::native::qr(self, some); |
| 5143 | } |
| 5144 | } // anonymous namespace |
| 5145 | namespace { |
| 5146 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_Q_qr_out(const at::Tensor & self, bool some, at::Tensor & Q, at::Tensor & R) { |
| 5147 | // No device check |
| 5148 | // DeviceGuard omitted |
| 5149 | return at::native::qr_out(self, some, Q, R); |
| 5150 | } |
| 5151 | } // anonymous namespace |
| 5152 | namespace { |
| 5153 | at::Tensor wrapper_CompositeImplicitAutograd__orgqr(const at::Tensor & self, const at::Tensor & input2) { |
| 5154 | // No device check |
| 5155 | // DeviceGuard omitted |
| 5156 | return at::native::orgqr(self, input2); |
| 5157 | } |
| 5158 | } // anonymous namespace |
| 5159 | namespace { |
| 5160 | at::Tensor & wrapper_CompositeImplicitAutograd_out_orgqr_out(const at::Tensor & self, const at::Tensor & input2, at::Tensor & out) { |
| 5161 | // No device check |
| 5162 | // DeviceGuard omitted |
| 5163 | return at::native::orgqr_out(self, input2, out); |
| 5164 | } |
| 5165 | } // anonymous namespace |
| 5166 | namespace { |
| 5167 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___lu_with_info(const at::Tensor & self, bool pivot, bool check_errors) { |
| 5168 | // No device check |
| 5169 | // DeviceGuard omitted |
| 5170 | return at::native::_lu_with_info(self, pivot, check_errors); |
| 5171 | } |
| 5172 | } // anonymous namespace |
| 5173 | namespace { |
| 5174 | at::Tensor wrapper_CompositeImplicitAutograd__lu_solve(const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots) { |
| 5175 | // No device check |
| 5176 | // DeviceGuard omitted |
| 5177 | return at::native::lu_solve(self, LU_data, LU_pivots); |
| 5178 | } |
| 5179 | } // anonymous namespace |
| 5180 | namespace { |
| 5181 | at::Tensor & wrapper_CompositeImplicitAutograd_out_lu_solve_out(const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots, at::Tensor & out) { |
| 5182 | // No device check |
| 5183 | // DeviceGuard omitted |
| 5184 | return at::native::lu_solve_out(self, LU_data, LU_pivots, out); |
| 5185 | } |
| 5186 | } // anonymous namespace |
| 5187 | namespace { |
| 5188 | at::Tensor wrapper_CompositeImplicitAutograd__arctan2(const at::Tensor & self, const at::Tensor & other) { |
| 5189 | // No device check |
| 5190 | // DeviceGuard omitted |
| 5191 | return at::native::arctan2(self, other); |
| 5192 | } |
| 5193 | } // anonymous namespace |
| 5194 | namespace { |
| 5195 | at::Tensor & wrapper_CompositeImplicitAutograd_out_arctan2_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 5196 | // No device check |
| 5197 | // DeviceGuard omitted |
| 5198 | return at::native::arctan2_out(self, other, out); |
| 5199 | } |
| 5200 | } // anonymous namespace |
| 5201 | namespace { |
| 5202 | at::Tensor & wrapper_CompositeImplicitAutograd__arctan2_(at::Tensor & self, const at::Tensor & other) { |
| 5203 | // No device check |
| 5204 | // DeviceGuard omitted |
| 5205 | return at::native::arctan2_(self, other); |
| 5206 | } |
| 5207 | } // anonymous namespace |
| 5208 | namespace { |
| 5209 | ::std::tuple<at::Tensor,::std::vector<at::Tensor>> wrapper_CompositeImplicitAutograd__histogramdd(const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density) { |
| 5210 | // No device check |
| 5211 | // DeviceGuard omitted |
| 5212 | return at::native::histogramdd(self, bins, range, weight, density); |
| 5213 | } |
| 5214 | } // anonymous namespace |
| 5215 | namespace { |
| 5216 | ::std::tuple<at::Tensor,::std::vector<at::Tensor>> wrapper_CompositeImplicitAutograd_int_bins_histogramdd(const at::Tensor & self, int64_t bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density) { |
| 5217 | // No device check |
| 5218 | // DeviceGuard omitted |
| 5219 | return at::native::histogramdd(self, bins, range, weight, density); |
| 5220 | } |
| 5221 | } // anonymous namespace |
| 5222 | namespace { |
| 5223 | ::std::tuple<at::Tensor,::std::vector<at::Tensor>> wrapper_CompositeImplicitAutograd_TensorList_bins_histogramdd(const at::Tensor & self, at::TensorList bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density) { |
| 5224 | // No device check |
| 5225 | // DeviceGuard omitted |
| 5226 | return at::native::histogramdd(self, bins, range, weight, density); |
| 5227 | } |
| 5228 | } // anonymous namespace |
| 5229 | namespace { |
| 5230 | at::Tensor wrapper_CompositeImplicitAutograd_other_max(const at::Tensor & self, const at::Tensor & other) { |
| 5231 | // No device check |
| 5232 | // DeviceGuard omitted |
| 5233 | return at::native::max(self, other); |
| 5234 | } |
| 5235 | } // anonymous namespace |
| 5236 | namespace { |
| 5237 | at::Tensor & wrapper_CompositeImplicitAutograd_out_max_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 5238 | // No device check |
| 5239 | // DeviceGuard omitted |
| 5240 | return at::native::max_out(self, other, out); |
| 5241 | } |
| 5242 | } // anonymous namespace |
| 5243 | namespace { |
| 5244 | at::Tensor wrapper_CompositeImplicitAutograd_other_min(const at::Tensor & self, const at::Tensor & other) { |
| 5245 | // No device check |
| 5246 | // DeviceGuard omitted |
| 5247 | return at::native::min(self, other); |
| 5248 | } |
| 5249 | } // anonymous namespace |
| 5250 | namespace { |
| 5251 | at::Tensor & wrapper_CompositeImplicitAutograd_out_min_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 5252 | // No device check |
| 5253 | // DeviceGuard omitted |
| 5254 | return at::native::min_out(self, other, out); |
| 5255 | } |
| 5256 | } // anonymous namespace |
| 5257 | namespace { |
| 5258 | at::Tensor wrapper_CompositeImplicitAutograd__quantile(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 5259 | // No device check |
| 5260 | // DeviceGuard omitted |
| 5261 | return at::native::quantile(self, q, dim, keepdim, interpolation); |
| 5262 | } |
| 5263 | } // anonymous namespace |
| 5264 | namespace { |
| 5265 | at::Tensor & wrapper_CompositeImplicitAutograd_out_quantile_out(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 5266 | // No device check |
| 5267 | // DeviceGuard omitted |
| 5268 | return at::native::quantile_out(self, q, dim, keepdim, interpolation, out); |
| 5269 | } |
| 5270 | } // anonymous namespace |
| 5271 | namespace { |
| 5272 | at::Tensor wrapper_CompositeImplicitAutograd_scalar_quantile(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 5273 | // No device check |
| 5274 | // DeviceGuard omitted |
| 5275 | return at::native::quantile(self, q, dim, keepdim, interpolation); |
| 5276 | } |
| 5277 | } // anonymous namespace |
| 5278 | namespace { |
| 5279 | at::Tensor & wrapper_CompositeImplicitAutograd_scalar_out_quantile_out(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 5280 | // No device check |
| 5281 | // DeviceGuard omitted |
| 5282 | return at::native::quantile_out(self, q, dim, keepdim, interpolation, out); |
| 5283 | } |
| 5284 | } // anonymous namespace |
| 5285 | namespace { |
| 5286 | at::Tensor wrapper_CompositeImplicitAutograd__nanquantile(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 5287 | // No device check |
| 5288 | // DeviceGuard omitted |
| 5289 | return at::native::nanquantile(self, q, dim, keepdim, interpolation); |
| 5290 | } |
| 5291 | } // anonymous namespace |
| 5292 | namespace { |
| 5293 | at::Tensor & wrapper_CompositeImplicitAutograd_out_nanquantile_out(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 5294 | // No device check |
| 5295 | // DeviceGuard omitted |
| 5296 | return at::native::nanquantile_out(self, q, dim, keepdim, interpolation, out); |
| 5297 | } |
| 5298 | } // anonymous namespace |
| 5299 | namespace { |
| 5300 | at::Tensor wrapper_CompositeImplicitAutograd_scalar_nanquantile(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 5301 | // No device check |
| 5302 | // DeviceGuard omitted |
| 5303 | return at::native::nanquantile(self, q, dim, keepdim, interpolation); |
| 5304 | } |
| 5305 | } // anonymous namespace |
| 5306 | namespace { |
| 5307 | at::Tensor & wrapper_CompositeImplicitAutograd_scalar_out_nanquantile_out(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 5308 | // No device check |
| 5309 | // DeviceGuard omitted |
| 5310 | return at::native::nanquantile_out(self, q, dim, keepdim, interpolation, out); |
| 5311 | } |
| 5312 | } // anonymous namespace |
| 5313 | namespace { |
| 5314 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dimname_sort(const at::Tensor & self, at::Dimname dim, bool descending) { |
| 5315 | // No device check |
| 5316 | // DeviceGuard omitted |
| 5317 | return at::native::sort(self, dim, descending); |
| 5318 | } |
| 5319 | } // anonymous namespace |
| 5320 | namespace { |
| 5321 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_dimname_values_sort_out(const at::Tensor & self, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 5322 | // No device check |
| 5323 | // DeviceGuard omitted |
| 5324 | return at::native::sort_out(self, dim, descending, values, indices); |
| 5325 | } |
| 5326 | } // anonymous namespace |
| 5327 | namespace { |
| 5328 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd_dimname_stable_sort(const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending) { |
| 5329 | // No device check |
| 5330 | // DeviceGuard omitted |
| 5331 | return at::native::sort(self, stable, dim, descending); |
| 5332 | } |
| 5333 | } // anonymous namespace |
| 5334 | namespace { |
| 5335 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_dimname_values_stable_sort_out(const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 5336 | // No device check |
| 5337 | // DeviceGuard omitted |
| 5338 | return at::native::sort_out(self, stable, dim, descending, values, indices); |
| 5339 | } |
| 5340 | } // anonymous namespace |
| 5341 | namespace { |
| 5342 | at::Tensor wrapper_CompositeImplicitAutograd__msort(const at::Tensor & self) { |
| 5343 | // No device check |
| 5344 | // DeviceGuard omitted |
| 5345 | return at::native::msort(self); |
| 5346 | } |
| 5347 | } // anonymous namespace |
| 5348 | namespace { |
| 5349 | at::Tensor & wrapper_CompositeImplicitAutograd_out_msort_out(const at::Tensor & self, at::Tensor & out) { |
| 5350 | // No device check |
| 5351 | // DeviceGuard omitted |
| 5352 | return at::native::msort_out(self, out); |
| 5353 | } |
| 5354 | } // anonymous namespace |
| 5355 | namespace { |
| 5356 | at::Tensor wrapper_CompositeImplicitAutograd__argsort(const at::Tensor & self, int64_t dim, bool descending) { |
| 5357 | // No device check |
| 5358 | // DeviceGuard omitted |
| 5359 | return at::native::argsort(self, dim, descending); |
| 5360 | } |
| 5361 | } // anonymous namespace |
| 5362 | namespace { |
| 5363 | at::Tensor wrapper_CompositeImplicitAutograd_dimname_argsort(const at::Tensor & self, at::Dimname dim, bool descending) { |
| 5364 | // No device check |
| 5365 | // DeviceGuard omitted |
| 5366 | return at::native::argsort(self, dim, descending); |
| 5367 | } |
| 5368 | } // anonymous namespace |
| 5369 | namespace { |
| 5370 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_Tensor_float_power(const at::Tensor & self, const at::Tensor & exponent) { |
| 5371 | // No device check |
| 5372 | // DeviceGuard omitted |
| 5373 | return at::native::float_power(self, exponent); |
| 5374 | } |
| 5375 | } // anonymous namespace |
| 5376 | namespace { |
| 5377 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_Tensor_out_float_power_out(const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out) { |
| 5378 | // No device check |
| 5379 | // DeviceGuard omitted |
| 5380 | return at::native::float_power_out(self, exponent, out); |
| 5381 | } |
| 5382 | } // anonymous namespace |
| 5383 | namespace { |
| 5384 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_float_power_(at::Tensor & self, const at::Tensor & exponent) { |
| 5385 | // No device check |
| 5386 | // DeviceGuard omitted |
| 5387 | return at::native::float_power_(self, exponent); |
| 5388 | } |
| 5389 | } // anonymous namespace |
| 5390 | namespace { |
| 5391 | at::Tensor wrapper_CompositeImplicitAutograd_Scalar_float_power(const at::Scalar & self, const at::Tensor & exponent) { |
| 5392 | // No device check |
| 5393 | // DeviceGuard omitted |
| 5394 | return at::native::float_power(self, exponent); |
| 5395 | } |
| 5396 | } // anonymous namespace |
| 5397 | namespace { |
| 5398 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_out_float_power_out(const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out) { |
| 5399 | // No device check |
| 5400 | // DeviceGuard omitted |
| 5401 | return at::native::float_power_out(self, exponent, out); |
| 5402 | } |
| 5403 | } // anonymous namespace |
| 5404 | namespace { |
| 5405 | at::Tensor wrapper_CompositeImplicitAutograd_Tensor_Scalar_float_power(const at::Tensor & self, const at::Scalar & exponent) { |
| 5406 | // No device check |
| 5407 | // DeviceGuard omitted |
| 5408 | return at::native::float_power(self, exponent); |
| 5409 | } |
| 5410 | } // anonymous namespace |
| 5411 | namespace { |
| 5412 | at::Tensor & wrapper_CompositeImplicitAutograd_Tensor_Scalar_out_float_power_out(const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out) { |
| 5413 | // No device check |
| 5414 | // DeviceGuard omitted |
| 5415 | return at::native::float_power_out(self, exponent, out); |
| 5416 | } |
| 5417 | } // anonymous namespace |
| 5418 | namespace { |
| 5419 | at::Tensor & wrapper_CompositeImplicitAutograd_Scalar_float_power_(at::Tensor & self, const at::Scalar & exponent) { |
| 5420 | // No device check |
| 5421 | // DeviceGuard omitted |
| 5422 | return at::native::float_power_(self, exponent); |
| 5423 | } |
| 5424 | } // anonymous namespace |
| 5425 | namespace { |
| 5426 | at::Tensor wrapper_CompositeImplicitAutograd__l1_loss(const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 5427 | // No device check |
| 5428 | // DeviceGuard omitted |
| 5429 | return at::native::l1_loss(self, target, reduction); |
| 5430 | } |
| 5431 | } // anonymous namespace |
| 5432 | namespace { |
| 5433 | at::Tensor wrapper_CompositeImplicitAutograd__multilabel_margin_loss(const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 5434 | // No device check |
| 5435 | // DeviceGuard omitted |
| 5436 | return at::native::multilabel_margin_loss(self, target, reduction); |
| 5437 | } |
| 5438 | } // anonymous namespace |
| 5439 | namespace { |
| 5440 | at::Tensor & wrapper_CompositeImplicitAutograd_out_multilabel_margin_loss_out(const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) { |
| 5441 | // No device check |
| 5442 | // DeviceGuard omitted |
| 5443 | return at::native::multilabel_margin_loss_out(self, target, reduction, out); |
| 5444 | } |
| 5445 | } // anonymous namespace |
| 5446 | namespace { |
| 5447 | at::Tensor wrapper_CompositeImplicitAutograd__nll_loss(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 5448 | // No device check |
| 5449 | // DeviceGuard omitted |
| 5450 | return at::native::nll_loss_symint(self, target, weight, reduction, ignore_index); |
| 5451 | } |
| 5452 | } // anonymous namespace |
| 5453 | namespace { |
| 5454 | at::Tensor & wrapper_CompositeImplicitAutograd_out_nll_loss_out(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & out) { |
| 5455 | // No device check |
| 5456 | // DeviceGuard omitted |
| 5457 | return at::native::nll_loss_out(self, target, weight, reduction, ignore_index.expect_int(), out); |
| 5458 | } |
| 5459 | } // anonymous namespace |
| 5460 | namespace { |
| 5461 | at::Tensor wrapper_CompositeImplicitAutograd__nll_loss_nd(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 5462 | // No device check |
| 5463 | // DeviceGuard omitted |
| 5464 | return at::native::nll_loss_nd_symint(self, target, weight, reduction, ignore_index); |
| 5465 | } |
| 5466 | } // anonymous namespace |
| 5467 | namespace { |
| 5468 | at::Tensor wrapper_CompositeImplicitAutograd__nll_loss2d(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 5469 | // No device check |
| 5470 | // DeviceGuard omitted |
| 5471 | return at::native::nll_loss2d_symint(self, target, weight, reduction, ignore_index); |
| 5472 | } |
| 5473 | } // anonymous namespace |
| 5474 | namespace { |
| 5475 | at::Tensor & wrapper_CompositeImplicitAutograd_out_nll_loss2d_out(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & out) { |
| 5476 | // No device check |
| 5477 | // DeviceGuard omitted |
| 5478 | return at::native::nll_loss2d_out(self, target, weight, reduction, ignore_index.expect_int(), out); |
| 5479 | } |
| 5480 | } // anonymous namespace |
| 5481 | namespace { |
| 5482 | at::Tensor wrapper_CompositeImplicitAutograd__log_sigmoid(const at::Tensor & self) { |
| 5483 | // No device check |
| 5484 | // DeviceGuard omitted |
| 5485 | return at::native::log_sigmoid(self); |
| 5486 | } |
| 5487 | } // anonymous namespace |
| 5488 | namespace { |
| 5489 | at::Tensor & wrapper_CompositeImplicitAutograd_out_log_sigmoid_out(const at::Tensor & self, at::Tensor & out) { |
| 5490 | // No device check |
| 5491 | // DeviceGuard omitted |
| 5492 | return at::native::log_sigmoid_out(self, out); |
| 5493 | } |
| 5494 | } // anonymous namespace |
| 5495 | namespace { |
| 5496 | at::Tensor wrapper_CompositeImplicitAutograd__adaptive_avg_pool2d(const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 5497 | // No device check |
| 5498 | // DeviceGuard omitted |
| 5499 | return at::native::adaptive_avg_pool2d_symint(self, output_size); |
| 5500 | } |
| 5501 | } // anonymous namespace |
| 5502 | namespace { |
| 5503 | at::Tensor wrapper_CompositeImplicitAutograd__adaptive_avg_pool3d(const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 5504 | // No device check |
| 5505 | // DeviceGuard omitted |
| 5506 | return at::native::adaptive_avg_pool3d_symint(self, output_size); |
| 5507 | } |
| 5508 | } // anonymous namespace |
| 5509 | namespace { |
| 5510 | at::Tensor wrapper_CompositeImplicitAutograd___pad_circular(const at::Tensor & self, c10::SymIntArrayRef pad) { |
| 5511 | // No device check |
| 5512 | // DeviceGuard omitted |
| 5513 | return at::native::_pad_circular_symint(self, pad); |
| 5514 | } |
| 5515 | } // anonymous namespace |
| 5516 | namespace { |
| 5517 | at::Tensor wrapper_CompositeImplicitAutograd___pad_enum(const at::Tensor & self, c10::SymIntArrayRef pad, int64_t mode, c10::optional<double> value) { |
| 5518 | // No device check |
| 5519 | // DeviceGuard omitted |
| 5520 | return at::native::_pad_enum_symint(self, pad, mode, value); |
| 5521 | } |
| 5522 | } // anonymous namespace |
| 5523 | namespace { |
| 5524 | at::Tensor wrapper_CompositeImplicitAutograd__pad(const at::Tensor & self, c10::SymIntArrayRef pad, c10::string_view mode, c10::optional<double> value) { |
| 5525 | // No device check |
| 5526 | // DeviceGuard omitted |
| 5527 | return at::native::pad_symint(self, pad, mode, value); |
| 5528 | } |
| 5529 | } // anonymous namespace |
| 5530 | namespace { |
| 5531 | at::Tensor wrapper_CompositeImplicitAutograd_vec_upsample_linear1d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5532 | // No device check |
| 5533 | // DeviceGuard omitted |
| 5534 | return at::native::upsample_linear1d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 5535 | } |
| 5536 | } // anonymous namespace |
| 5537 | namespace { |
| 5538 | at::Tensor wrapper_CompositeImplicitAutograd_vec_upsample_bilinear2d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5539 | // No device check |
| 5540 | // DeviceGuard omitted |
| 5541 | return at::native::upsample_bilinear2d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 5542 | } |
| 5543 | } // anonymous namespace |
| 5544 | namespace { |
| 5545 | at::Tensor wrapper_CompositeImplicitAutograd_vec__upsample_bilinear2d_aa(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5546 | // No device check |
| 5547 | // DeviceGuard omitted |
| 5548 | return at::native::_upsample_bilinear2d_aa(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 5549 | } |
| 5550 | } // anonymous namespace |
| 5551 | namespace { |
| 5552 | at::Tensor wrapper_CompositeImplicitAutograd_vec_upsample_trilinear3d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5553 | // No device check |
| 5554 | // DeviceGuard omitted |
| 5555 | return at::native::upsample_trilinear3d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 5556 | } |
| 5557 | } // anonymous namespace |
| 5558 | namespace { |
| 5559 | at::Tensor wrapper_CompositeImplicitAutograd_vec_upsample_bicubic2d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5560 | // No device check |
| 5561 | // DeviceGuard omitted |
| 5562 | return at::native::upsample_bicubic2d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 5563 | } |
| 5564 | } // anonymous namespace |
| 5565 | namespace { |
| 5566 | at::Tensor wrapper_CompositeImplicitAutograd_vec__upsample_bicubic2d_aa(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5567 | // No device check |
| 5568 | // DeviceGuard omitted |
| 5569 | return at::native::_upsample_bicubic2d_aa(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 5570 | } |
| 5571 | } // anonymous namespace |
| 5572 | namespace { |
| 5573 | at::Tensor wrapper_CompositeImplicitAutograd_vec_upsample_nearest1d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5574 | // No device check |
| 5575 | // DeviceGuard omitted |
| 5576 | return at::native::upsample_nearest1d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, scale_factors); |
| 5577 | } |
| 5578 | } // anonymous namespace |
| 5579 | namespace { |
| 5580 | at::Tensor wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact1d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5581 | // No device check |
| 5582 | // DeviceGuard omitted |
| 5583 | return at::native::_upsample_nearest_exact1d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, scale_factors); |
| 5584 | } |
| 5585 | } // anonymous namespace |
| 5586 | namespace { |
| 5587 | at::Tensor wrapper_CompositeImplicitAutograd_vec_upsample_nearest2d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5588 | // No device check |
| 5589 | // DeviceGuard omitted |
| 5590 | return at::native::upsample_nearest2d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, scale_factors); |
| 5591 | } |
| 5592 | } // anonymous namespace |
| 5593 | namespace { |
| 5594 | at::Tensor wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact2d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5595 | // No device check |
| 5596 | // DeviceGuard omitted |
| 5597 | return at::native::_upsample_nearest_exact2d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, scale_factors); |
| 5598 | } |
| 5599 | } // anonymous namespace |
| 5600 | namespace { |
| 5601 | at::Tensor wrapper_CompositeImplicitAutograd_vec_upsample_nearest3d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5602 | // No device check |
| 5603 | // DeviceGuard omitted |
| 5604 | return at::native::upsample_nearest3d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, scale_factors); |
| 5605 | } |
| 5606 | } // anonymous namespace |
| 5607 | namespace { |
| 5608 | at::Tensor wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact3d(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 5609 | // No device check |
| 5610 | // DeviceGuard omitted |
| 5611 | return at::native::_upsample_nearest_exact3d(input, output_size.has_value() ? c10::make_optional(C10_AS_INTARRAYREF_SLOW(*output_size)) : c10::nullopt, scale_factors); |
| 5612 | } |
| 5613 | } // anonymous namespace |
| 5614 | namespace { |
| 5615 | at::Tensor wrapper_CompositeImplicitAutograd__thnn_conv2d(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 5616 | // No device check |
| 5617 | // DeviceGuard omitted |
| 5618 | return at::native::thnn_conv2d(self, weight, kernel_size, bias, stride, padding); |
| 5619 | } |
| 5620 | } // anonymous namespace |
| 5621 | namespace { |
| 5622 | at::Tensor & wrapper_CompositeImplicitAutograd_out_thnn_conv2d_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::Tensor & out) { |
| 5623 | // No device check |
| 5624 | // DeviceGuard omitted |
| 5625 | return at::native::thnn_conv2d_out(self, weight, kernel_size, bias, stride, padding, out); |
| 5626 | } |
| 5627 | } // anonymous namespace |
| 5628 | namespace { |
| 5629 | at::Tensor wrapper_CompositeImplicitAutograd__slow_conv3d(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding) { |
| 5630 | // No device check |
| 5631 | // DeviceGuard omitted |
| 5632 | return at::native::slow_conv3d(self, weight, kernel_size, bias, stride, C10_AS_INTARRAYREF_SLOW(padding)); |
| 5633 | } |
| 5634 | } // anonymous namespace |
| 5635 | namespace { |
| 5636 | at::Tensor & wrapper_CompositeImplicitAutograd_out_slow_conv3d_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::Tensor & out) { |
| 5637 | // No device check |
| 5638 | // DeviceGuard omitted |
| 5639 | return at::native::slow_conv3d_out(self, weight, kernel_size, bias, stride, C10_AS_INTARRAYREF_SLOW(padding), out); |
| 5640 | } |
| 5641 | } // anonymous namespace |
| 5642 | namespace { |
| 5643 | at::Tensor wrapper_CompositeImplicitAutograd__column_stack(at::TensorList tensors) { |
| 5644 | // No device check |
| 5645 | // DeviceGuard omitted |
| 5646 | return at::native::column_stack(tensors); |
| 5647 | } |
| 5648 | } // anonymous namespace |
| 5649 | namespace { |
| 5650 | at::Tensor & wrapper_CompositeImplicitAutograd_out_column_stack_out(at::TensorList tensors, at::Tensor & out) { |
| 5651 | // No device check |
| 5652 | // DeviceGuard omitted |
| 5653 | return at::native::column_stack_out(tensors, out); |
| 5654 | } |
| 5655 | } // anonymous namespace |
| 5656 | namespace { |
| 5657 | at::Tensor wrapper_CompositeImplicitAutograd__isfinite(const at::Tensor & self) { |
| 5658 | // No device check |
| 5659 | // DeviceGuard omitted |
| 5660 | return at::native::isfinite(self); |
| 5661 | } |
| 5662 | } // anonymous namespace |
| 5663 | namespace { |
| 5664 | at::Tensor wrapper_CompositeImplicitAutograd___add_batch_dim(const at::Tensor & self, int64_t batch_dim, int64_t level) { |
| 5665 | // No device check |
| 5666 | // DeviceGuard omitted |
| 5667 | return at::native::_add_batch_dim(self, batch_dim, level); |
| 5668 | } |
| 5669 | } // anonymous namespace |
| 5670 | namespace { |
| 5671 | at::Tensor wrapper_CompositeImplicitAutograd___remove_batch_dim(const at::Tensor & self, int64_t level, int64_t batch_size, int64_t out_dim) { |
| 5672 | // No device check |
| 5673 | // DeviceGuard omitted |
| 5674 | return at::native::_remove_batch_dim(self, level, batch_size, out_dim); |
| 5675 | } |
| 5676 | } // anonymous namespace |
| 5677 | namespace { |
| 5678 | at::Tensor wrapper_CompositeImplicitAutograd__special_expm1(const at::Tensor & self) { |
| 5679 | // No device check |
| 5680 | // DeviceGuard omitted |
| 5681 | return at::native::special_expm1(self); |
| 5682 | } |
| 5683 | } // anonymous namespace |
| 5684 | namespace { |
| 5685 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_expm1_out(const at::Tensor & self, at::Tensor & out) { |
| 5686 | // No device check |
| 5687 | // DeviceGuard omitted |
| 5688 | return at::native::special_expm1_out(self, out); |
| 5689 | } |
| 5690 | } // anonymous namespace |
| 5691 | namespace { |
| 5692 | at::Tensor wrapper_CompositeImplicitAutograd__special_exp2(const at::Tensor & self) { |
| 5693 | // No device check |
| 5694 | // DeviceGuard omitted |
| 5695 | return at::native::special_exp2(self); |
| 5696 | } |
| 5697 | } // anonymous namespace |
| 5698 | namespace { |
| 5699 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_exp2_out(const at::Tensor & self, at::Tensor & out) { |
| 5700 | // No device check |
| 5701 | // DeviceGuard omitted |
| 5702 | return at::native::special_exp2_out(self, out); |
| 5703 | } |
| 5704 | } // anonymous namespace |
| 5705 | namespace { |
| 5706 | at::Tensor wrapper_CompositeImplicitAutograd__special_psi(const at::Tensor & self) { |
| 5707 | // No device check |
| 5708 | // DeviceGuard omitted |
| 5709 | return at::native::special_psi(self); |
| 5710 | } |
| 5711 | } // anonymous namespace |
| 5712 | namespace { |
| 5713 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_psi_out(const at::Tensor & self, at::Tensor & out) { |
| 5714 | // No device check |
| 5715 | // DeviceGuard omitted |
| 5716 | return at::native::special_psi_out(self, out); |
| 5717 | } |
| 5718 | } // anonymous namespace |
| 5719 | namespace { |
| 5720 | at::Tensor wrapper_CompositeImplicitAutograd__special_digamma(const at::Tensor & self) { |
| 5721 | // No device check |
| 5722 | // DeviceGuard omitted |
| 5723 | return at::native::special_digamma(self); |
| 5724 | } |
| 5725 | } // anonymous namespace |
| 5726 | namespace { |
| 5727 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_digamma_out(const at::Tensor & self, at::Tensor & out) { |
| 5728 | // No device check |
| 5729 | // DeviceGuard omitted |
| 5730 | return at::native::special_digamma_out(self, out); |
| 5731 | } |
| 5732 | } // anonymous namespace |
| 5733 | namespace { |
| 5734 | at::Tensor wrapper_CompositeImplicitAutograd__special_gammaln(const at::Tensor & self) { |
| 5735 | // No device check |
| 5736 | // DeviceGuard omitted |
| 5737 | return at::native::special_gammaln(self); |
| 5738 | } |
| 5739 | } // anonymous namespace |
| 5740 | namespace { |
| 5741 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_gammaln_out(const at::Tensor & self, at::Tensor & out) { |
| 5742 | // No device check |
| 5743 | // DeviceGuard omitted |
| 5744 | return at::native::special_gammaln_out(self, out); |
| 5745 | } |
| 5746 | } // anonymous namespace |
| 5747 | namespace { |
| 5748 | at::Tensor wrapper_CompositeImplicitAutograd__special_erf(const at::Tensor & self) { |
| 5749 | // No device check |
| 5750 | // DeviceGuard omitted |
| 5751 | return at::native::special_erf(self); |
| 5752 | } |
| 5753 | } // anonymous namespace |
| 5754 | namespace { |
| 5755 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_erf_out(const at::Tensor & self, at::Tensor & out) { |
| 5756 | // No device check |
| 5757 | // DeviceGuard omitted |
| 5758 | return at::native::special_erf_out(self, out); |
| 5759 | } |
| 5760 | } // anonymous namespace |
| 5761 | namespace { |
| 5762 | at::Tensor wrapper_CompositeImplicitAutograd__special_erfc(const at::Tensor & self) { |
| 5763 | // No device check |
| 5764 | // DeviceGuard omitted |
| 5765 | return at::native::special_erfc(self); |
| 5766 | } |
| 5767 | } // anonymous namespace |
| 5768 | namespace { |
| 5769 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_erfc_out(const at::Tensor & self, at::Tensor & out) { |
| 5770 | // No device check |
| 5771 | // DeviceGuard omitted |
| 5772 | return at::native::special_erfc_out(self, out); |
| 5773 | } |
| 5774 | } // anonymous namespace |
| 5775 | namespace { |
| 5776 | at::Tensor wrapper_CompositeImplicitAutograd__special_erfinv(const at::Tensor & self) { |
| 5777 | // No device check |
| 5778 | // DeviceGuard omitted |
| 5779 | return at::native::special_erfinv(self); |
| 5780 | } |
| 5781 | } // anonymous namespace |
| 5782 | namespace { |
| 5783 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_erfinv_out(const at::Tensor & self, at::Tensor & out) { |
| 5784 | // No device check |
| 5785 | // DeviceGuard omitted |
| 5786 | return at::native::special_erfinv_out(self, out); |
| 5787 | } |
| 5788 | } // anonymous namespace |
| 5789 | namespace { |
| 5790 | at::Tensor wrapper_CompositeImplicitAutograd__special_ndtr(const at::Tensor & self) { |
| 5791 | // No device check |
| 5792 | // DeviceGuard omitted |
| 5793 | return at::native::special_ndtr(self); |
| 5794 | } |
| 5795 | } // anonymous namespace |
| 5796 | namespace { |
| 5797 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_ndtr_out(const at::Tensor & self, at::Tensor & out) { |
| 5798 | // No device check |
| 5799 | // DeviceGuard omitted |
| 5800 | return at::native::special_ndtr_out(self, out); |
| 5801 | } |
| 5802 | } // anonymous namespace |
| 5803 | namespace { |
| 5804 | at::Tensor wrapper_CompositeImplicitAutograd__special_xlogy(const at::Tensor & self, const at::Tensor & other) { |
| 5805 | // No device check |
| 5806 | // DeviceGuard omitted |
| 5807 | return at::native::special_xlogy(self, other); |
| 5808 | } |
| 5809 | } // anonymous namespace |
| 5810 | namespace { |
| 5811 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_xlogy_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 5812 | // No device check |
| 5813 | // DeviceGuard omitted |
| 5814 | return at::native::special_xlogy_out(self, other, out); |
| 5815 | } |
| 5816 | } // anonymous namespace |
| 5817 | namespace { |
| 5818 | at::Tensor wrapper_CompositeImplicitAutograd_self_scalar_special_xlogy(const at::Scalar & self, const at::Tensor & other) { |
| 5819 | // No device check |
| 5820 | // DeviceGuard omitted |
| 5821 | return at::native::special_xlogy(self, other); |
| 5822 | } |
| 5823 | } // anonymous namespace |
| 5824 | namespace { |
| 5825 | at::Tensor & wrapper_CompositeImplicitAutograd_self_scalar_out_special_xlogy_out(const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 5826 | // No device check |
| 5827 | // DeviceGuard omitted |
| 5828 | return at::native::special_xlogy_out(self, other, out); |
| 5829 | } |
| 5830 | } // anonymous namespace |
| 5831 | namespace { |
| 5832 | at::Tensor wrapper_CompositeImplicitAutograd_other_scalar_special_xlogy(const at::Tensor & self, const at::Scalar & other) { |
| 5833 | // No device check |
| 5834 | // DeviceGuard omitted |
| 5835 | return at::native::special_xlogy(self, other); |
| 5836 | } |
| 5837 | } // anonymous namespace |
| 5838 | namespace { |
| 5839 | at::Tensor & wrapper_CompositeImplicitAutograd_other_scalar_out_special_xlogy_out(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 5840 | // No device check |
| 5841 | // DeviceGuard omitted |
| 5842 | return at::native::special_xlogy_out(self, other, out); |
| 5843 | } |
| 5844 | } // anonymous namespace |
| 5845 | namespace { |
| 5846 | at::Tensor wrapper_CompositeImplicitAutograd__special_i0(const at::Tensor & self) { |
| 5847 | // No device check |
| 5848 | // DeviceGuard omitted |
| 5849 | return at::native::special_i0(self); |
| 5850 | } |
| 5851 | } // anonymous namespace |
| 5852 | namespace { |
| 5853 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_i0_out(const at::Tensor & self, at::Tensor & out) { |
| 5854 | // No device check |
| 5855 | // DeviceGuard omitted |
| 5856 | return at::native::special_i0_out(self, out); |
| 5857 | } |
| 5858 | } // anonymous namespace |
| 5859 | namespace { |
| 5860 | at::Tensor wrapper_CompositeImplicitAutograd__special_logit(const at::Tensor & self, c10::optional<double> eps) { |
| 5861 | // No device check |
| 5862 | // DeviceGuard omitted |
| 5863 | return at::native::special_logit(self, eps); |
| 5864 | } |
| 5865 | } // anonymous namespace |
| 5866 | namespace { |
| 5867 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_logit_out(const at::Tensor & self, c10::optional<double> eps, at::Tensor & out) { |
| 5868 | // No device check |
| 5869 | // DeviceGuard omitted |
| 5870 | return at::native::special_logit_out(self, eps, out); |
| 5871 | } |
| 5872 | } // anonymous namespace |
| 5873 | namespace { |
| 5874 | at::Tensor wrapper_CompositeImplicitAutograd__special_polygamma(int64_t n, const at::Tensor & self) { |
| 5875 | // No device check |
| 5876 | // DeviceGuard omitted |
| 5877 | return at::native::special_polygamma(n, self); |
| 5878 | } |
| 5879 | } // anonymous namespace |
| 5880 | namespace { |
| 5881 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_polygamma_out(int64_t n, const at::Tensor & self, at::Tensor & out) { |
| 5882 | // No device check |
| 5883 | // DeviceGuard omitted |
| 5884 | return at::native::special_polygamma_out(n, self, out); |
| 5885 | } |
| 5886 | } // anonymous namespace |
| 5887 | namespace { |
| 5888 | at::Tensor wrapper_CompositeImplicitAutograd__special_logsumexp(const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 5889 | // No device check |
| 5890 | // DeviceGuard omitted |
| 5891 | return at::native::special_logsumexp(self, dim, keepdim); |
| 5892 | } |
| 5893 | } // anonymous namespace |
| 5894 | namespace { |
| 5895 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_logsumexp_out(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 5896 | // No device check |
| 5897 | // DeviceGuard omitted |
| 5898 | return at::native::special_logsumexp_out(self, dim, keepdim, out); |
| 5899 | } |
| 5900 | } // anonymous namespace |
| 5901 | namespace { |
| 5902 | at::Tensor wrapper_CompositeImplicitAutograd__special_expit(const at::Tensor & self) { |
| 5903 | // No device check |
| 5904 | // DeviceGuard omitted |
| 5905 | return at::native::special_expit(self); |
| 5906 | } |
| 5907 | } // anonymous namespace |
| 5908 | namespace { |
| 5909 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_expit_out(const at::Tensor & self, at::Tensor & out) { |
| 5910 | // No device check |
| 5911 | // DeviceGuard omitted |
| 5912 | return at::native::special_expit_out(self, out); |
| 5913 | } |
| 5914 | } // anonymous namespace |
| 5915 | namespace { |
| 5916 | at::Tensor wrapper_CompositeImplicitAutograd__special_sinc(const at::Tensor & self) { |
| 5917 | // No device check |
| 5918 | // DeviceGuard omitted |
| 5919 | return at::native::special_sinc(self); |
| 5920 | } |
| 5921 | } // anonymous namespace |
| 5922 | namespace { |
| 5923 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_sinc_out(const at::Tensor & self, at::Tensor & out) { |
| 5924 | // No device check |
| 5925 | // DeviceGuard omitted |
| 5926 | return at::native::special_sinc_out(self, out); |
| 5927 | } |
| 5928 | } // anonymous namespace |
| 5929 | namespace { |
| 5930 | at::Tensor wrapper_CompositeImplicitAutograd__special_round(const at::Tensor & self, int64_t decimals) { |
| 5931 | // No device check |
| 5932 | // DeviceGuard omitted |
| 5933 | return at::native::special_round(self, decimals); |
| 5934 | } |
| 5935 | } // anonymous namespace |
| 5936 | namespace { |
| 5937 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_round_out(const at::Tensor & self, int64_t decimals, at::Tensor & out) { |
| 5938 | // No device check |
| 5939 | // DeviceGuard omitted |
| 5940 | return at::native::special_round_out(self, decimals, out); |
| 5941 | } |
| 5942 | } // anonymous namespace |
| 5943 | namespace { |
| 5944 | at::Tensor wrapper_CompositeImplicitAutograd__special_log1p(const at::Tensor & self) { |
| 5945 | // No device check |
| 5946 | // DeviceGuard omitted |
| 5947 | return at::native::special_log1p(self); |
| 5948 | } |
| 5949 | } // anonymous namespace |
| 5950 | namespace { |
| 5951 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_log1p_out(const at::Tensor & self, at::Tensor & out) { |
| 5952 | // No device check |
| 5953 | // DeviceGuard omitted |
| 5954 | return at::native::special_log1p_out(self, out); |
| 5955 | } |
| 5956 | } // anonymous namespace |
| 5957 | namespace { |
| 5958 | at::Tensor wrapper_CompositeImplicitAutograd__special_log_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 5959 | // No device check |
| 5960 | // DeviceGuard omitted |
| 5961 | return at::native::special_log_softmax(self, dim, dtype); |
| 5962 | } |
| 5963 | } // anonymous namespace |
| 5964 | namespace { |
| 5965 | at::Tensor wrapper_CompositeImplicitAutograd__special_gammainc(const at::Tensor & self, const at::Tensor & other) { |
| 5966 | // No device check |
| 5967 | // DeviceGuard omitted |
| 5968 | return at::native::special_gammainc(self, other); |
| 5969 | } |
| 5970 | } // anonymous namespace |
| 5971 | namespace { |
| 5972 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_gammainc_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 5973 | // No device check |
| 5974 | // DeviceGuard omitted |
| 5975 | return at::native::special_gammainc_out(self, other, out); |
| 5976 | } |
| 5977 | } // anonymous namespace |
| 5978 | namespace { |
| 5979 | at::Tensor wrapper_CompositeImplicitAutograd__special_gammaincc(const at::Tensor & self, const at::Tensor & other) { |
| 5980 | // No device check |
| 5981 | // DeviceGuard omitted |
| 5982 | return at::native::special_gammaincc(self, other); |
| 5983 | } |
| 5984 | } // anonymous namespace |
| 5985 | namespace { |
| 5986 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_gammaincc_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 5987 | // No device check |
| 5988 | // DeviceGuard omitted |
| 5989 | return at::native::special_gammaincc_out(self, other, out); |
| 5990 | } |
| 5991 | } // anonymous namespace |
| 5992 | namespace { |
| 5993 | at::Tensor wrapper_CompositeImplicitAutograd__special_multigammaln(const at::Tensor & self, int64_t p) { |
| 5994 | // No device check |
| 5995 | // DeviceGuard omitted |
| 5996 | return at::native::special_multigammaln(self, p); |
| 5997 | } |
| 5998 | } // anonymous namespace |
| 5999 | namespace { |
| 6000 | at::Tensor & wrapper_CompositeImplicitAutograd_out_special_multigammaln_out(const at::Tensor & self, int64_t p, at::Tensor & out) { |
| 6001 | // No device check |
| 6002 | // DeviceGuard omitted |
| 6003 | return at::native::special_multigammaln_out(self, p, out); |
| 6004 | } |
| 6005 | } // anonymous namespace |
| 6006 | namespace { |
| 6007 | at::Tensor wrapper_CompositeImplicitAutograd__special_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 6008 | // No device check |
| 6009 | // DeviceGuard omitted |
| 6010 | return at::native::special_softmax(self, dim, dtype); |
| 6011 | } |
| 6012 | } // anonymous namespace |
| 6013 | namespace { |
| 6014 | at::Tensor wrapper_CompositeImplicitAutograd__fft_fft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 6015 | // No device check |
| 6016 | // DeviceGuard omitted |
| 6017 | return at::native::fft_fft(self, n, dim, norm); |
| 6018 | } |
| 6019 | } // anonymous namespace |
| 6020 | namespace { |
| 6021 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_fft_out(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6022 | // No device check |
| 6023 | // DeviceGuard omitted |
| 6024 | return at::native::fft_fft_out(self, n, dim, norm, out); |
| 6025 | } |
| 6026 | } // anonymous namespace |
| 6027 | namespace { |
| 6028 | at::Tensor wrapper_CompositeImplicitAutograd__fft_ifft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 6029 | // No device check |
| 6030 | // DeviceGuard omitted |
| 6031 | return at::native::fft_ifft(self, n, dim, norm); |
| 6032 | } |
| 6033 | } // anonymous namespace |
| 6034 | namespace { |
| 6035 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_ifft_out(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6036 | // No device check |
| 6037 | // DeviceGuard omitted |
| 6038 | return at::native::fft_ifft_out(self, n, dim, norm, out); |
| 6039 | } |
| 6040 | } // anonymous namespace |
| 6041 | namespace { |
| 6042 | at::Tensor wrapper_CompositeImplicitAutograd__fft_rfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 6043 | // No device check |
| 6044 | // DeviceGuard omitted |
| 6045 | return at::native::fft_rfft(self, n, dim, norm); |
| 6046 | } |
| 6047 | } // anonymous namespace |
| 6048 | namespace { |
| 6049 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_rfft_out(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6050 | // No device check |
| 6051 | // DeviceGuard omitted |
| 6052 | return at::native::fft_rfft_out(self, n, dim, norm, out); |
| 6053 | } |
| 6054 | } // anonymous namespace |
| 6055 | namespace { |
| 6056 | at::Tensor wrapper_CompositeImplicitAutograd__fft_irfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 6057 | // No device check |
| 6058 | // DeviceGuard omitted |
| 6059 | return at::native::fft_irfft(self, n, dim, norm); |
| 6060 | } |
| 6061 | } // anonymous namespace |
| 6062 | namespace { |
| 6063 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_irfft_out(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6064 | // No device check |
| 6065 | // DeviceGuard omitted |
| 6066 | return at::native::fft_irfft_out(self, n, dim, norm, out); |
| 6067 | } |
| 6068 | } // anonymous namespace |
| 6069 | namespace { |
| 6070 | at::Tensor wrapper_CompositeImplicitAutograd__fft_hfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 6071 | // No device check |
| 6072 | // DeviceGuard omitted |
| 6073 | return at::native::fft_hfft(self, n, dim, norm); |
| 6074 | } |
| 6075 | } // anonymous namespace |
| 6076 | namespace { |
| 6077 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_hfft_out(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6078 | // No device check |
| 6079 | // DeviceGuard omitted |
| 6080 | return at::native::fft_hfft_out(self, n, dim, norm, out); |
| 6081 | } |
| 6082 | } // anonymous namespace |
| 6083 | namespace { |
| 6084 | at::Tensor wrapper_CompositeImplicitAutograd__fft_ihfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 6085 | // No device check |
| 6086 | // DeviceGuard omitted |
| 6087 | return at::native::fft_ihfft(self, n, dim, norm); |
| 6088 | } |
| 6089 | } // anonymous namespace |
| 6090 | namespace { |
| 6091 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_ihfft_out(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6092 | // No device check |
| 6093 | // DeviceGuard omitted |
| 6094 | return at::native::fft_ihfft_out(self, n, dim, norm, out); |
| 6095 | } |
| 6096 | } // anonymous namespace |
| 6097 | namespace { |
| 6098 | at::Tensor wrapper_CompositeImplicitAutograd__fft_fft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6099 | // No device check |
| 6100 | // DeviceGuard omitted |
| 6101 | return at::native::fft_fft2(self, s, dim, norm); |
| 6102 | } |
| 6103 | } // anonymous namespace |
| 6104 | namespace { |
| 6105 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_fft2_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6106 | // No device check |
| 6107 | // DeviceGuard omitted |
| 6108 | return at::native::fft_fft2_out(self, s, dim, norm, out); |
| 6109 | } |
| 6110 | } // anonymous namespace |
| 6111 | namespace { |
| 6112 | at::Tensor wrapper_CompositeImplicitAutograd__fft_ifft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6113 | // No device check |
| 6114 | // DeviceGuard omitted |
| 6115 | return at::native::fft_ifft2(self, s, dim, norm); |
| 6116 | } |
| 6117 | } // anonymous namespace |
| 6118 | namespace { |
| 6119 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_ifft2_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6120 | // No device check |
| 6121 | // DeviceGuard omitted |
| 6122 | return at::native::fft_ifft2_out(self, s, dim, norm, out); |
| 6123 | } |
| 6124 | } // anonymous namespace |
| 6125 | namespace { |
| 6126 | at::Tensor wrapper_CompositeImplicitAutograd__fft_rfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6127 | // No device check |
| 6128 | // DeviceGuard omitted |
| 6129 | return at::native::fft_rfft2(self, s, dim, norm); |
| 6130 | } |
| 6131 | } // anonymous namespace |
| 6132 | namespace { |
| 6133 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_rfft2_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6134 | // No device check |
| 6135 | // DeviceGuard omitted |
| 6136 | return at::native::fft_rfft2_out(self, s, dim, norm, out); |
| 6137 | } |
| 6138 | } // anonymous namespace |
| 6139 | namespace { |
| 6140 | at::Tensor wrapper_CompositeImplicitAutograd__fft_irfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6141 | // No device check |
| 6142 | // DeviceGuard omitted |
| 6143 | return at::native::fft_irfft2(self, s, dim, norm); |
| 6144 | } |
| 6145 | } // anonymous namespace |
| 6146 | namespace { |
| 6147 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_irfft2_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6148 | // No device check |
| 6149 | // DeviceGuard omitted |
| 6150 | return at::native::fft_irfft2_out(self, s, dim, norm, out); |
| 6151 | } |
| 6152 | } // anonymous namespace |
| 6153 | namespace { |
| 6154 | at::Tensor wrapper_CompositeImplicitAutograd__fft_hfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6155 | // No device check |
| 6156 | // DeviceGuard omitted |
| 6157 | return at::native::fft_hfft2(self, s, dim, norm); |
| 6158 | } |
| 6159 | } // anonymous namespace |
| 6160 | namespace { |
| 6161 | const at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_hfft2_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 6162 | // No device check |
| 6163 | // DeviceGuard omitted |
| 6164 | return at::native::fft_hfft2_out(self, s, dim, norm, out); |
| 6165 | } |
| 6166 | } // anonymous namespace |
| 6167 | namespace { |
| 6168 | at::Tensor wrapper_CompositeImplicitAutograd__fft_ihfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6169 | // No device check |
| 6170 | // DeviceGuard omitted |
| 6171 | return at::native::fft_ihfft2(self, s, dim, norm); |
| 6172 | } |
| 6173 | } // anonymous namespace |
| 6174 | namespace { |
| 6175 | const at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_ihfft2_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 6176 | // No device check |
| 6177 | // DeviceGuard omitted |
| 6178 | return at::native::fft_ihfft2_out(self, s, dim, norm, out); |
| 6179 | } |
| 6180 | } // anonymous namespace |
| 6181 | namespace { |
| 6182 | at::Tensor wrapper_CompositeImplicitAutograd__fft_fftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6183 | // No device check |
| 6184 | // DeviceGuard omitted |
| 6185 | return at::native::fft_fftn(self, s, dim, norm); |
| 6186 | } |
| 6187 | } // anonymous namespace |
| 6188 | namespace { |
| 6189 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_fftn_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6190 | // No device check |
| 6191 | // DeviceGuard omitted |
| 6192 | return at::native::fft_fftn_out(self, s, dim, norm, out); |
| 6193 | } |
| 6194 | } // anonymous namespace |
| 6195 | namespace { |
| 6196 | at::Tensor wrapper_CompositeImplicitAutograd__fft_ifftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6197 | // No device check |
| 6198 | // DeviceGuard omitted |
| 6199 | return at::native::fft_ifftn(self, s, dim, norm); |
| 6200 | } |
| 6201 | } // anonymous namespace |
| 6202 | namespace { |
| 6203 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_ifftn_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6204 | // No device check |
| 6205 | // DeviceGuard omitted |
| 6206 | return at::native::fft_ifftn_out(self, s, dim, norm, out); |
| 6207 | } |
| 6208 | } // anonymous namespace |
| 6209 | namespace { |
| 6210 | at::Tensor wrapper_CompositeImplicitAutograd__fft_rfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6211 | // No device check |
| 6212 | // DeviceGuard omitted |
| 6213 | return at::native::fft_rfftn(self, s, dim, norm); |
| 6214 | } |
| 6215 | } // anonymous namespace |
| 6216 | namespace { |
| 6217 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_rfftn_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6218 | // No device check |
| 6219 | // DeviceGuard omitted |
| 6220 | return at::native::fft_rfftn_out(self, s, dim, norm, out); |
| 6221 | } |
| 6222 | } // anonymous namespace |
| 6223 | namespace { |
| 6224 | at::Tensor wrapper_CompositeImplicitAutograd__fft_irfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6225 | // No device check |
| 6226 | // DeviceGuard omitted |
| 6227 | return at::native::fft_irfftn(self, s, dim, norm); |
| 6228 | } |
| 6229 | } // anonymous namespace |
| 6230 | namespace { |
| 6231 | at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_irfftn_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 6232 | // No device check |
| 6233 | // DeviceGuard omitted |
| 6234 | return at::native::fft_irfftn_out(self, s, dim, norm, out); |
| 6235 | } |
| 6236 | } // anonymous namespace |
| 6237 | namespace { |
| 6238 | at::Tensor wrapper_CompositeImplicitAutograd__fft_hfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6239 | // No device check |
| 6240 | // DeviceGuard omitted |
| 6241 | return at::native::fft_hfftn(self, s, dim, norm); |
| 6242 | } |
| 6243 | } // anonymous namespace |
| 6244 | namespace { |
| 6245 | const at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_hfftn_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 6246 | // No device check |
| 6247 | // DeviceGuard omitted |
| 6248 | return at::native::fft_hfftn_out(self, s, dim, norm, out); |
| 6249 | } |
| 6250 | } // anonymous namespace |
| 6251 | namespace { |
| 6252 | at::Tensor wrapper_CompositeImplicitAutograd__fft_ihfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 6253 | // No device check |
| 6254 | // DeviceGuard omitted |
| 6255 | return at::native::fft_ihfftn(self, s, dim, norm); |
| 6256 | } |
| 6257 | } // anonymous namespace |
| 6258 | namespace { |
| 6259 | const at::Tensor & wrapper_CompositeImplicitAutograd_out_fft_ihfftn_out(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 6260 | // No device check |
| 6261 | // DeviceGuard omitted |
| 6262 | return at::native::fft_ihfftn_out(self, s, dim, norm, out); |
| 6263 | } |
| 6264 | } // anonymous namespace |
| 6265 | namespace { |
| 6266 | at::Tensor wrapper_CompositeImplicitAutograd__fft_fftshift(const at::Tensor & self, at::OptionalIntArrayRef dim) { |
| 6267 | // No device check |
| 6268 | // DeviceGuard omitted |
| 6269 | return at::native::fft_fftshift(self, dim); |
| 6270 | } |
| 6271 | } // anonymous namespace |
| 6272 | namespace { |
| 6273 | at::Tensor wrapper_CompositeImplicitAutograd__fft_ifftshift(const at::Tensor & self, at::OptionalIntArrayRef dim) { |
| 6274 | // No device check |
| 6275 | // DeviceGuard omitted |
| 6276 | return at::native::fft_ifftshift(self, dim); |
| 6277 | } |
| 6278 | } // anonymous namespace |
| 6279 | namespace { |
| 6280 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_cholesky(const at::Tensor & self, bool upper) { |
| 6281 | // No device check |
| 6282 | // DeviceGuard omitted |
| 6283 | return at::native::linalg_cholesky(self, upper); |
| 6284 | } |
| 6285 | } // anonymous namespace |
| 6286 | namespace { |
| 6287 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_cholesky_out(const at::Tensor & self, bool upper, at::Tensor & out) { |
| 6288 | // No device check |
| 6289 | // DeviceGuard omitted |
| 6290 | return at::native::linalg_cholesky_out(self, upper, out); |
| 6291 | } |
| 6292 | } // anonymous namespace |
| 6293 | namespace { |
| 6294 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__linalg_lu_factor(const at::Tensor & A, bool pivot) { |
| 6295 | // No device check |
| 6296 | // DeviceGuard omitted |
| 6297 | return at::native::linalg_lu_factor(A, pivot); |
| 6298 | } |
| 6299 | } // anonymous namespace |
| 6300 | namespace { |
| 6301 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_out_linalg_lu_factor_out(const at::Tensor & A, bool pivot, at::Tensor & LU, at::Tensor & pivots) { |
| 6302 | // No device check |
| 6303 | // DeviceGuard omitted |
| 6304 | return at::native::linalg_lu_factor_out(A, pivot, LU, pivots); |
| 6305 | } |
| 6306 | } // anonymous namespace |
| 6307 | namespace { |
| 6308 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_det(const at::Tensor & A) { |
| 6309 | // No device check |
| 6310 | // DeviceGuard omitted |
| 6311 | return at::native::linalg_det(A); |
| 6312 | } |
| 6313 | } // anonymous namespace |
| 6314 | namespace { |
| 6315 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_det_out(const at::Tensor & A, at::Tensor & out) { |
| 6316 | // No device check |
| 6317 | // DeviceGuard omitted |
| 6318 | return at::native::linalg_det_out(A, out); |
| 6319 | } |
| 6320 | } // anonymous namespace |
| 6321 | namespace { |
| 6322 | at::Tensor wrapper_CompositeImplicitAutograd__det(const at::Tensor & self) { |
| 6323 | // No device check |
| 6324 | // DeviceGuard omitted |
| 6325 | return at::native::det(self); |
| 6326 | } |
| 6327 | } // anonymous namespace |
| 6328 | namespace { |
| 6329 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__linalg_ldl_factor(const at::Tensor & self, bool hermitian) { |
| 6330 | // No device check |
| 6331 | // DeviceGuard omitted |
| 6332 | return at::native::linalg_ldl_factor(self, hermitian); |
| 6333 | } |
| 6334 | } // anonymous namespace |
| 6335 | namespace { |
| 6336 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_out_linalg_ldl_factor_out(const at::Tensor & self, bool hermitian, at::Tensor & LD, at::Tensor & pivots) { |
| 6337 | // No device check |
| 6338 | // DeviceGuard omitted |
| 6339 | return at::native::linalg_ldl_factor_out(self, hermitian, LD, pivots); |
| 6340 | } |
| 6341 | } // anonymous namespace |
| 6342 | namespace { |
| 6343 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_matmul(const at::Tensor & self, const at::Tensor & other) { |
| 6344 | // No device check |
| 6345 | // DeviceGuard omitted |
| 6346 | return at::native::linalg_matmul(self, other); |
| 6347 | } |
| 6348 | } // anonymous namespace |
| 6349 | namespace { |
| 6350 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_matmul_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 6351 | // No device check |
| 6352 | // DeviceGuard omitted |
| 6353 | return at::native::linalg_matmul_out(self, other, out); |
| 6354 | } |
| 6355 | } // anonymous namespace |
| 6356 | namespace { |
| 6357 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_vecdot(const at::Tensor & x, const at::Tensor & y, int64_t dim) { |
| 6358 | // No device check |
| 6359 | // DeviceGuard omitted |
| 6360 | return at::native::linalg_vecdot(x, y, dim); |
| 6361 | } |
| 6362 | } // anonymous namespace |
| 6363 | namespace { |
| 6364 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_vecdot_out(const at::Tensor & x, const at::Tensor & y, int64_t dim, at::Tensor & out) { |
| 6365 | // No device check |
| 6366 | // DeviceGuard omitted |
| 6367 | return at::native::linalg_vecdot_out(x, y, dim, out); |
| 6368 | } |
| 6369 | } // anonymous namespace |
| 6370 | namespace { |
| 6371 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__linalg_slogdet(const at::Tensor & A) { |
| 6372 | // No device check |
| 6373 | // DeviceGuard omitted |
| 6374 | return at::native::linalg_slogdet(A); |
| 6375 | } |
| 6376 | } // anonymous namespace |
| 6377 | namespace { |
| 6378 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_out_linalg_slogdet_out(const at::Tensor & A, at::Tensor & sign, at::Tensor & logabsdet) { |
| 6379 | // No device check |
| 6380 | // DeviceGuard omitted |
| 6381 | return at::native::linalg_slogdet_out(A, sign, logabsdet); |
| 6382 | } |
| 6383 | } // anonymous namespace |
| 6384 | namespace { |
| 6385 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__slogdet(const at::Tensor & self) { |
| 6386 | // No device check |
| 6387 | // DeviceGuard omitted |
| 6388 | return at::native::slogdet(self); |
| 6389 | } |
| 6390 | } // anonymous namespace |
| 6391 | namespace { |
| 6392 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_out_slogdet_out(const at::Tensor & self, at::Tensor & sign, at::Tensor & logabsdet) { |
| 6393 | // No device check |
| 6394 | // DeviceGuard omitted |
| 6395 | return at::native::slogdet_out(self, sign, logabsdet); |
| 6396 | } |
| 6397 | } // anonymous namespace |
| 6398 | namespace { |
| 6399 | at::Tensor wrapper_CompositeImplicitAutograd__logdet(const at::Tensor & self) { |
| 6400 | // No device check |
| 6401 | // DeviceGuard omitted |
| 6402 | return at::native::logdet(self); |
| 6403 | } |
| 6404 | } // anonymous namespace |
| 6405 | namespace { |
| 6406 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_eigvals(const at::Tensor & self) { |
| 6407 | // No device check |
| 6408 | // DeviceGuard omitted |
| 6409 | return at::native::linalg_eigvals(self); |
| 6410 | } |
| 6411 | } // anonymous namespace |
| 6412 | namespace { |
| 6413 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_eigvals_out(const at::Tensor & self, at::Tensor & out) { |
| 6414 | // No device check |
| 6415 | // DeviceGuard omitted |
| 6416 | return at::native::linalg_eigvals_out(self, out); |
| 6417 | } |
| 6418 | } // anonymous namespace |
| 6419 | namespace { |
| 6420 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__linalg_eigh(const at::Tensor & self, c10::string_view UPLO) { |
| 6421 | // No device check |
| 6422 | // DeviceGuard omitted |
| 6423 | return at::native::linalg_eigh(self, UPLO); |
| 6424 | } |
| 6425 | } // anonymous namespace |
| 6426 | namespace { |
| 6427 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_eigvals_linalg_eigh_out(const at::Tensor & self, c10::string_view UPLO, at::Tensor & eigvals, at::Tensor & eigvecs) { |
| 6428 | // No device check |
| 6429 | // DeviceGuard omitted |
| 6430 | return at::native::linalg_eigh_out(self, UPLO, eigvals, eigvecs); |
| 6431 | } |
| 6432 | } // anonymous namespace |
| 6433 | namespace { |
| 6434 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_eigvalsh(const at::Tensor & self, c10::string_view UPLO) { |
| 6435 | // No device check |
| 6436 | // DeviceGuard omitted |
| 6437 | return at::native::linalg_eigvalsh(self, UPLO); |
| 6438 | } |
| 6439 | } // anonymous namespace |
| 6440 | namespace { |
| 6441 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_eigvalsh_out(const at::Tensor & self, c10::string_view UPLO, at::Tensor & out) { |
| 6442 | // No device check |
| 6443 | // DeviceGuard omitted |
| 6444 | return at::native::linalg_eigvalsh_out(self, UPLO, out); |
| 6445 | } |
| 6446 | } // anonymous namespace |
| 6447 | namespace { |
| 6448 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_inv(const at::Tensor & A) { |
| 6449 | // No device check |
| 6450 | // DeviceGuard omitted |
| 6451 | return at::native::linalg_inv(A); |
| 6452 | } |
| 6453 | } // anonymous namespace |
| 6454 | namespace { |
| 6455 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_inv_out(const at::Tensor & A, at::Tensor & out) { |
| 6456 | // No device check |
| 6457 | // DeviceGuard omitted |
| 6458 | return at::native::linalg_inv_out(A, out); |
| 6459 | } |
| 6460 | } // anonymous namespace |
| 6461 | namespace { |
| 6462 | at::Tensor wrapper_CompositeImplicitAutograd__inverse(const at::Tensor & self) { |
| 6463 | // No device check |
| 6464 | // DeviceGuard omitted |
| 6465 | return at::native::inverse(self); |
| 6466 | } |
| 6467 | } // anonymous namespace |
| 6468 | namespace { |
| 6469 | at::Tensor & wrapper_CompositeImplicitAutograd_out_inverse_out(const at::Tensor & self, at::Tensor & out) { |
| 6470 | // No device check |
| 6471 | // DeviceGuard omitted |
| 6472 | return at::native::inverse_out(self, out); |
| 6473 | } |
| 6474 | } // anonymous namespace |
| 6475 | namespace { |
| 6476 | at::Tensor wrapper_CompositeImplicitAutograd__inner(const at::Tensor & self, const at::Tensor & other) { |
| 6477 | // No device check |
| 6478 | // DeviceGuard omitted |
| 6479 | return at::native::inner(self, other); |
| 6480 | } |
| 6481 | } // anonymous namespace |
| 6482 | namespace { |
| 6483 | at::Tensor & wrapper_CompositeImplicitAutograd_out_inner_out(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 6484 | // No device check |
| 6485 | // DeviceGuard omitted |
| 6486 | return at::native::inner_out(self, other, out); |
| 6487 | } |
| 6488 | } // anonymous namespace |
| 6489 | namespace { |
| 6490 | at::Tensor wrapper_CompositeImplicitAutograd__outer(const at::Tensor & self, const at::Tensor & vec2) { |
| 6491 | // No device check |
| 6492 | // DeviceGuard omitted |
| 6493 | return at::native::outer(self, vec2); |
| 6494 | } |
| 6495 | } // anonymous namespace |
| 6496 | namespace { |
| 6497 | at::Tensor & wrapper_CompositeImplicitAutograd_out_outer_out(const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) { |
| 6498 | // No device check |
| 6499 | // DeviceGuard omitted |
| 6500 | return at::native::outer_out(self, vec2, out); |
| 6501 | } |
| 6502 | } // anonymous namespace |
| 6503 | namespace { |
| 6504 | at::Tensor wrapper_CompositeImplicitAutograd__ger(const at::Tensor & self, const at::Tensor & vec2) { |
| 6505 | // No device check |
| 6506 | // DeviceGuard omitted |
| 6507 | return at::native::ger(self, vec2); |
| 6508 | } |
| 6509 | } // anonymous namespace |
| 6510 | namespace { |
| 6511 | at::Tensor & wrapper_CompositeImplicitAutograd_out_ger_out(const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) { |
| 6512 | // No device check |
| 6513 | // DeviceGuard omitted |
| 6514 | return at::native::ger_out(self, vec2, out); |
| 6515 | } |
| 6516 | } // anonymous namespace |
| 6517 | namespace { |
| 6518 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_norm(const at::Tensor & self, const c10::optional<at::Scalar> & ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 6519 | // No device check |
| 6520 | // DeviceGuard omitted |
| 6521 | return at::native::linalg_norm(self, ord, dim, keepdim, dtype); |
| 6522 | } |
| 6523 | } // anonymous namespace |
| 6524 | namespace { |
| 6525 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_norm_out(const at::Tensor & self, const c10::optional<at::Scalar> & ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6526 | // No device check |
| 6527 | // DeviceGuard omitted |
| 6528 | return at::native::linalg_norm_out(self, ord, dim, keepdim, dtype, out); |
| 6529 | } |
| 6530 | } // anonymous namespace |
| 6531 | namespace { |
| 6532 | at::Tensor wrapper_CompositeImplicitAutograd_ord_str_linalg_norm(const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 6533 | // No device check |
| 6534 | // DeviceGuard omitted |
| 6535 | return at::native::linalg_norm(self, ord, dim, keepdim, dtype); |
| 6536 | } |
| 6537 | } // anonymous namespace |
| 6538 | namespace { |
| 6539 | at::Tensor & wrapper_CompositeImplicitAutograd_ord_str_out_linalg_norm_out(const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6540 | // No device check |
| 6541 | // DeviceGuard omitted |
| 6542 | return at::native::linalg_norm_out(self, ord, dim, keepdim, dtype, out); |
| 6543 | } |
| 6544 | } // anonymous namespace |
| 6545 | namespace { |
| 6546 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_matrix_norm(const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 6547 | // No device check |
| 6548 | // DeviceGuard omitted |
| 6549 | return at::native::linalg_matrix_norm(self, ord, dim, keepdim, dtype); |
| 6550 | } |
| 6551 | } // anonymous namespace |
| 6552 | namespace { |
| 6553 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_matrix_norm_out(const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6554 | // No device check |
| 6555 | // DeviceGuard omitted |
| 6556 | return at::native::linalg_matrix_norm_out(self, ord, dim, keepdim, dtype, out); |
| 6557 | } |
| 6558 | } // anonymous namespace |
| 6559 | namespace { |
| 6560 | at::Tensor wrapper_CompositeImplicitAutograd_str_ord_linalg_matrix_norm(const at::Tensor & self, c10::string_view ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 6561 | // No device check |
| 6562 | // DeviceGuard omitted |
| 6563 | return at::native::linalg_matrix_norm(self, ord, dim, keepdim, dtype); |
| 6564 | } |
| 6565 | } // anonymous namespace |
| 6566 | namespace { |
| 6567 | at::Tensor & wrapper_CompositeImplicitAutograd_str_ord_out_linalg_matrix_norm_out(const at::Tensor & self, c10::string_view ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 6568 | // No device check |
| 6569 | // DeviceGuard omitted |
| 6570 | return at::native::linalg_matrix_norm_out(self, ord, dim, keepdim, dtype, out); |
| 6571 | } |
| 6572 | } // anonymous namespace |
| 6573 | namespace { |
| 6574 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__linalg_svd(const at::Tensor & A, bool full_matrices, c10::optional<c10::string_view> driver) { |
| 6575 | // No device check |
| 6576 | // DeviceGuard omitted |
| 6577 | return at::native::linalg_svd(A, full_matrices, driver); |
| 6578 | } |
| 6579 | } // anonymous namespace |
| 6580 | namespace { |
| 6581 | ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_U_linalg_svd_out(const at::Tensor & A, bool full_matrices, c10::optional<c10::string_view> driver, at::Tensor & U, at::Tensor & S, at::Tensor & Vh) { |
| 6582 | // No device check |
| 6583 | // DeviceGuard omitted |
| 6584 | return at::native::linalg_svd_out(A, full_matrices, driver, U, S, Vh); |
| 6585 | } |
| 6586 | } // anonymous namespace |
| 6587 | namespace { |
| 6588 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_svdvals(const at::Tensor & A, c10::optional<c10::string_view> driver) { |
| 6589 | // No device check |
| 6590 | // DeviceGuard omitted |
| 6591 | return at::native::linalg_svdvals(A, driver); |
| 6592 | } |
| 6593 | } // anonymous namespace |
| 6594 | namespace { |
| 6595 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_svdvals_out(const at::Tensor & A, c10::optional<c10::string_view> driver, at::Tensor & out) { |
| 6596 | // No device check |
| 6597 | // DeviceGuard omitted |
| 6598 | return at::native::linalg_svdvals_out(A, driver, out); |
| 6599 | } |
| 6600 | } // anonymous namespace |
| 6601 | namespace { |
| 6602 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_cond(const at::Tensor & self, const c10::optional<at::Scalar> & p) { |
| 6603 | // No device check |
| 6604 | // DeviceGuard omitted |
| 6605 | return at::native::linalg_cond(self, p); |
| 6606 | } |
| 6607 | } // anonymous namespace |
| 6608 | namespace { |
| 6609 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_cond_out(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::Tensor & out) { |
| 6610 | // No device check |
| 6611 | // DeviceGuard omitted |
| 6612 | return at::native::linalg_cond_out(self, p, out); |
| 6613 | } |
| 6614 | } // anonymous namespace |
| 6615 | namespace { |
| 6616 | at::Tensor wrapper_CompositeImplicitAutograd_p_str_linalg_cond(const at::Tensor & self, c10::string_view p) { |
| 6617 | // No device check |
| 6618 | // DeviceGuard omitted |
| 6619 | return at::native::linalg_cond(self, p); |
| 6620 | } |
| 6621 | } // anonymous namespace |
| 6622 | namespace { |
| 6623 | at::Tensor & wrapper_CompositeImplicitAutograd_p_str_out_linalg_cond_out(const at::Tensor & self, c10::string_view p, at::Tensor & out) { |
| 6624 | // No device check |
| 6625 | // DeviceGuard omitted |
| 6626 | return at::native::linalg_cond_out(self, p, out); |
| 6627 | } |
| 6628 | } // anonymous namespace |
| 6629 | namespace { |
| 6630 | at::Tensor wrapper_CompositeImplicitAutograd_atol_rtol_float_linalg_pinv(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian) { |
| 6631 | // No device check |
| 6632 | // DeviceGuard omitted |
| 6633 | return at::native::linalg_pinv(self, atol, rtol, hermitian); |
| 6634 | } |
| 6635 | } // anonymous namespace |
| 6636 | namespace { |
| 6637 | at::Tensor & wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_pinv_out(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian, at::Tensor & out) { |
| 6638 | // No device check |
| 6639 | // DeviceGuard omitted |
| 6640 | return at::native::linalg_pinv_out(self, atol, rtol, hermitian, out); |
| 6641 | } |
| 6642 | } // anonymous namespace |
| 6643 | namespace { |
| 6644 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_pinv(const at::Tensor & self, double rcond, bool hermitian) { |
| 6645 | // No device check |
| 6646 | // DeviceGuard omitted |
| 6647 | return at::native::linalg_pinv(self, rcond, hermitian); |
| 6648 | } |
| 6649 | } // anonymous namespace |
| 6650 | namespace { |
| 6651 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_pinv_out(const at::Tensor & self, double rcond, bool hermitian, at::Tensor & out) { |
| 6652 | // No device check |
| 6653 | // DeviceGuard omitted |
| 6654 | return at::native::linalg_pinv_out(self, rcond, hermitian, out); |
| 6655 | } |
| 6656 | } // anonymous namespace |
| 6657 | namespace { |
| 6658 | at::Tensor wrapper_CompositeImplicitAutograd_rcond_tensor_linalg_pinv(const at::Tensor & self, const at::Tensor & rcond, bool hermitian) { |
| 6659 | // No device check |
| 6660 | // DeviceGuard omitted |
| 6661 | return at::native::linalg_pinv(self, rcond, hermitian); |
| 6662 | } |
| 6663 | } // anonymous namespace |
| 6664 | namespace { |
| 6665 | at::Tensor & wrapper_CompositeImplicitAutograd_out_rcond_tensor_linalg_pinv_out(const at::Tensor & self, const at::Tensor & rcond, bool hermitian, at::Tensor & out) { |
| 6666 | // No device check |
| 6667 | // DeviceGuard omitted |
| 6668 | return at::native::linalg_pinv_out(self, rcond, hermitian, out); |
| 6669 | } |
| 6670 | } // anonymous namespace |
| 6671 | namespace { |
| 6672 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd__linalg_solve_ex(const at::Tensor & A, const at::Tensor & B, bool left, bool check_errors) { |
| 6673 | // No device check |
| 6674 | // DeviceGuard omitted |
| 6675 | return at::native::linalg_solve_ex(A, B, left, check_errors); |
| 6676 | } |
| 6677 | } // anonymous namespace |
| 6678 | namespace { |
| 6679 | ::std::tuple<at::Tensor &,at::Tensor &> wrapper_CompositeImplicitAutograd_out_linalg_solve_ex_out(const at::Tensor & A, const at::Tensor & B, bool left, bool check_errors, at::Tensor & result, at::Tensor & info) { |
| 6680 | // No device check |
| 6681 | // DeviceGuard omitted |
| 6682 | return at::native::linalg_solve_ex_out(A, B, left, check_errors, result, info); |
| 6683 | } |
| 6684 | } // anonymous namespace |
| 6685 | namespace { |
| 6686 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_solve(const at::Tensor & A, const at::Tensor & B, bool left) { |
| 6687 | // No device check |
| 6688 | // DeviceGuard omitted |
| 6689 | return at::native::linalg_solve(A, B, left); |
| 6690 | } |
| 6691 | } // anonymous namespace |
| 6692 | namespace { |
| 6693 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_solve_out(const at::Tensor & A, const at::Tensor & B, bool left, at::Tensor & out) { |
| 6694 | // No device check |
| 6695 | // DeviceGuard omitted |
| 6696 | return at::native::linalg_solve_out(A, B, left, out); |
| 6697 | } |
| 6698 | } // anonymous namespace |
| 6699 | namespace { |
| 6700 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_tensorinv(const at::Tensor & self, int64_t ind) { |
| 6701 | // No device check |
| 6702 | // DeviceGuard omitted |
| 6703 | return at::native::linalg_tensorinv(self, ind); |
| 6704 | } |
| 6705 | } // anonymous namespace |
| 6706 | namespace { |
| 6707 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_tensorinv_out(const at::Tensor & self, int64_t ind, at::Tensor & out) { |
| 6708 | // No device check |
| 6709 | // DeviceGuard omitted |
| 6710 | return at::native::linalg_tensorinv_out(self, ind, out); |
| 6711 | } |
| 6712 | } // anonymous namespace |
| 6713 | namespace { |
| 6714 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_tensorsolve(const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims) { |
| 6715 | // No device check |
| 6716 | // DeviceGuard omitted |
| 6717 | return at::native::linalg_tensorsolve(self, other, dims); |
| 6718 | } |
| 6719 | } // anonymous namespace |
| 6720 | namespace { |
| 6721 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_tensorsolve_out(const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims, at::Tensor & out) { |
| 6722 | // No device check |
| 6723 | // DeviceGuard omitted |
| 6724 | return at::native::linalg_tensorsolve_out(self, other, dims, out); |
| 6725 | } |
| 6726 | } // anonymous namespace |
| 6727 | namespace { |
| 6728 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_matrix_power(const at::Tensor & self, int64_t n) { |
| 6729 | // No device check |
| 6730 | // DeviceGuard omitted |
| 6731 | return at::native::linalg_matrix_power(self, n); |
| 6732 | } |
| 6733 | } // anonymous namespace |
| 6734 | namespace { |
| 6735 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_matrix_power_out(const at::Tensor & self, int64_t n, at::Tensor & out) { |
| 6736 | // No device check |
| 6737 | // DeviceGuard omitted |
| 6738 | return at::native::linalg_matrix_power_out(self, n, out); |
| 6739 | } |
| 6740 | } // anonymous namespace |
| 6741 | namespace { |
| 6742 | at::Tensor wrapper_CompositeImplicitAutograd_atol_rtol_tensor_linalg_matrix_rank(const at::Tensor & input, const c10::optional<at::Tensor> & atol, const c10::optional<at::Tensor> & rtol, bool hermitian) { |
| 6743 | // No device check |
| 6744 | // DeviceGuard omitted |
| 6745 | return at::native::linalg_matrix_rank(input, atol, rtol, hermitian); |
| 6746 | } |
| 6747 | } // anonymous namespace |
| 6748 | namespace { |
| 6749 | at::Tensor & wrapper_CompositeImplicitAutograd_atol_rtol_tensor_out_linalg_matrix_rank_out(const at::Tensor & input, const c10::optional<at::Tensor> & atol, const c10::optional<at::Tensor> & rtol, bool hermitian, at::Tensor & out) { |
| 6750 | // No device check |
| 6751 | // DeviceGuard omitted |
| 6752 | return at::native::linalg_matrix_rank_out(input, atol, rtol, hermitian, out); |
| 6753 | } |
| 6754 | } // anonymous namespace |
| 6755 | namespace { |
| 6756 | at::Tensor wrapper_CompositeImplicitAutograd_atol_rtol_float_linalg_matrix_rank(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian) { |
| 6757 | // No device check |
| 6758 | // DeviceGuard omitted |
| 6759 | return at::native::linalg_matrix_rank(self, atol, rtol, hermitian); |
| 6760 | } |
| 6761 | } // anonymous namespace |
| 6762 | namespace { |
| 6763 | at::Tensor & wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_matrix_rank_out(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian, at::Tensor & out) { |
| 6764 | // No device check |
| 6765 | // DeviceGuard omitted |
| 6766 | return at::native::linalg_matrix_rank_out(self, atol, rtol, hermitian, out); |
| 6767 | } |
| 6768 | } // anonymous namespace |
| 6769 | namespace { |
| 6770 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_matrix_rank(const at::Tensor & self, double tol, bool hermitian) { |
| 6771 | // No device check |
| 6772 | // DeviceGuard omitted |
| 6773 | return at::native::linalg_matrix_rank(self, tol, hermitian); |
| 6774 | } |
| 6775 | } // anonymous namespace |
| 6776 | namespace { |
| 6777 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_matrix_rank_out(const at::Tensor & self, double tol, bool hermitian, at::Tensor & out) { |
| 6778 | // No device check |
| 6779 | // DeviceGuard omitted |
| 6780 | return at::native::linalg_matrix_rank_out(self, tol, hermitian, out); |
| 6781 | } |
| 6782 | } // anonymous namespace |
| 6783 | namespace { |
| 6784 | at::Tensor wrapper_CompositeImplicitAutograd_tol_tensor_linalg_matrix_rank(const at::Tensor & input, const at::Tensor & tol, bool hermitian) { |
| 6785 | // No device check |
| 6786 | // DeviceGuard omitted |
| 6787 | return at::native::linalg_matrix_rank(input, tol, hermitian); |
| 6788 | } |
| 6789 | } // anonymous namespace |
| 6790 | namespace { |
| 6791 | at::Tensor & wrapper_CompositeImplicitAutograd_out_tol_tensor_linalg_matrix_rank_out(const at::Tensor & input, const at::Tensor & tol, bool hermitian, at::Tensor & out) { |
| 6792 | // No device check |
| 6793 | // DeviceGuard omitted |
| 6794 | return at::native::linalg_matrix_rank_out(input, tol, hermitian, out); |
| 6795 | } |
| 6796 | } // anonymous namespace |
| 6797 | namespace { |
| 6798 | at::Tensor wrapper_CompositeImplicitAutograd__linalg_multi_dot(at::TensorList tensors) { |
| 6799 | // No device check |
| 6800 | // DeviceGuard omitted |
| 6801 | return at::native::linalg_multi_dot(tensors); |
| 6802 | } |
| 6803 | } // anonymous namespace |
| 6804 | namespace { |
| 6805 | at::Tensor & wrapper_CompositeImplicitAutograd_out_linalg_multi_dot_out(at::TensorList tensors, at::Tensor & out) { |
| 6806 | // No device check |
| 6807 | // DeviceGuard omitted |
| 6808 | return at::native::linalg_multi_dot_out(tensors, out); |
| 6809 | } |
| 6810 | } // anonymous namespace |
| 6811 | namespace { |
| 6812 | at::Tensor wrapper_CompositeImplicitAutograd__nested_to_padded_tensor(const at::Tensor & self, double padding, at::OptionalIntArrayRef output_size) { |
| 6813 | // No device check |
| 6814 | // DeviceGuard omitted |
| 6815 | return at::native::nested_to_padded_tensor(self, padding, output_size); |
| 6816 | } |
| 6817 | } // anonymous namespace |
| 6818 | namespace { |
| 6819 | at::Tensor wrapper_CompositeImplicitAutograd___test_serialization_subcmul(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha) { |
| 6820 | // No device check |
| 6821 | // DeviceGuard omitted |
| 6822 | return at::native::_test_serialization_subcmul(self, other, alpha); |
| 6823 | } |
| 6824 | } // anonymous namespace |
| 6825 | namespace { |
| 6826 | at::Tensor wrapper_CompositeImplicitAutograd___test_string_default(const at::Tensor & dummy, c10::string_view a, c10::string_view b) { |
| 6827 | // No device check |
| 6828 | // DeviceGuard omitted |
| 6829 | return at::native::_test_string_default(dummy, a, b); |
| 6830 | } |
| 6831 | } // anonymous namespace |
| 6832 | namespace { |
| 6833 | at::Tensor wrapper_CompositeImplicitAutograd_a__test_ambiguous_defaults(const at::Tensor & dummy, int64_t a, int64_t b) { |
| 6834 | // No device check |
| 6835 | // DeviceGuard omitted |
| 6836 | return at::native::_test_ambiguous_defaults(dummy, a, b); |
| 6837 | } |
| 6838 | } // anonymous namespace |
| 6839 | namespace { |
| 6840 | at::Tensor wrapper_CompositeImplicitAutograd_b__test_ambiguous_defaults(const at::Tensor & dummy, int64_t a, c10::string_view b) { |
| 6841 | // No device check |
| 6842 | // DeviceGuard omitted |
| 6843 | return at::native::_test_ambiguous_defaults(dummy, a, b); |
| 6844 | } |
| 6845 | } // anonymous namespace |
| 6846 | namespace { |
| 6847 | at::Tensor wrapper_CompositeImplicitAutograd_ntonly__test_autograd_multiple_dispatch(const at::Tensor & self, bool b) { |
| 6848 | // No device check |
| 6849 | // DeviceGuard omitted |
| 6850 | return at::native::_test_autograd_multiple_dispatch_ntonly(self, b); |
| 6851 | } |
| 6852 | } // anonymous namespace |
| 6853 | namespace { |
| 6854 | at::Tensor wrapper_CompositeImplicitAutograd__pad_sequence(at::TensorList sequences, bool batch_first, double padding_value) { |
| 6855 | // No device check |
| 6856 | // DeviceGuard omitted |
| 6857 | return at::native::pad_sequence(sequences, batch_first, padding_value); |
| 6858 | } |
| 6859 | } // anonymous namespace |
| 6860 | namespace { |
| 6861 | at::Tensor wrapper_CompositeImplicitAutograd__flatten_dense_tensors(at::TensorList tensors) { |
| 6862 | // No device check |
| 6863 | // DeviceGuard omitted |
| 6864 | return at::native::flatten_dense_tensors(tensors); |
| 6865 | } |
| 6866 | } // anonymous namespace |
| 6867 | namespace { |
| 6868 | ::std::vector<at::Tensor> wrapper_CompositeImplicitAutograd__unflatten_dense_tensors(const at::Tensor & flat, at::TensorList tensors) { |
| 6869 | // No device check |
| 6870 | // DeviceGuard omitted |
| 6871 | return at::native::unflatten_dense_tensors(flat, tensors); |
| 6872 | } |
| 6873 | } // anonymous namespace |
| 6874 | namespace { |
| 6875 | at::Tensor wrapper_CompositeImplicitAutograd__scaled_dot_product_attention(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask, double dropout_p, bool is_causal) { |
| 6876 | // No device check |
| 6877 | // DeviceGuard omitted |
| 6878 | return at::native::scaled_dot_product_attention(query, key, value, attn_mask, dropout_p, is_causal); |
| 6879 | } |
| 6880 | } // anonymous namespace |
| 6881 | namespace { |
| 6882 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___scaled_dot_product_attention(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask, double dropout_p, bool need_attn_weights, bool is_causal) { |
| 6883 | // No device check |
| 6884 | // DeviceGuard omitted |
| 6885 | return at::native::_scaled_dot_product_attention(query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal); |
| 6886 | } |
| 6887 | } // anonymous namespace |
| 6888 | namespace { |
| 6889 | ::std::tuple<at::Tensor,at::Tensor> wrapper_CompositeImplicitAutograd___scaled_dot_product_attention_math(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask, double dropout_p, bool is_causal, const c10::optional<at::Tensor> & dropout_mask) { |
| 6890 | // No device check |
| 6891 | // DeviceGuard omitted |
| 6892 | return at::native::_scaled_dot_product_attention_math(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask); |
| 6893 | } |
| 6894 | } // anonymous namespace |
| 6895 | namespace { |
| 6896 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_t(const at::Scalar & x, const at::Tensor & n) { |
| 6897 | // No device check |
| 6898 | // DeviceGuard omitted |
| 6899 | return at::native::special_chebyshev_polynomial_t(x, n); |
| 6900 | } |
| 6901 | } // anonymous namespace |
| 6902 | namespace { |
| 6903 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_t_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 6904 | // No device check |
| 6905 | // DeviceGuard omitted |
| 6906 | return at::native::special_chebyshev_polynomial_t_out(x, n, out); |
| 6907 | } |
| 6908 | } // anonymous namespace |
| 6909 | namespace { |
| 6910 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_t(const at::Tensor & x, const at::Scalar & n) { |
| 6911 | // No device check |
| 6912 | // DeviceGuard omitted |
| 6913 | return at::native::special_chebyshev_polynomial_t(x, n); |
| 6914 | } |
| 6915 | } // anonymous namespace |
| 6916 | namespace { |
| 6917 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_u(const at::Scalar & x, const at::Tensor & n) { |
| 6918 | // No device check |
| 6919 | // DeviceGuard omitted |
| 6920 | return at::native::special_chebyshev_polynomial_u(x, n); |
| 6921 | } |
| 6922 | } // anonymous namespace |
| 6923 | namespace { |
| 6924 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_u_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 6925 | // No device check |
| 6926 | // DeviceGuard omitted |
| 6927 | return at::native::special_chebyshev_polynomial_u_out(x, n, out); |
| 6928 | } |
| 6929 | } // anonymous namespace |
| 6930 | namespace { |
| 6931 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_u(const at::Tensor & x, const at::Scalar & n) { |
| 6932 | // No device check |
| 6933 | // DeviceGuard omitted |
| 6934 | return at::native::special_chebyshev_polynomial_u(x, n); |
| 6935 | } |
| 6936 | } // anonymous namespace |
| 6937 | namespace { |
| 6938 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_v(const at::Scalar & x, const at::Tensor & n) { |
| 6939 | // No device check |
| 6940 | // DeviceGuard omitted |
| 6941 | return at::native::special_chebyshev_polynomial_v(x, n); |
| 6942 | } |
| 6943 | } // anonymous namespace |
| 6944 | namespace { |
| 6945 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_v_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 6946 | // No device check |
| 6947 | // DeviceGuard omitted |
| 6948 | return at::native::special_chebyshev_polynomial_v_out(x, n, out); |
| 6949 | } |
| 6950 | } // anonymous namespace |
| 6951 | namespace { |
| 6952 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_v(const at::Tensor & x, const at::Scalar & n) { |
| 6953 | // No device check |
| 6954 | // DeviceGuard omitted |
| 6955 | return at::native::special_chebyshev_polynomial_v(x, n); |
| 6956 | } |
| 6957 | } // anonymous namespace |
| 6958 | namespace { |
| 6959 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_w(const at::Scalar & x, const at::Tensor & n) { |
| 6960 | // No device check |
| 6961 | // DeviceGuard omitted |
| 6962 | return at::native::special_chebyshev_polynomial_w(x, n); |
| 6963 | } |
| 6964 | } // anonymous namespace |
| 6965 | namespace { |
| 6966 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_w_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 6967 | // No device check |
| 6968 | // DeviceGuard omitted |
| 6969 | return at::native::special_chebyshev_polynomial_w_out(x, n, out); |
| 6970 | } |
| 6971 | } // anonymous namespace |
| 6972 | namespace { |
| 6973 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_w(const at::Tensor & x, const at::Scalar & n) { |
| 6974 | // No device check |
| 6975 | // DeviceGuard omitted |
| 6976 | return at::native::special_chebyshev_polynomial_w(x, n); |
| 6977 | } |
| 6978 | } // anonymous namespace |
| 6979 | namespace { |
| 6980 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_hermite_polynomial_h(const at::Scalar & x, const at::Tensor & n) { |
| 6981 | // No device check |
| 6982 | // DeviceGuard omitted |
| 6983 | return at::native::special_hermite_polynomial_h(x, n); |
| 6984 | } |
| 6985 | } // anonymous namespace |
| 6986 | namespace { |
| 6987 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_h_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 6988 | // No device check |
| 6989 | // DeviceGuard omitted |
| 6990 | return at::native::special_hermite_polynomial_h_out(x, n, out); |
| 6991 | } |
| 6992 | } // anonymous namespace |
| 6993 | namespace { |
| 6994 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_hermite_polynomial_h(const at::Tensor & x, const at::Scalar & n) { |
| 6995 | // No device check |
| 6996 | // DeviceGuard omitted |
| 6997 | return at::native::special_hermite_polynomial_h(x, n); |
| 6998 | } |
| 6999 | } // anonymous namespace |
| 7000 | namespace { |
| 7001 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_hermite_polynomial_he(const at::Scalar & x, const at::Tensor & n) { |
| 7002 | // No device check |
| 7003 | // DeviceGuard omitted |
| 7004 | return at::native::special_hermite_polynomial_he(x, n); |
| 7005 | } |
| 7006 | } // anonymous namespace |
| 7007 | namespace { |
| 7008 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_he_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 7009 | // No device check |
| 7010 | // DeviceGuard omitted |
| 7011 | return at::native::special_hermite_polynomial_he_out(x, n, out); |
| 7012 | } |
| 7013 | } // anonymous namespace |
| 7014 | namespace { |
| 7015 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_hermite_polynomial_he(const at::Tensor & x, const at::Scalar & n) { |
| 7016 | // No device check |
| 7017 | // DeviceGuard omitted |
| 7018 | return at::native::special_hermite_polynomial_he(x, n); |
| 7019 | } |
| 7020 | } // anonymous namespace |
| 7021 | namespace { |
| 7022 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_laguerre_polynomial_l(const at::Scalar & x, const at::Tensor & n) { |
| 7023 | // No device check |
| 7024 | // DeviceGuard omitted |
| 7025 | return at::native::special_laguerre_polynomial_l(x, n); |
| 7026 | } |
| 7027 | } // anonymous namespace |
| 7028 | namespace { |
| 7029 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_laguerre_polynomial_l_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 7030 | // No device check |
| 7031 | // DeviceGuard omitted |
| 7032 | return at::native::special_laguerre_polynomial_l_out(x, n, out); |
| 7033 | } |
| 7034 | } // anonymous namespace |
| 7035 | namespace { |
| 7036 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_laguerre_polynomial_l(const at::Tensor & x, const at::Scalar & n) { |
| 7037 | // No device check |
| 7038 | // DeviceGuard omitted |
| 7039 | return at::native::special_laguerre_polynomial_l(x, n); |
| 7040 | } |
| 7041 | } // anonymous namespace |
| 7042 | namespace { |
| 7043 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_legendre_polynomial_p(const at::Scalar & x, const at::Tensor & n) { |
| 7044 | // No device check |
| 7045 | // DeviceGuard omitted |
| 7046 | return at::native::special_legendre_polynomial_p(x, n); |
| 7047 | } |
| 7048 | } // anonymous namespace |
| 7049 | namespace { |
| 7050 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_legendre_polynomial_p_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 7051 | // No device check |
| 7052 | // DeviceGuard omitted |
| 7053 | return at::native::special_legendre_polynomial_p_out(x, n, out); |
| 7054 | } |
| 7055 | } // anonymous namespace |
| 7056 | namespace { |
| 7057 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_legendre_polynomial_p(const at::Tensor & x, const at::Scalar & n) { |
| 7058 | // No device check |
| 7059 | // DeviceGuard omitted |
| 7060 | return at::native::special_legendre_polynomial_p(x, n); |
| 7061 | } |
| 7062 | } // anonymous namespace |
| 7063 | namespace { |
| 7064 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_t(const at::Scalar & x, const at::Tensor & n) { |
| 7065 | // No device check |
| 7066 | // DeviceGuard omitted |
| 7067 | return at::native::special_shifted_chebyshev_polynomial_t(x, n); |
| 7068 | } |
| 7069 | } // anonymous namespace |
| 7070 | namespace { |
| 7071 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_t_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 7072 | // No device check |
| 7073 | // DeviceGuard omitted |
| 7074 | return at::native::special_shifted_chebyshev_polynomial_t_out(x, n, out); |
| 7075 | } |
| 7076 | } // anonymous namespace |
| 7077 | namespace { |
| 7078 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_t(const at::Tensor & x, const at::Scalar & n) { |
| 7079 | // No device check |
| 7080 | // DeviceGuard omitted |
| 7081 | return at::native::special_shifted_chebyshev_polynomial_t(x, n); |
| 7082 | } |
| 7083 | } // anonymous namespace |
| 7084 | namespace { |
| 7085 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_u(const at::Scalar & x, const at::Tensor & n) { |
| 7086 | // No device check |
| 7087 | // DeviceGuard omitted |
| 7088 | return at::native::special_shifted_chebyshev_polynomial_u(x, n); |
| 7089 | } |
| 7090 | } // anonymous namespace |
| 7091 | namespace { |
| 7092 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_u_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 7093 | // No device check |
| 7094 | // DeviceGuard omitted |
| 7095 | return at::native::special_shifted_chebyshev_polynomial_u_out(x, n, out); |
| 7096 | } |
| 7097 | } // anonymous namespace |
| 7098 | namespace { |
| 7099 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_u(const at::Tensor & x, const at::Scalar & n) { |
| 7100 | // No device check |
| 7101 | // DeviceGuard omitted |
| 7102 | return at::native::special_shifted_chebyshev_polynomial_u(x, n); |
| 7103 | } |
| 7104 | } // anonymous namespace |
| 7105 | namespace { |
| 7106 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_v(const at::Scalar & x, const at::Tensor & n) { |
| 7107 | // No device check |
| 7108 | // DeviceGuard omitted |
| 7109 | return at::native::special_shifted_chebyshev_polynomial_v(x, n); |
| 7110 | } |
| 7111 | } // anonymous namespace |
| 7112 | namespace { |
| 7113 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_v_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 7114 | // No device check |
| 7115 | // DeviceGuard omitted |
| 7116 | return at::native::special_shifted_chebyshev_polynomial_v_out(x, n, out); |
| 7117 | } |
| 7118 | } // anonymous namespace |
| 7119 | namespace { |
| 7120 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_v(const at::Tensor & x, const at::Scalar & n) { |
| 7121 | // No device check |
| 7122 | // DeviceGuard omitted |
| 7123 | return at::native::special_shifted_chebyshev_polynomial_v(x, n); |
| 7124 | } |
| 7125 | } // anonymous namespace |
| 7126 | namespace { |
| 7127 | at::Tensor wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_w(const at::Scalar & x, const at::Tensor & n) { |
| 7128 | // No device check |
| 7129 | // DeviceGuard omitted |
| 7130 | return at::native::special_shifted_chebyshev_polynomial_w(x, n); |
| 7131 | } |
| 7132 | } // anonymous namespace |
| 7133 | namespace { |
| 7134 | at::Tensor & wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_w_out(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 7135 | // No device check |
| 7136 | // DeviceGuard omitted |
| 7137 | return at::native::special_shifted_chebyshev_polynomial_w_out(x, n, out); |
| 7138 | } |
| 7139 | } // anonymous namespace |
| 7140 | namespace { |
| 7141 | at::Tensor wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_w(const at::Tensor & x, const at::Scalar & n) { |
| 7142 | // No device check |
| 7143 | // DeviceGuard omitted |
| 7144 | return at::native::special_shifted_chebyshev_polynomial_w(x, n); |
| 7145 | } |
| 7146 | } // anonymous namespace |
| 7147 | TORCH_LIBRARY_IMPL(aten, CompositeImplicitAutograd, m) { |
| 7148 | m.impl("_cast_Byte", |
| 7149 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Byte)); |
| 7150 | m.impl("_cast_Char", |
| 7151 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Char)); |
| 7152 | m.impl("_cast_Double", |
| 7153 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Double)); |
| 7154 | m.impl("_cast_Float", |
| 7155 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Float)); |
| 7156 | m.impl("_cast_Int", |
| 7157 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Int)); |
| 7158 | m.impl("_cast_Long", |
| 7159 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Long)); |
| 7160 | m.impl("_cast_Short", |
| 7161 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Short)); |
| 7162 | m.impl("_cast_Half", |
| 7163 | TORCH_FN(wrapper_CompositeImplicitAutograd___cast_Half)); |
| 7164 | m.impl("_backward", |
| 7165 | TORCH_FN(wrapper_CompositeImplicitAutograd___backward)); |
| 7166 | m.impl("set_data", |
| 7167 | TORCH_FN(wrapper_CompositeImplicitAutograd__set_data)); |
| 7168 | m.impl("data", |
| 7169 | TORCH_FN(wrapper_CompositeImplicitAutograd__data)); |
| 7170 | m.impl("is_leaf", |
| 7171 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_leaf)); |
| 7172 | m.impl("output_nr", |
| 7173 | TORCH_FN(wrapper_CompositeImplicitAutograd__output_nr)); |
| 7174 | m.impl("_version", |
| 7175 | TORCH_FN(wrapper_CompositeImplicitAutograd___version)); |
| 7176 | m.impl("requires_grad_", |
| 7177 | TORCH_FN(wrapper_CompositeImplicitAutograd__requires_grad_)); |
| 7178 | m.impl("retain_grad", |
| 7179 | TORCH_FN(wrapper_CompositeImplicitAutograd__retain_grad)); |
| 7180 | m.impl("retains_grad", |
| 7181 | TORCH_FN(wrapper_CompositeImplicitAutograd__retains_grad)); |
| 7182 | m.impl("_unpack_dual", |
| 7183 | TORCH_FN(wrapper_CompositeImplicitAutograd___unpack_dual)); |
| 7184 | m.impl("rename_", |
| 7185 | TORCH_FN(wrapper_CompositeImplicitAutograd__rename_)); |
| 7186 | m.impl("rename", |
| 7187 | TORCH_FN(wrapper_CompositeImplicitAutograd__rename)); |
| 7188 | m.impl("align_to", |
| 7189 | TORCH_FN(wrapper_CompositeImplicitAutograd__align_to)); |
| 7190 | m.impl("align_to.ellipsis_idx", |
| 7191 | TORCH_FN(wrapper_CompositeImplicitAutograd_ellipsis_idx_align_to)); |
| 7192 | m.impl("align_as", |
| 7193 | TORCH_FN(wrapper_CompositeImplicitAutograd__align_as)); |
| 7194 | m.impl("align_tensors", |
| 7195 | TORCH_FN(wrapper_CompositeImplicitAutograd__align_tensors)); |
| 7196 | m.impl("_assert_tensor_metadata", |
| 7197 | TORCH_FN(wrapper_CompositeImplicitAutograd___assert_tensor_metadata)); |
| 7198 | m.impl("refine_names", |
| 7199 | TORCH_FN(wrapper_CompositeImplicitAutograd__refine_names)); |
| 7200 | m.impl("_use_cudnn_rnn_flatten_weight", |
| 7201 | TORCH_FN(wrapper_CompositeImplicitAutograd___use_cudnn_rnn_flatten_weight)); |
| 7202 | m.impl("_debug_has_internal_overlap", |
| 7203 | TORCH_FN(wrapper_CompositeImplicitAutograd___debug_has_internal_overlap)); |
| 7204 | m.impl("_sobol_engine_draw", |
| 7205 | TORCH_FN(wrapper_CompositeImplicitAutograd___sobol_engine_draw)); |
| 7206 | m.impl("_sobol_engine_ff_", |
| 7207 | TORCH_FN(wrapper_CompositeImplicitAutograd___sobol_engine_ff_)); |
| 7208 | m.impl("_sobol_engine_scramble_", |
| 7209 | TORCH_FN(wrapper_CompositeImplicitAutograd___sobol_engine_scramble_)); |
| 7210 | m.impl("_sobol_engine_initialize_state_", |
| 7211 | TORCH_FN(wrapper_CompositeImplicitAutograd___sobol_engine_initialize_state_)); |
| 7212 | m.impl("_reshape_from_tensor", |
| 7213 | TORCH_FN(wrapper_CompositeImplicitAutograd___reshape_from_tensor)); |
| 7214 | m.impl("_shape_as_tensor", |
| 7215 | TORCH_FN(wrapper_CompositeImplicitAutograd___shape_as_tensor)); |
| 7216 | m.impl("dropout", |
| 7217 | TORCH_FN(wrapper_CompositeImplicitAutograd__dropout)); |
| 7218 | m.impl("dropout_", |
| 7219 | TORCH_FN(wrapper_CompositeImplicitAutograd__dropout_)); |
| 7220 | m.impl("feature_dropout", |
| 7221 | TORCH_FN(wrapper_CompositeImplicitAutograd__feature_dropout)); |
| 7222 | m.impl("feature_dropout_", |
| 7223 | TORCH_FN(wrapper_CompositeImplicitAutograd__feature_dropout_)); |
| 7224 | m.impl("alpha_dropout", |
| 7225 | TORCH_FN(wrapper_CompositeImplicitAutograd__alpha_dropout)); |
| 7226 | m.impl("alpha_dropout_", |
| 7227 | TORCH_FN(wrapper_CompositeImplicitAutograd__alpha_dropout_)); |
| 7228 | m.impl("feature_alpha_dropout", |
| 7229 | TORCH_FN(wrapper_CompositeImplicitAutograd__feature_alpha_dropout)); |
| 7230 | m.impl("feature_alpha_dropout_", |
| 7231 | TORCH_FN(wrapper_CompositeImplicitAutograd__feature_alpha_dropout_)); |
| 7232 | m.impl("absolute", |
| 7233 | TORCH_FN(wrapper_CompositeImplicitAutograd__absolute)); |
| 7234 | m.impl("absolute.out", |
| 7235 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_absolute_out)); |
| 7236 | m.impl("absolute_", |
| 7237 | TORCH_FN(wrapper_CompositeImplicitAutograd__absolute_)); |
| 7238 | m.impl("chalf", |
| 7239 | TORCH_FN(wrapper_CompositeImplicitAutograd__chalf)); |
| 7240 | m.impl("real", |
| 7241 | TORCH_FN(wrapper_CompositeImplicitAutograd__real)); |
| 7242 | m.impl("imag", |
| 7243 | TORCH_FN(wrapper_CompositeImplicitAutograd__imag)); |
| 7244 | m.impl("conj", |
| 7245 | TORCH_FN(wrapper_CompositeImplicitAutograd__conj)); |
| 7246 | m.impl("conj_physical", |
| 7247 | TORCH_FN(wrapper_CompositeImplicitAutograd__conj_physical)); |
| 7248 | m.impl("resolve_conj", |
| 7249 | TORCH_FN(wrapper_CompositeImplicitAutograd__resolve_conj)); |
| 7250 | m.impl("resolve_neg", |
| 7251 | TORCH_FN(wrapper_CompositeImplicitAutograd__resolve_neg)); |
| 7252 | m.impl("arccos", |
| 7253 | TORCH_FN(wrapper_CompositeImplicitAutograd__arccos)); |
| 7254 | m.impl("arccos.out", |
| 7255 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_arccos_out)); |
| 7256 | m.impl("arccos_", |
| 7257 | TORCH_FN(wrapper_CompositeImplicitAutograd__arccos_)); |
| 7258 | m.impl("avg_pool1d", |
| 7259 | TORCH_FN(wrapper_CompositeImplicitAutograd__avg_pool1d)); |
| 7260 | m.impl("adaptive_avg_pool1d", |
| 7261 | TORCH_FN(wrapper_CompositeImplicitAutograd__adaptive_avg_pool1d)); |
| 7262 | m.impl("adaptive_max_pool1d", |
| 7263 | TORCH_FN(wrapper_CompositeImplicitAutograd__adaptive_max_pool1d)); |
| 7264 | m.impl("affine_grid_generator_backward", |
| 7265 | TORCH_FN(wrapper_CompositeImplicitAutograd__affine_grid_generator_backward)); |
| 7266 | m.impl("_test_check_tensor", |
| 7267 | TORCH_FN(wrapper_CompositeImplicitAutograd___test_check_tensor)); |
| 7268 | m.impl("all.dimname", |
| 7269 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_all)); |
| 7270 | m.impl("all.dimname_out", |
| 7271 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_all_out)); |
| 7272 | m.impl("any.dimname", |
| 7273 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_any)); |
| 7274 | m.impl("any.dimname_out", |
| 7275 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_any_out)); |
| 7276 | m.impl("_dim_arange", |
| 7277 | TORCH_FN(wrapper_CompositeImplicitAutograd___dim_arange)); |
| 7278 | m.impl("arccosh", |
| 7279 | TORCH_FN(wrapper_CompositeImplicitAutograd__arccosh)); |
| 7280 | m.impl("arccosh.out", |
| 7281 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_arccosh_out)); |
| 7282 | m.impl("arccosh_", |
| 7283 | TORCH_FN(wrapper_CompositeImplicitAutograd__arccosh_)); |
| 7284 | m.impl("arcsinh", |
| 7285 | TORCH_FN(wrapper_CompositeImplicitAutograd__arcsinh)); |
| 7286 | m.impl("arcsinh.out", |
| 7287 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_arcsinh_out)); |
| 7288 | m.impl("arcsinh_", |
| 7289 | TORCH_FN(wrapper_CompositeImplicitAutograd__arcsinh_)); |
| 7290 | m.impl("arctanh", |
| 7291 | TORCH_FN(wrapper_CompositeImplicitAutograd__arctanh)); |
| 7292 | m.impl("arctanh.out", |
| 7293 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_arctanh_out)); |
| 7294 | m.impl("arctanh_", |
| 7295 | TORCH_FN(wrapper_CompositeImplicitAutograd__arctanh_)); |
| 7296 | m.impl("arcsin", |
| 7297 | TORCH_FN(wrapper_CompositeImplicitAutograd__arcsin)); |
| 7298 | m.impl("arcsin.out", |
| 7299 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_arcsin_out)); |
| 7300 | m.impl("arcsin_", |
| 7301 | TORCH_FN(wrapper_CompositeImplicitAutograd__arcsin_)); |
| 7302 | m.impl("arctan", |
| 7303 | TORCH_FN(wrapper_CompositeImplicitAutograd__arctan)); |
| 7304 | m.impl("arctan.out", |
| 7305 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_arctan_out)); |
| 7306 | m.impl("arctan_", |
| 7307 | TORCH_FN(wrapper_CompositeImplicitAutograd__arctan_)); |
| 7308 | m.impl("atleast_1d", |
| 7309 | TORCH_FN(wrapper_CompositeImplicitAutograd__atleast_1d)); |
| 7310 | m.impl("atleast_1d.Sequence", |
| 7311 | TORCH_FN(wrapper_CompositeImplicitAutograd_Sequence_atleast_1d)); |
| 7312 | m.impl("atleast_2d", |
| 7313 | TORCH_FN(wrapper_CompositeImplicitAutograd__atleast_2d)); |
| 7314 | m.impl("atleast_2d.Sequence", |
| 7315 | TORCH_FN(wrapper_CompositeImplicitAutograd_Sequence_atleast_2d)); |
| 7316 | m.impl("atleast_3d", |
| 7317 | TORCH_FN(wrapper_CompositeImplicitAutograd__atleast_3d)); |
| 7318 | m.impl("atleast_3d.Sequence", |
| 7319 | TORCH_FN(wrapper_CompositeImplicitAutograd_Sequence_atleast_3d)); |
| 7320 | m.impl("batch_norm", |
| 7321 | TORCH_FN(wrapper_CompositeImplicitAutograd__batch_norm)); |
| 7322 | m.impl("_batch_norm_impl_index", |
| 7323 | TORCH_FN(wrapper_CompositeImplicitAutograd___batch_norm_impl_index)); |
| 7324 | m.impl("_batch_norm_impl_index_backward", |
| 7325 | TORCH_FN(wrapper_CompositeImplicitAutograd___batch_norm_impl_index_backward)); |
| 7326 | m.impl("bilinear", |
| 7327 | TORCH_FN(wrapper_CompositeImplicitAutograd__bilinear)); |
| 7328 | m.impl("broadcast_tensors", |
| 7329 | TORCH_FN(wrapper_CompositeImplicitAutograd__broadcast_tensors)); |
| 7330 | m.impl("broadcast_to", |
| 7331 | TORCH_FN(wrapper_CompositeImplicitAutograd__broadcast_to)); |
| 7332 | m.impl("cat.names", |
| 7333 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_cat)); |
| 7334 | m.impl("cat.names_out", |
| 7335 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_cat_out)); |
| 7336 | m.impl("concat", |
| 7337 | TORCH_FN(wrapper_CompositeImplicitAutograd__concat)); |
| 7338 | m.impl("concat.out", |
| 7339 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_concat_out)); |
| 7340 | m.impl("concat.names", |
| 7341 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_concat)); |
| 7342 | m.impl("concat.names_out", |
| 7343 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_concat_out)); |
| 7344 | m.impl("concatenate", |
| 7345 | TORCH_FN(wrapper_CompositeImplicitAutograd__concatenate)); |
| 7346 | m.impl("concatenate.out", |
| 7347 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_concatenate_out)); |
| 7348 | m.impl("concatenate.names", |
| 7349 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_concatenate)); |
| 7350 | m.impl("concatenate.names_out", |
| 7351 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_concatenate_out)); |
| 7352 | m.impl("chain_matmul", |
| 7353 | TORCH_FN(wrapper_CompositeImplicitAutograd__chain_matmul)); |
| 7354 | m.impl("chain_matmul.out", |
| 7355 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_chain_matmul_out)); |
| 7356 | m.impl("unsafe_chunk", |
| 7357 | TORCH_FN(wrapper_CompositeImplicitAutograd__unsafe_chunk)); |
| 7358 | m.impl("chunk", |
| 7359 | TORCH_FN(wrapper_CompositeImplicitAutograd__chunk)); |
| 7360 | m.impl("tensor_split.sections", |
| 7361 | TORCH_FN(wrapper_CompositeImplicitAutograd_sections_tensor_split)); |
| 7362 | m.impl("tensor_split.indices", |
| 7363 | TORCH_FN(wrapper_CompositeImplicitAutograd_indices_tensor_split)); |
| 7364 | m.impl("tensor_split.tensor_indices_or_sections", |
| 7365 | TORCH_FN(wrapper_CompositeImplicitAutograd_tensor_indices_or_sections_tensor_split)); |
| 7366 | m.impl("clip", |
| 7367 | TORCH_FN(wrapper_CompositeImplicitAutograd__clip)); |
| 7368 | m.impl("clip.out", |
| 7369 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_clip_out)); |
| 7370 | m.impl("clip_", |
| 7371 | TORCH_FN(wrapper_CompositeImplicitAutograd__clip_)); |
| 7372 | m.impl("clip.Tensor", |
| 7373 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_clip)); |
| 7374 | m.impl("clip.Tensor_out", |
| 7375 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_out_clip_out)); |
| 7376 | m.impl("clip_.Tensor", |
| 7377 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_clip_)); |
| 7378 | m.impl("cudnn_is_acceptable", |
| 7379 | TORCH_FN(wrapper_CompositeImplicitAutograd__cudnn_is_acceptable)); |
| 7380 | m.impl("contiguous", |
| 7381 | TORCH_FN(wrapper_CompositeImplicitAutograd__contiguous)); |
| 7382 | m.impl("_convolution.deprecated", |
| 7383 | TORCH_FN(wrapper_CompositeImplicitAutograd_deprecated__convolution)); |
| 7384 | m.impl("_convolution_mode", |
| 7385 | TORCH_FN(wrapper_CompositeImplicitAutograd___convolution_mode)); |
| 7386 | m.impl("_convolution_double_backward", |
| 7387 | TORCH_FN(wrapper_CompositeImplicitAutograd___convolution_double_backward)); |
| 7388 | m.impl("conv1d", |
| 7389 | TORCH_FN(wrapper_CompositeImplicitAutograd__conv1d)); |
| 7390 | m.impl("conv2d", |
| 7391 | TORCH_FN(wrapper_CompositeImplicitAutograd__conv2d)); |
| 7392 | m.impl("conv3d", |
| 7393 | TORCH_FN(wrapper_CompositeImplicitAutograd__conv3d)); |
| 7394 | m.impl("conv1d.padding", |
| 7395 | TORCH_FN(wrapper_CompositeImplicitAutograd_padding_conv1d)); |
| 7396 | m.impl("conv2d.padding", |
| 7397 | TORCH_FN(wrapper_CompositeImplicitAutograd_padding_conv2d)); |
| 7398 | m.impl("conv3d.padding", |
| 7399 | TORCH_FN(wrapper_CompositeImplicitAutograd_padding_conv3d)); |
| 7400 | m.impl("conv_tbc_backward", |
| 7401 | TORCH_FN(wrapper_CompositeImplicitAutograd__conv_tbc_backward)); |
| 7402 | m.impl("conv_transpose1d", |
| 7403 | TORCH_FN(wrapper_CompositeImplicitAutograd__conv_transpose1d)); |
| 7404 | m.impl("conv_transpose2d.input", |
| 7405 | TORCH_FN(wrapper_CompositeImplicitAutograd_input_conv_transpose2d)); |
| 7406 | m.impl("conv_transpose3d.input", |
| 7407 | TORCH_FN(wrapper_CompositeImplicitAutograd_input_conv_transpose3d)); |
| 7408 | m.impl("cosine_embedding_loss", |
| 7409 | TORCH_FN(wrapper_CompositeImplicitAutograd__cosine_embedding_loss)); |
| 7410 | m.impl("cov", |
| 7411 | TORCH_FN(wrapper_CompositeImplicitAutograd__cov)); |
| 7412 | m.impl("corrcoef", |
| 7413 | TORCH_FN(wrapper_CompositeImplicitAutograd__corrcoef)); |
| 7414 | m.impl("cummax.dimname", |
| 7415 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_cummax)); |
| 7416 | m.impl("cummax.dimname_out", |
| 7417 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_cummax_out)); |
| 7418 | m.impl("cummin.dimname", |
| 7419 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_cummin)); |
| 7420 | m.impl("cummin.dimname_out", |
| 7421 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_cummin_out)); |
| 7422 | m.impl("cummaxmin_backward", |
| 7423 | TORCH_FN(wrapper_CompositeImplicitAutograd__cummaxmin_backward)); |
| 7424 | m.impl("cumprod.dimname", |
| 7425 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_cumprod)); |
| 7426 | m.impl("cumprod.dimname_out", |
| 7427 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_cumprod_out)); |
| 7428 | m.impl("cumprod_.dimname", |
| 7429 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_cumprod_)); |
| 7430 | m.impl("cumprod_backward", |
| 7431 | TORCH_FN(wrapper_CompositeImplicitAutograd__cumprod_backward)); |
| 7432 | m.impl("cumsum.dimname", |
| 7433 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_cumsum)); |
| 7434 | m.impl("cumsum.dimname_out", |
| 7435 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_cumsum_out)); |
| 7436 | m.impl("cumsum_.dimname", |
| 7437 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_cumsum_)); |
| 7438 | m.impl("cumulative_trapezoid.x", |
| 7439 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_cumulative_trapezoid)); |
| 7440 | m.impl("cumulative_trapezoid.dx", |
| 7441 | TORCH_FN(wrapper_CompositeImplicitAutograd_dx_cumulative_trapezoid)); |
| 7442 | m.impl("ctc_loss.IntList", |
| 7443 | TORCH_FN(wrapper_CompositeImplicitAutograd_IntList_ctc_loss)); |
| 7444 | m.impl("ctc_loss.Tensor", |
| 7445 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_ctc_loss)); |
| 7446 | m.impl("diagflat", |
| 7447 | TORCH_FN(wrapper_CompositeImplicitAutograd__diagflat)); |
| 7448 | m.impl("linalg_diagonal", |
| 7449 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_diagonal)); |
| 7450 | m.impl("diagonal.Dimname", |
| 7451 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_diagonal)); |
| 7452 | m.impl("fill_diagonal_", |
| 7453 | TORCH_FN(wrapper_CompositeImplicitAutograd__fill_diagonal_)); |
| 7454 | m.impl("diff", |
| 7455 | TORCH_FN(wrapper_CompositeImplicitAutograd__diff)); |
| 7456 | m.impl("diff.out", |
| 7457 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_diff_out)); |
| 7458 | m.impl("gradient.scalarint", |
| 7459 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalarint_gradient)); |
| 7460 | m.impl("gradient.scalararray", |
| 7461 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalararray_gradient)); |
| 7462 | m.impl("gradient.array", |
| 7463 | TORCH_FN(wrapper_CompositeImplicitAutograd_array_gradient)); |
| 7464 | m.impl("gradient.scalarrayint", |
| 7465 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalarrayint_gradient)); |
| 7466 | m.impl("gradient.scalarrayarray", |
| 7467 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalarrayarray_gradient)); |
| 7468 | m.impl("gradient.tensorarrayint", |
| 7469 | TORCH_FN(wrapper_CompositeImplicitAutograd_tensorarrayint_gradient)); |
| 7470 | m.impl("gradient.tensorarray", |
| 7471 | TORCH_FN(wrapper_CompositeImplicitAutograd_tensorarray_gradient)); |
| 7472 | m.impl("divide.Tensor", |
| 7473 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_divide)); |
| 7474 | m.impl("divide.out", |
| 7475 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_divide_out)); |
| 7476 | m.impl("divide_.Tensor", |
| 7477 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_divide_)); |
| 7478 | m.impl("divide.Scalar", |
| 7479 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_divide)); |
| 7480 | m.impl("divide_.Scalar", |
| 7481 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_divide_)); |
| 7482 | m.impl("divide.Tensor_mode", |
| 7483 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_mode_divide)); |
| 7484 | m.impl("divide.out_mode", |
| 7485 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_mode_divide_out)); |
| 7486 | m.impl("divide_.Tensor_mode", |
| 7487 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_mode_divide_)); |
| 7488 | m.impl("divide.Scalar_mode", |
| 7489 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_mode_divide)); |
| 7490 | m.impl("divide_.Scalar_mode", |
| 7491 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_mode_divide_)); |
| 7492 | m.impl("true_divide.Tensor", |
| 7493 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_true_divide)); |
| 7494 | m.impl("true_divide.out", |
| 7495 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_true_divide_out)); |
| 7496 | m.impl("true_divide_.Tensor", |
| 7497 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_true_divide_)); |
| 7498 | m.impl("true_divide.Scalar", |
| 7499 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_true_divide)); |
| 7500 | m.impl("true_divide_.Scalar", |
| 7501 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_true_divide_)); |
| 7502 | m.impl("einsum", |
| 7503 | TORCH_FN(wrapper_CompositeImplicitAutograd__einsum)); |
| 7504 | m.impl("embedding_backward", |
| 7505 | TORCH_FN(wrapper_CompositeImplicitAutograd__embedding_backward)); |
| 7506 | m.impl("embedding_sparse_backward", |
| 7507 | TORCH_FN(wrapper_CompositeImplicitAutograd__embedding_sparse_backward)); |
| 7508 | m.impl("_rowwise_prune", |
| 7509 | TORCH_FN(wrapper_CompositeImplicitAutograd___rowwise_prune)); |
| 7510 | m.impl("row_stack", |
| 7511 | TORCH_FN(wrapper_CompositeImplicitAutograd__row_stack)); |
| 7512 | m.impl("row_stack.out", |
| 7513 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_row_stack_out)); |
| 7514 | m.impl("embedding_bag", |
| 7515 | TORCH_FN(wrapper_CompositeImplicitAutograd__embedding_bag)); |
| 7516 | m.impl("embedding_bag.padding_idx", |
| 7517 | TORCH_FN(wrapper_CompositeImplicitAutograd_padding_idx_embedding_bag)); |
| 7518 | m.impl("_embedding_bag_backward", |
| 7519 | TORCH_FN(wrapper_CompositeImplicitAutograd___embedding_bag_backward)); |
| 7520 | m.impl("_embedding_bag_sparse_backward", |
| 7521 | TORCH_FN(wrapper_CompositeImplicitAutograd___embedding_bag_sparse_backward)); |
| 7522 | m.impl("empty.out", |
| 7523 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_empty_out)); |
| 7524 | m.impl("expand_as", |
| 7525 | TORCH_FN(wrapper_CompositeImplicitAutograd__expand_as)); |
| 7526 | m.impl("flatten.using_ints", |
| 7527 | TORCH_FN(wrapper_CompositeImplicitAutograd_using_ints_flatten)); |
| 7528 | m.impl("flatten.named_out_dim", |
| 7529 | TORCH_FN(wrapper_CompositeImplicitAutograd_named_out_dim_flatten)); |
| 7530 | m.impl("flatten.using_names", |
| 7531 | TORCH_FN(wrapper_CompositeImplicitAutograd_using_names_flatten)); |
| 7532 | m.impl("flatten.DimnameList", |
| 7533 | TORCH_FN(wrapper_CompositeImplicitAutograd_DimnameList_flatten)); |
| 7534 | m.impl("unflatten.int", |
| 7535 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_unflatten)); |
| 7536 | m.impl("unflatten.Dimname", |
| 7537 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_unflatten)); |
| 7538 | m.impl("floor_divide.Scalar", |
| 7539 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_floor_divide)); |
| 7540 | m.impl("floor_divide_.Scalar", |
| 7541 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_floor_divide_)); |
| 7542 | m.impl("grid_sampler", |
| 7543 | TORCH_FN(wrapper_CompositeImplicitAutograd__grid_sampler)); |
| 7544 | m.impl("_grid_sampler_2d_cpu_fallback_backward", |
| 7545 | TORCH_FN(wrapper_CompositeImplicitAutograd___grid_sampler_2d_cpu_fallback_backward)); |
| 7546 | m.impl("hinge_embedding_loss", |
| 7547 | TORCH_FN(wrapper_CompositeImplicitAutograd__hinge_embedding_loss)); |
| 7548 | m.impl("group_norm", |
| 7549 | TORCH_FN(wrapper_CompositeImplicitAutograd__group_norm)); |
| 7550 | m.impl("_cufft_get_plan_cache_size", |
| 7551 | TORCH_FN(wrapper_CompositeImplicitAutograd___cufft_get_plan_cache_size)); |
| 7552 | m.impl("_cufft_get_plan_cache_max_size", |
| 7553 | TORCH_FN(wrapper_CompositeImplicitAutograd___cufft_get_plan_cache_max_size)); |
| 7554 | m.impl("_cufft_set_plan_cache_max_size", |
| 7555 | TORCH_FN(wrapper_CompositeImplicitAutograd___cufft_set_plan_cache_max_size)); |
| 7556 | m.impl("_cufft_clear_plan_cache", |
| 7557 | TORCH_FN(wrapper_CompositeImplicitAutograd___cufft_clear_plan_cache)); |
| 7558 | m.impl("index_copy_.dimname", |
| 7559 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_index_copy_)); |
| 7560 | m.impl("index_copy.dimname", |
| 7561 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_index_copy)); |
| 7562 | m.impl("instance_norm", |
| 7563 | TORCH_FN(wrapper_CompositeImplicitAutograd__instance_norm)); |
| 7564 | m.impl("isclose", |
| 7565 | TORCH_FN(wrapper_CompositeImplicitAutograd__isclose)); |
| 7566 | m.impl("is_distributed", |
| 7567 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_distributed)); |
| 7568 | m.impl("is_floating_point", |
| 7569 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_floating_point)); |
| 7570 | m.impl("is_complex", |
| 7571 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_complex)); |
| 7572 | m.impl("is_conj", |
| 7573 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_conj)); |
| 7574 | m.impl("_is_zerotensor", |
| 7575 | TORCH_FN(wrapper_CompositeImplicitAutograd___is_zerotensor)); |
| 7576 | m.impl("is_neg", |
| 7577 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_neg)); |
| 7578 | m.impl("isreal", |
| 7579 | TORCH_FN(wrapper_CompositeImplicitAutograd__isreal)); |
| 7580 | m.impl("is_nonzero", |
| 7581 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_nonzero)); |
| 7582 | m.impl("is_signed", |
| 7583 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_signed)); |
| 7584 | m.impl("is_inference", |
| 7585 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_inference)); |
| 7586 | m.impl("kl_div", |
| 7587 | TORCH_FN(wrapper_CompositeImplicitAutograd__kl_div)); |
| 7588 | m.impl("kron", |
| 7589 | TORCH_FN(wrapper_CompositeImplicitAutograd__kron)); |
| 7590 | m.impl("kron.out", |
| 7591 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_kron_out)); |
| 7592 | m.impl("kthvalue.dimname", |
| 7593 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_kthvalue)); |
| 7594 | m.impl("kthvalue.dimname_out", |
| 7595 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_kthvalue_out)); |
| 7596 | m.impl("layer_norm", |
| 7597 | TORCH_FN(wrapper_CompositeImplicitAutograd__layer_norm)); |
| 7598 | m.impl("linear", |
| 7599 | TORCH_FN(wrapper_CompositeImplicitAutograd__linear)); |
| 7600 | m.impl("fbgemm_linear_int8_weight_fp32_activation", |
| 7601 | TORCH_FN(wrapper_CompositeImplicitAutograd__fbgemm_linear_int8_weight_fp32_activation)); |
| 7602 | m.impl("fbgemm_linear_int8_weight", |
| 7603 | TORCH_FN(wrapper_CompositeImplicitAutograd__fbgemm_linear_int8_weight)); |
| 7604 | m.impl("fbgemm_linear_quantize_weight", |
| 7605 | TORCH_FN(wrapper_CompositeImplicitAutograd__fbgemm_linear_quantize_weight)); |
| 7606 | m.impl("fbgemm_pack_gemm_matrix_fp16", |
| 7607 | TORCH_FN(wrapper_CompositeImplicitAutograd__fbgemm_pack_gemm_matrix_fp16)); |
| 7608 | m.impl("fbgemm_linear_fp16_weight_fp32_activation", |
| 7609 | TORCH_FN(wrapper_CompositeImplicitAutograd__fbgemm_linear_fp16_weight_fp32_activation)); |
| 7610 | m.impl("fbgemm_linear_fp16_weight", |
| 7611 | TORCH_FN(wrapper_CompositeImplicitAutograd__fbgemm_linear_fp16_weight)); |
| 7612 | m.impl("fbgemm_pack_quantized_matrix", |
| 7613 | TORCH_FN(wrapper_CompositeImplicitAutograd__fbgemm_pack_quantized_matrix)); |
| 7614 | m.impl("fbgemm_pack_quantized_matrix.KN", |
| 7615 | TORCH_FN(wrapper_CompositeImplicitAutograd_KN_fbgemm_pack_quantized_matrix)); |
| 7616 | m.impl("ldexp.Tensor", |
| 7617 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_ldexp)); |
| 7618 | m.impl("ldexp.out", |
| 7619 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_ldexp_out)); |
| 7620 | m.impl("ldexp_", |
| 7621 | TORCH_FN(wrapper_CompositeImplicitAutograd__ldexp_)); |
| 7622 | m.impl("log_softmax.int", |
| 7623 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_log_softmax)); |
| 7624 | m.impl("log_softmax.Dimname", |
| 7625 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_log_softmax)); |
| 7626 | m.impl("logcumsumexp.dimname", |
| 7627 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_logcumsumexp)); |
| 7628 | m.impl("logcumsumexp.dimname_out", |
| 7629 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_logcumsumexp_out)); |
| 7630 | m.impl("logsumexp.names", |
| 7631 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_logsumexp)); |
| 7632 | m.impl("logsumexp.names_out", |
| 7633 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_logsumexp_out)); |
| 7634 | m.impl("margin_ranking_loss", |
| 7635 | TORCH_FN(wrapper_CompositeImplicitAutograd__margin_ranking_loss)); |
| 7636 | m.impl("matmul", |
| 7637 | TORCH_FN(wrapper_CompositeImplicitAutograd__matmul)); |
| 7638 | m.impl("matmul.out", |
| 7639 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_matmul_out)); |
| 7640 | m.impl("matrix_power", |
| 7641 | TORCH_FN(wrapper_CompositeImplicitAutograd__matrix_power)); |
| 7642 | m.impl("matrix_power.out", |
| 7643 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_matrix_power_out)); |
| 7644 | m.impl("matrix_exp", |
| 7645 | TORCH_FN(wrapper_CompositeImplicitAutograd__matrix_exp)); |
| 7646 | m.impl("matrix_exp_backward", |
| 7647 | TORCH_FN(wrapper_CompositeImplicitAutograd__matrix_exp_backward)); |
| 7648 | m.impl("max.names_dim", |
| 7649 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_max)); |
| 7650 | m.impl("max.names_dim_max", |
| 7651 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_max_max_out)); |
| 7652 | m.impl("value_selecting_reduction_backward", |
| 7653 | TORCH_FN(wrapper_CompositeImplicitAutograd__value_selecting_reduction_backward)); |
| 7654 | m.impl("max_pool1d_with_indices", |
| 7655 | TORCH_FN(wrapper_CompositeImplicitAutograd__max_pool1d_with_indices)); |
| 7656 | m.impl("max_pool1d", |
| 7657 | TORCH_FN(wrapper_CompositeImplicitAutograd__max_pool1d)); |
| 7658 | m.impl("max_pool2d", |
| 7659 | TORCH_FN(wrapper_CompositeImplicitAutograd__max_pool2d)); |
| 7660 | m.impl("max_pool3d", |
| 7661 | TORCH_FN(wrapper_CompositeImplicitAutograd__max_pool3d)); |
| 7662 | m.impl("mean.names_dim", |
| 7663 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_mean)); |
| 7664 | m.impl("mean.names_out", |
| 7665 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_mean_out)); |
| 7666 | m.impl("nanmean", |
| 7667 | TORCH_FN(wrapper_CompositeImplicitAutograd__nanmean)); |
| 7668 | m.impl("nanmean.out", |
| 7669 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_nanmean_out)); |
| 7670 | m.impl("median.names_dim", |
| 7671 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_median)); |
| 7672 | m.impl("median.names_dim_values", |
| 7673 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_values_median_out)); |
| 7674 | m.impl("nanmedian.names_dim", |
| 7675 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_nanmedian)); |
| 7676 | m.impl("nanmedian.names_dim_values", |
| 7677 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_values_nanmedian_out)); |
| 7678 | m.impl("min.names_dim", |
| 7679 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_min)); |
| 7680 | m.impl("min.names_dim_min", |
| 7681 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_min_min_out)); |
| 7682 | m.impl("_sparse_mm", |
| 7683 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_mm)); |
| 7684 | m.impl("_sparse_mm.reduce", |
| 7685 | TORCH_FN(wrapper_CompositeImplicitAutograd_reduce__sparse_mm)); |
| 7686 | m.impl("mode.dimname", |
| 7687 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_mode)); |
| 7688 | m.impl("mode.dimname_out", |
| 7689 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_mode_out)); |
| 7690 | m.impl("multiply.Tensor", |
| 7691 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_multiply)); |
| 7692 | m.impl("multiply.out", |
| 7693 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_multiply_out)); |
| 7694 | m.impl("multiply_.Tensor", |
| 7695 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_multiply_)); |
| 7696 | m.impl("multiply.Scalar", |
| 7697 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_multiply)); |
| 7698 | m.impl("multiply_.Scalar", |
| 7699 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_multiply_)); |
| 7700 | m.impl("narrow", |
| 7701 | TORCH_FN(wrapper_CompositeImplicitAutograd__narrow)); |
| 7702 | m.impl("narrow.Tensor", |
| 7703 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_narrow)); |
| 7704 | m.impl("is_vulkan_available", |
| 7705 | TORCH_FN(wrapper_CompositeImplicitAutograd__is_vulkan_available)); |
| 7706 | m.impl("_nnpack_available", |
| 7707 | TORCH_FN(wrapper_CompositeImplicitAutograd___nnpack_available)); |
| 7708 | m.impl("pairwise_distance", |
| 7709 | TORCH_FN(wrapper_CompositeImplicitAutograd__pairwise_distance)); |
| 7710 | m.impl("cdist", |
| 7711 | TORCH_FN(wrapper_CompositeImplicitAutograd__cdist)); |
| 7712 | m.impl("pdist", |
| 7713 | TORCH_FN(wrapper_CompositeImplicitAutograd__pdist)); |
| 7714 | m.impl("cosine_similarity", |
| 7715 | TORCH_FN(wrapper_CompositeImplicitAutograd__cosine_similarity)); |
| 7716 | m.impl("movedim.intlist", |
| 7717 | TORCH_FN(wrapper_CompositeImplicitAutograd_intlist_movedim)); |
| 7718 | m.impl("movedim.int", |
| 7719 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_movedim)); |
| 7720 | m.impl("moveaxis.intlist", |
| 7721 | TORCH_FN(wrapper_CompositeImplicitAutograd_intlist_moveaxis)); |
| 7722 | m.impl("moveaxis.int", |
| 7723 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_moveaxis)); |
| 7724 | m.impl("numpy_T", |
| 7725 | TORCH_FN(wrapper_CompositeImplicitAutograd__numpy_T)); |
| 7726 | m.impl("matrix_H", |
| 7727 | TORCH_FN(wrapper_CompositeImplicitAutograd__matrix_H)); |
| 7728 | m.impl("mT", |
| 7729 | TORCH_FN(wrapper_CompositeImplicitAutograd__mT)); |
| 7730 | m.impl("mH", |
| 7731 | TORCH_FN(wrapper_CompositeImplicitAutograd__mH)); |
| 7732 | m.impl("adjoint", |
| 7733 | TORCH_FN(wrapper_CompositeImplicitAutograd__adjoint)); |
| 7734 | m.impl("native_channel_shuffle", |
| 7735 | TORCH_FN(wrapper_CompositeImplicitAutograd__native_channel_shuffle)); |
| 7736 | m.impl("pin_memory", |
| 7737 | TORCH_FN(wrapper_CompositeImplicitAutograd__pin_memory)); |
| 7738 | m.impl("pinverse", |
| 7739 | TORCH_FN(wrapper_CompositeImplicitAutograd__pinverse)); |
| 7740 | m.impl("poisson_nll_loss", |
| 7741 | TORCH_FN(wrapper_CompositeImplicitAutograd__poisson_nll_loss)); |
| 7742 | m.impl("rand.generator_out", |
| 7743 | TORCH_FN(wrapper_CompositeImplicitAutograd_generator_out_rand_out)); |
| 7744 | m.impl("randn.out", |
| 7745 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_randn_out)); |
| 7746 | m.impl("randn.generator_out", |
| 7747 | TORCH_FN(wrapper_CompositeImplicitAutograd_generator_out_randn_out)); |
| 7748 | m.impl("ravel", |
| 7749 | TORCH_FN(wrapper_CompositeImplicitAutograd__ravel)); |
| 7750 | m.impl("negative", |
| 7751 | TORCH_FN(wrapper_CompositeImplicitAutograd__negative)); |
| 7752 | m.impl("negative.out", |
| 7753 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_negative_out)); |
| 7754 | m.impl("negative_", |
| 7755 | TORCH_FN(wrapper_CompositeImplicitAutograd__negative_)); |
| 7756 | m.impl("repeat_interleave.self_Tensor", |
| 7757 | TORCH_FN(wrapper_CompositeImplicitAutograd_self_Tensor_repeat_interleave)); |
| 7758 | m.impl("repeat_interleave.self_int", |
| 7759 | TORCH_FN(wrapper_CompositeImplicitAutograd_self_int_repeat_interleave)); |
| 7760 | m.impl("reshape", |
| 7761 | TORCH_FN(wrapper_CompositeImplicitAutograd__reshape)); |
| 7762 | m.impl("reshape_as", |
| 7763 | TORCH_FN(wrapper_CompositeImplicitAutograd__reshape_as)); |
| 7764 | m.impl("rrelu", |
| 7765 | TORCH_FN(wrapper_CompositeImplicitAutograd__rrelu)); |
| 7766 | m.impl("rrelu_", |
| 7767 | TORCH_FN(wrapper_CompositeImplicitAutograd__rrelu_)); |
| 7768 | m.impl("relu6", |
| 7769 | TORCH_FN(wrapper_CompositeImplicitAutograd__relu6)); |
| 7770 | m.impl("relu6_", |
| 7771 | TORCH_FN(wrapper_CompositeImplicitAutograd__relu6_)); |
| 7772 | m.impl("prelu", |
| 7773 | TORCH_FN(wrapper_CompositeImplicitAutograd__prelu)); |
| 7774 | m.impl("infinitely_differentiable_gelu_backward", |
| 7775 | TORCH_FN(wrapper_CompositeImplicitAutograd__infinitely_differentiable_gelu_backward)); |
| 7776 | m.impl("select.Dimname", |
| 7777 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_select)); |
| 7778 | m.impl("selu", |
| 7779 | TORCH_FN(wrapper_CompositeImplicitAutograd__selu)); |
| 7780 | m.impl("selu_", |
| 7781 | TORCH_FN(wrapper_CompositeImplicitAutograd__selu_)); |
| 7782 | m.impl("silu_backward", |
| 7783 | TORCH_FN(wrapper_CompositeImplicitAutograd__silu_backward)); |
| 7784 | m.impl("mish_backward", |
| 7785 | TORCH_FN(wrapper_CompositeImplicitAutograd__mish_backward)); |
| 7786 | m.impl("size.int", |
| 7787 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_size)); |
| 7788 | m.impl("size.Dimname", |
| 7789 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_size)); |
| 7790 | m.impl("smm", |
| 7791 | TORCH_FN(wrapper_CompositeImplicitAutograd__smm)); |
| 7792 | m.impl("softmax.int", |
| 7793 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_softmax)); |
| 7794 | m.impl("softmax.Dimname", |
| 7795 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_softmax)); |
| 7796 | m.impl("split.sizes", |
| 7797 | TORCH_FN(wrapper_CompositeImplicitAutograd_sizes_split)); |
| 7798 | m.impl("hsplit.int", |
| 7799 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_hsplit)); |
| 7800 | m.impl("hsplit.array", |
| 7801 | TORCH_FN(wrapper_CompositeImplicitAutograd_array_hsplit)); |
| 7802 | m.impl("vsplit.int", |
| 7803 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_vsplit)); |
| 7804 | m.impl("vsplit.array", |
| 7805 | TORCH_FN(wrapper_CompositeImplicitAutograd_array_vsplit)); |
| 7806 | m.impl("dsplit.int", |
| 7807 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_dsplit)); |
| 7808 | m.impl("dsplit.array", |
| 7809 | TORCH_FN(wrapper_CompositeImplicitAutograd_array_dsplit)); |
| 7810 | m.impl("squeeze.dimname", |
| 7811 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_squeeze)); |
| 7812 | m.impl("squeeze_.dimname", |
| 7813 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_squeeze_)); |
| 7814 | m.impl("sspaddmm", |
| 7815 | TORCH_FN(wrapper_CompositeImplicitAutograd__sspaddmm)); |
| 7816 | m.impl("hstack", |
| 7817 | TORCH_FN(wrapper_CompositeImplicitAutograd__hstack)); |
| 7818 | m.impl("hstack.out", |
| 7819 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_hstack_out)); |
| 7820 | m.impl("vstack", |
| 7821 | TORCH_FN(wrapper_CompositeImplicitAutograd__vstack)); |
| 7822 | m.impl("vstack.out", |
| 7823 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_vstack_out)); |
| 7824 | m.impl("dstack", |
| 7825 | TORCH_FN(wrapper_CompositeImplicitAutograd__dstack)); |
| 7826 | m.impl("dstack.out", |
| 7827 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_dstack_out)); |
| 7828 | m.impl("stft", |
| 7829 | TORCH_FN(wrapper_CompositeImplicitAutograd__stft)); |
| 7830 | m.impl("stft.center", |
| 7831 | TORCH_FN(wrapper_CompositeImplicitAutograd_center_stft)); |
| 7832 | m.impl("istft", |
| 7833 | TORCH_FN(wrapper_CompositeImplicitAutograd__istft)); |
| 7834 | m.impl("stride.int", |
| 7835 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_stride)); |
| 7836 | m.impl("stride.Dimname", |
| 7837 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_stride)); |
| 7838 | m.impl("sum.dim_DimnameList", |
| 7839 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_DimnameList_sum)); |
| 7840 | m.impl("sum.DimnameList_out", |
| 7841 | TORCH_FN(wrapper_CompositeImplicitAutograd_DimnameList_out_sum_out)); |
| 7842 | m.impl("sum_to_size", |
| 7843 | TORCH_FN(wrapper_CompositeImplicitAutograd__sum_to_size)); |
| 7844 | m.impl("square", |
| 7845 | TORCH_FN(wrapper_CompositeImplicitAutograd__square)); |
| 7846 | m.impl("square.out", |
| 7847 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_square_out)); |
| 7848 | m.impl("square_", |
| 7849 | TORCH_FN(wrapper_CompositeImplicitAutograd__square_)); |
| 7850 | m.impl("std", |
| 7851 | TORCH_FN(wrapper_CompositeImplicitAutograd__std)); |
| 7852 | m.impl("std.dim", |
| 7853 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_std)); |
| 7854 | m.impl("std.out", |
| 7855 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_std_out)); |
| 7856 | m.impl("std_mean", |
| 7857 | TORCH_FN(wrapper_CompositeImplicitAutograd__std_mean)); |
| 7858 | m.impl("std_mean.dim", |
| 7859 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_std_mean)); |
| 7860 | m.impl("std_mean.names_dim", |
| 7861 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_std_mean)); |
| 7862 | m.impl("std_mean.correction_names", |
| 7863 | TORCH_FN(wrapper_CompositeImplicitAutograd_correction_names_std_mean)); |
| 7864 | m.impl("std.names_dim", |
| 7865 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_std)); |
| 7866 | m.impl("std.names_out", |
| 7867 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_std_out)); |
| 7868 | m.impl("std.correction_names", |
| 7869 | TORCH_FN(wrapper_CompositeImplicitAutograd_correction_names_std)); |
| 7870 | m.impl("std.correction_names_out", |
| 7871 | TORCH_FN(wrapper_CompositeImplicitAutograd_correction_names_out_std_out)); |
| 7872 | m.impl("prod.dim_Dimname", |
| 7873 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_Dimname_prod)); |
| 7874 | m.impl("prod.Dimname_out", |
| 7875 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_out_prod_out)); |
| 7876 | m.impl("tensordot", |
| 7877 | TORCH_FN(wrapper_CompositeImplicitAutograd__tensordot)); |
| 7878 | m.impl("tile", |
| 7879 | TORCH_FN(wrapper_CompositeImplicitAutograd__tile)); |
| 7880 | m.impl("transpose.Dimname", |
| 7881 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_transpose)); |
| 7882 | m.impl("one_hot", |
| 7883 | TORCH_FN(wrapper_CompositeImplicitAutograd__one_hot)); |
| 7884 | m.impl("fliplr", |
| 7885 | TORCH_FN(wrapper_CompositeImplicitAutograd__fliplr)); |
| 7886 | m.impl("flipud", |
| 7887 | TORCH_FN(wrapper_CompositeImplicitAutograd__flipud)); |
| 7888 | m.impl("trapezoid.x", |
| 7889 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_trapezoid)); |
| 7890 | m.impl("trapezoid.dx", |
| 7891 | TORCH_FN(wrapper_CompositeImplicitAutograd_dx_trapezoid)); |
| 7892 | m.impl("trapz.x", |
| 7893 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_trapz)); |
| 7894 | m.impl("trapz.dx", |
| 7895 | TORCH_FN(wrapper_CompositeImplicitAutograd_dx_trapz)); |
| 7896 | m.impl("triplet_margin_loss", |
| 7897 | TORCH_FN(wrapper_CompositeImplicitAutograd__triplet_margin_loss)); |
| 7898 | m.impl("fix", |
| 7899 | TORCH_FN(wrapper_CompositeImplicitAutograd__fix)); |
| 7900 | m.impl("fix.out", |
| 7901 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fix_out)); |
| 7902 | m.impl("fix_", |
| 7903 | TORCH_FN(wrapper_CompositeImplicitAutograd__fix_)); |
| 7904 | m.impl("type_as", |
| 7905 | TORCH_FN(wrapper_CompositeImplicitAutograd__type_as)); |
| 7906 | m.impl("_has_compatible_shallow_copy_type", |
| 7907 | TORCH_FN(wrapper_CompositeImplicitAutograd___has_compatible_shallow_copy_type)); |
| 7908 | m.impl("vander", |
| 7909 | TORCH_FN(wrapper_CompositeImplicitAutograd__vander)); |
| 7910 | m.impl("var", |
| 7911 | TORCH_FN(wrapper_CompositeImplicitAutograd__var)); |
| 7912 | m.impl("var.dim", |
| 7913 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_var)); |
| 7914 | m.impl("var.out", |
| 7915 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_var_out)); |
| 7916 | m.impl("var.names_dim", |
| 7917 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_var)); |
| 7918 | m.impl("var.names_out", |
| 7919 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_var_out)); |
| 7920 | m.impl("var.correction_names", |
| 7921 | TORCH_FN(wrapper_CompositeImplicitAutograd_correction_names_var)); |
| 7922 | m.impl("var.correction_names_out", |
| 7923 | TORCH_FN(wrapper_CompositeImplicitAutograd_correction_names_out_var_out)); |
| 7924 | m.impl("var_mean", |
| 7925 | TORCH_FN(wrapper_CompositeImplicitAutograd__var_mean)); |
| 7926 | m.impl("var_mean.dim", |
| 7927 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_var_mean)); |
| 7928 | m.impl("var_mean.names_dim", |
| 7929 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dim_var_mean)); |
| 7930 | m.impl("var_mean.correction_names", |
| 7931 | TORCH_FN(wrapper_CompositeImplicitAutograd_correction_names_var_mean)); |
| 7932 | m.impl("view_as", |
| 7933 | TORCH_FN(wrapper_CompositeImplicitAutograd__view_as)); |
| 7934 | m.impl("where.ScalarSelf", |
| 7935 | TORCH_FN(wrapper_CompositeImplicitAutograd_ScalarSelf_where)); |
| 7936 | m.impl("where.ScalarOther", |
| 7937 | TORCH_FN(wrapper_CompositeImplicitAutograd_ScalarOther_where)); |
| 7938 | m.impl("where.Scalar", |
| 7939 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_where)); |
| 7940 | m.impl("where", |
| 7941 | TORCH_FN(wrapper_CompositeImplicitAutograd__where)); |
| 7942 | m.impl("norm_except_dim", |
| 7943 | TORCH_FN(wrapper_CompositeImplicitAutograd__norm_except_dim)); |
| 7944 | m.impl("_weight_norm", |
| 7945 | TORCH_FN(wrapper_CompositeImplicitAutograd___weight_norm)); |
| 7946 | m.impl("_weight_norm_differentiable_backward", |
| 7947 | TORCH_FN(wrapper_CompositeImplicitAutograd___weight_norm_differentiable_backward)); |
| 7948 | m.impl("_sparse_sum", |
| 7949 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_sum)); |
| 7950 | m.impl("_sparse_sum.dtype", |
| 7951 | TORCH_FN(wrapper_CompositeImplicitAutograd_dtype__sparse_sum)); |
| 7952 | m.impl("_sparse_sum.dim_dtype", |
| 7953 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_dtype__sparse_sum)); |
| 7954 | m.impl("_sparse_softmax.int", |
| 7955 | TORCH_FN(wrapper_CompositeImplicitAutograd_int__sparse_softmax)); |
| 7956 | m.impl("_sparse_softmax.Dimname", |
| 7957 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname__sparse_softmax)); |
| 7958 | m.impl("_sparse_log_softmax.int", |
| 7959 | TORCH_FN(wrapper_CompositeImplicitAutograd_int__sparse_log_softmax)); |
| 7960 | m.impl("_sparse_log_softmax.Dimname", |
| 7961 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname__sparse_log_softmax)); |
| 7962 | m.impl("norm.names_ScalarOpt_dim_dtype", |
| 7963 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_ScalarOpt_dim_dtype_norm)); |
| 7964 | m.impl("norm.names_dtype_out", |
| 7965 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_dtype_out_norm_out)); |
| 7966 | m.impl("norm.names_ScalarOpt_dim", |
| 7967 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_ScalarOpt_dim_norm)); |
| 7968 | m.impl("norm.names_out", |
| 7969 | TORCH_FN(wrapper_CompositeImplicitAutograd_names_out_norm_out)); |
| 7970 | m.impl("frobenius_norm.dim", |
| 7971 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_frobenius_norm)); |
| 7972 | m.impl("frobenius_norm.out", |
| 7973 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_frobenius_norm_out)); |
| 7974 | m.impl("nuclear_norm", |
| 7975 | TORCH_FN(wrapper_CompositeImplicitAutograd__nuclear_norm)); |
| 7976 | m.impl("nuclear_norm.out", |
| 7977 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_nuclear_norm_out)); |
| 7978 | m.impl("nuclear_norm.dim", |
| 7979 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_nuclear_norm)); |
| 7980 | m.impl("nuclear_norm.dim_out", |
| 7981 | TORCH_FN(wrapper_CompositeImplicitAutograd_dim_out_nuclear_norm_out)); |
| 7982 | m.impl("positive", |
| 7983 | TORCH_FN(wrapper_CompositeImplicitAutograd__positive)); |
| 7984 | m.impl("subtract.Tensor", |
| 7985 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_subtract)); |
| 7986 | m.impl("subtract.out", |
| 7987 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_subtract_out)); |
| 7988 | m.impl("subtract_.Tensor", |
| 7989 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_subtract_)); |
| 7990 | m.impl("subtract.Scalar", |
| 7991 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_subtract)); |
| 7992 | m.impl("subtract_.Scalar", |
| 7993 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_subtract_)); |
| 7994 | m.impl("sparse_compressed_tensor.comp_plain_value_size", |
| 7995 | TORCH_FN(wrapper_CompositeImplicitAutograd_comp_plain_value_size_sparse_compressed_tensor)); |
| 7996 | m.impl("sparse_csr_tensor.crow_col_value_size", |
| 7997 | TORCH_FN(wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_csr_tensor)); |
| 7998 | m.impl("sparse_csc_tensor.ccol_row_value_size", |
| 7999 | TORCH_FN(wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_csc_tensor)); |
| 8000 | m.impl("sparse_bsr_tensor.crow_col_value_size", |
| 8001 | TORCH_FN(wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_bsr_tensor)); |
| 8002 | m.impl("sparse_bsc_tensor.ccol_row_value_size", |
| 8003 | TORCH_FN(wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_bsc_tensor)); |
| 8004 | m.impl("sparse_compressed_tensor.comp_plain_value", |
| 8005 | TORCH_FN(wrapper_CompositeImplicitAutograd_comp_plain_value_sparse_compressed_tensor)); |
| 8006 | m.impl("sparse_csr_tensor.crow_col_value", |
| 8007 | TORCH_FN(wrapper_CompositeImplicitAutograd_crow_col_value_sparse_csr_tensor)); |
| 8008 | m.impl("sparse_csc_tensor.ccol_row_value", |
| 8009 | TORCH_FN(wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_csc_tensor)); |
| 8010 | m.impl("sparse_bsr_tensor.crow_col_value", |
| 8011 | TORCH_FN(wrapper_CompositeImplicitAutograd_crow_col_value_sparse_bsr_tensor)); |
| 8012 | m.impl("sparse_bsc_tensor.ccol_row_value", |
| 8013 | TORCH_FN(wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_bsc_tensor)); |
| 8014 | m.impl("_sparse_compressed_tensor_unsafe", |
| 8015 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_compressed_tensor_unsafe)); |
| 8016 | m.impl("_sparse_csr_tensor_unsafe", |
| 8017 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_csr_tensor_unsafe)); |
| 8018 | m.impl("_sparse_csc_tensor_unsafe", |
| 8019 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_csc_tensor_unsafe)); |
| 8020 | m.impl("_sparse_bsr_tensor_unsafe", |
| 8021 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_bsr_tensor_unsafe)); |
| 8022 | m.impl("_sparse_bsc_tensor_unsafe", |
| 8023 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_bsc_tensor_unsafe)); |
| 8024 | m.impl("sparse_coo_tensor.indices", |
| 8025 | TORCH_FN(wrapper_CompositeImplicitAutograd_indices_sparse_coo_tensor)); |
| 8026 | m.impl("sparse_coo_tensor.indices_size", |
| 8027 | TORCH_FN(wrapper_CompositeImplicitAutograd_indices_size_sparse_coo_tensor)); |
| 8028 | m.impl("_sparse_coo_tensor_unsafe", |
| 8029 | TORCH_FN(wrapper_CompositeImplicitAutograd___sparse_coo_tensor_unsafe)); |
| 8030 | m.impl("_validate_sparse_coo_tensor_args", |
| 8031 | TORCH_FN(wrapper_CompositeImplicitAutograd___validate_sparse_coo_tensor_args)); |
| 8032 | m.impl("_validate_sparse_compressed_tensor_args", |
| 8033 | TORCH_FN(wrapper_CompositeImplicitAutograd___validate_sparse_compressed_tensor_args)); |
| 8034 | m.impl("_validate_sparse_csr_tensor_args", |
| 8035 | TORCH_FN(wrapper_CompositeImplicitAutograd___validate_sparse_csr_tensor_args)); |
| 8036 | m.impl("_validate_sparse_csc_tensor_args", |
| 8037 | TORCH_FN(wrapper_CompositeImplicitAutograd___validate_sparse_csc_tensor_args)); |
| 8038 | m.impl("_validate_sparse_bsr_tensor_args", |
| 8039 | TORCH_FN(wrapper_CompositeImplicitAutograd___validate_sparse_bsr_tensor_args)); |
| 8040 | m.impl("_validate_sparse_bsc_tensor_args", |
| 8041 | TORCH_FN(wrapper_CompositeImplicitAutograd___validate_sparse_bsc_tensor_args)); |
| 8042 | m.impl("_to_cpu", |
| 8043 | TORCH_FN(wrapper_CompositeImplicitAutograd___to_cpu)); |
| 8044 | m.impl("to_dense", |
| 8045 | TORCH_FN(wrapper_CompositeImplicitAutograd__to_dense)); |
| 8046 | m.impl("to_dense_backward", |
| 8047 | TORCH_FN(wrapper_CompositeImplicitAutograd__to_dense_backward)); |
| 8048 | m.impl("coalesce", |
| 8049 | TORCH_FN(wrapper_CompositeImplicitAutograd__coalesce)); |
| 8050 | m.impl("unbind.Dimname", |
| 8051 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_unbind)); |
| 8052 | m.impl("to_mkldnn_backward", |
| 8053 | TORCH_FN(wrapper_CompositeImplicitAutograd__to_mkldnn_backward)); |
| 8054 | m.impl("fake_quantize_per_tensor_affine", |
| 8055 | TORCH_FN(wrapper_CompositeImplicitAutograd__fake_quantize_per_tensor_affine)); |
| 8056 | m.impl("fake_quantize_per_tensor_affine.tensor_qparams", |
| 8057 | TORCH_FN(wrapper_CompositeImplicitAutograd_tensor_qparams_fake_quantize_per_tensor_affine)); |
| 8058 | m.impl("fake_quantize_per_tensor_affine_cachemask_backward", |
| 8059 | TORCH_FN(wrapper_CompositeImplicitAutograd__fake_quantize_per_tensor_affine_cachemask_backward)); |
| 8060 | m.impl("fake_quantize_per_channel_affine", |
| 8061 | TORCH_FN(wrapper_CompositeImplicitAutograd__fake_quantize_per_channel_affine)); |
| 8062 | m.impl("fake_quantize_per_channel_affine_cachemask_backward", |
| 8063 | TORCH_FN(wrapper_CompositeImplicitAutograd__fake_quantize_per_channel_affine_cachemask_backward)); |
| 8064 | m.impl("fused_moving_avg_obs_fake_quant", |
| 8065 | TORCH_FN(wrapper_CompositeImplicitAutograd__fused_moving_avg_obs_fake_quant)); |
| 8066 | m.impl("_choose_qparams_per_tensor", |
| 8067 | TORCH_FN(wrapper_CompositeImplicitAutograd___choose_qparams_per_tensor)); |
| 8068 | m.impl("_saturate_weight_to_fp16", |
| 8069 | TORCH_FN(wrapper_CompositeImplicitAutograd___saturate_weight_to_fp16)); |
| 8070 | m.impl("choose_qparams_optimized", |
| 8071 | TORCH_FN(wrapper_CompositeImplicitAutograd__choose_qparams_optimized)); |
| 8072 | m.impl("_autocast_to_reduced_precision", |
| 8073 | TORCH_FN(wrapper_CompositeImplicitAutograd___autocast_to_reduced_precision)); |
| 8074 | m.impl("_autocast_to_full_precision", |
| 8075 | TORCH_FN(wrapper_CompositeImplicitAutograd___autocast_to_full_precision)); |
| 8076 | m.impl("to.dtype_layout", |
| 8077 | TORCH_FN(wrapper_CompositeImplicitAutograd_dtype_layout_to)); |
| 8078 | m.impl("to.device", |
| 8079 | TORCH_FN(wrapper_CompositeImplicitAutograd_device_to)); |
| 8080 | m.impl("to.dtype", |
| 8081 | TORCH_FN(wrapper_CompositeImplicitAutograd_dtype_to)); |
| 8082 | m.impl("to.other", |
| 8083 | TORCH_FN(wrapper_CompositeImplicitAutograd_other_to)); |
| 8084 | m.impl("meshgrid", |
| 8085 | TORCH_FN(wrapper_CompositeImplicitAutograd__meshgrid)); |
| 8086 | m.impl("meshgrid.indexing", |
| 8087 | TORCH_FN(wrapper_CompositeImplicitAutograd_indexing_meshgrid)); |
| 8088 | m.impl("cartesian_prod", |
| 8089 | TORCH_FN(wrapper_CompositeImplicitAutograd__cartesian_prod)); |
| 8090 | m.impl("combinations", |
| 8091 | TORCH_FN(wrapper_CompositeImplicitAutograd__combinations)); |
| 8092 | m.impl("item", |
| 8093 | TORCH_FN(wrapper_CompositeImplicitAutograd__item)); |
| 8094 | m.impl("result_type.Tensor", |
| 8095 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_result_type)); |
| 8096 | m.impl("result_type.Scalar", |
| 8097 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_result_type)); |
| 8098 | m.impl("result_type.Scalar_Tensor", |
| 8099 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_Tensor_result_type)); |
| 8100 | m.impl("result_type.Scalar_Scalar", |
| 8101 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_Scalar_result_type)); |
| 8102 | m.impl("can_cast", |
| 8103 | TORCH_FN(wrapper_CompositeImplicitAutograd__can_cast)); |
| 8104 | m.impl("promote_types", |
| 8105 | TORCH_FN(wrapper_CompositeImplicitAutograd__promote_types)); |
| 8106 | m.impl("_thnn_fused_lstm_cell_backward", |
| 8107 | TORCH_FN(wrapper_CompositeImplicitAutograd___thnn_fused_lstm_cell_backward)); |
| 8108 | m.impl("_thnn_differentiable_lstm_cell_backward", |
| 8109 | TORCH_FN(wrapper_CompositeImplicitAutograd___thnn_differentiable_lstm_cell_backward)); |
| 8110 | m.impl("_thnn_differentiable_gru_cell_backward", |
| 8111 | TORCH_FN(wrapper_CompositeImplicitAutograd___thnn_differentiable_gru_cell_backward)); |
| 8112 | m.impl("lstm.input", |
| 8113 | TORCH_FN(wrapper_CompositeImplicitAutograd_input_lstm)); |
| 8114 | m.impl("lstm.data", |
| 8115 | TORCH_FN(wrapper_CompositeImplicitAutograd_data_lstm)); |
| 8116 | m.impl("gru.input", |
| 8117 | TORCH_FN(wrapper_CompositeImplicitAutograd_input_gru)); |
| 8118 | m.impl("gru.data", |
| 8119 | TORCH_FN(wrapper_CompositeImplicitAutograd_data_gru)); |
| 8120 | m.impl("rnn_tanh.input", |
| 8121 | TORCH_FN(wrapper_CompositeImplicitAutograd_input_rnn_tanh)); |
| 8122 | m.impl("rnn_tanh.data", |
| 8123 | TORCH_FN(wrapper_CompositeImplicitAutograd_data_rnn_tanh)); |
| 8124 | m.impl("rnn_relu.input", |
| 8125 | TORCH_FN(wrapper_CompositeImplicitAutograd_input_rnn_relu)); |
| 8126 | m.impl("rnn_relu.data", |
| 8127 | TORCH_FN(wrapper_CompositeImplicitAutograd_data_rnn_relu)); |
| 8128 | m.impl("lstm_cell", |
| 8129 | TORCH_FN(wrapper_CompositeImplicitAutograd__lstm_cell)); |
| 8130 | m.impl("gru_cell", |
| 8131 | TORCH_FN(wrapper_CompositeImplicitAutograd__gru_cell)); |
| 8132 | m.impl("rnn_tanh_cell", |
| 8133 | TORCH_FN(wrapper_CompositeImplicitAutograd__rnn_tanh_cell)); |
| 8134 | m.impl("rnn_relu_cell", |
| 8135 | TORCH_FN(wrapper_CompositeImplicitAutograd__rnn_relu_cell)); |
| 8136 | m.impl("quantized_lstm_cell", |
| 8137 | TORCH_FN(wrapper_CompositeImplicitAutograd__quantized_lstm_cell)); |
| 8138 | m.impl("quantized_gru_cell", |
| 8139 | TORCH_FN(wrapper_CompositeImplicitAutograd__quantized_gru_cell)); |
| 8140 | m.impl("quantized_rnn_relu_cell", |
| 8141 | TORCH_FN(wrapper_CompositeImplicitAutograd__quantized_rnn_relu_cell)); |
| 8142 | m.impl("quantized_rnn_tanh_cell", |
| 8143 | TORCH_FN(wrapper_CompositeImplicitAutograd__quantized_rnn_tanh_cell)); |
| 8144 | m.impl("_pack_padded_sequence_backward", |
| 8145 | TORCH_FN(wrapper_CompositeImplicitAutograd___pack_padded_sequence_backward)); |
| 8146 | m.impl("_pad_packed_sequence", |
| 8147 | TORCH_FN(wrapper_CompositeImplicitAutograd___pad_packed_sequence)); |
| 8148 | m.impl("set_.source_Tensor_storage_offset", |
| 8149 | TORCH_FN(wrapper_CompositeImplicitAutograd_source_Tensor_storage_offset_set_)); |
| 8150 | m.impl("index_add.dimname", |
| 8151 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_index_add)); |
| 8152 | m.impl("index_fill_.Dimname_Scalar", |
| 8153 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_Scalar_index_fill_)); |
| 8154 | m.impl("index_fill.Dimname_Scalar", |
| 8155 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_Scalar_index_fill)); |
| 8156 | m.impl("index_fill_.Dimname_Tensor", |
| 8157 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_Tensor_index_fill_)); |
| 8158 | m.impl("index_fill.Dimname_Tensor", |
| 8159 | TORCH_FN(wrapper_CompositeImplicitAutograd_Dimname_Tensor_index_fill)); |
| 8160 | m.impl("scatter.dimname_src", |
| 8161 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_src_scatter)); |
| 8162 | m.impl("scatter.dimname_value", |
| 8163 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_value_scatter)); |
| 8164 | m.impl("scatter_add.dimname", |
| 8165 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_scatter_add)); |
| 8166 | m.impl("bitwise_and_.Scalar", |
| 8167 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_bitwise_and_)); |
| 8168 | m.impl("__and__.Scalar", |
| 8169 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar___and__)); |
| 8170 | m.impl("__iand__.Scalar", |
| 8171 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar___iand__)); |
| 8172 | m.impl("__and__.Tensor", |
| 8173 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor___and__)); |
| 8174 | m.impl("__iand__.Tensor", |
| 8175 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor___iand__)); |
| 8176 | m.impl("bitwise_or.Scalar", |
| 8177 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_bitwise_or)); |
| 8178 | m.impl("bitwise_or_.Scalar", |
| 8179 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_bitwise_or_)); |
| 8180 | m.impl("__or__.Scalar", |
| 8181 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar___or__)); |
| 8182 | m.impl("__ior__.Scalar", |
| 8183 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar___ior__)); |
| 8184 | m.impl("__or__.Tensor", |
| 8185 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor___or__)); |
| 8186 | m.impl("__ior__.Tensor", |
| 8187 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor___ior__)); |
| 8188 | m.impl("bitwise_xor.Scalar", |
| 8189 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_bitwise_xor)); |
| 8190 | m.impl("bitwise_xor_.Scalar", |
| 8191 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_bitwise_xor_)); |
| 8192 | m.impl("__xor__.Scalar", |
| 8193 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar___xor__)); |
| 8194 | m.impl("__ixor__.Scalar", |
| 8195 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar___ixor__)); |
| 8196 | m.impl("__xor__.Tensor", |
| 8197 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor___xor__)); |
| 8198 | m.impl("__ixor__.Tensor", |
| 8199 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor___ixor__)); |
| 8200 | m.impl("diag", |
| 8201 | TORCH_FN(wrapper_CompositeImplicitAutograd__diag)); |
| 8202 | m.impl("diag.out", |
| 8203 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_diag_out)); |
| 8204 | m.impl("cross", |
| 8205 | TORCH_FN(wrapper_CompositeImplicitAutograd__cross)); |
| 8206 | m.impl("cross.out", |
| 8207 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_cross_out)); |
| 8208 | m.impl("trace_backward", |
| 8209 | TORCH_FN(wrapper_CompositeImplicitAutograd__trace_backward)); |
| 8210 | m.impl("not_equal.Scalar", |
| 8211 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_not_equal)); |
| 8212 | m.impl("not_equal.Scalar_out", |
| 8213 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_out_not_equal_out)); |
| 8214 | m.impl("not_equal_.Scalar", |
| 8215 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_not_equal_)); |
| 8216 | m.impl("not_equal.Tensor", |
| 8217 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_not_equal)); |
| 8218 | m.impl("not_equal.Tensor_out", |
| 8219 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_out_not_equal_out)); |
| 8220 | m.impl("not_equal_.Tensor", |
| 8221 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_not_equal_)); |
| 8222 | m.impl("greater_equal.Scalar", |
| 8223 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_greater_equal)); |
| 8224 | m.impl("greater_equal.Scalar_out", |
| 8225 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_out_greater_equal_out)); |
| 8226 | m.impl("greater_equal_.Scalar", |
| 8227 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_greater_equal_)); |
| 8228 | m.impl("greater_equal.Tensor", |
| 8229 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_greater_equal)); |
| 8230 | m.impl("greater_equal.Tensor_out", |
| 8231 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_out_greater_equal_out)); |
| 8232 | m.impl("greater_equal_.Tensor", |
| 8233 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_greater_equal_)); |
| 8234 | m.impl("less_equal.Scalar", |
| 8235 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_less_equal)); |
| 8236 | m.impl("less_equal.Scalar_out", |
| 8237 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_out_less_equal_out)); |
| 8238 | m.impl("less_equal_.Scalar", |
| 8239 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_less_equal_)); |
| 8240 | m.impl("less_equal.Tensor", |
| 8241 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_less_equal)); |
| 8242 | m.impl("less_equal.Tensor_out", |
| 8243 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_out_less_equal_out)); |
| 8244 | m.impl("less_equal_.Tensor", |
| 8245 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_less_equal_)); |
| 8246 | m.impl("greater.Scalar", |
| 8247 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_greater)); |
| 8248 | m.impl("greater.Scalar_out", |
| 8249 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_out_greater_out)); |
| 8250 | m.impl("greater_.Scalar", |
| 8251 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_greater_)); |
| 8252 | m.impl("greater.Tensor", |
| 8253 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_greater)); |
| 8254 | m.impl("greater.Tensor_out", |
| 8255 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_out_greater_out)); |
| 8256 | m.impl("greater_.Tensor", |
| 8257 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_greater_)); |
| 8258 | m.impl("less.Scalar", |
| 8259 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_less)); |
| 8260 | m.impl("less.Scalar_out", |
| 8261 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_out_less_out)); |
| 8262 | m.impl("less_.Scalar", |
| 8263 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_less_)); |
| 8264 | m.impl("less.Tensor", |
| 8265 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_less)); |
| 8266 | m.impl("less.Tensor_out", |
| 8267 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_out_less_out)); |
| 8268 | m.impl("less_.Tensor", |
| 8269 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_less_)); |
| 8270 | m.impl("take_along_dim", |
| 8271 | TORCH_FN(wrapper_CompositeImplicitAutograd__take_along_dim)); |
| 8272 | m.impl("take_along_dim.out", |
| 8273 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_take_along_dim_out)); |
| 8274 | m.impl("index_select.dimname", |
| 8275 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_index_select)); |
| 8276 | m.impl("index_select.dimname_out", |
| 8277 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_index_select_out)); |
| 8278 | m.impl("index_select_backward", |
| 8279 | TORCH_FN(wrapper_CompositeImplicitAutograd__index_select_backward)); |
| 8280 | m.impl("masked_select_backward", |
| 8281 | TORCH_FN(wrapper_CompositeImplicitAutograd__masked_select_backward)); |
| 8282 | m.impl("nonzero_numpy", |
| 8283 | TORCH_FN(wrapper_CompositeImplicitAutograd__nonzero_numpy)); |
| 8284 | m.impl("argwhere", |
| 8285 | TORCH_FN(wrapper_CompositeImplicitAutograd__argwhere)); |
| 8286 | m.impl("gather_backward", |
| 8287 | TORCH_FN(wrapper_CompositeImplicitAutograd__gather_backward)); |
| 8288 | m.impl("gather.dimname", |
| 8289 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_gather)); |
| 8290 | m.impl("gather.dimname_out", |
| 8291 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_out_gather_out)); |
| 8292 | m.impl("_gather_sparse_backward", |
| 8293 | TORCH_FN(wrapper_CompositeImplicitAutograd___gather_sparse_backward)); |
| 8294 | m.impl("cross_entropy_loss", |
| 8295 | TORCH_FN(wrapper_CompositeImplicitAutograd__cross_entropy_loss)); |
| 8296 | m.impl("linalg_vander", |
| 8297 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_vander)); |
| 8298 | m.impl("svd", |
| 8299 | TORCH_FN(wrapper_CompositeImplicitAutograd__svd)); |
| 8300 | m.impl("svd.U", |
| 8301 | TORCH_FN(wrapper_CompositeImplicitAutograd_U_svd_out)); |
| 8302 | m.impl("swapaxes", |
| 8303 | TORCH_FN(wrapper_CompositeImplicitAutograd__swapaxes)); |
| 8304 | m.impl("swapaxes_", |
| 8305 | TORCH_FN(wrapper_CompositeImplicitAutograd__swapaxes_)); |
| 8306 | m.impl("swapdims", |
| 8307 | TORCH_FN(wrapper_CompositeImplicitAutograd__swapdims)); |
| 8308 | m.impl("swapdims_", |
| 8309 | TORCH_FN(wrapper_CompositeImplicitAutograd__swapdims_)); |
| 8310 | m.impl("qr", |
| 8311 | TORCH_FN(wrapper_CompositeImplicitAutograd__qr)); |
| 8312 | m.impl("qr.Q", |
| 8313 | TORCH_FN(wrapper_CompositeImplicitAutograd_Q_qr_out)); |
| 8314 | m.impl("orgqr", |
| 8315 | TORCH_FN(wrapper_CompositeImplicitAutograd__orgqr)); |
| 8316 | m.impl("orgqr.out", |
| 8317 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_orgqr_out)); |
| 8318 | m.impl("_lu_with_info", |
| 8319 | TORCH_FN(wrapper_CompositeImplicitAutograd___lu_with_info)); |
| 8320 | m.impl("lu_solve", |
| 8321 | TORCH_FN(wrapper_CompositeImplicitAutograd__lu_solve)); |
| 8322 | m.impl("lu_solve.out", |
| 8323 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_lu_solve_out)); |
| 8324 | m.impl("arctan2", |
| 8325 | TORCH_FN(wrapper_CompositeImplicitAutograd__arctan2)); |
| 8326 | m.impl("arctan2.out", |
| 8327 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_arctan2_out)); |
| 8328 | m.impl("arctan2_", |
| 8329 | TORCH_FN(wrapper_CompositeImplicitAutograd__arctan2_)); |
| 8330 | m.impl("histogramdd", |
| 8331 | TORCH_FN(wrapper_CompositeImplicitAutograd__histogramdd)); |
| 8332 | m.impl("histogramdd.int_bins", |
| 8333 | TORCH_FN(wrapper_CompositeImplicitAutograd_int_bins_histogramdd)); |
| 8334 | m.impl("histogramdd.TensorList_bins", |
| 8335 | TORCH_FN(wrapper_CompositeImplicitAutograd_TensorList_bins_histogramdd)); |
| 8336 | m.impl("max.other", |
| 8337 | TORCH_FN(wrapper_CompositeImplicitAutograd_other_max)); |
| 8338 | m.impl("max.out", |
| 8339 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_max_out)); |
| 8340 | m.impl("min.other", |
| 8341 | TORCH_FN(wrapper_CompositeImplicitAutograd_other_min)); |
| 8342 | m.impl("min.out", |
| 8343 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_min_out)); |
| 8344 | m.impl("quantile", |
| 8345 | TORCH_FN(wrapper_CompositeImplicitAutograd__quantile)); |
| 8346 | m.impl("quantile.out", |
| 8347 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_quantile_out)); |
| 8348 | m.impl("quantile.scalar", |
| 8349 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalar_quantile)); |
| 8350 | m.impl("quantile.scalar_out", |
| 8351 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalar_out_quantile_out)); |
| 8352 | m.impl("nanquantile", |
| 8353 | TORCH_FN(wrapper_CompositeImplicitAutograd__nanquantile)); |
| 8354 | m.impl("nanquantile.out", |
| 8355 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_nanquantile_out)); |
| 8356 | m.impl("nanquantile.scalar", |
| 8357 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalar_nanquantile)); |
| 8358 | m.impl("nanquantile.scalar_out", |
| 8359 | TORCH_FN(wrapper_CompositeImplicitAutograd_scalar_out_nanquantile_out)); |
| 8360 | m.impl("sort.dimname", |
| 8361 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_sort)); |
| 8362 | m.impl("sort.dimname_values", |
| 8363 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_values_sort_out)); |
| 8364 | m.impl("sort.dimname_stable", |
| 8365 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_stable_sort)); |
| 8366 | m.impl("sort.dimname_values_stable", |
| 8367 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_values_stable_sort_out)); |
| 8368 | m.impl("msort", |
| 8369 | TORCH_FN(wrapper_CompositeImplicitAutograd__msort)); |
| 8370 | m.impl("msort.out", |
| 8371 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_msort_out)); |
| 8372 | m.impl("argsort", |
| 8373 | TORCH_FN(wrapper_CompositeImplicitAutograd__argsort)); |
| 8374 | m.impl("argsort.dimname", |
| 8375 | TORCH_FN(wrapper_CompositeImplicitAutograd_dimname_argsort)); |
| 8376 | m.impl("float_power.Tensor_Tensor", |
| 8377 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_Tensor_float_power)); |
| 8378 | m.impl("float_power.Tensor_Tensor_out", |
| 8379 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_Tensor_out_float_power_out)); |
| 8380 | m.impl("float_power_.Tensor", |
| 8381 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_float_power_)); |
| 8382 | m.impl("float_power.Scalar", |
| 8383 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_float_power)); |
| 8384 | m.impl("float_power.Scalar_out", |
| 8385 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_out_float_power_out)); |
| 8386 | m.impl("float_power.Tensor_Scalar", |
| 8387 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_Scalar_float_power)); |
| 8388 | m.impl("float_power.Tensor_Scalar_out", |
| 8389 | TORCH_FN(wrapper_CompositeImplicitAutograd_Tensor_Scalar_out_float_power_out)); |
| 8390 | m.impl("float_power_.Scalar", |
| 8391 | TORCH_FN(wrapper_CompositeImplicitAutograd_Scalar_float_power_)); |
| 8392 | m.impl("l1_loss", |
| 8393 | TORCH_FN(wrapper_CompositeImplicitAutograd__l1_loss)); |
| 8394 | m.impl("multilabel_margin_loss", |
| 8395 | TORCH_FN(wrapper_CompositeImplicitAutograd__multilabel_margin_loss)); |
| 8396 | m.impl("multilabel_margin_loss.out", |
| 8397 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_multilabel_margin_loss_out)); |
| 8398 | m.impl("nll_loss", |
| 8399 | TORCH_FN(wrapper_CompositeImplicitAutograd__nll_loss)); |
| 8400 | m.impl("nll_loss.out", |
| 8401 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_nll_loss_out)); |
| 8402 | m.impl("nll_loss_nd", |
| 8403 | TORCH_FN(wrapper_CompositeImplicitAutograd__nll_loss_nd)); |
| 8404 | m.impl("nll_loss2d", |
| 8405 | TORCH_FN(wrapper_CompositeImplicitAutograd__nll_loss2d)); |
| 8406 | m.impl("nll_loss2d.out", |
| 8407 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_nll_loss2d_out)); |
| 8408 | m.impl("log_sigmoid", |
| 8409 | TORCH_FN(wrapper_CompositeImplicitAutograd__log_sigmoid)); |
| 8410 | m.impl("log_sigmoid.out", |
| 8411 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_log_sigmoid_out)); |
| 8412 | m.impl("adaptive_avg_pool2d", |
| 8413 | TORCH_FN(wrapper_CompositeImplicitAutograd__adaptive_avg_pool2d)); |
| 8414 | m.impl("adaptive_avg_pool3d", |
| 8415 | TORCH_FN(wrapper_CompositeImplicitAutograd__adaptive_avg_pool3d)); |
| 8416 | m.impl("_pad_circular", |
| 8417 | TORCH_FN(wrapper_CompositeImplicitAutograd___pad_circular)); |
| 8418 | m.impl("_pad_enum", |
| 8419 | TORCH_FN(wrapper_CompositeImplicitAutograd___pad_enum)); |
| 8420 | m.impl("pad", |
| 8421 | TORCH_FN(wrapper_CompositeImplicitAutograd__pad)); |
| 8422 | m.impl("upsample_linear1d.vec", |
| 8423 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec_upsample_linear1d)); |
| 8424 | m.impl("upsample_bilinear2d.vec", |
| 8425 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec_upsample_bilinear2d)); |
| 8426 | m.impl("_upsample_bilinear2d_aa.vec", |
| 8427 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec__upsample_bilinear2d_aa)); |
| 8428 | m.impl("upsample_trilinear3d.vec", |
| 8429 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec_upsample_trilinear3d)); |
| 8430 | m.impl("upsample_bicubic2d.vec", |
| 8431 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec_upsample_bicubic2d)); |
| 8432 | m.impl("_upsample_bicubic2d_aa.vec", |
| 8433 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec__upsample_bicubic2d_aa)); |
| 8434 | m.impl("upsample_nearest1d.vec", |
| 8435 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec_upsample_nearest1d)); |
| 8436 | m.impl("_upsample_nearest_exact1d.vec", |
| 8437 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact1d)); |
| 8438 | m.impl("upsample_nearest2d.vec", |
| 8439 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec_upsample_nearest2d)); |
| 8440 | m.impl("_upsample_nearest_exact2d.vec", |
| 8441 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact2d)); |
| 8442 | m.impl("upsample_nearest3d.vec", |
| 8443 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec_upsample_nearest3d)); |
| 8444 | m.impl("_upsample_nearest_exact3d.vec", |
| 8445 | TORCH_FN(wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact3d)); |
| 8446 | m.impl("thnn_conv2d", |
| 8447 | TORCH_FN(wrapper_CompositeImplicitAutograd__thnn_conv2d)); |
| 8448 | m.impl("thnn_conv2d.out", |
| 8449 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_thnn_conv2d_out)); |
| 8450 | m.impl("slow_conv3d", |
| 8451 | TORCH_FN(wrapper_CompositeImplicitAutograd__slow_conv3d)); |
| 8452 | m.impl("slow_conv3d.out", |
| 8453 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_slow_conv3d_out)); |
| 8454 | m.impl("column_stack", |
| 8455 | TORCH_FN(wrapper_CompositeImplicitAutograd__column_stack)); |
| 8456 | m.impl("column_stack.out", |
| 8457 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_column_stack_out)); |
| 8458 | m.impl("isfinite", |
| 8459 | TORCH_FN(wrapper_CompositeImplicitAutograd__isfinite)); |
| 8460 | m.impl("_add_batch_dim", |
| 8461 | TORCH_FN(wrapper_CompositeImplicitAutograd___add_batch_dim)); |
| 8462 | m.impl("_remove_batch_dim", |
| 8463 | TORCH_FN(wrapper_CompositeImplicitAutograd___remove_batch_dim)); |
| 8464 | m.impl("special_expm1", |
| 8465 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_expm1)); |
| 8466 | m.impl("special_expm1.out", |
| 8467 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_expm1_out)); |
| 8468 | m.impl("special_exp2", |
| 8469 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_exp2)); |
| 8470 | m.impl("special_exp2.out", |
| 8471 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_exp2_out)); |
| 8472 | m.impl("special_psi", |
| 8473 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_psi)); |
| 8474 | m.impl("special_psi.out", |
| 8475 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_psi_out)); |
| 8476 | m.impl("special_digamma", |
| 8477 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_digamma)); |
| 8478 | m.impl("special_digamma.out", |
| 8479 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_digamma_out)); |
| 8480 | m.impl("special_gammaln", |
| 8481 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_gammaln)); |
| 8482 | m.impl("special_gammaln.out", |
| 8483 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_gammaln_out)); |
| 8484 | m.impl("special_erf", |
| 8485 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_erf)); |
| 8486 | m.impl("special_erf.out", |
| 8487 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_erf_out)); |
| 8488 | m.impl("special_erfc", |
| 8489 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_erfc)); |
| 8490 | m.impl("special_erfc.out", |
| 8491 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_erfc_out)); |
| 8492 | m.impl("special_erfinv", |
| 8493 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_erfinv)); |
| 8494 | m.impl("special_erfinv.out", |
| 8495 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_erfinv_out)); |
| 8496 | m.impl("special_ndtr", |
| 8497 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_ndtr)); |
| 8498 | m.impl("special_ndtr.out", |
| 8499 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_ndtr_out)); |
| 8500 | m.impl("special_xlogy", |
| 8501 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_xlogy)); |
| 8502 | m.impl("special_xlogy.out", |
| 8503 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_xlogy_out)); |
| 8504 | m.impl("special_xlogy.self_scalar", |
| 8505 | TORCH_FN(wrapper_CompositeImplicitAutograd_self_scalar_special_xlogy)); |
| 8506 | m.impl("special_xlogy.self_scalar_out", |
| 8507 | TORCH_FN(wrapper_CompositeImplicitAutograd_self_scalar_out_special_xlogy_out)); |
| 8508 | m.impl("special_xlogy.other_scalar", |
| 8509 | TORCH_FN(wrapper_CompositeImplicitAutograd_other_scalar_special_xlogy)); |
| 8510 | m.impl("special_xlogy.other_scalar_out", |
| 8511 | TORCH_FN(wrapper_CompositeImplicitAutograd_other_scalar_out_special_xlogy_out)); |
| 8512 | m.impl("special_i0", |
| 8513 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_i0)); |
| 8514 | m.impl("special_i0.out", |
| 8515 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_i0_out)); |
| 8516 | m.impl("special_logit", |
| 8517 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_logit)); |
| 8518 | m.impl("special_logit.out", |
| 8519 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_logit_out)); |
| 8520 | m.impl("special_polygamma", |
| 8521 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_polygamma)); |
| 8522 | m.impl("special_polygamma.out", |
| 8523 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_polygamma_out)); |
| 8524 | m.impl("special_logsumexp", |
| 8525 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_logsumexp)); |
| 8526 | m.impl("special_logsumexp.out", |
| 8527 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_logsumexp_out)); |
| 8528 | m.impl("special_expit", |
| 8529 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_expit)); |
| 8530 | m.impl("special_expit.out", |
| 8531 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_expit_out)); |
| 8532 | m.impl("special_sinc", |
| 8533 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_sinc)); |
| 8534 | m.impl("special_sinc.out", |
| 8535 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_sinc_out)); |
| 8536 | m.impl("special_round", |
| 8537 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_round)); |
| 8538 | m.impl("special_round.out", |
| 8539 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_round_out)); |
| 8540 | m.impl("special_log1p", |
| 8541 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_log1p)); |
| 8542 | m.impl("special_log1p.out", |
| 8543 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_log1p_out)); |
| 8544 | m.impl("special_log_softmax", |
| 8545 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_log_softmax)); |
| 8546 | m.impl("special_gammainc", |
| 8547 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_gammainc)); |
| 8548 | m.impl("special_gammainc.out", |
| 8549 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_gammainc_out)); |
| 8550 | m.impl("special_gammaincc", |
| 8551 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_gammaincc)); |
| 8552 | m.impl("special_gammaincc.out", |
| 8553 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_gammaincc_out)); |
| 8554 | m.impl("special_multigammaln", |
| 8555 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_multigammaln)); |
| 8556 | m.impl("special_multigammaln.out", |
| 8557 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_special_multigammaln_out)); |
| 8558 | m.impl("special_softmax", |
| 8559 | TORCH_FN(wrapper_CompositeImplicitAutograd__special_softmax)); |
| 8560 | m.impl("fft_fft", |
| 8561 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_fft)); |
| 8562 | m.impl("fft_fft.out", |
| 8563 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_fft_out)); |
| 8564 | m.impl("fft_ifft", |
| 8565 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_ifft)); |
| 8566 | m.impl("fft_ifft.out", |
| 8567 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_ifft_out)); |
| 8568 | m.impl("fft_rfft", |
| 8569 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_rfft)); |
| 8570 | m.impl("fft_rfft.out", |
| 8571 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_rfft_out)); |
| 8572 | m.impl("fft_irfft", |
| 8573 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_irfft)); |
| 8574 | m.impl("fft_irfft.out", |
| 8575 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_irfft_out)); |
| 8576 | m.impl("fft_hfft", |
| 8577 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_hfft)); |
| 8578 | m.impl("fft_hfft.out", |
| 8579 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_hfft_out)); |
| 8580 | m.impl("fft_ihfft", |
| 8581 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_ihfft)); |
| 8582 | m.impl("fft_ihfft.out", |
| 8583 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_ihfft_out)); |
| 8584 | m.impl("fft_fft2", |
| 8585 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_fft2)); |
| 8586 | m.impl("fft_fft2.out", |
| 8587 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_fft2_out)); |
| 8588 | m.impl("fft_ifft2", |
| 8589 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_ifft2)); |
| 8590 | m.impl("fft_ifft2.out", |
| 8591 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_ifft2_out)); |
| 8592 | m.impl("fft_rfft2", |
| 8593 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_rfft2)); |
| 8594 | m.impl("fft_rfft2.out", |
| 8595 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_rfft2_out)); |
| 8596 | m.impl("fft_irfft2", |
| 8597 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_irfft2)); |
| 8598 | m.impl("fft_irfft2.out", |
| 8599 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_irfft2_out)); |
| 8600 | m.impl("fft_hfft2", |
| 8601 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_hfft2)); |
| 8602 | m.impl("fft_hfft2.out", |
| 8603 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_hfft2_out)); |
| 8604 | m.impl("fft_ihfft2", |
| 8605 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_ihfft2)); |
| 8606 | m.impl("fft_ihfft2.out", |
| 8607 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_ihfft2_out)); |
| 8608 | m.impl("fft_fftn", |
| 8609 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_fftn)); |
| 8610 | m.impl("fft_fftn.out", |
| 8611 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_fftn_out)); |
| 8612 | m.impl("fft_ifftn", |
| 8613 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_ifftn)); |
| 8614 | m.impl("fft_ifftn.out", |
| 8615 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_ifftn_out)); |
| 8616 | m.impl("fft_rfftn", |
| 8617 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_rfftn)); |
| 8618 | m.impl("fft_rfftn.out", |
| 8619 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_rfftn_out)); |
| 8620 | m.impl("fft_irfftn", |
| 8621 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_irfftn)); |
| 8622 | m.impl("fft_irfftn.out", |
| 8623 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_irfftn_out)); |
| 8624 | m.impl("fft_hfftn", |
| 8625 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_hfftn)); |
| 8626 | m.impl("fft_hfftn.out", |
| 8627 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_hfftn_out)); |
| 8628 | m.impl("fft_ihfftn", |
| 8629 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_ihfftn)); |
| 8630 | m.impl("fft_ihfftn.out", |
| 8631 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_fft_ihfftn_out)); |
| 8632 | m.impl("fft_fftshift", |
| 8633 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_fftshift)); |
| 8634 | m.impl("fft_ifftshift", |
| 8635 | TORCH_FN(wrapper_CompositeImplicitAutograd__fft_ifftshift)); |
| 8636 | m.impl("linalg_cholesky", |
| 8637 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_cholesky)); |
| 8638 | m.impl("linalg_cholesky.out", |
| 8639 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_cholesky_out)); |
| 8640 | m.impl("linalg_lu_factor", |
| 8641 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_lu_factor)); |
| 8642 | m.impl("linalg_lu_factor.out", |
| 8643 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_lu_factor_out)); |
| 8644 | m.impl("linalg_det", |
| 8645 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_det)); |
| 8646 | m.impl("linalg_det.out", |
| 8647 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_det_out)); |
| 8648 | m.impl("det", |
| 8649 | TORCH_FN(wrapper_CompositeImplicitAutograd__det)); |
| 8650 | m.impl("linalg_ldl_factor", |
| 8651 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_ldl_factor)); |
| 8652 | m.impl("linalg_ldl_factor.out", |
| 8653 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_ldl_factor_out)); |
| 8654 | m.impl("linalg_matmul", |
| 8655 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_matmul)); |
| 8656 | m.impl("linalg_matmul.out", |
| 8657 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_matmul_out)); |
| 8658 | m.impl("linalg_vecdot", |
| 8659 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_vecdot)); |
| 8660 | m.impl("linalg_vecdot.out", |
| 8661 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_vecdot_out)); |
| 8662 | m.impl("linalg_slogdet", |
| 8663 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_slogdet)); |
| 8664 | m.impl("linalg_slogdet.out", |
| 8665 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_slogdet_out)); |
| 8666 | m.impl("slogdet", |
| 8667 | TORCH_FN(wrapper_CompositeImplicitAutograd__slogdet)); |
| 8668 | m.impl("slogdet.out", |
| 8669 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_slogdet_out)); |
| 8670 | m.impl("logdet", |
| 8671 | TORCH_FN(wrapper_CompositeImplicitAutograd__logdet)); |
| 8672 | m.impl("linalg_eigvals", |
| 8673 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_eigvals)); |
| 8674 | m.impl("linalg_eigvals.out", |
| 8675 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_eigvals_out)); |
| 8676 | m.impl("linalg_eigh", |
| 8677 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_eigh)); |
| 8678 | m.impl("linalg_eigh.eigvals", |
| 8679 | TORCH_FN(wrapper_CompositeImplicitAutograd_eigvals_linalg_eigh_out)); |
| 8680 | m.impl("linalg_eigvalsh", |
| 8681 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_eigvalsh)); |
| 8682 | m.impl("linalg_eigvalsh.out", |
| 8683 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_eigvalsh_out)); |
| 8684 | m.impl("linalg_inv", |
| 8685 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_inv)); |
| 8686 | m.impl("linalg_inv.out", |
| 8687 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_inv_out)); |
| 8688 | m.impl("inverse", |
| 8689 | TORCH_FN(wrapper_CompositeImplicitAutograd__inverse)); |
| 8690 | m.impl("inverse.out", |
| 8691 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_inverse_out)); |
| 8692 | m.impl("inner", |
| 8693 | TORCH_FN(wrapper_CompositeImplicitAutograd__inner)); |
| 8694 | m.impl("inner.out", |
| 8695 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_inner_out)); |
| 8696 | m.impl("outer", |
| 8697 | TORCH_FN(wrapper_CompositeImplicitAutograd__outer)); |
| 8698 | m.impl("outer.out", |
| 8699 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_outer_out)); |
| 8700 | m.impl("ger", |
| 8701 | TORCH_FN(wrapper_CompositeImplicitAutograd__ger)); |
| 8702 | m.impl("ger.out", |
| 8703 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_ger_out)); |
| 8704 | m.impl("linalg_norm", |
| 8705 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_norm)); |
| 8706 | m.impl("linalg_norm.out", |
| 8707 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_norm_out)); |
| 8708 | m.impl("linalg_norm.ord_str", |
| 8709 | TORCH_FN(wrapper_CompositeImplicitAutograd_ord_str_linalg_norm)); |
| 8710 | m.impl("linalg_norm.ord_str_out", |
| 8711 | TORCH_FN(wrapper_CompositeImplicitAutograd_ord_str_out_linalg_norm_out)); |
| 8712 | m.impl("linalg_matrix_norm", |
| 8713 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_matrix_norm)); |
| 8714 | m.impl("linalg_matrix_norm.out", |
| 8715 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_matrix_norm_out)); |
| 8716 | m.impl("linalg_matrix_norm.str_ord", |
| 8717 | TORCH_FN(wrapper_CompositeImplicitAutograd_str_ord_linalg_matrix_norm)); |
| 8718 | m.impl("linalg_matrix_norm.str_ord_out", |
| 8719 | TORCH_FN(wrapper_CompositeImplicitAutograd_str_ord_out_linalg_matrix_norm_out)); |
| 8720 | m.impl("linalg_svd", |
| 8721 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_svd)); |
| 8722 | m.impl("linalg_svd.U", |
| 8723 | TORCH_FN(wrapper_CompositeImplicitAutograd_U_linalg_svd_out)); |
| 8724 | m.impl("linalg_svdvals", |
| 8725 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_svdvals)); |
| 8726 | m.impl("linalg_svdvals.out", |
| 8727 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_svdvals_out)); |
| 8728 | m.impl("linalg_cond", |
| 8729 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_cond)); |
| 8730 | m.impl("linalg_cond.out", |
| 8731 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_cond_out)); |
| 8732 | m.impl("linalg_cond.p_str", |
| 8733 | TORCH_FN(wrapper_CompositeImplicitAutograd_p_str_linalg_cond)); |
| 8734 | m.impl("linalg_cond.p_str_out", |
| 8735 | TORCH_FN(wrapper_CompositeImplicitAutograd_p_str_out_linalg_cond_out)); |
| 8736 | m.impl("linalg_pinv.atol_rtol_float", |
| 8737 | TORCH_FN(wrapper_CompositeImplicitAutograd_atol_rtol_float_linalg_pinv)); |
| 8738 | m.impl("linalg_pinv.atol_rtol_float_out", |
| 8739 | TORCH_FN(wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_pinv_out)); |
| 8740 | m.impl("linalg_pinv", |
| 8741 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_pinv)); |
| 8742 | m.impl("linalg_pinv.out", |
| 8743 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_pinv_out)); |
| 8744 | m.impl("linalg_pinv.rcond_tensor", |
| 8745 | TORCH_FN(wrapper_CompositeImplicitAutograd_rcond_tensor_linalg_pinv)); |
| 8746 | m.impl("linalg_pinv.out_rcond_tensor", |
| 8747 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_rcond_tensor_linalg_pinv_out)); |
| 8748 | m.impl("linalg_solve_ex", |
| 8749 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_solve_ex)); |
| 8750 | m.impl("linalg_solve_ex.out", |
| 8751 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_solve_ex_out)); |
| 8752 | m.impl("linalg_solve", |
| 8753 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_solve)); |
| 8754 | m.impl("linalg_solve.out", |
| 8755 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_solve_out)); |
| 8756 | m.impl("linalg_tensorinv", |
| 8757 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_tensorinv)); |
| 8758 | m.impl("linalg_tensorinv.out", |
| 8759 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_tensorinv_out)); |
| 8760 | m.impl("linalg_tensorsolve", |
| 8761 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_tensorsolve)); |
| 8762 | m.impl("linalg_tensorsolve.out", |
| 8763 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_tensorsolve_out)); |
| 8764 | m.impl("linalg_matrix_power", |
| 8765 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_matrix_power)); |
| 8766 | m.impl("linalg_matrix_power.out", |
| 8767 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_matrix_power_out)); |
| 8768 | m.impl("linalg_matrix_rank.atol_rtol_tensor", |
| 8769 | TORCH_FN(wrapper_CompositeImplicitAutograd_atol_rtol_tensor_linalg_matrix_rank)); |
| 8770 | m.impl("linalg_matrix_rank.atol_rtol_tensor_out", |
| 8771 | TORCH_FN(wrapper_CompositeImplicitAutograd_atol_rtol_tensor_out_linalg_matrix_rank_out)); |
| 8772 | m.impl("linalg_matrix_rank.atol_rtol_float", |
| 8773 | TORCH_FN(wrapper_CompositeImplicitAutograd_atol_rtol_float_linalg_matrix_rank)); |
| 8774 | m.impl("linalg_matrix_rank.atol_rtol_float_out", |
| 8775 | TORCH_FN(wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_matrix_rank_out)); |
| 8776 | m.impl("linalg_matrix_rank", |
| 8777 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_matrix_rank)); |
| 8778 | m.impl("linalg_matrix_rank.out", |
| 8779 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_matrix_rank_out)); |
| 8780 | m.impl("linalg_matrix_rank.tol_tensor", |
| 8781 | TORCH_FN(wrapper_CompositeImplicitAutograd_tol_tensor_linalg_matrix_rank)); |
| 8782 | m.impl("linalg_matrix_rank.out_tol_tensor", |
| 8783 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_tol_tensor_linalg_matrix_rank_out)); |
| 8784 | m.impl("linalg_multi_dot", |
| 8785 | TORCH_FN(wrapper_CompositeImplicitAutograd__linalg_multi_dot)); |
| 8786 | m.impl("linalg_multi_dot.out", |
| 8787 | TORCH_FN(wrapper_CompositeImplicitAutograd_out_linalg_multi_dot_out)); |
| 8788 | m.impl("nested_to_padded_tensor", |
| 8789 | TORCH_FN(wrapper_CompositeImplicitAutograd__nested_to_padded_tensor)); |
| 8790 | m.impl("_test_serialization_subcmul", |
| 8791 | TORCH_FN(wrapper_CompositeImplicitAutograd___test_serialization_subcmul)); |
| 8792 | m.impl("_test_string_default", |
| 8793 | TORCH_FN(wrapper_CompositeImplicitAutograd___test_string_default)); |
| 8794 | m.impl("_test_ambiguous_defaults.a", |
| 8795 | TORCH_FN(wrapper_CompositeImplicitAutograd_a__test_ambiguous_defaults)); |
| 8796 | m.impl("_test_ambiguous_defaults.b", |
| 8797 | TORCH_FN(wrapper_CompositeImplicitAutograd_b__test_ambiguous_defaults)); |
| 8798 | m.impl("_test_autograd_multiple_dispatch.ntonly", |
| 8799 | TORCH_FN(wrapper_CompositeImplicitAutograd_ntonly__test_autograd_multiple_dispatch)); |
| 8800 | m.impl("pad_sequence", |
| 8801 | TORCH_FN(wrapper_CompositeImplicitAutograd__pad_sequence)); |
| 8802 | m.impl("flatten_dense_tensors", |
| 8803 | TORCH_FN(wrapper_CompositeImplicitAutograd__flatten_dense_tensors)); |
| 8804 | m.impl("unflatten_dense_tensors", |
| 8805 | TORCH_FN(wrapper_CompositeImplicitAutograd__unflatten_dense_tensors)); |
| 8806 | m.impl("scaled_dot_product_attention", |
| 8807 | TORCH_FN(wrapper_CompositeImplicitAutograd__scaled_dot_product_attention)); |
| 8808 | m.impl("_scaled_dot_product_attention", |
| 8809 | TORCH_FN(wrapper_CompositeImplicitAutograd___scaled_dot_product_attention)); |
| 8810 | m.impl("_scaled_dot_product_attention_math", |
| 8811 | TORCH_FN(wrapper_CompositeImplicitAutograd___scaled_dot_product_attention_math)); |
| 8812 | m.impl("special_chebyshev_polynomial_t.x_scalar", |
| 8813 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_t)); |
| 8814 | m.impl("special_chebyshev_polynomial_t.x_scalar_out", |
| 8815 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_t_out)); |
| 8816 | m.impl("special_chebyshev_polynomial_t.n_scalar", |
| 8817 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_t)); |
| 8818 | m.impl("special_chebyshev_polynomial_u.x_scalar", |
| 8819 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_u)); |
| 8820 | m.impl("special_chebyshev_polynomial_u.x_scalar_out", |
| 8821 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_u_out)); |
| 8822 | m.impl("special_chebyshev_polynomial_u.n_scalar", |
| 8823 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_u)); |
| 8824 | m.impl("special_chebyshev_polynomial_v.x_scalar", |
| 8825 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_v)); |
| 8826 | m.impl("special_chebyshev_polynomial_v.x_scalar_out", |
| 8827 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_v_out)); |
| 8828 | m.impl("special_chebyshev_polynomial_v.n_scalar", |
| 8829 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_v)); |
| 8830 | m.impl("special_chebyshev_polynomial_w.x_scalar", |
| 8831 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_w)); |
| 8832 | m.impl("special_chebyshev_polynomial_w.x_scalar_out", |
| 8833 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_w_out)); |
| 8834 | m.impl("special_chebyshev_polynomial_w.n_scalar", |
| 8835 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_w)); |
| 8836 | m.impl("special_hermite_polynomial_h.x_scalar", |
| 8837 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_hermite_polynomial_h)); |
| 8838 | m.impl("special_hermite_polynomial_h.x_scalar_out", |
| 8839 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_h_out)); |
| 8840 | m.impl("special_hermite_polynomial_h.n_scalar", |
| 8841 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_hermite_polynomial_h)); |
| 8842 | m.impl("special_hermite_polynomial_he.x_scalar", |
| 8843 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_hermite_polynomial_he)); |
| 8844 | m.impl("special_hermite_polynomial_he.x_scalar_out", |
| 8845 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_he_out)); |
| 8846 | m.impl("special_hermite_polynomial_he.n_scalar", |
| 8847 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_hermite_polynomial_he)); |
| 8848 | m.impl("special_laguerre_polynomial_l.x_scalar", |
| 8849 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_laguerre_polynomial_l)); |
| 8850 | m.impl("special_laguerre_polynomial_l.x_scalar_out", |
| 8851 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_laguerre_polynomial_l_out)); |
| 8852 | m.impl("special_laguerre_polynomial_l.n_scalar", |
| 8853 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_laguerre_polynomial_l)); |
| 8854 | m.impl("special_legendre_polynomial_p.x_scalar", |
| 8855 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_legendre_polynomial_p)); |
| 8856 | m.impl("special_legendre_polynomial_p.x_scalar_out", |
| 8857 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_legendre_polynomial_p_out)); |
| 8858 | m.impl("special_legendre_polynomial_p.n_scalar", |
| 8859 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_legendre_polynomial_p)); |
| 8860 | m.impl("special_shifted_chebyshev_polynomial_t.x_scalar", |
| 8861 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_t)); |
| 8862 | m.impl("special_shifted_chebyshev_polynomial_t.x_scalar_out", |
| 8863 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_t_out)); |
| 8864 | m.impl("special_shifted_chebyshev_polynomial_t.n_scalar", |
| 8865 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_t)); |
| 8866 | m.impl("special_shifted_chebyshev_polynomial_u.x_scalar", |
| 8867 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_u)); |
| 8868 | m.impl("special_shifted_chebyshev_polynomial_u.x_scalar_out", |
| 8869 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_u_out)); |
| 8870 | m.impl("special_shifted_chebyshev_polynomial_u.n_scalar", |
| 8871 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_u)); |
| 8872 | m.impl("special_shifted_chebyshev_polynomial_v.x_scalar", |
| 8873 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_v)); |
| 8874 | m.impl("special_shifted_chebyshev_polynomial_v.x_scalar_out", |
| 8875 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_v_out)); |
| 8876 | m.impl("special_shifted_chebyshev_polynomial_v.n_scalar", |
| 8877 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_v)); |
| 8878 | m.impl("special_shifted_chebyshev_polynomial_w.x_scalar", |
| 8879 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_w)); |
| 8880 | m.impl("special_shifted_chebyshev_polynomial_w.x_scalar_out", |
| 8881 | TORCH_FN(wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_w_out)); |
| 8882 | m.impl("special_shifted_chebyshev_polynomial_w.n_scalar", |
| 8883 | TORCH_FN(wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_w)); |
| 8884 | }; |
| 8885 | } // anonymous namespace |
| 8886 | namespace compositeimplicitautograd { |
| 8887 | at::Tensor _cast_Byte(const at::Tensor & self, bool non_blocking) { |
| 8888 | return wrapper_CompositeImplicitAutograd___cast_Byte(self, non_blocking); |
| 8889 | } |
| 8890 | at::Tensor _cast_Char(const at::Tensor & self, bool non_blocking) { |
| 8891 | return wrapper_CompositeImplicitAutograd___cast_Char(self, non_blocking); |
| 8892 | } |
| 8893 | at::Tensor _cast_Double(const at::Tensor & self, bool non_blocking) { |
| 8894 | return wrapper_CompositeImplicitAutograd___cast_Double(self, non_blocking); |
| 8895 | } |
| 8896 | at::Tensor _cast_Float(const at::Tensor & self, bool non_blocking) { |
| 8897 | return wrapper_CompositeImplicitAutograd___cast_Float(self, non_blocking); |
| 8898 | } |
| 8899 | at::Tensor _cast_Int(const at::Tensor & self, bool non_blocking) { |
| 8900 | return wrapper_CompositeImplicitAutograd___cast_Int(self, non_blocking); |
| 8901 | } |
| 8902 | at::Tensor _cast_Long(const at::Tensor & self, bool non_blocking) { |
| 8903 | return wrapper_CompositeImplicitAutograd___cast_Long(self, non_blocking); |
| 8904 | } |
| 8905 | at::Tensor _cast_Short(const at::Tensor & self, bool non_blocking) { |
| 8906 | return wrapper_CompositeImplicitAutograd___cast_Short(self, non_blocking); |
| 8907 | } |
| 8908 | at::Tensor _cast_Half(const at::Tensor & self, bool non_blocking) { |
| 8909 | return wrapper_CompositeImplicitAutograd___cast_Half(self, non_blocking); |
| 8910 | } |
| 8911 | void _backward(const at::Tensor & self, at::TensorList inputs, const c10::optional<at::Tensor> & gradient, c10::optional<bool> retain_graph, bool create_graph) { |
| 8912 | return wrapper_CompositeImplicitAutograd___backward(self, inputs, gradient, retain_graph, create_graph); |
| 8913 | } |
| 8914 | void set_data(at::Tensor & self, const at::Tensor & new_data) { |
| 8915 | return wrapper_CompositeImplicitAutograd__set_data(self, new_data); |
| 8916 | } |
| 8917 | at::Tensor data(const at::Tensor & self) { |
| 8918 | return wrapper_CompositeImplicitAutograd__data(self); |
| 8919 | } |
| 8920 | bool is_leaf(const at::Tensor & self) { |
| 8921 | return wrapper_CompositeImplicitAutograd__is_leaf(self); |
| 8922 | } |
| 8923 | int64_t output_nr(const at::Tensor & self) { |
| 8924 | return wrapper_CompositeImplicitAutograd__output_nr(self); |
| 8925 | } |
| 8926 | int64_t _version(const at::Tensor & self) { |
| 8927 | return wrapper_CompositeImplicitAutograd___version(self); |
| 8928 | } |
| 8929 | at::Tensor & requires_grad_(at::Tensor & self, bool requires_grad) { |
| 8930 | return wrapper_CompositeImplicitAutograd__requires_grad_(self, requires_grad); |
| 8931 | } |
| 8932 | void retain_grad(at::Tensor & self) { |
| 8933 | return wrapper_CompositeImplicitAutograd__retain_grad(self); |
| 8934 | } |
| 8935 | bool retains_grad(const at::Tensor & self) { |
| 8936 | return wrapper_CompositeImplicitAutograd__retains_grad(self); |
| 8937 | } |
| 8938 | ::std::tuple<at::Tensor,at::Tensor> _unpack_dual(const at::Tensor & dual, int64_t level) { |
| 8939 | return wrapper_CompositeImplicitAutograd___unpack_dual(dual, level); |
| 8940 | } |
| 8941 | at::Tensor & rename_(at::Tensor & self, c10::optional<at::DimnameList> names) { |
| 8942 | return wrapper_CompositeImplicitAutograd__rename_(self, names); |
| 8943 | } |
| 8944 | at::Tensor rename(const at::Tensor & self, c10::optional<at::DimnameList> names) { |
| 8945 | return wrapper_CompositeImplicitAutograd__rename(self, names); |
| 8946 | } |
| 8947 | at::Tensor align_to(const at::Tensor & self, at::DimnameList names) { |
| 8948 | return wrapper_CompositeImplicitAutograd__align_to(self, names); |
| 8949 | } |
| 8950 | at::Tensor align_to(const at::Tensor & self, at::DimnameList order, int64_t ellipsis_idx) { |
| 8951 | return wrapper_CompositeImplicitAutograd_ellipsis_idx_align_to(self, order, ellipsis_idx); |
| 8952 | } |
| 8953 | at::Tensor align_as(const at::Tensor & self, const at::Tensor & other) { |
| 8954 | return wrapper_CompositeImplicitAutograd__align_as(self, other); |
| 8955 | } |
| 8956 | ::std::vector<at::Tensor> align_tensors(at::TensorList tensors) { |
| 8957 | return wrapper_CompositeImplicitAutograd__align_tensors(tensors); |
| 8958 | } |
| 8959 | void _assert_tensor_metadata(const at::Tensor & a, at::OptionalIntArrayRef size, at::OptionalIntArrayRef stride, c10::optional<at::ScalarType> dtype) { |
| 8960 | return wrapper_CompositeImplicitAutograd___assert_tensor_metadata(a, size, stride, dtype); |
| 8961 | } |
| 8962 | at::Tensor refine_names(const at::Tensor & self, at::DimnameList names) { |
| 8963 | return wrapper_CompositeImplicitAutograd__refine_names(self, names); |
| 8964 | } |
| 8965 | bool _use_cudnn_rnn_flatten_weight() { |
| 8966 | return wrapper_CompositeImplicitAutograd___use_cudnn_rnn_flatten_weight(); |
| 8967 | } |
| 8968 | int64_t _debug_has_internal_overlap(const at::Tensor & self) { |
| 8969 | return wrapper_CompositeImplicitAutograd___debug_has_internal_overlap(self); |
| 8970 | } |
| 8971 | ::std::tuple<at::Tensor,at::Tensor> _sobol_engine_draw(const at::Tensor & quasi, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated, c10::optional<at::ScalarType> dtype) { |
| 8972 | return wrapper_CompositeImplicitAutograd___sobol_engine_draw(quasi, n, sobolstate, dimension, num_generated, dtype); |
| 8973 | } |
| 8974 | at::Tensor & _sobol_engine_ff_(at::Tensor & self, int64_t n, const at::Tensor & sobolstate, int64_t dimension, int64_t num_generated) { |
| 8975 | return wrapper_CompositeImplicitAutograd___sobol_engine_ff_(self, n, sobolstate, dimension, num_generated); |
| 8976 | } |
| 8977 | at::Tensor & _sobol_engine_scramble_(at::Tensor & self, const at::Tensor & ltm, int64_t dimension) { |
| 8978 | return wrapper_CompositeImplicitAutograd___sobol_engine_scramble_(self, ltm, dimension); |
| 8979 | } |
| 8980 | at::Tensor & _sobol_engine_initialize_state_(at::Tensor & self, int64_t dimension) { |
| 8981 | return wrapper_CompositeImplicitAutograd___sobol_engine_initialize_state_(self, dimension); |
| 8982 | } |
| 8983 | at::Tensor _reshape_from_tensor(const at::Tensor & self, const at::Tensor & shape) { |
| 8984 | return wrapper_CompositeImplicitAutograd___reshape_from_tensor(self, shape); |
| 8985 | } |
| 8986 | at::Tensor _shape_as_tensor(const at::Tensor & self) { |
| 8987 | return wrapper_CompositeImplicitAutograd___shape_as_tensor(self); |
| 8988 | } |
| 8989 | at::Tensor dropout(const at::Tensor & input, double p, bool train) { |
| 8990 | return wrapper_CompositeImplicitAutograd__dropout(input, p, train); |
| 8991 | } |
| 8992 | at::Tensor & dropout_(at::Tensor & self, double p, bool train) { |
| 8993 | return wrapper_CompositeImplicitAutograd__dropout_(self, p, train); |
| 8994 | } |
| 8995 | at::Tensor feature_dropout(const at::Tensor & input, double p, bool train) { |
| 8996 | return wrapper_CompositeImplicitAutograd__feature_dropout(input, p, train); |
| 8997 | } |
| 8998 | at::Tensor & feature_dropout_(at::Tensor & self, double p, bool train) { |
| 8999 | return wrapper_CompositeImplicitAutograd__feature_dropout_(self, p, train); |
| 9000 | } |
| 9001 | at::Tensor alpha_dropout(const at::Tensor & input, double p, bool train) { |
| 9002 | return wrapper_CompositeImplicitAutograd__alpha_dropout(input, p, train); |
| 9003 | } |
| 9004 | at::Tensor & alpha_dropout_(at::Tensor & self, double p, bool train) { |
| 9005 | return wrapper_CompositeImplicitAutograd__alpha_dropout_(self, p, train); |
| 9006 | } |
| 9007 | at::Tensor feature_alpha_dropout(const at::Tensor & input, double p, bool train) { |
| 9008 | return wrapper_CompositeImplicitAutograd__feature_alpha_dropout(input, p, train); |
| 9009 | } |
| 9010 | at::Tensor & feature_alpha_dropout_(at::Tensor & self, double p, bool train) { |
| 9011 | return wrapper_CompositeImplicitAutograd__feature_alpha_dropout_(self, p, train); |
| 9012 | } |
| 9013 | at::Tensor absolute(const at::Tensor & self) { |
| 9014 | return wrapper_CompositeImplicitAutograd__absolute(self); |
| 9015 | } |
| 9016 | at::Tensor & absolute_out(at::Tensor & out, const at::Tensor & self) { |
| 9017 | return wrapper_CompositeImplicitAutograd_out_absolute_out(self, out); |
| 9018 | } |
| 9019 | at::Tensor & absolute_outf(const at::Tensor & self, at::Tensor & out) { |
| 9020 | return wrapper_CompositeImplicitAutograd_out_absolute_out(self, out); |
| 9021 | } |
| 9022 | at::Tensor & absolute_(at::Tensor & self) { |
| 9023 | return wrapper_CompositeImplicitAutograd__absolute_(self); |
| 9024 | } |
| 9025 | at::Tensor chalf(const at::Tensor & self, c10::optional<at::MemoryFormat> memory_format) { |
| 9026 | return wrapper_CompositeImplicitAutograd__chalf(self, memory_format); |
| 9027 | } |
| 9028 | at::Tensor real(const at::Tensor & self) { |
| 9029 | return wrapper_CompositeImplicitAutograd__real(self); |
| 9030 | } |
| 9031 | at::Tensor imag(const at::Tensor & self) { |
| 9032 | return wrapper_CompositeImplicitAutograd__imag(self); |
| 9033 | } |
| 9034 | at::Tensor conj(const at::Tensor & self) { |
| 9035 | return wrapper_CompositeImplicitAutograd__conj(self); |
| 9036 | } |
| 9037 | at::Tensor conj_physical(const at::Tensor & self) { |
| 9038 | return wrapper_CompositeImplicitAutograd__conj_physical(self); |
| 9039 | } |
| 9040 | at::Tensor resolve_conj(const at::Tensor & self) { |
| 9041 | return wrapper_CompositeImplicitAutograd__resolve_conj(self); |
| 9042 | } |
| 9043 | at::Tensor resolve_neg(const at::Tensor & self) { |
| 9044 | return wrapper_CompositeImplicitAutograd__resolve_neg(self); |
| 9045 | } |
| 9046 | at::Tensor arccos(const at::Tensor & self) { |
| 9047 | return wrapper_CompositeImplicitAutograd__arccos(self); |
| 9048 | } |
| 9049 | at::Tensor & arccos_out(at::Tensor & out, const at::Tensor & self) { |
| 9050 | return wrapper_CompositeImplicitAutograd_out_arccos_out(self, out); |
| 9051 | } |
| 9052 | at::Tensor & arccos_outf(const at::Tensor & self, at::Tensor & out) { |
| 9053 | return wrapper_CompositeImplicitAutograd_out_arccos_out(self, out); |
| 9054 | } |
| 9055 | at::Tensor & arccos_(at::Tensor & self) { |
| 9056 | return wrapper_CompositeImplicitAutograd__arccos_(self); |
| 9057 | } |
| 9058 | at::Tensor avg_pool1d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, bool ceil_mode, bool count_include_pad) { |
| 9059 | return wrapper_CompositeImplicitAutograd__avg_pool1d(self, kernel_size, stride, padding, ceil_mode, count_include_pad); |
| 9060 | } |
| 9061 | at::Tensor adaptive_avg_pool1d(const at::Tensor & self, at::IntArrayRef output_size) { |
| 9062 | return wrapper_CompositeImplicitAutograd__adaptive_avg_pool1d(self, output_size); |
| 9063 | } |
| 9064 | ::std::tuple<at::Tensor,at::Tensor> adaptive_max_pool1d(const at::Tensor & self, at::IntArrayRef output_size) { |
| 9065 | return wrapper_CompositeImplicitAutograd__adaptive_max_pool1d(self, output_size); |
| 9066 | } |
| 9067 | at::Tensor affine_grid_generator_backward(const at::Tensor & grad, at::IntArrayRef size, bool align_corners) { |
| 9068 | return wrapper_CompositeImplicitAutograd__affine_grid_generator_backward(grad, size, align_corners); |
| 9069 | } |
| 9070 | at::Tensor _test_check_tensor(const at::Tensor & self) { |
| 9071 | return wrapper_CompositeImplicitAutograd___test_check_tensor(self); |
| 9072 | } |
| 9073 | at::Tensor all(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9074 | return wrapper_CompositeImplicitAutograd_dimname_all(self, dim, keepdim); |
| 9075 | } |
| 9076 | at::Tensor & all_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9077 | return wrapper_CompositeImplicitAutograd_dimname_out_all_out(self, dim, keepdim, out); |
| 9078 | } |
| 9079 | at::Tensor & all_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) { |
| 9080 | return wrapper_CompositeImplicitAutograd_dimname_out_all_out(self, dim, keepdim, out); |
| 9081 | } |
| 9082 | at::Tensor any(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9083 | return wrapper_CompositeImplicitAutograd_dimname_any(self, dim, keepdim); |
| 9084 | } |
| 9085 | at::Tensor & any_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9086 | return wrapper_CompositeImplicitAutograd_dimname_out_any_out(self, dim, keepdim, out); |
| 9087 | } |
| 9088 | at::Tensor & any_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & out) { |
| 9089 | return wrapper_CompositeImplicitAutograd_dimname_out_any_out(self, dim, keepdim, out); |
| 9090 | } |
| 9091 | at::Tensor _dim_arange(const at::Tensor & like, int64_t dim) { |
| 9092 | return wrapper_CompositeImplicitAutograd___dim_arange(like, dim); |
| 9093 | } |
| 9094 | at::Tensor arccosh(const at::Tensor & self) { |
| 9095 | return wrapper_CompositeImplicitAutograd__arccosh(self); |
| 9096 | } |
| 9097 | at::Tensor & arccosh_out(at::Tensor & out, const at::Tensor & self) { |
| 9098 | return wrapper_CompositeImplicitAutograd_out_arccosh_out(self, out); |
| 9099 | } |
| 9100 | at::Tensor & arccosh_outf(const at::Tensor & self, at::Tensor & out) { |
| 9101 | return wrapper_CompositeImplicitAutograd_out_arccosh_out(self, out); |
| 9102 | } |
| 9103 | at::Tensor & arccosh_(at::Tensor & self) { |
| 9104 | return wrapper_CompositeImplicitAutograd__arccosh_(self); |
| 9105 | } |
| 9106 | at::Tensor arcsinh(const at::Tensor & self) { |
| 9107 | return wrapper_CompositeImplicitAutograd__arcsinh(self); |
| 9108 | } |
| 9109 | at::Tensor & arcsinh_out(at::Tensor & out, const at::Tensor & self) { |
| 9110 | return wrapper_CompositeImplicitAutograd_out_arcsinh_out(self, out); |
| 9111 | } |
| 9112 | at::Tensor & arcsinh_outf(const at::Tensor & self, at::Tensor & out) { |
| 9113 | return wrapper_CompositeImplicitAutograd_out_arcsinh_out(self, out); |
| 9114 | } |
| 9115 | at::Tensor & arcsinh_(at::Tensor & self) { |
| 9116 | return wrapper_CompositeImplicitAutograd__arcsinh_(self); |
| 9117 | } |
| 9118 | at::Tensor arctanh(const at::Tensor & self) { |
| 9119 | return wrapper_CompositeImplicitAutograd__arctanh(self); |
| 9120 | } |
| 9121 | at::Tensor & arctanh_out(at::Tensor & out, const at::Tensor & self) { |
| 9122 | return wrapper_CompositeImplicitAutograd_out_arctanh_out(self, out); |
| 9123 | } |
| 9124 | at::Tensor & arctanh_outf(const at::Tensor & self, at::Tensor & out) { |
| 9125 | return wrapper_CompositeImplicitAutograd_out_arctanh_out(self, out); |
| 9126 | } |
| 9127 | at::Tensor & arctanh_(at::Tensor & self) { |
| 9128 | return wrapper_CompositeImplicitAutograd__arctanh_(self); |
| 9129 | } |
| 9130 | at::Tensor arcsin(const at::Tensor & self) { |
| 9131 | return wrapper_CompositeImplicitAutograd__arcsin(self); |
| 9132 | } |
| 9133 | at::Tensor & arcsin_out(at::Tensor & out, const at::Tensor & self) { |
| 9134 | return wrapper_CompositeImplicitAutograd_out_arcsin_out(self, out); |
| 9135 | } |
| 9136 | at::Tensor & arcsin_outf(const at::Tensor & self, at::Tensor & out) { |
| 9137 | return wrapper_CompositeImplicitAutograd_out_arcsin_out(self, out); |
| 9138 | } |
| 9139 | at::Tensor & arcsin_(at::Tensor & self) { |
| 9140 | return wrapper_CompositeImplicitAutograd__arcsin_(self); |
| 9141 | } |
| 9142 | at::Tensor arctan(const at::Tensor & self) { |
| 9143 | return wrapper_CompositeImplicitAutograd__arctan(self); |
| 9144 | } |
| 9145 | at::Tensor & arctan_out(at::Tensor & out, const at::Tensor & self) { |
| 9146 | return wrapper_CompositeImplicitAutograd_out_arctan_out(self, out); |
| 9147 | } |
| 9148 | at::Tensor & arctan_outf(const at::Tensor & self, at::Tensor & out) { |
| 9149 | return wrapper_CompositeImplicitAutograd_out_arctan_out(self, out); |
| 9150 | } |
| 9151 | at::Tensor & arctan_(at::Tensor & self) { |
| 9152 | return wrapper_CompositeImplicitAutograd__arctan_(self); |
| 9153 | } |
| 9154 | at::Tensor atleast_1d(const at::Tensor & self) { |
| 9155 | return wrapper_CompositeImplicitAutograd__atleast_1d(self); |
| 9156 | } |
| 9157 | ::std::vector<at::Tensor> atleast_1d(at::TensorList tensors) { |
| 9158 | return wrapper_CompositeImplicitAutograd_Sequence_atleast_1d(tensors); |
| 9159 | } |
| 9160 | at::Tensor atleast_2d(const at::Tensor & self) { |
| 9161 | return wrapper_CompositeImplicitAutograd__atleast_2d(self); |
| 9162 | } |
| 9163 | ::std::vector<at::Tensor> atleast_2d(at::TensorList tensors) { |
| 9164 | return wrapper_CompositeImplicitAutograd_Sequence_atleast_2d(tensors); |
| 9165 | } |
| 9166 | at::Tensor atleast_3d(const at::Tensor & self) { |
| 9167 | return wrapper_CompositeImplicitAutograd__atleast_3d(self); |
| 9168 | } |
| 9169 | ::std::vector<at::Tensor> atleast_3d(at::TensorList tensors) { |
| 9170 | return wrapper_CompositeImplicitAutograd_Sequence_atleast_3d(tensors); |
| 9171 | } |
| 9172 | at::Tensor batch_norm(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) { |
| 9173 | return wrapper_CompositeImplicitAutograd__batch_norm(input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled); |
| 9174 | } |
| 9175 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,int64_t> _batch_norm_impl_index(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) { |
| 9176 | return wrapper_CompositeImplicitAutograd___batch_norm_impl_index(input, weight, bias, running_mean, running_var, training, momentum, eps, cudnn_enabled); |
| 9177 | } |
| 9178 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _batch_norm_impl_index_backward(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) { |
| 9179 | return wrapper_CompositeImplicitAutograd___batch_norm_impl_index_backward(impl_index, input, grad_output, weight, running_mean, running_var, save_mean, save_var_transform, train, eps, output_mask, reservedSpace); |
| 9180 | } |
| 9181 | at::Tensor bilinear(const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & weight, const c10::optional<at::Tensor> & bias) { |
| 9182 | return wrapper_CompositeImplicitAutograd__bilinear(input1, input2, weight, bias); |
| 9183 | } |
| 9184 | ::std::vector<at::Tensor> broadcast_tensors(at::TensorList tensors) { |
| 9185 | return wrapper_CompositeImplicitAutograd__broadcast_tensors(tensors); |
| 9186 | } |
| 9187 | at::Tensor broadcast_to(const at::Tensor & self, at::IntArrayRef size) { |
| 9188 | return wrapper_CompositeImplicitAutograd__broadcast_to(self, c10::fromIntArrayRefSlow(size)); |
| 9189 | } |
| 9190 | at::Tensor broadcast_to_symint(const at::Tensor & self, c10::SymIntArrayRef size) { |
| 9191 | return wrapper_CompositeImplicitAutograd__broadcast_to(self, size); |
| 9192 | } |
| 9193 | at::Tensor cat(at::TensorList tensors, at::Dimname dim) { |
| 9194 | return wrapper_CompositeImplicitAutograd_names_cat(tensors, dim); |
| 9195 | } |
| 9196 | at::Tensor & cat_out(at::Tensor & out, at::TensorList tensors, at::Dimname dim) { |
| 9197 | return wrapper_CompositeImplicitAutograd_names_out_cat_out(tensors, dim, out); |
| 9198 | } |
| 9199 | at::Tensor & cat_outf(at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 9200 | return wrapper_CompositeImplicitAutograd_names_out_cat_out(tensors, dim, out); |
| 9201 | } |
| 9202 | at::Tensor concat(at::TensorList tensors, int64_t dim) { |
| 9203 | return wrapper_CompositeImplicitAutograd__concat(tensors, dim); |
| 9204 | } |
| 9205 | at::Tensor & concat_out(at::Tensor & out, at::TensorList tensors, int64_t dim) { |
| 9206 | return wrapper_CompositeImplicitAutograd_out_concat_out(tensors, dim, out); |
| 9207 | } |
| 9208 | at::Tensor & concat_outf(at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 9209 | return wrapper_CompositeImplicitAutograd_out_concat_out(tensors, dim, out); |
| 9210 | } |
| 9211 | at::Tensor concat(at::TensorList tensors, at::Dimname dim) { |
| 9212 | return wrapper_CompositeImplicitAutograd_names_concat(tensors, dim); |
| 9213 | } |
| 9214 | at::Tensor & concat_out(at::Tensor & out, at::TensorList tensors, at::Dimname dim) { |
| 9215 | return wrapper_CompositeImplicitAutograd_names_out_concat_out(tensors, dim, out); |
| 9216 | } |
| 9217 | at::Tensor & concat_outf(at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 9218 | return wrapper_CompositeImplicitAutograd_names_out_concat_out(tensors, dim, out); |
| 9219 | } |
| 9220 | at::Tensor concatenate(at::TensorList tensors, int64_t dim) { |
| 9221 | return wrapper_CompositeImplicitAutograd__concatenate(tensors, dim); |
| 9222 | } |
| 9223 | at::Tensor & concatenate_out(at::Tensor & out, at::TensorList tensors, int64_t dim) { |
| 9224 | return wrapper_CompositeImplicitAutograd_out_concatenate_out(tensors, dim, out); |
| 9225 | } |
| 9226 | at::Tensor & concatenate_outf(at::TensorList tensors, int64_t dim, at::Tensor & out) { |
| 9227 | return wrapper_CompositeImplicitAutograd_out_concatenate_out(tensors, dim, out); |
| 9228 | } |
| 9229 | at::Tensor concatenate(at::TensorList tensors, at::Dimname dim) { |
| 9230 | return wrapper_CompositeImplicitAutograd_names_concatenate(tensors, dim); |
| 9231 | } |
| 9232 | at::Tensor & concatenate_out(at::Tensor & out, at::TensorList tensors, at::Dimname dim) { |
| 9233 | return wrapper_CompositeImplicitAutograd_names_out_concatenate_out(tensors, dim, out); |
| 9234 | } |
| 9235 | at::Tensor & concatenate_outf(at::TensorList tensors, at::Dimname dim, at::Tensor & out) { |
| 9236 | return wrapper_CompositeImplicitAutograd_names_out_concatenate_out(tensors, dim, out); |
| 9237 | } |
| 9238 | at::Tensor chain_matmul(at::TensorList matrices) { |
| 9239 | return wrapper_CompositeImplicitAutograd__chain_matmul(matrices); |
| 9240 | } |
| 9241 | at::Tensor & chain_matmul_out(at::Tensor & out, at::TensorList matrices) { |
| 9242 | return wrapper_CompositeImplicitAutograd_out_chain_matmul_out(matrices, out); |
| 9243 | } |
| 9244 | at::Tensor & chain_matmul_outf(at::TensorList matrices, at::Tensor & out) { |
| 9245 | return wrapper_CompositeImplicitAutograd_out_chain_matmul_out(matrices, out); |
| 9246 | } |
| 9247 | ::std::vector<at::Tensor> unsafe_chunk(const at::Tensor & self, int64_t chunks, int64_t dim) { |
| 9248 | return wrapper_CompositeImplicitAutograd__unsafe_chunk(self, chunks, dim); |
| 9249 | } |
| 9250 | ::std::vector<at::Tensor> chunk(const at::Tensor & self, int64_t chunks, int64_t dim) { |
| 9251 | return wrapper_CompositeImplicitAutograd__chunk(self, chunks, dim); |
| 9252 | } |
| 9253 | ::std::vector<at::Tensor> tensor_split(const at::Tensor & self, int64_t sections, int64_t dim) { |
| 9254 | return wrapper_CompositeImplicitAutograd_sections_tensor_split(self, sections, dim); |
| 9255 | } |
| 9256 | ::std::vector<at::Tensor> tensor_split_symint(const at::Tensor & self, c10::SymInt sections, int64_t dim) { |
| 9257 | return wrapper_CompositeImplicitAutograd_sections_tensor_split(self, sections, dim); |
| 9258 | } |
| 9259 | ::std::vector<at::Tensor> tensor_split(const at::Tensor & self, at::IntArrayRef indices, int64_t dim) { |
| 9260 | return wrapper_CompositeImplicitAutograd_indices_tensor_split(self, c10::fromIntArrayRefSlow(indices), dim); |
| 9261 | } |
| 9262 | ::std::vector<at::Tensor> tensor_split_symint(const at::Tensor & self, c10::SymIntArrayRef indices, int64_t dim) { |
| 9263 | return wrapper_CompositeImplicitAutograd_indices_tensor_split(self, indices, dim); |
| 9264 | } |
| 9265 | ::std::vector<at::Tensor> tensor_split(const at::Tensor & self, const at::Tensor & tensor_indices_or_sections, int64_t dim) { |
| 9266 | return wrapper_CompositeImplicitAutograd_tensor_indices_or_sections_tensor_split(self, tensor_indices_or_sections, dim); |
| 9267 | } |
| 9268 | at::Tensor clip(const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) { |
| 9269 | return wrapper_CompositeImplicitAutograd__clip(self, min, max); |
| 9270 | } |
| 9271 | at::Tensor & clip_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) { |
| 9272 | return wrapper_CompositeImplicitAutograd_out_clip_out(self, min, max, out); |
| 9273 | } |
| 9274 | at::Tensor & clip_outf(const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max, at::Tensor & out) { |
| 9275 | return wrapper_CompositeImplicitAutograd_out_clip_out(self, min, max, out); |
| 9276 | } |
| 9277 | at::Tensor & clip_(at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) { |
| 9278 | return wrapper_CompositeImplicitAutograd__clip_(self, min, max); |
| 9279 | } |
| 9280 | at::Tensor clip(const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) { |
| 9281 | return wrapper_CompositeImplicitAutograd_Tensor_clip(self, min, max); |
| 9282 | } |
| 9283 | at::Tensor & clip_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) { |
| 9284 | return wrapper_CompositeImplicitAutograd_Tensor_out_clip_out(self, min, max, out); |
| 9285 | } |
| 9286 | at::Tensor & clip_outf(const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max, at::Tensor & out) { |
| 9287 | return wrapper_CompositeImplicitAutograd_Tensor_out_clip_out(self, min, max, out); |
| 9288 | } |
| 9289 | at::Tensor & clip_(at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) { |
| 9290 | return wrapper_CompositeImplicitAutograd_Tensor_clip_(self, min, max); |
| 9291 | } |
| 9292 | bool cudnn_is_acceptable(const at::Tensor & self) { |
| 9293 | return wrapper_CompositeImplicitAutograd__cudnn_is_acceptable(self); |
| 9294 | } |
| 9295 | at::Tensor contiguous(const at::Tensor & self, at::MemoryFormat memory_format) { |
| 9296 | return wrapper_CompositeImplicitAutograd__contiguous(self, memory_format); |
| 9297 | } |
| 9298 | at::Tensor _convolution(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) { |
| 9299 | return wrapper_CompositeImplicitAutograd_deprecated__convolution(input, weight, bias, stride, padding, dilation, transposed, output_padding, groups, benchmark, deterministic, cudnn_enabled); |
| 9300 | } |
| 9301 | at::Tensor _convolution_mode(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) { |
| 9302 | return wrapper_CompositeImplicitAutograd___convolution_mode(input, weight, bias, stride, padding, dilation, groups); |
| 9303 | } |
| 9304 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _convolution_double_backward(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) { |
| 9305 | return wrapper_CompositeImplicitAutograd___convolution_double_backward(ggI, ggW, ggb, gO, weight, self, stride, c10::fromIntArrayRefSlow(padding), dilation, transposed, c10::fromIntArrayRefSlow(output_padding), groups, output_mask); |
| 9306 | } |
| 9307 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _convolution_double_backward_symint(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) { |
| 9308 | return wrapper_CompositeImplicitAutograd___convolution_double_backward(ggI, ggW, ggb, gO, weight, self, stride, padding, dilation, transposed, output_padding, groups, output_mask); |
| 9309 | } |
| 9310 | at::Tensor conv1d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 9311 | return wrapper_CompositeImplicitAutograd__conv1d(input, weight, bias, stride, padding, dilation, groups); |
| 9312 | } |
| 9313 | at::Tensor conv2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 9314 | return wrapper_CompositeImplicitAutograd__conv2d(input, weight, bias, stride, padding, dilation, groups); |
| 9315 | } |
| 9316 | at::Tensor conv3d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, int64_t groups) { |
| 9317 | return wrapper_CompositeImplicitAutograd__conv3d(input, weight, bias, stride, padding, dilation, groups); |
| 9318 | } |
| 9319 | at::Tensor conv1d(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) { |
| 9320 | return wrapper_CompositeImplicitAutograd_padding_conv1d(input, weight, bias, stride, padding, dilation, groups); |
| 9321 | } |
| 9322 | at::Tensor conv2d(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) { |
| 9323 | return wrapper_CompositeImplicitAutograd_padding_conv2d(input, weight, bias, stride, padding, dilation, groups); |
| 9324 | } |
| 9325 | at::Tensor conv3d(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) { |
| 9326 | return wrapper_CompositeImplicitAutograd_padding_conv3d(input, weight, bias, stride, padding, dilation, groups); |
| 9327 | } |
| 9328 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> conv_tbc_backward(const at::Tensor & self, const at::Tensor & input, const at::Tensor & weight, const at::Tensor & bias, int64_t pad) { |
| 9329 | return wrapper_CompositeImplicitAutograd__conv_tbc_backward(self, input, weight, bias, pad); |
| 9330 | } |
| 9331 | at::Tensor conv_transpose1d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, int64_t groups, at::IntArrayRef dilation) { |
| 9332 | return wrapper_CompositeImplicitAutograd__conv_transpose1d(input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 9333 | } |
| 9334 | at::Tensor conv_transpose2d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, int64_t groups, at::IntArrayRef dilation) { |
| 9335 | return wrapper_CompositeImplicitAutograd_input_conv_transpose2d(input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 9336 | } |
| 9337 | at::Tensor conv_transpose3d(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef output_padding, int64_t groups, at::IntArrayRef dilation) { |
| 9338 | return wrapper_CompositeImplicitAutograd_input_conv_transpose3d(input, weight, bias, stride, padding, output_padding, groups, dilation); |
| 9339 | } |
| 9340 | at::Tensor cosine_embedding_loss(const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin, int64_t reduction) { |
| 9341 | return wrapper_CompositeImplicitAutograd__cosine_embedding_loss(input1, input2, target, margin, reduction); |
| 9342 | } |
| 9343 | at::Tensor cov(const at::Tensor & self, int64_t correction, const c10::optional<at::Tensor> & fweights, const c10::optional<at::Tensor> & aweights) { |
| 9344 | return wrapper_CompositeImplicitAutograd__cov(self, correction, fweights, aweights); |
| 9345 | } |
| 9346 | at::Tensor corrcoef(const at::Tensor & self) { |
| 9347 | return wrapper_CompositeImplicitAutograd__corrcoef(self); |
| 9348 | } |
| 9349 | ::std::tuple<at::Tensor,at::Tensor> cummax(const at::Tensor & self, at::Dimname dim) { |
| 9350 | return wrapper_CompositeImplicitAutograd_dimname_cummax(self, dim); |
| 9351 | } |
| 9352 | ::std::tuple<at::Tensor &,at::Tensor &> cummax_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim) { |
| 9353 | return wrapper_CompositeImplicitAutograd_dimname_out_cummax_out(self, dim, values, indices); |
| 9354 | } |
| 9355 | ::std::tuple<at::Tensor &,at::Tensor &> cummax_outf(const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) { |
| 9356 | return wrapper_CompositeImplicitAutograd_dimname_out_cummax_out(self, dim, values, indices); |
| 9357 | } |
| 9358 | ::std::tuple<at::Tensor,at::Tensor> cummin(const at::Tensor & self, at::Dimname dim) { |
| 9359 | return wrapper_CompositeImplicitAutograd_dimname_cummin(self, dim); |
| 9360 | } |
| 9361 | ::std::tuple<at::Tensor &,at::Tensor &> cummin_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim) { |
| 9362 | return wrapper_CompositeImplicitAutograd_dimname_out_cummin_out(self, dim, values, indices); |
| 9363 | } |
| 9364 | ::std::tuple<at::Tensor &,at::Tensor &> cummin_outf(const at::Tensor & self, at::Dimname dim, at::Tensor & values, at::Tensor & indices) { |
| 9365 | return wrapper_CompositeImplicitAutograd_dimname_out_cummin_out(self, dim, values, indices); |
| 9366 | } |
| 9367 | at::Tensor cummaxmin_backward(const at::Tensor & grad, const at::Tensor & input, const at::Tensor & indices, int64_t dim) { |
| 9368 | return wrapper_CompositeImplicitAutograd__cummaxmin_backward(grad, input, indices, dim); |
| 9369 | } |
| 9370 | at::Tensor cumprod(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 9371 | return wrapper_CompositeImplicitAutograd_dimname_cumprod(self, dim, dtype); |
| 9372 | } |
| 9373 | at::Tensor & cumprod_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 9374 | return wrapper_CompositeImplicitAutograd_dimname_out_cumprod_out(self, dim, dtype, out); |
| 9375 | } |
| 9376 | at::Tensor & cumprod_outf(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 9377 | return wrapper_CompositeImplicitAutograd_dimname_out_cumprod_out(self, dim, dtype, out); |
| 9378 | } |
| 9379 | at::Tensor & cumprod_(at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 9380 | return wrapper_CompositeImplicitAutograd_dimname_cumprod_(self, dim, dtype); |
| 9381 | } |
| 9382 | at::Tensor cumprod_backward(const at::Tensor & grad, const at::Tensor & input, int64_t dim, const at::Tensor & output) { |
| 9383 | return wrapper_CompositeImplicitAutograd__cumprod_backward(grad, input, dim, output); |
| 9384 | } |
| 9385 | at::Tensor cumsum(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 9386 | return wrapper_CompositeImplicitAutograd_dimname_cumsum(self, dim, dtype); |
| 9387 | } |
| 9388 | at::Tensor & cumsum_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 9389 | return wrapper_CompositeImplicitAutograd_dimname_out_cumsum_out(self, dim, dtype, out); |
| 9390 | } |
| 9391 | at::Tensor & cumsum_outf(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 9392 | return wrapper_CompositeImplicitAutograd_dimname_out_cumsum_out(self, dim, dtype, out); |
| 9393 | } |
| 9394 | at::Tensor & cumsum_(at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 9395 | return wrapper_CompositeImplicitAutograd_dimname_cumsum_(self, dim, dtype); |
| 9396 | } |
| 9397 | at::Tensor cumulative_trapezoid(const at::Tensor & y, const at::Tensor & x, int64_t dim) { |
| 9398 | return wrapper_CompositeImplicitAutograd_x_cumulative_trapezoid(y, x, dim); |
| 9399 | } |
| 9400 | at::Tensor cumulative_trapezoid(const at::Tensor & y, const at::Scalar & dx, int64_t dim) { |
| 9401 | return wrapper_CompositeImplicitAutograd_dx_cumulative_trapezoid(y, dx, dim); |
| 9402 | } |
| 9403 | at::Tensor ctc_loss(const at::Tensor & log_probs, const at::Tensor & targets, at::IntArrayRef input_lengths, at::IntArrayRef target_lengths, int64_t blank, int64_t reduction, bool zero_infinity) { |
| 9404 | return wrapper_CompositeImplicitAutograd_IntList_ctc_loss(log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity); |
| 9405 | } |
| 9406 | at::Tensor ctc_loss(const at::Tensor & log_probs, const at::Tensor & targets, const at::Tensor & input_lengths, const at::Tensor & target_lengths, int64_t blank, int64_t reduction, bool zero_infinity) { |
| 9407 | return wrapper_CompositeImplicitAutograd_Tensor_ctc_loss(log_probs, targets, input_lengths, target_lengths, blank, reduction, zero_infinity); |
| 9408 | } |
| 9409 | at::Tensor diagflat(const at::Tensor & self, int64_t offset) { |
| 9410 | return wrapper_CompositeImplicitAutograd__diagflat(self, offset); |
| 9411 | } |
| 9412 | at::Tensor linalg_diagonal(const at::Tensor & A, int64_t offset, int64_t dim1, int64_t dim2) { |
| 9413 | return wrapper_CompositeImplicitAutograd__linalg_diagonal(A, offset, dim1, dim2); |
| 9414 | } |
| 9415 | at::Tensor diagonal(const at::Tensor & self, at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset) { |
| 9416 | return wrapper_CompositeImplicitAutograd_Dimname_diagonal(self, outdim, dim1, dim2, offset); |
| 9417 | } |
| 9418 | at::Tensor & fill_diagonal_(at::Tensor & self, const at::Scalar & fill_value, bool wrap) { |
| 9419 | return wrapper_CompositeImplicitAutograd__fill_diagonal_(self, fill_value, wrap); |
| 9420 | } |
| 9421 | at::Tensor diff(const at::Tensor & self, int64_t n, int64_t dim, const c10::optional<at::Tensor> & prepend, const c10::optional<at::Tensor> & append) { |
| 9422 | return wrapper_CompositeImplicitAutograd__diff(self, n, dim, prepend, append); |
| 9423 | } |
| 9424 | at::Tensor & diff_out(at::Tensor & out, const at::Tensor & self, int64_t n, int64_t dim, const c10::optional<at::Tensor> & prepend, const c10::optional<at::Tensor> & append) { |
| 9425 | return wrapper_CompositeImplicitAutograd_out_diff_out(self, n, dim, prepend, append, out); |
| 9426 | } |
| 9427 | at::Tensor & diff_outf(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) { |
| 9428 | return wrapper_CompositeImplicitAutograd_out_diff_out(self, n, dim, prepend, append, out); |
| 9429 | } |
| 9430 | ::std::vector<at::Tensor> gradient(const at::Tensor & self, const c10::optional<at::Scalar> & spacing, c10::optional<int64_t> dim, int64_t edge_order) { |
| 9431 | return wrapper_CompositeImplicitAutograd_scalarint_gradient(self, spacing, dim, edge_order); |
| 9432 | } |
| 9433 | ::std::vector<at::Tensor> gradient(const at::Tensor & self, const at::Scalar & spacing, at::IntArrayRef dim, int64_t edge_order) { |
| 9434 | return wrapper_CompositeImplicitAutograd_scalararray_gradient(self, spacing, dim, edge_order); |
| 9435 | } |
| 9436 | ::std::vector<at::Tensor> gradient(const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order) { |
| 9437 | return wrapper_CompositeImplicitAutograd_array_gradient(self, dim, edge_order); |
| 9438 | } |
| 9439 | ::std::vector<at::Tensor> gradient(const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, c10::optional<int64_t> dim, int64_t edge_order) { |
| 9440 | return wrapper_CompositeImplicitAutograd_scalarrayint_gradient(self, spacing, dim, edge_order); |
| 9441 | } |
| 9442 | ::std::vector<at::Tensor> gradient(const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, at::IntArrayRef dim, int64_t edge_order) { |
| 9443 | return wrapper_CompositeImplicitAutograd_scalarrayarray_gradient(self, spacing, dim, edge_order); |
| 9444 | } |
| 9445 | ::std::vector<at::Tensor> gradient(const at::Tensor & self, at::TensorList spacing, c10::optional<int64_t> dim, int64_t edge_order) { |
| 9446 | return wrapper_CompositeImplicitAutograd_tensorarrayint_gradient(self, spacing, dim, edge_order); |
| 9447 | } |
| 9448 | ::std::vector<at::Tensor> gradient(const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order) { |
| 9449 | return wrapper_CompositeImplicitAutograd_tensorarray_gradient(self, spacing, dim, edge_order); |
| 9450 | } |
| 9451 | at::Tensor divide(const at::Tensor & self, const at::Tensor & other) { |
| 9452 | return wrapper_CompositeImplicitAutograd_Tensor_divide(self, other); |
| 9453 | } |
| 9454 | at::Tensor & divide_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9455 | return wrapper_CompositeImplicitAutograd_out_divide_out(self, other, out); |
| 9456 | } |
| 9457 | at::Tensor & divide_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9458 | return wrapper_CompositeImplicitAutograd_out_divide_out(self, other, out); |
| 9459 | } |
| 9460 | at::Tensor & divide_(at::Tensor & self, const at::Tensor & other) { |
| 9461 | return wrapper_CompositeImplicitAutograd_Tensor_divide_(self, other); |
| 9462 | } |
| 9463 | at::Tensor divide(const at::Tensor & self, const at::Scalar & other) { |
| 9464 | return wrapper_CompositeImplicitAutograd_Scalar_divide(self, other); |
| 9465 | } |
| 9466 | at::Tensor & divide_(at::Tensor & self, const at::Scalar & other) { |
| 9467 | return wrapper_CompositeImplicitAutograd_Scalar_divide_(self, other); |
| 9468 | } |
| 9469 | at::Tensor divide(const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 9470 | return wrapper_CompositeImplicitAutograd_Tensor_mode_divide(self, other, rounding_mode); |
| 9471 | } |
| 9472 | at::Tensor & divide_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 9473 | return wrapper_CompositeImplicitAutograd_out_mode_divide_out(self, other, rounding_mode, out); |
| 9474 | } |
| 9475 | at::Tensor & divide_outf(const at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode, at::Tensor & out) { |
| 9476 | return wrapper_CompositeImplicitAutograd_out_mode_divide_out(self, other, rounding_mode, out); |
| 9477 | } |
| 9478 | at::Tensor & divide_(at::Tensor & self, const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) { |
| 9479 | return wrapper_CompositeImplicitAutograd_Tensor_mode_divide_(self, other, rounding_mode); |
| 9480 | } |
| 9481 | at::Tensor divide(const at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 9482 | return wrapper_CompositeImplicitAutograd_Scalar_mode_divide(self, other, rounding_mode); |
| 9483 | } |
| 9484 | at::Tensor & divide_(at::Tensor & self, const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) { |
| 9485 | return wrapper_CompositeImplicitAutograd_Scalar_mode_divide_(self, other, rounding_mode); |
| 9486 | } |
| 9487 | at::Tensor true_divide(const at::Tensor & self, const at::Tensor & other) { |
| 9488 | return wrapper_CompositeImplicitAutograd_Tensor_true_divide(self, other); |
| 9489 | } |
| 9490 | at::Tensor & true_divide_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9491 | return wrapper_CompositeImplicitAutograd_out_true_divide_out(self, other, out); |
| 9492 | } |
| 9493 | at::Tensor & true_divide_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9494 | return wrapper_CompositeImplicitAutograd_out_true_divide_out(self, other, out); |
| 9495 | } |
| 9496 | at::Tensor & true_divide_(at::Tensor & self, const at::Tensor & other) { |
| 9497 | return wrapper_CompositeImplicitAutograd_Tensor_true_divide_(self, other); |
| 9498 | } |
| 9499 | at::Tensor true_divide(const at::Tensor & self, const at::Scalar & other) { |
| 9500 | return wrapper_CompositeImplicitAutograd_Scalar_true_divide(self, other); |
| 9501 | } |
| 9502 | at::Tensor & true_divide_(at::Tensor & self, const at::Scalar & other) { |
| 9503 | return wrapper_CompositeImplicitAutograd_Scalar_true_divide_(self, other); |
| 9504 | } |
| 9505 | at::Tensor einsum(c10::string_view equation, at::TensorList tensors, at::OptionalIntArrayRef path) { |
| 9506 | return wrapper_CompositeImplicitAutograd__einsum(equation, tensors, path); |
| 9507 | } |
| 9508 | at::Tensor embedding_backward(const at::Tensor & grad, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq, bool sparse) { |
| 9509 | return wrapper_CompositeImplicitAutograd__embedding_backward(grad, indices, num_weights, padding_idx, scale_grad_by_freq, sparse); |
| 9510 | } |
| 9511 | at::Tensor embedding_backward_symint(const at::Tensor & grad, const at::Tensor & indices, c10::SymInt num_weights, c10::SymInt padding_idx, bool scale_grad_by_freq, bool sparse) { |
| 9512 | return wrapper_CompositeImplicitAutograd__embedding_backward(grad, indices, num_weights, padding_idx, scale_grad_by_freq, sparse); |
| 9513 | } |
| 9514 | at::Tensor embedding_sparse_backward(const at::Tensor & grad, const at::Tensor & indices, int64_t num_weights, int64_t padding_idx, bool scale_grad_by_freq) { |
| 9515 | return wrapper_CompositeImplicitAutograd__embedding_sparse_backward(grad, indices, num_weights, padding_idx, scale_grad_by_freq); |
| 9516 | } |
| 9517 | ::std::tuple<at::Tensor,at::Tensor> _rowwise_prune(const at::Tensor & weight, const at::Tensor & mask, at::ScalarType compressed_indices_dtype) { |
| 9518 | return wrapper_CompositeImplicitAutograd___rowwise_prune(weight, mask, compressed_indices_dtype); |
| 9519 | } |
| 9520 | at::Tensor row_stack(at::TensorList tensors) { |
| 9521 | return wrapper_CompositeImplicitAutograd__row_stack(tensors); |
| 9522 | } |
| 9523 | at::Tensor & row_stack_out(at::Tensor & out, at::TensorList tensors) { |
| 9524 | return wrapper_CompositeImplicitAutograd_out_row_stack_out(tensors, out); |
| 9525 | } |
| 9526 | at::Tensor & row_stack_outf(at::TensorList tensors, at::Tensor & out) { |
| 9527 | return wrapper_CompositeImplicitAutograd_out_row_stack_out(tensors, out); |
| 9528 | } |
| 9529 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> embedding_bag(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) { |
| 9530 | return wrapper_CompositeImplicitAutograd__embedding_bag(weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset); |
| 9531 | } |
| 9532 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor> embedding_bag(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) { |
| 9533 | return wrapper_CompositeImplicitAutograd_padding_idx_embedding_bag(weight, indices, offsets, scale_grad_by_freq, mode, sparse, per_sample_weights, include_last_offset, padding_idx); |
| 9534 | } |
| 9535 | at::Tensor _embedding_bag_backward(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) { |
| 9536 | return wrapper_CompositeImplicitAutograd___embedding_bag_backward(grad, indices, offsets, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, sparse, per_sample_weights, padding_idx); |
| 9537 | } |
| 9538 | at::Tensor _embedding_bag_backward_symint(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) { |
| 9539 | return wrapper_CompositeImplicitAutograd___embedding_bag_backward(grad, indices, offsets, offset2bag, bag_size, maximum_indices, num_weights, scale_grad_by_freq, mode, sparse, per_sample_weights, padding_idx); |
| 9540 | } |
| 9541 | at::Tensor _embedding_bag_sparse_backward(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) { |
| 9542 | return wrapper_CompositeImplicitAutograd___embedding_bag_sparse_backward(grad, indices, offsets, offset2bag, bag_size, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx); |
| 9543 | } |
| 9544 | at::Tensor _embedding_bag_sparse_backward_symint(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) { |
| 9545 | return wrapper_CompositeImplicitAutograd___embedding_bag_sparse_backward(grad, indices, offsets, offset2bag, bag_size, num_weights, scale_grad_by_freq, mode, per_sample_weights, padding_idx); |
| 9546 | } |
| 9547 | at::Tensor & empty_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format) { |
| 9548 | return wrapper_CompositeImplicitAutograd_out_empty_out(c10::fromIntArrayRefSlow(size), memory_format, out); |
| 9549 | } |
| 9550 | at::Tensor & empty_outf(at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 9551 | return wrapper_CompositeImplicitAutograd_out_empty_out(c10::fromIntArrayRefSlow(size), memory_format, out); |
| 9552 | } |
| 9553 | at::Tensor & empty_symint_out(at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format) { |
| 9554 | return wrapper_CompositeImplicitAutograd_out_empty_out(size, memory_format, out); |
| 9555 | } |
| 9556 | at::Tensor & empty_symint_outf(c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format, at::Tensor & out) { |
| 9557 | return wrapper_CompositeImplicitAutograd_out_empty_out(size, memory_format, out); |
| 9558 | } |
| 9559 | at::Tensor expand_as(const at::Tensor & self, const at::Tensor & other) { |
| 9560 | return wrapper_CompositeImplicitAutograd__expand_as(self, other); |
| 9561 | } |
| 9562 | at::Tensor flatten(const at::Tensor & self, int64_t start_dim, int64_t end_dim) { |
| 9563 | return wrapper_CompositeImplicitAutograd_using_ints_flatten(self, start_dim, end_dim); |
| 9564 | } |
| 9565 | at::Tensor flatten(const at::Tensor & self, int64_t start_dim, int64_t end_dim, at::Dimname out_dim) { |
| 9566 | return wrapper_CompositeImplicitAutograd_named_out_dim_flatten(self, start_dim, end_dim, out_dim); |
| 9567 | } |
| 9568 | at::Tensor flatten(const at::Tensor & self, at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim) { |
| 9569 | return wrapper_CompositeImplicitAutograd_using_names_flatten(self, start_dim, end_dim, out_dim); |
| 9570 | } |
| 9571 | at::Tensor flatten(const at::Tensor & self, at::DimnameList dims, at::Dimname out_dim) { |
| 9572 | return wrapper_CompositeImplicitAutograd_DimnameList_flatten(self, dims, out_dim); |
| 9573 | } |
| 9574 | at::Tensor unflatten(const at::Tensor & self, int64_t dim, at::IntArrayRef sizes) { |
| 9575 | return wrapper_CompositeImplicitAutograd_int_unflatten(self, dim, sizes); |
| 9576 | } |
| 9577 | at::Tensor unflatten(const at::Tensor & self, at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names) { |
| 9578 | return wrapper_CompositeImplicitAutograd_Dimname_unflatten(self, dim, sizes, names); |
| 9579 | } |
| 9580 | at::Tensor floor_divide(const at::Tensor & self, const at::Scalar & other) { |
| 9581 | return wrapper_CompositeImplicitAutograd_Scalar_floor_divide(self, other); |
| 9582 | } |
| 9583 | at::Tensor & floor_divide_(at::Tensor & self, const at::Scalar & other) { |
| 9584 | return wrapper_CompositeImplicitAutograd_Scalar_floor_divide_(self, other); |
| 9585 | } |
| 9586 | at::Tensor grid_sampler(const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 9587 | return wrapper_CompositeImplicitAutograd__grid_sampler(input, grid, interpolation_mode, padding_mode, align_corners); |
| 9588 | } |
| 9589 | ::std::tuple<at::Tensor,at::Tensor> _grid_sampler_2d_cpu_fallback_backward(const at::Tensor & grad_output, const at::Tensor & input, const at::Tensor & grid, int64_t interpolation_mode, int64_t padding_mode, bool align_corners) { |
| 9590 | return wrapper_CompositeImplicitAutograd___grid_sampler_2d_cpu_fallback_backward(grad_output, input, grid, interpolation_mode, padding_mode, align_corners); |
| 9591 | } |
| 9592 | at::Tensor hinge_embedding_loss(const at::Tensor & self, const at::Tensor & target, double margin, int64_t reduction) { |
| 9593 | return wrapper_CompositeImplicitAutograd__hinge_embedding_loss(self, target, margin, reduction); |
| 9594 | } |
| 9595 | at::Tensor group_norm(const at::Tensor & input, int64_t num_groups, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps, bool cudnn_enabled) { |
| 9596 | return wrapper_CompositeImplicitAutograd__group_norm(input, num_groups, weight, bias, eps, cudnn_enabled); |
| 9597 | } |
| 9598 | int64_t _cufft_get_plan_cache_size(int64_t device_index) { |
| 9599 | return wrapper_CompositeImplicitAutograd___cufft_get_plan_cache_size(device_index); |
| 9600 | } |
| 9601 | int64_t _cufft_get_plan_cache_max_size(int64_t device_index) { |
| 9602 | return wrapper_CompositeImplicitAutograd___cufft_get_plan_cache_max_size(device_index); |
| 9603 | } |
| 9604 | void _cufft_set_plan_cache_max_size(int64_t device_index, int64_t max_size) { |
| 9605 | return wrapper_CompositeImplicitAutograd___cufft_set_plan_cache_max_size(device_index, max_size); |
| 9606 | } |
| 9607 | void _cufft_clear_plan_cache(int64_t device_index) { |
| 9608 | return wrapper_CompositeImplicitAutograd___cufft_clear_plan_cache(device_index); |
| 9609 | } |
| 9610 | at::Tensor & index_copy_(at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) { |
| 9611 | return wrapper_CompositeImplicitAutograd_dimname_index_copy_(self, dim, index, source); |
| 9612 | } |
| 9613 | at::Tensor index_copy(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source) { |
| 9614 | return wrapper_CompositeImplicitAutograd_dimname_index_copy(self, dim, index, source); |
| 9615 | } |
| 9616 | at::Tensor instance_norm(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) { |
| 9617 | return wrapper_CompositeImplicitAutograd__instance_norm(input, weight, bias, running_mean, running_var, use_input_stats, momentum, eps, cudnn_enabled); |
| 9618 | } |
| 9619 | at::Tensor isclose(const at::Tensor & self, const at::Tensor & other, double rtol, double atol, bool equal_nan) { |
| 9620 | return wrapper_CompositeImplicitAutograd__isclose(self, other, rtol, atol, equal_nan); |
| 9621 | } |
| 9622 | bool is_distributed(const at::Tensor & self) { |
| 9623 | return wrapper_CompositeImplicitAutograd__is_distributed(self); |
| 9624 | } |
| 9625 | bool is_floating_point(const at::Tensor & self) { |
| 9626 | return wrapper_CompositeImplicitAutograd__is_floating_point(self); |
| 9627 | } |
| 9628 | bool is_complex(const at::Tensor & self) { |
| 9629 | return wrapper_CompositeImplicitAutograd__is_complex(self); |
| 9630 | } |
| 9631 | bool is_conj(const at::Tensor & self) { |
| 9632 | return wrapper_CompositeImplicitAutograd__is_conj(self); |
| 9633 | } |
| 9634 | bool _is_zerotensor(const at::Tensor & self) { |
| 9635 | return wrapper_CompositeImplicitAutograd___is_zerotensor(self); |
| 9636 | } |
| 9637 | bool is_neg(const at::Tensor & self) { |
| 9638 | return wrapper_CompositeImplicitAutograd__is_neg(self); |
| 9639 | } |
| 9640 | at::Tensor isreal(const at::Tensor & self) { |
| 9641 | return wrapper_CompositeImplicitAutograd__isreal(self); |
| 9642 | } |
| 9643 | bool is_nonzero(const at::Tensor & self) { |
| 9644 | return wrapper_CompositeImplicitAutograd__is_nonzero(self); |
| 9645 | } |
| 9646 | bool is_signed(const at::Tensor & self) { |
| 9647 | return wrapper_CompositeImplicitAutograd__is_signed(self); |
| 9648 | } |
| 9649 | bool is_inference(const at::Tensor & self) { |
| 9650 | return wrapper_CompositeImplicitAutograd__is_inference(self); |
| 9651 | } |
| 9652 | at::Tensor kl_div(const at::Tensor & self, const at::Tensor & target, int64_t reduction, bool log_target) { |
| 9653 | return wrapper_CompositeImplicitAutograd__kl_div(self, target, reduction, log_target); |
| 9654 | } |
| 9655 | at::Tensor kron(const at::Tensor & self, const at::Tensor & other) { |
| 9656 | return wrapper_CompositeImplicitAutograd__kron(self, other); |
| 9657 | } |
| 9658 | at::Tensor & kron_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9659 | return wrapper_CompositeImplicitAutograd_out_kron_out(self, other, out); |
| 9660 | } |
| 9661 | at::Tensor & kron_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9662 | return wrapper_CompositeImplicitAutograd_out_kron_out(self, other, out); |
| 9663 | } |
| 9664 | ::std::tuple<at::Tensor,at::Tensor> kthvalue(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim) { |
| 9665 | return wrapper_CompositeImplicitAutograd_dimname_kthvalue(self, k, dim, keepdim); |
| 9666 | } |
| 9667 | ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim) { |
| 9668 | return wrapper_CompositeImplicitAutograd_dimname_out_kthvalue_out(self, k, dim, keepdim, values, indices); |
| 9669 | } |
| 9670 | ::std::tuple<at::Tensor &,at::Tensor &> kthvalue_outf(const at::Tensor & self, int64_t k, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 9671 | return wrapper_CompositeImplicitAutograd_dimname_out_kthvalue_out(self, k, dim, keepdim, values, indices); |
| 9672 | } |
| 9673 | at::Tensor layer_norm(const at::Tensor & input, at::IntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps, bool cudnn_enable) { |
| 9674 | return wrapper_CompositeImplicitAutograd__layer_norm(input, c10::fromIntArrayRefSlow(normalized_shape), weight, bias, eps, cudnn_enable); |
| 9675 | } |
| 9676 | at::Tensor layer_norm_symint(const at::Tensor & input, c10::SymIntArrayRef normalized_shape, const c10::optional<at::Tensor> & weight, const c10::optional<at::Tensor> & bias, double eps, bool cudnn_enable) { |
| 9677 | return wrapper_CompositeImplicitAutograd__layer_norm(input, normalized_shape, weight, bias, eps, cudnn_enable); |
| 9678 | } |
| 9679 | at::Tensor linear(const at::Tensor & input, const at::Tensor & weight, const c10::optional<at::Tensor> & bias) { |
| 9680 | return wrapper_CompositeImplicitAutograd__linear(input, weight, bias); |
| 9681 | } |
| 9682 | at::Tensor fbgemm_linear_int8_weight_fp32_activation(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) { |
| 9683 | return wrapper_CompositeImplicitAutograd__fbgemm_linear_int8_weight_fp32_activation(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); |
| 9684 | } |
| 9685 | at::Tensor fbgemm_linear_int8_weight(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) { |
| 9686 | return wrapper_CompositeImplicitAutograd__fbgemm_linear_int8_weight(input, weight, packed, col_offsets, weight_scale, weight_zero_point, bias); |
| 9687 | } |
| 9688 | ::std::tuple<at::Tensor,at::Tensor,double,int64_t> fbgemm_linear_quantize_weight(const at::Tensor & input) { |
| 9689 | return wrapper_CompositeImplicitAutograd__fbgemm_linear_quantize_weight(input); |
| 9690 | } |
| 9691 | at::Tensor fbgemm_pack_gemm_matrix_fp16(const at::Tensor & input) { |
| 9692 | return wrapper_CompositeImplicitAutograd__fbgemm_pack_gemm_matrix_fp16(input); |
| 9693 | } |
| 9694 | at::Tensor fbgemm_linear_fp16_weight_fp32_activation(const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) { |
| 9695 | return wrapper_CompositeImplicitAutograd__fbgemm_linear_fp16_weight_fp32_activation(input, packed_weight, bias); |
| 9696 | } |
| 9697 | at::Tensor fbgemm_linear_fp16_weight(const at::Tensor & input, const at::Tensor & packed_weight, const at::Tensor & bias) { |
| 9698 | return wrapper_CompositeImplicitAutograd__fbgemm_linear_fp16_weight(input, packed_weight, bias); |
| 9699 | } |
| 9700 | at::Tensor fbgemm_pack_quantized_matrix(const at::Tensor & input) { |
| 9701 | return wrapper_CompositeImplicitAutograd__fbgemm_pack_quantized_matrix(input); |
| 9702 | } |
| 9703 | at::Tensor fbgemm_pack_quantized_matrix(const at::Tensor & input, int64_t K, int64_t N) { |
| 9704 | return wrapper_CompositeImplicitAutograd_KN_fbgemm_pack_quantized_matrix(input, K, N); |
| 9705 | } |
| 9706 | at::Tensor ldexp(const at::Tensor & self, const at::Tensor & other) { |
| 9707 | return wrapper_CompositeImplicitAutograd_Tensor_ldexp(self, other); |
| 9708 | } |
| 9709 | at::Tensor & ldexp_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9710 | return wrapper_CompositeImplicitAutograd_out_ldexp_out(self, other, out); |
| 9711 | } |
| 9712 | at::Tensor & ldexp_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9713 | return wrapper_CompositeImplicitAutograd_out_ldexp_out(self, other, out); |
| 9714 | } |
| 9715 | at::Tensor & ldexp_(at::Tensor & self, const at::Tensor & other) { |
| 9716 | return wrapper_CompositeImplicitAutograd__ldexp_(self, other); |
| 9717 | } |
| 9718 | at::Tensor log_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 9719 | return wrapper_CompositeImplicitAutograd_int_log_softmax(self, dim, dtype); |
| 9720 | } |
| 9721 | at::Tensor log_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 9722 | return wrapper_CompositeImplicitAutograd_Dimname_log_softmax(self, dim, dtype); |
| 9723 | } |
| 9724 | at::Tensor logcumsumexp(const at::Tensor & self, at::Dimname dim) { |
| 9725 | return wrapper_CompositeImplicitAutograd_dimname_logcumsumexp(self, dim); |
| 9726 | } |
| 9727 | at::Tensor & logcumsumexp_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim) { |
| 9728 | return wrapper_CompositeImplicitAutograd_dimname_out_logcumsumexp_out(self, dim, out); |
| 9729 | } |
| 9730 | at::Tensor & logcumsumexp_outf(const at::Tensor & self, at::Dimname dim, at::Tensor & out) { |
| 9731 | return wrapper_CompositeImplicitAutograd_dimname_out_logcumsumexp_out(self, dim, out); |
| 9732 | } |
| 9733 | at::Tensor logsumexp(const at::Tensor & self, at::DimnameList dim, bool keepdim) { |
| 9734 | return wrapper_CompositeImplicitAutograd_names_logsumexp(self, dim, keepdim); |
| 9735 | } |
| 9736 | at::Tensor & logsumexp_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim) { |
| 9737 | return wrapper_CompositeImplicitAutograd_names_out_logsumexp_out(self, dim, keepdim, out); |
| 9738 | } |
| 9739 | at::Tensor & logsumexp_outf(const at::Tensor & self, at::DimnameList dim, bool keepdim, at::Tensor & out) { |
| 9740 | return wrapper_CompositeImplicitAutograd_names_out_logsumexp_out(self, dim, keepdim, out); |
| 9741 | } |
| 9742 | at::Tensor margin_ranking_loss(const at::Tensor & input1, const at::Tensor & input2, const at::Tensor & target, double margin, int64_t reduction) { |
| 9743 | return wrapper_CompositeImplicitAutograd__margin_ranking_loss(input1, input2, target, margin, reduction); |
| 9744 | } |
| 9745 | at::Tensor matmul(const at::Tensor & self, const at::Tensor & other) { |
| 9746 | return wrapper_CompositeImplicitAutograd__matmul(self, other); |
| 9747 | } |
| 9748 | at::Tensor & matmul_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9749 | return wrapper_CompositeImplicitAutograd_out_matmul_out(self, other, out); |
| 9750 | } |
| 9751 | at::Tensor & matmul_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9752 | return wrapper_CompositeImplicitAutograd_out_matmul_out(self, other, out); |
| 9753 | } |
| 9754 | at::Tensor matrix_power(const at::Tensor & self, int64_t n) { |
| 9755 | return wrapper_CompositeImplicitAutograd__matrix_power(self, n); |
| 9756 | } |
| 9757 | at::Tensor & matrix_power_out(at::Tensor & out, const at::Tensor & self, int64_t n) { |
| 9758 | return wrapper_CompositeImplicitAutograd_out_matrix_power_out(self, n, out); |
| 9759 | } |
| 9760 | at::Tensor & matrix_power_outf(const at::Tensor & self, int64_t n, at::Tensor & out) { |
| 9761 | return wrapper_CompositeImplicitAutograd_out_matrix_power_out(self, n, out); |
| 9762 | } |
| 9763 | at::Tensor matrix_exp(const at::Tensor & self) { |
| 9764 | return wrapper_CompositeImplicitAutograd__matrix_exp(self); |
| 9765 | } |
| 9766 | at::Tensor matrix_exp_backward(const at::Tensor & self, const at::Tensor & grad) { |
| 9767 | return wrapper_CompositeImplicitAutograd__matrix_exp_backward(self, grad); |
| 9768 | } |
| 9769 | ::std::tuple<at::Tensor,at::Tensor> max(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9770 | return wrapper_CompositeImplicitAutograd_names_dim_max(self, dim, keepdim); |
| 9771 | } |
| 9772 | ::std::tuple<at::Tensor &,at::Tensor &> max_out(at::Tensor & max, at::Tensor & max_values, const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9773 | return wrapper_CompositeImplicitAutograd_names_dim_max_max_out(self, dim, keepdim, max, max_values); |
| 9774 | } |
| 9775 | ::std::tuple<at::Tensor &,at::Tensor &> max_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & max, at::Tensor & max_values) { |
| 9776 | return wrapper_CompositeImplicitAutograd_names_dim_max_max_out(self, dim, keepdim, max, max_values); |
| 9777 | } |
| 9778 | at::Tensor value_selecting_reduction_backward(const at::Tensor & grad, int64_t dim, const at::Tensor & indices, at::IntArrayRef sizes, bool keepdim) { |
| 9779 | return wrapper_CompositeImplicitAutograd__value_selecting_reduction_backward(grad, dim, indices, c10::fromIntArrayRefSlow(sizes), keepdim); |
| 9780 | } |
| 9781 | at::Tensor value_selecting_reduction_backward_symint(const at::Tensor & grad, int64_t dim, const at::Tensor & indices, c10::SymIntArrayRef sizes, bool keepdim) { |
| 9782 | return wrapper_CompositeImplicitAutograd__value_selecting_reduction_backward(grad, dim, indices, sizes, keepdim); |
| 9783 | } |
| 9784 | ::std::tuple<at::Tensor,at::Tensor> max_pool1d_with_indices(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 9785 | return wrapper_CompositeImplicitAutograd__max_pool1d_with_indices(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 9786 | } |
| 9787 | at::Tensor max_pool1d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 9788 | return wrapper_CompositeImplicitAutograd__max_pool1d(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 9789 | } |
| 9790 | at::Tensor max_pool2d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 9791 | return wrapper_CompositeImplicitAutograd__max_pool2d(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 9792 | } |
| 9793 | at::Tensor max_pool3d(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode) { |
| 9794 | return wrapper_CompositeImplicitAutograd__max_pool3d(self, kernel_size, stride, padding, dilation, ceil_mode); |
| 9795 | } |
| 9796 | at::Tensor mean(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 9797 | return wrapper_CompositeImplicitAutograd_names_dim_mean(self, dim, keepdim, dtype); |
| 9798 | } |
| 9799 | at::Tensor & mean_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 9800 | return wrapper_CompositeImplicitAutograd_names_out_mean_out(self, dim, keepdim, dtype, out); |
| 9801 | } |
| 9802 | at::Tensor & mean_outf(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 9803 | return wrapper_CompositeImplicitAutograd_names_out_mean_out(self, dim, keepdim, dtype, out); |
| 9804 | } |
| 9805 | at::Tensor nanmean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 9806 | return wrapper_CompositeImplicitAutograd__nanmean(self, dim, keepdim, dtype); |
| 9807 | } |
| 9808 | at::Tensor & nanmean_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 9809 | return wrapper_CompositeImplicitAutograd_out_nanmean_out(self, dim, keepdim, dtype, out); |
| 9810 | } |
| 9811 | at::Tensor & nanmean_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 9812 | return wrapper_CompositeImplicitAutograd_out_nanmean_out(self, dim, keepdim, dtype, out); |
| 9813 | } |
| 9814 | ::std::tuple<at::Tensor,at::Tensor> median(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9815 | return wrapper_CompositeImplicitAutograd_names_dim_median(self, dim, keepdim); |
| 9816 | } |
| 9817 | ::std::tuple<at::Tensor &,at::Tensor &> median_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9818 | return wrapper_CompositeImplicitAutograd_names_dim_values_median_out(self, dim, keepdim, values, indices); |
| 9819 | } |
| 9820 | ::std::tuple<at::Tensor &,at::Tensor &> median_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 9821 | return wrapper_CompositeImplicitAutograd_names_dim_values_median_out(self, dim, keepdim, values, indices); |
| 9822 | } |
| 9823 | ::std::tuple<at::Tensor,at::Tensor> nanmedian(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9824 | return wrapper_CompositeImplicitAutograd_names_dim_nanmedian(self, dim, keepdim); |
| 9825 | } |
| 9826 | ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9827 | return wrapper_CompositeImplicitAutograd_names_dim_values_nanmedian_out(self, dim, keepdim, values, indices); |
| 9828 | } |
| 9829 | ::std::tuple<at::Tensor &,at::Tensor &> nanmedian_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 9830 | return wrapper_CompositeImplicitAutograd_names_dim_values_nanmedian_out(self, dim, keepdim, values, indices); |
| 9831 | } |
| 9832 | ::std::tuple<at::Tensor,at::Tensor> min(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9833 | return wrapper_CompositeImplicitAutograd_names_dim_min(self, dim, keepdim); |
| 9834 | } |
| 9835 | ::std::tuple<at::Tensor &,at::Tensor &> min_out(at::Tensor & min, at::Tensor & min_indices, const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9836 | return wrapper_CompositeImplicitAutograd_names_dim_min_min_out(self, dim, keepdim, min, min_indices); |
| 9837 | } |
| 9838 | ::std::tuple<at::Tensor &,at::Tensor &> min_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & min, at::Tensor & min_indices) { |
| 9839 | return wrapper_CompositeImplicitAutograd_names_dim_min_min_out(self, dim, keepdim, min, min_indices); |
| 9840 | } |
| 9841 | at::Tensor _sparse_mm(const at::Tensor & sparse, const at::Tensor & dense) { |
| 9842 | return wrapper_CompositeImplicitAutograd___sparse_mm(sparse, dense); |
| 9843 | } |
| 9844 | at::Tensor _sparse_mm(const at::Tensor & sparse, const at::Tensor & dense, c10::string_view reduce) { |
| 9845 | return wrapper_CompositeImplicitAutograd_reduce__sparse_mm(sparse, dense, reduce); |
| 9846 | } |
| 9847 | ::std::tuple<at::Tensor,at::Tensor> mode(const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9848 | return wrapper_CompositeImplicitAutograd_dimname_mode(self, dim, keepdim); |
| 9849 | } |
| 9850 | ::std::tuple<at::Tensor &,at::Tensor &> mode_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool keepdim) { |
| 9851 | return wrapper_CompositeImplicitAutograd_dimname_out_mode_out(self, dim, keepdim, values, indices); |
| 9852 | } |
| 9853 | ::std::tuple<at::Tensor &,at::Tensor &> mode_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, at::Tensor & values, at::Tensor & indices) { |
| 9854 | return wrapper_CompositeImplicitAutograd_dimname_out_mode_out(self, dim, keepdim, values, indices); |
| 9855 | } |
| 9856 | at::Tensor multiply(const at::Tensor & self, const at::Tensor & other) { |
| 9857 | return wrapper_CompositeImplicitAutograd_Tensor_multiply(self, other); |
| 9858 | } |
| 9859 | at::Tensor & multiply_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 9860 | return wrapper_CompositeImplicitAutograd_out_multiply_out(self, other, out); |
| 9861 | } |
| 9862 | at::Tensor & multiply_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 9863 | return wrapper_CompositeImplicitAutograd_out_multiply_out(self, other, out); |
| 9864 | } |
| 9865 | at::Tensor & multiply_(at::Tensor & self, const at::Tensor & other) { |
| 9866 | return wrapper_CompositeImplicitAutograd_Tensor_multiply_(self, other); |
| 9867 | } |
| 9868 | at::Tensor multiply(const at::Tensor & self, const at::Scalar & other) { |
| 9869 | return wrapper_CompositeImplicitAutograd_Scalar_multiply(self, other); |
| 9870 | } |
| 9871 | at::Tensor & multiply_(at::Tensor & self, const at::Scalar & other) { |
| 9872 | return wrapper_CompositeImplicitAutograd_Scalar_multiply_(self, other); |
| 9873 | } |
| 9874 | at::Tensor narrow(const at::Tensor & self, int64_t dim, int64_t start, int64_t length) { |
| 9875 | return wrapper_CompositeImplicitAutograd__narrow(self, dim, start, length); |
| 9876 | } |
| 9877 | at::Tensor narrow_symint(const at::Tensor & self, int64_t dim, c10::SymInt start, c10::SymInt length) { |
| 9878 | return wrapper_CompositeImplicitAutograd__narrow(self, dim, start, length); |
| 9879 | } |
| 9880 | at::Tensor narrow(const at::Tensor & self, int64_t dim, const at::Tensor & start, int64_t length) { |
| 9881 | return wrapper_CompositeImplicitAutograd_Tensor_narrow(self, dim, start, length); |
| 9882 | } |
| 9883 | at::Tensor narrow_symint(const at::Tensor & self, int64_t dim, const at::Tensor & start, c10::SymInt length) { |
| 9884 | return wrapper_CompositeImplicitAutograd_Tensor_narrow(self, dim, start, length); |
| 9885 | } |
| 9886 | bool is_vulkan_available() { |
| 9887 | return wrapper_CompositeImplicitAutograd__is_vulkan_available(); |
| 9888 | } |
| 9889 | bool _nnpack_available() { |
| 9890 | return wrapper_CompositeImplicitAutograd___nnpack_available(); |
| 9891 | } |
| 9892 | at::Tensor pairwise_distance(const at::Tensor & x1, const at::Tensor & x2, double p, double eps, bool keepdim) { |
| 9893 | return wrapper_CompositeImplicitAutograd__pairwise_distance(x1, x2, p, eps, keepdim); |
| 9894 | } |
| 9895 | at::Tensor cdist(const at::Tensor & x1, const at::Tensor & x2, double p, c10::optional<int64_t> compute_mode) { |
| 9896 | return wrapper_CompositeImplicitAutograd__cdist(x1, x2, p, compute_mode); |
| 9897 | } |
| 9898 | at::Tensor pdist(const at::Tensor & self, double p) { |
| 9899 | return wrapper_CompositeImplicitAutograd__pdist(self, p); |
| 9900 | } |
| 9901 | at::Tensor cosine_similarity(const at::Tensor & x1, const at::Tensor & x2, int64_t dim, double eps) { |
| 9902 | return wrapper_CompositeImplicitAutograd__cosine_similarity(x1, x2, dim, eps); |
| 9903 | } |
| 9904 | at::Tensor movedim(const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) { |
| 9905 | return wrapper_CompositeImplicitAutograd_intlist_movedim(self, source, destination); |
| 9906 | } |
| 9907 | at::Tensor movedim(const at::Tensor & self, int64_t source, int64_t destination) { |
| 9908 | return wrapper_CompositeImplicitAutograd_int_movedim(self, source, destination); |
| 9909 | } |
| 9910 | at::Tensor moveaxis(const at::Tensor & self, at::IntArrayRef source, at::IntArrayRef destination) { |
| 9911 | return wrapper_CompositeImplicitAutograd_intlist_moveaxis(self, source, destination); |
| 9912 | } |
| 9913 | at::Tensor moveaxis(const at::Tensor & self, int64_t source, int64_t destination) { |
| 9914 | return wrapper_CompositeImplicitAutograd_int_moveaxis(self, source, destination); |
| 9915 | } |
| 9916 | at::Tensor numpy_T(const at::Tensor & self) { |
| 9917 | return wrapper_CompositeImplicitAutograd__numpy_T(self); |
| 9918 | } |
| 9919 | at::Tensor matrix_H(const at::Tensor & self) { |
| 9920 | return wrapper_CompositeImplicitAutograd__matrix_H(self); |
| 9921 | } |
| 9922 | at::Tensor mT(const at::Tensor & self) { |
| 9923 | return wrapper_CompositeImplicitAutograd__mT(self); |
| 9924 | } |
| 9925 | at::Tensor mH(const at::Tensor & self) { |
| 9926 | return wrapper_CompositeImplicitAutograd__mH(self); |
| 9927 | } |
| 9928 | at::Tensor adjoint(const at::Tensor & self) { |
| 9929 | return wrapper_CompositeImplicitAutograd__adjoint(self); |
| 9930 | } |
| 9931 | at::Tensor native_channel_shuffle(const at::Tensor & self, int64_t groups) { |
| 9932 | return wrapper_CompositeImplicitAutograd__native_channel_shuffle(self, groups); |
| 9933 | } |
| 9934 | at::Tensor pin_memory(const at::Tensor & self, c10::optional<at::Device> device) { |
| 9935 | return wrapper_CompositeImplicitAutograd__pin_memory(self, device); |
| 9936 | } |
| 9937 | at::Tensor pinverse(const at::Tensor & self, double rcond) { |
| 9938 | return wrapper_CompositeImplicitAutograd__pinverse(self, rcond); |
| 9939 | } |
| 9940 | at::Tensor poisson_nll_loss(const at::Tensor & input, const at::Tensor & target, bool log_input, bool full, double eps, int64_t reduction) { |
| 9941 | return wrapper_CompositeImplicitAutograd__poisson_nll_loss(input, target, log_input, full, eps, reduction); |
| 9942 | } |
| 9943 | at::Tensor & rand_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator) { |
| 9944 | return wrapper_CompositeImplicitAutograd_generator_out_rand_out(c10::fromIntArrayRefSlow(size), generator, out); |
| 9945 | } |
| 9946 | at::Tensor & rand_outf(at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 9947 | return wrapper_CompositeImplicitAutograd_generator_out_rand_out(c10::fromIntArrayRefSlow(size), generator, out); |
| 9948 | } |
| 9949 | at::Tensor & rand_symint_out(at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::Generator> generator) { |
| 9950 | return wrapper_CompositeImplicitAutograd_generator_out_rand_out(size, generator, out); |
| 9951 | } |
| 9952 | at::Tensor & rand_symint_outf(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 9953 | return wrapper_CompositeImplicitAutograd_generator_out_rand_out(size, generator, out); |
| 9954 | } |
| 9955 | at::Tensor & randn_out(at::Tensor & out, at::IntArrayRef size) { |
| 9956 | return wrapper_CompositeImplicitAutograd_out_randn_out(c10::fromIntArrayRefSlow(size), out); |
| 9957 | } |
| 9958 | at::Tensor & randn_outf(at::IntArrayRef size, at::Tensor & out) { |
| 9959 | return wrapper_CompositeImplicitAutograd_out_randn_out(c10::fromIntArrayRefSlow(size), out); |
| 9960 | } |
| 9961 | at::Tensor & randn_symint_out(at::Tensor & out, c10::SymIntArrayRef size) { |
| 9962 | return wrapper_CompositeImplicitAutograd_out_randn_out(size, out); |
| 9963 | } |
| 9964 | at::Tensor & randn_symint_outf(c10::SymIntArrayRef size, at::Tensor & out) { |
| 9965 | return wrapper_CompositeImplicitAutograd_out_randn_out(size, out); |
| 9966 | } |
| 9967 | at::Tensor & randn_out(at::Tensor & out, at::IntArrayRef size, c10::optional<at::Generator> generator) { |
| 9968 | return wrapper_CompositeImplicitAutograd_generator_out_randn_out(c10::fromIntArrayRefSlow(size), generator, out); |
| 9969 | } |
| 9970 | at::Tensor & randn_outf(at::IntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 9971 | return wrapper_CompositeImplicitAutograd_generator_out_randn_out(c10::fromIntArrayRefSlow(size), generator, out); |
| 9972 | } |
| 9973 | at::Tensor & randn_symint_out(at::Tensor & out, c10::SymIntArrayRef size, c10::optional<at::Generator> generator) { |
| 9974 | return wrapper_CompositeImplicitAutograd_generator_out_randn_out(size, generator, out); |
| 9975 | } |
| 9976 | at::Tensor & randn_symint_outf(c10::SymIntArrayRef size, c10::optional<at::Generator> generator, at::Tensor & out) { |
| 9977 | return wrapper_CompositeImplicitAutograd_generator_out_randn_out(size, generator, out); |
| 9978 | } |
| 9979 | at::Tensor ravel(const at::Tensor & self) { |
| 9980 | return wrapper_CompositeImplicitAutograd__ravel(self); |
| 9981 | } |
| 9982 | at::Tensor negative(const at::Tensor & self) { |
| 9983 | return wrapper_CompositeImplicitAutograd__negative(self); |
| 9984 | } |
| 9985 | at::Tensor & negative_out(at::Tensor & out, const at::Tensor & self) { |
| 9986 | return wrapper_CompositeImplicitAutograd_out_negative_out(self, out); |
| 9987 | } |
| 9988 | at::Tensor & negative_outf(const at::Tensor & self, at::Tensor & out) { |
| 9989 | return wrapper_CompositeImplicitAutograd_out_negative_out(self, out); |
| 9990 | } |
| 9991 | at::Tensor & negative_(at::Tensor & self) { |
| 9992 | return wrapper_CompositeImplicitAutograd__negative_(self); |
| 9993 | } |
| 9994 | at::Tensor repeat_interleave(const at::Tensor & self, const at::Tensor & repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) { |
| 9995 | return wrapper_CompositeImplicitAutograd_self_Tensor_repeat_interleave(self, repeats, dim, output_size); |
| 9996 | } |
| 9997 | at::Tensor repeat_interleave(const at::Tensor & self, int64_t repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) { |
| 9998 | return wrapper_CompositeImplicitAutograd_self_int_repeat_interleave(self, repeats, dim, output_size); |
| 9999 | } |
| 10000 | at::Tensor repeat_interleave_symint(const at::Tensor & self, c10::SymInt repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) { |
| 10001 | return wrapper_CompositeImplicitAutograd_self_int_repeat_interleave(self, repeats, dim, output_size); |
| 10002 | } |
| 10003 | at::Tensor reshape(const at::Tensor & self, at::IntArrayRef shape) { |
| 10004 | return wrapper_CompositeImplicitAutograd__reshape(self, c10::fromIntArrayRefSlow(shape)); |
| 10005 | } |
| 10006 | at::Tensor reshape_symint(const at::Tensor & self, c10::SymIntArrayRef shape) { |
| 10007 | return wrapper_CompositeImplicitAutograd__reshape(self, shape); |
| 10008 | } |
| 10009 | at::Tensor reshape_as(const at::Tensor & self, const at::Tensor & other) { |
| 10010 | return wrapper_CompositeImplicitAutograd__reshape_as(self, other); |
| 10011 | } |
| 10012 | at::Tensor rrelu(const at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, c10::optional<at::Generator> generator) { |
| 10013 | return wrapper_CompositeImplicitAutograd__rrelu(self, lower, upper, training, generator); |
| 10014 | } |
| 10015 | at::Tensor & rrelu_(at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, c10::optional<at::Generator> generator) { |
| 10016 | return wrapper_CompositeImplicitAutograd__rrelu_(self, lower, upper, training, generator); |
| 10017 | } |
| 10018 | at::Tensor relu6(const at::Tensor & self) { |
| 10019 | return wrapper_CompositeImplicitAutograd__relu6(self); |
| 10020 | } |
| 10021 | at::Tensor & relu6_(at::Tensor & self) { |
| 10022 | return wrapper_CompositeImplicitAutograd__relu6_(self); |
| 10023 | } |
| 10024 | at::Tensor prelu(const at::Tensor & self, const at::Tensor & weight) { |
| 10025 | return wrapper_CompositeImplicitAutograd__prelu(self, weight); |
| 10026 | } |
| 10027 | at::Tensor infinitely_differentiable_gelu_backward(const at::Tensor & grad, const at::Tensor & self) { |
| 10028 | return wrapper_CompositeImplicitAutograd__infinitely_differentiable_gelu_backward(grad, self); |
| 10029 | } |
| 10030 | at::Tensor select(const at::Tensor & self, at::Dimname dim, int64_t index) { |
| 10031 | return wrapper_CompositeImplicitAutograd_Dimname_select(self, dim, index); |
| 10032 | } |
| 10033 | at::Tensor selu(const at::Tensor & self) { |
| 10034 | return wrapper_CompositeImplicitAutograd__selu(self); |
| 10035 | } |
| 10036 | at::Tensor & selu_(at::Tensor & self) { |
| 10037 | return wrapper_CompositeImplicitAutograd__selu_(self); |
| 10038 | } |
| 10039 | at::Tensor silu_backward(const at::Tensor & grad_output, const at::Tensor & self) { |
| 10040 | return wrapper_CompositeImplicitAutograd__silu_backward(grad_output, self); |
| 10041 | } |
| 10042 | at::Tensor mish_backward(const at::Tensor & grad_output, const at::Tensor & self) { |
| 10043 | return wrapper_CompositeImplicitAutograd__mish_backward(grad_output, self); |
| 10044 | } |
| 10045 | int64_t size(const at::Tensor & self, int64_t dim) { |
| 10046 | return wrapper_CompositeImplicitAutograd_int_size(self, dim); |
| 10047 | } |
| 10048 | int64_t size(const at::Tensor & self, at::Dimname dim) { |
| 10049 | return wrapper_CompositeImplicitAutograd_Dimname_size(self, dim); |
| 10050 | } |
| 10051 | at::Tensor smm(const at::Tensor & self, const at::Tensor & mat2) { |
| 10052 | return wrapper_CompositeImplicitAutograd__smm(self, mat2); |
| 10053 | } |
| 10054 | at::Tensor softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 10055 | return wrapper_CompositeImplicitAutograd_int_softmax(self, dim, dtype); |
| 10056 | } |
| 10057 | at::Tensor softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 10058 | return wrapper_CompositeImplicitAutograd_Dimname_softmax(self, dim, dtype); |
| 10059 | } |
| 10060 | ::std::vector<at::Tensor> split(const at::Tensor & self, at::IntArrayRef split_size, int64_t dim) { |
| 10061 | return wrapper_CompositeImplicitAutograd_sizes_split(self, c10::fromIntArrayRefSlow(split_size), dim); |
| 10062 | } |
| 10063 | ::std::vector<at::Tensor> split_symint(const at::Tensor & self, c10::SymIntArrayRef split_size, int64_t dim) { |
| 10064 | return wrapper_CompositeImplicitAutograd_sizes_split(self, split_size, dim); |
| 10065 | } |
| 10066 | ::std::vector<at::Tensor> hsplit(const at::Tensor & self, int64_t sections) { |
| 10067 | return wrapper_CompositeImplicitAutograd_int_hsplit(self, sections); |
| 10068 | } |
| 10069 | ::std::vector<at::Tensor> hsplit(const at::Tensor & self, at::IntArrayRef indices) { |
| 10070 | return wrapper_CompositeImplicitAutograd_array_hsplit(self, indices); |
| 10071 | } |
| 10072 | ::std::vector<at::Tensor> vsplit(const at::Tensor & self, int64_t sections) { |
| 10073 | return wrapper_CompositeImplicitAutograd_int_vsplit(self, sections); |
| 10074 | } |
| 10075 | ::std::vector<at::Tensor> vsplit(const at::Tensor & self, at::IntArrayRef indices) { |
| 10076 | return wrapper_CompositeImplicitAutograd_array_vsplit(self, indices); |
| 10077 | } |
| 10078 | ::std::vector<at::Tensor> dsplit(const at::Tensor & self, int64_t sections) { |
| 10079 | return wrapper_CompositeImplicitAutograd_int_dsplit(self, sections); |
| 10080 | } |
| 10081 | ::std::vector<at::Tensor> dsplit(const at::Tensor & self, at::IntArrayRef indices) { |
| 10082 | return wrapper_CompositeImplicitAutograd_array_dsplit(self, indices); |
| 10083 | } |
| 10084 | at::Tensor squeeze(const at::Tensor & self, at::Dimname dim) { |
| 10085 | return wrapper_CompositeImplicitAutograd_dimname_squeeze(self, dim); |
| 10086 | } |
| 10087 | at::Tensor & squeeze_(at::Tensor & self, at::Dimname dim) { |
| 10088 | return wrapper_CompositeImplicitAutograd_dimname_squeeze_(self, dim); |
| 10089 | } |
| 10090 | at::Tensor sspaddmm(const at::Tensor & self, const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha) { |
| 10091 | return wrapper_CompositeImplicitAutograd__sspaddmm(self, mat1, mat2, beta, alpha); |
| 10092 | } |
| 10093 | at::Tensor hstack(at::TensorList tensors) { |
| 10094 | return wrapper_CompositeImplicitAutograd__hstack(tensors); |
| 10095 | } |
| 10096 | at::Tensor & hstack_out(at::Tensor & out, at::TensorList tensors) { |
| 10097 | return wrapper_CompositeImplicitAutograd_out_hstack_out(tensors, out); |
| 10098 | } |
| 10099 | at::Tensor & hstack_outf(at::TensorList tensors, at::Tensor & out) { |
| 10100 | return wrapper_CompositeImplicitAutograd_out_hstack_out(tensors, out); |
| 10101 | } |
| 10102 | at::Tensor vstack(at::TensorList tensors) { |
| 10103 | return wrapper_CompositeImplicitAutograd__vstack(tensors); |
| 10104 | } |
| 10105 | at::Tensor & vstack_out(at::Tensor & out, at::TensorList tensors) { |
| 10106 | return wrapper_CompositeImplicitAutograd_out_vstack_out(tensors, out); |
| 10107 | } |
| 10108 | at::Tensor & vstack_outf(at::TensorList tensors, at::Tensor & out) { |
| 10109 | return wrapper_CompositeImplicitAutograd_out_vstack_out(tensors, out); |
| 10110 | } |
| 10111 | at::Tensor dstack(at::TensorList tensors) { |
| 10112 | return wrapper_CompositeImplicitAutograd__dstack(tensors); |
| 10113 | } |
| 10114 | at::Tensor & dstack_out(at::Tensor & out, at::TensorList tensors) { |
| 10115 | return wrapper_CompositeImplicitAutograd_out_dstack_out(tensors, out); |
| 10116 | } |
| 10117 | at::Tensor & dstack_outf(at::TensorList tensors, at::Tensor & out) { |
| 10118 | return wrapper_CompositeImplicitAutograd_out_dstack_out(tensors, out); |
| 10119 | } |
| 10120 | at::Tensor stft(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::optional<bool> return_complex) { |
| 10121 | return wrapper_CompositeImplicitAutograd__stft(self, n_fft, hop_length, win_length, window, normalized, onesided, return_complex); |
| 10122 | } |
| 10123 | at::Tensor stft(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 center, c10::string_view pad_mode, bool normalized, c10::optional<bool> onesided, c10::optional<bool> return_complex) { |
| 10124 | return wrapper_CompositeImplicitAutograd_center_stft(self, n_fft, hop_length, win_length, window, center, pad_mode, normalized, onesided, return_complex); |
| 10125 | } |
| 10126 | at::Tensor istft(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 center, bool normalized, c10::optional<bool> onesided, c10::optional<int64_t> length, bool return_complex) { |
| 10127 | return wrapper_CompositeImplicitAutograd__istft(self, n_fft, hop_length, win_length, window, center, normalized, onesided, length, return_complex); |
| 10128 | } |
| 10129 | int64_t stride(const at::Tensor & self, int64_t dim) { |
| 10130 | return wrapper_CompositeImplicitAutograd_int_stride(self, dim); |
| 10131 | } |
| 10132 | int64_t stride(const at::Tensor & self, at::Dimname dim) { |
| 10133 | return wrapper_CompositeImplicitAutograd_Dimname_stride(self, dim); |
| 10134 | } |
| 10135 | at::Tensor sum(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 10136 | return wrapper_CompositeImplicitAutograd_dim_DimnameList_sum(self, dim, keepdim, dtype); |
| 10137 | } |
| 10138 | at::Tensor & sum_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 10139 | return wrapper_CompositeImplicitAutograd_DimnameList_out_sum_out(self, dim, keepdim, dtype, out); |
| 10140 | } |
| 10141 | at::Tensor & sum_outf(const at::Tensor & self, at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 10142 | return wrapper_CompositeImplicitAutograd_DimnameList_out_sum_out(self, dim, keepdim, dtype, out); |
| 10143 | } |
| 10144 | at::Tensor sum_to_size(const at::Tensor & self, at::IntArrayRef size) { |
| 10145 | return wrapper_CompositeImplicitAutograd__sum_to_size(self, size); |
| 10146 | } |
| 10147 | at::Tensor square(const at::Tensor & self) { |
| 10148 | return wrapper_CompositeImplicitAutograd__square(self); |
| 10149 | } |
| 10150 | at::Tensor & square_out(at::Tensor & out, const at::Tensor & self) { |
| 10151 | return wrapper_CompositeImplicitAutograd_out_square_out(self, out); |
| 10152 | } |
| 10153 | at::Tensor & square_outf(const at::Tensor & self, at::Tensor & out) { |
| 10154 | return wrapper_CompositeImplicitAutograd_out_square_out(self, out); |
| 10155 | } |
| 10156 | at::Tensor & square_(at::Tensor & self) { |
| 10157 | return wrapper_CompositeImplicitAutograd__square_(self); |
| 10158 | } |
| 10159 | at::Tensor std(const at::Tensor & self, bool unbiased) { |
| 10160 | return wrapper_CompositeImplicitAutograd__std(self, unbiased); |
| 10161 | } |
| 10162 | at::Tensor std(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 10163 | return wrapper_CompositeImplicitAutograd_dim_std(self, dim, unbiased, keepdim); |
| 10164 | } |
| 10165 | at::Tensor & std_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 10166 | return wrapper_CompositeImplicitAutograd_out_std_out(self, dim, unbiased, keepdim, out); |
| 10167 | } |
| 10168 | at::Tensor & std_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 10169 | return wrapper_CompositeImplicitAutograd_out_std_out(self, dim, unbiased, keepdim, out); |
| 10170 | } |
| 10171 | ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, bool unbiased) { |
| 10172 | return wrapper_CompositeImplicitAutograd__std_mean(self, unbiased); |
| 10173 | } |
| 10174 | ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 10175 | return wrapper_CompositeImplicitAutograd_dim_std_mean(self, dim, unbiased, keepdim); |
| 10176 | } |
| 10177 | ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 10178 | return wrapper_CompositeImplicitAutograd_names_dim_std_mean(self, dim, unbiased, keepdim); |
| 10179 | } |
| 10180 | ::std::tuple<at::Tensor,at::Tensor> std_mean(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 10181 | return wrapper_CompositeImplicitAutograd_correction_names_std_mean(self, dim, correction, keepdim); |
| 10182 | } |
| 10183 | at::Tensor std(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 10184 | return wrapper_CompositeImplicitAutograd_names_dim_std(self, dim, unbiased, keepdim); |
| 10185 | } |
| 10186 | at::Tensor & std_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 10187 | return wrapper_CompositeImplicitAutograd_names_out_std_out(self, dim, unbiased, keepdim, out); |
| 10188 | } |
| 10189 | at::Tensor & std_outf(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 10190 | return wrapper_CompositeImplicitAutograd_names_out_std_out(self, dim, unbiased, keepdim, out); |
| 10191 | } |
| 10192 | at::Tensor std(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 10193 | return wrapper_CompositeImplicitAutograd_correction_names_std(self, dim, correction, keepdim); |
| 10194 | } |
| 10195 | at::Tensor & std_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 10196 | return wrapper_CompositeImplicitAutograd_correction_names_out_std_out(self, dim, correction, keepdim, out); |
| 10197 | } |
| 10198 | at::Tensor & std_outf(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 10199 | return wrapper_CompositeImplicitAutograd_correction_names_out_std_out(self, dim, correction, keepdim, out); |
| 10200 | } |
| 10201 | at::Tensor prod(const at::Tensor & self, at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 10202 | return wrapper_CompositeImplicitAutograd_dim_Dimname_prod(self, dim, keepdim, dtype); |
| 10203 | } |
| 10204 | at::Tensor & prod_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 10205 | return wrapper_CompositeImplicitAutograd_Dimname_out_prod_out(self, dim, keepdim, dtype, out); |
| 10206 | } |
| 10207 | at::Tensor & prod_outf(const at::Tensor & self, at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 10208 | return wrapper_CompositeImplicitAutograd_Dimname_out_prod_out(self, dim, keepdim, dtype, out); |
| 10209 | } |
| 10210 | at::Tensor tensordot(const at::Tensor & self, const at::Tensor & other, at::IntArrayRef dims_self, at::IntArrayRef dims_other) { |
| 10211 | return wrapper_CompositeImplicitAutograd__tensordot(self, other, dims_self, dims_other); |
| 10212 | } |
| 10213 | at::Tensor tile(const at::Tensor & self, at::IntArrayRef dims) { |
| 10214 | return wrapper_CompositeImplicitAutograd__tile(self, dims); |
| 10215 | } |
| 10216 | at::Tensor transpose(const at::Tensor & self, at::Dimname dim0, at::Dimname dim1) { |
| 10217 | return wrapper_CompositeImplicitAutograd_Dimname_transpose(self, dim0, dim1); |
| 10218 | } |
| 10219 | at::Tensor one_hot(const at::Tensor & self, int64_t num_classes) { |
| 10220 | return wrapper_CompositeImplicitAutograd__one_hot(self, num_classes); |
| 10221 | } |
| 10222 | at::Tensor fliplr(const at::Tensor & self) { |
| 10223 | return wrapper_CompositeImplicitAutograd__fliplr(self); |
| 10224 | } |
| 10225 | at::Tensor flipud(const at::Tensor & self) { |
| 10226 | return wrapper_CompositeImplicitAutograd__flipud(self); |
| 10227 | } |
| 10228 | at::Tensor trapezoid(const at::Tensor & y, const at::Tensor & x, int64_t dim) { |
| 10229 | return wrapper_CompositeImplicitAutograd_x_trapezoid(y, x, dim); |
| 10230 | } |
| 10231 | at::Tensor trapezoid(const at::Tensor & y, const at::Scalar & dx, int64_t dim) { |
| 10232 | return wrapper_CompositeImplicitAutograd_dx_trapezoid(y, dx, dim); |
| 10233 | } |
| 10234 | at::Tensor trapz(const at::Tensor & y, const at::Tensor & x, int64_t dim) { |
| 10235 | return wrapper_CompositeImplicitAutograd_x_trapz(y, x, dim); |
| 10236 | } |
| 10237 | at::Tensor trapz(const at::Tensor & y, double dx, int64_t dim) { |
| 10238 | return wrapper_CompositeImplicitAutograd_dx_trapz(y, dx, dim); |
| 10239 | } |
| 10240 | at::Tensor triplet_margin_loss(const at::Tensor & anchor, const at::Tensor & positive, const at::Tensor & negative, double margin, double p, double eps, bool swap, int64_t reduction) { |
| 10241 | return wrapper_CompositeImplicitAutograd__triplet_margin_loss(anchor, positive, negative, margin, p, eps, swap, reduction); |
| 10242 | } |
| 10243 | at::Tensor fix(const at::Tensor & self) { |
| 10244 | return wrapper_CompositeImplicitAutograd__fix(self); |
| 10245 | } |
| 10246 | at::Tensor & fix_out(at::Tensor & out, const at::Tensor & self) { |
| 10247 | return wrapper_CompositeImplicitAutograd_out_fix_out(self, out); |
| 10248 | } |
| 10249 | at::Tensor & fix_outf(const at::Tensor & self, at::Tensor & out) { |
| 10250 | return wrapper_CompositeImplicitAutograd_out_fix_out(self, out); |
| 10251 | } |
| 10252 | at::Tensor & fix_(at::Tensor & self) { |
| 10253 | return wrapper_CompositeImplicitAutograd__fix_(self); |
| 10254 | } |
| 10255 | at::Tensor type_as(const at::Tensor & self, const at::Tensor & other) { |
| 10256 | return wrapper_CompositeImplicitAutograd__type_as(self, other); |
| 10257 | } |
| 10258 | bool _has_compatible_shallow_copy_type(const at::Tensor & self, const at::Tensor & from) { |
| 10259 | return wrapper_CompositeImplicitAutograd___has_compatible_shallow_copy_type(self, from); |
| 10260 | } |
| 10261 | at::Tensor vander(const at::Tensor & x, c10::optional<int64_t> N, bool increasing) { |
| 10262 | return wrapper_CompositeImplicitAutograd__vander(x, N, increasing); |
| 10263 | } |
| 10264 | at::Tensor var(const at::Tensor & self, bool unbiased) { |
| 10265 | return wrapper_CompositeImplicitAutograd__var(self, unbiased); |
| 10266 | } |
| 10267 | at::Tensor var(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 10268 | return wrapper_CompositeImplicitAutograd_dim_var(self, dim, unbiased, keepdim); |
| 10269 | } |
| 10270 | at::Tensor & var_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 10271 | return wrapper_CompositeImplicitAutograd_out_var_out(self, dim, unbiased, keepdim, out); |
| 10272 | } |
| 10273 | at::Tensor & var_outf(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 10274 | return wrapper_CompositeImplicitAutograd_out_var_out(self, dim, unbiased, keepdim, out); |
| 10275 | } |
| 10276 | at::Tensor var(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 10277 | return wrapper_CompositeImplicitAutograd_names_dim_var(self, dim, unbiased, keepdim); |
| 10278 | } |
| 10279 | at::Tensor & var_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 10280 | return wrapper_CompositeImplicitAutograd_names_out_var_out(self, dim, unbiased, keepdim, out); |
| 10281 | } |
| 10282 | at::Tensor & var_outf(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim, at::Tensor & out) { |
| 10283 | return wrapper_CompositeImplicitAutograd_names_out_var_out(self, dim, unbiased, keepdim, out); |
| 10284 | } |
| 10285 | at::Tensor var(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 10286 | return wrapper_CompositeImplicitAutograd_correction_names_var(self, dim, correction, keepdim); |
| 10287 | } |
| 10288 | at::Tensor & var_out(at::Tensor & out, const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 10289 | return wrapper_CompositeImplicitAutograd_correction_names_out_var_out(self, dim, correction, keepdim, out); |
| 10290 | } |
| 10291 | at::Tensor & var_outf(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim, at::Tensor & out) { |
| 10292 | return wrapper_CompositeImplicitAutograd_correction_names_out_var_out(self, dim, correction, keepdim, out); |
| 10293 | } |
| 10294 | ::std::tuple<at::Tensor,at::Tensor> var_mean(const at::Tensor & self, bool unbiased) { |
| 10295 | return wrapper_CompositeImplicitAutograd__var_mean(self, unbiased); |
| 10296 | } |
| 10297 | ::std::tuple<at::Tensor,at::Tensor> var_mean(const at::Tensor & self, at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) { |
| 10298 | return wrapper_CompositeImplicitAutograd_dim_var_mean(self, dim, unbiased, keepdim); |
| 10299 | } |
| 10300 | ::std::tuple<at::Tensor,at::Tensor> var_mean(const at::Tensor & self, at::DimnameList dim, bool unbiased, bool keepdim) { |
| 10301 | return wrapper_CompositeImplicitAutograd_names_dim_var_mean(self, dim, unbiased, keepdim); |
| 10302 | } |
| 10303 | ::std::tuple<at::Tensor,at::Tensor> var_mean(const at::Tensor & self, at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) { |
| 10304 | return wrapper_CompositeImplicitAutograd_correction_names_var_mean(self, dim, correction, keepdim); |
| 10305 | } |
| 10306 | at::Tensor view_as(const at::Tensor & self, const at::Tensor & other) { |
| 10307 | return wrapper_CompositeImplicitAutograd__view_as(self, other); |
| 10308 | } |
| 10309 | at::Tensor where(const at::Tensor & condition, const at::Scalar & self, const at::Tensor & other) { |
| 10310 | return wrapper_CompositeImplicitAutograd_ScalarSelf_where(condition, self, other); |
| 10311 | } |
| 10312 | at::Tensor where(const at::Tensor & condition, const at::Tensor & self, const at::Scalar & other) { |
| 10313 | return wrapper_CompositeImplicitAutograd_ScalarOther_where(condition, self, other); |
| 10314 | } |
| 10315 | at::Tensor where(const at::Tensor & condition, const at::Scalar & self, const at::Scalar & other) { |
| 10316 | return wrapper_CompositeImplicitAutograd_Scalar_where(condition, self, other); |
| 10317 | } |
| 10318 | ::std::vector<at::Tensor> where(const at::Tensor & condition) { |
| 10319 | return wrapper_CompositeImplicitAutograd__where(condition); |
| 10320 | } |
| 10321 | at::Tensor norm_except_dim(const at::Tensor & v, int64_t pow, int64_t dim) { |
| 10322 | return wrapper_CompositeImplicitAutograd__norm_except_dim(v, pow, dim); |
| 10323 | } |
| 10324 | at::Tensor _weight_norm(const at::Tensor & v, const at::Tensor & g, int64_t dim) { |
| 10325 | return wrapper_CompositeImplicitAutograd___weight_norm(v, g, dim); |
| 10326 | } |
| 10327 | ::std::tuple<at::Tensor,at::Tensor> _weight_norm_differentiable_backward(const at::Tensor & grad_w, const at::Tensor & saved_v, const at::Tensor & saved_g, const at::Tensor & saved_norms, int64_t dim) { |
| 10328 | return wrapper_CompositeImplicitAutograd___weight_norm_differentiable_backward(grad_w, saved_v, saved_g, saved_norms, dim); |
| 10329 | } |
| 10330 | at::Tensor _sparse_sum(const at::Tensor & self) { |
| 10331 | return wrapper_CompositeImplicitAutograd___sparse_sum(self); |
| 10332 | } |
| 10333 | at::Tensor _sparse_sum(const at::Tensor & self, at::ScalarType dtype) { |
| 10334 | return wrapper_CompositeImplicitAutograd_dtype__sparse_sum(self, dtype); |
| 10335 | } |
| 10336 | at::Tensor _sparse_sum(const at::Tensor & self, at::IntArrayRef dim, at::ScalarType dtype) { |
| 10337 | return wrapper_CompositeImplicitAutograd_dim_dtype__sparse_sum(self, dim, dtype); |
| 10338 | } |
| 10339 | at::Tensor _sparse_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 10340 | return wrapper_CompositeImplicitAutograd_int__sparse_softmax(self, dim, dtype); |
| 10341 | } |
| 10342 | at::Tensor _sparse_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 10343 | return wrapper_CompositeImplicitAutograd_Dimname__sparse_softmax(self, dim, dtype); |
| 10344 | } |
| 10345 | at::Tensor _sparse_log_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 10346 | return wrapper_CompositeImplicitAutograd_int__sparse_log_softmax(self, dim, dtype); |
| 10347 | } |
| 10348 | at::Tensor _sparse_log_softmax(const at::Tensor & self, at::Dimname dim, c10::optional<at::ScalarType> dtype) { |
| 10349 | return wrapper_CompositeImplicitAutograd_Dimname__sparse_log_softmax(self, dim, dtype); |
| 10350 | } |
| 10351 | at::Tensor norm(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) { |
| 10352 | return wrapper_CompositeImplicitAutograd_names_ScalarOpt_dim_dtype_norm(self, p, dim, keepdim, dtype); |
| 10353 | } |
| 10354 | at::Tensor & norm_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) { |
| 10355 | return wrapper_CompositeImplicitAutograd_names_dtype_out_norm_out(self, p, dim, keepdim, dtype, out); |
| 10356 | } |
| 10357 | at::Tensor & norm_outf(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype, at::Tensor & out) { |
| 10358 | return wrapper_CompositeImplicitAutograd_names_dtype_out_norm_out(self, p, dim, keepdim, dtype, out); |
| 10359 | } |
| 10360 | at::Tensor norm(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim) { |
| 10361 | return wrapper_CompositeImplicitAutograd_names_ScalarOpt_dim_norm(self, p, dim, keepdim); |
| 10362 | } |
| 10363 | at::Tensor & norm_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim) { |
| 10364 | return wrapper_CompositeImplicitAutograd_names_out_norm_out(self, p, dim, keepdim, out); |
| 10365 | } |
| 10366 | at::Tensor & norm_outf(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::Tensor & out) { |
| 10367 | return wrapper_CompositeImplicitAutograd_names_out_norm_out(self, p, dim, keepdim, out); |
| 10368 | } |
| 10369 | at::Tensor frobenius_norm(const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 10370 | return wrapper_CompositeImplicitAutograd_dim_frobenius_norm(self, dim, keepdim); |
| 10371 | } |
| 10372 | at::Tensor & frobenius_norm_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 10373 | return wrapper_CompositeImplicitAutograd_out_frobenius_norm_out(self, dim, keepdim, out); |
| 10374 | } |
| 10375 | at::Tensor & frobenius_norm_outf(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 10376 | return wrapper_CompositeImplicitAutograd_out_frobenius_norm_out(self, dim, keepdim, out); |
| 10377 | } |
| 10378 | at::Tensor nuclear_norm(const at::Tensor & self, bool keepdim) { |
| 10379 | return wrapper_CompositeImplicitAutograd__nuclear_norm(self, keepdim); |
| 10380 | } |
| 10381 | at::Tensor & nuclear_norm_out(at::Tensor & out, const at::Tensor & self, bool keepdim) { |
| 10382 | return wrapper_CompositeImplicitAutograd_out_nuclear_norm_out(self, keepdim, out); |
| 10383 | } |
| 10384 | at::Tensor & nuclear_norm_outf(const at::Tensor & self, bool keepdim, at::Tensor & out) { |
| 10385 | return wrapper_CompositeImplicitAutograd_out_nuclear_norm_out(self, keepdim, out); |
| 10386 | } |
| 10387 | at::Tensor nuclear_norm(const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 10388 | return wrapper_CompositeImplicitAutograd_dim_nuclear_norm(self, dim, keepdim); |
| 10389 | } |
| 10390 | at::Tensor & nuclear_norm_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 10391 | return wrapper_CompositeImplicitAutograd_dim_out_nuclear_norm_out(self, dim, keepdim, out); |
| 10392 | } |
| 10393 | at::Tensor & nuclear_norm_outf(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 10394 | return wrapper_CompositeImplicitAutograd_dim_out_nuclear_norm_out(self, dim, keepdim, out); |
| 10395 | } |
| 10396 | at::Tensor positive(const at::Tensor & self) { |
| 10397 | return wrapper_CompositeImplicitAutograd__positive(self); |
| 10398 | } |
| 10399 | at::Tensor subtract(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha) { |
| 10400 | return wrapper_CompositeImplicitAutograd_Tensor_subtract(self, other, alpha); |
| 10401 | } |
| 10402 | at::Tensor & subtract_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha) { |
| 10403 | return wrapper_CompositeImplicitAutograd_out_subtract_out(self, other, alpha, out); |
| 10404 | } |
| 10405 | at::Tensor & subtract_outf(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha, at::Tensor & out) { |
| 10406 | return wrapper_CompositeImplicitAutograd_out_subtract_out(self, other, alpha, out); |
| 10407 | } |
| 10408 | at::Tensor & subtract_(at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha) { |
| 10409 | return wrapper_CompositeImplicitAutograd_Tensor_subtract_(self, other, alpha); |
| 10410 | } |
| 10411 | at::Tensor subtract(const at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha) { |
| 10412 | return wrapper_CompositeImplicitAutograd_Scalar_subtract(self, other, alpha); |
| 10413 | } |
| 10414 | at::Tensor & subtract_(at::Tensor & self, const at::Scalar & other, const at::Scalar & alpha) { |
| 10415 | return wrapper_CompositeImplicitAutograd_Scalar_subtract_(self, other, alpha); |
| 10416 | } |
| 10417 | at::Tensor sparse_compressed_tensor(const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10418 | return wrapper_CompositeImplicitAutograd_comp_plain_value_size_sparse_compressed_tensor(compressed_indices, plain_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10419 | } |
| 10420 | at::Tensor sparse_compressed_tensor(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) { |
| 10421 | return wrapper_CompositeImplicitAutograd_comp_plain_value_size_sparse_compressed_tensor(compressed_indices, plain_indices, values, size, dtype, layout, device, pin_memory); |
| 10422 | } |
| 10423 | at::Tensor sparse_csr_tensor(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10424 | return wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_csr_tensor(crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10425 | } |
| 10426 | at::Tensor sparse_csr_tensor(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) { |
| 10427 | return wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_csr_tensor(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 10428 | } |
| 10429 | at::Tensor sparse_csc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10430 | return wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_csc_tensor(ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10431 | } |
| 10432 | at::Tensor sparse_csc_tensor(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) { |
| 10433 | return wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_csc_tensor(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 10434 | } |
| 10435 | at::Tensor sparse_bsr_tensor(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10436 | return wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_bsr_tensor(crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10437 | } |
| 10438 | at::Tensor sparse_bsr_tensor(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) { |
| 10439 | return wrapper_CompositeImplicitAutograd_crow_col_value_size_sparse_bsr_tensor(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 10440 | } |
| 10441 | at::Tensor sparse_bsc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10442 | return wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_bsc_tensor(ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10443 | } |
| 10444 | at::Tensor sparse_bsc_tensor(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) { |
| 10445 | return wrapper_CompositeImplicitAutograd_ccol_row_value_size_sparse_bsc_tensor(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 10446 | } |
| 10447 | at::Tensor sparse_compressed_tensor(const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::TensorOptions options) { |
| 10448 | return wrapper_CompositeImplicitAutograd_comp_plain_value_sparse_compressed_tensor(compressed_indices, plain_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10449 | } |
| 10450 | at::Tensor sparse_compressed_tensor(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) { |
| 10451 | return wrapper_CompositeImplicitAutograd_comp_plain_value_sparse_compressed_tensor(compressed_indices, plain_indices, values, dtype, layout, device, pin_memory); |
| 10452 | } |
| 10453 | at::Tensor sparse_csr_tensor(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::TensorOptions options) { |
| 10454 | return wrapper_CompositeImplicitAutograd_crow_col_value_sparse_csr_tensor(crow_indices, col_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10455 | } |
| 10456 | at::Tensor sparse_csr_tensor(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) { |
| 10457 | return wrapper_CompositeImplicitAutograd_crow_col_value_sparse_csr_tensor(crow_indices, col_indices, values, dtype, layout, device, pin_memory); |
| 10458 | } |
| 10459 | at::Tensor sparse_csc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::TensorOptions options) { |
| 10460 | return wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_csc_tensor(ccol_indices, row_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10461 | } |
| 10462 | at::Tensor sparse_csc_tensor(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) { |
| 10463 | return wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_csc_tensor(ccol_indices, row_indices, values, dtype, layout, device, pin_memory); |
| 10464 | } |
| 10465 | at::Tensor sparse_bsr_tensor(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::TensorOptions options) { |
| 10466 | return wrapper_CompositeImplicitAutograd_crow_col_value_sparse_bsr_tensor(crow_indices, col_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10467 | } |
| 10468 | at::Tensor sparse_bsr_tensor(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) { |
| 10469 | return wrapper_CompositeImplicitAutograd_crow_col_value_sparse_bsr_tensor(crow_indices, col_indices, values, dtype, layout, device, pin_memory); |
| 10470 | } |
| 10471 | at::Tensor sparse_bsc_tensor(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::TensorOptions options) { |
| 10472 | return wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_bsc_tensor(ccol_indices, row_indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10473 | } |
| 10474 | at::Tensor sparse_bsc_tensor(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) { |
| 10475 | return wrapper_CompositeImplicitAutograd_ccol_row_value_sparse_bsc_tensor(ccol_indices, row_indices, values, dtype, layout, device, pin_memory); |
| 10476 | } |
| 10477 | at::Tensor _sparse_compressed_tensor_unsafe(const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10478 | return wrapper_CompositeImplicitAutograd___sparse_compressed_tensor_unsafe(compressed_indices, plain_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10479 | } |
| 10480 | at::Tensor _sparse_compressed_tensor_unsafe(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) { |
| 10481 | return wrapper_CompositeImplicitAutograd___sparse_compressed_tensor_unsafe(compressed_indices, plain_indices, values, size, dtype, layout, device, pin_memory); |
| 10482 | } |
| 10483 | at::Tensor _sparse_csr_tensor_unsafe(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10484 | return wrapper_CompositeImplicitAutograd___sparse_csr_tensor_unsafe(crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10485 | } |
| 10486 | at::Tensor _sparse_csr_tensor_unsafe(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) { |
| 10487 | return wrapper_CompositeImplicitAutograd___sparse_csr_tensor_unsafe(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 10488 | } |
| 10489 | at::Tensor _sparse_csc_tensor_unsafe(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10490 | return wrapper_CompositeImplicitAutograd___sparse_csc_tensor_unsafe(ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10491 | } |
| 10492 | at::Tensor _sparse_csc_tensor_unsafe(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) { |
| 10493 | return wrapper_CompositeImplicitAutograd___sparse_csc_tensor_unsafe(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 10494 | } |
| 10495 | at::Tensor _sparse_bsr_tensor_unsafe(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10496 | return wrapper_CompositeImplicitAutograd___sparse_bsr_tensor_unsafe(crow_indices, col_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10497 | } |
| 10498 | at::Tensor _sparse_bsr_tensor_unsafe(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) { |
| 10499 | return wrapper_CompositeImplicitAutograd___sparse_bsr_tensor_unsafe(crow_indices, col_indices, values, size, dtype, layout, device, pin_memory); |
| 10500 | } |
| 10501 | at::Tensor _sparse_bsc_tensor_unsafe(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10502 | return wrapper_CompositeImplicitAutograd___sparse_bsc_tensor_unsafe(ccol_indices, row_indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10503 | } |
| 10504 | at::Tensor _sparse_bsc_tensor_unsafe(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) { |
| 10505 | return wrapper_CompositeImplicitAutograd___sparse_bsc_tensor_unsafe(ccol_indices, row_indices, values, size, dtype, layout, device, pin_memory); |
| 10506 | } |
| 10507 | at::Tensor sparse_coo_tensor(const at::Tensor & indices, const at::Tensor & values, at::TensorOptions options) { |
| 10508 | return wrapper_CompositeImplicitAutograd_indices_sparse_coo_tensor(indices, values, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10509 | } |
| 10510 | at::Tensor sparse_coo_tensor(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) { |
| 10511 | return wrapper_CompositeImplicitAutograd_indices_sparse_coo_tensor(indices, values, dtype, layout, device, pin_memory); |
| 10512 | } |
| 10513 | at::Tensor sparse_coo_tensor(const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10514 | return wrapper_CompositeImplicitAutograd_indices_size_sparse_coo_tensor(indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10515 | } |
| 10516 | at::Tensor sparse_coo_tensor(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) { |
| 10517 | return wrapper_CompositeImplicitAutograd_indices_size_sparse_coo_tensor(indices, values, size, dtype, layout, device, pin_memory); |
| 10518 | } |
| 10519 | at::Tensor _sparse_coo_tensor_unsafe(const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size, at::TensorOptions options) { |
| 10520 | return wrapper_CompositeImplicitAutograd___sparse_coo_tensor_unsafe(indices, values, c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10521 | } |
| 10522 | at::Tensor _sparse_coo_tensor_unsafe(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) { |
| 10523 | return wrapper_CompositeImplicitAutograd___sparse_coo_tensor_unsafe(indices, values, c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 10524 | } |
| 10525 | at::Tensor _sparse_coo_tensor_unsafe_symint(const at::Tensor & indices, const at::Tensor & values, c10::SymIntArrayRef size, at::TensorOptions options) { |
| 10526 | return wrapper_CompositeImplicitAutograd___sparse_coo_tensor_unsafe(indices, values, size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 10527 | } |
| 10528 | at::Tensor _sparse_coo_tensor_unsafe_symint(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) { |
| 10529 | return wrapper_CompositeImplicitAutograd___sparse_coo_tensor_unsafe(indices, values, size, dtype, layout, device, pin_memory); |
| 10530 | } |
| 10531 | void _validate_sparse_coo_tensor_args(const at::Tensor & indices, const at::Tensor & values, at::IntArrayRef size) { |
| 10532 | return wrapper_CompositeImplicitAutograd___validate_sparse_coo_tensor_args(indices, values, size); |
| 10533 | } |
| 10534 | void _validate_sparse_compressed_tensor_args(const at::Tensor & compressed_indices, const at::Tensor & plain_indices, const at::Tensor & values, at::IntArrayRef size, at::Layout layout) { |
| 10535 | return wrapper_CompositeImplicitAutograd___validate_sparse_compressed_tensor_args(compressed_indices, plain_indices, values, size, layout); |
| 10536 | } |
| 10537 | void _validate_sparse_csr_tensor_args(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 10538 | return wrapper_CompositeImplicitAutograd___validate_sparse_csr_tensor_args(crow_indices, col_indices, values, size); |
| 10539 | } |
| 10540 | void _validate_sparse_csc_tensor_args(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 10541 | return wrapper_CompositeImplicitAutograd___validate_sparse_csc_tensor_args(ccol_indices, row_indices, values, size); |
| 10542 | } |
| 10543 | void _validate_sparse_bsr_tensor_args(const at::Tensor & crow_indices, const at::Tensor & col_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 10544 | return wrapper_CompositeImplicitAutograd___validate_sparse_bsr_tensor_args(crow_indices, col_indices, values, size); |
| 10545 | } |
| 10546 | void _validate_sparse_bsc_tensor_args(const at::Tensor & ccol_indices, const at::Tensor & row_indices, const at::Tensor & values, at::IntArrayRef size) { |
| 10547 | return wrapper_CompositeImplicitAutograd___validate_sparse_bsc_tensor_args(ccol_indices, row_indices, values, size); |
| 10548 | } |
| 10549 | ::std::vector<at::Tensor> _to_cpu(at::TensorList tensors) { |
| 10550 | return wrapper_CompositeImplicitAutograd___to_cpu(tensors); |
| 10551 | } |
| 10552 | at::Tensor to_dense(const at::Tensor & self, c10::optional<at::ScalarType> dtype) { |
| 10553 | return wrapper_CompositeImplicitAutograd__to_dense(self, dtype); |
| 10554 | } |
| 10555 | at::Tensor to_dense_backward(const at::Tensor & grad, const at::Tensor & input) { |
| 10556 | return wrapper_CompositeImplicitAutograd__to_dense_backward(grad, input); |
| 10557 | } |
| 10558 | at::Tensor coalesce(const at::Tensor & self) { |
| 10559 | return wrapper_CompositeImplicitAutograd__coalesce(self); |
| 10560 | } |
| 10561 | ::std::vector<at::Tensor> unbind(const at::Tensor & self, at::Dimname dim) { |
| 10562 | return wrapper_CompositeImplicitAutograd_Dimname_unbind(self, dim); |
| 10563 | } |
| 10564 | at::Tensor to_mkldnn_backward(const at::Tensor & grad, const at::Tensor & input) { |
| 10565 | return wrapper_CompositeImplicitAutograd__to_mkldnn_backward(grad, input); |
| 10566 | } |
| 10567 | at::Tensor fake_quantize_per_tensor_affine(const at::Tensor & self, double scale, int64_t zero_point, int64_t quant_min, int64_t quant_max) { |
| 10568 | return wrapper_CompositeImplicitAutograd__fake_quantize_per_tensor_affine(self, scale, zero_point, quant_min, quant_max); |
| 10569 | } |
| 10570 | at::Tensor fake_quantize_per_tensor_affine(const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t quant_min, int64_t quant_max) { |
| 10571 | return wrapper_CompositeImplicitAutograd_tensor_qparams_fake_quantize_per_tensor_affine(self, scale, zero_point, quant_min, quant_max); |
| 10572 | } |
| 10573 | at::Tensor fake_quantize_per_tensor_affine_cachemask_backward(const at::Tensor & grad, const at::Tensor & mask) { |
| 10574 | return wrapper_CompositeImplicitAutograd__fake_quantize_per_tensor_affine_cachemask_backward(grad, mask); |
| 10575 | } |
| 10576 | at::Tensor fake_quantize_per_channel_affine(const at::Tensor & self, const at::Tensor & scale, const at::Tensor & zero_point, int64_t axis, int64_t quant_min, int64_t quant_max) { |
| 10577 | return wrapper_CompositeImplicitAutograd__fake_quantize_per_channel_affine(self, scale, zero_point, axis, quant_min, quant_max); |
| 10578 | } |
| 10579 | at::Tensor fake_quantize_per_channel_affine_cachemask_backward(const at::Tensor & grad, const at::Tensor & mask) { |
| 10580 | return wrapper_CompositeImplicitAutograd__fake_quantize_per_channel_affine_cachemask_backward(grad, mask); |
| 10581 | } |
| 10582 | at::Tensor fused_moving_avg_obs_fake_quant(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) { |
| 10583 | return wrapper_CompositeImplicitAutograd__fused_moving_avg_obs_fake_quant(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); |
| 10584 | } |
| 10585 | ::std::tuple<double,int64_t> _choose_qparams_per_tensor(const at::Tensor & self, bool reduce_range) { |
| 10586 | return wrapper_CompositeImplicitAutograd___choose_qparams_per_tensor(self, reduce_range); |
| 10587 | } |
| 10588 | at::Tensor _saturate_weight_to_fp16(const at::Tensor & weight) { |
| 10589 | return wrapper_CompositeImplicitAutograd___saturate_weight_to_fp16(weight); |
| 10590 | } |
| 10591 | ::std::tuple<at::Tensor,at::Tensor> choose_qparams_optimized(const at::Tensor & input, int64_t numel, int64_t n_bins, double ratio, int64_t bit_width) { |
| 10592 | return wrapper_CompositeImplicitAutograd__choose_qparams_optimized(input, numel, n_bins, ratio, bit_width); |
| 10593 | } |
| 10594 | at::Tensor _autocast_to_reduced_precision(const at::Tensor & self, bool cuda_enabled, bool cpu_enabled, at::ScalarType cuda_dtype, at::ScalarType cpu_dtype) { |
| 10595 | return wrapper_CompositeImplicitAutograd___autocast_to_reduced_precision(self, cuda_enabled, cpu_enabled, cuda_dtype, cpu_dtype); |
| 10596 | } |
| 10597 | at::Tensor _autocast_to_full_precision(const at::Tensor & self, bool cuda_enabled, bool cpu_enabled) { |
| 10598 | return wrapper_CompositeImplicitAutograd___autocast_to_full_precision(self, cuda_enabled, cpu_enabled); |
| 10599 | } |
| 10600 | at::Tensor to(const at::Tensor & self, at::TensorOptions options, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 10601 | return wrapper_CompositeImplicitAutograd_dtype_layout_to(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)); |
| 10602 | } |
| 10603 | at::Tensor to(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) { |
| 10604 | return wrapper_CompositeImplicitAutograd_dtype_layout_to(self, dtype, layout, device, pin_memory, non_blocking, copy, memory_format); |
| 10605 | } |
| 10606 | at::Tensor to(const at::Tensor & self, at::Device device, at::ScalarType dtype, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 10607 | return wrapper_CompositeImplicitAutograd_device_to(self, device, dtype, non_blocking, copy, memory_format); |
| 10608 | } |
| 10609 | at::Tensor to(const at::Tensor & self, at::ScalarType dtype, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 10610 | return wrapper_CompositeImplicitAutograd_dtype_to(self, dtype, non_blocking, copy, memory_format); |
| 10611 | } |
| 10612 | at::Tensor to(const at::Tensor & self, const at::Tensor & other, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) { |
| 10613 | return wrapper_CompositeImplicitAutograd_other_to(self, other, non_blocking, copy, memory_format); |
| 10614 | } |
| 10615 | ::std::vector<at::Tensor> meshgrid(at::TensorList tensors) { |
| 10616 | return wrapper_CompositeImplicitAutograd__meshgrid(tensors); |
| 10617 | } |
| 10618 | ::std::vector<at::Tensor> meshgrid(at::TensorList tensors, c10::string_view indexing) { |
| 10619 | return wrapper_CompositeImplicitAutograd_indexing_meshgrid(tensors, indexing); |
| 10620 | } |
| 10621 | at::Tensor cartesian_prod(at::TensorList tensors) { |
| 10622 | return wrapper_CompositeImplicitAutograd__cartesian_prod(tensors); |
| 10623 | } |
| 10624 | at::Tensor combinations(const at::Tensor & self, int64_t r, bool with_replacement) { |
| 10625 | return wrapper_CompositeImplicitAutograd__combinations(self, r, with_replacement); |
| 10626 | } |
| 10627 | at::Scalar item(const at::Tensor & self) { |
| 10628 | return wrapper_CompositeImplicitAutograd__item(self); |
| 10629 | } |
| 10630 | at::ScalarType result_type(const at::Tensor & tensor, const at::Tensor & other) { |
| 10631 | return wrapper_CompositeImplicitAutograd_Tensor_result_type(tensor, other); |
| 10632 | } |
| 10633 | at::ScalarType result_type(const at::Tensor & tensor, const at::Scalar & other) { |
| 10634 | return wrapper_CompositeImplicitAutograd_Scalar_result_type(tensor, other); |
| 10635 | } |
| 10636 | at::ScalarType result_type(const at::Scalar & scalar, const at::Tensor & tensor) { |
| 10637 | return wrapper_CompositeImplicitAutograd_Scalar_Tensor_result_type(scalar, tensor); |
| 10638 | } |
| 10639 | at::ScalarType result_type(const at::Scalar & scalar1, const at::Scalar & scalar2) { |
| 10640 | return wrapper_CompositeImplicitAutograd_Scalar_Scalar_result_type(scalar1, scalar2); |
| 10641 | } |
| 10642 | bool can_cast(at::ScalarType from, at::ScalarType to) { |
| 10643 | return wrapper_CompositeImplicitAutograd__can_cast(from, to); |
| 10644 | } |
| 10645 | at::ScalarType promote_types(at::ScalarType type1, at::ScalarType type2) { |
| 10646 | return wrapper_CompositeImplicitAutograd__promote_types(type1, type2); |
| 10647 | } |
| 10648 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_fused_lstm_cell_backward(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) { |
| 10649 | return wrapper_CompositeImplicitAutograd___thnn_fused_lstm_cell_backward(grad_hy, grad_cy, cx, cy, workspace, has_bias); |
| 10650 | } |
| 10651 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_differentiable_lstm_cell_backward(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) { |
| 10652 | return wrapper_CompositeImplicitAutograd___thnn_differentiable_lstm_cell_backward(grad_hy, grad_cy, input_gates, hidden_gates, input_bias, hidden_bias, cx, cy); |
| 10653 | } |
| 10654 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor,at::Tensor,at::Tensor> _thnn_differentiable_gru_cell_backward(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) { |
| 10655 | return wrapper_CompositeImplicitAutograd___thnn_differentiable_gru_cell_backward(grad_hy, input_gates, hidden_gates, hx, input_bias, hidden_bias); |
| 10656 | } |
| 10657 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lstm(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) { |
| 10658 | return wrapper_CompositeImplicitAutograd_input_lstm(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 10659 | } |
| 10660 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> lstm(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) { |
| 10661 | return wrapper_CompositeImplicitAutograd_data_lstm(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 10662 | } |
| 10663 | ::std::tuple<at::Tensor,at::Tensor> gru(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) { |
| 10664 | return wrapper_CompositeImplicitAutograd_input_gru(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 10665 | } |
| 10666 | ::std::tuple<at::Tensor,at::Tensor> gru(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) { |
| 10667 | return wrapper_CompositeImplicitAutograd_data_gru(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 10668 | } |
| 10669 | ::std::tuple<at::Tensor,at::Tensor> rnn_tanh(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) { |
| 10670 | return wrapper_CompositeImplicitAutograd_input_rnn_tanh(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 10671 | } |
| 10672 | ::std::tuple<at::Tensor,at::Tensor> rnn_tanh(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) { |
| 10673 | return wrapper_CompositeImplicitAutograd_data_rnn_tanh(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 10674 | } |
| 10675 | ::std::tuple<at::Tensor,at::Tensor> rnn_relu(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) { |
| 10676 | return wrapper_CompositeImplicitAutograd_input_rnn_relu(input, hx, params, has_biases, num_layers, dropout, train, bidirectional, batch_first); |
| 10677 | } |
| 10678 | ::std::tuple<at::Tensor,at::Tensor> rnn_relu(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) { |
| 10679 | return wrapper_CompositeImplicitAutograd_data_rnn_relu(data, batch_sizes, hx, params, has_biases, num_layers, dropout, train, bidirectional); |
| 10680 | } |
| 10681 | ::std::tuple<at::Tensor,at::Tensor> lstm_cell(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) { |
| 10682 | return wrapper_CompositeImplicitAutograd__lstm_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 10683 | } |
| 10684 | at::Tensor gru_cell(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) { |
| 10685 | return wrapper_CompositeImplicitAutograd__gru_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 10686 | } |
| 10687 | at::Tensor rnn_tanh_cell(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) { |
| 10688 | return wrapper_CompositeImplicitAutograd__rnn_tanh_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 10689 | } |
| 10690 | at::Tensor rnn_relu_cell(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) { |
| 10691 | return wrapper_CompositeImplicitAutograd__rnn_relu_cell(input, hx, w_ih, w_hh, b_ih, b_hh); |
| 10692 | } |
| 10693 | ::std::tuple<at::Tensor,at::Tensor> quantized_lstm_cell(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) { |
| 10694 | return wrapper_CompositeImplicitAutograd__quantized_lstm_cell(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); |
| 10695 | } |
| 10696 | at::Tensor quantized_gru_cell(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) { |
| 10697 | return wrapper_CompositeImplicitAutograd__quantized_gru_cell(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); |
| 10698 | } |
| 10699 | at::Tensor quantized_rnn_relu_cell(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) { |
| 10700 | return wrapper_CompositeImplicitAutograd__quantized_rnn_relu_cell(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); |
| 10701 | } |
| 10702 | at::Tensor quantized_rnn_tanh_cell(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) { |
| 10703 | return wrapper_CompositeImplicitAutograd__quantized_rnn_tanh_cell(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); |
| 10704 | } |
| 10705 | at::Tensor _pack_padded_sequence_backward(const at::Tensor & grad, at::IntArrayRef input_size, const at::Tensor & batch_sizes, bool batch_first) { |
| 10706 | return wrapper_CompositeImplicitAutograd___pack_padded_sequence_backward(grad, c10::fromIntArrayRefSlow(input_size), batch_sizes, batch_first); |
| 10707 | } |
| 10708 | at::Tensor _pack_padded_sequence_backward_symint(const at::Tensor & grad, c10::SymIntArrayRef input_size, const at::Tensor & batch_sizes, bool batch_first) { |
| 10709 | return wrapper_CompositeImplicitAutograd___pack_padded_sequence_backward(grad, input_size, batch_sizes, batch_first); |
| 10710 | } |
| 10711 | ::std::tuple<at::Tensor,at::Tensor> _pad_packed_sequence(const at::Tensor & data, const at::Tensor & batch_sizes, bool batch_first, const at::Scalar & padding_value, int64_t total_length) { |
| 10712 | return wrapper_CompositeImplicitAutograd___pad_packed_sequence(data, batch_sizes, batch_first, padding_value, total_length); |
| 10713 | } |
| 10714 | at::Tensor & set_(at::Tensor & self, const at::Tensor & source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride) { |
| 10715 | return wrapper_CompositeImplicitAutograd_source_Tensor_storage_offset_set_(self, source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 10716 | } |
| 10717 | at::Tensor & set__symint(at::Tensor & self, const at::Tensor & source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) { |
| 10718 | return wrapper_CompositeImplicitAutograd_source_Tensor_storage_offset_set_(self, source, storage_offset, size, stride); |
| 10719 | } |
| 10720 | at::Tensor index_add(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha) { |
| 10721 | return wrapper_CompositeImplicitAutograd_dimname_index_add(self, dim, index, source, alpha); |
| 10722 | } |
| 10723 | at::Tensor & index_fill_(at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 10724 | return wrapper_CompositeImplicitAutograd_Dimname_Scalar_index_fill_(self, dim, index, value); |
| 10725 | } |
| 10726 | at::Tensor index_fill(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 10727 | return wrapper_CompositeImplicitAutograd_Dimname_Scalar_index_fill(self, dim, index, value); |
| 10728 | } |
| 10729 | at::Tensor & index_fill_(at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) { |
| 10730 | return wrapper_CompositeImplicitAutograd_Dimname_Tensor_index_fill_(self, dim, index, value); |
| 10731 | } |
| 10732 | at::Tensor index_fill(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & value) { |
| 10733 | return wrapper_CompositeImplicitAutograd_Dimname_Tensor_index_fill(self, dim, index, value); |
| 10734 | } |
| 10735 | at::Tensor scatter(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) { |
| 10736 | return wrapper_CompositeImplicitAutograd_dimname_src_scatter(self, dim, index, src); |
| 10737 | } |
| 10738 | at::Tensor scatter(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Scalar & value) { |
| 10739 | return wrapper_CompositeImplicitAutograd_dimname_value_scatter(self, dim, index, value); |
| 10740 | } |
| 10741 | at::Tensor scatter_add(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, const at::Tensor & src) { |
| 10742 | return wrapper_CompositeImplicitAutograd_dimname_scatter_add(self, dim, index, src); |
| 10743 | } |
| 10744 | at::Tensor & bitwise_and_(at::Tensor & self, const at::Scalar & other) { |
| 10745 | return wrapper_CompositeImplicitAutograd_Scalar_bitwise_and_(self, other); |
| 10746 | } |
| 10747 | at::Tensor __and__(const at::Tensor & self, const at::Scalar & other) { |
| 10748 | return wrapper_CompositeImplicitAutograd_Scalar___and__(self, other); |
| 10749 | } |
| 10750 | at::Tensor & __iand__(at::Tensor & self, const at::Scalar & other) { |
| 10751 | return wrapper_CompositeImplicitAutograd_Scalar___iand__(self, other); |
| 10752 | } |
| 10753 | at::Tensor __and__(const at::Tensor & self, const at::Tensor & other) { |
| 10754 | return wrapper_CompositeImplicitAutograd_Tensor___and__(self, other); |
| 10755 | } |
| 10756 | at::Tensor & __iand__(at::Tensor & self, const at::Tensor & other) { |
| 10757 | return wrapper_CompositeImplicitAutograd_Tensor___iand__(self, other); |
| 10758 | } |
| 10759 | at::Tensor bitwise_or(const at::Tensor & self, const at::Scalar & other) { |
| 10760 | return wrapper_CompositeImplicitAutograd_Scalar_bitwise_or(self, other); |
| 10761 | } |
| 10762 | at::Tensor & bitwise_or_(at::Tensor & self, const at::Scalar & other) { |
| 10763 | return wrapper_CompositeImplicitAutograd_Scalar_bitwise_or_(self, other); |
| 10764 | } |
| 10765 | at::Tensor __or__(const at::Tensor & self, const at::Scalar & other) { |
| 10766 | return wrapper_CompositeImplicitAutograd_Scalar___or__(self, other); |
| 10767 | } |
| 10768 | at::Tensor & __ior__(at::Tensor & self, const at::Scalar & other) { |
| 10769 | return wrapper_CompositeImplicitAutograd_Scalar___ior__(self, other); |
| 10770 | } |
| 10771 | at::Tensor __or__(const at::Tensor & self, const at::Tensor & other) { |
| 10772 | return wrapper_CompositeImplicitAutograd_Tensor___or__(self, other); |
| 10773 | } |
| 10774 | at::Tensor & __ior__(at::Tensor & self, const at::Tensor & other) { |
| 10775 | return wrapper_CompositeImplicitAutograd_Tensor___ior__(self, other); |
| 10776 | } |
| 10777 | at::Tensor bitwise_xor(const at::Tensor & self, const at::Scalar & other) { |
| 10778 | return wrapper_CompositeImplicitAutograd_Scalar_bitwise_xor(self, other); |
| 10779 | } |
| 10780 | at::Tensor & bitwise_xor_(at::Tensor & self, const at::Scalar & other) { |
| 10781 | return wrapper_CompositeImplicitAutograd_Scalar_bitwise_xor_(self, other); |
| 10782 | } |
| 10783 | at::Tensor __xor__(const at::Tensor & self, const at::Scalar & other) { |
| 10784 | return wrapper_CompositeImplicitAutograd_Scalar___xor__(self, other); |
| 10785 | } |
| 10786 | at::Tensor & __ixor__(at::Tensor & self, const at::Scalar & other) { |
| 10787 | return wrapper_CompositeImplicitAutograd_Scalar___ixor__(self, other); |
| 10788 | } |
| 10789 | at::Tensor __xor__(const at::Tensor & self, const at::Tensor & other) { |
| 10790 | return wrapper_CompositeImplicitAutograd_Tensor___xor__(self, other); |
| 10791 | } |
| 10792 | at::Tensor & __ixor__(at::Tensor & self, const at::Tensor & other) { |
| 10793 | return wrapper_CompositeImplicitAutograd_Tensor___ixor__(self, other); |
| 10794 | } |
| 10795 | at::Tensor diag(const at::Tensor & self, int64_t diagonal) { |
| 10796 | return wrapper_CompositeImplicitAutograd__diag(self, diagonal); |
| 10797 | } |
| 10798 | at::Tensor & diag_out(at::Tensor & out, const at::Tensor & self, int64_t diagonal) { |
| 10799 | return wrapper_CompositeImplicitAutograd_out_diag_out(self, diagonal, out); |
| 10800 | } |
| 10801 | at::Tensor & diag_outf(const at::Tensor & self, int64_t diagonal, at::Tensor & out) { |
| 10802 | return wrapper_CompositeImplicitAutograd_out_diag_out(self, diagonal, out); |
| 10803 | } |
| 10804 | at::Tensor cross(const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim) { |
| 10805 | return wrapper_CompositeImplicitAutograd__cross(self, other, dim); |
| 10806 | } |
| 10807 | at::Tensor & cross_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim) { |
| 10808 | return wrapper_CompositeImplicitAutograd_out_cross_out(self, other, dim, out); |
| 10809 | } |
| 10810 | at::Tensor & cross_outf(const at::Tensor & self, const at::Tensor & other, c10::optional<int64_t> dim, at::Tensor & out) { |
| 10811 | return wrapper_CompositeImplicitAutograd_out_cross_out(self, other, dim, out); |
| 10812 | } |
| 10813 | at::Tensor trace_backward(const at::Tensor & grad, at::IntArrayRef sizes) { |
| 10814 | return wrapper_CompositeImplicitAutograd__trace_backward(grad, c10::fromIntArrayRefSlow(sizes)); |
| 10815 | } |
| 10816 | at::Tensor trace_backward_symint(const at::Tensor & grad, c10::SymIntArrayRef sizes) { |
| 10817 | return wrapper_CompositeImplicitAutograd__trace_backward(grad, sizes); |
| 10818 | } |
| 10819 | at::Tensor not_equal(const at::Tensor & self, const at::Scalar & other) { |
| 10820 | return wrapper_CompositeImplicitAutograd_Scalar_not_equal(self, other); |
| 10821 | } |
| 10822 | at::Tensor & not_equal_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 10823 | return wrapper_CompositeImplicitAutograd_Scalar_out_not_equal_out(self, other, out); |
| 10824 | } |
| 10825 | at::Tensor & not_equal_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 10826 | return wrapper_CompositeImplicitAutograd_Scalar_out_not_equal_out(self, other, out); |
| 10827 | } |
| 10828 | at::Tensor & not_equal_(at::Tensor & self, const at::Scalar & other) { |
| 10829 | return wrapper_CompositeImplicitAutograd_Scalar_not_equal_(self, other); |
| 10830 | } |
| 10831 | at::Tensor not_equal(const at::Tensor & self, const at::Tensor & other) { |
| 10832 | return wrapper_CompositeImplicitAutograd_Tensor_not_equal(self, other); |
| 10833 | } |
| 10834 | at::Tensor & not_equal_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10835 | return wrapper_CompositeImplicitAutograd_Tensor_out_not_equal_out(self, other, out); |
| 10836 | } |
| 10837 | at::Tensor & not_equal_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10838 | return wrapper_CompositeImplicitAutograd_Tensor_out_not_equal_out(self, other, out); |
| 10839 | } |
| 10840 | at::Tensor & not_equal_(at::Tensor & self, const at::Tensor & other) { |
| 10841 | return wrapper_CompositeImplicitAutograd_Tensor_not_equal_(self, other); |
| 10842 | } |
| 10843 | at::Tensor greater_equal(const at::Tensor & self, const at::Scalar & other) { |
| 10844 | return wrapper_CompositeImplicitAutograd_Scalar_greater_equal(self, other); |
| 10845 | } |
| 10846 | at::Tensor & greater_equal_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 10847 | return wrapper_CompositeImplicitAutograd_Scalar_out_greater_equal_out(self, other, out); |
| 10848 | } |
| 10849 | at::Tensor & greater_equal_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 10850 | return wrapper_CompositeImplicitAutograd_Scalar_out_greater_equal_out(self, other, out); |
| 10851 | } |
| 10852 | at::Tensor & greater_equal_(at::Tensor & self, const at::Scalar & other) { |
| 10853 | return wrapper_CompositeImplicitAutograd_Scalar_greater_equal_(self, other); |
| 10854 | } |
| 10855 | at::Tensor greater_equal(const at::Tensor & self, const at::Tensor & other) { |
| 10856 | return wrapper_CompositeImplicitAutograd_Tensor_greater_equal(self, other); |
| 10857 | } |
| 10858 | at::Tensor & greater_equal_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10859 | return wrapper_CompositeImplicitAutograd_Tensor_out_greater_equal_out(self, other, out); |
| 10860 | } |
| 10861 | at::Tensor & greater_equal_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10862 | return wrapper_CompositeImplicitAutograd_Tensor_out_greater_equal_out(self, other, out); |
| 10863 | } |
| 10864 | at::Tensor & greater_equal_(at::Tensor & self, const at::Tensor & other) { |
| 10865 | return wrapper_CompositeImplicitAutograd_Tensor_greater_equal_(self, other); |
| 10866 | } |
| 10867 | at::Tensor less_equal(const at::Tensor & self, const at::Scalar & other) { |
| 10868 | return wrapper_CompositeImplicitAutograd_Scalar_less_equal(self, other); |
| 10869 | } |
| 10870 | at::Tensor & less_equal_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 10871 | return wrapper_CompositeImplicitAutograd_Scalar_out_less_equal_out(self, other, out); |
| 10872 | } |
| 10873 | at::Tensor & less_equal_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 10874 | return wrapper_CompositeImplicitAutograd_Scalar_out_less_equal_out(self, other, out); |
| 10875 | } |
| 10876 | at::Tensor & less_equal_(at::Tensor & self, const at::Scalar & other) { |
| 10877 | return wrapper_CompositeImplicitAutograd_Scalar_less_equal_(self, other); |
| 10878 | } |
| 10879 | at::Tensor less_equal(const at::Tensor & self, const at::Tensor & other) { |
| 10880 | return wrapper_CompositeImplicitAutograd_Tensor_less_equal(self, other); |
| 10881 | } |
| 10882 | at::Tensor & less_equal_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10883 | return wrapper_CompositeImplicitAutograd_Tensor_out_less_equal_out(self, other, out); |
| 10884 | } |
| 10885 | at::Tensor & less_equal_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10886 | return wrapper_CompositeImplicitAutograd_Tensor_out_less_equal_out(self, other, out); |
| 10887 | } |
| 10888 | at::Tensor & less_equal_(at::Tensor & self, const at::Tensor & other) { |
| 10889 | return wrapper_CompositeImplicitAutograd_Tensor_less_equal_(self, other); |
| 10890 | } |
| 10891 | at::Tensor greater(const at::Tensor & self, const at::Scalar & other) { |
| 10892 | return wrapper_CompositeImplicitAutograd_Scalar_greater(self, other); |
| 10893 | } |
| 10894 | at::Tensor & greater_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 10895 | return wrapper_CompositeImplicitAutograd_Scalar_out_greater_out(self, other, out); |
| 10896 | } |
| 10897 | at::Tensor & greater_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 10898 | return wrapper_CompositeImplicitAutograd_Scalar_out_greater_out(self, other, out); |
| 10899 | } |
| 10900 | at::Tensor & greater_(at::Tensor & self, const at::Scalar & other) { |
| 10901 | return wrapper_CompositeImplicitAutograd_Scalar_greater_(self, other); |
| 10902 | } |
| 10903 | at::Tensor greater(const at::Tensor & self, const at::Tensor & other) { |
| 10904 | return wrapper_CompositeImplicitAutograd_Tensor_greater(self, other); |
| 10905 | } |
| 10906 | at::Tensor & greater_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10907 | return wrapper_CompositeImplicitAutograd_Tensor_out_greater_out(self, other, out); |
| 10908 | } |
| 10909 | at::Tensor & greater_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10910 | return wrapper_CompositeImplicitAutograd_Tensor_out_greater_out(self, other, out); |
| 10911 | } |
| 10912 | at::Tensor & greater_(at::Tensor & self, const at::Tensor & other) { |
| 10913 | return wrapper_CompositeImplicitAutograd_Tensor_greater_(self, other); |
| 10914 | } |
| 10915 | at::Tensor less(const at::Tensor & self, const at::Scalar & other) { |
| 10916 | return wrapper_CompositeImplicitAutograd_Scalar_less(self, other); |
| 10917 | } |
| 10918 | at::Tensor & less_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 10919 | return wrapper_CompositeImplicitAutograd_Scalar_out_less_out(self, other, out); |
| 10920 | } |
| 10921 | at::Tensor & less_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 10922 | return wrapper_CompositeImplicitAutograd_Scalar_out_less_out(self, other, out); |
| 10923 | } |
| 10924 | at::Tensor & less_(at::Tensor & self, const at::Scalar & other) { |
| 10925 | return wrapper_CompositeImplicitAutograd_Scalar_less_(self, other); |
| 10926 | } |
| 10927 | at::Tensor less(const at::Tensor & self, const at::Tensor & other) { |
| 10928 | return wrapper_CompositeImplicitAutograd_Tensor_less(self, other); |
| 10929 | } |
| 10930 | at::Tensor & less_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 10931 | return wrapper_CompositeImplicitAutograd_Tensor_out_less_out(self, other, out); |
| 10932 | } |
| 10933 | at::Tensor & less_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 10934 | return wrapper_CompositeImplicitAutograd_Tensor_out_less_out(self, other, out); |
| 10935 | } |
| 10936 | at::Tensor & less_(at::Tensor & self, const at::Tensor & other) { |
| 10937 | return wrapper_CompositeImplicitAutograd_Tensor_less_(self, other); |
| 10938 | } |
| 10939 | at::Tensor take_along_dim(const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim) { |
| 10940 | return wrapper_CompositeImplicitAutograd__take_along_dim(self, indices, dim); |
| 10941 | } |
| 10942 | at::Tensor & take_along_dim_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim) { |
| 10943 | return wrapper_CompositeImplicitAutograd_out_take_along_dim_out(self, indices, dim, out); |
| 10944 | } |
| 10945 | at::Tensor & take_along_dim_outf(const at::Tensor & self, const at::Tensor & indices, c10::optional<int64_t> dim, at::Tensor & out) { |
| 10946 | return wrapper_CompositeImplicitAutograd_out_take_along_dim_out(self, indices, dim, out); |
| 10947 | } |
| 10948 | at::Tensor index_select(const at::Tensor & self, at::Dimname dim, const at::Tensor & index) { |
| 10949 | return wrapper_CompositeImplicitAutograd_dimname_index_select(self, dim, index); |
| 10950 | } |
| 10951 | at::Tensor & index_select_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, const at::Tensor & index) { |
| 10952 | return wrapper_CompositeImplicitAutograd_dimname_out_index_select_out(self, dim, index, out); |
| 10953 | } |
| 10954 | at::Tensor & index_select_outf(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, at::Tensor & out) { |
| 10955 | return wrapper_CompositeImplicitAutograd_dimname_out_index_select_out(self, dim, index, out); |
| 10956 | } |
| 10957 | at::Tensor index_select_backward(const at::Tensor & grad, at::IntArrayRef self_sizes, int64_t dim, const at::Tensor & index) { |
| 10958 | return wrapper_CompositeImplicitAutograd__index_select_backward(grad, c10::fromIntArrayRefSlow(self_sizes), dim, index); |
| 10959 | } |
| 10960 | at::Tensor index_select_backward_symint(const at::Tensor & grad, c10::SymIntArrayRef self_sizes, int64_t dim, const at::Tensor & index) { |
| 10961 | return wrapper_CompositeImplicitAutograd__index_select_backward(grad, self_sizes, dim, index); |
| 10962 | } |
| 10963 | at::Tensor masked_select_backward(const at::Tensor & grad, const at::Tensor & input, const at::Tensor & mask) { |
| 10964 | return wrapper_CompositeImplicitAutograd__masked_select_backward(grad, input, mask); |
| 10965 | } |
| 10966 | ::std::vector<at::Tensor> nonzero_numpy(const at::Tensor & self) { |
| 10967 | return wrapper_CompositeImplicitAutograd__nonzero_numpy(self); |
| 10968 | } |
| 10969 | at::Tensor argwhere(const at::Tensor & self) { |
| 10970 | return wrapper_CompositeImplicitAutograd__argwhere(self); |
| 10971 | } |
| 10972 | at::Tensor gather_backward(const at::Tensor & grad, const at::Tensor & self, int64_t dim, const at::Tensor & index, bool sparse_grad) { |
| 10973 | return wrapper_CompositeImplicitAutograd__gather_backward(grad, self, dim, index, sparse_grad); |
| 10974 | } |
| 10975 | at::Tensor gather(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad) { |
| 10976 | return wrapper_CompositeImplicitAutograd_dimname_gather(self, dim, index, sparse_grad); |
| 10977 | } |
| 10978 | at::Tensor & gather_out(at::Tensor & out, const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad) { |
| 10979 | return wrapper_CompositeImplicitAutograd_dimname_out_gather_out(self, dim, index, sparse_grad, out); |
| 10980 | } |
| 10981 | at::Tensor & gather_outf(const at::Tensor & self, at::Dimname dim, const at::Tensor & index, bool sparse_grad, at::Tensor & out) { |
| 10982 | return wrapper_CompositeImplicitAutograd_dimname_out_gather_out(self, dim, index, sparse_grad, out); |
| 10983 | } |
| 10984 | at::Tensor _gather_sparse_backward(const at::Tensor & self, int64_t dim, const at::Tensor & index, const at::Tensor & grad) { |
| 10985 | return wrapper_CompositeImplicitAutograd___gather_sparse_backward(self, dim, index, grad); |
| 10986 | } |
| 10987 | at::Tensor cross_entropy_loss(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, double label_smoothing) { |
| 10988 | return wrapper_CompositeImplicitAutograd__cross_entropy_loss(self, target, weight, reduction, ignore_index, label_smoothing); |
| 10989 | } |
| 10990 | at::Tensor cross_entropy_loss_symint(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, double label_smoothing) { |
| 10991 | return wrapper_CompositeImplicitAutograd__cross_entropy_loss(self, target, weight, reduction, ignore_index, label_smoothing); |
| 10992 | } |
| 10993 | at::Tensor linalg_vander(const at::Tensor & x, c10::optional<int64_t> N) { |
| 10994 | return wrapper_CompositeImplicitAutograd__linalg_vander(x, N); |
| 10995 | } |
| 10996 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> svd(const at::Tensor & self, bool some, bool compute_uv) { |
| 10997 | return wrapper_CompositeImplicitAutograd__svd(self, some, compute_uv); |
| 10998 | } |
| 10999 | ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> svd_out(at::Tensor & U, at::Tensor & S, at::Tensor & V, const at::Tensor & self, bool some, bool compute_uv) { |
| 11000 | return wrapper_CompositeImplicitAutograd_U_svd_out(self, some, compute_uv, U, S, V); |
| 11001 | } |
| 11002 | ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> svd_outf(const at::Tensor & self, bool some, bool compute_uv, at::Tensor & U, at::Tensor & S, at::Tensor & V) { |
| 11003 | return wrapper_CompositeImplicitAutograd_U_svd_out(self, some, compute_uv, U, S, V); |
| 11004 | } |
| 11005 | at::Tensor swapaxes(const at::Tensor & self, int64_t axis0, int64_t axis1) { |
| 11006 | return wrapper_CompositeImplicitAutograd__swapaxes(self, axis0, axis1); |
| 11007 | } |
| 11008 | at::Tensor & swapaxes_(at::Tensor & self, int64_t axis0, int64_t axis1) { |
| 11009 | return wrapper_CompositeImplicitAutograd__swapaxes_(self, axis0, axis1); |
| 11010 | } |
| 11011 | at::Tensor swapdims(const at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 11012 | return wrapper_CompositeImplicitAutograd__swapdims(self, dim0, dim1); |
| 11013 | } |
| 11014 | at::Tensor & swapdims_(at::Tensor & self, int64_t dim0, int64_t dim1) { |
| 11015 | return wrapper_CompositeImplicitAutograd__swapdims_(self, dim0, dim1); |
| 11016 | } |
| 11017 | ::std::tuple<at::Tensor,at::Tensor> qr(const at::Tensor & self, bool some) { |
| 11018 | return wrapper_CompositeImplicitAutograd__qr(self, some); |
| 11019 | } |
| 11020 | ::std::tuple<at::Tensor &,at::Tensor &> qr_out(at::Tensor & Q, at::Tensor & R, const at::Tensor & self, bool some) { |
| 11021 | return wrapper_CompositeImplicitAutograd_Q_qr_out(self, some, Q, R); |
| 11022 | } |
| 11023 | ::std::tuple<at::Tensor &,at::Tensor &> qr_outf(const at::Tensor & self, bool some, at::Tensor & Q, at::Tensor & R) { |
| 11024 | return wrapper_CompositeImplicitAutograd_Q_qr_out(self, some, Q, R); |
| 11025 | } |
| 11026 | at::Tensor orgqr(const at::Tensor & self, const at::Tensor & input2) { |
| 11027 | return wrapper_CompositeImplicitAutograd__orgqr(self, input2); |
| 11028 | } |
| 11029 | at::Tensor & orgqr_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & input2) { |
| 11030 | return wrapper_CompositeImplicitAutograd_out_orgqr_out(self, input2, out); |
| 11031 | } |
| 11032 | at::Tensor & orgqr_outf(const at::Tensor & self, const at::Tensor & input2, at::Tensor & out) { |
| 11033 | return wrapper_CompositeImplicitAutograd_out_orgqr_out(self, input2, out); |
| 11034 | } |
| 11035 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _lu_with_info(const at::Tensor & self, bool pivot, bool check_errors) { |
| 11036 | return wrapper_CompositeImplicitAutograd___lu_with_info(self, pivot, check_errors); |
| 11037 | } |
| 11038 | at::Tensor lu_solve(const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots) { |
| 11039 | return wrapper_CompositeImplicitAutograd__lu_solve(self, LU_data, LU_pivots); |
| 11040 | } |
| 11041 | at::Tensor & lu_solve_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots) { |
| 11042 | return wrapper_CompositeImplicitAutograd_out_lu_solve_out(self, LU_data, LU_pivots, out); |
| 11043 | } |
| 11044 | at::Tensor & lu_solve_outf(const at::Tensor & self, const at::Tensor & LU_data, const at::Tensor & LU_pivots, at::Tensor & out) { |
| 11045 | return wrapper_CompositeImplicitAutograd_out_lu_solve_out(self, LU_data, LU_pivots, out); |
| 11046 | } |
| 11047 | at::Tensor arctan2(const at::Tensor & self, const at::Tensor & other) { |
| 11048 | return wrapper_CompositeImplicitAutograd__arctan2(self, other); |
| 11049 | } |
| 11050 | at::Tensor & arctan2_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11051 | return wrapper_CompositeImplicitAutograd_out_arctan2_out(self, other, out); |
| 11052 | } |
| 11053 | at::Tensor & arctan2_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11054 | return wrapper_CompositeImplicitAutograd_out_arctan2_out(self, other, out); |
| 11055 | } |
| 11056 | at::Tensor & arctan2_(at::Tensor & self, const at::Tensor & other) { |
| 11057 | return wrapper_CompositeImplicitAutograd__arctan2_(self, other); |
| 11058 | } |
| 11059 | ::std::tuple<at::Tensor,::std::vector<at::Tensor>> histogramdd(const at::Tensor & self, at::IntArrayRef bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density) { |
| 11060 | return wrapper_CompositeImplicitAutograd__histogramdd(self, bins, range, weight, density); |
| 11061 | } |
| 11062 | ::std::tuple<at::Tensor,::std::vector<at::Tensor>> histogramdd(const at::Tensor & self, int64_t bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density) { |
| 11063 | return wrapper_CompositeImplicitAutograd_int_bins_histogramdd(self, bins, range, weight, density); |
| 11064 | } |
| 11065 | ::std::tuple<at::Tensor,::std::vector<at::Tensor>> histogramdd(const at::Tensor & self, at::TensorList bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density) { |
| 11066 | return wrapper_CompositeImplicitAutograd_TensorList_bins_histogramdd(self, bins, range, weight, density); |
| 11067 | } |
| 11068 | at::Tensor max(const at::Tensor & self, const at::Tensor & other) { |
| 11069 | return wrapper_CompositeImplicitAutograd_other_max(self, other); |
| 11070 | } |
| 11071 | at::Tensor & max_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11072 | return wrapper_CompositeImplicitAutograd_out_max_out(self, other, out); |
| 11073 | } |
| 11074 | at::Tensor & max_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11075 | return wrapper_CompositeImplicitAutograd_out_max_out(self, other, out); |
| 11076 | } |
| 11077 | at::Tensor min(const at::Tensor & self, const at::Tensor & other) { |
| 11078 | return wrapper_CompositeImplicitAutograd_other_min(self, other); |
| 11079 | } |
| 11080 | at::Tensor & min_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11081 | return wrapper_CompositeImplicitAutograd_out_min_out(self, other, out); |
| 11082 | } |
| 11083 | at::Tensor & min_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11084 | return wrapper_CompositeImplicitAutograd_out_min_out(self, other, out); |
| 11085 | } |
| 11086 | at::Tensor quantile(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11087 | return wrapper_CompositeImplicitAutograd__quantile(self, q, dim, keepdim, interpolation); |
| 11088 | } |
| 11089 | at::Tensor & quantile_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11090 | return wrapper_CompositeImplicitAutograd_out_quantile_out(self, q, dim, keepdim, interpolation, out); |
| 11091 | } |
| 11092 | at::Tensor & quantile_outf(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11093 | return wrapper_CompositeImplicitAutograd_out_quantile_out(self, q, dim, keepdim, interpolation, out); |
| 11094 | } |
| 11095 | at::Tensor quantile(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11096 | return wrapper_CompositeImplicitAutograd_scalar_quantile(self, q, dim, keepdim, interpolation); |
| 11097 | } |
| 11098 | at::Tensor & quantile_out(at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11099 | return wrapper_CompositeImplicitAutograd_scalar_out_quantile_out(self, q, dim, keepdim, interpolation, out); |
| 11100 | } |
| 11101 | at::Tensor & quantile_outf(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11102 | return wrapper_CompositeImplicitAutograd_scalar_out_quantile_out(self, q, dim, keepdim, interpolation, out); |
| 11103 | } |
| 11104 | at::Tensor nanquantile(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11105 | return wrapper_CompositeImplicitAutograd__nanquantile(self, q, dim, keepdim, interpolation); |
| 11106 | } |
| 11107 | at::Tensor & nanquantile_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11108 | return wrapper_CompositeImplicitAutograd_out_nanquantile_out(self, q, dim, keepdim, interpolation, out); |
| 11109 | } |
| 11110 | at::Tensor & nanquantile_outf(const at::Tensor & self, const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11111 | return wrapper_CompositeImplicitAutograd_out_nanquantile_out(self, q, dim, keepdim, interpolation, out); |
| 11112 | } |
| 11113 | at::Tensor nanquantile(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11114 | return wrapper_CompositeImplicitAutograd_scalar_nanquantile(self, q, dim, keepdim, interpolation); |
| 11115 | } |
| 11116 | at::Tensor & nanquantile_out(at::Tensor & out, const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) { |
| 11117 | return wrapper_CompositeImplicitAutograd_scalar_out_nanquantile_out(self, q, dim, keepdim, interpolation, out); |
| 11118 | } |
| 11119 | at::Tensor & nanquantile_outf(const at::Tensor & self, double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation, at::Tensor & out) { |
| 11120 | return wrapper_CompositeImplicitAutograd_scalar_out_nanquantile_out(self, q, dim, keepdim, interpolation, out); |
| 11121 | } |
| 11122 | ::std::tuple<at::Tensor,at::Tensor> sort(const at::Tensor & self, at::Dimname dim, bool descending) { |
| 11123 | return wrapper_CompositeImplicitAutograd_dimname_sort(self, dim, descending); |
| 11124 | } |
| 11125 | ::std::tuple<at::Tensor &,at::Tensor &> sort_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, at::Dimname dim, bool descending) { |
| 11126 | return wrapper_CompositeImplicitAutograd_dimname_values_sort_out(self, dim, descending, values, indices); |
| 11127 | } |
| 11128 | ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(const at::Tensor & self, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 11129 | return wrapper_CompositeImplicitAutograd_dimname_values_sort_out(self, dim, descending, values, indices); |
| 11130 | } |
| 11131 | ::std::tuple<at::Tensor,at::Tensor> sort(const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending) { |
| 11132 | return wrapper_CompositeImplicitAutograd_dimname_stable_sort(self, stable, dim, descending); |
| 11133 | } |
| 11134 | ::std::tuple<at::Tensor &,at::Tensor &> sort_out(at::Tensor & values, at::Tensor & indices, const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending) { |
| 11135 | return wrapper_CompositeImplicitAutograd_dimname_values_stable_sort_out(self, stable, dim, descending, values, indices); |
| 11136 | } |
| 11137 | ::std::tuple<at::Tensor &,at::Tensor &> sort_outf(const at::Tensor & self, c10::optional<bool> stable, at::Dimname dim, bool descending, at::Tensor & values, at::Tensor & indices) { |
| 11138 | return wrapper_CompositeImplicitAutograd_dimname_values_stable_sort_out(self, stable, dim, descending, values, indices); |
| 11139 | } |
| 11140 | at::Tensor msort(const at::Tensor & self) { |
| 11141 | return wrapper_CompositeImplicitAutograd__msort(self); |
| 11142 | } |
| 11143 | at::Tensor & msort_out(at::Tensor & out, const at::Tensor & self) { |
| 11144 | return wrapper_CompositeImplicitAutograd_out_msort_out(self, out); |
| 11145 | } |
| 11146 | at::Tensor & msort_outf(const at::Tensor & self, at::Tensor & out) { |
| 11147 | return wrapper_CompositeImplicitAutograd_out_msort_out(self, out); |
| 11148 | } |
| 11149 | at::Tensor argsort(const at::Tensor & self, int64_t dim, bool descending) { |
| 11150 | return wrapper_CompositeImplicitAutograd__argsort(self, dim, descending); |
| 11151 | } |
| 11152 | at::Tensor argsort(const at::Tensor & self, at::Dimname dim, bool descending) { |
| 11153 | return wrapper_CompositeImplicitAutograd_dimname_argsort(self, dim, descending); |
| 11154 | } |
| 11155 | at::Tensor float_power(const at::Tensor & self, const at::Tensor & exponent) { |
| 11156 | return wrapper_CompositeImplicitAutograd_Tensor_Tensor_float_power(self, exponent); |
| 11157 | } |
| 11158 | at::Tensor & float_power_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & exponent) { |
| 11159 | return wrapper_CompositeImplicitAutograd_Tensor_Tensor_out_float_power_out(self, exponent, out); |
| 11160 | } |
| 11161 | at::Tensor & float_power_outf(const at::Tensor & self, const at::Tensor & exponent, at::Tensor & out) { |
| 11162 | return wrapper_CompositeImplicitAutograd_Tensor_Tensor_out_float_power_out(self, exponent, out); |
| 11163 | } |
| 11164 | at::Tensor & float_power_(at::Tensor & self, const at::Tensor & exponent) { |
| 11165 | return wrapper_CompositeImplicitAutograd_Tensor_float_power_(self, exponent); |
| 11166 | } |
| 11167 | at::Tensor float_power(const at::Scalar & self, const at::Tensor & exponent) { |
| 11168 | return wrapper_CompositeImplicitAutograd_Scalar_float_power(self, exponent); |
| 11169 | } |
| 11170 | at::Tensor & float_power_out(at::Tensor & out, const at::Scalar & self, const at::Tensor & exponent) { |
| 11171 | return wrapper_CompositeImplicitAutograd_Scalar_out_float_power_out(self, exponent, out); |
| 11172 | } |
| 11173 | at::Tensor & float_power_outf(const at::Scalar & self, const at::Tensor & exponent, at::Tensor & out) { |
| 11174 | return wrapper_CompositeImplicitAutograd_Scalar_out_float_power_out(self, exponent, out); |
| 11175 | } |
| 11176 | at::Tensor float_power(const at::Tensor & self, const at::Scalar & exponent) { |
| 11177 | return wrapper_CompositeImplicitAutograd_Tensor_Scalar_float_power(self, exponent); |
| 11178 | } |
| 11179 | at::Tensor & float_power_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & exponent) { |
| 11180 | return wrapper_CompositeImplicitAutograd_Tensor_Scalar_out_float_power_out(self, exponent, out); |
| 11181 | } |
| 11182 | at::Tensor & float_power_outf(const at::Tensor & self, const at::Scalar & exponent, at::Tensor & out) { |
| 11183 | return wrapper_CompositeImplicitAutograd_Tensor_Scalar_out_float_power_out(self, exponent, out); |
| 11184 | } |
| 11185 | at::Tensor & float_power_(at::Tensor & self, const at::Scalar & exponent) { |
| 11186 | return wrapper_CompositeImplicitAutograd_Scalar_float_power_(self, exponent); |
| 11187 | } |
| 11188 | at::Tensor l1_loss(const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 11189 | return wrapper_CompositeImplicitAutograd__l1_loss(self, target, reduction); |
| 11190 | } |
| 11191 | at::Tensor multilabel_margin_loss(const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 11192 | return wrapper_CompositeImplicitAutograd__multilabel_margin_loss(self, target, reduction); |
| 11193 | } |
| 11194 | at::Tensor & multilabel_margin_loss_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, int64_t reduction) { |
| 11195 | return wrapper_CompositeImplicitAutograd_out_multilabel_margin_loss_out(self, target, reduction, out); |
| 11196 | } |
| 11197 | at::Tensor & multilabel_margin_loss_outf(const at::Tensor & self, const at::Tensor & target, int64_t reduction, at::Tensor & out) { |
| 11198 | return wrapper_CompositeImplicitAutograd_out_multilabel_margin_loss_out(self, target, reduction, out); |
| 11199 | } |
| 11200 | at::Tensor nll_loss(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 11201 | return wrapper_CompositeImplicitAutograd__nll_loss(self, target, weight, reduction, ignore_index); |
| 11202 | } |
| 11203 | at::Tensor nll_loss_symint(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 11204 | return wrapper_CompositeImplicitAutograd__nll_loss(self, target, weight, reduction, ignore_index); |
| 11205 | } |
| 11206 | at::Tensor & nll_loss_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 11207 | return wrapper_CompositeImplicitAutograd_out_nll_loss_out(self, target, weight, reduction, ignore_index, out); |
| 11208 | } |
| 11209 | at::Tensor & nll_loss_outf(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & out) { |
| 11210 | return wrapper_CompositeImplicitAutograd_out_nll_loss_out(self, target, weight, reduction, ignore_index, out); |
| 11211 | } |
| 11212 | at::Tensor & nll_loss_symint_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 11213 | return wrapper_CompositeImplicitAutograd_out_nll_loss_out(self, target, weight, reduction, ignore_index, out); |
| 11214 | } |
| 11215 | at::Tensor & nll_loss_symint_outf(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & out) { |
| 11216 | return wrapper_CompositeImplicitAutograd_out_nll_loss_out(self, target, weight, reduction, ignore_index, out); |
| 11217 | } |
| 11218 | at::Tensor nll_loss_nd(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 11219 | return wrapper_CompositeImplicitAutograd__nll_loss_nd(self, target, weight, reduction, ignore_index); |
| 11220 | } |
| 11221 | at::Tensor nll_loss_nd_symint(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 11222 | return wrapper_CompositeImplicitAutograd__nll_loss_nd(self, target, weight, reduction, ignore_index); |
| 11223 | } |
| 11224 | at::Tensor nll_loss2d(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 11225 | return wrapper_CompositeImplicitAutograd__nll_loss2d(self, target, weight, reduction, ignore_index); |
| 11226 | } |
| 11227 | at::Tensor nll_loss2d_symint(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 11228 | return wrapper_CompositeImplicitAutograd__nll_loss2d(self, target, weight, reduction, ignore_index); |
| 11229 | } |
| 11230 | at::Tensor & nll_loss2d_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index) { |
| 11231 | return wrapper_CompositeImplicitAutograd_out_nll_loss2d_out(self, target, weight, reduction, ignore_index, out); |
| 11232 | } |
| 11233 | at::Tensor & nll_loss2d_outf(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, int64_t ignore_index, at::Tensor & out) { |
| 11234 | return wrapper_CompositeImplicitAutograd_out_nll_loss2d_out(self, target, weight, reduction, ignore_index, out); |
| 11235 | } |
| 11236 | at::Tensor & nll_loss2d_symint_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index) { |
| 11237 | return wrapper_CompositeImplicitAutograd_out_nll_loss2d_out(self, target, weight, reduction, ignore_index, out); |
| 11238 | } |
| 11239 | at::Tensor & nll_loss2d_symint_outf(const at::Tensor & self, const at::Tensor & target, const c10::optional<at::Tensor> & weight, int64_t reduction, c10::SymInt ignore_index, at::Tensor & out) { |
| 11240 | return wrapper_CompositeImplicitAutograd_out_nll_loss2d_out(self, target, weight, reduction, ignore_index, out); |
| 11241 | } |
| 11242 | at::Tensor log_sigmoid(const at::Tensor & self) { |
| 11243 | return wrapper_CompositeImplicitAutograd__log_sigmoid(self); |
| 11244 | } |
| 11245 | at::Tensor & log_sigmoid_out(at::Tensor & out, const at::Tensor & self) { |
| 11246 | return wrapper_CompositeImplicitAutograd_out_log_sigmoid_out(self, out); |
| 11247 | } |
| 11248 | at::Tensor & log_sigmoid_outf(const at::Tensor & self, at::Tensor & out) { |
| 11249 | return wrapper_CompositeImplicitAutograd_out_log_sigmoid_out(self, out); |
| 11250 | } |
| 11251 | at::Tensor adaptive_avg_pool2d(const at::Tensor & self, at::IntArrayRef output_size) { |
| 11252 | return wrapper_CompositeImplicitAutograd__adaptive_avg_pool2d(self, c10::fromIntArrayRefSlow(output_size)); |
| 11253 | } |
| 11254 | at::Tensor adaptive_avg_pool2d_symint(const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 11255 | return wrapper_CompositeImplicitAutograd__adaptive_avg_pool2d(self, output_size); |
| 11256 | } |
| 11257 | at::Tensor adaptive_avg_pool3d(const at::Tensor & self, at::IntArrayRef output_size) { |
| 11258 | return wrapper_CompositeImplicitAutograd__adaptive_avg_pool3d(self, c10::fromIntArrayRefSlow(output_size)); |
| 11259 | } |
| 11260 | at::Tensor adaptive_avg_pool3d_symint(const at::Tensor & self, c10::SymIntArrayRef output_size) { |
| 11261 | return wrapper_CompositeImplicitAutograd__adaptive_avg_pool3d(self, output_size); |
| 11262 | } |
| 11263 | at::Tensor _pad_circular(const at::Tensor & self, at::IntArrayRef pad) { |
| 11264 | return wrapper_CompositeImplicitAutograd___pad_circular(self, c10::fromIntArrayRefSlow(pad)); |
| 11265 | } |
| 11266 | at::Tensor _pad_circular_symint(const at::Tensor & self, c10::SymIntArrayRef pad) { |
| 11267 | return wrapper_CompositeImplicitAutograd___pad_circular(self, pad); |
| 11268 | } |
| 11269 | at::Tensor _pad_enum(const at::Tensor & self, at::IntArrayRef pad, int64_t mode, c10::optional<double> value) { |
| 11270 | return wrapper_CompositeImplicitAutograd___pad_enum(self, c10::fromIntArrayRefSlow(pad), mode, value); |
| 11271 | } |
| 11272 | at::Tensor _pad_enum_symint(const at::Tensor & self, c10::SymIntArrayRef pad, int64_t mode, c10::optional<double> value) { |
| 11273 | return wrapper_CompositeImplicitAutograd___pad_enum(self, pad, mode, value); |
| 11274 | } |
| 11275 | at::Tensor pad(const at::Tensor & self, at::IntArrayRef pad, c10::string_view mode, c10::optional<double> value) { |
| 11276 | return wrapper_CompositeImplicitAutograd__pad(self, c10::fromIntArrayRefSlow(pad), mode, value); |
| 11277 | } |
| 11278 | at::Tensor pad_symint(const at::Tensor & self, c10::SymIntArrayRef pad, c10::string_view mode, c10::optional<double> value) { |
| 11279 | return wrapper_CompositeImplicitAutograd__pad(self, pad, mode, value); |
| 11280 | } |
| 11281 | at::Tensor upsample_linear1d(const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11282 | return wrapper_CompositeImplicitAutograd_vec_upsample_linear1d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 11283 | } |
| 11284 | at::Tensor upsample_linear1d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11285 | return wrapper_CompositeImplicitAutograd_vec_upsample_linear1d(input, output_size, align_corners, scale_factors); |
| 11286 | } |
| 11287 | at::Tensor upsample_bilinear2d(const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11288 | return wrapper_CompositeImplicitAutograd_vec_upsample_bilinear2d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 11289 | } |
| 11290 | at::Tensor upsample_bilinear2d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11291 | return wrapper_CompositeImplicitAutograd_vec_upsample_bilinear2d(input, output_size, align_corners, scale_factors); |
| 11292 | } |
| 11293 | at::Tensor _upsample_bilinear2d_aa(const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11294 | return wrapper_CompositeImplicitAutograd_vec__upsample_bilinear2d_aa(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 11295 | } |
| 11296 | at::Tensor _upsample_bilinear2d_aa_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11297 | return wrapper_CompositeImplicitAutograd_vec__upsample_bilinear2d_aa(input, output_size, align_corners, scale_factors); |
| 11298 | } |
| 11299 | at::Tensor upsample_trilinear3d(const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11300 | return wrapper_CompositeImplicitAutograd_vec_upsample_trilinear3d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 11301 | } |
| 11302 | at::Tensor upsample_trilinear3d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11303 | return wrapper_CompositeImplicitAutograd_vec_upsample_trilinear3d(input, output_size, align_corners, scale_factors); |
| 11304 | } |
| 11305 | at::Tensor upsample_bicubic2d(const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11306 | return wrapper_CompositeImplicitAutograd_vec_upsample_bicubic2d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 11307 | } |
| 11308 | at::Tensor upsample_bicubic2d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11309 | return wrapper_CompositeImplicitAutograd_vec_upsample_bicubic2d(input, output_size, align_corners, scale_factors); |
| 11310 | } |
| 11311 | at::Tensor _upsample_bicubic2d_aa(const at::Tensor & input, at::OptionalIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11312 | return wrapper_CompositeImplicitAutograd_vec__upsample_bicubic2d_aa(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, align_corners, scale_factors); |
| 11313 | } |
| 11314 | at::Tensor _upsample_bicubic2d_aa_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, bool align_corners, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11315 | return wrapper_CompositeImplicitAutograd_vec__upsample_bicubic2d_aa(input, output_size, align_corners, scale_factors); |
| 11316 | } |
| 11317 | at::Tensor upsample_nearest1d(const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11318 | return wrapper_CompositeImplicitAutograd_vec_upsample_nearest1d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 11319 | } |
| 11320 | at::Tensor upsample_nearest1d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11321 | return wrapper_CompositeImplicitAutograd_vec_upsample_nearest1d(input, output_size, scale_factors); |
| 11322 | } |
| 11323 | at::Tensor _upsample_nearest_exact1d(const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11324 | return wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact1d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 11325 | } |
| 11326 | at::Tensor _upsample_nearest_exact1d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11327 | return wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact1d(input, output_size, scale_factors); |
| 11328 | } |
| 11329 | at::Tensor upsample_nearest2d(const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11330 | return wrapper_CompositeImplicitAutograd_vec_upsample_nearest2d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 11331 | } |
| 11332 | at::Tensor upsample_nearest2d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11333 | return wrapper_CompositeImplicitAutograd_vec_upsample_nearest2d(input, output_size, scale_factors); |
| 11334 | } |
| 11335 | at::Tensor _upsample_nearest_exact2d(const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11336 | return wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact2d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 11337 | } |
| 11338 | at::Tensor _upsample_nearest_exact2d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11339 | return wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact2d(input, output_size, scale_factors); |
| 11340 | } |
| 11341 | at::Tensor upsample_nearest3d(const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11342 | return wrapper_CompositeImplicitAutograd_vec_upsample_nearest3d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 11343 | } |
| 11344 | at::Tensor upsample_nearest3d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11345 | return wrapper_CompositeImplicitAutograd_vec_upsample_nearest3d(input, output_size, scale_factors); |
| 11346 | } |
| 11347 | at::Tensor _upsample_nearest_exact3d(const at::Tensor & input, at::OptionalIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11348 | return wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact3d(input, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt, scale_factors); |
| 11349 | } |
| 11350 | at::Tensor _upsample_nearest_exact3d_symint(const at::Tensor & input, at::OptionalSymIntArrayRef output_size, c10::optional<at::ArrayRef<double>> scale_factors) { |
| 11351 | return wrapper_CompositeImplicitAutograd_vec__upsample_nearest_exact3d(input, output_size, scale_factors); |
| 11352 | } |
| 11353 | at::Tensor thnn_conv2d(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 11354 | return wrapper_CompositeImplicitAutograd__thnn_conv2d(self, weight, kernel_size, bias, stride, padding); |
| 11355 | } |
| 11356 | at::Tensor & thnn_conv2d_out(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) { |
| 11357 | return wrapper_CompositeImplicitAutograd_out_thnn_conv2d_out(self, weight, kernel_size, bias, stride, padding, out); |
| 11358 | } |
| 11359 | at::Tensor & thnn_conv2d_outf(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) { |
| 11360 | return wrapper_CompositeImplicitAutograd_out_thnn_conv2d_out(self, weight, kernel_size, bias, stride, padding, out); |
| 11361 | } |
| 11362 | at::Tensor slow_conv3d(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, at::IntArrayRef padding) { |
| 11363 | return wrapper_CompositeImplicitAutograd__slow_conv3d(self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding)); |
| 11364 | } |
| 11365 | at::Tensor slow_conv3d_symint(const at::Tensor & self, const at::Tensor & weight, at::IntArrayRef kernel_size, const c10::optional<at::Tensor> & bias, at::IntArrayRef stride, c10::SymIntArrayRef padding) { |
| 11366 | return wrapper_CompositeImplicitAutograd__slow_conv3d(self, weight, kernel_size, bias, stride, padding); |
| 11367 | } |
| 11368 | at::Tensor & slow_conv3d_out(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) { |
| 11369 | return wrapper_CompositeImplicitAutograd_out_slow_conv3d_out(self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), out); |
| 11370 | } |
| 11371 | at::Tensor & slow_conv3d_outf(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) { |
| 11372 | return wrapper_CompositeImplicitAutograd_out_slow_conv3d_out(self, weight, kernel_size, bias, stride, c10::fromIntArrayRefSlow(padding), out); |
| 11373 | } |
| 11374 | at::Tensor & slow_conv3d_symint_out(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) { |
| 11375 | return wrapper_CompositeImplicitAutograd_out_slow_conv3d_out(self, weight, kernel_size, bias, stride, padding, out); |
| 11376 | } |
| 11377 | at::Tensor & slow_conv3d_symint_outf(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) { |
| 11378 | return wrapper_CompositeImplicitAutograd_out_slow_conv3d_out(self, weight, kernel_size, bias, stride, padding, out); |
| 11379 | } |
| 11380 | at::Tensor column_stack(at::TensorList tensors) { |
| 11381 | return wrapper_CompositeImplicitAutograd__column_stack(tensors); |
| 11382 | } |
| 11383 | at::Tensor & column_stack_out(at::Tensor & out, at::TensorList tensors) { |
| 11384 | return wrapper_CompositeImplicitAutograd_out_column_stack_out(tensors, out); |
| 11385 | } |
| 11386 | at::Tensor & column_stack_outf(at::TensorList tensors, at::Tensor & out) { |
| 11387 | return wrapper_CompositeImplicitAutograd_out_column_stack_out(tensors, out); |
| 11388 | } |
| 11389 | at::Tensor isfinite(const at::Tensor & self) { |
| 11390 | return wrapper_CompositeImplicitAutograd__isfinite(self); |
| 11391 | } |
| 11392 | at::Tensor _add_batch_dim(const at::Tensor & self, int64_t batch_dim, int64_t level) { |
| 11393 | return wrapper_CompositeImplicitAutograd___add_batch_dim(self, batch_dim, level); |
| 11394 | } |
| 11395 | at::Tensor _remove_batch_dim(const at::Tensor & self, int64_t level, int64_t batch_size, int64_t out_dim) { |
| 11396 | return wrapper_CompositeImplicitAutograd___remove_batch_dim(self, level, batch_size, out_dim); |
| 11397 | } |
| 11398 | at::Tensor special_expm1(const at::Tensor & self) { |
| 11399 | return wrapper_CompositeImplicitAutograd__special_expm1(self); |
| 11400 | } |
| 11401 | at::Tensor & special_expm1_out(at::Tensor & out, const at::Tensor & self) { |
| 11402 | return wrapper_CompositeImplicitAutograd_out_special_expm1_out(self, out); |
| 11403 | } |
| 11404 | at::Tensor & special_expm1_outf(const at::Tensor & self, at::Tensor & out) { |
| 11405 | return wrapper_CompositeImplicitAutograd_out_special_expm1_out(self, out); |
| 11406 | } |
| 11407 | at::Tensor special_exp2(const at::Tensor & self) { |
| 11408 | return wrapper_CompositeImplicitAutograd__special_exp2(self); |
| 11409 | } |
| 11410 | at::Tensor & special_exp2_out(at::Tensor & out, const at::Tensor & self) { |
| 11411 | return wrapper_CompositeImplicitAutograd_out_special_exp2_out(self, out); |
| 11412 | } |
| 11413 | at::Tensor & special_exp2_outf(const at::Tensor & self, at::Tensor & out) { |
| 11414 | return wrapper_CompositeImplicitAutograd_out_special_exp2_out(self, out); |
| 11415 | } |
| 11416 | at::Tensor special_psi(const at::Tensor & self) { |
| 11417 | return wrapper_CompositeImplicitAutograd__special_psi(self); |
| 11418 | } |
| 11419 | at::Tensor & special_psi_out(at::Tensor & out, const at::Tensor & self) { |
| 11420 | return wrapper_CompositeImplicitAutograd_out_special_psi_out(self, out); |
| 11421 | } |
| 11422 | at::Tensor & special_psi_outf(const at::Tensor & self, at::Tensor & out) { |
| 11423 | return wrapper_CompositeImplicitAutograd_out_special_psi_out(self, out); |
| 11424 | } |
| 11425 | at::Tensor special_digamma(const at::Tensor & self) { |
| 11426 | return wrapper_CompositeImplicitAutograd__special_digamma(self); |
| 11427 | } |
| 11428 | at::Tensor & special_digamma_out(at::Tensor & out, const at::Tensor & self) { |
| 11429 | return wrapper_CompositeImplicitAutograd_out_special_digamma_out(self, out); |
| 11430 | } |
| 11431 | at::Tensor & special_digamma_outf(const at::Tensor & self, at::Tensor & out) { |
| 11432 | return wrapper_CompositeImplicitAutograd_out_special_digamma_out(self, out); |
| 11433 | } |
| 11434 | at::Tensor special_gammaln(const at::Tensor & self) { |
| 11435 | return wrapper_CompositeImplicitAutograd__special_gammaln(self); |
| 11436 | } |
| 11437 | at::Tensor & special_gammaln_out(at::Tensor & out, const at::Tensor & self) { |
| 11438 | return wrapper_CompositeImplicitAutograd_out_special_gammaln_out(self, out); |
| 11439 | } |
| 11440 | at::Tensor & special_gammaln_outf(const at::Tensor & self, at::Tensor & out) { |
| 11441 | return wrapper_CompositeImplicitAutograd_out_special_gammaln_out(self, out); |
| 11442 | } |
| 11443 | at::Tensor special_erf(const at::Tensor & self) { |
| 11444 | return wrapper_CompositeImplicitAutograd__special_erf(self); |
| 11445 | } |
| 11446 | at::Tensor & special_erf_out(at::Tensor & out, const at::Tensor & self) { |
| 11447 | return wrapper_CompositeImplicitAutograd_out_special_erf_out(self, out); |
| 11448 | } |
| 11449 | at::Tensor & special_erf_outf(const at::Tensor & self, at::Tensor & out) { |
| 11450 | return wrapper_CompositeImplicitAutograd_out_special_erf_out(self, out); |
| 11451 | } |
| 11452 | at::Tensor special_erfc(const at::Tensor & self) { |
| 11453 | return wrapper_CompositeImplicitAutograd__special_erfc(self); |
| 11454 | } |
| 11455 | at::Tensor & special_erfc_out(at::Tensor & out, const at::Tensor & self) { |
| 11456 | return wrapper_CompositeImplicitAutograd_out_special_erfc_out(self, out); |
| 11457 | } |
| 11458 | at::Tensor & special_erfc_outf(const at::Tensor & self, at::Tensor & out) { |
| 11459 | return wrapper_CompositeImplicitAutograd_out_special_erfc_out(self, out); |
| 11460 | } |
| 11461 | at::Tensor special_erfinv(const at::Tensor & self) { |
| 11462 | return wrapper_CompositeImplicitAutograd__special_erfinv(self); |
| 11463 | } |
| 11464 | at::Tensor & special_erfinv_out(at::Tensor & out, const at::Tensor & self) { |
| 11465 | return wrapper_CompositeImplicitAutograd_out_special_erfinv_out(self, out); |
| 11466 | } |
| 11467 | at::Tensor & special_erfinv_outf(const at::Tensor & self, at::Tensor & out) { |
| 11468 | return wrapper_CompositeImplicitAutograd_out_special_erfinv_out(self, out); |
| 11469 | } |
| 11470 | at::Tensor special_ndtr(const at::Tensor & self) { |
| 11471 | return wrapper_CompositeImplicitAutograd__special_ndtr(self); |
| 11472 | } |
| 11473 | at::Tensor & special_ndtr_out(at::Tensor & out, const at::Tensor & self) { |
| 11474 | return wrapper_CompositeImplicitAutograd_out_special_ndtr_out(self, out); |
| 11475 | } |
| 11476 | at::Tensor & special_ndtr_outf(const at::Tensor & self, at::Tensor & out) { |
| 11477 | return wrapper_CompositeImplicitAutograd_out_special_ndtr_out(self, out); |
| 11478 | } |
| 11479 | at::Tensor special_xlogy(const at::Tensor & self, const at::Tensor & other) { |
| 11480 | return wrapper_CompositeImplicitAutograd__special_xlogy(self, other); |
| 11481 | } |
| 11482 | at::Tensor & special_xlogy_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11483 | return wrapper_CompositeImplicitAutograd_out_special_xlogy_out(self, other, out); |
| 11484 | } |
| 11485 | at::Tensor & special_xlogy_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11486 | return wrapper_CompositeImplicitAutograd_out_special_xlogy_out(self, other, out); |
| 11487 | } |
| 11488 | at::Tensor special_xlogy(const at::Scalar & self, const at::Tensor & other) { |
| 11489 | return wrapper_CompositeImplicitAutograd_self_scalar_special_xlogy(self, other); |
| 11490 | } |
| 11491 | at::Tensor & special_xlogy_out(at::Tensor & out, const at::Scalar & self, const at::Tensor & other) { |
| 11492 | return wrapper_CompositeImplicitAutograd_self_scalar_out_special_xlogy_out(self, other, out); |
| 11493 | } |
| 11494 | at::Tensor & special_xlogy_outf(const at::Scalar & self, const at::Tensor & other, at::Tensor & out) { |
| 11495 | return wrapper_CompositeImplicitAutograd_self_scalar_out_special_xlogy_out(self, other, out); |
| 11496 | } |
| 11497 | at::Tensor special_xlogy(const at::Tensor & self, const at::Scalar & other) { |
| 11498 | return wrapper_CompositeImplicitAutograd_other_scalar_special_xlogy(self, other); |
| 11499 | } |
| 11500 | at::Tensor & special_xlogy_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & other) { |
| 11501 | return wrapper_CompositeImplicitAutograd_other_scalar_out_special_xlogy_out(self, other, out); |
| 11502 | } |
| 11503 | at::Tensor & special_xlogy_outf(const at::Tensor & self, const at::Scalar & other, at::Tensor & out) { |
| 11504 | return wrapper_CompositeImplicitAutograd_other_scalar_out_special_xlogy_out(self, other, out); |
| 11505 | } |
| 11506 | at::Tensor special_i0(const at::Tensor & self) { |
| 11507 | return wrapper_CompositeImplicitAutograd__special_i0(self); |
| 11508 | } |
| 11509 | at::Tensor & special_i0_out(at::Tensor & out, const at::Tensor & self) { |
| 11510 | return wrapper_CompositeImplicitAutograd_out_special_i0_out(self, out); |
| 11511 | } |
| 11512 | at::Tensor & special_i0_outf(const at::Tensor & self, at::Tensor & out) { |
| 11513 | return wrapper_CompositeImplicitAutograd_out_special_i0_out(self, out); |
| 11514 | } |
| 11515 | at::Tensor special_logit(const at::Tensor & self, c10::optional<double> eps) { |
| 11516 | return wrapper_CompositeImplicitAutograd__special_logit(self, eps); |
| 11517 | } |
| 11518 | at::Tensor & special_logit_out(at::Tensor & out, const at::Tensor & self, c10::optional<double> eps) { |
| 11519 | return wrapper_CompositeImplicitAutograd_out_special_logit_out(self, eps, out); |
| 11520 | } |
| 11521 | at::Tensor & special_logit_outf(const at::Tensor & self, c10::optional<double> eps, at::Tensor & out) { |
| 11522 | return wrapper_CompositeImplicitAutograd_out_special_logit_out(self, eps, out); |
| 11523 | } |
| 11524 | at::Tensor special_polygamma(int64_t n, const at::Tensor & self) { |
| 11525 | return wrapper_CompositeImplicitAutograd__special_polygamma(n, self); |
| 11526 | } |
| 11527 | at::Tensor & special_polygamma_out(at::Tensor & out, int64_t n, const at::Tensor & self) { |
| 11528 | return wrapper_CompositeImplicitAutograd_out_special_polygamma_out(n, self, out); |
| 11529 | } |
| 11530 | at::Tensor & special_polygamma_outf(int64_t n, const at::Tensor & self, at::Tensor & out) { |
| 11531 | return wrapper_CompositeImplicitAutograd_out_special_polygamma_out(n, self, out); |
| 11532 | } |
| 11533 | at::Tensor special_logsumexp(const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 11534 | return wrapper_CompositeImplicitAutograd__special_logsumexp(self, dim, keepdim); |
| 11535 | } |
| 11536 | at::Tensor & special_logsumexp_out(at::Tensor & out, const at::Tensor & self, at::IntArrayRef dim, bool keepdim) { |
| 11537 | return wrapper_CompositeImplicitAutograd_out_special_logsumexp_out(self, dim, keepdim, out); |
| 11538 | } |
| 11539 | at::Tensor & special_logsumexp_outf(const at::Tensor & self, at::IntArrayRef dim, bool keepdim, at::Tensor & out) { |
| 11540 | return wrapper_CompositeImplicitAutograd_out_special_logsumexp_out(self, dim, keepdim, out); |
| 11541 | } |
| 11542 | at::Tensor special_expit(const at::Tensor & self) { |
| 11543 | return wrapper_CompositeImplicitAutograd__special_expit(self); |
| 11544 | } |
| 11545 | at::Tensor & special_expit_out(at::Tensor & out, const at::Tensor & self) { |
| 11546 | return wrapper_CompositeImplicitAutograd_out_special_expit_out(self, out); |
| 11547 | } |
| 11548 | at::Tensor & special_expit_outf(const at::Tensor & self, at::Tensor & out) { |
| 11549 | return wrapper_CompositeImplicitAutograd_out_special_expit_out(self, out); |
| 11550 | } |
| 11551 | at::Tensor special_sinc(const at::Tensor & self) { |
| 11552 | return wrapper_CompositeImplicitAutograd__special_sinc(self); |
| 11553 | } |
| 11554 | at::Tensor & special_sinc_out(at::Tensor & out, const at::Tensor & self) { |
| 11555 | return wrapper_CompositeImplicitAutograd_out_special_sinc_out(self, out); |
| 11556 | } |
| 11557 | at::Tensor & special_sinc_outf(const at::Tensor & self, at::Tensor & out) { |
| 11558 | return wrapper_CompositeImplicitAutograd_out_special_sinc_out(self, out); |
| 11559 | } |
| 11560 | at::Tensor special_round(const at::Tensor & self, int64_t decimals) { |
| 11561 | return wrapper_CompositeImplicitAutograd__special_round(self, decimals); |
| 11562 | } |
| 11563 | at::Tensor & special_round_out(at::Tensor & out, const at::Tensor & self, int64_t decimals) { |
| 11564 | return wrapper_CompositeImplicitAutograd_out_special_round_out(self, decimals, out); |
| 11565 | } |
| 11566 | at::Tensor & special_round_outf(const at::Tensor & self, int64_t decimals, at::Tensor & out) { |
| 11567 | return wrapper_CompositeImplicitAutograd_out_special_round_out(self, decimals, out); |
| 11568 | } |
| 11569 | at::Tensor special_log1p(const at::Tensor & self) { |
| 11570 | return wrapper_CompositeImplicitAutograd__special_log1p(self); |
| 11571 | } |
| 11572 | at::Tensor & special_log1p_out(at::Tensor & out, const at::Tensor & self) { |
| 11573 | return wrapper_CompositeImplicitAutograd_out_special_log1p_out(self, out); |
| 11574 | } |
| 11575 | at::Tensor & special_log1p_outf(const at::Tensor & self, at::Tensor & out) { |
| 11576 | return wrapper_CompositeImplicitAutograd_out_special_log1p_out(self, out); |
| 11577 | } |
| 11578 | at::Tensor special_log_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 11579 | return wrapper_CompositeImplicitAutograd__special_log_softmax(self, dim, dtype); |
| 11580 | } |
| 11581 | at::Tensor special_gammainc(const at::Tensor & self, const at::Tensor & other) { |
| 11582 | return wrapper_CompositeImplicitAutograd__special_gammainc(self, other); |
| 11583 | } |
| 11584 | at::Tensor & special_gammainc_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11585 | return wrapper_CompositeImplicitAutograd_out_special_gammainc_out(self, other, out); |
| 11586 | } |
| 11587 | at::Tensor & special_gammainc_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11588 | return wrapper_CompositeImplicitAutograd_out_special_gammainc_out(self, other, out); |
| 11589 | } |
| 11590 | at::Tensor special_gammaincc(const at::Tensor & self, const at::Tensor & other) { |
| 11591 | return wrapper_CompositeImplicitAutograd__special_gammaincc(self, other); |
| 11592 | } |
| 11593 | at::Tensor & special_gammaincc_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11594 | return wrapper_CompositeImplicitAutograd_out_special_gammaincc_out(self, other, out); |
| 11595 | } |
| 11596 | at::Tensor & special_gammaincc_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11597 | return wrapper_CompositeImplicitAutograd_out_special_gammaincc_out(self, other, out); |
| 11598 | } |
| 11599 | at::Tensor special_multigammaln(const at::Tensor & self, int64_t p) { |
| 11600 | return wrapper_CompositeImplicitAutograd__special_multigammaln(self, p); |
| 11601 | } |
| 11602 | at::Tensor & special_multigammaln_out(at::Tensor & out, const at::Tensor & self, int64_t p) { |
| 11603 | return wrapper_CompositeImplicitAutograd_out_special_multigammaln_out(self, p, out); |
| 11604 | } |
| 11605 | at::Tensor & special_multigammaln_outf(const at::Tensor & self, int64_t p, at::Tensor & out) { |
| 11606 | return wrapper_CompositeImplicitAutograd_out_special_multigammaln_out(self, p, out); |
| 11607 | } |
| 11608 | at::Tensor special_softmax(const at::Tensor & self, int64_t dim, c10::optional<at::ScalarType> dtype) { |
| 11609 | return wrapper_CompositeImplicitAutograd__special_softmax(self, dim, dtype); |
| 11610 | } |
| 11611 | at::Tensor fft_fft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11612 | return wrapper_CompositeImplicitAutograd__fft_fft(self, n, dim, norm); |
| 11613 | } |
| 11614 | at::Tensor & fft_fft_out(at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11615 | return wrapper_CompositeImplicitAutograd_out_fft_fft_out(self, n, dim, norm, out); |
| 11616 | } |
| 11617 | at::Tensor & fft_fft_outf(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11618 | return wrapper_CompositeImplicitAutograd_out_fft_fft_out(self, n, dim, norm, out); |
| 11619 | } |
| 11620 | at::Tensor fft_ifft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11621 | return wrapper_CompositeImplicitAutograd__fft_ifft(self, n, dim, norm); |
| 11622 | } |
| 11623 | at::Tensor & fft_ifft_out(at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11624 | return wrapper_CompositeImplicitAutograd_out_fft_ifft_out(self, n, dim, norm, out); |
| 11625 | } |
| 11626 | at::Tensor & fft_ifft_outf(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11627 | return wrapper_CompositeImplicitAutograd_out_fft_ifft_out(self, n, dim, norm, out); |
| 11628 | } |
| 11629 | at::Tensor fft_rfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11630 | return wrapper_CompositeImplicitAutograd__fft_rfft(self, n, dim, norm); |
| 11631 | } |
| 11632 | at::Tensor & fft_rfft_out(at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11633 | return wrapper_CompositeImplicitAutograd_out_fft_rfft_out(self, n, dim, norm, out); |
| 11634 | } |
| 11635 | at::Tensor & fft_rfft_outf(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11636 | return wrapper_CompositeImplicitAutograd_out_fft_rfft_out(self, n, dim, norm, out); |
| 11637 | } |
| 11638 | at::Tensor fft_irfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11639 | return wrapper_CompositeImplicitAutograd__fft_irfft(self, n, dim, norm); |
| 11640 | } |
| 11641 | at::Tensor & fft_irfft_out(at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11642 | return wrapper_CompositeImplicitAutograd_out_fft_irfft_out(self, n, dim, norm, out); |
| 11643 | } |
| 11644 | at::Tensor & fft_irfft_outf(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11645 | return wrapper_CompositeImplicitAutograd_out_fft_irfft_out(self, n, dim, norm, out); |
| 11646 | } |
| 11647 | at::Tensor fft_hfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11648 | return wrapper_CompositeImplicitAutograd__fft_hfft(self, n, dim, norm); |
| 11649 | } |
| 11650 | at::Tensor & fft_hfft_out(at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11651 | return wrapper_CompositeImplicitAutograd_out_fft_hfft_out(self, n, dim, norm, out); |
| 11652 | } |
| 11653 | at::Tensor & fft_hfft_outf(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11654 | return wrapper_CompositeImplicitAutograd_out_fft_hfft_out(self, n, dim, norm, out); |
| 11655 | } |
| 11656 | at::Tensor fft_ihfft(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11657 | return wrapper_CompositeImplicitAutograd__fft_ihfft(self, n, dim, norm); |
| 11658 | } |
| 11659 | at::Tensor & fft_ihfft_out(at::Tensor & out, const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm) { |
| 11660 | return wrapper_CompositeImplicitAutograd_out_fft_ihfft_out(self, n, dim, norm, out); |
| 11661 | } |
| 11662 | at::Tensor & fft_ihfft_outf(const at::Tensor & self, c10::optional<int64_t> n, int64_t dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11663 | return wrapper_CompositeImplicitAutograd_out_fft_ihfft_out(self, n, dim, norm, out); |
| 11664 | } |
| 11665 | at::Tensor fft_fft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11666 | return wrapper_CompositeImplicitAutograd__fft_fft2(self, s, dim, norm); |
| 11667 | } |
| 11668 | at::Tensor & fft_fft2_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11669 | return wrapper_CompositeImplicitAutograd_out_fft_fft2_out(self, s, dim, norm, out); |
| 11670 | } |
| 11671 | at::Tensor & fft_fft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11672 | return wrapper_CompositeImplicitAutograd_out_fft_fft2_out(self, s, dim, norm, out); |
| 11673 | } |
| 11674 | at::Tensor fft_ifft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11675 | return wrapper_CompositeImplicitAutograd__fft_ifft2(self, s, dim, norm); |
| 11676 | } |
| 11677 | at::Tensor & fft_ifft2_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11678 | return wrapper_CompositeImplicitAutograd_out_fft_ifft2_out(self, s, dim, norm, out); |
| 11679 | } |
| 11680 | at::Tensor & fft_ifft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11681 | return wrapper_CompositeImplicitAutograd_out_fft_ifft2_out(self, s, dim, norm, out); |
| 11682 | } |
| 11683 | at::Tensor fft_rfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11684 | return wrapper_CompositeImplicitAutograd__fft_rfft2(self, s, dim, norm); |
| 11685 | } |
| 11686 | at::Tensor & fft_rfft2_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11687 | return wrapper_CompositeImplicitAutograd_out_fft_rfft2_out(self, s, dim, norm, out); |
| 11688 | } |
| 11689 | at::Tensor & fft_rfft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11690 | return wrapper_CompositeImplicitAutograd_out_fft_rfft2_out(self, s, dim, norm, out); |
| 11691 | } |
| 11692 | at::Tensor fft_irfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11693 | return wrapper_CompositeImplicitAutograd__fft_irfft2(self, s, dim, norm); |
| 11694 | } |
| 11695 | at::Tensor & fft_irfft2_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11696 | return wrapper_CompositeImplicitAutograd_out_fft_irfft2_out(self, s, dim, norm, out); |
| 11697 | } |
| 11698 | at::Tensor & fft_irfft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11699 | return wrapper_CompositeImplicitAutograd_out_fft_irfft2_out(self, s, dim, norm, out); |
| 11700 | } |
| 11701 | at::Tensor fft_hfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11702 | return wrapper_CompositeImplicitAutograd__fft_hfft2(self, s, dim, norm); |
| 11703 | } |
| 11704 | const at::Tensor & fft_hfft2_out(const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11705 | return wrapper_CompositeImplicitAutograd_out_fft_hfft2_out(self, s, dim, norm, out); |
| 11706 | } |
| 11707 | const at::Tensor & fft_hfft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 11708 | return wrapper_CompositeImplicitAutograd_out_fft_hfft2_out(self, s, dim, norm, out); |
| 11709 | } |
| 11710 | at::Tensor fft_ihfft2(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11711 | return wrapper_CompositeImplicitAutograd__fft_ihfft2(self, s, dim, norm); |
| 11712 | } |
| 11713 | const at::Tensor & fft_ihfft2_out(const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11714 | return wrapper_CompositeImplicitAutograd_out_fft_ihfft2_out(self, s, dim, norm, out); |
| 11715 | } |
| 11716 | const at::Tensor & fft_ihfft2_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::IntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 11717 | return wrapper_CompositeImplicitAutograd_out_fft_ihfft2_out(self, s, dim, norm, out); |
| 11718 | } |
| 11719 | at::Tensor fft_fftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11720 | return wrapper_CompositeImplicitAutograd__fft_fftn(self, s, dim, norm); |
| 11721 | } |
| 11722 | at::Tensor & fft_fftn_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11723 | return wrapper_CompositeImplicitAutograd_out_fft_fftn_out(self, s, dim, norm, out); |
| 11724 | } |
| 11725 | at::Tensor & fft_fftn_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11726 | return wrapper_CompositeImplicitAutograd_out_fft_fftn_out(self, s, dim, norm, out); |
| 11727 | } |
| 11728 | at::Tensor fft_ifftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11729 | return wrapper_CompositeImplicitAutograd__fft_ifftn(self, s, dim, norm); |
| 11730 | } |
| 11731 | at::Tensor & fft_ifftn_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11732 | return wrapper_CompositeImplicitAutograd_out_fft_ifftn_out(self, s, dim, norm, out); |
| 11733 | } |
| 11734 | at::Tensor & fft_ifftn_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11735 | return wrapper_CompositeImplicitAutograd_out_fft_ifftn_out(self, s, dim, norm, out); |
| 11736 | } |
| 11737 | at::Tensor fft_rfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11738 | return wrapper_CompositeImplicitAutograd__fft_rfftn(self, s, dim, norm); |
| 11739 | } |
| 11740 | at::Tensor & fft_rfftn_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11741 | return wrapper_CompositeImplicitAutograd_out_fft_rfftn_out(self, s, dim, norm, out); |
| 11742 | } |
| 11743 | at::Tensor & fft_rfftn_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11744 | return wrapper_CompositeImplicitAutograd_out_fft_rfftn_out(self, s, dim, norm, out); |
| 11745 | } |
| 11746 | at::Tensor fft_irfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11747 | return wrapper_CompositeImplicitAutograd__fft_irfftn(self, s, dim, norm); |
| 11748 | } |
| 11749 | at::Tensor & fft_irfftn_out(at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11750 | return wrapper_CompositeImplicitAutograd_out_fft_irfftn_out(self, s, dim, norm, out); |
| 11751 | } |
| 11752 | at::Tensor & fft_irfftn_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, at::Tensor & out) { |
| 11753 | return wrapper_CompositeImplicitAutograd_out_fft_irfftn_out(self, s, dim, norm, out); |
| 11754 | } |
| 11755 | at::Tensor fft_hfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11756 | return wrapper_CompositeImplicitAutograd__fft_hfftn(self, s, dim, norm); |
| 11757 | } |
| 11758 | const at::Tensor & fft_hfftn_out(const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11759 | return wrapper_CompositeImplicitAutograd_out_fft_hfftn_out(self, s, dim, norm, out); |
| 11760 | } |
| 11761 | const at::Tensor & fft_hfftn_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 11762 | return wrapper_CompositeImplicitAutograd_out_fft_hfftn_out(self, s, dim, norm, out); |
| 11763 | } |
| 11764 | at::Tensor fft_ihfftn(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11765 | return wrapper_CompositeImplicitAutograd__fft_ihfftn(self, s, dim, norm); |
| 11766 | } |
| 11767 | const at::Tensor & fft_ihfftn_out(const at::Tensor & out, const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm) { |
| 11768 | return wrapper_CompositeImplicitAutograd_out_fft_ihfftn_out(self, s, dim, norm, out); |
| 11769 | } |
| 11770 | const at::Tensor & fft_ihfftn_outf(const at::Tensor & self, at::OptionalIntArrayRef s, at::OptionalIntArrayRef dim, c10::optional<c10::string_view> norm, const at::Tensor & out) { |
| 11771 | return wrapper_CompositeImplicitAutograd_out_fft_ihfftn_out(self, s, dim, norm, out); |
| 11772 | } |
| 11773 | at::Tensor fft_fftshift(const at::Tensor & self, at::OptionalIntArrayRef dim) { |
| 11774 | return wrapper_CompositeImplicitAutograd__fft_fftshift(self, dim); |
| 11775 | } |
| 11776 | at::Tensor fft_ifftshift(const at::Tensor & self, at::OptionalIntArrayRef dim) { |
| 11777 | return wrapper_CompositeImplicitAutograd__fft_ifftshift(self, dim); |
| 11778 | } |
| 11779 | at::Tensor linalg_cholesky(const at::Tensor & self, bool upper) { |
| 11780 | return wrapper_CompositeImplicitAutograd__linalg_cholesky(self, upper); |
| 11781 | } |
| 11782 | at::Tensor & linalg_cholesky_out(at::Tensor & out, const at::Tensor & self, bool upper) { |
| 11783 | return wrapper_CompositeImplicitAutograd_out_linalg_cholesky_out(self, upper, out); |
| 11784 | } |
| 11785 | at::Tensor & linalg_cholesky_outf(const at::Tensor & self, bool upper, at::Tensor & out) { |
| 11786 | return wrapper_CompositeImplicitAutograd_out_linalg_cholesky_out(self, upper, out); |
| 11787 | } |
| 11788 | ::std::tuple<at::Tensor,at::Tensor> linalg_lu_factor(const at::Tensor & A, bool pivot) { |
| 11789 | return wrapper_CompositeImplicitAutograd__linalg_lu_factor(A, pivot); |
| 11790 | } |
| 11791 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_lu_factor_out(at::Tensor & LU, at::Tensor & pivots, const at::Tensor & A, bool pivot) { |
| 11792 | return wrapper_CompositeImplicitAutograd_out_linalg_lu_factor_out(A, pivot, LU, pivots); |
| 11793 | } |
| 11794 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_lu_factor_outf(const at::Tensor & A, bool pivot, at::Tensor & LU, at::Tensor & pivots) { |
| 11795 | return wrapper_CompositeImplicitAutograd_out_linalg_lu_factor_out(A, pivot, LU, pivots); |
| 11796 | } |
| 11797 | at::Tensor linalg_det(const at::Tensor & A) { |
| 11798 | return wrapper_CompositeImplicitAutograd__linalg_det(A); |
| 11799 | } |
| 11800 | at::Tensor & linalg_det_out(at::Tensor & out, const at::Tensor & A) { |
| 11801 | return wrapper_CompositeImplicitAutograd_out_linalg_det_out(A, out); |
| 11802 | } |
| 11803 | at::Tensor & linalg_det_outf(const at::Tensor & A, at::Tensor & out) { |
| 11804 | return wrapper_CompositeImplicitAutograd_out_linalg_det_out(A, out); |
| 11805 | } |
| 11806 | at::Tensor det(const at::Tensor & self) { |
| 11807 | return wrapper_CompositeImplicitAutograd__det(self); |
| 11808 | } |
| 11809 | ::std::tuple<at::Tensor,at::Tensor> linalg_ldl_factor(const at::Tensor & self, bool hermitian) { |
| 11810 | return wrapper_CompositeImplicitAutograd__linalg_ldl_factor(self, hermitian); |
| 11811 | } |
| 11812 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_ldl_factor_out(at::Tensor & LD, at::Tensor & pivots, const at::Tensor & self, bool hermitian) { |
| 11813 | return wrapper_CompositeImplicitAutograd_out_linalg_ldl_factor_out(self, hermitian, LD, pivots); |
| 11814 | } |
| 11815 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_ldl_factor_outf(const at::Tensor & self, bool hermitian, at::Tensor & LD, at::Tensor & pivots) { |
| 11816 | return wrapper_CompositeImplicitAutograd_out_linalg_ldl_factor_out(self, hermitian, LD, pivots); |
| 11817 | } |
| 11818 | at::Tensor linalg_matmul(const at::Tensor & self, const at::Tensor & other) { |
| 11819 | return wrapper_CompositeImplicitAutograd__linalg_matmul(self, other); |
| 11820 | } |
| 11821 | at::Tensor & linalg_matmul_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11822 | return wrapper_CompositeImplicitAutograd_out_linalg_matmul_out(self, other, out); |
| 11823 | } |
| 11824 | at::Tensor & linalg_matmul_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11825 | return wrapper_CompositeImplicitAutograd_out_linalg_matmul_out(self, other, out); |
| 11826 | } |
| 11827 | at::Tensor linalg_vecdot(const at::Tensor & x, const at::Tensor & y, int64_t dim) { |
| 11828 | return wrapper_CompositeImplicitAutograd__linalg_vecdot(x, y, dim); |
| 11829 | } |
| 11830 | at::Tensor & linalg_vecdot_out(at::Tensor & out, const at::Tensor & x, const at::Tensor & y, int64_t dim) { |
| 11831 | return wrapper_CompositeImplicitAutograd_out_linalg_vecdot_out(x, y, dim, out); |
| 11832 | } |
| 11833 | at::Tensor & linalg_vecdot_outf(const at::Tensor & x, const at::Tensor & y, int64_t dim, at::Tensor & out) { |
| 11834 | return wrapper_CompositeImplicitAutograd_out_linalg_vecdot_out(x, y, dim, out); |
| 11835 | } |
| 11836 | ::std::tuple<at::Tensor,at::Tensor> linalg_slogdet(const at::Tensor & A) { |
| 11837 | return wrapper_CompositeImplicitAutograd__linalg_slogdet(A); |
| 11838 | } |
| 11839 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_slogdet_out(at::Tensor & sign, at::Tensor & logabsdet, const at::Tensor & A) { |
| 11840 | return wrapper_CompositeImplicitAutograd_out_linalg_slogdet_out(A, sign, logabsdet); |
| 11841 | } |
| 11842 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_slogdet_outf(const at::Tensor & A, at::Tensor & sign, at::Tensor & logabsdet) { |
| 11843 | return wrapper_CompositeImplicitAutograd_out_linalg_slogdet_out(A, sign, logabsdet); |
| 11844 | } |
| 11845 | ::std::tuple<at::Tensor,at::Tensor> slogdet(const at::Tensor & self) { |
| 11846 | return wrapper_CompositeImplicitAutograd__slogdet(self); |
| 11847 | } |
| 11848 | ::std::tuple<at::Tensor &,at::Tensor &> slogdet_out(at::Tensor & sign, at::Tensor & logabsdet, const at::Tensor & self) { |
| 11849 | return wrapper_CompositeImplicitAutograd_out_slogdet_out(self, sign, logabsdet); |
| 11850 | } |
| 11851 | ::std::tuple<at::Tensor &,at::Tensor &> slogdet_outf(const at::Tensor & self, at::Tensor & sign, at::Tensor & logabsdet) { |
| 11852 | return wrapper_CompositeImplicitAutograd_out_slogdet_out(self, sign, logabsdet); |
| 11853 | } |
| 11854 | at::Tensor logdet(const at::Tensor & self) { |
| 11855 | return wrapper_CompositeImplicitAutograd__logdet(self); |
| 11856 | } |
| 11857 | at::Tensor linalg_eigvals(const at::Tensor & self) { |
| 11858 | return wrapper_CompositeImplicitAutograd__linalg_eigvals(self); |
| 11859 | } |
| 11860 | at::Tensor & linalg_eigvals_out(at::Tensor & out, const at::Tensor & self) { |
| 11861 | return wrapper_CompositeImplicitAutograd_out_linalg_eigvals_out(self, out); |
| 11862 | } |
| 11863 | at::Tensor & linalg_eigvals_outf(const at::Tensor & self, at::Tensor & out) { |
| 11864 | return wrapper_CompositeImplicitAutograd_out_linalg_eigvals_out(self, out); |
| 11865 | } |
| 11866 | ::std::tuple<at::Tensor,at::Tensor> linalg_eigh(const at::Tensor & self, c10::string_view UPLO) { |
| 11867 | return wrapper_CompositeImplicitAutograd__linalg_eigh(self, UPLO); |
| 11868 | } |
| 11869 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_eigh_out(at::Tensor & eigvals, at::Tensor & eigvecs, const at::Tensor & self, c10::string_view UPLO) { |
| 11870 | return wrapper_CompositeImplicitAutograd_eigvals_linalg_eigh_out(self, UPLO, eigvals, eigvecs); |
| 11871 | } |
| 11872 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_eigh_outf(const at::Tensor & self, c10::string_view UPLO, at::Tensor & eigvals, at::Tensor & eigvecs) { |
| 11873 | return wrapper_CompositeImplicitAutograd_eigvals_linalg_eigh_out(self, UPLO, eigvals, eigvecs); |
| 11874 | } |
| 11875 | at::Tensor linalg_eigvalsh(const at::Tensor & self, c10::string_view UPLO) { |
| 11876 | return wrapper_CompositeImplicitAutograd__linalg_eigvalsh(self, UPLO); |
| 11877 | } |
| 11878 | at::Tensor & linalg_eigvalsh_out(at::Tensor & out, const at::Tensor & self, c10::string_view UPLO) { |
| 11879 | return wrapper_CompositeImplicitAutograd_out_linalg_eigvalsh_out(self, UPLO, out); |
| 11880 | } |
| 11881 | at::Tensor & linalg_eigvalsh_outf(const at::Tensor & self, c10::string_view UPLO, at::Tensor & out) { |
| 11882 | return wrapper_CompositeImplicitAutograd_out_linalg_eigvalsh_out(self, UPLO, out); |
| 11883 | } |
| 11884 | at::Tensor linalg_inv(const at::Tensor & A) { |
| 11885 | return wrapper_CompositeImplicitAutograd__linalg_inv(A); |
| 11886 | } |
| 11887 | at::Tensor & linalg_inv_out(at::Tensor & out, const at::Tensor & A) { |
| 11888 | return wrapper_CompositeImplicitAutograd_out_linalg_inv_out(A, out); |
| 11889 | } |
| 11890 | at::Tensor & linalg_inv_outf(const at::Tensor & A, at::Tensor & out) { |
| 11891 | return wrapper_CompositeImplicitAutograd_out_linalg_inv_out(A, out); |
| 11892 | } |
| 11893 | at::Tensor inverse(const at::Tensor & self) { |
| 11894 | return wrapper_CompositeImplicitAutograd__inverse(self); |
| 11895 | } |
| 11896 | at::Tensor & inverse_out(at::Tensor & out, const at::Tensor & self) { |
| 11897 | return wrapper_CompositeImplicitAutograd_out_inverse_out(self, out); |
| 11898 | } |
| 11899 | at::Tensor & inverse_outf(const at::Tensor & self, at::Tensor & out) { |
| 11900 | return wrapper_CompositeImplicitAutograd_out_inverse_out(self, out); |
| 11901 | } |
| 11902 | at::Tensor inner(const at::Tensor & self, const at::Tensor & other) { |
| 11903 | return wrapper_CompositeImplicitAutograd__inner(self, other); |
| 11904 | } |
| 11905 | at::Tensor & inner_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other) { |
| 11906 | return wrapper_CompositeImplicitAutograd_out_inner_out(self, other, out); |
| 11907 | } |
| 11908 | at::Tensor & inner_outf(const at::Tensor & self, const at::Tensor & other, at::Tensor & out) { |
| 11909 | return wrapper_CompositeImplicitAutograd_out_inner_out(self, other, out); |
| 11910 | } |
| 11911 | at::Tensor outer(const at::Tensor & self, const at::Tensor & vec2) { |
| 11912 | return wrapper_CompositeImplicitAutograd__outer(self, vec2); |
| 11913 | } |
| 11914 | at::Tensor & outer_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & vec2) { |
| 11915 | return wrapper_CompositeImplicitAutograd_out_outer_out(self, vec2, out); |
| 11916 | } |
| 11917 | at::Tensor & outer_outf(const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) { |
| 11918 | return wrapper_CompositeImplicitAutograd_out_outer_out(self, vec2, out); |
| 11919 | } |
| 11920 | at::Tensor ger(const at::Tensor & self, const at::Tensor & vec2) { |
| 11921 | return wrapper_CompositeImplicitAutograd__ger(self, vec2); |
| 11922 | } |
| 11923 | at::Tensor & ger_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & vec2) { |
| 11924 | return wrapper_CompositeImplicitAutograd_out_ger_out(self, vec2, out); |
| 11925 | } |
| 11926 | at::Tensor & ger_outf(const at::Tensor & self, const at::Tensor & vec2, at::Tensor & out) { |
| 11927 | return wrapper_CompositeImplicitAutograd_out_ger_out(self, vec2, out); |
| 11928 | } |
| 11929 | at::Tensor linalg_norm(const at::Tensor & self, const c10::optional<at::Scalar> & ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11930 | return wrapper_CompositeImplicitAutograd__linalg_norm(self, ord, dim, keepdim, dtype); |
| 11931 | } |
| 11932 | at::Tensor & linalg_norm_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11933 | return wrapper_CompositeImplicitAutograd_out_linalg_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11934 | } |
| 11935 | at::Tensor & linalg_norm_outf(const at::Tensor & self, const c10::optional<at::Scalar> & ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 11936 | return wrapper_CompositeImplicitAutograd_out_linalg_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11937 | } |
| 11938 | at::Tensor linalg_norm(const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11939 | return wrapper_CompositeImplicitAutograd_ord_str_linalg_norm(self, ord, dim, keepdim, dtype); |
| 11940 | } |
| 11941 | at::Tensor & linalg_norm_out(at::Tensor & out, const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11942 | return wrapper_CompositeImplicitAutograd_ord_str_out_linalg_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11943 | } |
| 11944 | at::Tensor & linalg_norm_outf(const at::Tensor & self, c10::string_view ord, at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 11945 | return wrapper_CompositeImplicitAutograd_ord_str_out_linalg_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11946 | } |
| 11947 | at::Tensor linalg_matrix_norm(const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11948 | return wrapper_CompositeImplicitAutograd__linalg_matrix_norm(self, ord, dim, keepdim, dtype); |
| 11949 | } |
| 11950 | at::Tensor & linalg_matrix_norm_out(at::Tensor & out, const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11951 | return wrapper_CompositeImplicitAutograd_out_linalg_matrix_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11952 | } |
| 11953 | at::Tensor & linalg_matrix_norm_outf(const at::Tensor & self, const at::Scalar & ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 11954 | return wrapper_CompositeImplicitAutograd_out_linalg_matrix_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11955 | } |
| 11956 | at::Tensor linalg_matrix_norm(const at::Tensor & self, c10::string_view ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11957 | return wrapper_CompositeImplicitAutograd_str_ord_linalg_matrix_norm(self, ord, dim, keepdim, dtype); |
| 11958 | } |
| 11959 | at::Tensor & linalg_matrix_norm_out(at::Tensor & out, const at::Tensor & self, c10::string_view ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) { |
| 11960 | return wrapper_CompositeImplicitAutograd_str_ord_out_linalg_matrix_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11961 | } |
| 11962 | at::Tensor & linalg_matrix_norm_outf(const at::Tensor & self, c10::string_view ord, at::IntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype, at::Tensor & out) { |
| 11963 | return wrapper_CompositeImplicitAutograd_str_ord_out_linalg_matrix_norm_out(self, ord, dim, keepdim, dtype, out); |
| 11964 | } |
| 11965 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linalg_svd(const at::Tensor & A, bool full_matrices, c10::optional<c10::string_view> driver) { |
| 11966 | return wrapper_CompositeImplicitAutograd__linalg_svd(A, full_matrices, driver); |
| 11967 | } |
| 11968 | ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_svd_out(at::Tensor & U, at::Tensor & S, at::Tensor & Vh, const at::Tensor & A, bool full_matrices, c10::optional<c10::string_view> driver) { |
| 11969 | return wrapper_CompositeImplicitAutograd_U_linalg_svd_out(A, full_matrices, driver, U, S, Vh); |
| 11970 | } |
| 11971 | ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_svd_outf(const at::Tensor & A, bool full_matrices, c10::optional<c10::string_view> driver, at::Tensor & U, at::Tensor & S, at::Tensor & Vh) { |
| 11972 | return wrapper_CompositeImplicitAutograd_U_linalg_svd_out(A, full_matrices, driver, U, S, Vh); |
| 11973 | } |
| 11974 | at::Tensor linalg_svdvals(const at::Tensor & A, c10::optional<c10::string_view> driver) { |
| 11975 | return wrapper_CompositeImplicitAutograd__linalg_svdvals(A, driver); |
| 11976 | } |
| 11977 | at::Tensor & linalg_svdvals_out(at::Tensor & out, const at::Tensor & A, c10::optional<c10::string_view> driver) { |
| 11978 | return wrapper_CompositeImplicitAutograd_out_linalg_svdvals_out(A, driver, out); |
| 11979 | } |
| 11980 | at::Tensor & linalg_svdvals_outf(const at::Tensor & A, c10::optional<c10::string_view> driver, at::Tensor & out) { |
| 11981 | return wrapper_CompositeImplicitAutograd_out_linalg_svdvals_out(A, driver, out); |
| 11982 | } |
| 11983 | at::Tensor linalg_cond(const at::Tensor & self, const c10::optional<at::Scalar> & p) { |
| 11984 | return wrapper_CompositeImplicitAutograd__linalg_cond(self, p); |
| 11985 | } |
| 11986 | at::Tensor & linalg_cond_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & p) { |
| 11987 | return wrapper_CompositeImplicitAutograd_out_linalg_cond_out(self, p, out); |
| 11988 | } |
| 11989 | at::Tensor & linalg_cond_outf(const at::Tensor & self, const c10::optional<at::Scalar> & p, at::Tensor & out) { |
| 11990 | return wrapper_CompositeImplicitAutograd_out_linalg_cond_out(self, p, out); |
| 11991 | } |
| 11992 | at::Tensor linalg_cond(const at::Tensor & self, c10::string_view p) { |
| 11993 | return wrapper_CompositeImplicitAutograd_p_str_linalg_cond(self, p); |
| 11994 | } |
| 11995 | at::Tensor & linalg_cond_out(at::Tensor & out, const at::Tensor & self, c10::string_view p) { |
| 11996 | return wrapper_CompositeImplicitAutograd_p_str_out_linalg_cond_out(self, p, out); |
| 11997 | } |
| 11998 | at::Tensor & linalg_cond_outf(const at::Tensor & self, c10::string_view p, at::Tensor & out) { |
| 11999 | return wrapper_CompositeImplicitAutograd_p_str_out_linalg_cond_out(self, p, out); |
| 12000 | } |
| 12001 | at::Tensor linalg_pinv(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian) { |
| 12002 | return wrapper_CompositeImplicitAutograd_atol_rtol_float_linalg_pinv(self, atol, rtol, hermitian); |
| 12003 | } |
| 12004 | at::Tensor & linalg_pinv_out(at::Tensor & out, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian) { |
| 12005 | return wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_pinv_out(self, atol, rtol, hermitian, out); |
| 12006 | } |
| 12007 | at::Tensor & linalg_pinv_outf(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian, at::Tensor & out) { |
| 12008 | return wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_pinv_out(self, atol, rtol, hermitian, out); |
| 12009 | } |
| 12010 | at::Tensor linalg_pinv(const at::Tensor & self, double rcond, bool hermitian) { |
| 12011 | return wrapper_CompositeImplicitAutograd__linalg_pinv(self, rcond, hermitian); |
| 12012 | } |
| 12013 | at::Tensor & linalg_pinv_out(at::Tensor & out, const at::Tensor & self, double rcond, bool hermitian) { |
| 12014 | return wrapper_CompositeImplicitAutograd_out_linalg_pinv_out(self, rcond, hermitian, out); |
| 12015 | } |
| 12016 | at::Tensor & linalg_pinv_outf(const at::Tensor & self, double rcond, bool hermitian, at::Tensor & out) { |
| 12017 | return wrapper_CompositeImplicitAutograd_out_linalg_pinv_out(self, rcond, hermitian, out); |
| 12018 | } |
| 12019 | at::Tensor linalg_pinv(const at::Tensor & self, const at::Tensor & rcond, bool hermitian) { |
| 12020 | return wrapper_CompositeImplicitAutograd_rcond_tensor_linalg_pinv(self, rcond, hermitian); |
| 12021 | } |
| 12022 | at::Tensor & linalg_pinv_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & rcond, bool hermitian) { |
| 12023 | return wrapper_CompositeImplicitAutograd_out_rcond_tensor_linalg_pinv_out(self, rcond, hermitian, out); |
| 12024 | } |
| 12025 | at::Tensor & linalg_pinv_outf(const at::Tensor & self, const at::Tensor & rcond, bool hermitian, at::Tensor & out) { |
| 12026 | return wrapper_CompositeImplicitAutograd_out_rcond_tensor_linalg_pinv_out(self, rcond, hermitian, out); |
| 12027 | } |
| 12028 | ::std::tuple<at::Tensor,at::Tensor> linalg_solve_ex(const at::Tensor & A, const at::Tensor & B, bool left, bool check_errors) { |
| 12029 | return wrapper_CompositeImplicitAutograd__linalg_solve_ex(A, B, left, check_errors); |
| 12030 | } |
| 12031 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_solve_ex_out(at::Tensor & result, at::Tensor & info, const at::Tensor & A, const at::Tensor & B, bool left, bool check_errors) { |
| 12032 | return wrapper_CompositeImplicitAutograd_out_linalg_solve_ex_out(A, B, left, check_errors, result, info); |
| 12033 | } |
| 12034 | ::std::tuple<at::Tensor &,at::Tensor &> linalg_solve_ex_outf(const at::Tensor & A, const at::Tensor & B, bool left, bool check_errors, at::Tensor & result, at::Tensor & info) { |
| 12035 | return wrapper_CompositeImplicitAutograd_out_linalg_solve_ex_out(A, B, left, check_errors, result, info); |
| 12036 | } |
| 12037 | at::Tensor linalg_solve(const at::Tensor & A, const at::Tensor & B, bool left) { |
| 12038 | return wrapper_CompositeImplicitAutograd__linalg_solve(A, B, left); |
| 12039 | } |
| 12040 | at::Tensor & linalg_solve_out(at::Tensor & out, const at::Tensor & A, const at::Tensor & B, bool left) { |
| 12041 | return wrapper_CompositeImplicitAutograd_out_linalg_solve_out(A, B, left, out); |
| 12042 | } |
| 12043 | at::Tensor & linalg_solve_outf(const at::Tensor & A, const at::Tensor & B, bool left, at::Tensor & out) { |
| 12044 | return wrapper_CompositeImplicitAutograd_out_linalg_solve_out(A, B, left, out); |
| 12045 | } |
| 12046 | at::Tensor linalg_tensorinv(const at::Tensor & self, int64_t ind) { |
| 12047 | return wrapper_CompositeImplicitAutograd__linalg_tensorinv(self, ind); |
| 12048 | } |
| 12049 | at::Tensor & linalg_tensorinv_out(at::Tensor & out, const at::Tensor & self, int64_t ind) { |
| 12050 | return wrapper_CompositeImplicitAutograd_out_linalg_tensorinv_out(self, ind, out); |
| 12051 | } |
| 12052 | at::Tensor & linalg_tensorinv_outf(const at::Tensor & self, int64_t ind, at::Tensor & out) { |
| 12053 | return wrapper_CompositeImplicitAutograd_out_linalg_tensorinv_out(self, ind, out); |
| 12054 | } |
| 12055 | at::Tensor linalg_tensorsolve(const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims) { |
| 12056 | return wrapper_CompositeImplicitAutograd__linalg_tensorsolve(self, other, dims); |
| 12057 | } |
| 12058 | at::Tensor & linalg_tensorsolve_out(at::Tensor & out, const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims) { |
| 12059 | return wrapper_CompositeImplicitAutograd_out_linalg_tensorsolve_out(self, other, dims, out); |
| 12060 | } |
| 12061 | at::Tensor & linalg_tensorsolve_outf(const at::Tensor & self, const at::Tensor & other, at::OptionalIntArrayRef dims, at::Tensor & out) { |
| 12062 | return wrapper_CompositeImplicitAutograd_out_linalg_tensorsolve_out(self, other, dims, out); |
| 12063 | } |
| 12064 | at::Tensor linalg_matrix_power(const at::Tensor & self, int64_t n) { |
| 12065 | return wrapper_CompositeImplicitAutograd__linalg_matrix_power(self, n); |
| 12066 | } |
| 12067 | at::Tensor & linalg_matrix_power_out(at::Tensor & out, const at::Tensor & self, int64_t n) { |
| 12068 | return wrapper_CompositeImplicitAutograd_out_linalg_matrix_power_out(self, n, out); |
| 12069 | } |
| 12070 | at::Tensor & linalg_matrix_power_outf(const at::Tensor & self, int64_t n, at::Tensor & out) { |
| 12071 | return wrapper_CompositeImplicitAutograd_out_linalg_matrix_power_out(self, n, out); |
| 12072 | } |
| 12073 | at::Tensor linalg_matrix_rank(const at::Tensor & input, const c10::optional<at::Tensor> & atol, const c10::optional<at::Tensor> & rtol, bool hermitian) { |
| 12074 | return wrapper_CompositeImplicitAutograd_atol_rtol_tensor_linalg_matrix_rank(input, atol, rtol, hermitian); |
| 12075 | } |
| 12076 | at::Tensor & linalg_matrix_rank_out(at::Tensor & out, const at::Tensor & input, const c10::optional<at::Tensor> & atol, const c10::optional<at::Tensor> & rtol, bool hermitian) { |
| 12077 | return wrapper_CompositeImplicitAutograd_atol_rtol_tensor_out_linalg_matrix_rank_out(input, atol, rtol, hermitian, out); |
| 12078 | } |
| 12079 | at::Tensor & linalg_matrix_rank_outf(const at::Tensor & input, const c10::optional<at::Tensor> & atol, const c10::optional<at::Tensor> & rtol, bool hermitian, at::Tensor & out) { |
| 12080 | return wrapper_CompositeImplicitAutograd_atol_rtol_tensor_out_linalg_matrix_rank_out(input, atol, rtol, hermitian, out); |
| 12081 | } |
| 12082 | at::Tensor linalg_matrix_rank(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian) { |
| 12083 | return wrapper_CompositeImplicitAutograd_atol_rtol_float_linalg_matrix_rank(self, atol, rtol, hermitian); |
| 12084 | } |
| 12085 | at::Tensor & linalg_matrix_rank_out(at::Tensor & out, const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian) { |
| 12086 | return wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_matrix_rank_out(self, atol, rtol, hermitian, out); |
| 12087 | } |
| 12088 | at::Tensor & linalg_matrix_rank_outf(const at::Tensor & self, c10::optional<double> atol, c10::optional<double> rtol, bool hermitian, at::Tensor & out) { |
| 12089 | return wrapper_CompositeImplicitAutograd_atol_rtol_float_out_linalg_matrix_rank_out(self, atol, rtol, hermitian, out); |
| 12090 | } |
| 12091 | at::Tensor linalg_matrix_rank(const at::Tensor & self, double tol, bool hermitian) { |
| 12092 | return wrapper_CompositeImplicitAutograd__linalg_matrix_rank(self, tol, hermitian); |
| 12093 | } |
| 12094 | at::Tensor & linalg_matrix_rank_out(at::Tensor & out, const at::Tensor & self, double tol, bool hermitian) { |
| 12095 | return wrapper_CompositeImplicitAutograd_out_linalg_matrix_rank_out(self, tol, hermitian, out); |
| 12096 | } |
| 12097 | at::Tensor & linalg_matrix_rank_outf(const at::Tensor & self, double tol, bool hermitian, at::Tensor & out) { |
| 12098 | return wrapper_CompositeImplicitAutograd_out_linalg_matrix_rank_out(self, tol, hermitian, out); |
| 12099 | } |
| 12100 | at::Tensor linalg_matrix_rank(const at::Tensor & input, const at::Tensor & tol, bool hermitian) { |
| 12101 | return wrapper_CompositeImplicitAutograd_tol_tensor_linalg_matrix_rank(input, tol, hermitian); |
| 12102 | } |
| 12103 | at::Tensor & linalg_matrix_rank_out(at::Tensor & out, const at::Tensor & input, const at::Tensor & tol, bool hermitian) { |
| 12104 | return wrapper_CompositeImplicitAutograd_out_tol_tensor_linalg_matrix_rank_out(input, tol, hermitian, out); |
| 12105 | } |
| 12106 | at::Tensor & linalg_matrix_rank_outf(const at::Tensor & input, const at::Tensor & tol, bool hermitian, at::Tensor & out) { |
| 12107 | return wrapper_CompositeImplicitAutograd_out_tol_tensor_linalg_matrix_rank_out(input, tol, hermitian, out); |
| 12108 | } |
| 12109 | at::Tensor linalg_multi_dot(at::TensorList tensors) { |
| 12110 | return wrapper_CompositeImplicitAutograd__linalg_multi_dot(tensors); |
| 12111 | } |
| 12112 | at::Tensor & linalg_multi_dot_out(at::Tensor & out, at::TensorList tensors) { |
| 12113 | return wrapper_CompositeImplicitAutograd_out_linalg_multi_dot_out(tensors, out); |
| 12114 | } |
| 12115 | at::Tensor & linalg_multi_dot_outf(at::TensorList tensors, at::Tensor & out) { |
| 12116 | return wrapper_CompositeImplicitAutograd_out_linalg_multi_dot_out(tensors, out); |
| 12117 | } |
| 12118 | at::Tensor nested_to_padded_tensor(const at::Tensor & self, double padding, at::OptionalIntArrayRef output_size) { |
| 12119 | return wrapper_CompositeImplicitAutograd__nested_to_padded_tensor(self, padding, output_size); |
| 12120 | } |
| 12121 | at::Tensor _test_serialization_subcmul(const at::Tensor & self, const at::Tensor & other, const at::Scalar & alpha) { |
| 12122 | return wrapper_CompositeImplicitAutograd___test_serialization_subcmul(self, other, alpha); |
| 12123 | } |
| 12124 | at::Tensor _test_string_default(const at::Tensor & dummy, c10::string_view a, c10::string_view b) { |
| 12125 | return wrapper_CompositeImplicitAutograd___test_string_default(dummy, a, b); |
| 12126 | } |
| 12127 | at::Tensor _test_ambiguous_defaults(const at::Tensor & dummy, int64_t a, int64_t b) { |
| 12128 | return wrapper_CompositeImplicitAutograd_a__test_ambiguous_defaults(dummy, a, b); |
| 12129 | } |
| 12130 | at::Tensor _test_ambiguous_defaults(const at::Tensor & dummy, int64_t a, c10::string_view b) { |
| 12131 | return wrapper_CompositeImplicitAutograd_b__test_ambiguous_defaults(dummy, a, b); |
| 12132 | } |
| 12133 | at::Tensor _test_autograd_multiple_dispatch(const at::Tensor & self, bool b) { |
| 12134 | return wrapper_CompositeImplicitAutograd_ntonly__test_autograd_multiple_dispatch(self, b); |
| 12135 | } |
| 12136 | at::Tensor pad_sequence(at::TensorList sequences, bool batch_first, double padding_value) { |
| 12137 | return wrapper_CompositeImplicitAutograd__pad_sequence(sequences, batch_first, padding_value); |
| 12138 | } |
| 12139 | at::Tensor flatten_dense_tensors(at::TensorList tensors) { |
| 12140 | return wrapper_CompositeImplicitAutograd__flatten_dense_tensors(tensors); |
| 12141 | } |
| 12142 | ::std::vector<at::Tensor> unflatten_dense_tensors(const at::Tensor & flat, at::TensorList tensors) { |
| 12143 | return wrapper_CompositeImplicitAutograd__unflatten_dense_tensors(flat, tensors); |
| 12144 | } |
| 12145 | at::Tensor scaled_dot_product_attention(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask, double dropout_p, bool is_causal) { |
| 12146 | return wrapper_CompositeImplicitAutograd__scaled_dot_product_attention(query, key, value, attn_mask, dropout_p, is_causal); |
| 12147 | } |
| 12148 | ::std::tuple<at::Tensor,at::Tensor> _scaled_dot_product_attention(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask, double dropout_p, bool need_attn_weights, bool is_causal) { |
| 12149 | return wrapper_CompositeImplicitAutograd___scaled_dot_product_attention(query, key, value, attn_mask, dropout_p, need_attn_weights, is_causal); |
| 12150 | } |
| 12151 | ::std::tuple<at::Tensor,at::Tensor> _scaled_dot_product_attention_math(const at::Tensor & query, const at::Tensor & key, const at::Tensor & value, const c10::optional<at::Tensor> & attn_mask, double dropout_p, bool is_causal, const c10::optional<at::Tensor> & dropout_mask) { |
| 12152 | return wrapper_CompositeImplicitAutograd___scaled_dot_product_attention_math(query, key, value, attn_mask, dropout_p, is_causal, dropout_mask); |
| 12153 | } |
| 12154 | at::Tensor special_chebyshev_polynomial_t(const at::Scalar & x, const at::Tensor & n) { |
| 12155 | return wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_t(x, n); |
| 12156 | } |
| 12157 | at::Tensor & special_chebyshev_polynomial_t_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12158 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_t_out(x, n, out); |
| 12159 | } |
| 12160 | at::Tensor & special_chebyshev_polynomial_t_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12161 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_t_out(x, n, out); |
| 12162 | } |
| 12163 | at::Tensor special_chebyshev_polynomial_t(const at::Tensor & x, const at::Scalar & n) { |
| 12164 | return wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_t(x, n); |
| 12165 | } |
| 12166 | at::Tensor special_chebyshev_polynomial_u(const at::Scalar & x, const at::Tensor & n) { |
| 12167 | return wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_u(x, n); |
| 12168 | } |
| 12169 | at::Tensor & special_chebyshev_polynomial_u_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12170 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_u_out(x, n, out); |
| 12171 | } |
| 12172 | at::Tensor & special_chebyshev_polynomial_u_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12173 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_u_out(x, n, out); |
| 12174 | } |
| 12175 | at::Tensor special_chebyshev_polynomial_u(const at::Tensor & x, const at::Scalar & n) { |
| 12176 | return wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_u(x, n); |
| 12177 | } |
| 12178 | at::Tensor special_chebyshev_polynomial_v(const at::Scalar & x, const at::Tensor & n) { |
| 12179 | return wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_v(x, n); |
| 12180 | } |
| 12181 | at::Tensor & special_chebyshev_polynomial_v_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12182 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_v_out(x, n, out); |
| 12183 | } |
| 12184 | at::Tensor & special_chebyshev_polynomial_v_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12185 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_v_out(x, n, out); |
| 12186 | } |
| 12187 | at::Tensor special_chebyshev_polynomial_v(const at::Tensor & x, const at::Scalar & n) { |
| 12188 | return wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_v(x, n); |
| 12189 | } |
| 12190 | at::Tensor special_chebyshev_polynomial_w(const at::Scalar & x, const at::Tensor & n) { |
| 12191 | return wrapper_CompositeImplicitAutograd_x_scalar_special_chebyshev_polynomial_w(x, n); |
| 12192 | } |
| 12193 | at::Tensor & special_chebyshev_polynomial_w_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12194 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_w_out(x, n, out); |
| 12195 | } |
| 12196 | at::Tensor & special_chebyshev_polynomial_w_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12197 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_chebyshev_polynomial_w_out(x, n, out); |
| 12198 | } |
| 12199 | at::Tensor special_chebyshev_polynomial_w(const at::Tensor & x, const at::Scalar & n) { |
| 12200 | return wrapper_CompositeImplicitAutograd_n_scalar_special_chebyshev_polynomial_w(x, n); |
| 12201 | } |
| 12202 | at::Tensor special_hermite_polynomial_h(const at::Scalar & x, const at::Tensor & n) { |
| 12203 | return wrapper_CompositeImplicitAutograd_x_scalar_special_hermite_polynomial_h(x, n); |
| 12204 | } |
| 12205 | at::Tensor & special_hermite_polynomial_h_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12206 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_h_out(x, n, out); |
| 12207 | } |
| 12208 | at::Tensor & special_hermite_polynomial_h_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12209 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_h_out(x, n, out); |
| 12210 | } |
| 12211 | at::Tensor special_hermite_polynomial_h(const at::Tensor & x, const at::Scalar & n) { |
| 12212 | return wrapper_CompositeImplicitAutograd_n_scalar_special_hermite_polynomial_h(x, n); |
| 12213 | } |
| 12214 | at::Tensor special_hermite_polynomial_he(const at::Scalar & x, const at::Tensor & n) { |
| 12215 | return wrapper_CompositeImplicitAutograd_x_scalar_special_hermite_polynomial_he(x, n); |
| 12216 | } |
| 12217 | at::Tensor & special_hermite_polynomial_he_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12218 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_he_out(x, n, out); |
| 12219 | } |
| 12220 | at::Tensor & special_hermite_polynomial_he_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12221 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_hermite_polynomial_he_out(x, n, out); |
| 12222 | } |
| 12223 | at::Tensor special_hermite_polynomial_he(const at::Tensor & x, const at::Scalar & n) { |
| 12224 | return wrapper_CompositeImplicitAutograd_n_scalar_special_hermite_polynomial_he(x, n); |
| 12225 | } |
| 12226 | at::Tensor special_laguerre_polynomial_l(const at::Scalar & x, const at::Tensor & n) { |
| 12227 | return wrapper_CompositeImplicitAutograd_x_scalar_special_laguerre_polynomial_l(x, n); |
| 12228 | } |
| 12229 | at::Tensor & special_laguerre_polynomial_l_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12230 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_laguerre_polynomial_l_out(x, n, out); |
| 12231 | } |
| 12232 | at::Tensor & special_laguerre_polynomial_l_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12233 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_laguerre_polynomial_l_out(x, n, out); |
| 12234 | } |
| 12235 | at::Tensor special_laguerre_polynomial_l(const at::Tensor & x, const at::Scalar & n) { |
| 12236 | return wrapper_CompositeImplicitAutograd_n_scalar_special_laguerre_polynomial_l(x, n); |
| 12237 | } |
| 12238 | at::Tensor special_legendre_polynomial_p(const at::Scalar & x, const at::Tensor & n) { |
| 12239 | return wrapper_CompositeImplicitAutograd_x_scalar_special_legendre_polynomial_p(x, n); |
| 12240 | } |
| 12241 | at::Tensor & special_legendre_polynomial_p_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12242 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_legendre_polynomial_p_out(x, n, out); |
| 12243 | } |
| 12244 | at::Tensor & special_legendre_polynomial_p_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12245 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_legendre_polynomial_p_out(x, n, out); |
| 12246 | } |
| 12247 | at::Tensor special_legendre_polynomial_p(const at::Tensor & x, const at::Scalar & n) { |
| 12248 | return wrapper_CompositeImplicitAutograd_n_scalar_special_legendre_polynomial_p(x, n); |
| 12249 | } |
| 12250 | at::Tensor special_shifted_chebyshev_polynomial_t(const at::Scalar & x, const at::Tensor & n) { |
| 12251 | return wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_t(x, n); |
| 12252 | } |
| 12253 | at::Tensor & special_shifted_chebyshev_polynomial_t_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12254 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_t_out(x, n, out); |
| 12255 | } |
| 12256 | at::Tensor & special_shifted_chebyshev_polynomial_t_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12257 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_t_out(x, n, out); |
| 12258 | } |
| 12259 | at::Tensor special_shifted_chebyshev_polynomial_t(const at::Tensor & x, const at::Scalar & n) { |
| 12260 | return wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_t(x, n); |
| 12261 | } |
| 12262 | at::Tensor special_shifted_chebyshev_polynomial_u(const at::Scalar & x, const at::Tensor & n) { |
| 12263 | return wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_u(x, n); |
| 12264 | } |
| 12265 | at::Tensor & special_shifted_chebyshev_polynomial_u_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12266 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_u_out(x, n, out); |
| 12267 | } |
| 12268 | at::Tensor & special_shifted_chebyshev_polynomial_u_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12269 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_u_out(x, n, out); |
| 12270 | } |
| 12271 | at::Tensor special_shifted_chebyshev_polynomial_u(const at::Tensor & x, const at::Scalar & n) { |
| 12272 | return wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_u(x, n); |
| 12273 | } |
| 12274 | at::Tensor special_shifted_chebyshev_polynomial_v(const at::Scalar & x, const at::Tensor & n) { |
| 12275 | return wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_v(x, n); |
| 12276 | } |
| 12277 | at::Tensor & special_shifted_chebyshev_polynomial_v_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12278 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_v_out(x, n, out); |
| 12279 | } |
| 12280 | at::Tensor & special_shifted_chebyshev_polynomial_v_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12281 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_v_out(x, n, out); |
| 12282 | } |
| 12283 | at::Tensor special_shifted_chebyshev_polynomial_v(const at::Tensor & x, const at::Scalar & n) { |
| 12284 | return wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_v(x, n); |
| 12285 | } |
| 12286 | at::Tensor special_shifted_chebyshev_polynomial_w(const at::Scalar & x, const at::Tensor & n) { |
| 12287 | return wrapper_CompositeImplicitAutograd_x_scalar_special_shifted_chebyshev_polynomial_w(x, n); |
| 12288 | } |
| 12289 | at::Tensor & special_shifted_chebyshev_polynomial_w_out(at::Tensor & out, const at::Scalar & x, const at::Tensor & n) { |
| 12290 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_w_out(x, n, out); |
| 12291 | } |
| 12292 | at::Tensor & special_shifted_chebyshev_polynomial_w_outf(const at::Scalar & x, const at::Tensor & n, at::Tensor & out) { |
| 12293 | return wrapper_CompositeImplicitAutograd_x_scalar_out_special_shifted_chebyshev_polynomial_w_out(x, n, out); |
| 12294 | } |
| 12295 | at::Tensor special_shifted_chebyshev_polynomial_w(const at::Tensor & x, const at::Scalar & n) { |
| 12296 | return wrapper_CompositeImplicitAutograd_n_scalar_special_shifted_chebyshev_polynomial_w(x, n); |
| 12297 | } |
| 12298 | } // namespace compositeimplicitautograd |
| 12299 | } // namespace at |
| 12300 |
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