| 1 | #pragma once |
|---|---|
| 2 | |
| 3 | #ifdef TORCH_ASSERT_NO_OPERATORS |
| 4 | #error This change adds a dependency on native_functions.yaml, \ |
| 5 | meaning the file will need to be re-compiled every time an operator \ |
| 6 | is changed or added. Consider if your change would be better placed in \ |
| 7 | another file, or if a more specific header might achieve the same goal. \ |
| 8 | See NOTE: [Tensor vs. TensorBase] |
| 9 | #endif |
| 10 | |
| 11 | #include <c10/core/Device.h> |
| 12 | #include <c10/core/Layout.h> |
| 13 | #include <c10/core/MemoryFormat.h> |
| 14 | #include <c10/core/QScheme.h> |
| 15 | #include <c10/core/Stream.h> |
| 16 | #include <c10/core/Scalar.h> |
| 17 | #include <c10/core/ScalarType.h> |
| 18 | #include <c10/core/ScalarTypeToTypeMeta.h> |
| 19 | #include <c10/core/Storage.h> |
| 20 | #include <c10/core/TensorImpl.h> |
| 21 | #include <c10/core/UndefinedTensorImpl.h> |
| 22 | #include <c10/core/WrapDimMinimal.h> |
| 23 | #include <c10/util/Exception.h> |
| 24 | #include <c10/util/Deprecated.h> |
| 25 | #include <c10/util/MaybeOwned.h> |
| 26 | #include <c10/util/Optional.h> |
| 27 | #include <c10/util/OptionalArrayRef.h> |
| 28 | #include <c10/util/intrusive_ptr.h> |
| 29 | #include <c10/macros/Export.h> |
| 30 | #include <ATen/core/CheckMemoryFormat.h> |
| 31 | #include <ATen/core/DeprecatedTypePropertiesRegistry.h> |
| 32 | #include <ATen/core/DeprecatedTypeProperties.h> |
| 33 | #include <ATen/core/NamedTensor.h> |
| 34 | #include <ATen/core/QuantizerBase.h> |
| 35 | #include <c10/core/SymInt.h> |
| 36 | #include <ATen/core/TensorAccessor.h> |
| 37 | #include <ATen/core/TensorBase.h> |
| 38 | |
| 39 | |
| 40 | #include <ATen/MethodOperators.h> |
| 41 | |
| 42 | namespace c10{ |
| 43 | template<class T> class List; |
| 44 | template<class T> class IListRef; |
| 45 | } |
| 46 | namespace at { |
| 47 | struct Generator; |
| 48 | struct Type; |
| 49 | class DeprecatedTypeProperties; |
| 50 | class Tensor; |
| 51 | } // namespace at |
| 52 | namespace at { |
| 53 | namespace indexing { |
| 54 | struct TensorIndex; |
| 55 | } // namespace indexing |
| 56 | } // namespace at |
| 57 | |
| 58 | namespace torch { namespace autograd { |
| 59 | |
| 60 | struct Node; |
| 61 | |
| 62 | }} // namespace torch::autograd |
| 63 | |
| 64 | namespace at { |
| 65 | |
| 66 | class OptionalTensorRef; |
| 67 | class Tensor; |
| 68 | using TensorList = ArrayRef<Tensor>; |
| 69 | using ITensorList = c10::IListRef<Tensor>; |
| 70 | |
| 71 | using Stream = c10::Stream; |
| 72 | |
| 73 | // Tensor is a "generic" object holding a pointer to the underlying TensorImpl object, which |
| 74 | // has an embedded reference count. In this way, Tensor is similar to boost::intrusive_ptr. |
| 75 | // |
| 76 | // For example: |
| 77 | // |
| 78 | // void func(Tensor a) { |
| 79 | // Tensor b = a; |
| 80 | // ... |
| 81 | // } |
| 82 | // |
| 83 | // In this example, when we say Tensor b = a, we are creating a new object that points to the |
| 84 | // same underlying TensorImpl, and bumps its reference count. When b goes out of scope, the |
| 85 | // destructor decrements the reference count by calling release() on the TensorImpl it points to. |
| 86 | // The existing constructors, operator overloads, etc. take care to implement the correct semantics. |
| 87 | // |
| 88 | // Note that Tensor can also be NULL, i.e. it is not associated with any underlying TensorImpl, and |
| 89 | // special care must be taken to handle this. |
| 90 | class TORCH_API Tensor: public TensorBase { |
| 91 | protected: |
| 92 | // Create a Tensor with a +0 reference count. Special care must be |
| 93 | // taken to avoid decrementing this reference count at destruction |
| 94 | // time. Intended to support MaybeOwnedTraits<Tensor>. |
| 95 | explicit Tensor(unsafe_borrow_t, const TensorBase& rhs): TensorBase(unsafe_borrow_t{}, rhs) {} |
| 96 | friend MaybeOwnedTraits<Tensor>; |
| 97 | friend OptionalTensorRef; |
| 98 | |
| 99 | public: |
| 100 | Tensor() = default; |
| 101 | // This constructor should not be used by end users and is an implementation |
| 102 | // detail invoked by autogenerated code. |
| 103 | explicit Tensor( |
| 104 | c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl> tensor_impl) |
| 105 | : TensorBase(std::move(tensor_impl)) {} |
| 106 | Tensor(const Tensor &tensor) = default; |
| 107 | Tensor(Tensor &&tensor) = default; |
| 108 | |
| 109 | // Implicitly move-constructible from TensorBase, but must be explicit to increase refcount |
| 110 | explicit Tensor(const TensorBase &base): TensorBase(base) {} |
| 111 | /*implicit*/ Tensor(TensorBase &&base): TensorBase(std::move(base)) {} |
| 112 | |
| 113 | // Creates a new wrapper from TensorImpl. Intentionally a free method because |
| 114 | // it should be used with care. Checks necessary invariants |
| 115 | static Tensor wrap_tensor_impl( |
| 116 | c10::intrusive_ptr<TensorImpl, UndefinedTensorImpl> tensor_impl) { |
| 117 | return TensorBase::wrap_tensor_impl(std::move(tensor_impl)); |
| 118 | } |
| 119 | |
| 120 | Tensor contiguous(MemoryFormat memory_format=MemoryFormat::Contiguous) const { |
| 121 | return TensorBase::contiguous(memory_format); |
| 122 | } |
| 123 | |
| 124 | Tensor conj() const { |
| 125 | if (!this->is_complex()) { |
| 126 | return *this; |
| 127 | } |
| 128 | |
| 129 | switch (this->layout()) { |
| 130 | case at::kSparse: |
| 131 | case at::kSparseCsr: |
| 132 | case at::kSparseCsc: |
| 133 | case at::kSparseBsr: |
| 134 | case at::kSparseBsc: |
| 135 | return this->conj_physical(); |
| 136 | default: |
| 137 | return this->_conj(); |
| 138 | } |
| 139 | } |
| 140 | |
| 141 | // Aliased by Dimname overloads, so need explicit using |
| 142 | using TensorBase::size; |
| 143 | using TensorBase::sym_size; |
| 144 | using TensorBase::stride; |
| 145 | |
| 146 | /// Should be used if *this can reasonably be expected to be contiguous and |
| 147 | /// performance is important. |
| 148 | /// Compared to contiguous, it saves a reference count |
| 149 | /// increment/decrement if *this is already contiguous, at the cost |
| 150 | /// in all cases of an extra pointer of stack usage, an extra branch |
| 151 | /// to access, and an extra branch at destruction time. |
| 152 | c10::MaybeOwned<Tensor> expect_contiguous(MemoryFormat memory_format=MemoryFormat::Contiguous) const &; |
| 153 | |
| 154 | // Use .contiguous() instead. Trying to borrow from a prvalue Tensor |
| 155 | // will only lead to trouble and dangling references. |
| 156 | c10::MaybeOwned<Tensor> expect_contiguous(MemoryFormat memory_format=MemoryFormat::Contiguous) && = delete; |
| 157 | |
| 158 | // The following overloads are very intruiging. Consider the following |
| 159 | // program: |
| 160 | // |
| 161 | // x[1] = 3; |
| 162 | // |
| 163 | // We would expect that the first entry of x is written to 3. But how can we |
| 164 | // actually achieve this? x[1] evaluates to a tensor... |
| 165 | // |
| 166 | // The answer is, using a ref-qualifier. x[1] is an rvalue, which cannot be |
| 167 | // (profitably) assigned to in the traditional sense, so we overload |
| 168 | // assignment to mean, "Actually, copy 3 into the tensor data." This is done |
| 169 | // with an rvalue-reference ref-qualified overload (the methods with && at the |
| 170 | // end of their type.) |
| 171 | // |
| 172 | // There's one more fly in the ointment: We also want |
| 173 | // |
| 174 | // Tensor x = y; |
| 175 | // |
| 176 | // to work, and we want it NOT to copy. So we need a traditional operator= |
| 177 | // overload. But we MUST specify a mutable lvalue ref-qualifier, to |
| 178 | // disambiguate the traditional overload from the rvalue-reference |
| 179 | // ref-qualified overload. Otherwise, it will be ambiguous, because |
| 180 | // a non ref-qualified method is eligible for all situations. |
| 181 | |
| 182 | // Unfortunately, we have to write these constructors out manually |
| 183 | // to work around an MSVC bug: |
| 184 | // error C2580: 'at::Tensor &at::Tensor::operator =(const at::Tensor &) &': |
| 185 | // multiple versions of a defaulted special member functions are not allowed |
| 186 | // Tensor& operator=(const Tensor&) & = default; |
| 187 | // Tensor& operator=(Tensor&&) & = default; |
| 188 | |
| 189 | // Also MSVC will wrongly issue the following warning with the aforementioned fix |
| 190 | // warning C4522: 'at::Tensor': multiple assignment operators specified |
| 191 | // Let's just skip the warning. |
| 192 | // |
| 193 | // TODO: temporarily disabled |
| 194 | |
| 195 | Tensor& operator=(const TensorBase& x) & { |
| 196 | impl_ = x.getIntrusivePtr(); |
| 197 | return *this; |
| 198 | } |
| 199 | Tensor& operator=(TensorBase&& x) & noexcept { |
| 200 | impl_ = x.unsafeReleaseIntrusivePtr(); |
| 201 | return *this; |
| 202 | } |
| 203 | |
| 204 | Tensor& operator=(const Tensor &x) & { |
| 205 | return operator=(static_cast<const TensorBase&>(x)); |
| 206 | } |
| 207 | Tensor& operator=(Tensor &&x) & noexcept { |
| 208 | return operator=(static_cast<TensorBase&&>(x)); |
| 209 | } |
| 210 | |
| 211 | Tensor& operator=(const Scalar &v) && { |
| 212 | return fill_(v); |
| 213 | } |
| 214 | Tensor& operator=(const Tensor &rhs) && { |
| 215 | return copy_(rhs); |
| 216 | } |
| 217 | Tensor& operator=(Tensor&& rhs) && { |
| 218 | return copy_(rhs); |
| 219 | } |
| 220 | |
| 221 | C10_DEPRECATED_MESSAGE("Tensor.type() is deprecated. Instead use Tensor.options(), which in many cases (e.g. in a constructor) is a drop-in replacement. If you were using data from type(), that is now available from Tensor itself, so instead of tensor.type().scalar_type(), use tensor.scalar_type() instead and instead of tensor.type().backend() use tensor.device().") |
| 222 | DeprecatedTypeProperties & type() const { |
| 223 | return globalDeprecatedTypePropertiesRegistry().getDeprecatedTypeProperties( |
| 224 | dispatchKeyToBackend(legacyExtractDispatchKey(key_set())), |
| 225 | scalar_type()); |
| 226 | } |
| 227 | |
| 228 | Tensor toType(ScalarType t) const { |
| 229 | return to(options().dtype(t), /*non_blocking*/ false, /*copy*/ false); |
| 230 | } |
| 231 | |
| 232 | // TODO: Deprecate me |
| 233 | Tensor toBackend(Backend b) const { |
| 234 | return to(options().device(backendToDeviceType(b)).layout(layout_from_backend(b)), /*non_blocking*/ false, /*copy*/ false); |
| 235 | } |
| 236 | |
| 237 | C10_DEPRECATED_MESSAGE("Tensor.is_variable() is deprecated; everything is a variable now. (If you want to assert that variable has been appropriately handled already, use at::impl::variable_excluded_from_dispatch())") |
| 238 | bool is_variable() const noexcept { |
| 239 | return !at::impl::variable_excluded_from_dispatch(); |
| 240 | } |
| 241 | |
| 242 | template<typename T> |
| 243 | C10_DEPRECATED_MESSAGE("Tensor.data<T>() is deprecated. Please use Tensor.data_ptr<T>() instead.") |
| 244 | T * data() const { |
| 245 | return data_ptr<T>(); |
| 246 | } |
| 247 | |
| 248 | template <typename T> |
| 249 | T item() const; |
| 250 | |
| 251 | template<typename T, size_t N, template <typename U> class PtrTraits = DefaultPtrTraits, typename index_t = int64_t> |
| 252 | C10_DEPRECATED_MESSAGE("packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead") |
| 253 | GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() const & { |
| 254 | return generic_packed_accessor<T,N,PtrTraits,index_t>(); |
| 255 | } |
| 256 | template<typename T, size_t N, template <typename U> class PtrTraits = DefaultPtrTraits, typename index_t = int64_t> |
| 257 | C10_DEPRECATED_MESSAGE("packed_accessor is deprecated, use packed_accessor32 or packed_accessor64 instead") |
| 258 | GenericPackedTensorAccessor<T,N,PtrTraits,index_t> packed_accessor() && = delete; |
| 259 | |
| 260 | Tensor operator~() const { |
| 261 | return bitwise_not(); |
| 262 | } |
| 263 | Tensor operator-() const { |
| 264 | return neg(); |
| 265 | } |
| 266 | Tensor& operator+=(const Tensor & other) { |
| 267 | return add_(other); |
| 268 | } |
| 269 | Tensor& operator+=(const Scalar & other) { |
| 270 | return add_(other); |
| 271 | } |
| 272 | Tensor& operator-=(const Tensor & other) { |
| 273 | return sub_(other); |
| 274 | } |
| 275 | Tensor& operator-=(const Scalar & other) { |
| 276 | return sub_(other); |
| 277 | } |
| 278 | Tensor& operator*=(const Tensor & other) { |
| 279 | return mul_(other); |
| 280 | } |
| 281 | Tensor& operator*=(const Scalar & other) { |
| 282 | return mul_(other); |
| 283 | } |
| 284 | Tensor& operator/=(const Tensor & other) { |
| 285 | return div_(other); |
| 286 | } |
| 287 | Tensor& operator/=(const Scalar & other) { |
| 288 | return div_(other); |
| 289 | } |
| 290 | Tensor& operator&=(const Tensor & other) { |
| 291 | return bitwise_and_(other); |
| 292 | } |
| 293 | Tensor& operator|=(const Tensor & other) { |
| 294 | return bitwise_or_(other); |
| 295 | } |
| 296 | Tensor& operator^=(const Tensor & other) { |
| 297 | return bitwise_xor_(other); |
| 298 | } |
| 299 | Tensor operator[](const Scalar & index) const { |
| 300 | if (!index.isIntegral(false)) { |
| 301 | TORCH_CHECK_INDEX(false, "Can only index tensors with integral scalars"); |
| 302 | } |
| 303 | return this->operator[](index.toLong()); |
| 304 | } |
| 305 | Tensor operator[](const Tensor & index) const { |
| 306 | // These properties are checked in the Scalar constructor, but we already |
| 307 | // check them here to provide more useful diagnostics for the user. |
| 308 | if (!index.defined()) { |
| 309 | TORCH_CHECK_INDEX(false, "Can only index with tensors that are defined"); |
| 310 | } |
| 311 | if (index.dim() != 0) { |
| 312 | TORCH_CHECK_INDEX(false, |
| 313 | "Can only index with tensors that are scalars (zero-dim)"); |
| 314 | } |
| 315 | // The Scalar(Tensor) constructor is explicit, so we need to call it. |
| 316 | return this->operator[](index.item()); |
| 317 | } |
| 318 | Tensor operator[](int64_t index) const { |
| 319 | return select(0, index); |
| 320 | } |
| 321 | |
| 322 | Tensor index(ArrayRef<at::indexing::TensorIndex> indices) const; |
| 323 | Tensor index(std::initializer_list<at::indexing::TensorIndex> indices) const; |
| 324 | |
| 325 | Tensor & index_put_(ArrayRef<at::indexing::TensorIndex> indices, Tensor const & rhs); |
| 326 | Tensor & index_put_(ArrayRef<at::indexing::TensorIndex> indices, const Scalar& v); |
| 327 | Tensor & index_put_(std::initializer_list<at::indexing::TensorIndex> indices, Tensor const & rhs); |
| 328 | Tensor & index_put_(std::initializer_list<at::indexing::TensorIndex> indices, const Scalar& v); |
| 329 | |
| 330 | Tensor cpu() const { |
| 331 | return to(options().device(DeviceType::CPU), /*non_blocking*/ false, /*copy*/ false); |
| 332 | } |
| 333 | |
| 334 | // TODO: The Python version also accepts arguments |
| 335 | Tensor cuda() const { |
| 336 | return to(options().device(DeviceType::CUDA), /*non_blocking*/ false, /*copy*/ false); |
| 337 | } |
| 338 | |
| 339 | Tensor hip() const { |
| 340 | return to(options().device(DeviceType::HIP), /*non_blocking*/ false, /*copy*/ false); |
| 341 | } |
| 342 | |
| 343 | Tensor ve() const { |
| 344 | return to(options().device(DeviceType::VE), /*non_blocking*/ false, /*copy*/ false); |
| 345 | } |
| 346 | |
| 347 | Tensor vulkan() const { |
| 348 | return to(options().device(DeviceType::Vulkan), /*non_blocking*/ false, /*copy*/ false); |
| 349 | } |
| 350 | |
| 351 | Tensor metal() const { |
| 352 | return to(options().device(DeviceType::Metal), /*non_blocking*/ false, /*copy*/ false); |
| 353 | } |
| 354 | |
| 355 | Tensor meta() const { |
| 356 | return to(options().device(DeviceType::Meta), /*non_blocking*/ false, /*copy*/ false); |
| 357 | } |
| 358 | |
| 359 | // ~~~~~ Autograd API ~~~~~ |
| 360 | |
| 361 | /// \fn bool is_leaf() const; |
| 362 | /// |
| 363 | /// All Tensors that have `requires_grad()` which is ``false`` will be leaf Tensors by convention. |
| 364 | /// |
| 365 | /// For Tensors that have `requires_grad()` which is ``true``, they will be leaf Tensors if they were |
| 366 | /// created by the user. This means that they are not the result of an operation and so |
| 367 | /// `grad_fn()` is `nullptr`. |
| 368 | /// |
| 369 | /// Only leaf Tensors will have their `grad()` populated during a call to `backward()`. |
| 370 | /// To get `grad()` populated for non-leaf Tensors, you can use `retain_grad()`. |
| 371 | /// |
| 372 | /// Example: |
| 373 | /// @code |
| 374 | /// auto a = torch::rand(10, torch::requires_grad()); |
| 375 | /// std::cout << a.is_leaf() << std::endl; // prints `true` |
| 376 | /// |
| 377 | /// auto b = torch::rand(10, torch::requires_grad()).to(torch::kCUDA); |
| 378 | /// std::cout << b.is_leaf() << std::endl; // prints `false` |
| 379 | /// // b was created by the operation that cast a cpu Tensor into a cuda Tensor |
| 380 | /// |
| 381 | /// auto c = torch::rand(10, torch::requires_grad()) + 2; |
| 382 | /// std::cout << c.is_leaf() << std::endl; // prints `false` |
| 383 | /// // c was created by the addition operation |
| 384 | /// |
| 385 | /// auto d = torch::rand(10).cuda(); |
| 386 | /// std::cout << d.is_leaf() << std::endl; // prints `true` |
| 387 | /// // d does not require gradients and so has no operation creating it (that is tracked by the autograd engine) |
| 388 | /// |
| 389 | /// auto e = torch::rand(10).cuda().requires_grad_(); |
| 390 | /// std::cout << e.is_leaf() << std::endl; // prints `true` |
| 391 | /// // e requires gradients and has no operations creating it |
| 392 | /// |
| 393 | /// auto f = torch::rand(10, torch::device(torch::kCUDA).requires_grad(true)); |
| 394 | /// std::cout << f.is_leaf() << std::endl; // prints `true` |
| 395 | /// // f requires grad, has no operation creating it |
| 396 | /// @endcode |
| 397 | |
| 398 | /// \fn void backward(const Tensor & gradient={}, c10::optional<bool> retain_graph=c10::nullopt, bool create_graph=false, c10::optional<TensorList> inputs=c10::nullopt) const; |
| 399 | /// |
| 400 | /// Computes the gradient of current tensor with respect to graph leaves. |
| 401 | /// |
| 402 | /// The graph is differentiated using the chain rule. If the tensor is |
| 403 | /// non-scalar (i.e. its data has more than one element) and requires |
| 404 | /// gradient, the function additionally requires specifying ``gradient``. |
| 405 | /// It should be a tensor of matching type and location, that contains |
| 406 | /// the gradient of the differentiated function w.r.t. this Tensor. |
| 407 | /// |
| 408 | /// This function accumulates gradients in the leaves - you might need to |
| 409 | /// zero them before calling it. |
| 410 | /// |
| 411 | /// \param gradient Gradient w.r.t. the |
| 412 | /// tensor. If it is a tensor, it will be automatically converted |
| 413 | /// to a Tensor that does not require grad unless ``create_graph`` is True. |
| 414 | /// None values can be specified for scalar Tensors or ones that |
| 415 | /// don't require grad. If a None value would be acceptable then |
| 416 | /// this argument is optional. |
| 417 | /// \param retain_graph If ``false``, the graph used to compute |
| 418 | /// the grads will be freed. Note that in nearly all cases setting |
| 419 | /// this option to True is not needed and often can be worked around |
| 420 | /// in a much more efficient way. Defaults to the value of |
| 421 | /// ``create_graph``. |
| 422 | /// \param create_graph If ``true``, graph of the derivative will |
| 423 | /// be constructed, allowing to compute higher order derivative |
| 424 | /// products. Defaults to ``false``. |
| 425 | /// \param inputs Inputs w.r.t. which the gradient will be accumulated into |
| 426 | /// ``at::Tensor::grad``. All other Tensors will be ignored. If not |
| 427 | /// provided, the gradient is accumulated into all the leaf Tensors |
| 428 | /// that were used to compute the current tensor. |
| 429 | /// When inputs are provided and a given input is not a leaf, |
| 430 | /// the current implementation will call its grad_fn (even though it is not strictly needed to get this gradients). |
| 431 | /// It is an implementation detail on which the user should not rely. |
| 432 | /// See https://github.com/pytorch/pytorch/pull/60521#issuecomment-867061780 for more details. |
| 433 | void backward(const Tensor & gradient={}, c10::optional<bool> retain_graph=c10::nullopt, bool create_graph=false, c10::optional<TensorList> inputs=c10::nullopt) const { |
| 434 | // NB: Adding this wrapper to _backward here because we'd like our |
| 435 | // 'backwards' api to accept the 'inputs' argument optionally. Since code gen |
| 436 | // currently does not support optional of TensorList our approach is to replace |
| 437 | // backward in native_functions.yaml with _backward and call it here instead. |
| 438 | if (inputs.has_value()) { |
| 439 | TORCH_CHECK(inputs.value().size() > 0, "'inputs' argument to backward cannot be empty") |
| 440 | this->_backward(inputs.value(), gradient, retain_graph, create_graph); |
| 441 | } else { |
| 442 | this->_backward({}, gradient, retain_graph, create_graph); |
| 443 | } |
| 444 | } |
| 445 | |
| 446 | /// \fn Tensor detach() const; |
| 447 | /// |
| 448 | /// Returns a new Tensor, detached from the current graph. |
| 449 | /// The result will never require gradient. |
| 450 | |
| 451 | /// \fn Tensor & detach_() const; |
| 452 | /// |
| 453 | /// Detaches the Tensor from the graph that created it, making it a leaf. |
| 454 | /// Views cannot be detached in-place. |
| 455 | |
| 456 | /// \fn void retain_grad() const; |
| 457 | /// |
| 458 | /// Enables this Tensor to have their :attr:`grad` populated during |
| 459 | /// :func:`backward`. This is a no-op for leaf tensors. |
| 460 | |
| 461 | /// \fn bool retains_grad() const; |
| 462 | /// |
| 463 | /// Is ``true`` if this Tensor is non-leaf and its :attr:`grad` is enabled to be |
| 464 | /// populated during :func:`backward`, ``false`` otherwise. |
| 465 | |
| 466 | const Tensor& set_requires_grad(bool requires_grad) const { |
| 467 | TensorBase::set_requires_grad(requires_grad); |
| 468 | return *this; |
| 469 | } |
| 470 | |
| 471 | /// Return a mutable reference to the gradient. This is conventionally |
| 472 | /// used as `t.grad() = x` to set a gradient to a completely new tensor. |
| 473 | /// Note that this function work with a non-const Tensor and is not |
| 474 | /// thread safe. |
| 475 | Tensor& mutable_grad() const { |
| 476 | return impl_->mutable_grad(); |
| 477 | } |
| 478 | |
| 479 | /// This function returns an undefined tensor by default and returns a defined tensor |
| 480 | /// the first time a call to `backward()` computes gradients for this Tensor. |
| 481 | /// The attribute will then contain the gradients computed and future calls |
| 482 | /// to `backward()` will accumulate (add) gradients into it. |
| 483 | const Tensor& grad() const { |
| 484 | const Tensor& maybe_grad = impl_->grad(); |
| 485 | if (!is_leaf() && !retains_grad() && !maybe_grad.defined()) { |
| 486 | TORCH_WARN( |
| 487 | "The .grad attribute of a Tensor that is not a leaf Tensor is being accessed. Its .grad " |
| 488 | "attribute won't be populated during autograd.backward(). If you indeed want the .grad " |
| 489 | "field to be populated for a non-leaf Tensor, use .retain_grad() on the non-leaf Tensor. " |
| 490 | "If you access the non-leaf Tensor by mistake, make sure you access the leaf Tensor " |
| 491 | "instead. See github.com/pytorch/pytorch/pull/30531 for more informations."); |
| 492 | } |
| 493 | return maybe_grad; |
| 494 | } |
| 495 | |
| 496 | // The Forward AD API functions below are low level and are not to be used by end |
| 497 | // users who should use the API provided in torch/csrc/autograd.h |
| 498 | |
| 499 | /// This function returns the forward gradient for this Tensor at the given level. |
| 500 | const Tensor& _fw_grad(uint64_t level) const { |
| 501 | return impl_->_fw_grad(level, *this); |
| 502 | } |
| 503 | |
| 504 | /// This function can be used to set the value of the forward grad. |
| 505 | /// Note that the given new_grad might not be used directly if it has different |
| 506 | /// metadata (size/stride/storage offset) compared to this Tensor. In that case, |
| 507 | /// new_grad content will be copied into a new Tensor |
| 508 | void _set_fw_grad(const TensorBase& new_grad, uint64_t level, bool is_inplace_op) const { |
| 509 | impl_->_set_fw_grad(new_grad, *this, level, is_inplace_op); |
| 510 | } |
| 511 | |
| 512 | |
| 513 | // STOP. Thinking of adding a method here, which only makes use |
| 514 | // of other ATen methods? Define it in native_functions.yaml. |
| 515 | |
| 516 | //example |
| 517 | //Tensor * add(Tensor & b); |
| 518 | void __dispatch__backward(at::TensorList inputs, const c10::optional<at::Tensor> & gradient={}, c10::optional<bool> retain_graph=c10::nullopt, bool create_graph=false) const; |
| 519 | void __dispatch_set_data(const at::Tensor & new_data) const; |
| 520 | at::Tensor __dispatch_data() const; |
| 521 | bool __dispatch_is_leaf() const; |
| 522 | int64_t __dispatch_output_nr() const; |
| 523 | int64_t __dispatch__version() const; |
| 524 | at::Tensor & __dispatch_requires_grad_(bool requires_grad=true) const; |
| 525 | void __dispatch_retain_grad() const; |
| 526 | bool __dispatch_retains_grad() const; |
| 527 | at::Tensor _fw_primal(int64_t level) const; |
| 528 | at::Tensor & rename_(c10::optional<at::DimnameList> names) const; |
| 529 | at::Tensor rename(c10::optional<at::DimnameList> names) const; |
| 530 | at::Tensor align_to(at::DimnameList names) const; |
| 531 | at::Tensor align_to(at::DimnameList order, int64_t ellipsis_idx) const; |
| 532 | at::Tensor align_as(const at::Tensor & other) const; |
| 533 | at::Tensor refine_names(at::DimnameList names) const; |
| 534 | at::Tensor abs() const; |
| 535 | at::Tensor & abs_() const; |
| 536 | at::Tensor absolute() const; |
| 537 | at::Tensor & absolute_() const; |
| 538 | at::Tensor angle() const; |
| 539 | at::Tensor sgn() const; |
| 540 | at::Tensor & sgn_() const; |
| 541 | at::Tensor chalf(c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 542 | at::Tensor _conj() const; |
| 543 | at::Tensor __dispatch_conj() const; |
| 544 | at::Tensor _conj_physical() const; |
| 545 | at::Tensor conj_physical() const; |
| 546 | at::Tensor & conj_physical_() const; |
| 547 | at::Tensor resolve_conj() const; |
| 548 | at::Tensor resolve_neg() const; |
| 549 | at::Tensor _neg_view() const; |
| 550 | at::Tensor acos() const; |
| 551 | at::Tensor & acos_() const; |
| 552 | at::Tensor arccos() const; |
| 553 | at::Tensor & arccos_() const; |
| 554 | at::Tensor add(const at::Tensor & other, const at::Scalar & alpha=1) const; |
| 555 | at::Tensor & add_(const at::Tensor & other, const at::Scalar & alpha=1) const; |
| 556 | at::Tensor add(const at::Scalar & other, const at::Scalar & alpha=1) const; |
| 557 | at::Tensor & add_(const at::Scalar & other, const at::Scalar & alpha=1) const; |
| 558 | at::Tensor addmv(const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 559 | at::Tensor & addmv_(const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 560 | at::Tensor addr(const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 561 | at::Tensor & addr_(const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 562 | at::Tensor _is_all_true() const; |
| 563 | at::Tensor _is_any_true() const; |
| 564 | at::Tensor all(int64_t dim, bool keepdim=false) const; |
| 565 | at::Tensor all(at::Dimname dim, bool keepdim=false) const; |
| 566 | bool allclose(const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) const; |
| 567 | at::Tensor any(int64_t dim, bool keepdim=false) const; |
| 568 | at::Tensor any(at::Dimname dim, bool keepdim=false) const; |
| 569 | at::Tensor argmax(c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) const; |
| 570 | at::Tensor argmin(c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) const; |
| 571 | at::Tensor acosh() const; |
| 572 | at::Tensor & acosh_() const; |
| 573 | at::Tensor arccosh() const; |
| 574 | at::Tensor & arccosh_() const; |
| 575 | at::Tensor asinh() const; |
| 576 | at::Tensor & asinh_() const; |
| 577 | at::Tensor arcsinh() const; |
| 578 | at::Tensor & arcsinh_() const; |
| 579 | at::Tensor atanh() const; |
| 580 | at::Tensor & atanh_() const; |
| 581 | at::Tensor arctanh() const; |
| 582 | at::Tensor & arctanh_() const; |
| 583 | at::Tensor as_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) const; |
| 584 | at::Tensor as_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) const; |
| 585 | const at::Tensor & as_strided_(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) const; |
| 586 | const at::Tensor & as_strided__symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) const; |
| 587 | at::Tensor asin() const; |
| 588 | at::Tensor & asin_() const; |
| 589 | at::Tensor arcsin() const; |
| 590 | at::Tensor & arcsin_() const; |
| 591 | at::Tensor atan() const; |
| 592 | at::Tensor & atan_() const; |
| 593 | at::Tensor arctan() const; |
| 594 | at::Tensor & arctan_() const; |
| 595 | at::Tensor baddbmm(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 596 | at::Tensor & baddbmm_(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 597 | at::Tensor bernoulli(c10::optional<at::Generator> generator=c10::nullopt) const; |
| 598 | at::Tensor & bernoulli_(const at::Tensor & p, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 599 | at::Tensor & bernoulli_(double p=0.5, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 600 | at::Tensor bernoulli(double p, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 601 | at::Tensor bincount(const c10::optional<at::Tensor> & weights={}, int64_t minlength=0) const; |
| 602 | at::Tensor bitwise_not() const; |
| 603 | at::Tensor & bitwise_not_() const; |
| 604 | at::Tensor copysign(const at::Tensor & other) const; |
| 605 | at::Tensor & copysign_(const at::Tensor & other) const; |
| 606 | at::Tensor copysign(const at::Scalar & other) const; |
| 607 | at::Tensor & copysign_(const at::Scalar & other) const; |
| 608 | at::Tensor logical_not() const; |
| 609 | at::Tensor & logical_not_() const; |
| 610 | at::Tensor logical_xor(const at::Tensor & other) const; |
| 611 | at::Tensor & logical_xor_(const at::Tensor & other) const; |
| 612 | at::Tensor logical_and(const at::Tensor & other) const; |
| 613 | at::Tensor & logical_and_(const at::Tensor & other) const; |
| 614 | at::Tensor logical_or(const at::Tensor & other) const; |
| 615 | at::Tensor & logical_or_(const at::Tensor & other) const; |
| 616 | at::Tensor bmm(const at::Tensor & mat2) const; |
| 617 | at::Tensor broadcast_to(at::IntArrayRef size) const; |
| 618 | at::Tensor broadcast_to_symint(c10::SymIntArrayRef size) const; |
| 619 | at::Tensor ceil() const; |
| 620 | at::Tensor & ceil_() const; |
| 621 | ::std::vector<at::Tensor> unsafe_chunk(int64_t chunks, int64_t dim=0) const; |
| 622 | ::std::vector<at::Tensor> chunk(int64_t chunks, int64_t dim=0) const; |
| 623 | ::std::vector<at::Tensor> tensor_split(int64_t sections, int64_t dim=0) const; |
| 624 | ::std::vector<at::Tensor> tensor_split_symint(c10::SymInt sections, int64_t dim=0) const; |
| 625 | ::std::vector<at::Tensor> tensor_split(at::IntArrayRef indices, int64_t dim=0) const; |
| 626 | ::std::vector<at::Tensor> tensor_split_symint(c10::SymIntArrayRef indices, int64_t dim=0) const; |
| 627 | ::std::vector<at::Tensor> tensor_split(const at::Tensor & tensor_indices_or_sections, int64_t dim=0) const; |
| 628 | at::Tensor clamp(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) const; |
| 629 | at::Tensor clamp(const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) const; |
| 630 | at::Tensor & clamp_(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) const; |
| 631 | at::Tensor & clamp_(const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) const; |
| 632 | at::Tensor clamp_max(const at::Scalar & max) const; |
| 633 | at::Tensor clamp_max(const at::Tensor & max) const; |
| 634 | at::Tensor & clamp_max_(const at::Scalar & max) const; |
| 635 | at::Tensor & clamp_max_(const at::Tensor & max) const; |
| 636 | at::Tensor clamp_min(const at::Scalar & min) const; |
| 637 | at::Tensor clamp_min(const at::Tensor & min) const; |
| 638 | at::Tensor & clamp_min_(const at::Scalar & min) const; |
| 639 | at::Tensor & clamp_min_(const at::Tensor & min) const; |
| 640 | at::Tensor clip(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) const; |
| 641 | at::Tensor clip(const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) const; |
| 642 | at::Tensor & clip_(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt) const; |
| 643 | at::Tensor & clip_(const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={}) const; |
| 644 | at::Tensor __dispatch_contiguous(at::MemoryFormat memory_format=MemoryFormat::Contiguous) const; |
| 645 | at::Tensor & copy_(const at::Tensor & src, bool non_blocking=false) const; |
| 646 | at::Tensor cos() const; |
| 647 | at::Tensor & cos_() const; |
| 648 | at::Tensor cosh() const; |
| 649 | at::Tensor & cosh_() const; |
| 650 | at::Tensor count_nonzero(at::IntArrayRef dim) const; |
| 651 | at::Tensor count_nonzero(c10::optional<int64_t> dim=c10::nullopt) const; |
| 652 | at::Tensor cov(int64_t correction=1, const c10::optional<at::Tensor> & fweights={}, const c10::optional<at::Tensor> & aweights={}) const; |
| 653 | at::Tensor corrcoef() const; |
| 654 | ::std::tuple<at::Tensor,at::Tensor> cummax(int64_t dim) const; |
| 655 | ::std::tuple<at::Tensor,at::Tensor> cummax(at::Dimname dim) const; |
| 656 | ::std::tuple<at::Tensor,at::Tensor> cummin(int64_t dim) const; |
| 657 | ::std::tuple<at::Tensor,at::Tensor> cummin(at::Dimname dim) const; |
| 658 | at::Tensor cumprod(int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 659 | at::Tensor & cumprod_(int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 660 | at::Tensor cumprod(at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 661 | at::Tensor & cumprod_(at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 662 | at::Tensor cumsum(int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 663 | at::Tensor & cumsum_(int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 664 | at::Tensor cumsum(at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 665 | at::Tensor & cumsum_(at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 666 | at::Tensor diag_embed(int64_t offset=0, int64_t dim1=-2, int64_t dim2=-1) const; |
| 667 | at::Tensor diagflat(int64_t offset=0) const; |
| 668 | at::Tensor diagonal(int64_t offset=0, int64_t dim1=0, int64_t dim2=1) const; |
| 669 | at::Tensor diagonal(at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset=0) const; |
| 670 | at::Tensor & fill_diagonal_(const at::Scalar & fill_value, bool wrap=false) const; |
| 671 | at::Tensor diff(int64_t n=1, int64_t dim=-1, const c10::optional<at::Tensor> & prepend={}, const c10::optional<at::Tensor> & append={}) const; |
| 672 | at::Tensor div(const at::Tensor & other) const; |
| 673 | at::Tensor & div_(const at::Tensor & other) const; |
| 674 | at::Tensor div(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const; |
| 675 | at::Tensor & div_(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const; |
| 676 | at::Tensor div(const at::Scalar & other) const; |
| 677 | at::Tensor & div_(const at::Scalar & other) const; |
| 678 | at::Tensor div(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const; |
| 679 | at::Tensor & div_(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const; |
| 680 | at::Tensor divide(const at::Tensor & other) const; |
| 681 | at::Tensor & divide_(const at::Tensor & other) const; |
| 682 | at::Tensor divide(const at::Scalar & other) const; |
| 683 | at::Tensor & divide_(const at::Scalar & other) const; |
| 684 | at::Tensor divide(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const; |
| 685 | at::Tensor & divide_(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const; |
| 686 | at::Tensor divide(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const; |
| 687 | at::Tensor & divide_(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const; |
| 688 | at::Tensor true_divide(const at::Tensor & other) const; |
| 689 | at::Tensor & true_divide_(const at::Tensor & other) const; |
| 690 | at::Tensor true_divide(const at::Scalar & other) const; |
| 691 | at::Tensor & true_divide_(const at::Scalar & other) const; |
| 692 | at::Tensor dot(const at::Tensor & tensor) const; |
| 693 | at::Tensor vdot(const at::Tensor & other) const; |
| 694 | at::Tensor new_empty(at::IntArrayRef size, at::TensorOptions options={}) const; |
| 695 | at::Tensor new_empty(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 696 | at::Tensor new_empty_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) const; |
| 697 | at::Tensor new_empty_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 698 | at::Tensor new_empty_strided(at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options={}) const; |
| 699 | at::Tensor new_empty_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 700 | at::Tensor new_empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::TensorOptions options={}) const; |
| 701 | at::Tensor new_empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 702 | at::Tensor new_full(at::IntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) const; |
| 703 | at::Tensor new_full(at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 704 | at::Tensor new_full_symint(c10::SymIntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options={}) const; |
| 705 | at::Tensor new_full_symint(c10::SymIntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 706 | at::Tensor new_zeros(at::IntArrayRef size, at::TensorOptions options={}) const; |
| 707 | at::Tensor new_zeros(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 708 | at::Tensor new_zeros_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) const; |
| 709 | at::Tensor new_zeros_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 710 | at::Tensor new_ones(at::IntArrayRef size, at::TensorOptions options={}) const; |
| 711 | at::Tensor new_ones(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 712 | at::Tensor new_ones_symint(c10::SymIntArrayRef size, at::TensorOptions options={}) const; |
| 713 | at::Tensor new_ones_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const; |
| 714 | const at::Tensor & resize_(at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 715 | const at::Tensor & resize__symint(c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 716 | at::Tensor erf() const; |
| 717 | at::Tensor & erf_() const; |
| 718 | at::Tensor erfc() const; |
| 719 | at::Tensor & erfc_() const; |
| 720 | at::Tensor exp() const; |
| 721 | at::Tensor & exp_() const; |
| 722 | at::Tensor exp2() const; |
| 723 | at::Tensor & exp2_() const; |
| 724 | at::Tensor expm1() const; |
| 725 | at::Tensor & expm1_() const; |
| 726 | at::Tensor expand(at::IntArrayRef size, bool implicit=false) const; |
| 727 | at::Tensor expand_symint(c10::SymIntArrayRef size, bool implicit=false) const; |
| 728 | at::Tensor expand_as(const at::Tensor & other) const; |
| 729 | at::Tensor flatten(int64_t start_dim=0, int64_t end_dim=-1) const; |
| 730 | at::Tensor flatten(int64_t start_dim, int64_t end_dim, at::Dimname out_dim) const; |
| 731 | at::Tensor flatten(at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim) const; |
| 732 | at::Tensor flatten(at::DimnameList dims, at::Dimname out_dim) const; |
| 733 | at::Tensor unflatten(int64_t dim, at::IntArrayRef sizes) const; |
| 734 | at::Tensor unflatten(at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names) const; |
| 735 | at::Tensor & fill_(const at::Scalar & value) const; |
| 736 | at::Tensor & fill_(const at::Tensor & value) const; |
| 737 | at::Tensor floor() const; |
| 738 | at::Tensor & floor_() const; |
| 739 | at::Tensor floor_divide(const at::Tensor & other) const; |
| 740 | at::Tensor & floor_divide_(const at::Tensor & other) const; |
| 741 | at::Tensor floor_divide(const at::Scalar & other) const; |
| 742 | at::Tensor & floor_divide_(const at::Scalar & other) const; |
| 743 | at::Tensor frac() const; |
| 744 | at::Tensor & frac_() const; |
| 745 | at::Tensor gcd(const at::Tensor & other) const; |
| 746 | at::Tensor & gcd_(const at::Tensor & other) const; |
| 747 | at::Tensor lcm(const at::Tensor & other) const; |
| 748 | at::Tensor & lcm_(const at::Tensor & other) const; |
| 749 | at::Tensor index(const c10::List<c10::optional<at::Tensor>> & indices) const; |
| 750 | at::Tensor & index_copy_(int64_t dim, const at::Tensor & index, const at::Tensor & source) const; |
| 751 | at::Tensor index_copy(int64_t dim, const at::Tensor & index, const at::Tensor & source) const; |
| 752 | at::Tensor & index_copy_(at::Dimname dim, const at::Tensor & index, const at::Tensor & source) const; |
| 753 | at::Tensor index_copy(at::Dimname dim, const at::Tensor & index, const at::Tensor & source) const; |
| 754 | at::Tensor & index_put_(const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false) const; |
| 755 | at::Tensor index_put(const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate=false) const; |
| 756 | at::Tensor isclose(const at::Tensor & other, double rtol=1e-05, double atol=1e-08, bool equal_nan=false) const; |
| 757 | at::Tensor isnan() const; |
| 758 | bool is_distributed() const; |
| 759 | bool __dispatch_is_floating_point() const; |
| 760 | bool __dispatch_is_complex() const; |
| 761 | bool __dispatch_is_conj() const; |
| 762 | bool __dispatch__is_zerotensor() const; |
| 763 | bool __dispatch_is_neg() const; |
| 764 | at::Tensor isreal() const; |
| 765 | bool is_nonzero() const; |
| 766 | bool is_same_size(const at::Tensor & other) const; |
| 767 | bool __dispatch_is_signed() const; |
| 768 | bool __dispatch_is_inference() const; |
| 769 | at::Tensor kron(const at::Tensor & other) const; |
| 770 | ::std::tuple<at::Tensor,at::Tensor> kthvalue(int64_t k, int64_t dim=-1, bool keepdim=false) const; |
| 771 | ::std::tuple<at::Tensor,at::Tensor> kthvalue(int64_t k, at::Dimname dim, bool keepdim=false) const; |
| 772 | at::Tensor nan_to_num(c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) const; |
| 773 | at::Tensor & nan_to_num_(c10::optional<double> nan=c10::nullopt, c10::optional<double> posinf=c10::nullopt, c10::optional<double> neginf=c10::nullopt) const; |
| 774 | at::Tensor ldexp(const at::Tensor & other) const; |
| 775 | at::Tensor & ldexp_(const at::Tensor & other) const; |
| 776 | at::Tensor log() const; |
| 777 | at::Tensor & log_() const; |
| 778 | at::Tensor log10() const; |
| 779 | at::Tensor & log10_() const; |
| 780 | at::Tensor log1p() const; |
| 781 | at::Tensor & log1p_() const; |
| 782 | at::Tensor log2() const; |
| 783 | at::Tensor & log2_() const; |
| 784 | at::Tensor logaddexp(const at::Tensor & other) const; |
| 785 | at::Tensor logaddexp2(const at::Tensor & other) const; |
| 786 | at::Tensor xlogy(const at::Tensor & other) const; |
| 787 | at::Tensor xlogy(const at::Scalar & other) const; |
| 788 | at::Tensor & xlogy_(const at::Tensor & other) const; |
| 789 | at::Tensor & xlogy_(const at::Scalar & other) const; |
| 790 | at::Tensor log_softmax(int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 791 | at::Tensor log_softmax(at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 792 | at::Tensor logcumsumexp(int64_t dim) const; |
| 793 | at::Tensor logcumsumexp(at::Dimname dim) const; |
| 794 | at::Tensor logsumexp(at::IntArrayRef dim, bool keepdim=false) const; |
| 795 | at::Tensor logsumexp(at::DimnameList dim, bool keepdim=false) const; |
| 796 | at::Tensor matmul(const at::Tensor & other) const; |
| 797 | at::Tensor matrix_power(int64_t n) const; |
| 798 | at::Tensor matrix_exp() const; |
| 799 | ::std::tuple<at::Tensor,at::Tensor> aminmax(c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false) const; |
| 800 | ::std::tuple<at::Tensor,at::Tensor> max(int64_t dim, bool keepdim=false) const; |
| 801 | ::std::tuple<at::Tensor,at::Tensor> max(at::Dimname dim, bool keepdim=false) const; |
| 802 | at::Tensor amax(at::IntArrayRef dim={}, bool keepdim=false) const; |
| 803 | at::Tensor mean(c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 804 | at::Tensor mean(at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 805 | at::Tensor mean(at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 806 | at::Tensor nanmean(at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 807 | at::Tensor median() const; |
| 808 | ::std::tuple<at::Tensor,at::Tensor> median(int64_t dim, bool keepdim=false) const; |
| 809 | ::std::tuple<at::Tensor,at::Tensor> median(at::Dimname dim, bool keepdim=false) const; |
| 810 | at::Tensor nanmedian() const; |
| 811 | ::std::tuple<at::Tensor,at::Tensor> nanmedian(int64_t dim, bool keepdim=false) const; |
| 812 | ::std::tuple<at::Tensor,at::Tensor> nanmedian(at::Dimname dim, bool keepdim=false) const; |
| 813 | ::std::tuple<at::Tensor,at::Tensor> min(int64_t dim, bool keepdim=false) const; |
| 814 | ::std::tuple<at::Tensor,at::Tensor> min(at::Dimname dim, bool keepdim=false) const; |
| 815 | at::Tensor amin(at::IntArrayRef dim={}, bool keepdim=false) const; |
| 816 | at::Tensor mm(const at::Tensor & mat2) const; |
| 817 | ::std::tuple<at::Tensor,at::Tensor> mode(int64_t dim=-1, bool keepdim=false) const; |
| 818 | ::std::tuple<at::Tensor,at::Tensor> mode(at::Dimname dim, bool keepdim=false) const; |
| 819 | at::Tensor mul(const at::Tensor & other) const; |
| 820 | at::Tensor & mul_(const at::Tensor & other) const; |
| 821 | at::Tensor mul(const at::Scalar & other) const; |
| 822 | at::Tensor & mul_(const at::Scalar & other) const; |
| 823 | at::Tensor multiply(const at::Tensor & other) const; |
| 824 | at::Tensor & multiply_(const at::Tensor & other) const; |
| 825 | at::Tensor multiply(const at::Scalar & other) const; |
| 826 | at::Tensor & multiply_(const at::Scalar & other) const; |
| 827 | at::Tensor mv(const at::Tensor & vec) const; |
| 828 | at::Tensor mvlgamma(int64_t p) const; |
| 829 | at::Tensor & mvlgamma_(int64_t p) const; |
| 830 | at::Tensor narrow_copy(int64_t dim, int64_t start, int64_t length) const; |
| 831 | at::Tensor narrow_copy_symint(int64_t dim, c10::SymInt start, c10::SymInt length) const; |
| 832 | at::Tensor narrow(int64_t dim, int64_t start, int64_t length) const; |
| 833 | at::Tensor narrow_symint(int64_t dim, c10::SymInt start, c10::SymInt length) const; |
| 834 | at::Tensor narrow(int64_t dim, const at::Tensor & start, int64_t length) const; |
| 835 | at::Tensor narrow_symint(int64_t dim, const at::Tensor & start, c10::SymInt length) const; |
| 836 | at::Tensor permute(at::IntArrayRef dims) const; |
| 837 | at::Tensor movedim(at::IntArrayRef source, at::IntArrayRef destination) const; |
| 838 | at::Tensor movedim(int64_t source, int64_t destination) const; |
| 839 | at::Tensor moveaxis(at::IntArrayRef source, at::IntArrayRef destination) const; |
| 840 | at::Tensor moveaxis(int64_t source, int64_t destination) const; |
| 841 | at::Tensor numpy_T() const; |
| 842 | at::Tensor matrix_H() const; |
| 843 | at::Tensor mT() const; |
| 844 | at::Tensor mH() const; |
| 845 | at::Tensor adjoint() const; |
| 846 | bool is_pinned(c10::optional<at::Device> device=c10::nullopt) const; |
| 847 | at::Tensor pin_memory(c10::optional<at::Device> device=c10::nullopt) const; |
| 848 | at::Tensor pinverse(double rcond=1e-15) const; |
| 849 | at::Tensor rad2deg() const; |
| 850 | at::Tensor & rad2deg_() const; |
| 851 | at::Tensor deg2rad() const; |
| 852 | at::Tensor & deg2rad_() const; |
| 853 | at::Tensor ravel() const; |
| 854 | at::Tensor reciprocal() const; |
| 855 | at::Tensor & reciprocal_() const; |
| 856 | at::Tensor neg() const; |
| 857 | at::Tensor & neg_() const; |
| 858 | at::Tensor negative() const; |
| 859 | at::Tensor & negative_() const; |
| 860 | at::Tensor repeat(at::IntArrayRef repeats) const; |
| 861 | at::Tensor repeat_symint(c10::SymIntArrayRef repeats) const; |
| 862 | at::Tensor repeat_interleave(const at::Tensor & repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) const; |
| 863 | at::Tensor repeat_interleave(int64_t repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) const; |
| 864 | at::Tensor repeat_interleave_symint(c10::SymInt repeats, c10::optional<int64_t> dim=c10::nullopt, c10::optional<int64_t> output_size=c10::nullopt) const; |
| 865 | at::Tensor reshape(at::IntArrayRef shape) const; |
| 866 | at::Tensor reshape_symint(c10::SymIntArrayRef shape) const; |
| 867 | at::Tensor _reshape_alias(at::IntArrayRef size, at::IntArrayRef stride) const; |
| 868 | at::Tensor _reshape_alias_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride) const; |
| 869 | at::Tensor reshape_as(const at::Tensor & other) const; |
| 870 | at::Tensor round() const; |
| 871 | at::Tensor & round_() const; |
| 872 | at::Tensor round(int64_t decimals) const; |
| 873 | at::Tensor & round_(int64_t decimals) const; |
| 874 | at::Tensor relu() const; |
| 875 | at::Tensor & relu_() const; |
| 876 | at::Tensor prelu(const at::Tensor & weight) const; |
| 877 | at::Tensor hardshrink(const at::Scalar & lambd=0.5) const; |
| 878 | at::Tensor hardshrink_backward(const at::Tensor & grad_out, const at::Scalar & lambd) const; |
| 879 | at::Tensor rsqrt() const; |
| 880 | at::Tensor & rsqrt_() const; |
| 881 | at::Tensor select(at::Dimname dim, int64_t index) const; |
| 882 | at::Tensor select(int64_t dim, int64_t index) const; |
| 883 | at::Tensor select_symint(int64_t dim, c10::SymInt index) const; |
| 884 | at::Tensor sigmoid() const; |
| 885 | at::Tensor & sigmoid_() const; |
| 886 | at::Tensor logit(c10::optional<double> eps=c10::nullopt) const; |
| 887 | at::Tensor & logit_(c10::optional<double> eps=c10::nullopt) const; |
| 888 | at::Tensor sin() const; |
| 889 | at::Tensor & sin_() const; |
| 890 | at::Tensor sinc() const; |
| 891 | at::Tensor & sinc_() const; |
| 892 | at::Tensor sinh() const; |
| 893 | at::Tensor & sinh_() const; |
| 894 | at::Tensor detach() const; |
| 895 | at::Tensor & detach_() const; |
| 896 | int64_t size(at::Dimname dim) const; |
| 897 | at::Tensor slice(int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) const; |
| 898 | at::Tensor slice_symint(int64_t dim=0, c10::optional<c10::SymInt> start=c10::nullopt, c10::optional<c10::SymInt> end=c10::nullopt, c10::SymInt step=1) const; |
| 899 | at::Tensor slice_scatter(const at::Tensor & src, int64_t dim=0, c10::optional<int64_t> start=c10::nullopt, c10::optional<int64_t> end=c10::nullopt, int64_t step=1) const; |
| 900 | at::Tensor slice_scatter_symint(const at::Tensor & src, int64_t dim=0, c10::optional<c10::SymInt> start=c10::nullopt, c10::optional<c10::SymInt> end=c10::nullopt, c10::SymInt step=1) const; |
| 901 | at::Tensor select_scatter(const at::Tensor & src, int64_t dim, int64_t index) const; |
| 902 | at::Tensor select_scatter_symint(const at::Tensor & src, int64_t dim, c10::SymInt index) const; |
| 903 | at::Tensor diagonal_scatter(const at::Tensor & src, int64_t offset=0, int64_t dim1=0, int64_t dim2=1) const; |
| 904 | at::Tensor as_strided_scatter(const at::Tensor & src, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset=c10::nullopt) const; |
| 905 | at::Tensor as_strided_scatter_symint(const at::Tensor & src, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset=c10::nullopt) const; |
| 906 | at::Tensor smm(const at::Tensor & mat2) const; |
| 907 | at::Tensor softmax(int64_t dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 908 | at::Tensor softmax(at::Dimname dim, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 909 | ::std::vector<at::Tensor> unsafe_split(int64_t split_size, int64_t dim=0) const; |
| 910 | ::std::vector<at::Tensor> unsafe_split_symint(c10::SymInt split_size, int64_t dim=0) const; |
| 911 | ::std::vector<at::Tensor> split(int64_t split_size, int64_t dim=0) const; |
| 912 | ::std::vector<at::Tensor> split_symint(c10::SymInt split_size, int64_t dim=0) const; |
| 913 | ::std::vector<at::Tensor> split(at::IntArrayRef split_size, int64_t dim=0) const; |
| 914 | ::std::vector<at::Tensor> split_symint(c10::SymIntArrayRef split_size, int64_t dim=0) const; |
| 915 | ::std::vector<at::Tensor> unsafe_split_with_sizes(at::IntArrayRef split_sizes, int64_t dim=0) const; |
| 916 | ::std::vector<at::Tensor> unsafe_split_with_sizes_symint(c10::SymIntArrayRef split_sizes, int64_t dim=0) const; |
| 917 | ::std::vector<at::Tensor> split_with_sizes(at::IntArrayRef split_sizes, int64_t dim=0) const; |
| 918 | ::std::vector<at::Tensor> split_with_sizes_symint(c10::SymIntArrayRef split_sizes, int64_t dim=0) const; |
| 919 | ::std::vector<at::Tensor> hsplit(int64_t sections) const; |
| 920 | ::std::vector<at::Tensor> hsplit(at::IntArrayRef indices) const; |
| 921 | ::std::vector<at::Tensor> vsplit(int64_t sections) const; |
| 922 | ::std::vector<at::Tensor> vsplit(at::IntArrayRef indices) const; |
| 923 | ::std::vector<at::Tensor> dsplit(int64_t sections) const; |
| 924 | ::std::vector<at::Tensor> dsplit(at::IntArrayRef indices) const; |
| 925 | at::Tensor squeeze() const; |
| 926 | at::Tensor squeeze(int64_t dim) const; |
| 927 | at::Tensor squeeze(at::Dimname dim) const; |
| 928 | at::Tensor squeeze(at::IntArrayRef dim) const; |
| 929 | at::Tensor & squeeze_() const; |
| 930 | at::Tensor & squeeze_(int64_t dim) const; |
| 931 | at::Tensor & squeeze_(at::IntArrayRef dim) const; |
| 932 | at::Tensor & squeeze_(at::Dimname dim) const; |
| 933 | at::Tensor sspaddmm(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 934 | at::Tensor stft(int64_t n_fft, c10::optional<int64_t> hop_length, c10::optional<int64_t> win_length, const c10::optional<at::Tensor> & window, bool normalized, c10::optional<bool> onesided=c10::nullopt, c10::optional<bool> return_complex=c10::nullopt) const; |
| 935 | at::Tensor stft(int64_t n_fft, c10::optional<int64_t> hop_length=c10::nullopt, c10::optional<int64_t> win_length=c10::nullopt, const c10::optional<at::Tensor> & window={}, bool center=true, c10::string_view pad_mode="reflect", bool normalized=false, c10::optional<bool> onesided=c10::nullopt, c10::optional<bool> return_complex=c10::nullopt) const; |
| 936 | at::Tensor istft(int64_t n_fft, c10::optional<int64_t> hop_length=c10::nullopt, c10::optional<int64_t> win_length=c10::nullopt, const c10::optional<at::Tensor> & window={}, bool center=true, bool normalized=false, c10::optional<bool> onesided=c10::nullopt, c10::optional<int64_t> length=c10::nullopt, bool return_complex=false) const; |
| 937 | int64_t stride(at::Dimname dim) const; |
| 938 | at::Tensor sum(c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 939 | at::Tensor sum(at::OptionalIntArrayRef dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 940 | at::Tensor sum(at::DimnameList dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 941 | at::Tensor nansum(at::OptionalIntArrayRef dim=c10::nullopt, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 942 | at::Tensor sum_to_size(at::IntArrayRef size) const; |
| 943 | at::Tensor sqrt() const; |
| 944 | at::Tensor & sqrt_() const; |
| 945 | at::Tensor square() const; |
| 946 | at::Tensor & square_() const; |
| 947 | at::Tensor std(bool unbiased) const; |
| 948 | at::Tensor std(at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) const; |
| 949 | at::Tensor std(at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) const; |
| 950 | at::Tensor std(at::DimnameList dim, bool unbiased, bool keepdim=false) const; |
| 951 | at::Tensor std(at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) const; |
| 952 | at::Tensor prod(c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 953 | at::Tensor prod(int64_t dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 954 | at::Tensor prod(at::Dimname dim, bool keepdim=false, c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 955 | at::Tensor t() const; |
| 956 | at::Tensor & t_() const; |
| 957 | at::Tensor tan() const; |
| 958 | at::Tensor & tan_() const; |
| 959 | at::Tensor tanh() const; |
| 960 | at::Tensor & tanh_() const; |
| 961 | at::Tensor tile(at::IntArrayRef dims) const; |
| 962 | at::Tensor transpose(int64_t dim0, int64_t dim1) const; |
| 963 | at::Tensor transpose(at::Dimname dim0, at::Dimname dim1) const; |
| 964 | at::Tensor & transpose_(int64_t dim0, int64_t dim1) const; |
| 965 | at::Tensor flip(at::IntArrayRef dims) const; |
| 966 | at::Tensor fliplr() const; |
| 967 | at::Tensor flipud() const; |
| 968 | at::Tensor roll(at::IntArrayRef shifts, at::IntArrayRef dims={}) const; |
| 969 | at::Tensor rot90(int64_t k=1, at::IntArrayRef dims={0,1}) const; |
| 970 | at::Tensor _nested_tensor_size() const; |
| 971 | at::Tensor _nested_tensor_strides() const; |
| 972 | ::std::vector<int64_t> _nested_tensor_offsets() const; |
| 973 | at::Tensor trunc() const; |
| 974 | at::Tensor & trunc_() const; |
| 975 | at::Tensor fix() const; |
| 976 | at::Tensor & fix_() const; |
| 977 | at::Tensor type_as(const at::Tensor & other) const; |
| 978 | at::Tensor unsqueeze(int64_t dim) const; |
| 979 | at::Tensor & unsqueeze_(int64_t dim) const; |
| 980 | at::Tensor var(bool unbiased) const; |
| 981 | at::Tensor var(at::OptionalIntArrayRef dim, bool unbiased, bool keepdim=false) const; |
| 982 | at::Tensor var(at::OptionalIntArrayRef dim=c10::nullopt, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) const; |
| 983 | at::Tensor var(at::DimnameList dim, bool unbiased, bool keepdim=false) const; |
| 984 | at::Tensor var(at::DimnameList dim, c10::optional<int64_t> correction=c10::nullopt, bool keepdim=false) const; |
| 985 | at::Tensor view_as(const at::Tensor & other) const; |
| 986 | at::Tensor where(const at::Tensor & condition, const at::Tensor & other) const; |
| 987 | at::Tensor where(const at::Tensor & condition, const at::Scalar & other) const; |
| 988 | at::Tensor norm(const c10::optional<at::Scalar> & p, at::ScalarType dtype) const; |
| 989 | at::Tensor norm(const at::Scalar & p=2) const; |
| 990 | at::Tensor norm(const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype) const; |
| 991 | at::Tensor norm(const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim=false) const; |
| 992 | at::Tensor norm(const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) const; |
| 993 | at::Tensor norm(const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim=false) const; |
| 994 | ::std::tuple<at::Tensor,at::Tensor> frexp() const; |
| 995 | at::Tensor clone(c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 996 | at::Tensor positive() const; |
| 997 | const at::Tensor & resize_as_(const at::Tensor & the_template, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 998 | const at::Tensor & resize_as_sparse_(const at::Tensor & the_template) const; |
| 999 | at::Tensor & zero_() const; |
| 1000 | at::Tensor sub(const at::Tensor & other, const at::Scalar & alpha=1) const; |
| 1001 | at::Tensor & sub_(const at::Tensor & other, const at::Scalar & alpha=1) const; |
| 1002 | at::Tensor sub(const at::Scalar & other, const at::Scalar & alpha=1) const; |
| 1003 | at::Tensor & sub_(const at::Scalar & other, const at::Scalar & alpha=1) const; |
| 1004 | at::Tensor subtract(const at::Tensor & other, const at::Scalar & alpha=1) const; |
| 1005 | at::Tensor & subtract_(const at::Tensor & other, const at::Scalar & alpha=1) const; |
| 1006 | at::Tensor subtract(const at::Scalar & other, const at::Scalar & alpha=1) const; |
| 1007 | at::Tensor & subtract_(const at::Scalar & other, const at::Scalar & alpha=1) const; |
| 1008 | at::Tensor heaviside(const at::Tensor & values) const; |
| 1009 | at::Tensor & heaviside_(const at::Tensor & values) const; |
| 1010 | at::Tensor addmm(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 1011 | at::Tensor & addmm_(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 1012 | at::Tensor _addmm_activation(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta=1, const at::Scalar & alpha=1, bool use_gelu=false) const; |
| 1013 | const at::Tensor & sparse_resize_(at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) const; |
| 1014 | const at::Tensor & sparse_resize_and_clear_(at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) const; |
| 1015 | at::Tensor sparse_mask(const at::Tensor & mask) const; |
| 1016 | at::Tensor to_dense(c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 1017 | at::Tensor _to_dense(c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 1018 | int64_t sparse_dim() const; |
| 1019 | int64_t _dimI() const; |
| 1020 | int64_t dense_dim() const; |
| 1021 | int64_t _dimV() const; |
| 1022 | int64_t _nnz() const; |
| 1023 | at::Tensor coalesce() const; |
| 1024 | bool is_coalesced() const; |
| 1025 | at::Tensor _indices() const; |
| 1026 | at::Tensor _values() const; |
| 1027 | at::Tensor & _coalesced_(bool coalesced) const; |
| 1028 | at::Tensor indices() const; |
| 1029 | at::Tensor values() const; |
| 1030 | at::Tensor crow_indices() const; |
| 1031 | at::Tensor col_indices() const; |
| 1032 | at::Tensor ccol_indices() const; |
| 1033 | at::Tensor row_indices() const; |
| 1034 | ::std::vector<at::Tensor> unbind(int64_t dim=0) const; |
| 1035 | ::std::vector<at::Tensor> unbind(at::Dimname dim) const; |
| 1036 | at::Tensor to_sparse(int64_t sparse_dim) const; |
| 1037 | at::Tensor to_sparse(c10::optional<at::Layout> layout=c10::nullopt, at::OptionalIntArrayRef blocksize=c10::nullopt, c10::optional<int64_t> dense_dim=c10::nullopt) const; |
| 1038 | at::Tensor to_sparse_csr(c10::optional<int64_t> dense_dim=c10::nullopt) const; |
| 1039 | at::Tensor to_sparse_csc(c10::optional<int64_t> dense_dim=c10::nullopt) const; |
| 1040 | at::Tensor to_sparse_bsr(at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim=c10::nullopt) const; |
| 1041 | at::Tensor to_sparse_bsc(at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim=c10::nullopt) const; |
| 1042 | at::Tensor to_mkldnn(c10::optional<at::ScalarType> dtype=c10::nullopt) const; |
| 1043 | at::Tensor dequantize() const; |
| 1044 | double q_scale() const; |
| 1045 | int64_t q_zero_point() const; |
| 1046 | at::Tensor q_per_channel_scales() const; |
| 1047 | at::Tensor q_per_channel_zero_points() const; |
| 1048 | int64_t q_per_channel_axis() const; |
| 1049 | at::Tensor int_repr() const; |
| 1050 | at::QScheme qscheme() const; |
| 1051 | at::Tensor _autocast_to_reduced_precision(bool cuda_enabled, bool cpu_enabled, at::ScalarType cuda_dtype, at::ScalarType cpu_dtype) const; |
| 1052 | at::Tensor _autocast_to_full_precision(bool cuda_enabled, bool cpu_enabled) const; |
| 1053 | at::Tensor to(at::TensorOptions options={}, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 1054 | at::Tensor to(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) const; |
| 1055 | at::Tensor to(at::Device device, at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 1056 | at::Tensor to(at::ScalarType dtype, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 1057 | at::Tensor to(const at::Tensor & other, bool non_blocking=false, bool copy=false, c10::optional<at::MemoryFormat> memory_format=c10::nullopt) const; |
| 1058 | at::Scalar item() const; |
| 1059 | at::Tensor & set_(at::Storage source) const; |
| 1060 | at::Tensor & set_(at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) const; |
| 1061 | at::Tensor & set__symint(at::Storage source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) const; |
| 1062 | at::Tensor & set_(const at::Tensor & source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride={}) const; |
| 1063 | at::Tensor & set__symint(const at::Tensor & source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride={}) const; |
| 1064 | at::Tensor & set_(const at::Tensor & source) const; |
| 1065 | at::Tensor & set_() const; |
| 1066 | bool is_set_to(const at::Tensor & tensor) const; |
| 1067 | at::Tensor & masked_fill_(const at::Tensor & mask, const at::Scalar & value) const; |
| 1068 | at::Tensor masked_fill(const at::Tensor & mask, const at::Scalar & value) const; |
| 1069 | at::Tensor & masked_fill_(const at::Tensor & mask, const at::Tensor & value) const; |
| 1070 | at::Tensor masked_fill(const at::Tensor & mask, const at::Tensor & value) const; |
| 1071 | at::Tensor & masked_scatter_(const at::Tensor & mask, const at::Tensor & source) const; |
| 1072 | at::Tensor masked_scatter(const at::Tensor & mask, const at::Tensor & source) const; |
| 1073 | at::Tensor view(at::IntArrayRef size) const; |
| 1074 | at::Tensor view_symint(c10::SymIntArrayRef size) const; |
| 1075 | at::Tensor view(at::ScalarType dtype) const; |
| 1076 | at::Tensor & put_(const at::Tensor & index, const at::Tensor & source, bool accumulate=false) const; |
| 1077 | at::Tensor put(const at::Tensor & index, const at::Tensor & source, bool accumulate=false) const; |
| 1078 | at::Tensor & index_add_(int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) const; |
| 1079 | at::Tensor index_add(int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) const; |
| 1080 | at::Tensor index_add(at::Dimname dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha=1) const; |
| 1081 | at::Tensor & index_reduce_(int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self=true) const; |
| 1082 | at::Tensor index_reduce(int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self=true) const; |
| 1083 | at::Tensor & index_fill_(int64_t dim, const at::Tensor & index, const at::Scalar & value) const; |
| 1084 | at::Tensor index_fill(int64_t dim, const at::Tensor & index, const at::Scalar & value) const; |
| 1085 | at::Tensor & index_fill_(int64_t dim, const at::Tensor & index, const at::Tensor & value) const; |
| 1086 | at::Tensor index_fill(int64_t dim, const at::Tensor & index, const at::Tensor & value) const; |
| 1087 | at::Tensor & index_fill_(at::Dimname dim, const at::Tensor & index, const at::Scalar & value) const; |
| 1088 | at::Tensor & index_fill_(at::Dimname dim, const at::Tensor & index, const at::Tensor & value) const; |
| 1089 | at::Tensor index_fill(at::Dimname dim, const at::Tensor & index, const at::Scalar & value) const; |
| 1090 | at::Tensor index_fill(at::Dimname dim, const at::Tensor & index, const at::Tensor & value) const; |
| 1091 | at::Tensor scatter(int64_t dim, const at::Tensor & index, const at::Tensor & src) const; |
| 1092 | at::Tensor & scatter_(int64_t dim, const at::Tensor & index, const at::Tensor & src) const; |
| 1093 | at::Tensor scatter(int64_t dim, const at::Tensor & index, const at::Scalar & value) const; |
| 1094 | at::Tensor & scatter_(int64_t dim, const at::Tensor & index, const at::Scalar & value) const; |
| 1095 | at::Tensor scatter(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) const; |
| 1096 | at::Tensor & scatter_(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) const; |
| 1097 | at::Tensor scatter(int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) const; |
| 1098 | at::Tensor & scatter_(int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) const; |
| 1099 | at::Tensor scatter(at::Dimname dim, const at::Tensor & index, const at::Tensor & src) const; |
| 1100 | at::Tensor scatter(at::Dimname dim, const at::Tensor & index, const at::Scalar & value) const; |
| 1101 | at::Tensor scatter_add(int64_t dim, const at::Tensor & index, const at::Tensor & src) const; |
| 1102 | at::Tensor & scatter_add_(int64_t dim, const at::Tensor & index, const at::Tensor & src) const; |
| 1103 | at::Tensor scatter_add(at::Dimname dim, const at::Tensor & index, const at::Tensor & src) const; |
| 1104 | at::Tensor scatter_reduce(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self=true) const; |
| 1105 | at::Tensor & scatter_reduce_(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self=true) const; |
| 1106 | at::Tensor & eq_(const at::Scalar & other) const; |
| 1107 | at::Tensor & eq_(const at::Tensor & other) const; |
| 1108 | at::Tensor bitwise_and(const at::Scalar & other) const; |
| 1109 | at::Tensor bitwise_and(const at::Tensor & other) const; |
| 1110 | at::Tensor & bitwise_and_(const at::Scalar & other) const; |
| 1111 | at::Tensor & bitwise_and_(const at::Tensor & other) const; |
| 1112 | at::Tensor __and__(const at::Scalar & other) const; |
| 1113 | at::Tensor __and__(const at::Tensor & other) const; |
| 1114 | at::Tensor & __iand__(const at::Scalar & other) const; |
| 1115 | at::Tensor & __iand__(const at::Tensor & other) const; |
| 1116 | at::Tensor bitwise_or(const at::Scalar & other) const; |
| 1117 | at::Tensor bitwise_or(const at::Tensor & other) const; |
| 1118 | at::Tensor & bitwise_or_(const at::Scalar & other) const; |
| 1119 | at::Tensor & bitwise_or_(const at::Tensor & other) const; |
| 1120 | at::Tensor __or__(const at::Scalar & other) const; |
| 1121 | at::Tensor __or__(const at::Tensor & other) const; |
| 1122 | at::Tensor & __ior__(const at::Scalar & other) const; |
| 1123 | at::Tensor & __ior__(const at::Tensor & other) const; |
| 1124 | at::Tensor bitwise_xor(const at::Scalar & other) const; |
| 1125 | at::Tensor bitwise_xor(const at::Tensor & other) const; |
| 1126 | at::Tensor & bitwise_xor_(const at::Scalar & other) const; |
| 1127 | at::Tensor & bitwise_xor_(const at::Tensor & other) const; |
| 1128 | at::Tensor __xor__(const at::Scalar & other) const; |
| 1129 | at::Tensor __xor__(const at::Tensor & other) const; |
| 1130 | at::Tensor & __ixor__(const at::Scalar & other) const; |
| 1131 | at::Tensor & __ixor__(const at::Tensor & other) const; |
| 1132 | at::Tensor __lshift__(const at::Scalar & other) const; |
| 1133 | at::Tensor __lshift__(const at::Tensor & other) const; |
| 1134 | at::Tensor & __ilshift__(const at::Scalar & other) const; |
| 1135 | at::Tensor & __ilshift__(const at::Tensor & other) const; |
| 1136 | at::Tensor bitwise_left_shift(const at::Tensor & other) const; |
| 1137 | at::Tensor & bitwise_left_shift_(const at::Tensor & other) const; |
| 1138 | at::Tensor bitwise_left_shift(const at::Scalar & other) const; |
| 1139 | at::Tensor & bitwise_left_shift_(const at::Scalar & other) const; |
| 1140 | at::Tensor __rshift__(const at::Scalar & other) const; |
| 1141 | at::Tensor __rshift__(const at::Tensor & other) const; |
| 1142 | at::Tensor & __irshift__(const at::Scalar & other) const; |
| 1143 | at::Tensor & __irshift__(const at::Tensor & other) const; |
| 1144 | at::Tensor bitwise_right_shift(const at::Tensor & other) const; |
| 1145 | at::Tensor & bitwise_right_shift_(const at::Tensor & other) const; |
| 1146 | at::Tensor bitwise_right_shift(const at::Scalar & other) const; |
| 1147 | at::Tensor & bitwise_right_shift_(const at::Scalar & other) const; |
| 1148 | at::Tensor & tril_(int64_t diagonal=0) const; |
| 1149 | at::Tensor & triu_(int64_t diagonal=0) const; |
| 1150 | at::Tensor & digamma_() const; |
| 1151 | at::Tensor & lerp_(const at::Tensor & end, const at::Scalar & weight) const; |
| 1152 | at::Tensor & lerp_(const at::Tensor & end, const at::Tensor & weight) const; |
| 1153 | at::Tensor & addbmm_(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 1154 | at::Tensor addbmm(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta=1, const at::Scalar & alpha=1) const; |
| 1155 | at::Tensor & random_(int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1156 | at::Tensor & random_(int64_t to, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1157 | at::Tensor & random_(c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1158 | at::Tensor & uniform_(double from=0, double to=1, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1159 | at::Tensor & cauchy_(double median=0, double sigma=1, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1160 | at::Tensor & log_normal_(double mean=1, double std=2, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1161 | at::Tensor & exponential_(double lambd=1, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1162 | at::Tensor & geometric_(double p, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1163 | at::Tensor diag(int64_t diagonal=0) const; |
| 1164 | at::Tensor cross(const at::Tensor & other, c10::optional<int64_t> dim=c10::nullopt) const; |
| 1165 | at::Tensor triu(int64_t diagonal=0) const; |
| 1166 | at::Tensor tril(int64_t diagonal=0) const; |
| 1167 | at::Tensor trace() const; |
| 1168 | at::Tensor ne(const at::Scalar & other) const; |
| 1169 | at::Tensor ne(const at::Tensor & other) const; |
| 1170 | at::Tensor & ne_(const at::Scalar & other) const; |
| 1171 | at::Tensor & ne_(const at::Tensor & other) const; |
| 1172 | at::Tensor not_equal(const at::Scalar & other) const; |
| 1173 | at::Tensor not_equal(const at::Tensor & other) const; |
| 1174 | at::Tensor & not_equal_(const at::Scalar & other) const; |
| 1175 | at::Tensor & not_equal_(const at::Tensor & other) const; |
| 1176 | at::Tensor eq(const at::Scalar & other) const; |
| 1177 | at::Tensor eq(const at::Tensor & other) const; |
| 1178 | at::Tensor ge(const at::Scalar & other) const; |
| 1179 | at::Tensor ge(const at::Tensor & other) const; |
| 1180 | at::Tensor & ge_(const at::Scalar & other) const; |
| 1181 | at::Tensor & ge_(const at::Tensor & other) const; |
| 1182 | at::Tensor greater_equal(const at::Scalar & other) const; |
| 1183 | at::Tensor greater_equal(const at::Tensor & other) const; |
| 1184 | at::Tensor & greater_equal_(const at::Scalar & other) const; |
| 1185 | at::Tensor & greater_equal_(const at::Tensor & other) const; |
| 1186 | at::Tensor le(const at::Scalar & other) const; |
| 1187 | at::Tensor le(const at::Tensor & other) const; |
| 1188 | at::Tensor & le_(const at::Scalar & other) const; |
| 1189 | at::Tensor & le_(const at::Tensor & other) const; |
| 1190 | at::Tensor less_equal(const at::Scalar & other) const; |
| 1191 | at::Tensor less_equal(const at::Tensor & other) const; |
| 1192 | at::Tensor & less_equal_(const at::Scalar & other) const; |
| 1193 | at::Tensor & less_equal_(const at::Tensor & other) const; |
| 1194 | at::Tensor gt(const at::Scalar & other) const; |
| 1195 | at::Tensor gt(const at::Tensor & other) const; |
| 1196 | at::Tensor & gt_(const at::Scalar & other) const; |
| 1197 | at::Tensor & gt_(const at::Tensor & other) const; |
| 1198 | at::Tensor greater(const at::Scalar & other) const; |
| 1199 | at::Tensor greater(const at::Tensor & other) const; |
| 1200 | at::Tensor & greater_(const at::Scalar & other) const; |
| 1201 | at::Tensor & greater_(const at::Tensor & other) const; |
| 1202 | at::Tensor lt(const at::Scalar & other) const; |
| 1203 | at::Tensor lt(const at::Tensor & other) const; |
| 1204 | at::Tensor & lt_(const at::Scalar & other) const; |
| 1205 | at::Tensor & lt_(const at::Tensor & other) const; |
| 1206 | at::Tensor less(const at::Scalar & other) const; |
| 1207 | at::Tensor less(const at::Tensor & other) const; |
| 1208 | at::Tensor & less_(const at::Scalar & other) const; |
| 1209 | at::Tensor & less_(const at::Tensor & other) const; |
| 1210 | at::Tensor take(const at::Tensor & index) const; |
| 1211 | at::Tensor take_along_dim(const at::Tensor & indices, c10::optional<int64_t> dim=c10::nullopt) const; |
| 1212 | at::Tensor index_select(int64_t dim, const at::Tensor & index) const; |
| 1213 | at::Tensor index_select(at::Dimname dim, const at::Tensor & index) const; |
| 1214 | at::Tensor masked_select(const at::Tensor & mask) const; |
| 1215 | at::Tensor nonzero() const; |
| 1216 | ::std::vector<at::Tensor> nonzero_numpy() const; |
| 1217 | at::Tensor argwhere() const; |
| 1218 | at::Tensor gather(int64_t dim, const at::Tensor & index, bool sparse_grad=false) const; |
| 1219 | at::Tensor gather(at::Dimname dim, const at::Tensor & index, bool sparse_grad=false) const; |
| 1220 | at::Tensor addcmul(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) const; |
| 1221 | at::Tensor & addcmul_(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) const; |
| 1222 | at::Tensor addcdiv(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) const; |
| 1223 | at::Tensor & addcdiv_(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value=1) const; |
| 1224 | ::std::tuple<at::Tensor,at::Tensor> triangular_solve(const at::Tensor & A, bool upper=true, bool transpose=false, bool unitriangular=false) const; |
| 1225 | ::std::tuple<at::Tensor,at::Tensor,at::Tensor> svd(bool some=true, bool compute_uv=true) const; |
| 1226 | at::Tensor swapaxes(int64_t axis0, int64_t axis1) const; |
| 1227 | at::Tensor & swapaxes_(int64_t axis0, int64_t axis1) const; |
| 1228 | at::Tensor swapdims(int64_t dim0, int64_t dim1) const; |
| 1229 | at::Tensor & swapdims_(int64_t dim0, int64_t dim1) const; |
| 1230 | at::Tensor cholesky(bool upper=false) const; |
| 1231 | at::Tensor cholesky_solve(const at::Tensor & input2, bool upper=false) const; |
| 1232 | at::Tensor cholesky_inverse(bool upper=false) const; |
| 1233 | ::std::tuple<at::Tensor,at::Tensor> qr(bool some=true) const; |
| 1234 | ::std::tuple<at::Tensor,at::Tensor> geqrf() const; |
| 1235 | at::Tensor orgqr(const at::Tensor & input2) const; |
| 1236 | at::Tensor ormqr(const at::Tensor & input2, const at::Tensor & input3, bool left=true, bool transpose=false) const; |
| 1237 | at::Tensor lu_solve(const at::Tensor & LU_data, const at::Tensor & LU_pivots) const; |
| 1238 | at::Tensor multinomial(int64_t num_samples, bool replacement=false, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1239 | at::Tensor & lgamma_() const; |
| 1240 | at::Tensor lgamma() const; |
| 1241 | at::Tensor digamma() const; |
| 1242 | at::Tensor polygamma(int64_t n) const; |
| 1243 | at::Tensor & polygamma_(int64_t n) const; |
| 1244 | at::Tensor erfinv() const; |
| 1245 | at::Tensor & erfinv_() const; |
| 1246 | at::Tensor i0() const; |
| 1247 | at::Tensor & i0_() const; |
| 1248 | at::Tensor sign() const; |
| 1249 | at::Tensor & sign_() const; |
| 1250 | at::Tensor signbit() const; |
| 1251 | at::Tensor dist(const at::Tensor & other, const at::Scalar & p=2) const; |
| 1252 | at::Tensor & atan2_(const at::Tensor & other) const; |
| 1253 | at::Tensor atan2(const at::Tensor & other) const; |
| 1254 | at::Tensor arctan2(const at::Tensor & other) const; |
| 1255 | at::Tensor & arctan2_(const at::Tensor & other) const; |
| 1256 | at::Tensor lerp(const at::Tensor & end, const at::Scalar & weight) const; |
| 1257 | at::Tensor lerp(const at::Tensor & end, const at::Tensor & weight) const; |
| 1258 | at::Tensor histc(int64_t bins=100, const at::Scalar & min=0, const at::Scalar & max=0) const; |
| 1259 | ::std::tuple<at::Tensor,at::Tensor> histogram(const at::Tensor & bins, const c10::optional<at::Tensor> & weight={}, bool density=false) const; |
| 1260 | ::std::tuple<at::Tensor,at::Tensor> histogram(int64_t bins=100, c10::optional<at::ArrayRef<double>> range=c10::nullopt, const c10::optional<at::Tensor> & weight={}, bool density=false) const; |
| 1261 | at::Tensor fmod(const at::Scalar & other) const; |
| 1262 | at::Tensor & fmod_(const at::Scalar & other) const; |
| 1263 | at::Tensor fmod(const at::Tensor & other) const; |
| 1264 | at::Tensor & fmod_(const at::Tensor & other) const; |
| 1265 | at::Tensor hypot(const at::Tensor & other) const; |
| 1266 | at::Tensor & hypot_(const at::Tensor & other) const; |
| 1267 | at::Tensor igamma(const at::Tensor & other) const; |
| 1268 | at::Tensor & igamma_(const at::Tensor & other) const; |
| 1269 | at::Tensor igammac(const at::Tensor & other) const; |
| 1270 | at::Tensor & igammac_(const at::Tensor & other) const; |
| 1271 | at::Tensor nextafter(const at::Tensor & other) const; |
| 1272 | at::Tensor & nextafter_(const at::Tensor & other) const; |
| 1273 | at::Tensor remainder(const at::Scalar & other) const; |
| 1274 | at::Tensor & remainder_(const at::Scalar & other) const; |
| 1275 | at::Tensor remainder(const at::Tensor & other) const; |
| 1276 | at::Tensor & remainder_(const at::Tensor & other) const; |
| 1277 | at::Tensor min() const; |
| 1278 | at::Tensor fmin(const at::Tensor & other) const; |
| 1279 | at::Tensor max() const; |
| 1280 | at::Tensor fmax(const at::Tensor & other) const; |
| 1281 | at::Tensor maximum(const at::Tensor & other) const; |
| 1282 | at::Tensor max(const at::Tensor & other) const; |
| 1283 | at::Tensor minimum(const at::Tensor & other) const; |
| 1284 | at::Tensor min(const at::Tensor & other) const; |
| 1285 | at::Tensor quantile(const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const; |
| 1286 | at::Tensor quantile(double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const; |
| 1287 | at::Tensor nanquantile(const at::Tensor & q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const; |
| 1288 | at::Tensor nanquantile(double q, c10::optional<int64_t> dim=c10::nullopt, bool keepdim=false, c10::string_view interpolation="linear") const; |
| 1289 | ::std::tuple<at::Tensor,at::Tensor> sort(int64_t dim=-1, bool descending=false) const; |
| 1290 | ::std::tuple<at::Tensor,at::Tensor> sort(c10::optional<bool> stable, int64_t dim=-1, bool descending=false) const; |
| 1291 | ::std::tuple<at::Tensor,at::Tensor> sort(at::Dimname dim, bool descending=false) const; |
| 1292 | ::std::tuple<at::Tensor,at::Tensor> sort(c10::optional<bool> stable, at::Dimname dim, bool descending=false) const; |
| 1293 | at::Tensor msort() const; |
| 1294 | at::Tensor argsort(int64_t dim=-1, bool descending=false) const; |
| 1295 | at::Tensor argsort(bool stable, int64_t dim=-1, bool descending=false) const; |
| 1296 | at::Tensor argsort(at::Dimname dim, bool descending=false) const; |
| 1297 | ::std::tuple<at::Tensor,at::Tensor> topk(int64_t k, int64_t dim=-1, bool largest=true, bool sorted=true) const; |
| 1298 | at::Tensor all() const; |
| 1299 | at::Tensor any() const; |
| 1300 | at::Tensor renorm(const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) const; |
| 1301 | at::Tensor & renorm_(const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) const; |
| 1302 | at::Tensor unfold(int64_t dimension, int64_t size, int64_t step) const; |
| 1303 | bool equal(const at::Tensor & other) const; |
| 1304 | at::Tensor pow(const at::Tensor & exponent) const; |
| 1305 | at::Tensor pow(const at::Scalar & exponent) const; |
| 1306 | at::Tensor & pow_(const at::Scalar & exponent) const; |
| 1307 | at::Tensor & pow_(const at::Tensor & exponent) const; |
| 1308 | at::Tensor float_power(const at::Tensor & exponent) const; |
| 1309 | at::Tensor float_power(const at::Scalar & exponent) const; |
| 1310 | at::Tensor & float_power_(const at::Scalar & exponent) const; |
| 1311 | at::Tensor & float_power_(const at::Tensor & exponent) const; |
| 1312 | at::Tensor & normal_(double mean=0, double std=1, c10::optional<at::Generator> generator=c10::nullopt) const; |
| 1313 | at::Tensor alias() const; |
| 1314 | at::Tensor isfinite() const; |
| 1315 | at::Tensor isinf() const; |
| 1316 | void record_stream(at::Stream s) const; |
| 1317 | at::Tensor isposinf() const; |
| 1318 | at::Tensor isneginf() const; |
| 1319 | at::Tensor det() const; |
| 1320 | ::std::tuple<at::Tensor,at::Tensor> slogdet() const; |
| 1321 | at::Tensor logdet() const; |
| 1322 | at::Tensor inverse() const; |
| 1323 | at::Tensor inner(const at::Tensor & other) const; |
| 1324 | at::Tensor outer(const at::Tensor & vec2) const; |
| 1325 | at::Tensor ger(const at::Tensor & vec2) const; |
| 1326 | at::Tensor to_padded_tensor(double padding, at::OptionalIntArrayRef output_size=c10::nullopt) const; |
| 1327 | at::Tensor to_padded_tensor_symint(double padding, at::OptionalSymIntArrayRef output_size=c10::nullopt) const; |
| 1328 | |
| 1329 | // Special C++ only overloads for std()-like functions (See gh-40287) |
| 1330 | // These are needed because int -> bool conversion takes precedence over int -> IntArrayRef |
| 1331 | // So, for example std(0) would select the std(unbiased=False) overload |
| 1332 | |
| 1333 | Tensor var(int dim) const { |
| 1334 | return var(IntArrayRef{dim}); |
| 1335 | } |
| 1336 | |
| 1337 | Tensor std(int dim) const { |
| 1338 | return std(IntArrayRef{dim}); |
| 1339 | } |
| 1340 | |
| 1341 | // We changed .dtype() to return a TypeMeta in #12766. Ideally, we want the |
| 1342 | // at::kDouble and its friends to be TypeMeta's, but that hasn't happened yet. |
| 1343 | // Before that change, we make this method to maintain BC for C++ usage like |
| 1344 | // `x.to(y.dtype)`. |
| 1345 | // TODO: remove following two after at::kDouble and its friends are TypeMeta's. |
| 1346 | inline Tensor to(caffe2::TypeMeta type_meta, bool non_blocking=false, bool copy=false) const { |
| 1347 | return this->to(/*scalar_type=*/typeMetaToScalarType(type_meta), non_blocking, copy); |
| 1348 | } |
| 1349 | inline Tensor to(Device device, caffe2::TypeMeta type_meta, bool non_blocking=false, bool copy=false) const { |
| 1350 | return this->to(device, /*scalar_type=*/typeMetaToScalarType(type_meta), non_blocking, copy); |
| 1351 | } |
| 1352 | |
| 1353 | template <typename F, typename... Args> |
| 1354 | decltype(auto) m(F func, Args&&... params) const { |
| 1355 | return func(*this, std::forward<Args>(params)...); |
| 1356 | } |
| 1357 | |
| 1358 | /// NOTE: This is similar to the legacy `.data()` function on `Variable`, and is intended |
| 1359 | /// to be used from functions that need to access the `Variable`'s equivalent `Tensor` |
| 1360 | /// (i.e. `Tensor` that shares the same storage and tensor metadata with the `Variable`). |
| 1361 | /// |
| 1362 | /// One notable difference with the legacy `.data()` function is that changes to the |
| 1363 | /// returned `Tensor`'s tensor metadata (e.g. sizes / strides / storage / storage_offset) |
| 1364 | /// will not update the original `Variable`, due to the fact that this function |
| 1365 | /// shallow-copies the `Variable`'s underlying TensorImpl. |
| 1366 | at::Tensor tensor_data() const { |
| 1367 | return TensorBase::tensor_data(); |
| 1368 | } |
| 1369 | |
| 1370 | /// NOTE: `var.variable_data()` in C++ has the same semantics as `tensor.data` |
| 1371 | /// in Python, which create a new `Variable` that shares the same storage and |
| 1372 | /// tensor metadata with the original `Variable`, but with a completely new |
| 1373 | /// autograd history. |
| 1374 | /// |
| 1375 | /// NOTE: If we change the tensor metadata (e.g. sizes / strides / |
| 1376 | /// storage / storage_offset) of a variable created from `var.variable_data()`, those |
| 1377 | /// changes will not update the original variable `var`. In `.variable_data()`, we set |
| 1378 | /// `allow_tensor_metadata_change_` to false to make such changes explicitly illegal, |
| 1379 | /// in order to prevent users from changing metadata of `var.variable_data()` |
| 1380 | /// and expecting the original variable `var` to also be updated. |
| 1381 | at::Tensor variable_data() const { |
| 1382 | return TensorBase::variable_data(); |
| 1383 | } |
| 1384 | |
| 1385 | // Hooks |
| 1386 | //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
| 1387 | |
| 1388 | template <typename T> |
| 1389 | using hook_return_void_t = std::enable_if_t<std::is_void<typename c10::invoke_result_t<T&, Tensor>>::value, unsigned>; |
| 1390 | template <typename T> |
| 1391 | using hook_return_var_t = std::enable_if_t<std::is_same<typename c10::invoke_result_t<T&, Tensor>, Tensor>::value, unsigned>; |
| 1392 | |
| 1393 | /// Registers a backward hook. |
| 1394 | /// |
| 1395 | /// The hook will be called every time a gradient with respect to the Tensor is computed. |
| 1396 | /// The hook should have one of the following signature: |
| 1397 | /// ``` |
| 1398 | /// hook(Tensor grad) -> Tensor |
| 1399 | /// ``` |
| 1400 | /// ``` |
| 1401 | /// hook(Tensor grad) -> void |
| 1402 | /// ``` |
| 1403 | /// The hook should not modify its argument, but it can optionally return a new gradient |
| 1404 | /// which will be used in place of `grad`. |
| 1405 | /// |
| 1406 | /// This function returns the index of the hook in the list which can be used to remove hook. |
| 1407 | /// |
| 1408 | /// Example: |
| 1409 | /// @code |
| 1410 | /// auto v = torch::tensor({0., 0., 0.}, torch::requires_grad()); |
| 1411 | /// auto h = v.register_hook([](torch::Tensor grad){ return grad * 2; }); // double the gradient |
| 1412 | /// v.backward(torch::tensor({1., 2., 3.})); |
| 1413 | /// // This prints: |
| 1414 | /// // ``` |
| 1415 | /// // 2 |
| 1416 | /// // 4 |
| 1417 | /// // 6 |
| 1418 | /// // [ CPUFloatType{3} ] |
| 1419 | /// // ``` |
| 1420 | /// std::cout << v.grad() << std::endl; |
| 1421 | /// v.remove_hook(h); // removes the hook |
| 1422 | /// @endcode |
| 1423 | template <typename T> |
| 1424 | hook_return_void_t<T> register_hook(T&& hook) const; |
| 1425 | template <typename T> |
| 1426 | hook_return_var_t<T> register_hook(T&& hook) const; |
| 1427 | |
| 1428 | // Variable methods |
| 1429 | //~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ |
| 1430 | |
| 1431 | Tensor data() const { |
| 1432 | return TensorBase::data(); |
| 1433 | } |
| 1434 | |
| 1435 | void _backward(TensorList inputs, const c10::optional<Tensor>& gradient, c10::optional<bool> keep_graph, bool create_graph) const; |
| 1436 | |
| 1437 | const Tensor& requires_grad_(bool _requires_grad=true) const { |
| 1438 | TensorBase::requires_grad_(_requires_grad); |
| 1439 | return *this; |
| 1440 | } |
| 1441 | }; |
| 1442 | |
| 1443 | namespace detail { |
| 1444 | // Helper creator for Tensor class which doesn't requires the users to pass |
| 1445 | // in an intrusive_ptr instead it just converts the argument passed to |
| 1446 | // requested intrusive_ptr type. |
| 1447 | template <typename T, typename... Args> |
| 1448 | Tensor make_tensor(Args&&... args) { |
| 1449 | return Tensor(c10::make_intrusive<T>(std::forward<Args>(args)...)); |
| 1450 | } |
| 1451 | |
| 1452 | } // namespace detail |
| 1453 | |
| 1454 | } // namespace at |
| 1455 | |
| 1456 | |
| 1457 | namespace at { |
| 1458 | |
| 1459 | // aten::_backward(Tensor self, Tensor[] inputs, Tensor? gradient=None, bool? retain_graph=None, bool create_graph=False) -> () |
| 1460 | inline void Tensor::__dispatch__backward(at::TensorList inputs, const c10::optional<at::Tensor> & gradient, c10::optional<bool> retain_graph, bool create_graph) const { |
| 1461 | return at::_ops::_backward::call(const_cast<Tensor&>(*this), inputs, gradient, retain_graph, create_graph); |
| 1462 | } |
| 1463 | |
| 1464 | // aten::set_data(Tensor(a!) self, Tensor new_data) -> () |
| 1465 | inline void Tensor::__dispatch_set_data(const at::Tensor & new_data) const { |
| 1466 | return at::_ops::set_data::call(const_cast<Tensor&>(*this), new_data); |
| 1467 | } |
| 1468 | |
| 1469 | // aten::data(Tensor self) -> Tensor |
| 1470 | inline at::Tensor Tensor::__dispatch_data() const { |
| 1471 | return at::_ops::data::call(const_cast<Tensor&>(*this)); |
| 1472 | } |
| 1473 | |
| 1474 | // aten::is_leaf(Tensor self) -> bool |
| 1475 | inline bool Tensor::__dispatch_is_leaf() const { |
| 1476 | return at::_ops::is_leaf::call(const_cast<Tensor&>(*this)); |
| 1477 | } |
| 1478 | |
| 1479 | // aten::output_nr(Tensor self) -> int |
| 1480 | inline int64_t Tensor::__dispatch_output_nr() const { |
| 1481 | return at::_ops::output_nr::call(const_cast<Tensor&>(*this)); |
| 1482 | } |
| 1483 | |
| 1484 | // aten::_version(Tensor self) -> int |
| 1485 | inline int64_t Tensor::__dispatch__version() const { |
| 1486 | return at::_ops::_version::call(const_cast<Tensor&>(*this)); |
| 1487 | } |
| 1488 | |
| 1489 | // aten::requires_grad_(Tensor(a!) self, bool requires_grad=True) -> Tensor(a!) |
| 1490 | inline at::Tensor & Tensor::__dispatch_requires_grad_(bool requires_grad) const { |
| 1491 | return at::_ops::requires_grad_::call(const_cast<Tensor&>(*this), requires_grad); |
| 1492 | } |
| 1493 | |
| 1494 | // aten::retain_grad(Tensor(a!) self) -> () |
| 1495 | inline void Tensor::__dispatch_retain_grad() const { |
| 1496 | return at::_ops::retain_grad::call(const_cast<Tensor&>(*this)); |
| 1497 | } |
| 1498 | |
| 1499 | // aten::retains_grad(Tensor self) -> bool |
| 1500 | inline bool Tensor::__dispatch_retains_grad() const { |
| 1501 | return at::_ops::retains_grad::call(const_cast<Tensor&>(*this)); |
| 1502 | } |
| 1503 | |
| 1504 | // aten::_fw_primal(Tensor(a) self, int level) -> Tensor(a) |
| 1505 | inline at::Tensor Tensor::_fw_primal(int64_t level) const { |
| 1506 | return at::_ops::_fw_primal::call(const_cast<Tensor&>(*this), level); |
| 1507 | } |
| 1508 | |
| 1509 | // aten::rename_(Tensor(a!) self, Dimname[]? names) -> Tensor(a!) |
| 1510 | inline at::Tensor & Tensor::rename_(c10::optional<at::DimnameList> names) const { |
| 1511 | return at::_ops::rename_::call(const_cast<Tensor&>(*this), names); |
| 1512 | } |
| 1513 | |
| 1514 | // aten::rename(Tensor(a) self, Dimname[]? names) -> Tensor(a) |
| 1515 | inline at::Tensor Tensor::rename(c10::optional<at::DimnameList> names) const { |
| 1516 | return at::_ops::rename::call(const_cast<Tensor&>(*this), names); |
| 1517 | } |
| 1518 | |
| 1519 | // aten::align_to(Tensor(a) self, Dimname[] names) -> Tensor(a) |
| 1520 | inline at::Tensor Tensor::align_to(at::DimnameList names) const { |
| 1521 | return at::_ops::align_to::call(const_cast<Tensor&>(*this), names); |
| 1522 | } |
| 1523 | |
| 1524 | // aten::align_to.ellipsis_idx(Tensor(a) self, Dimname[] order, int ellipsis_idx) -> Tensor(a) |
| 1525 | inline at::Tensor Tensor::align_to(at::DimnameList order, int64_t ellipsis_idx) const { |
| 1526 | return at::_ops::align_to_ellipsis_idx::call(const_cast<Tensor&>(*this), order, ellipsis_idx); |
| 1527 | } |
| 1528 | |
| 1529 | // aten::align_as(Tensor self, Tensor other) -> Tensor |
| 1530 | inline at::Tensor Tensor::align_as(const at::Tensor & other) const { |
| 1531 | return at::_ops::align_as::call(const_cast<Tensor&>(*this), other); |
| 1532 | } |
| 1533 | |
| 1534 | // aten::refine_names(Tensor(a) self, Dimname[] names) -> Tensor(a) |
| 1535 | inline at::Tensor Tensor::refine_names(at::DimnameList names) const { |
| 1536 | return at::_ops::refine_names::call(const_cast<Tensor&>(*this), names); |
| 1537 | } |
| 1538 | |
| 1539 | // aten::abs(Tensor self) -> Tensor |
| 1540 | inline at::Tensor Tensor::abs() const { |
| 1541 | return at::_ops::abs::call(const_cast<Tensor&>(*this)); |
| 1542 | } |
| 1543 | |
| 1544 | // aten::abs_(Tensor(a!) self) -> Tensor(a!) |
| 1545 | inline at::Tensor & Tensor::abs_() const { |
| 1546 | return at::_ops::abs_::call(const_cast<Tensor&>(*this)); |
| 1547 | } |
| 1548 | |
| 1549 | // aten::absolute(Tensor self) -> Tensor |
| 1550 | inline at::Tensor Tensor::absolute() const { |
| 1551 | return at::_ops::absolute::call(const_cast<Tensor&>(*this)); |
| 1552 | } |
| 1553 | |
| 1554 | // aten::absolute_(Tensor(a!) self) -> Tensor(a!) |
| 1555 | inline at::Tensor & Tensor::absolute_() const { |
| 1556 | return at::_ops::absolute_::call(const_cast<Tensor&>(*this)); |
| 1557 | } |
| 1558 | |
| 1559 | // aten::angle(Tensor self) -> Tensor |
| 1560 | inline at::Tensor Tensor::angle() const { |
| 1561 | return at::_ops::angle::call(const_cast<Tensor&>(*this)); |
| 1562 | } |
| 1563 | |
| 1564 | // aten::sgn(Tensor self) -> Tensor |
| 1565 | inline at::Tensor Tensor::sgn() const { |
| 1566 | return at::_ops::sgn::call(const_cast<Tensor&>(*this)); |
| 1567 | } |
| 1568 | |
| 1569 | // aten::sgn_(Tensor(a!) self) -> Tensor(a!) |
| 1570 | inline at::Tensor & Tensor::sgn_() const { |
| 1571 | return at::_ops::sgn_::call(const_cast<Tensor&>(*this)); |
| 1572 | } |
| 1573 | |
| 1574 | // aten::chalf(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor |
| 1575 | inline at::Tensor Tensor::chalf(c10::optional<at::MemoryFormat> memory_format) const { |
| 1576 | return at::_ops::chalf::call(const_cast<Tensor&>(*this), memory_format); |
| 1577 | } |
| 1578 | |
| 1579 | // aten::_conj(Tensor(a) self) -> Tensor(a) |
| 1580 | inline at::Tensor Tensor::_conj() const { |
| 1581 | return at::_ops::_conj::call(const_cast<Tensor&>(*this)); |
| 1582 | } |
| 1583 | |
| 1584 | // aten::conj(Tensor(a) self) -> Tensor(a) |
| 1585 | inline at::Tensor Tensor::__dispatch_conj() const { |
| 1586 | return at::_ops::conj::call(const_cast<Tensor&>(*this)); |
| 1587 | } |
| 1588 | |
| 1589 | // aten::_conj_physical(Tensor self) -> Tensor |
| 1590 | inline at::Tensor Tensor::_conj_physical() const { |
| 1591 | return at::_ops::_conj_physical::call(const_cast<Tensor&>(*this)); |
| 1592 | } |
| 1593 | |
| 1594 | // aten::conj_physical(Tensor self) -> Tensor |
| 1595 | inline at::Tensor Tensor::conj_physical() const { |
| 1596 | return at::_ops::conj_physical::call(const_cast<Tensor&>(*this)); |
| 1597 | } |
| 1598 | |
| 1599 | // aten::conj_physical_(Tensor(a!) self) -> Tensor(a!) |
| 1600 | inline at::Tensor & Tensor::conj_physical_() const { |
| 1601 | return at::_ops::conj_physical_::call(const_cast<Tensor&>(*this)); |
| 1602 | } |
| 1603 | |
| 1604 | // aten::resolve_conj(Tensor(a) self) -> Tensor(a) |
| 1605 | inline at::Tensor Tensor::resolve_conj() const { |
| 1606 | return at::_ops::resolve_conj::call(const_cast<Tensor&>(*this)); |
| 1607 | } |
| 1608 | |
| 1609 | // aten::resolve_neg(Tensor(a) self) -> Tensor(a) |
| 1610 | inline at::Tensor Tensor::resolve_neg() const { |
| 1611 | return at::_ops::resolve_neg::call(const_cast<Tensor&>(*this)); |
| 1612 | } |
| 1613 | |
| 1614 | // aten::_neg_view(Tensor(a) self) -> Tensor(a) |
| 1615 | inline at::Tensor Tensor::_neg_view() const { |
| 1616 | return at::_ops::_neg_view::call(const_cast<Tensor&>(*this)); |
| 1617 | } |
| 1618 | |
| 1619 | // aten::acos(Tensor self) -> Tensor |
| 1620 | inline at::Tensor Tensor::acos() const { |
| 1621 | return at::_ops::acos::call(const_cast<Tensor&>(*this)); |
| 1622 | } |
| 1623 | |
| 1624 | // aten::acos_(Tensor(a!) self) -> Tensor(a!) |
| 1625 | inline at::Tensor & Tensor::acos_() const { |
| 1626 | return at::_ops::acos_::call(const_cast<Tensor&>(*this)); |
| 1627 | } |
| 1628 | |
| 1629 | // aten::arccos(Tensor self) -> Tensor |
| 1630 | inline at::Tensor Tensor::arccos() const { |
| 1631 | return at::_ops::arccos::call(const_cast<Tensor&>(*this)); |
| 1632 | } |
| 1633 | |
| 1634 | // aten::arccos_(Tensor(a!) self) -> Tensor(a!) |
| 1635 | inline at::Tensor & Tensor::arccos_() const { |
| 1636 | return at::_ops::arccos_::call(const_cast<Tensor&>(*this)); |
| 1637 | } |
| 1638 | |
| 1639 | // aten::add.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 1640 | inline at::Tensor Tensor::add(const at::Tensor & other, const at::Scalar & alpha) const { |
| 1641 | return at::_ops::add_Tensor::call(const_cast<Tensor&>(*this), other, alpha); |
| 1642 | } |
| 1643 | |
| 1644 | // aten::add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) |
| 1645 | inline at::Tensor & Tensor::add_(const at::Tensor & other, const at::Scalar & alpha) const { |
| 1646 | return at::_ops::add__Tensor::call(const_cast<Tensor&>(*this), other, alpha); |
| 1647 | } |
| 1648 | |
| 1649 | // aten::add.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 1650 | inline at::Tensor Tensor::add(const at::Scalar & other, const at::Scalar & alpha) const { |
| 1651 | return at::_ops::add_Scalar::call(const_cast<Tensor&>(*this), other, alpha); |
| 1652 | } |
| 1653 | |
| 1654 | // aten::add_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!) |
| 1655 | inline at::Tensor & Tensor::add_(const at::Scalar & other, const at::Scalar & alpha) const { |
| 1656 | return at::_ops::add__Scalar::call(const_cast<Tensor&>(*this), other, alpha); |
| 1657 | } |
| 1658 | |
| 1659 | // aten::addmv(Tensor self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 1660 | inline at::Tensor Tensor::addmv(const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 1661 | return at::_ops::addmv::call(const_cast<Tensor&>(*this), mat, vec, beta, alpha); |
| 1662 | } |
| 1663 | |
| 1664 | // aten::addmv_(Tensor(a!) self, Tensor mat, Tensor vec, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 1665 | inline at::Tensor & Tensor::addmv_(const at::Tensor & mat, const at::Tensor & vec, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 1666 | return at::_ops::addmv_::call(const_cast<Tensor&>(*this), mat, vec, beta, alpha); |
| 1667 | } |
| 1668 | |
| 1669 | // aten::addr(Tensor self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 1670 | inline at::Tensor Tensor::addr(const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 1671 | return at::_ops::addr::call(const_cast<Tensor&>(*this), vec1, vec2, beta, alpha); |
| 1672 | } |
| 1673 | |
| 1674 | // aten::addr_(Tensor(a!) self, Tensor vec1, Tensor vec2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 1675 | inline at::Tensor & Tensor::addr_(const at::Tensor & vec1, const at::Tensor & vec2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 1676 | return at::_ops::addr_::call(const_cast<Tensor&>(*this), vec1, vec2, beta, alpha); |
| 1677 | } |
| 1678 | |
| 1679 | // aten::_is_all_true(Tensor self) -> Tensor |
| 1680 | inline at::Tensor Tensor::_is_all_true() const { |
| 1681 | return at::_ops::_is_all_true::call(const_cast<Tensor&>(*this)); |
| 1682 | } |
| 1683 | |
| 1684 | // aten::_is_any_true(Tensor self) -> Tensor |
| 1685 | inline at::Tensor Tensor::_is_any_true() const { |
| 1686 | return at::_ops::_is_any_true::call(const_cast<Tensor&>(*this)); |
| 1687 | } |
| 1688 | |
| 1689 | // aten::all.dim(Tensor self, int dim, bool keepdim=False) -> Tensor |
| 1690 | inline at::Tensor Tensor::all(int64_t dim, bool keepdim) const { |
| 1691 | return at::_ops::all_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 1692 | } |
| 1693 | |
| 1694 | // aten::all.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor |
| 1695 | inline at::Tensor Tensor::all(at::Dimname dim, bool keepdim) const { |
| 1696 | return at::_ops::all_dimname::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 1697 | } |
| 1698 | |
| 1699 | // aten::allclose(Tensor self, Tensor other, float rtol=1e-05, float atol=1e-08, bool equal_nan=False) -> bool |
| 1700 | inline bool Tensor::allclose(const at::Tensor & other, double rtol, double atol, bool equal_nan) const { |
| 1701 | return at::_ops::allclose::call(const_cast<Tensor&>(*this), other, rtol, atol, equal_nan); |
| 1702 | } |
| 1703 | |
| 1704 | // aten::any.dim(Tensor self, int dim, bool keepdim=False) -> Tensor |
| 1705 | inline at::Tensor Tensor::any(int64_t dim, bool keepdim) const { |
| 1706 | return at::_ops::any_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 1707 | } |
| 1708 | |
| 1709 | // aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor |
| 1710 | inline at::Tensor Tensor::any(at::Dimname dim, bool keepdim) const { |
| 1711 | return at::_ops::any_dimname::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 1712 | } |
| 1713 | |
| 1714 | // aten::argmax(Tensor self, int? dim=None, bool keepdim=False) -> Tensor |
| 1715 | inline at::Tensor Tensor::argmax(c10::optional<int64_t> dim, bool keepdim) const { |
| 1716 | return at::_ops::argmax::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 1717 | } |
| 1718 | |
| 1719 | // aten::argmin(Tensor self, int? dim=None, bool keepdim=False) -> Tensor |
| 1720 | inline at::Tensor Tensor::argmin(c10::optional<int64_t> dim, bool keepdim) const { |
| 1721 | return at::_ops::argmin::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 1722 | } |
| 1723 | |
| 1724 | // aten::acosh(Tensor self) -> Tensor |
| 1725 | inline at::Tensor Tensor::acosh() const { |
| 1726 | return at::_ops::acosh::call(const_cast<Tensor&>(*this)); |
| 1727 | } |
| 1728 | |
| 1729 | // aten::acosh_(Tensor(a!) self) -> Tensor(a!) |
| 1730 | inline at::Tensor & Tensor::acosh_() const { |
| 1731 | return at::_ops::acosh_::call(const_cast<Tensor&>(*this)); |
| 1732 | } |
| 1733 | |
| 1734 | // aten::arccosh(Tensor self) -> Tensor |
| 1735 | inline at::Tensor Tensor::arccosh() const { |
| 1736 | return at::_ops::arccosh::call(const_cast<Tensor&>(*this)); |
| 1737 | } |
| 1738 | |
| 1739 | // aten::arccosh_(Tensor(a!) self) -> Tensor(a!) |
| 1740 | inline at::Tensor & Tensor::arccosh_() const { |
| 1741 | return at::_ops::arccosh_::call(const_cast<Tensor&>(*this)); |
| 1742 | } |
| 1743 | |
| 1744 | // aten::asinh(Tensor self) -> Tensor |
| 1745 | inline at::Tensor Tensor::asinh() const { |
| 1746 | return at::_ops::asinh::call(const_cast<Tensor&>(*this)); |
| 1747 | } |
| 1748 | |
| 1749 | // aten::asinh_(Tensor(a!) self) -> Tensor(a!) |
| 1750 | inline at::Tensor & Tensor::asinh_() const { |
| 1751 | return at::_ops::asinh_::call(const_cast<Tensor&>(*this)); |
| 1752 | } |
| 1753 | |
| 1754 | // aten::arcsinh(Tensor self) -> Tensor |
| 1755 | inline at::Tensor Tensor::arcsinh() const { |
| 1756 | return at::_ops::arcsinh::call(const_cast<Tensor&>(*this)); |
| 1757 | } |
| 1758 | |
| 1759 | // aten::arcsinh_(Tensor(a!) self) -> Tensor(a!) |
| 1760 | inline at::Tensor & Tensor::arcsinh_() const { |
| 1761 | return at::_ops::arcsinh_::call(const_cast<Tensor&>(*this)); |
| 1762 | } |
| 1763 | |
| 1764 | // aten::atanh(Tensor self) -> Tensor |
| 1765 | inline at::Tensor Tensor::atanh() const { |
| 1766 | return at::_ops::atanh::call(const_cast<Tensor&>(*this)); |
| 1767 | } |
| 1768 | |
| 1769 | // aten::atanh_(Tensor(a!) self) -> Tensor(a!) |
| 1770 | inline at::Tensor & Tensor::atanh_() const { |
| 1771 | return at::_ops::atanh_::call(const_cast<Tensor&>(*this)); |
| 1772 | } |
| 1773 | |
| 1774 | // aten::arctanh(Tensor self) -> Tensor |
| 1775 | inline at::Tensor Tensor::arctanh() const { |
| 1776 | return at::_ops::arctanh::call(const_cast<Tensor&>(*this)); |
| 1777 | } |
| 1778 | |
| 1779 | // aten::arctanh_(Tensor(a!) self) -> Tensor(a!) |
| 1780 | inline at::Tensor & Tensor::arctanh_() const { |
| 1781 | return at::_ops::arctanh_::call(const_cast<Tensor&>(*this)); |
| 1782 | } |
| 1783 | |
| 1784 | // aten::as_strided(Tensor(a) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a) |
| 1785 | inline at::Tensor Tensor::as_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset) const { |
| 1786 | return at::_ops::as_strided::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt); |
| 1787 | } |
| 1788 | |
| 1789 | // aten::as_strided(Tensor(a) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a) |
| 1790 | inline at::Tensor Tensor::as_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset) const { |
| 1791 | return at::_ops::as_strided::call(const_cast<Tensor&>(*this), size, stride, storage_offset); |
| 1792 | } |
| 1793 | |
| 1794 | // aten::as_strided_(Tensor(a!) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a!) |
| 1795 | inline const at::Tensor & Tensor::as_strided_(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset) const { |
| 1796 | return at::_ops::as_strided_::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt); |
| 1797 | } |
| 1798 | |
| 1799 | // aten::as_strided_(Tensor(a!) self, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor(a!) |
| 1800 | inline const at::Tensor & Tensor::as_strided__symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset) const { |
| 1801 | return at::_ops::as_strided_::call(const_cast<Tensor&>(*this), size, stride, storage_offset); |
| 1802 | } |
| 1803 | |
| 1804 | // aten::asin(Tensor self) -> Tensor |
| 1805 | inline at::Tensor Tensor::asin() const { |
| 1806 | return at::_ops::asin::call(const_cast<Tensor&>(*this)); |
| 1807 | } |
| 1808 | |
| 1809 | // aten::asin_(Tensor(a!) self) -> Tensor(a!) |
| 1810 | inline at::Tensor & Tensor::asin_() const { |
| 1811 | return at::_ops::asin_::call(const_cast<Tensor&>(*this)); |
| 1812 | } |
| 1813 | |
| 1814 | // aten::arcsin(Tensor self) -> Tensor |
| 1815 | inline at::Tensor Tensor::arcsin() const { |
| 1816 | return at::_ops::arcsin::call(const_cast<Tensor&>(*this)); |
| 1817 | } |
| 1818 | |
| 1819 | // aten::arcsin_(Tensor(a!) self) -> Tensor(a!) |
| 1820 | inline at::Tensor & Tensor::arcsin_() const { |
| 1821 | return at::_ops::arcsin_::call(const_cast<Tensor&>(*this)); |
| 1822 | } |
| 1823 | |
| 1824 | // aten::atan(Tensor self) -> Tensor |
| 1825 | inline at::Tensor Tensor::atan() const { |
| 1826 | return at::_ops::atan::call(const_cast<Tensor&>(*this)); |
| 1827 | } |
| 1828 | |
| 1829 | // aten::atan_(Tensor(a!) self) -> Tensor(a!) |
| 1830 | inline at::Tensor & Tensor::atan_() const { |
| 1831 | return at::_ops::atan_::call(const_cast<Tensor&>(*this)); |
| 1832 | } |
| 1833 | |
| 1834 | // aten::arctan(Tensor self) -> Tensor |
| 1835 | inline at::Tensor Tensor::arctan() const { |
| 1836 | return at::_ops::arctan::call(const_cast<Tensor&>(*this)); |
| 1837 | } |
| 1838 | |
| 1839 | // aten::arctan_(Tensor(a!) self) -> Tensor(a!) |
| 1840 | inline at::Tensor & Tensor::arctan_() const { |
| 1841 | return at::_ops::arctan_::call(const_cast<Tensor&>(*this)); |
| 1842 | } |
| 1843 | |
| 1844 | // aten::baddbmm(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 1845 | inline at::Tensor Tensor::baddbmm(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 1846 | return at::_ops::baddbmm::call(const_cast<Tensor&>(*this), batch1, batch2, beta, alpha); |
| 1847 | } |
| 1848 | |
| 1849 | // aten::baddbmm_(Tensor(a!) self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 1850 | inline at::Tensor & Tensor::baddbmm_(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 1851 | return at::_ops::baddbmm_::call(const_cast<Tensor&>(*this), batch1, batch2, beta, alpha); |
| 1852 | } |
| 1853 | |
| 1854 | // aten::bernoulli(Tensor self, *, Generator? generator=None) -> Tensor |
| 1855 | inline at::Tensor Tensor::bernoulli(c10::optional<at::Generator> generator) const { |
| 1856 | return at::_ops::bernoulli::call(const_cast<Tensor&>(*this), generator); |
| 1857 | } |
| 1858 | |
| 1859 | // aten::bernoulli_.Tensor(Tensor(a!) self, Tensor p, *, Generator? generator=None) -> Tensor(a!) |
| 1860 | inline at::Tensor & Tensor::bernoulli_(const at::Tensor & p, c10::optional<at::Generator> generator) const { |
| 1861 | return at::_ops::bernoulli__Tensor::call(const_cast<Tensor&>(*this), p, generator); |
| 1862 | } |
| 1863 | |
| 1864 | // aten::bernoulli_.float(Tensor(a!) self, float p=0.5, *, Generator? generator=None) -> Tensor(a!) |
| 1865 | inline at::Tensor & Tensor::bernoulli_(double p, c10::optional<at::Generator> generator) const { |
| 1866 | return at::_ops::bernoulli__float::call(const_cast<Tensor&>(*this), p, generator); |
| 1867 | } |
| 1868 | |
| 1869 | // aten::bernoulli.p(Tensor self, float p, *, Generator? generator=None) -> Tensor |
| 1870 | inline at::Tensor Tensor::bernoulli(double p, c10::optional<at::Generator> generator) const { |
| 1871 | return at::_ops::bernoulli_p::call(const_cast<Tensor&>(*this), p, generator); |
| 1872 | } |
| 1873 | |
| 1874 | // aten::bincount(Tensor self, Tensor? weights=None, int minlength=0) -> Tensor |
| 1875 | inline at::Tensor Tensor::bincount(const c10::optional<at::Tensor> & weights, int64_t minlength) const { |
| 1876 | return at::_ops::bincount::call(const_cast<Tensor&>(*this), weights, minlength); |
| 1877 | } |
| 1878 | |
| 1879 | // aten::bitwise_not(Tensor self) -> Tensor |
| 1880 | inline at::Tensor Tensor::bitwise_not() const { |
| 1881 | return at::_ops::bitwise_not::call(const_cast<Tensor&>(*this)); |
| 1882 | } |
| 1883 | |
| 1884 | // aten::bitwise_not_(Tensor(a!) self) -> Tensor(a!) |
| 1885 | inline at::Tensor & Tensor::bitwise_not_() const { |
| 1886 | return at::_ops::bitwise_not_::call(const_cast<Tensor&>(*this)); |
| 1887 | } |
| 1888 | |
| 1889 | // aten::copysign.Tensor(Tensor self, Tensor other) -> Tensor |
| 1890 | inline at::Tensor Tensor::copysign(const at::Tensor & other) const { |
| 1891 | return at::_ops::copysign_Tensor::call(const_cast<Tensor&>(*this), other); |
| 1892 | } |
| 1893 | |
| 1894 | // aten::copysign_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1895 | inline at::Tensor & Tensor::copysign_(const at::Tensor & other) const { |
| 1896 | return at::_ops::copysign__Tensor::call(const_cast<Tensor&>(*this), other); |
| 1897 | } |
| 1898 | |
| 1899 | // aten::copysign.Scalar(Tensor self, Scalar other) -> Tensor |
| 1900 | inline at::Tensor Tensor::copysign(const at::Scalar & other) const { |
| 1901 | return at::_ops::copysign_Scalar::call(const_cast<Tensor&>(*this), other); |
| 1902 | } |
| 1903 | |
| 1904 | // aten::copysign_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 1905 | inline at::Tensor & Tensor::copysign_(const at::Scalar & other) const { |
| 1906 | return at::_ops::copysign__Scalar::call(const_cast<Tensor&>(*this), other); |
| 1907 | } |
| 1908 | |
| 1909 | // aten::logical_not(Tensor self) -> Tensor |
| 1910 | inline at::Tensor Tensor::logical_not() const { |
| 1911 | return at::_ops::logical_not::call(const_cast<Tensor&>(*this)); |
| 1912 | } |
| 1913 | |
| 1914 | // aten::logical_not_(Tensor(a!) self) -> Tensor(a!) |
| 1915 | inline at::Tensor & Tensor::logical_not_() const { |
| 1916 | return at::_ops::logical_not_::call(const_cast<Tensor&>(*this)); |
| 1917 | } |
| 1918 | |
| 1919 | // aten::logical_xor(Tensor self, Tensor other) -> Tensor |
| 1920 | inline at::Tensor Tensor::logical_xor(const at::Tensor & other) const { |
| 1921 | return at::_ops::logical_xor::call(const_cast<Tensor&>(*this), other); |
| 1922 | } |
| 1923 | |
| 1924 | // aten::logical_xor_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1925 | inline at::Tensor & Tensor::logical_xor_(const at::Tensor & other) const { |
| 1926 | return at::_ops::logical_xor_::call(const_cast<Tensor&>(*this), other); |
| 1927 | } |
| 1928 | |
| 1929 | // aten::logical_and(Tensor self, Tensor other) -> Tensor |
| 1930 | inline at::Tensor Tensor::logical_and(const at::Tensor & other) const { |
| 1931 | return at::_ops::logical_and::call(const_cast<Tensor&>(*this), other); |
| 1932 | } |
| 1933 | |
| 1934 | // aten::logical_and_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1935 | inline at::Tensor & Tensor::logical_and_(const at::Tensor & other) const { |
| 1936 | return at::_ops::logical_and_::call(const_cast<Tensor&>(*this), other); |
| 1937 | } |
| 1938 | |
| 1939 | // aten::logical_or(Tensor self, Tensor other) -> Tensor |
| 1940 | inline at::Tensor Tensor::logical_or(const at::Tensor & other) const { |
| 1941 | return at::_ops::logical_or::call(const_cast<Tensor&>(*this), other); |
| 1942 | } |
| 1943 | |
| 1944 | // aten::logical_or_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 1945 | inline at::Tensor & Tensor::logical_or_(const at::Tensor & other) const { |
| 1946 | return at::_ops::logical_or_::call(const_cast<Tensor&>(*this), other); |
| 1947 | } |
| 1948 | |
| 1949 | // aten::bmm(Tensor self, Tensor mat2) -> Tensor |
| 1950 | inline at::Tensor Tensor::bmm(const at::Tensor & mat2) const { |
| 1951 | return at::_ops::bmm::call(const_cast<Tensor&>(*this), mat2); |
| 1952 | } |
| 1953 | |
| 1954 | // aten::broadcast_to(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 1955 | inline at::Tensor Tensor::broadcast_to(at::IntArrayRef size) const { |
| 1956 | return at::_ops::broadcast_to::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size)); |
| 1957 | } |
| 1958 | |
| 1959 | // aten::broadcast_to(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 1960 | inline at::Tensor Tensor::broadcast_to_symint(c10::SymIntArrayRef size) const { |
| 1961 | return at::_ops::broadcast_to::call(const_cast<Tensor&>(*this), size); |
| 1962 | } |
| 1963 | |
| 1964 | // aten::ceil(Tensor self) -> Tensor |
| 1965 | inline at::Tensor Tensor::ceil() const { |
| 1966 | return at::_ops::ceil::call(const_cast<Tensor&>(*this)); |
| 1967 | } |
| 1968 | |
| 1969 | // aten::ceil_(Tensor(a!) self) -> Tensor(a!) |
| 1970 | inline at::Tensor & Tensor::ceil_() const { |
| 1971 | return at::_ops::ceil_::call(const_cast<Tensor&>(*this)); |
| 1972 | } |
| 1973 | |
| 1974 | // aten::unsafe_chunk(Tensor self, int chunks, int dim=0) -> Tensor[] |
| 1975 | inline ::std::vector<at::Tensor> Tensor::unsafe_chunk(int64_t chunks, int64_t dim) const { |
| 1976 | return at::_ops::unsafe_chunk::call(const_cast<Tensor&>(*this), chunks, dim); |
| 1977 | } |
| 1978 | |
| 1979 | // aten::chunk(Tensor(a -> *) self, int chunks, int dim=0) -> Tensor(a)[] |
| 1980 | inline ::std::vector<at::Tensor> Tensor::chunk(int64_t chunks, int64_t dim) const { |
| 1981 | return at::_ops::chunk::call(const_cast<Tensor&>(*this), chunks, dim); |
| 1982 | } |
| 1983 | |
| 1984 | // aten::tensor_split.sections(Tensor(a -> *) self, SymInt sections, int dim=0) -> Tensor(a)[] |
| 1985 | inline ::std::vector<at::Tensor> Tensor::tensor_split(int64_t sections, int64_t dim) const { |
| 1986 | return at::_ops::tensor_split_sections::call(const_cast<Tensor&>(*this), sections, dim); |
| 1987 | } |
| 1988 | |
| 1989 | // aten::tensor_split.sections(Tensor(a -> *) self, SymInt sections, int dim=0) -> Tensor(a)[] |
| 1990 | inline ::std::vector<at::Tensor> Tensor::tensor_split_symint(c10::SymInt sections, int64_t dim) const { |
| 1991 | return at::_ops::tensor_split_sections::call(const_cast<Tensor&>(*this), sections, dim); |
| 1992 | } |
| 1993 | |
| 1994 | // aten::tensor_split.indices(Tensor(a -> *) self, SymInt[] indices, int dim=0) -> Tensor(a)[] |
| 1995 | inline ::std::vector<at::Tensor> Tensor::tensor_split(at::IntArrayRef indices, int64_t dim) const { |
| 1996 | return at::_ops::tensor_split_indices::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(indices), dim); |
| 1997 | } |
| 1998 | |
| 1999 | // aten::tensor_split.indices(Tensor(a -> *) self, SymInt[] indices, int dim=0) -> Tensor(a)[] |
| 2000 | inline ::std::vector<at::Tensor> Tensor::tensor_split_symint(c10::SymIntArrayRef indices, int64_t dim) const { |
| 2001 | return at::_ops::tensor_split_indices::call(const_cast<Tensor&>(*this), indices, dim); |
| 2002 | } |
| 2003 | |
| 2004 | // aten::tensor_split.tensor_indices_or_sections(Tensor(a -> *) self, Tensor tensor_indices_or_sections, int dim=0) -> Tensor(a)[] |
| 2005 | inline ::std::vector<at::Tensor> Tensor::tensor_split(const at::Tensor & tensor_indices_or_sections, int64_t dim) const { |
| 2006 | return at::_ops::tensor_split_tensor_indices_or_sections::call(const_cast<Tensor&>(*this), tensor_indices_or_sections, dim); |
| 2007 | } |
| 2008 | |
| 2009 | // aten::clamp(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor |
| 2010 | inline at::Tensor Tensor::clamp(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) const { |
| 2011 | return at::_ops::clamp::call(const_cast<Tensor&>(*this), min, max); |
| 2012 | } |
| 2013 | |
| 2014 | // aten::clamp.Tensor(Tensor self, Tensor? min=None, Tensor? max=None) -> Tensor |
| 2015 | inline at::Tensor Tensor::clamp(const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) const { |
| 2016 | return at::_ops::clamp_Tensor::call(const_cast<Tensor&>(*this), min, max); |
| 2017 | } |
| 2018 | |
| 2019 | // aten::clamp_(Tensor(a!) self, Scalar? min=None, Scalar? max=None) -> Tensor(a!) |
| 2020 | inline at::Tensor & Tensor::clamp_(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) const { |
| 2021 | return at::_ops::clamp_::call(const_cast<Tensor&>(*this), min, max); |
| 2022 | } |
| 2023 | |
| 2024 | // aten::clamp_.Tensor(Tensor(a!) self, Tensor? min=None, Tensor? max=None) -> Tensor(a!) |
| 2025 | inline at::Tensor & Tensor::clamp_(const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) const { |
| 2026 | return at::_ops::clamp__Tensor::call(const_cast<Tensor&>(*this), min, max); |
| 2027 | } |
| 2028 | |
| 2029 | // aten::clamp_max(Tensor self, Scalar max) -> Tensor |
| 2030 | inline at::Tensor Tensor::clamp_max(const at::Scalar & max) const { |
| 2031 | return at::_ops::clamp_max::call(const_cast<Tensor&>(*this), max); |
| 2032 | } |
| 2033 | |
| 2034 | // aten::clamp_max.Tensor(Tensor self, Tensor max) -> Tensor |
| 2035 | inline at::Tensor Tensor::clamp_max(const at::Tensor & max) const { |
| 2036 | return at::_ops::clamp_max_Tensor::call(const_cast<Tensor&>(*this), max); |
| 2037 | } |
| 2038 | |
| 2039 | // aten::clamp_max_(Tensor(a!) self, Scalar max) -> Tensor(a!) |
| 2040 | inline at::Tensor & Tensor::clamp_max_(const at::Scalar & max) const { |
| 2041 | return at::_ops::clamp_max_::call(const_cast<Tensor&>(*this), max); |
| 2042 | } |
| 2043 | |
| 2044 | // aten::clamp_max_.Tensor(Tensor(a!) self, Tensor max) -> Tensor(a!) |
| 2045 | inline at::Tensor & Tensor::clamp_max_(const at::Tensor & max) const { |
| 2046 | return at::_ops::clamp_max__Tensor::call(const_cast<Tensor&>(*this), max); |
| 2047 | } |
| 2048 | |
| 2049 | // aten::clamp_min(Tensor self, Scalar min) -> Tensor |
| 2050 | inline at::Tensor Tensor::clamp_min(const at::Scalar & min) const { |
| 2051 | return at::_ops::clamp_min::call(const_cast<Tensor&>(*this), min); |
| 2052 | } |
| 2053 | |
| 2054 | // aten::clamp_min.Tensor(Tensor self, Tensor min) -> Tensor |
| 2055 | inline at::Tensor Tensor::clamp_min(const at::Tensor & min) const { |
| 2056 | return at::_ops::clamp_min_Tensor::call(const_cast<Tensor&>(*this), min); |
| 2057 | } |
| 2058 | |
| 2059 | // aten::clamp_min_(Tensor(a!) self, Scalar min) -> Tensor(a!) |
| 2060 | inline at::Tensor & Tensor::clamp_min_(const at::Scalar & min) const { |
| 2061 | return at::_ops::clamp_min_::call(const_cast<Tensor&>(*this), min); |
| 2062 | } |
| 2063 | |
| 2064 | // aten::clamp_min_.Tensor(Tensor(a!) self, Tensor min) -> Tensor(a!) |
| 2065 | inline at::Tensor & Tensor::clamp_min_(const at::Tensor & min) const { |
| 2066 | return at::_ops::clamp_min__Tensor::call(const_cast<Tensor&>(*this), min); |
| 2067 | } |
| 2068 | |
| 2069 | // aten::clip(Tensor self, Scalar? min=None, Scalar? max=None) -> Tensor |
| 2070 | inline at::Tensor Tensor::clip(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) const { |
| 2071 | return at::_ops::clip::call(const_cast<Tensor&>(*this), min, max); |
| 2072 | } |
| 2073 | |
| 2074 | // aten::clip.Tensor(Tensor self, Tensor? min=None, Tensor? max=None) -> Tensor |
| 2075 | inline at::Tensor Tensor::clip(const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) const { |
| 2076 | return at::_ops::clip_Tensor::call(const_cast<Tensor&>(*this), min, max); |
| 2077 | } |
| 2078 | |
| 2079 | // aten::clip_(Tensor(a!) self, Scalar? min=None, Scalar? max=None) -> Tensor(a!) |
| 2080 | inline at::Tensor & Tensor::clip_(const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max) const { |
| 2081 | return at::_ops::clip_::call(const_cast<Tensor&>(*this), min, max); |
| 2082 | } |
| 2083 | |
| 2084 | // aten::clip_.Tensor(Tensor(a!) self, Tensor? min=None, Tensor? max=None) -> Tensor(a!) |
| 2085 | inline at::Tensor & Tensor::clip_(const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max) const { |
| 2086 | return at::_ops::clip__Tensor::call(const_cast<Tensor&>(*this), min, max); |
| 2087 | } |
| 2088 | |
| 2089 | // aten::contiguous(Tensor(a) self, *, MemoryFormat memory_format=contiguous_format) -> Tensor(a) |
| 2090 | inline at::Tensor Tensor::__dispatch_contiguous(at::MemoryFormat memory_format) const { |
| 2091 | return at::_ops::contiguous::call(const_cast<Tensor&>(*this), memory_format); |
| 2092 | } |
| 2093 | |
| 2094 | // aten::copy_(Tensor(a!) self, Tensor src, bool non_blocking=False) -> Tensor(a!) |
| 2095 | inline at::Tensor & Tensor::copy_(const at::Tensor & src, bool non_blocking) const { |
| 2096 | return at::_ops::copy_::call(const_cast<Tensor&>(*this), src, non_blocking); |
| 2097 | } |
| 2098 | |
| 2099 | // aten::cos(Tensor self) -> Tensor |
| 2100 | inline at::Tensor Tensor::cos() const { |
| 2101 | return at::_ops::cos::call(const_cast<Tensor&>(*this)); |
| 2102 | } |
| 2103 | |
| 2104 | // aten::cos_(Tensor(a!) self) -> Tensor(a!) |
| 2105 | inline at::Tensor & Tensor::cos_() const { |
| 2106 | return at::_ops::cos_::call(const_cast<Tensor&>(*this)); |
| 2107 | } |
| 2108 | |
| 2109 | // aten::cosh(Tensor self) -> Tensor |
| 2110 | inline at::Tensor Tensor::cosh() const { |
| 2111 | return at::_ops::cosh::call(const_cast<Tensor&>(*this)); |
| 2112 | } |
| 2113 | |
| 2114 | // aten::cosh_(Tensor(a!) self) -> Tensor(a!) |
| 2115 | inline at::Tensor & Tensor::cosh_() const { |
| 2116 | return at::_ops::cosh_::call(const_cast<Tensor&>(*this)); |
| 2117 | } |
| 2118 | |
| 2119 | // aten::count_nonzero.dim_IntList(Tensor self, int[] dim) -> Tensor |
| 2120 | inline at::Tensor Tensor::count_nonzero(at::IntArrayRef dim) const { |
| 2121 | return at::_ops::count_nonzero_dim_IntList::call(const_cast<Tensor&>(*this), dim); |
| 2122 | } |
| 2123 | |
| 2124 | // aten::count_nonzero(Tensor self, int? dim=None) -> Tensor |
| 2125 | inline at::Tensor Tensor::count_nonzero(c10::optional<int64_t> dim) const { |
| 2126 | return at::_ops::count_nonzero::call(const_cast<Tensor&>(*this), dim); |
| 2127 | } |
| 2128 | |
| 2129 | // aten::cov(Tensor self, *, int correction=1, Tensor? fweights=None, Tensor? aweights=None) -> Tensor |
| 2130 | inline at::Tensor Tensor::cov(int64_t correction, const c10::optional<at::Tensor> & fweights, const c10::optional<at::Tensor> & aweights) const { |
| 2131 | return at::_ops::cov::call(const_cast<Tensor&>(*this), correction, fweights, aweights); |
| 2132 | } |
| 2133 | |
| 2134 | // aten::corrcoef(Tensor self) -> Tensor |
| 2135 | inline at::Tensor Tensor::corrcoef() const { |
| 2136 | return at::_ops::corrcoef::call(const_cast<Tensor&>(*this)); |
| 2137 | } |
| 2138 | |
| 2139 | // aten::cummax(Tensor self, int dim) -> (Tensor values, Tensor indices) |
| 2140 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::cummax(int64_t dim) const { |
| 2141 | return at::_ops::cummax::call(const_cast<Tensor&>(*this), dim); |
| 2142 | } |
| 2143 | |
| 2144 | // aten::cummax.dimname(Tensor self, Dimname dim) -> (Tensor values, Tensor indices) |
| 2145 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::cummax(at::Dimname dim) const { |
| 2146 | return at::_ops::cummax_dimname::call(const_cast<Tensor&>(*this), dim); |
| 2147 | } |
| 2148 | |
| 2149 | // aten::cummin(Tensor self, int dim) -> (Tensor values, Tensor indices) |
| 2150 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::cummin(int64_t dim) const { |
| 2151 | return at::_ops::cummin::call(const_cast<Tensor&>(*this), dim); |
| 2152 | } |
| 2153 | |
| 2154 | // aten::cummin.dimname(Tensor self, Dimname dim) -> (Tensor values, Tensor indices) |
| 2155 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::cummin(at::Dimname dim) const { |
| 2156 | return at::_ops::cummin_dimname::call(const_cast<Tensor&>(*this), dim); |
| 2157 | } |
| 2158 | |
| 2159 | // aten::cumprod(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor |
| 2160 | inline at::Tensor Tensor::cumprod(int64_t dim, c10::optional<at::ScalarType> dtype) const { |
| 2161 | return at::_ops::cumprod::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2162 | } |
| 2163 | |
| 2164 | // aten::cumprod_(Tensor(a!) self, int dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2165 | inline at::Tensor & Tensor::cumprod_(int64_t dim, c10::optional<at::ScalarType> dtype) const { |
| 2166 | return at::_ops::cumprod_::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2167 | } |
| 2168 | |
| 2169 | // aten::cumprod.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 2170 | inline at::Tensor Tensor::cumprod(at::Dimname dim, c10::optional<at::ScalarType> dtype) const { |
| 2171 | return at::_ops::cumprod_dimname::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2172 | } |
| 2173 | |
| 2174 | // aten::cumprod_.dimname(Tensor(a!) self, Dimname dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2175 | inline at::Tensor & Tensor::cumprod_(at::Dimname dim, c10::optional<at::ScalarType> dtype) const { |
| 2176 | return at::_ops::cumprod__dimname::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2177 | } |
| 2178 | |
| 2179 | // aten::cumsum(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor |
| 2180 | inline at::Tensor Tensor::cumsum(int64_t dim, c10::optional<at::ScalarType> dtype) const { |
| 2181 | return at::_ops::cumsum::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2182 | } |
| 2183 | |
| 2184 | // aten::cumsum_(Tensor(a!) self, int dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2185 | inline at::Tensor & Tensor::cumsum_(int64_t dim, c10::optional<at::ScalarType> dtype) const { |
| 2186 | return at::_ops::cumsum_::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2187 | } |
| 2188 | |
| 2189 | // aten::cumsum.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 2190 | inline at::Tensor Tensor::cumsum(at::Dimname dim, c10::optional<at::ScalarType> dtype) const { |
| 2191 | return at::_ops::cumsum_dimname::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2192 | } |
| 2193 | |
| 2194 | // aten::cumsum_.dimname(Tensor(a!) self, Dimname dim, *, ScalarType? dtype=None) -> Tensor(a!) |
| 2195 | inline at::Tensor & Tensor::cumsum_(at::Dimname dim, c10::optional<at::ScalarType> dtype) const { |
| 2196 | return at::_ops::cumsum__dimname::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2197 | } |
| 2198 | |
| 2199 | // aten::diag_embed(Tensor self, int offset=0, int dim1=-2, int dim2=-1) -> Tensor |
| 2200 | inline at::Tensor Tensor::diag_embed(int64_t offset, int64_t dim1, int64_t dim2) const { |
| 2201 | return at::_ops::diag_embed::call(const_cast<Tensor&>(*this), offset, dim1, dim2); |
| 2202 | } |
| 2203 | |
| 2204 | // aten::diagflat(Tensor self, int offset=0) -> Tensor |
| 2205 | inline at::Tensor Tensor::diagflat(int64_t offset) const { |
| 2206 | return at::_ops::diagflat::call(const_cast<Tensor&>(*this), offset); |
| 2207 | } |
| 2208 | |
| 2209 | // aten::diagonal(Tensor(a) self, int offset=0, int dim1=0, int dim2=1) -> Tensor(a) |
| 2210 | inline at::Tensor Tensor::diagonal(int64_t offset, int64_t dim1, int64_t dim2) const { |
| 2211 | return at::_ops::diagonal::call(const_cast<Tensor&>(*this), offset, dim1, dim2); |
| 2212 | } |
| 2213 | |
| 2214 | // aten::diagonal.Dimname(Tensor(a) self, *, Dimname outdim, Dimname dim1, Dimname dim2, int offset=0) -> Tensor(a) |
| 2215 | inline at::Tensor Tensor::diagonal(at::Dimname outdim, at::Dimname dim1, at::Dimname dim2, int64_t offset) const { |
| 2216 | return at::_ops::diagonal_Dimname::call(const_cast<Tensor&>(*this), outdim, dim1, dim2, offset); |
| 2217 | } |
| 2218 | |
| 2219 | // aten::fill_diagonal_(Tensor(a!) self, Scalar fill_value, bool wrap=False) -> Tensor(a!) |
| 2220 | inline at::Tensor & Tensor::fill_diagonal_(const at::Scalar & fill_value, bool wrap) const { |
| 2221 | return at::_ops::fill_diagonal_::call(const_cast<Tensor&>(*this), fill_value, wrap); |
| 2222 | } |
| 2223 | |
| 2224 | // aten::diff(Tensor self, int n=1, int dim=-1, Tensor? prepend=None, Tensor? append=None) -> Tensor |
| 2225 | inline at::Tensor Tensor::diff(int64_t n, int64_t dim, const c10::optional<at::Tensor> & prepend, const c10::optional<at::Tensor> & append) const { |
| 2226 | return at::_ops::diff::call(const_cast<Tensor&>(*this), n, dim, prepend, append); |
| 2227 | } |
| 2228 | |
| 2229 | // aten::div.Tensor(Tensor self, Tensor other) -> Tensor |
| 2230 | inline at::Tensor Tensor::div(const at::Tensor & other) const { |
| 2231 | return at::_ops::div_Tensor::call(const_cast<Tensor&>(*this), other); |
| 2232 | } |
| 2233 | |
| 2234 | // aten::div_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2235 | inline at::Tensor & Tensor::div_(const at::Tensor & other) const { |
| 2236 | return at::_ops::div__Tensor::call(const_cast<Tensor&>(*this), other); |
| 2237 | } |
| 2238 | |
| 2239 | // aten::div.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> Tensor |
| 2240 | inline at::Tensor Tensor::div(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2241 | return at::_ops::div_Tensor_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2242 | } |
| 2243 | |
| 2244 | // aten::div_.Tensor_mode(Tensor(a!) self, Tensor other, *, str? rounding_mode) -> Tensor(a!) |
| 2245 | inline at::Tensor & Tensor::div_(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2246 | return at::_ops::div__Tensor_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2247 | } |
| 2248 | |
| 2249 | // aten::div.Scalar(Tensor self, Scalar other) -> Tensor |
| 2250 | inline at::Tensor Tensor::div(const at::Scalar & other) const { |
| 2251 | return at::_ops::div_Scalar::call(const_cast<Tensor&>(*this), other); |
| 2252 | } |
| 2253 | |
| 2254 | // aten::div_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2255 | inline at::Tensor & Tensor::div_(const at::Scalar & other) const { |
| 2256 | return at::_ops::div__Scalar::call(const_cast<Tensor&>(*this), other); |
| 2257 | } |
| 2258 | |
| 2259 | // aten::div.Scalar_mode(Tensor self, Scalar other, *, str? rounding_mode) -> Tensor |
| 2260 | inline at::Tensor Tensor::div(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2261 | return at::_ops::div_Scalar_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2262 | } |
| 2263 | |
| 2264 | // aten::div_.Scalar_mode(Tensor(a!) self, Scalar other, *, str? rounding_mode) -> Tensor(a!) |
| 2265 | inline at::Tensor & Tensor::div_(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2266 | return at::_ops::div__Scalar_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2267 | } |
| 2268 | |
| 2269 | // aten::divide.Tensor(Tensor self, Tensor other) -> Tensor |
| 2270 | inline at::Tensor Tensor::divide(const at::Tensor & other) const { |
| 2271 | return at::_ops::divide_Tensor::call(const_cast<Tensor&>(*this), other); |
| 2272 | } |
| 2273 | |
| 2274 | // aten::divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2275 | inline at::Tensor & Tensor::divide_(const at::Tensor & other) const { |
| 2276 | return at::_ops::divide__Tensor::call(const_cast<Tensor&>(*this), other); |
| 2277 | } |
| 2278 | |
| 2279 | // aten::divide.Scalar(Tensor self, Scalar other) -> Tensor |
| 2280 | inline at::Tensor Tensor::divide(const at::Scalar & other) const { |
| 2281 | return at::_ops::divide_Scalar::call(const_cast<Tensor&>(*this), other); |
| 2282 | } |
| 2283 | |
| 2284 | // aten::divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2285 | inline at::Tensor & Tensor::divide_(const at::Scalar & other) const { |
| 2286 | return at::_ops::divide__Scalar::call(const_cast<Tensor&>(*this), other); |
| 2287 | } |
| 2288 | |
| 2289 | // aten::divide.Tensor_mode(Tensor self, Tensor other, *, str? rounding_mode) -> Tensor |
| 2290 | inline at::Tensor Tensor::divide(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2291 | return at::_ops::divide_Tensor_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2292 | } |
| 2293 | |
| 2294 | // aten::divide_.Tensor_mode(Tensor(a!) self, Tensor other, *, str? rounding_mode) -> Tensor(a!) |
| 2295 | inline at::Tensor & Tensor::divide_(const at::Tensor & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2296 | return at::_ops::divide__Tensor_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2297 | } |
| 2298 | |
| 2299 | // aten::divide.Scalar_mode(Tensor self, Scalar other, *, str? rounding_mode) -> Tensor |
| 2300 | inline at::Tensor Tensor::divide(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2301 | return at::_ops::divide_Scalar_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2302 | } |
| 2303 | |
| 2304 | // aten::divide_.Scalar_mode(Tensor(a!) self, Scalar other, *, str? rounding_mode) -> Tensor(a!) |
| 2305 | inline at::Tensor & Tensor::divide_(const at::Scalar & other, c10::optional<c10::string_view> rounding_mode) const { |
| 2306 | return at::_ops::divide__Scalar_mode::call(const_cast<Tensor&>(*this), other, rounding_mode); |
| 2307 | } |
| 2308 | |
| 2309 | // aten::true_divide.Tensor(Tensor self, Tensor other) -> Tensor |
| 2310 | inline at::Tensor Tensor::true_divide(const at::Tensor & other) const { |
| 2311 | return at::_ops::true_divide_Tensor::call(const_cast<Tensor&>(*this), other); |
| 2312 | } |
| 2313 | |
| 2314 | // aten::true_divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2315 | inline at::Tensor & Tensor::true_divide_(const at::Tensor & other) const { |
| 2316 | return at::_ops::true_divide__Tensor::call(const_cast<Tensor&>(*this), other); |
| 2317 | } |
| 2318 | |
| 2319 | // aten::true_divide.Scalar(Tensor self, Scalar other) -> Tensor |
| 2320 | inline at::Tensor Tensor::true_divide(const at::Scalar & other) const { |
| 2321 | return at::_ops::true_divide_Scalar::call(const_cast<Tensor&>(*this), other); |
| 2322 | } |
| 2323 | |
| 2324 | // aten::true_divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2325 | inline at::Tensor & Tensor::true_divide_(const at::Scalar & other) const { |
| 2326 | return at::_ops::true_divide__Scalar::call(const_cast<Tensor&>(*this), other); |
| 2327 | } |
| 2328 | |
| 2329 | // aten::dot(Tensor self, Tensor tensor) -> Tensor |
| 2330 | inline at::Tensor Tensor::dot(const at::Tensor & tensor) const { |
| 2331 | return at::_ops::dot::call(const_cast<Tensor&>(*this), tensor); |
| 2332 | } |
| 2333 | |
| 2334 | // aten::vdot(Tensor self, Tensor other) -> Tensor |
| 2335 | inline at::Tensor Tensor::vdot(const at::Tensor & other) const { |
| 2336 | return at::_ops::vdot::call(const_cast<Tensor&>(*this), other); |
| 2337 | } |
| 2338 | |
| 2339 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2340 | inline at::Tensor Tensor::new_empty(at::IntArrayRef size, at::TensorOptions options) const { |
| 2341 | return at::_ops::new_empty::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2342 | } |
| 2343 | |
| 2344 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2345 | inline at::Tensor Tensor::new_empty(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2346 | return at::_ops::new_empty::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 2347 | } |
| 2348 | |
| 2349 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2350 | inline at::Tensor Tensor::new_empty_symint(c10::SymIntArrayRef size, at::TensorOptions options) const { |
| 2351 | return at::_ops::new_empty::call(const_cast<Tensor&>(*this), size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2352 | } |
| 2353 | |
| 2354 | // aten::new_empty(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2355 | inline at::Tensor Tensor::new_empty_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2356 | return at::_ops::new_empty::call(const_cast<Tensor&>(*this), size, dtype, layout, device, pin_memory); |
| 2357 | } |
| 2358 | |
| 2359 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2360 | inline at::Tensor Tensor::new_empty_strided(at::IntArrayRef size, at::IntArrayRef stride, at::TensorOptions options) const { |
| 2361 | return at::_ops::new_empty_strided::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2362 | } |
| 2363 | |
| 2364 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2365 | inline at::Tensor Tensor::new_empty_strided(at::IntArrayRef size, at::IntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2366 | return at::_ops::new_empty_strided::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), dtype, layout, device, pin_memory); |
| 2367 | } |
| 2368 | |
| 2369 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2370 | inline at::Tensor Tensor::new_empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, at::TensorOptions options) const { |
| 2371 | return at::_ops::new_empty_strided::call(const_cast<Tensor&>(*this), size, stride, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2372 | } |
| 2373 | |
| 2374 | // aten::new_empty_strided(Tensor self, SymInt[] size, SymInt[] stride, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2375 | inline at::Tensor Tensor::new_empty_strided_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2376 | return at::_ops::new_empty_strided::call(const_cast<Tensor&>(*this), size, stride, dtype, layout, device, pin_memory); |
| 2377 | } |
| 2378 | |
| 2379 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2380 | inline at::Tensor Tensor::new_full(at::IntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options) const { |
| 2381 | return at::_ops::new_full::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2382 | } |
| 2383 | |
| 2384 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2385 | inline at::Tensor Tensor::new_full(at::IntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2386 | return at::_ops::new_full::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), fill_value, dtype, layout, device, pin_memory); |
| 2387 | } |
| 2388 | |
| 2389 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2390 | inline at::Tensor Tensor::new_full_symint(c10::SymIntArrayRef size, const at::Scalar & fill_value, at::TensorOptions options) const { |
| 2391 | return at::_ops::new_full::call(const_cast<Tensor&>(*this), size, fill_value, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2392 | } |
| 2393 | |
| 2394 | // aten::new_full(Tensor self, SymInt[] size, Scalar fill_value, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2395 | inline at::Tensor Tensor::new_full_symint(c10::SymIntArrayRef size, const at::Scalar & fill_value, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2396 | return at::_ops::new_full::call(const_cast<Tensor&>(*this), size, fill_value, dtype, layout, device, pin_memory); |
| 2397 | } |
| 2398 | |
| 2399 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2400 | inline at::Tensor Tensor::new_zeros(at::IntArrayRef size, at::TensorOptions options) const { |
| 2401 | return at::_ops::new_zeros::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2402 | } |
| 2403 | |
| 2404 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2405 | inline at::Tensor Tensor::new_zeros(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2406 | return at::_ops::new_zeros::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 2407 | } |
| 2408 | |
| 2409 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2410 | inline at::Tensor Tensor::new_zeros_symint(c10::SymIntArrayRef size, at::TensorOptions options) const { |
| 2411 | return at::_ops::new_zeros::call(const_cast<Tensor&>(*this), size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2412 | } |
| 2413 | |
| 2414 | // aten::new_zeros(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2415 | inline at::Tensor Tensor::new_zeros_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2416 | return at::_ops::new_zeros::call(const_cast<Tensor&>(*this), size, dtype, layout, device, pin_memory); |
| 2417 | } |
| 2418 | |
| 2419 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2420 | inline at::Tensor Tensor::new_ones(at::IntArrayRef size, at::TensorOptions options) const { |
| 2421 | return at::_ops::new_ones::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2422 | } |
| 2423 | |
| 2424 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2425 | inline at::Tensor Tensor::new_ones(at::IntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2426 | return at::_ops::new_ones::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), dtype, layout, device, pin_memory); |
| 2427 | } |
| 2428 | |
| 2429 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2430 | inline at::Tensor Tensor::new_ones_symint(c10::SymIntArrayRef size, at::TensorOptions options) const { |
| 2431 | return at::_ops::new_ones::call(const_cast<Tensor&>(*this), size, optTypeMetaToScalarType(options.dtype_opt()), options.layout_opt(), options.device_opt(), options.pinned_memory_opt()); |
| 2432 | } |
| 2433 | |
| 2434 | // aten::new_ones(Tensor self, SymInt[] size, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None) -> Tensor |
| 2435 | inline at::Tensor Tensor::new_ones_symint(c10::SymIntArrayRef size, c10::optional<at::ScalarType> dtype, c10::optional<at::Layout> layout, c10::optional<at::Device> device, c10::optional<bool> pin_memory) const { |
| 2436 | return at::_ops::new_ones::call(const_cast<Tensor&>(*this), size, dtype, layout, device, pin_memory); |
| 2437 | } |
| 2438 | |
| 2439 | // aten::resize_(Tensor(a!) self, SymInt[] size, *, MemoryFormat? memory_format=None) -> Tensor(a!) |
| 2440 | inline const at::Tensor & Tensor::resize_(at::IntArrayRef size, c10::optional<at::MemoryFormat> memory_format) const { |
| 2441 | return at::_ops::resize_::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), memory_format); |
| 2442 | } |
| 2443 | |
| 2444 | // aten::resize_(Tensor(a!) self, SymInt[] size, *, MemoryFormat? memory_format=None) -> Tensor(a!) |
| 2445 | inline const at::Tensor & Tensor::resize__symint(c10::SymIntArrayRef size, c10::optional<at::MemoryFormat> memory_format) const { |
| 2446 | return at::_ops::resize_::call(const_cast<Tensor&>(*this), size, memory_format); |
| 2447 | } |
| 2448 | |
| 2449 | // aten::erf(Tensor self) -> Tensor |
| 2450 | inline at::Tensor Tensor::erf() const { |
| 2451 | return at::_ops::erf::call(const_cast<Tensor&>(*this)); |
| 2452 | } |
| 2453 | |
| 2454 | // aten::erf_(Tensor(a!) self) -> Tensor(a!) |
| 2455 | inline at::Tensor & Tensor::erf_() const { |
| 2456 | return at::_ops::erf_::call(const_cast<Tensor&>(*this)); |
| 2457 | } |
| 2458 | |
| 2459 | // aten::erfc(Tensor self) -> Tensor |
| 2460 | inline at::Tensor Tensor::erfc() const { |
| 2461 | return at::_ops::erfc::call(const_cast<Tensor&>(*this)); |
| 2462 | } |
| 2463 | |
| 2464 | // aten::erfc_(Tensor(a!) self) -> Tensor(a!) |
| 2465 | inline at::Tensor & Tensor::erfc_() const { |
| 2466 | return at::_ops::erfc_::call(const_cast<Tensor&>(*this)); |
| 2467 | } |
| 2468 | |
| 2469 | // aten::exp(Tensor self) -> Tensor |
| 2470 | inline at::Tensor Tensor::exp() const { |
| 2471 | return at::_ops::exp::call(const_cast<Tensor&>(*this)); |
| 2472 | } |
| 2473 | |
| 2474 | // aten::exp_(Tensor(a!) self) -> Tensor(a!) |
| 2475 | inline at::Tensor & Tensor::exp_() const { |
| 2476 | return at::_ops::exp_::call(const_cast<Tensor&>(*this)); |
| 2477 | } |
| 2478 | |
| 2479 | // aten::exp2(Tensor self) -> Tensor |
| 2480 | inline at::Tensor Tensor::exp2() const { |
| 2481 | return at::_ops::exp2::call(const_cast<Tensor&>(*this)); |
| 2482 | } |
| 2483 | |
| 2484 | // aten::exp2_(Tensor(a!) self) -> Tensor(a!) |
| 2485 | inline at::Tensor & Tensor::exp2_() const { |
| 2486 | return at::_ops::exp2_::call(const_cast<Tensor&>(*this)); |
| 2487 | } |
| 2488 | |
| 2489 | // aten::expm1(Tensor self) -> Tensor |
| 2490 | inline at::Tensor Tensor::expm1() const { |
| 2491 | return at::_ops::expm1::call(const_cast<Tensor&>(*this)); |
| 2492 | } |
| 2493 | |
| 2494 | // aten::expm1_(Tensor(a!) self) -> Tensor(a!) |
| 2495 | inline at::Tensor & Tensor::expm1_() const { |
| 2496 | return at::_ops::expm1_::call(const_cast<Tensor&>(*this)); |
| 2497 | } |
| 2498 | |
| 2499 | // aten::expand(Tensor(a) self, SymInt[] size, *, bool implicit=False) -> Tensor(a) |
| 2500 | inline at::Tensor Tensor::expand(at::IntArrayRef size, bool implicit) const { |
| 2501 | return at::_ops::expand::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), implicit); |
| 2502 | } |
| 2503 | |
| 2504 | // aten::expand(Tensor(a) self, SymInt[] size, *, bool implicit=False) -> Tensor(a) |
| 2505 | inline at::Tensor Tensor::expand_symint(c10::SymIntArrayRef size, bool implicit) const { |
| 2506 | return at::_ops::expand::call(const_cast<Tensor&>(*this), size, implicit); |
| 2507 | } |
| 2508 | |
| 2509 | // aten::expand_as(Tensor(a) self, Tensor other) -> Tensor(a) |
| 2510 | inline at::Tensor Tensor::expand_as(const at::Tensor & other) const { |
| 2511 | return at::_ops::expand_as::call(const_cast<Tensor&>(*this), other); |
| 2512 | } |
| 2513 | |
| 2514 | // aten::flatten.using_ints(Tensor(a) self, int start_dim=0, int end_dim=-1) -> Tensor(a) |
| 2515 | inline at::Tensor Tensor::flatten(int64_t start_dim, int64_t end_dim) const { |
| 2516 | return at::_ops::flatten_using_ints::call(const_cast<Tensor&>(*this), start_dim, end_dim); |
| 2517 | } |
| 2518 | |
| 2519 | // aten::flatten.named_out_dim(Tensor(a) self, int start_dim, int end_dim, Dimname out_dim) -> Tensor(a) |
| 2520 | inline at::Tensor Tensor::flatten(int64_t start_dim, int64_t end_dim, at::Dimname out_dim) const { |
| 2521 | return at::_ops::flatten_named_out_dim::call(const_cast<Tensor&>(*this), start_dim, end_dim, out_dim); |
| 2522 | } |
| 2523 | |
| 2524 | // aten::flatten.using_names(Tensor(a) self, Dimname start_dim, Dimname end_dim, Dimname out_dim) -> Tensor(a) |
| 2525 | inline at::Tensor Tensor::flatten(at::Dimname start_dim, at::Dimname end_dim, at::Dimname out_dim) const { |
| 2526 | return at::_ops::flatten_using_names::call(const_cast<Tensor&>(*this), start_dim, end_dim, out_dim); |
| 2527 | } |
| 2528 | |
| 2529 | // aten::flatten.DimnameList(Tensor(a) self, Dimname[] dims, Dimname out_dim) -> Tensor(a) |
| 2530 | inline at::Tensor Tensor::flatten(at::DimnameList dims, at::Dimname out_dim) const { |
| 2531 | return at::_ops::flatten_DimnameList::call(const_cast<Tensor&>(*this), dims, out_dim); |
| 2532 | } |
| 2533 | |
| 2534 | // aten::unflatten.int(Tensor(a) self, int dim, int[] sizes) -> Tensor(a) |
| 2535 | inline at::Tensor Tensor::unflatten(int64_t dim, at::IntArrayRef sizes) const { |
| 2536 | return at::_ops::unflatten_int::call(const_cast<Tensor&>(*this), dim, sizes); |
| 2537 | } |
| 2538 | |
| 2539 | // aten::unflatten.Dimname(Tensor(a) self, Dimname dim, int[] sizes, Dimname[] names) -> Tensor(a) |
| 2540 | inline at::Tensor Tensor::unflatten(at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names) const { |
| 2541 | return at::_ops::unflatten_Dimname::call(const_cast<Tensor&>(*this), dim, sizes, names); |
| 2542 | } |
| 2543 | |
| 2544 | // aten::fill_.Scalar(Tensor(a!) self, Scalar value) -> Tensor(a!) |
| 2545 | inline at::Tensor & Tensor::fill_(const at::Scalar & value) const { |
| 2546 | return at::_ops::fill__Scalar::call(const_cast<Tensor&>(*this), value); |
| 2547 | } |
| 2548 | |
| 2549 | // aten::fill_.Tensor(Tensor(a!) self, Tensor value) -> Tensor(a!) |
| 2550 | inline at::Tensor & Tensor::fill_(const at::Tensor & value) const { |
| 2551 | return at::_ops::fill__Tensor::call(const_cast<Tensor&>(*this), value); |
| 2552 | } |
| 2553 | |
| 2554 | // aten::floor(Tensor self) -> Tensor |
| 2555 | inline at::Tensor Tensor::floor() const { |
| 2556 | return at::_ops::floor::call(const_cast<Tensor&>(*this)); |
| 2557 | } |
| 2558 | |
| 2559 | // aten::floor_(Tensor(a!) self) -> Tensor(a!) |
| 2560 | inline at::Tensor & Tensor::floor_() const { |
| 2561 | return at::_ops::floor_::call(const_cast<Tensor&>(*this)); |
| 2562 | } |
| 2563 | |
| 2564 | // aten::floor_divide(Tensor self, Tensor other) -> Tensor |
| 2565 | inline at::Tensor Tensor::floor_divide(const at::Tensor & other) const { |
| 2566 | return at::_ops::floor_divide::call(const_cast<Tensor&>(*this), other); |
| 2567 | } |
| 2568 | |
| 2569 | // aten::floor_divide_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2570 | inline at::Tensor & Tensor::floor_divide_(const at::Tensor & other) const { |
| 2571 | return at::_ops::floor_divide__Tensor::call(const_cast<Tensor&>(*this), other); |
| 2572 | } |
| 2573 | |
| 2574 | // aten::floor_divide.Scalar(Tensor self, Scalar other) -> Tensor |
| 2575 | inline at::Tensor Tensor::floor_divide(const at::Scalar & other) const { |
| 2576 | return at::_ops::floor_divide_Scalar::call(const_cast<Tensor&>(*this), other); |
| 2577 | } |
| 2578 | |
| 2579 | // aten::floor_divide_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2580 | inline at::Tensor & Tensor::floor_divide_(const at::Scalar & other) const { |
| 2581 | return at::_ops::floor_divide__Scalar::call(const_cast<Tensor&>(*this), other); |
| 2582 | } |
| 2583 | |
| 2584 | // aten::frac(Tensor self) -> Tensor |
| 2585 | inline at::Tensor Tensor::frac() const { |
| 2586 | return at::_ops::frac::call(const_cast<Tensor&>(*this)); |
| 2587 | } |
| 2588 | |
| 2589 | // aten::frac_(Tensor(a!) self) -> Tensor(a!) |
| 2590 | inline at::Tensor & Tensor::frac_() const { |
| 2591 | return at::_ops::frac_::call(const_cast<Tensor&>(*this)); |
| 2592 | } |
| 2593 | |
| 2594 | // aten::gcd(Tensor self, Tensor other) -> Tensor |
| 2595 | inline at::Tensor Tensor::gcd(const at::Tensor & other) const { |
| 2596 | return at::_ops::gcd::call(const_cast<Tensor&>(*this), other); |
| 2597 | } |
| 2598 | |
| 2599 | // aten::gcd_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2600 | inline at::Tensor & Tensor::gcd_(const at::Tensor & other) const { |
| 2601 | return at::_ops::gcd_::call(const_cast<Tensor&>(*this), other); |
| 2602 | } |
| 2603 | |
| 2604 | // aten::lcm(Tensor self, Tensor other) -> Tensor |
| 2605 | inline at::Tensor Tensor::lcm(const at::Tensor & other) const { |
| 2606 | return at::_ops::lcm::call(const_cast<Tensor&>(*this), other); |
| 2607 | } |
| 2608 | |
| 2609 | // aten::lcm_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2610 | inline at::Tensor & Tensor::lcm_(const at::Tensor & other) const { |
| 2611 | return at::_ops::lcm_::call(const_cast<Tensor&>(*this), other); |
| 2612 | } |
| 2613 | |
| 2614 | // aten::index.Tensor(Tensor self, Tensor?[] indices) -> Tensor |
| 2615 | inline at::Tensor Tensor::index(const c10::List<c10::optional<at::Tensor>> & indices) const { |
| 2616 | return at::_ops::index_Tensor::call(const_cast<Tensor&>(*this), indices); |
| 2617 | } |
| 2618 | |
| 2619 | // aten::index_copy_(Tensor(a!) self, int dim, Tensor index, Tensor source) -> Tensor(a!) |
| 2620 | inline at::Tensor & Tensor::index_copy_(int64_t dim, const at::Tensor & index, const at::Tensor & source) const { |
| 2621 | return at::_ops::index_copy_::call(const_cast<Tensor&>(*this), dim, index, source); |
| 2622 | } |
| 2623 | |
| 2624 | // aten::index_copy(Tensor self, int dim, Tensor index, Tensor source) -> Tensor |
| 2625 | inline at::Tensor Tensor::index_copy(int64_t dim, const at::Tensor & index, const at::Tensor & source) const { |
| 2626 | return at::_ops::index_copy::call(const_cast<Tensor&>(*this), dim, index, source); |
| 2627 | } |
| 2628 | |
| 2629 | // aten::index_copy_.dimname(Tensor(a!) self, Dimname dim, Tensor index, Tensor source) -> Tensor(a!) |
| 2630 | inline at::Tensor & Tensor::index_copy_(at::Dimname dim, const at::Tensor & index, const at::Tensor & source) const { |
| 2631 | return at::_ops::index_copy__dimname::call(const_cast<Tensor&>(*this), dim, index, source); |
| 2632 | } |
| 2633 | |
| 2634 | // aten::index_copy.dimname(Tensor self, Dimname dim, Tensor index, Tensor source) -> Tensor |
| 2635 | inline at::Tensor Tensor::index_copy(at::Dimname dim, const at::Tensor & index, const at::Tensor & source) const { |
| 2636 | return at::_ops::index_copy_dimname::call(const_cast<Tensor&>(*this), dim, index, source); |
| 2637 | } |
| 2638 | |
| 2639 | // aten::index_put_(Tensor(a!) self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor(a!) |
| 2640 | inline at::Tensor & Tensor::index_put_(const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate) const { |
| 2641 | return at::_ops::index_put_::call(const_cast<Tensor&>(*this), indices, values, accumulate); |
| 2642 | } |
| 2643 | |
| 2644 | // aten::index_put(Tensor self, Tensor?[] indices, Tensor values, bool accumulate=False) -> Tensor |
| 2645 | inline at::Tensor Tensor::index_put(const c10::List<c10::optional<at::Tensor>> & indices, const at::Tensor & values, bool accumulate) const { |
| 2646 | return at::_ops::index_put::call(const_cast<Tensor&>(*this), indices, values, accumulate); |
| 2647 | } |
| 2648 | |
| 2649 | // aten::isclose(Tensor self, Tensor other, float rtol=1e-05, float atol=1e-08, bool equal_nan=False) -> Tensor |
| 2650 | inline at::Tensor Tensor::isclose(const at::Tensor & other, double rtol, double atol, bool equal_nan) const { |
| 2651 | return at::_ops::isclose::call(const_cast<Tensor&>(*this), other, rtol, atol, equal_nan); |
| 2652 | } |
| 2653 | |
| 2654 | // aten::isnan(Tensor self) -> Tensor |
| 2655 | inline at::Tensor Tensor::isnan() const { |
| 2656 | return at::_ops::isnan::call(const_cast<Tensor&>(*this)); |
| 2657 | } |
| 2658 | |
| 2659 | // aten::is_distributed(Tensor self) -> bool |
| 2660 | inline bool Tensor::is_distributed() const { |
| 2661 | return at::_ops::is_distributed::call(const_cast<Tensor&>(*this)); |
| 2662 | } |
| 2663 | |
| 2664 | // aten::is_floating_point(Tensor self) -> bool |
| 2665 | inline bool Tensor::__dispatch_is_floating_point() const { |
| 2666 | return at::_ops::is_floating_point::call(const_cast<Tensor&>(*this)); |
| 2667 | } |
| 2668 | |
| 2669 | // aten::is_complex(Tensor self) -> bool |
| 2670 | inline bool Tensor::__dispatch_is_complex() const { |
| 2671 | return at::_ops::is_complex::call(const_cast<Tensor&>(*this)); |
| 2672 | } |
| 2673 | |
| 2674 | // aten::is_conj(Tensor self) -> bool |
| 2675 | inline bool Tensor::__dispatch_is_conj() const { |
| 2676 | return at::_ops::is_conj::call(const_cast<Tensor&>(*this)); |
| 2677 | } |
| 2678 | |
| 2679 | // aten::_is_zerotensor(Tensor self) -> bool |
| 2680 | inline bool Tensor::__dispatch__is_zerotensor() const { |
| 2681 | return at::_ops::_is_zerotensor::call(const_cast<Tensor&>(*this)); |
| 2682 | } |
| 2683 | |
| 2684 | // aten::is_neg(Tensor self) -> bool |
| 2685 | inline bool Tensor::__dispatch_is_neg() const { |
| 2686 | return at::_ops::is_neg::call(const_cast<Tensor&>(*this)); |
| 2687 | } |
| 2688 | |
| 2689 | // aten::isreal(Tensor self) -> Tensor |
| 2690 | inline at::Tensor Tensor::isreal() const { |
| 2691 | return at::_ops::isreal::call(const_cast<Tensor&>(*this)); |
| 2692 | } |
| 2693 | |
| 2694 | // aten::is_nonzero(Tensor self) -> bool |
| 2695 | inline bool Tensor::is_nonzero() const { |
| 2696 | return at::_ops::is_nonzero::call(const_cast<Tensor&>(*this)); |
| 2697 | } |
| 2698 | |
| 2699 | // aten::is_same_size(Tensor self, Tensor other) -> bool |
| 2700 | inline bool Tensor::is_same_size(const at::Tensor & other) const { |
| 2701 | return at::_ops::is_same_size::call(const_cast<Tensor&>(*this), other); |
| 2702 | } |
| 2703 | |
| 2704 | // aten::is_signed(Tensor self) -> bool |
| 2705 | inline bool Tensor::__dispatch_is_signed() const { |
| 2706 | return at::_ops::is_signed::call(const_cast<Tensor&>(*this)); |
| 2707 | } |
| 2708 | |
| 2709 | // aten::is_inference(Tensor self) -> bool |
| 2710 | inline bool Tensor::__dispatch_is_inference() const { |
| 2711 | return at::_ops::is_inference::call(const_cast<Tensor&>(*this)); |
| 2712 | } |
| 2713 | |
| 2714 | // aten::kron(Tensor self, Tensor other) -> Tensor |
| 2715 | inline at::Tensor Tensor::kron(const at::Tensor & other) const { |
| 2716 | return at::_ops::kron::call(const_cast<Tensor&>(*this), other); |
| 2717 | } |
| 2718 | |
| 2719 | // aten::kthvalue(Tensor self, int k, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2720 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::kthvalue(int64_t k, int64_t dim, bool keepdim) const { |
| 2721 | return at::_ops::kthvalue::call(const_cast<Tensor&>(*this), k, dim, keepdim); |
| 2722 | } |
| 2723 | |
| 2724 | // aten::kthvalue.dimname(Tensor self, int k, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2725 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::kthvalue(int64_t k, at::Dimname dim, bool keepdim) const { |
| 2726 | return at::_ops::kthvalue_dimname::call(const_cast<Tensor&>(*this), k, dim, keepdim); |
| 2727 | } |
| 2728 | |
| 2729 | // aten::nan_to_num(Tensor self, float? nan=None, float? posinf=None, float? neginf=None) -> Tensor |
| 2730 | inline at::Tensor Tensor::nan_to_num(c10::optional<double> nan, c10::optional<double> posinf, c10::optional<double> neginf) const { |
| 2731 | return at::_ops::nan_to_num::call(const_cast<Tensor&>(*this), nan, posinf, neginf); |
| 2732 | } |
| 2733 | |
| 2734 | // aten::nan_to_num_(Tensor(a!) self, float? nan=None, float? posinf=None, float? neginf=None) -> Tensor(a!) |
| 2735 | inline at::Tensor & Tensor::nan_to_num_(c10::optional<double> nan, c10::optional<double> posinf, c10::optional<double> neginf) const { |
| 2736 | return at::_ops::nan_to_num_::call(const_cast<Tensor&>(*this), nan, posinf, neginf); |
| 2737 | } |
| 2738 | |
| 2739 | // aten::ldexp.Tensor(Tensor self, Tensor other) -> Tensor |
| 2740 | inline at::Tensor Tensor::ldexp(const at::Tensor & other) const { |
| 2741 | return at::_ops::ldexp_Tensor::call(const_cast<Tensor&>(*this), other); |
| 2742 | } |
| 2743 | |
| 2744 | // aten::ldexp_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2745 | inline at::Tensor & Tensor::ldexp_(const at::Tensor & other) const { |
| 2746 | return at::_ops::ldexp_::call(const_cast<Tensor&>(*this), other); |
| 2747 | } |
| 2748 | |
| 2749 | // aten::log(Tensor self) -> Tensor |
| 2750 | inline at::Tensor Tensor::log() const { |
| 2751 | return at::_ops::log::call(const_cast<Tensor&>(*this)); |
| 2752 | } |
| 2753 | |
| 2754 | // aten::log_(Tensor(a!) self) -> Tensor(a!) |
| 2755 | inline at::Tensor & Tensor::log_() const { |
| 2756 | return at::_ops::log_::call(const_cast<Tensor&>(*this)); |
| 2757 | } |
| 2758 | |
| 2759 | // aten::log10(Tensor self) -> Tensor |
| 2760 | inline at::Tensor Tensor::log10() const { |
| 2761 | return at::_ops::log10::call(const_cast<Tensor&>(*this)); |
| 2762 | } |
| 2763 | |
| 2764 | // aten::log10_(Tensor(a!) self) -> Tensor(a!) |
| 2765 | inline at::Tensor & Tensor::log10_() const { |
| 2766 | return at::_ops::log10_::call(const_cast<Tensor&>(*this)); |
| 2767 | } |
| 2768 | |
| 2769 | // aten::log1p(Tensor self) -> Tensor |
| 2770 | inline at::Tensor Tensor::log1p() const { |
| 2771 | return at::_ops::log1p::call(const_cast<Tensor&>(*this)); |
| 2772 | } |
| 2773 | |
| 2774 | // aten::log1p_(Tensor(a!) self) -> Tensor(a!) |
| 2775 | inline at::Tensor & Tensor::log1p_() const { |
| 2776 | return at::_ops::log1p_::call(const_cast<Tensor&>(*this)); |
| 2777 | } |
| 2778 | |
| 2779 | // aten::log2(Tensor self) -> Tensor |
| 2780 | inline at::Tensor Tensor::log2() const { |
| 2781 | return at::_ops::log2::call(const_cast<Tensor&>(*this)); |
| 2782 | } |
| 2783 | |
| 2784 | // aten::log2_(Tensor(a!) self) -> Tensor(a!) |
| 2785 | inline at::Tensor & Tensor::log2_() const { |
| 2786 | return at::_ops::log2_::call(const_cast<Tensor&>(*this)); |
| 2787 | } |
| 2788 | |
| 2789 | // aten::logaddexp(Tensor self, Tensor other) -> Tensor |
| 2790 | inline at::Tensor Tensor::logaddexp(const at::Tensor & other) const { |
| 2791 | return at::_ops::logaddexp::call(const_cast<Tensor&>(*this), other); |
| 2792 | } |
| 2793 | |
| 2794 | // aten::logaddexp2(Tensor self, Tensor other) -> Tensor |
| 2795 | inline at::Tensor Tensor::logaddexp2(const at::Tensor & other) const { |
| 2796 | return at::_ops::logaddexp2::call(const_cast<Tensor&>(*this), other); |
| 2797 | } |
| 2798 | |
| 2799 | // aten::xlogy.Tensor(Tensor self, Tensor other) -> Tensor |
| 2800 | inline at::Tensor Tensor::xlogy(const at::Tensor & other) const { |
| 2801 | return at::_ops::xlogy_Tensor::call(const_cast<Tensor&>(*this), other); |
| 2802 | } |
| 2803 | |
| 2804 | // aten::xlogy.Scalar_Other(Tensor self, Scalar other) -> Tensor |
| 2805 | inline at::Tensor Tensor::xlogy(const at::Scalar & other) const { |
| 2806 | return at::_ops::xlogy_Scalar_Other::call(const_cast<Tensor&>(*this), other); |
| 2807 | } |
| 2808 | |
| 2809 | // aten::xlogy_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2810 | inline at::Tensor & Tensor::xlogy_(const at::Tensor & other) const { |
| 2811 | return at::_ops::xlogy__Tensor::call(const_cast<Tensor&>(*this), other); |
| 2812 | } |
| 2813 | |
| 2814 | // aten::xlogy_.Scalar_Other(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2815 | inline at::Tensor & Tensor::xlogy_(const at::Scalar & other) const { |
| 2816 | return at::_ops::xlogy__Scalar_Other::call(const_cast<Tensor&>(*this), other); |
| 2817 | } |
| 2818 | |
| 2819 | // aten::log_softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor |
| 2820 | inline at::Tensor Tensor::log_softmax(int64_t dim, c10::optional<at::ScalarType> dtype) const { |
| 2821 | return at::_ops::log_softmax_int::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2822 | } |
| 2823 | |
| 2824 | // aten::log_softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 2825 | inline at::Tensor Tensor::log_softmax(at::Dimname dim, c10::optional<at::ScalarType> dtype) const { |
| 2826 | return at::_ops::log_softmax_Dimname::call(const_cast<Tensor&>(*this), dim, dtype); |
| 2827 | } |
| 2828 | |
| 2829 | // aten::logcumsumexp(Tensor self, int dim) -> Tensor |
| 2830 | inline at::Tensor Tensor::logcumsumexp(int64_t dim) const { |
| 2831 | return at::_ops::logcumsumexp::call(const_cast<Tensor&>(*this), dim); |
| 2832 | } |
| 2833 | |
| 2834 | // aten::logcumsumexp.dimname(Tensor self, Dimname dim) -> Tensor |
| 2835 | inline at::Tensor Tensor::logcumsumexp(at::Dimname dim) const { |
| 2836 | return at::_ops::logcumsumexp_dimname::call(const_cast<Tensor&>(*this), dim); |
| 2837 | } |
| 2838 | |
| 2839 | // aten::logsumexp(Tensor self, int[1] dim, bool keepdim=False) -> Tensor |
| 2840 | inline at::Tensor Tensor::logsumexp(at::IntArrayRef dim, bool keepdim) const { |
| 2841 | return at::_ops::logsumexp::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2842 | } |
| 2843 | |
| 2844 | // aten::logsumexp.names(Tensor self, Dimname[1] dim, bool keepdim=False) -> Tensor |
| 2845 | inline at::Tensor Tensor::logsumexp(at::DimnameList dim, bool keepdim) const { |
| 2846 | return at::_ops::logsumexp_names::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2847 | } |
| 2848 | |
| 2849 | // aten::matmul(Tensor self, Tensor other) -> Tensor |
| 2850 | inline at::Tensor Tensor::matmul(const at::Tensor & other) const { |
| 2851 | return at::_ops::matmul::call(const_cast<Tensor&>(*this), other); |
| 2852 | } |
| 2853 | |
| 2854 | // aten::matrix_power(Tensor self, int n) -> Tensor |
| 2855 | inline at::Tensor Tensor::matrix_power(int64_t n) const { |
| 2856 | return at::_ops::matrix_power::call(const_cast<Tensor&>(*this), n); |
| 2857 | } |
| 2858 | |
| 2859 | // aten::matrix_exp(Tensor self) -> Tensor |
| 2860 | inline at::Tensor Tensor::matrix_exp() const { |
| 2861 | return at::_ops::matrix_exp::call(const_cast<Tensor&>(*this)); |
| 2862 | } |
| 2863 | |
| 2864 | // aten::aminmax(Tensor self, *, int? dim=None, bool keepdim=False) -> (Tensor min, Tensor max) |
| 2865 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::aminmax(c10::optional<int64_t> dim, bool keepdim) const { |
| 2866 | return at::_ops::aminmax::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2867 | } |
| 2868 | |
| 2869 | // aten::max.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2870 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::max(int64_t dim, bool keepdim) const { |
| 2871 | return at::_ops::max_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2872 | } |
| 2873 | |
| 2874 | // aten::max.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2875 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::max(at::Dimname dim, bool keepdim) const { |
| 2876 | return at::_ops::max_names_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2877 | } |
| 2878 | |
| 2879 | // aten::amax(Tensor self, int[1] dim=[], bool keepdim=False) -> Tensor |
| 2880 | inline at::Tensor Tensor::amax(at::IntArrayRef dim, bool keepdim) const { |
| 2881 | return at::_ops::amax::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2882 | } |
| 2883 | |
| 2884 | // aten::mean(Tensor self, *, ScalarType? dtype=None) -> Tensor |
| 2885 | inline at::Tensor Tensor::mean(c10::optional<at::ScalarType> dtype) const { |
| 2886 | return at::_ops::mean::call(const_cast<Tensor&>(*this), dtype); |
| 2887 | } |
| 2888 | |
| 2889 | // aten::mean.dim(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 2890 | inline at::Tensor Tensor::mean(at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 2891 | return at::_ops::mean_dim::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 2892 | } |
| 2893 | |
| 2894 | // aten::mean.names_dim(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 2895 | inline at::Tensor Tensor::mean(at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 2896 | return at::_ops::mean_names_dim::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 2897 | } |
| 2898 | |
| 2899 | // aten::nanmean(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 2900 | inline at::Tensor Tensor::nanmean(at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 2901 | return at::_ops::nanmean::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 2902 | } |
| 2903 | |
| 2904 | // aten::median(Tensor self) -> Tensor |
| 2905 | inline at::Tensor Tensor::median() const { |
| 2906 | return at::_ops::median::call(const_cast<Tensor&>(*this)); |
| 2907 | } |
| 2908 | |
| 2909 | // aten::median.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2910 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::median(int64_t dim, bool keepdim) const { |
| 2911 | return at::_ops::median_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2912 | } |
| 2913 | |
| 2914 | // aten::median.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2915 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::median(at::Dimname dim, bool keepdim) const { |
| 2916 | return at::_ops::median_names_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2917 | } |
| 2918 | |
| 2919 | // aten::nanmedian(Tensor self) -> Tensor |
| 2920 | inline at::Tensor Tensor::nanmedian() const { |
| 2921 | return at::_ops::nanmedian::call(const_cast<Tensor&>(*this)); |
| 2922 | } |
| 2923 | |
| 2924 | // aten::nanmedian.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2925 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::nanmedian(int64_t dim, bool keepdim) const { |
| 2926 | return at::_ops::nanmedian_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2927 | } |
| 2928 | |
| 2929 | // aten::nanmedian.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2930 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::nanmedian(at::Dimname dim, bool keepdim) const { |
| 2931 | return at::_ops::nanmedian_names_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2932 | } |
| 2933 | |
| 2934 | // aten::min.dim(Tensor self, int dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2935 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::min(int64_t dim, bool keepdim) const { |
| 2936 | return at::_ops::min_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2937 | } |
| 2938 | |
| 2939 | // aten::min.names_dim(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2940 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::min(at::Dimname dim, bool keepdim) const { |
| 2941 | return at::_ops::min_names_dim::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2942 | } |
| 2943 | |
| 2944 | // aten::amin(Tensor self, int[1] dim=[], bool keepdim=False) -> Tensor |
| 2945 | inline at::Tensor Tensor::amin(at::IntArrayRef dim, bool keepdim) const { |
| 2946 | return at::_ops::amin::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2947 | } |
| 2948 | |
| 2949 | // aten::mm(Tensor self, Tensor mat2) -> Tensor |
| 2950 | inline at::Tensor Tensor::mm(const at::Tensor & mat2) const { |
| 2951 | return at::_ops::mm::call(const_cast<Tensor&>(*this), mat2); |
| 2952 | } |
| 2953 | |
| 2954 | // aten::mode(Tensor self, int dim=-1, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2955 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::mode(int64_t dim, bool keepdim) const { |
| 2956 | return at::_ops::mode::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2957 | } |
| 2958 | |
| 2959 | // aten::mode.dimname(Tensor self, Dimname dim, bool keepdim=False) -> (Tensor values, Tensor indices) |
| 2960 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::mode(at::Dimname dim, bool keepdim) const { |
| 2961 | return at::_ops::mode_dimname::call(const_cast<Tensor&>(*this), dim, keepdim); |
| 2962 | } |
| 2963 | |
| 2964 | // aten::mul.Tensor(Tensor self, Tensor other) -> Tensor |
| 2965 | inline at::Tensor Tensor::mul(const at::Tensor & other) const { |
| 2966 | return at::_ops::mul_Tensor::call(const_cast<Tensor&>(*this), other); |
| 2967 | } |
| 2968 | |
| 2969 | // aten::mul_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2970 | inline at::Tensor & Tensor::mul_(const at::Tensor & other) const { |
| 2971 | return at::_ops::mul__Tensor::call(const_cast<Tensor&>(*this), other); |
| 2972 | } |
| 2973 | |
| 2974 | // aten::mul.Scalar(Tensor self, Scalar other) -> Tensor |
| 2975 | inline at::Tensor Tensor::mul(const at::Scalar & other) const { |
| 2976 | return at::_ops::mul_Scalar::call(const_cast<Tensor&>(*this), other); |
| 2977 | } |
| 2978 | |
| 2979 | // aten::mul_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 2980 | inline at::Tensor & Tensor::mul_(const at::Scalar & other) const { |
| 2981 | return at::_ops::mul__Scalar::call(const_cast<Tensor&>(*this), other); |
| 2982 | } |
| 2983 | |
| 2984 | // aten::multiply.Tensor(Tensor self, Tensor other) -> Tensor |
| 2985 | inline at::Tensor Tensor::multiply(const at::Tensor & other) const { |
| 2986 | return at::_ops::multiply_Tensor::call(const_cast<Tensor&>(*this), other); |
| 2987 | } |
| 2988 | |
| 2989 | // aten::multiply_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 2990 | inline at::Tensor & Tensor::multiply_(const at::Tensor & other) const { |
| 2991 | return at::_ops::multiply__Tensor::call(const_cast<Tensor&>(*this), other); |
| 2992 | } |
| 2993 | |
| 2994 | // aten::multiply.Scalar(Tensor self, Scalar other) -> Tensor |
| 2995 | inline at::Tensor Tensor::multiply(const at::Scalar & other) const { |
| 2996 | return at::_ops::multiply_Scalar::call(const_cast<Tensor&>(*this), other); |
| 2997 | } |
| 2998 | |
| 2999 | // aten::multiply_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 3000 | inline at::Tensor & Tensor::multiply_(const at::Scalar & other) const { |
| 3001 | return at::_ops::multiply__Scalar::call(const_cast<Tensor&>(*this), other); |
| 3002 | } |
| 3003 | |
| 3004 | // aten::mv(Tensor self, Tensor vec) -> Tensor |
| 3005 | inline at::Tensor Tensor::mv(const at::Tensor & vec) const { |
| 3006 | return at::_ops::mv::call(const_cast<Tensor&>(*this), vec); |
| 3007 | } |
| 3008 | |
| 3009 | // aten::mvlgamma(Tensor self, int p) -> Tensor |
| 3010 | inline at::Tensor Tensor::mvlgamma(int64_t p) const { |
| 3011 | return at::_ops::mvlgamma::call(const_cast<Tensor&>(*this), p); |
| 3012 | } |
| 3013 | |
| 3014 | // aten::mvlgamma_(Tensor(a!) self, int p) -> Tensor(a!) |
| 3015 | inline at::Tensor & Tensor::mvlgamma_(int64_t p) const { |
| 3016 | return at::_ops::mvlgamma_::call(const_cast<Tensor&>(*this), p); |
| 3017 | } |
| 3018 | |
| 3019 | // aten::narrow_copy(Tensor self, int dim, SymInt start, SymInt length) -> Tensor |
| 3020 | inline at::Tensor Tensor::narrow_copy(int64_t dim, int64_t start, int64_t length) const { |
| 3021 | return at::_ops::narrow_copy::call(const_cast<Tensor&>(*this), dim, start, length); |
| 3022 | } |
| 3023 | |
| 3024 | // aten::narrow_copy(Tensor self, int dim, SymInt start, SymInt length) -> Tensor |
| 3025 | inline at::Tensor Tensor::narrow_copy_symint(int64_t dim, c10::SymInt start, c10::SymInt length) const { |
| 3026 | return at::_ops::narrow_copy::call(const_cast<Tensor&>(*this), dim, start, length); |
| 3027 | } |
| 3028 | |
| 3029 | // aten::narrow(Tensor(a) self, int dim, SymInt start, SymInt length) -> Tensor(a) |
| 3030 | inline at::Tensor Tensor::narrow(int64_t dim, int64_t start, int64_t length) const { |
| 3031 | return at::_ops::narrow::call(const_cast<Tensor&>(*this), dim, start, length); |
| 3032 | } |
| 3033 | |
| 3034 | // aten::narrow(Tensor(a) self, int dim, SymInt start, SymInt length) -> Tensor(a) |
| 3035 | inline at::Tensor Tensor::narrow_symint(int64_t dim, c10::SymInt start, c10::SymInt length) const { |
| 3036 | return at::_ops::narrow::call(const_cast<Tensor&>(*this), dim, start, length); |
| 3037 | } |
| 3038 | |
| 3039 | // aten::narrow.Tensor(Tensor(a) self, int dim, Tensor start, SymInt length) -> Tensor(a) |
| 3040 | inline at::Tensor Tensor::narrow(int64_t dim, const at::Tensor & start, int64_t length) const { |
| 3041 | return at::_ops::narrow_Tensor::call(const_cast<Tensor&>(*this), dim, start, length); |
| 3042 | } |
| 3043 | |
| 3044 | // aten::narrow.Tensor(Tensor(a) self, int dim, Tensor start, SymInt length) -> Tensor(a) |
| 3045 | inline at::Tensor Tensor::narrow_symint(int64_t dim, const at::Tensor & start, c10::SymInt length) const { |
| 3046 | return at::_ops::narrow_Tensor::call(const_cast<Tensor&>(*this), dim, start, length); |
| 3047 | } |
| 3048 | |
| 3049 | // aten::permute(Tensor(a) self, int[] dims) -> Tensor(a) |
| 3050 | inline at::Tensor Tensor::permute(at::IntArrayRef dims) const { |
| 3051 | return at::_ops::permute::call(const_cast<Tensor&>(*this), dims); |
| 3052 | } |
| 3053 | |
| 3054 | // aten::movedim.intlist(Tensor(a) self, int[] source, int[] destination) -> Tensor(a) |
| 3055 | inline at::Tensor Tensor::movedim(at::IntArrayRef source, at::IntArrayRef destination) const { |
| 3056 | return at::_ops::movedim_intlist::call(const_cast<Tensor&>(*this), source, destination); |
| 3057 | } |
| 3058 | |
| 3059 | // aten::movedim.int(Tensor(a) self, int source, int destination) -> Tensor(a) |
| 3060 | inline at::Tensor Tensor::movedim(int64_t source, int64_t destination) const { |
| 3061 | return at::_ops::movedim_int::call(const_cast<Tensor&>(*this), source, destination); |
| 3062 | } |
| 3063 | |
| 3064 | // aten::moveaxis.intlist(Tensor(a) self, int[] source, int[] destination) -> Tensor(a) |
| 3065 | inline at::Tensor Tensor::moveaxis(at::IntArrayRef source, at::IntArrayRef destination) const { |
| 3066 | return at::_ops::moveaxis_intlist::call(const_cast<Tensor&>(*this), source, destination); |
| 3067 | } |
| 3068 | |
| 3069 | // aten::moveaxis.int(Tensor(a) self, int source, int destination) -> Tensor(a) |
| 3070 | inline at::Tensor Tensor::moveaxis(int64_t source, int64_t destination) const { |
| 3071 | return at::_ops::moveaxis_int::call(const_cast<Tensor&>(*this), source, destination); |
| 3072 | } |
| 3073 | |
| 3074 | // aten::numpy_T(Tensor(a) self) -> Tensor(a) |
| 3075 | inline at::Tensor Tensor::numpy_T() const { |
| 3076 | return at::_ops::numpy_T::call(const_cast<Tensor&>(*this)); |
| 3077 | } |
| 3078 | |
| 3079 | // aten::matrix_H(Tensor(a) self) -> Tensor(a) |
| 3080 | inline at::Tensor Tensor::matrix_H() const { |
| 3081 | return at::_ops::matrix_H::call(const_cast<Tensor&>(*this)); |
| 3082 | } |
| 3083 | |
| 3084 | // aten::mT(Tensor(a) self) -> Tensor(a) |
| 3085 | inline at::Tensor Tensor::mT() const { |
| 3086 | return at::_ops::mT::call(const_cast<Tensor&>(*this)); |
| 3087 | } |
| 3088 | |
| 3089 | // aten::mH(Tensor(a) self) -> Tensor(a) |
| 3090 | inline at::Tensor Tensor::mH() const { |
| 3091 | return at::_ops::mH::call(const_cast<Tensor&>(*this)); |
| 3092 | } |
| 3093 | |
| 3094 | // aten::adjoint(Tensor(a) self) -> Tensor(a) |
| 3095 | inline at::Tensor Tensor::adjoint() const { |
| 3096 | return at::_ops::adjoint::call(const_cast<Tensor&>(*this)); |
| 3097 | } |
| 3098 | |
| 3099 | // aten::is_pinned(Tensor self, Device? device=None) -> bool |
| 3100 | inline bool Tensor::is_pinned(c10::optional<at::Device> device) const { |
| 3101 | return at::_ops::is_pinned::call(const_cast<Tensor&>(*this), device); |
| 3102 | } |
| 3103 | |
| 3104 | // aten::pin_memory(Tensor(a) self, Device? device=None) -> Tensor(a) |
| 3105 | inline at::Tensor Tensor::pin_memory(c10::optional<at::Device> device) const { |
| 3106 | return at::_ops::pin_memory::call(const_cast<Tensor&>(*this), device); |
| 3107 | } |
| 3108 | |
| 3109 | // aten::pinverse(Tensor self, float rcond=1e-15) -> Tensor |
| 3110 | inline at::Tensor Tensor::pinverse(double rcond) const { |
| 3111 | return at::_ops::pinverse::call(const_cast<Tensor&>(*this), rcond); |
| 3112 | } |
| 3113 | |
| 3114 | // aten::rad2deg(Tensor self) -> Tensor |
| 3115 | inline at::Tensor Tensor::rad2deg() const { |
| 3116 | return at::_ops::rad2deg::call(const_cast<Tensor&>(*this)); |
| 3117 | } |
| 3118 | |
| 3119 | // aten::rad2deg_(Tensor(a!) self) -> Tensor(a!) |
| 3120 | inline at::Tensor & Tensor::rad2deg_() const { |
| 3121 | return at::_ops::rad2deg_::call(const_cast<Tensor&>(*this)); |
| 3122 | } |
| 3123 | |
| 3124 | // aten::deg2rad(Tensor self) -> Tensor |
| 3125 | inline at::Tensor Tensor::deg2rad() const { |
| 3126 | return at::_ops::deg2rad::call(const_cast<Tensor&>(*this)); |
| 3127 | } |
| 3128 | |
| 3129 | // aten::deg2rad_(Tensor(a!) self) -> Tensor(a!) |
| 3130 | inline at::Tensor & Tensor::deg2rad_() const { |
| 3131 | return at::_ops::deg2rad_::call(const_cast<Tensor&>(*this)); |
| 3132 | } |
| 3133 | |
| 3134 | // aten::ravel(Tensor(a) self) -> Tensor(a) |
| 3135 | inline at::Tensor Tensor::ravel() const { |
| 3136 | return at::_ops::ravel::call(const_cast<Tensor&>(*this)); |
| 3137 | } |
| 3138 | |
| 3139 | // aten::reciprocal(Tensor self) -> Tensor |
| 3140 | inline at::Tensor Tensor::reciprocal() const { |
| 3141 | return at::_ops::reciprocal::call(const_cast<Tensor&>(*this)); |
| 3142 | } |
| 3143 | |
| 3144 | // aten::reciprocal_(Tensor(a!) self) -> Tensor(a!) |
| 3145 | inline at::Tensor & Tensor::reciprocal_() const { |
| 3146 | return at::_ops::reciprocal_::call(const_cast<Tensor&>(*this)); |
| 3147 | } |
| 3148 | |
| 3149 | // aten::neg(Tensor self) -> Tensor |
| 3150 | inline at::Tensor Tensor::neg() const { |
| 3151 | return at::_ops::neg::call(const_cast<Tensor&>(*this)); |
| 3152 | } |
| 3153 | |
| 3154 | // aten::neg_(Tensor(a!) self) -> Tensor(a!) |
| 3155 | inline at::Tensor & Tensor::neg_() const { |
| 3156 | return at::_ops::neg_::call(const_cast<Tensor&>(*this)); |
| 3157 | } |
| 3158 | |
| 3159 | // aten::negative(Tensor self) -> Tensor |
| 3160 | inline at::Tensor Tensor::negative() const { |
| 3161 | return at::_ops::negative::call(const_cast<Tensor&>(*this)); |
| 3162 | } |
| 3163 | |
| 3164 | // aten::negative_(Tensor(a!) self) -> Tensor(a!) |
| 3165 | inline at::Tensor & Tensor::negative_() const { |
| 3166 | return at::_ops::negative_::call(const_cast<Tensor&>(*this)); |
| 3167 | } |
| 3168 | |
| 3169 | // aten::repeat(Tensor self, SymInt[] repeats) -> Tensor |
| 3170 | inline at::Tensor Tensor::repeat(at::IntArrayRef repeats) const { |
| 3171 | return at::_ops::repeat::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(repeats)); |
| 3172 | } |
| 3173 | |
| 3174 | // aten::repeat(Tensor self, SymInt[] repeats) -> Tensor |
| 3175 | inline at::Tensor Tensor::repeat_symint(c10::SymIntArrayRef repeats) const { |
| 3176 | return at::_ops::repeat::call(const_cast<Tensor&>(*this), repeats); |
| 3177 | } |
| 3178 | |
| 3179 | // aten::repeat_interleave.self_Tensor(Tensor self, Tensor repeats, int? dim=None, *, int? output_size=None) -> Tensor |
| 3180 | inline at::Tensor Tensor::repeat_interleave(const at::Tensor & repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) const { |
| 3181 | return at::_ops::repeat_interleave_self_Tensor::call(const_cast<Tensor&>(*this), repeats, dim, output_size); |
| 3182 | } |
| 3183 | |
| 3184 | // aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, int? output_size=None) -> Tensor |
| 3185 | inline at::Tensor Tensor::repeat_interleave(int64_t repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) const { |
| 3186 | return at::_ops::repeat_interleave_self_int::call(const_cast<Tensor&>(*this), repeats, dim, output_size); |
| 3187 | } |
| 3188 | |
| 3189 | // aten::repeat_interleave.self_int(Tensor self, SymInt repeats, int? dim=None, *, int? output_size=None) -> Tensor |
| 3190 | inline at::Tensor Tensor::repeat_interleave_symint(c10::SymInt repeats, c10::optional<int64_t> dim, c10::optional<int64_t> output_size) const { |
| 3191 | return at::_ops::repeat_interleave_self_int::call(const_cast<Tensor&>(*this), repeats, dim, output_size); |
| 3192 | } |
| 3193 | |
| 3194 | // aten::reshape(Tensor(a) self, SymInt[] shape) -> Tensor(a) |
| 3195 | inline at::Tensor Tensor::reshape(at::IntArrayRef shape) const { |
| 3196 | return at::_ops::reshape::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(shape)); |
| 3197 | } |
| 3198 | |
| 3199 | // aten::reshape(Tensor(a) self, SymInt[] shape) -> Tensor(a) |
| 3200 | inline at::Tensor Tensor::reshape_symint(c10::SymIntArrayRef shape) const { |
| 3201 | return at::_ops::reshape::call(const_cast<Tensor&>(*this), shape); |
| 3202 | } |
| 3203 | |
| 3204 | // aten::_reshape_alias(Tensor(a) self, SymInt[] size, SymInt[] stride) -> Tensor(a) |
| 3205 | inline at::Tensor Tensor::_reshape_alias(at::IntArrayRef size, at::IntArrayRef stride) const { |
| 3206 | return at::_ops::_reshape_alias::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 3207 | } |
| 3208 | |
| 3209 | // aten::_reshape_alias(Tensor(a) self, SymInt[] size, SymInt[] stride) -> Tensor(a) |
| 3210 | inline at::Tensor Tensor::_reshape_alias_symint(c10::SymIntArrayRef size, c10::SymIntArrayRef stride) const { |
| 3211 | return at::_ops::_reshape_alias::call(const_cast<Tensor&>(*this), size, stride); |
| 3212 | } |
| 3213 | |
| 3214 | // aten::reshape_as(Tensor(a) self, Tensor other) -> Tensor(a) |
| 3215 | inline at::Tensor Tensor::reshape_as(const at::Tensor & other) const { |
| 3216 | return at::_ops::reshape_as::call(const_cast<Tensor&>(*this), other); |
| 3217 | } |
| 3218 | |
| 3219 | // aten::round(Tensor self) -> Tensor |
| 3220 | inline at::Tensor Tensor::round() const { |
| 3221 | return at::_ops::round::call(const_cast<Tensor&>(*this)); |
| 3222 | } |
| 3223 | |
| 3224 | // aten::round_(Tensor(a!) self) -> Tensor(a!) |
| 3225 | inline at::Tensor & Tensor::round_() const { |
| 3226 | return at::_ops::round_::call(const_cast<Tensor&>(*this)); |
| 3227 | } |
| 3228 | |
| 3229 | // aten::round.decimals(Tensor self, *, int decimals) -> Tensor |
| 3230 | inline at::Tensor Tensor::round(int64_t decimals) const { |
| 3231 | return at::_ops::round_decimals::call(const_cast<Tensor&>(*this), decimals); |
| 3232 | } |
| 3233 | |
| 3234 | // aten::round_.decimals(Tensor(a!) self, *, int decimals) -> Tensor(a!) |
| 3235 | inline at::Tensor & Tensor::round_(int64_t decimals) const { |
| 3236 | return at::_ops::round__decimals::call(const_cast<Tensor&>(*this), decimals); |
| 3237 | } |
| 3238 | |
| 3239 | // aten::relu(Tensor self) -> Tensor |
| 3240 | inline at::Tensor Tensor::relu() const { |
| 3241 | return at::_ops::relu::call(const_cast<Tensor&>(*this)); |
| 3242 | } |
| 3243 | |
| 3244 | // aten::relu_(Tensor(a!) self) -> Tensor(a!) |
| 3245 | inline at::Tensor & Tensor::relu_() const { |
| 3246 | return at::_ops::relu_::call(const_cast<Tensor&>(*this)); |
| 3247 | } |
| 3248 | |
| 3249 | // aten::prelu(Tensor self, Tensor weight) -> Tensor |
| 3250 | inline at::Tensor Tensor::prelu(const at::Tensor & weight) const { |
| 3251 | return at::_ops::prelu::call(const_cast<Tensor&>(*this), weight); |
| 3252 | } |
| 3253 | |
| 3254 | // aten::hardshrink(Tensor self, Scalar lambd=0.5) -> Tensor |
| 3255 | inline at::Tensor Tensor::hardshrink(const at::Scalar & lambd) const { |
| 3256 | return at::_ops::hardshrink::call(const_cast<Tensor&>(*this), lambd); |
| 3257 | } |
| 3258 | |
| 3259 | // aten::hardshrink_backward(Tensor grad_out, Tensor self, Scalar lambd) -> Tensor |
| 3260 | inline at::Tensor Tensor::hardshrink_backward(const at::Tensor & grad_out, const at::Scalar & lambd) const { |
| 3261 | return at::_ops::hardshrink_backward::call(grad_out, const_cast<Tensor&>(*this), lambd); |
| 3262 | } |
| 3263 | |
| 3264 | // aten::rsqrt(Tensor self) -> Tensor |
| 3265 | inline at::Tensor Tensor::rsqrt() const { |
| 3266 | return at::_ops::rsqrt::call(const_cast<Tensor&>(*this)); |
| 3267 | } |
| 3268 | |
| 3269 | // aten::rsqrt_(Tensor(a!) self) -> Tensor(a!) |
| 3270 | inline at::Tensor & Tensor::rsqrt_() const { |
| 3271 | return at::_ops::rsqrt_::call(const_cast<Tensor&>(*this)); |
| 3272 | } |
| 3273 | |
| 3274 | // aten::select.Dimname(Tensor(a) self, Dimname dim, int index) -> Tensor(a) |
| 3275 | inline at::Tensor Tensor::select(at::Dimname dim, int64_t index) const { |
| 3276 | return at::_ops::select_Dimname::call(const_cast<Tensor&>(*this), dim, index); |
| 3277 | } |
| 3278 | |
| 3279 | // aten::select.int(Tensor(a) self, int dim, SymInt index) -> Tensor(a) |
| 3280 | inline at::Tensor Tensor::select(int64_t dim, int64_t index) const { |
| 3281 | return at::_ops::select_int::call(const_cast<Tensor&>(*this), dim, index); |
| 3282 | } |
| 3283 | |
| 3284 | // aten::select.int(Tensor(a) self, int dim, SymInt index) -> Tensor(a) |
| 3285 | inline at::Tensor Tensor::select_symint(int64_t dim, c10::SymInt index) const { |
| 3286 | return at::_ops::select_int::call(const_cast<Tensor&>(*this), dim, index); |
| 3287 | } |
| 3288 | |
| 3289 | // aten::sigmoid(Tensor self) -> Tensor |
| 3290 | inline at::Tensor Tensor::sigmoid() const { |
| 3291 | return at::_ops::sigmoid::call(const_cast<Tensor&>(*this)); |
| 3292 | } |
| 3293 | |
| 3294 | // aten::sigmoid_(Tensor(a!) self) -> Tensor(a!) |
| 3295 | inline at::Tensor & Tensor::sigmoid_() const { |
| 3296 | return at::_ops::sigmoid_::call(const_cast<Tensor&>(*this)); |
| 3297 | } |
| 3298 | |
| 3299 | // aten::logit(Tensor self, float? eps=None) -> Tensor |
| 3300 | inline at::Tensor Tensor::logit(c10::optional<double> eps) const { |
| 3301 | return at::_ops::logit::call(const_cast<Tensor&>(*this), eps); |
| 3302 | } |
| 3303 | |
| 3304 | // aten::logit_(Tensor(a!) self, float? eps=None) -> Tensor(a!) |
| 3305 | inline at::Tensor & Tensor::logit_(c10::optional<double> eps) const { |
| 3306 | return at::_ops::logit_::call(const_cast<Tensor&>(*this), eps); |
| 3307 | } |
| 3308 | |
| 3309 | // aten::sin(Tensor self) -> Tensor |
| 3310 | inline at::Tensor Tensor::sin() const { |
| 3311 | return at::_ops::sin::call(const_cast<Tensor&>(*this)); |
| 3312 | } |
| 3313 | |
| 3314 | // aten::sin_(Tensor(a!) self) -> Tensor(a!) |
| 3315 | inline at::Tensor & Tensor::sin_() const { |
| 3316 | return at::_ops::sin_::call(const_cast<Tensor&>(*this)); |
| 3317 | } |
| 3318 | |
| 3319 | // aten::sinc(Tensor self) -> Tensor |
| 3320 | inline at::Tensor Tensor::sinc() const { |
| 3321 | return at::_ops::sinc::call(const_cast<Tensor&>(*this)); |
| 3322 | } |
| 3323 | |
| 3324 | // aten::sinc_(Tensor(a!) self) -> Tensor(a!) |
| 3325 | inline at::Tensor & Tensor::sinc_() const { |
| 3326 | return at::_ops::sinc_::call(const_cast<Tensor&>(*this)); |
| 3327 | } |
| 3328 | |
| 3329 | // aten::sinh(Tensor self) -> Tensor |
| 3330 | inline at::Tensor Tensor::sinh() const { |
| 3331 | return at::_ops::sinh::call(const_cast<Tensor&>(*this)); |
| 3332 | } |
| 3333 | |
| 3334 | // aten::sinh_(Tensor(a!) self) -> Tensor(a!) |
| 3335 | inline at::Tensor & Tensor::sinh_() const { |
| 3336 | return at::_ops::sinh_::call(const_cast<Tensor&>(*this)); |
| 3337 | } |
| 3338 | |
| 3339 | // aten::detach(Tensor(a) self) -> Tensor(a) |
| 3340 | inline at::Tensor Tensor::detach() const { |
| 3341 | return at::_ops::detach::call(const_cast<Tensor&>(*this)); |
| 3342 | } |
| 3343 | |
| 3344 | // aten::detach_(Tensor(a!) self) -> Tensor(a!) |
| 3345 | inline at::Tensor & Tensor::detach_() const { |
| 3346 | return at::_ops::detach_::call(const_cast<Tensor&>(*this)); |
| 3347 | } |
| 3348 | |
| 3349 | // aten::size.Dimname(Tensor self, Dimname dim) -> int |
| 3350 | inline int64_t Tensor::size(at::Dimname dim) const { |
| 3351 | return at::_ops::size_Dimname::call(const_cast<Tensor&>(*this), dim); |
| 3352 | } |
| 3353 | |
| 3354 | // aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) |
| 3355 | inline at::Tensor Tensor::slice(int64_t dim, c10::optional<int64_t> start, c10::optional<int64_t> end, int64_t step) const { |
| 3356 | return at::_ops::slice_Tensor::call(const_cast<Tensor&>(*this), dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step); |
| 3357 | } |
| 3358 | |
| 3359 | // aten::slice.Tensor(Tensor(a) self, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor(a) |
| 3360 | inline at::Tensor Tensor::slice_symint(int64_t dim, c10::optional<c10::SymInt> start, c10::optional<c10::SymInt> end, c10::SymInt step) const { |
| 3361 | return at::_ops::slice_Tensor::call(const_cast<Tensor&>(*this), dim, start, end, step); |
| 3362 | } |
| 3363 | |
| 3364 | // aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor |
| 3365 | inline at::Tensor Tensor::slice_scatter(const at::Tensor & src, int64_t dim, c10::optional<int64_t> start, c10::optional<int64_t> end, int64_t step) const { |
| 3366 | return at::_ops::slice_scatter::call(const_cast<Tensor&>(*this), src, dim, start.has_value() ? c10::make_optional(c10::SymInt(*start)) : c10::nullopt, end.has_value() ? c10::make_optional(c10::SymInt(*end)) : c10::nullopt, step); |
| 3367 | } |
| 3368 | |
| 3369 | // aten::slice_scatter(Tensor self, Tensor src, int dim=0, SymInt? start=None, SymInt? end=None, SymInt step=1) -> Tensor |
| 3370 | inline at::Tensor Tensor::slice_scatter_symint(const at::Tensor & src, int64_t dim, c10::optional<c10::SymInt> start, c10::optional<c10::SymInt> end, c10::SymInt step) const { |
| 3371 | return at::_ops::slice_scatter::call(const_cast<Tensor&>(*this), src, dim, start, end, step); |
| 3372 | } |
| 3373 | |
| 3374 | // aten::select_scatter(Tensor self, Tensor src, int dim, SymInt index) -> Tensor |
| 3375 | inline at::Tensor Tensor::select_scatter(const at::Tensor & src, int64_t dim, int64_t index) const { |
| 3376 | return at::_ops::select_scatter::call(const_cast<Tensor&>(*this), src, dim, index); |
| 3377 | } |
| 3378 | |
| 3379 | // aten::select_scatter(Tensor self, Tensor src, int dim, SymInt index) -> Tensor |
| 3380 | inline at::Tensor Tensor::select_scatter_symint(const at::Tensor & src, int64_t dim, c10::SymInt index) const { |
| 3381 | return at::_ops::select_scatter::call(const_cast<Tensor&>(*this), src, dim, index); |
| 3382 | } |
| 3383 | |
| 3384 | // aten::diagonal_scatter(Tensor self, Tensor src, int offset=0, int dim1=0, int dim2=1) -> Tensor |
| 3385 | inline at::Tensor Tensor::diagonal_scatter(const at::Tensor & src, int64_t offset, int64_t dim1, int64_t dim2) const { |
| 3386 | return at::_ops::diagonal_scatter::call(const_cast<Tensor&>(*this), src, offset, dim1, dim2); |
| 3387 | } |
| 3388 | |
| 3389 | // aten::as_strided_scatter(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor |
| 3390 | inline at::Tensor Tensor::as_strided_scatter(const at::Tensor & src, at::IntArrayRef size, at::IntArrayRef stride, c10::optional<int64_t> storage_offset) const { |
| 3391 | return at::_ops::as_strided_scatter::call(const_cast<Tensor&>(*this), src, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride), storage_offset.has_value() ? c10::make_optional(c10::SymInt(*storage_offset)) : c10::nullopt); |
| 3392 | } |
| 3393 | |
| 3394 | // aten::as_strided_scatter(Tensor self, Tensor src, SymInt[] size, SymInt[] stride, SymInt? storage_offset=None) -> Tensor |
| 3395 | inline at::Tensor Tensor::as_strided_scatter_symint(const at::Tensor & src, c10::SymIntArrayRef size, c10::SymIntArrayRef stride, c10::optional<c10::SymInt> storage_offset) const { |
| 3396 | return at::_ops::as_strided_scatter::call(const_cast<Tensor&>(*this), src, size, stride, storage_offset); |
| 3397 | } |
| 3398 | |
| 3399 | // aten::smm(Tensor self, Tensor mat2) -> Tensor |
| 3400 | inline at::Tensor Tensor::smm(const at::Tensor & mat2) const { |
| 3401 | return at::_ops::smm::call(const_cast<Tensor&>(*this), mat2); |
| 3402 | } |
| 3403 | |
| 3404 | // aten::softmax.int(Tensor self, int dim, ScalarType? dtype=None) -> Tensor |
| 3405 | inline at::Tensor Tensor::softmax(int64_t dim, c10::optional<at::ScalarType> dtype) const { |
| 3406 | return at::_ops::softmax_int::call(const_cast<Tensor&>(*this), dim, dtype); |
| 3407 | } |
| 3408 | |
| 3409 | // aten::softmax.Dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor |
| 3410 | inline at::Tensor Tensor::softmax(at::Dimname dim, c10::optional<at::ScalarType> dtype) const { |
| 3411 | return at::_ops::softmax_Dimname::call(const_cast<Tensor&>(*this), dim, dtype); |
| 3412 | } |
| 3413 | |
| 3414 | // aten::unsafe_split.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[] |
| 3415 | inline ::std::vector<at::Tensor> Tensor::unsafe_split(int64_t split_size, int64_t dim) const { |
| 3416 | return at::_ops::unsafe_split_Tensor::call(const_cast<Tensor&>(*this), split_size, dim); |
| 3417 | } |
| 3418 | |
| 3419 | // aten::unsafe_split.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[] |
| 3420 | inline ::std::vector<at::Tensor> Tensor::unsafe_split_symint(c10::SymInt split_size, int64_t dim) const { |
| 3421 | return at::_ops::unsafe_split_Tensor::call(const_cast<Tensor&>(*this), split_size, dim); |
| 3422 | } |
| 3423 | |
| 3424 | // aten::split.Tensor(Tensor(a -> *) self, SymInt split_size, int dim=0) -> Tensor(a)[] |
| 3425 | inline ::std::vector<at::Tensor> Tensor::split(int64_t split_size, int64_t dim) const { |
| 3426 | return at::_ops::split_Tensor::call(const_cast<Tensor&>(*this), split_size, dim); |
| 3427 | } |
| 3428 | |
| 3429 | // aten::split.Tensor(Tensor(a -> *) self, SymInt split_size, int dim=0) -> Tensor(a)[] |
| 3430 | inline ::std::vector<at::Tensor> Tensor::split_symint(c10::SymInt split_size, int64_t dim) const { |
| 3431 | return at::_ops::split_Tensor::call(const_cast<Tensor&>(*this), split_size, dim); |
| 3432 | } |
| 3433 | |
| 3434 | // aten::split.sizes(Tensor(a -> *) self, SymInt[] split_size, int dim=0) -> Tensor(a)[] |
| 3435 | inline ::std::vector<at::Tensor> Tensor::split(at::IntArrayRef split_size, int64_t dim) const { |
| 3436 | return at::_ops::split_sizes::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(split_size), dim); |
| 3437 | } |
| 3438 | |
| 3439 | // aten::split.sizes(Tensor(a -> *) self, SymInt[] split_size, int dim=0) -> Tensor(a)[] |
| 3440 | inline ::std::vector<at::Tensor> Tensor::split_symint(c10::SymIntArrayRef split_size, int64_t dim) const { |
| 3441 | return at::_ops::split_sizes::call(const_cast<Tensor&>(*this), split_size, dim); |
| 3442 | } |
| 3443 | |
| 3444 | // aten::unsafe_split_with_sizes(Tensor self, SymInt[] split_sizes, int dim=0) -> Tensor[] |
| 3445 | inline ::std::vector<at::Tensor> Tensor::unsafe_split_with_sizes(at::IntArrayRef split_sizes, int64_t dim) const { |
| 3446 | return at::_ops::unsafe_split_with_sizes::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(split_sizes), dim); |
| 3447 | } |
| 3448 | |
| 3449 | // aten::unsafe_split_with_sizes(Tensor self, SymInt[] split_sizes, int dim=0) -> Tensor[] |
| 3450 | inline ::std::vector<at::Tensor> Tensor::unsafe_split_with_sizes_symint(c10::SymIntArrayRef split_sizes, int64_t dim) const { |
| 3451 | return at::_ops::unsafe_split_with_sizes::call(const_cast<Tensor&>(*this), split_sizes, dim); |
| 3452 | } |
| 3453 | |
| 3454 | // aten::split_with_sizes(Tensor(a -> *) self, SymInt[] split_sizes, int dim=0) -> Tensor(a)[] |
| 3455 | inline ::std::vector<at::Tensor> Tensor::split_with_sizes(at::IntArrayRef split_sizes, int64_t dim) const { |
| 3456 | return at::_ops::split_with_sizes::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(split_sizes), dim); |
| 3457 | } |
| 3458 | |
| 3459 | // aten::split_with_sizes(Tensor(a -> *) self, SymInt[] split_sizes, int dim=0) -> Tensor(a)[] |
| 3460 | inline ::std::vector<at::Tensor> Tensor::split_with_sizes_symint(c10::SymIntArrayRef split_sizes, int64_t dim) const { |
| 3461 | return at::_ops::split_with_sizes::call(const_cast<Tensor&>(*this), split_sizes, dim); |
| 3462 | } |
| 3463 | |
| 3464 | // aten::hsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[] |
| 3465 | inline ::std::vector<at::Tensor> Tensor::hsplit(int64_t sections) const { |
| 3466 | return at::_ops::hsplit_int::call(const_cast<Tensor&>(*this), sections); |
| 3467 | } |
| 3468 | |
| 3469 | // aten::hsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[] |
| 3470 | inline ::std::vector<at::Tensor> Tensor::hsplit(at::IntArrayRef indices) const { |
| 3471 | return at::_ops::hsplit_array::call(const_cast<Tensor&>(*this), indices); |
| 3472 | } |
| 3473 | |
| 3474 | // aten::vsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[] |
| 3475 | inline ::std::vector<at::Tensor> Tensor::vsplit(int64_t sections) const { |
| 3476 | return at::_ops::vsplit_int::call(const_cast<Tensor&>(*this), sections); |
| 3477 | } |
| 3478 | |
| 3479 | // aten::vsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[] |
| 3480 | inline ::std::vector<at::Tensor> Tensor::vsplit(at::IntArrayRef indices) const { |
| 3481 | return at::_ops::vsplit_array::call(const_cast<Tensor&>(*this), indices); |
| 3482 | } |
| 3483 | |
| 3484 | // aten::dsplit.int(Tensor(a -> *) self, int sections) -> Tensor(a)[] |
| 3485 | inline ::std::vector<at::Tensor> Tensor::dsplit(int64_t sections) const { |
| 3486 | return at::_ops::dsplit_int::call(const_cast<Tensor&>(*this), sections); |
| 3487 | } |
| 3488 | |
| 3489 | // aten::dsplit.array(Tensor(a -> *) self, int[] indices) -> Tensor(a)[] |
| 3490 | inline ::std::vector<at::Tensor> Tensor::dsplit(at::IntArrayRef indices) const { |
| 3491 | return at::_ops::dsplit_array::call(const_cast<Tensor&>(*this), indices); |
| 3492 | } |
| 3493 | |
| 3494 | // aten::squeeze(Tensor(a) self) -> Tensor(a) |
| 3495 | inline at::Tensor Tensor::squeeze() const { |
| 3496 | return at::_ops::squeeze::call(const_cast<Tensor&>(*this)); |
| 3497 | } |
| 3498 | |
| 3499 | // aten::squeeze.dim(Tensor(a) self, int dim) -> Tensor(a) |
| 3500 | inline at::Tensor Tensor::squeeze(int64_t dim) const { |
| 3501 | return at::_ops::squeeze_dim::call(const_cast<Tensor&>(*this), dim); |
| 3502 | } |
| 3503 | |
| 3504 | // aten::squeeze.dimname(Tensor(a) self, Dimname dim) -> Tensor(a) |
| 3505 | inline at::Tensor Tensor::squeeze(at::Dimname dim) const { |
| 3506 | return at::_ops::squeeze_dimname::call(const_cast<Tensor&>(*this), dim); |
| 3507 | } |
| 3508 | |
| 3509 | // aten::squeeze.dims(Tensor(a) self, int[] dim) -> Tensor(a) |
| 3510 | inline at::Tensor Tensor::squeeze(at::IntArrayRef dim) const { |
| 3511 | return at::_ops::squeeze_dims::call(const_cast<Tensor&>(*this), dim); |
| 3512 | } |
| 3513 | |
| 3514 | // aten::squeeze_(Tensor(a!) self) -> Tensor(a!) |
| 3515 | inline at::Tensor & Tensor::squeeze_() const { |
| 3516 | return at::_ops::squeeze_::call(const_cast<Tensor&>(*this)); |
| 3517 | } |
| 3518 | |
| 3519 | // aten::squeeze_.dim(Tensor(a!) self, int dim) -> Tensor(a!) |
| 3520 | inline at::Tensor & Tensor::squeeze_(int64_t dim) const { |
| 3521 | return at::_ops::squeeze__dim::call(const_cast<Tensor&>(*this), dim); |
| 3522 | } |
| 3523 | |
| 3524 | // aten::squeeze_.dims(Tensor(a!) self, int[] dim) -> Tensor(a!) |
| 3525 | inline at::Tensor & Tensor::squeeze_(at::IntArrayRef dim) const { |
| 3526 | return at::_ops::squeeze__dims::call(const_cast<Tensor&>(*this), dim); |
| 3527 | } |
| 3528 | |
| 3529 | // aten::squeeze_.dimname(Tensor(a!) self, Dimname dim) -> Tensor(a!) |
| 3530 | inline at::Tensor & Tensor::squeeze_(at::Dimname dim) const { |
| 3531 | return at::_ops::squeeze__dimname::call(const_cast<Tensor&>(*this), dim); |
| 3532 | } |
| 3533 | |
| 3534 | // aten::sspaddmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 3535 | inline at::Tensor Tensor::sspaddmm(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 3536 | return at::_ops::sspaddmm::call(const_cast<Tensor&>(*this), mat1, mat2, beta, alpha); |
| 3537 | } |
| 3538 | |
| 3539 | // aten::stft(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool normalized=False, bool? onesided=None, bool? return_complex=None) -> Tensor |
| 3540 | inline at::Tensor Tensor::stft(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) const { |
| 3541 | return at::_ops::stft::call(const_cast<Tensor&>(*this), n_fft, hop_length, win_length, window, normalized, onesided, return_complex); |
| 3542 | } |
| 3543 | |
| 3544 | // aten::stft.center(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool center=True, str pad_mode="reflect", bool normalized=False, bool? onesided=None, bool? return_complex=None) -> Tensor |
| 3545 | inline at::Tensor Tensor::stft(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) const { |
| 3546 | return at::_ops::stft_center::call(const_cast<Tensor&>(*this), n_fft, hop_length, win_length, window, center, pad_mode, normalized, onesided, return_complex); |
| 3547 | } |
| 3548 | |
| 3549 | // aten::istft(Tensor self, int n_fft, int? hop_length=None, int? win_length=None, Tensor? window=None, bool center=True, bool normalized=False, bool? onesided=None, int? length=None, bool return_complex=False) -> Tensor |
| 3550 | inline at::Tensor Tensor::istft(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) const { |
| 3551 | return at::_ops::istft::call(const_cast<Tensor&>(*this), n_fft, hop_length, win_length, window, center, normalized, onesided, length, return_complex); |
| 3552 | } |
| 3553 | |
| 3554 | // aten::stride.Dimname(Tensor self, Dimname dim) -> int |
| 3555 | inline int64_t Tensor::stride(at::Dimname dim) const { |
| 3556 | return at::_ops::stride_Dimname::call(const_cast<Tensor&>(*this), dim); |
| 3557 | } |
| 3558 | |
| 3559 | // aten::sum(Tensor self, *, ScalarType? dtype=None) -> Tensor |
| 3560 | inline at::Tensor Tensor::sum(c10::optional<at::ScalarType> dtype) const { |
| 3561 | return at::_ops::sum::call(const_cast<Tensor&>(*this), dtype); |
| 3562 | } |
| 3563 | |
| 3564 | // aten::sum.dim_IntList(Tensor self, int[1]? dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 3565 | inline at::Tensor Tensor::sum(at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 3566 | return at::_ops::sum_dim_IntList::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 3567 | } |
| 3568 | |
| 3569 | // aten::sum.dim_DimnameList(Tensor self, Dimname[1] dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 3570 | inline at::Tensor Tensor::sum(at::DimnameList dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 3571 | return at::_ops::sum_dim_DimnameList::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 3572 | } |
| 3573 | |
| 3574 | // aten::nansum(Tensor self, int[1]? dim=None, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 3575 | inline at::Tensor Tensor::nansum(at::OptionalIntArrayRef dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 3576 | return at::_ops::nansum::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 3577 | } |
| 3578 | |
| 3579 | // aten::sum_to_size(Tensor self, int[] size) -> Tensor |
| 3580 | inline at::Tensor Tensor::sum_to_size(at::IntArrayRef size) const { |
| 3581 | return at::_ops::sum_to_size::call(const_cast<Tensor&>(*this), size); |
| 3582 | } |
| 3583 | |
| 3584 | // aten::sqrt(Tensor self) -> Tensor |
| 3585 | inline at::Tensor Tensor::sqrt() const { |
| 3586 | return at::_ops::sqrt::call(const_cast<Tensor&>(*this)); |
| 3587 | } |
| 3588 | |
| 3589 | // aten::sqrt_(Tensor(a!) self) -> Tensor(a!) |
| 3590 | inline at::Tensor & Tensor::sqrt_() const { |
| 3591 | return at::_ops::sqrt_::call(const_cast<Tensor&>(*this)); |
| 3592 | } |
| 3593 | |
| 3594 | // aten::square(Tensor self) -> Tensor |
| 3595 | inline at::Tensor Tensor::square() const { |
| 3596 | return at::_ops::square::call(const_cast<Tensor&>(*this)); |
| 3597 | } |
| 3598 | |
| 3599 | // aten::square_(Tensor(a!) self) -> Tensor(a!) |
| 3600 | inline at::Tensor & Tensor::square_() const { |
| 3601 | return at::_ops::square_::call(const_cast<Tensor&>(*this)); |
| 3602 | } |
| 3603 | |
| 3604 | // aten::std(Tensor self, bool unbiased=True) -> Tensor |
| 3605 | inline at::Tensor Tensor::std(bool unbiased) const { |
| 3606 | return at::_ops::std::call(const_cast<Tensor&>(*this), unbiased); |
| 3607 | } |
| 3608 | |
| 3609 | // aten::std.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 3610 | inline at::Tensor Tensor::std(at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) const { |
| 3611 | return at::_ops::std_dim::call(const_cast<Tensor&>(*this), dim, unbiased, keepdim); |
| 3612 | } |
| 3613 | |
| 3614 | // aten::std.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor |
| 3615 | inline at::Tensor Tensor::std(at::OptionalIntArrayRef dim, c10::optional<int64_t> correction, bool keepdim) const { |
| 3616 | return at::_ops::std_correction::call(const_cast<Tensor&>(*this), dim, correction, keepdim); |
| 3617 | } |
| 3618 | |
| 3619 | // aten::std.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 3620 | inline at::Tensor Tensor::std(at::DimnameList dim, bool unbiased, bool keepdim) const { |
| 3621 | return at::_ops::std_names_dim::call(const_cast<Tensor&>(*this), dim, unbiased, keepdim); |
| 3622 | } |
| 3623 | |
| 3624 | // aten::std.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor |
| 3625 | inline at::Tensor Tensor::std(at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) const { |
| 3626 | return at::_ops::std_correction_names::call(const_cast<Tensor&>(*this), dim, correction, keepdim); |
| 3627 | } |
| 3628 | |
| 3629 | // aten::prod(Tensor self, *, ScalarType? dtype=None) -> Tensor |
| 3630 | inline at::Tensor Tensor::prod(c10::optional<at::ScalarType> dtype) const { |
| 3631 | return at::_ops::prod::call(const_cast<Tensor&>(*this), dtype); |
| 3632 | } |
| 3633 | |
| 3634 | // aten::prod.dim_int(Tensor self, int dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 3635 | inline at::Tensor Tensor::prod(int64_t dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 3636 | return at::_ops::prod_dim_int::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 3637 | } |
| 3638 | |
| 3639 | // aten::prod.dim_Dimname(Tensor self, Dimname dim, bool keepdim=False, *, ScalarType? dtype=None) -> Tensor |
| 3640 | inline at::Tensor Tensor::prod(at::Dimname dim, bool keepdim, c10::optional<at::ScalarType> dtype) const { |
| 3641 | return at::_ops::prod_dim_Dimname::call(const_cast<Tensor&>(*this), dim, keepdim, dtype); |
| 3642 | } |
| 3643 | |
| 3644 | // aten::t(Tensor(a) self) -> Tensor(a) |
| 3645 | inline at::Tensor Tensor::t() const { |
| 3646 | return at::_ops::t::call(const_cast<Tensor&>(*this)); |
| 3647 | } |
| 3648 | |
| 3649 | // aten::t_(Tensor(a!) self) -> Tensor(a!) |
| 3650 | inline at::Tensor & Tensor::t_() const { |
| 3651 | return at::_ops::t_::call(const_cast<Tensor&>(*this)); |
| 3652 | } |
| 3653 | |
| 3654 | // aten::tan(Tensor self) -> Tensor |
| 3655 | inline at::Tensor Tensor::tan() const { |
| 3656 | return at::_ops::tan::call(const_cast<Tensor&>(*this)); |
| 3657 | } |
| 3658 | |
| 3659 | // aten::tan_(Tensor(a!) self) -> Tensor(a!) |
| 3660 | inline at::Tensor & Tensor::tan_() const { |
| 3661 | return at::_ops::tan_::call(const_cast<Tensor&>(*this)); |
| 3662 | } |
| 3663 | |
| 3664 | // aten::tanh(Tensor self) -> Tensor |
| 3665 | inline at::Tensor Tensor::tanh() const { |
| 3666 | return at::_ops::tanh::call(const_cast<Tensor&>(*this)); |
| 3667 | } |
| 3668 | |
| 3669 | // aten::tanh_(Tensor(a!) self) -> Tensor(a!) |
| 3670 | inline at::Tensor & Tensor::tanh_() const { |
| 3671 | return at::_ops::tanh_::call(const_cast<Tensor&>(*this)); |
| 3672 | } |
| 3673 | |
| 3674 | // aten::tile(Tensor self, int[] dims) -> Tensor |
| 3675 | inline at::Tensor Tensor::tile(at::IntArrayRef dims) const { |
| 3676 | return at::_ops::tile::call(const_cast<Tensor&>(*this), dims); |
| 3677 | } |
| 3678 | |
| 3679 | // aten::transpose.int(Tensor(a) self, int dim0, int dim1) -> Tensor(a) |
| 3680 | inline at::Tensor Tensor::transpose(int64_t dim0, int64_t dim1) const { |
| 3681 | return at::_ops::transpose_int::call(const_cast<Tensor&>(*this), dim0, dim1); |
| 3682 | } |
| 3683 | |
| 3684 | // aten::transpose.Dimname(Tensor(a) self, Dimname dim0, Dimname dim1) -> Tensor(a) |
| 3685 | inline at::Tensor Tensor::transpose(at::Dimname dim0, at::Dimname dim1) const { |
| 3686 | return at::_ops::transpose_Dimname::call(const_cast<Tensor&>(*this), dim0, dim1); |
| 3687 | } |
| 3688 | |
| 3689 | // aten::transpose_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!) |
| 3690 | inline at::Tensor & Tensor::transpose_(int64_t dim0, int64_t dim1) const { |
| 3691 | return at::_ops::transpose_::call(const_cast<Tensor&>(*this), dim0, dim1); |
| 3692 | } |
| 3693 | |
| 3694 | // aten::flip(Tensor self, int[] dims) -> Tensor |
| 3695 | inline at::Tensor Tensor::flip(at::IntArrayRef dims) const { |
| 3696 | return at::_ops::flip::call(const_cast<Tensor&>(*this), dims); |
| 3697 | } |
| 3698 | |
| 3699 | // aten::fliplr(Tensor self) -> Tensor |
| 3700 | inline at::Tensor Tensor::fliplr() const { |
| 3701 | return at::_ops::fliplr::call(const_cast<Tensor&>(*this)); |
| 3702 | } |
| 3703 | |
| 3704 | // aten::flipud(Tensor self) -> Tensor |
| 3705 | inline at::Tensor Tensor::flipud() const { |
| 3706 | return at::_ops::flipud::call(const_cast<Tensor&>(*this)); |
| 3707 | } |
| 3708 | |
| 3709 | // aten::roll(Tensor self, int[1] shifts, int[1] dims=[]) -> Tensor |
| 3710 | inline at::Tensor Tensor::roll(at::IntArrayRef shifts, at::IntArrayRef dims) const { |
| 3711 | return at::_ops::roll::call(const_cast<Tensor&>(*this), shifts, dims); |
| 3712 | } |
| 3713 | |
| 3714 | // aten::rot90(Tensor self, int k=1, int[] dims=[0,1]) -> Tensor |
| 3715 | inline at::Tensor Tensor::rot90(int64_t k, at::IntArrayRef dims) const { |
| 3716 | return at::_ops::rot90::call(const_cast<Tensor&>(*this), k, dims); |
| 3717 | } |
| 3718 | |
| 3719 | // aten::_nested_tensor_size(Tensor self) -> Tensor |
| 3720 | inline at::Tensor Tensor::_nested_tensor_size() const { |
| 3721 | return at::_ops::_nested_tensor_size::call(const_cast<Tensor&>(*this)); |
| 3722 | } |
| 3723 | |
| 3724 | // aten::_nested_tensor_strides(Tensor self) -> Tensor |
| 3725 | inline at::Tensor Tensor::_nested_tensor_strides() const { |
| 3726 | return at::_ops::_nested_tensor_strides::call(const_cast<Tensor&>(*this)); |
| 3727 | } |
| 3728 | |
| 3729 | // aten::_nested_tensor_offsets(Tensor self) -> int[] |
| 3730 | inline ::std::vector<int64_t> Tensor::_nested_tensor_offsets() const { |
| 3731 | return at::_ops::_nested_tensor_offsets::call(const_cast<Tensor&>(*this)); |
| 3732 | } |
| 3733 | |
| 3734 | // aten::trunc(Tensor self) -> Tensor |
| 3735 | inline at::Tensor Tensor::trunc() const { |
| 3736 | return at::_ops::trunc::call(const_cast<Tensor&>(*this)); |
| 3737 | } |
| 3738 | |
| 3739 | // aten::trunc_(Tensor(a!) self) -> Tensor(a!) |
| 3740 | inline at::Tensor & Tensor::trunc_() const { |
| 3741 | return at::_ops::trunc_::call(const_cast<Tensor&>(*this)); |
| 3742 | } |
| 3743 | |
| 3744 | // aten::fix(Tensor self) -> Tensor |
| 3745 | inline at::Tensor Tensor::fix() const { |
| 3746 | return at::_ops::fix::call(const_cast<Tensor&>(*this)); |
| 3747 | } |
| 3748 | |
| 3749 | // aten::fix_(Tensor(a!) self) -> Tensor(a!) |
| 3750 | inline at::Tensor & Tensor::fix_() const { |
| 3751 | return at::_ops::fix_::call(const_cast<Tensor&>(*this)); |
| 3752 | } |
| 3753 | |
| 3754 | // aten::type_as(Tensor self, Tensor other) -> Tensor |
| 3755 | inline at::Tensor Tensor::type_as(const at::Tensor & other) const { |
| 3756 | return at::_ops::type_as::call(const_cast<Tensor&>(*this), other); |
| 3757 | } |
| 3758 | |
| 3759 | // aten::unsqueeze(Tensor(a) self, int dim) -> Tensor(a) |
| 3760 | inline at::Tensor Tensor::unsqueeze(int64_t dim) const { |
| 3761 | return at::_ops::unsqueeze::call(const_cast<Tensor&>(*this), dim); |
| 3762 | } |
| 3763 | |
| 3764 | // aten::unsqueeze_(Tensor(a!) self, int dim) -> Tensor(a!) |
| 3765 | inline at::Tensor & Tensor::unsqueeze_(int64_t dim) const { |
| 3766 | return at::_ops::unsqueeze_::call(const_cast<Tensor&>(*this), dim); |
| 3767 | } |
| 3768 | |
| 3769 | // aten::var(Tensor self, bool unbiased=True) -> Tensor |
| 3770 | inline at::Tensor Tensor::var(bool unbiased) const { |
| 3771 | return at::_ops::var::call(const_cast<Tensor&>(*this), unbiased); |
| 3772 | } |
| 3773 | |
| 3774 | // aten::var.dim(Tensor self, int[1]? dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 3775 | inline at::Tensor Tensor::var(at::OptionalIntArrayRef dim, bool unbiased, bool keepdim) const { |
| 3776 | return at::_ops::var_dim::call(const_cast<Tensor&>(*this), dim, unbiased, keepdim); |
| 3777 | } |
| 3778 | |
| 3779 | // aten::var.correction(Tensor self, int[1]? dim=None, *, int? correction=None, bool keepdim=False) -> Tensor |
| 3780 | inline at::Tensor Tensor::var(at::OptionalIntArrayRef dim, c10::optional<int64_t> correction, bool keepdim) const { |
| 3781 | return at::_ops::var_correction::call(const_cast<Tensor&>(*this), dim, correction, keepdim); |
| 3782 | } |
| 3783 | |
| 3784 | // aten::var.names_dim(Tensor self, Dimname[1] dim, bool unbiased=True, bool keepdim=False) -> Tensor |
| 3785 | inline at::Tensor Tensor::var(at::DimnameList dim, bool unbiased, bool keepdim) const { |
| 3786 | return at::_ops::var_names_dim::call(const_cast<Tensor&>(*this), dim, unbiased, keepdim); |
| 3787 | } |
| 3788 | |
| 3789 | // aten::var.correction_names(Tensor self, Dimname[1] dim, *, int? correction=None, bool keepdim=False) -> Tensor |
| 3790 | inline at::Tensor Tensor::var(at::DimnameList dim, c10::optional<int64_t> correction, bool keepdim) const { |
| 3791 | return at::_ops::var_correction_names::call(const_cast<Tensor&>(*this), dim, correction, keepdim); |
| 3792 | } |
| 3793 | |
| 3794 | // aten::view_as(Tensor(a) self, Tensor other) -> Tensor(a) |
| 3795 | inline at::Tensor Tensor::view_as(const at::Tensor & other) const { |
| 3796 | return at::_ops::view_as::call(const_cast<Tensor&>(*this), other); |
| 3797 | } |
| 3798 | |
| 3799 | // aten::where.self(Tensor condition, Tensor self, Tensor other) -> Tensor |
| 3800 | inline at::Tensor Tensor::where(const at::Tensor & condition, const at::Tensor & other) const { |
| 3801 | return at::_ops::where_self::call(condition, const_cast<Tensor&>(*this), other); |
| 3802 | } |
| 3803 | |
| 3804 | // aten::where.ScalarOther(Tensor condition, Tensor self, Scalar other) -> Tensor |
| 3805 | inline at::Tensor Tensor::where(const at::Tensor & condition, const at::Scalar & other) const { |
| 3806 | return at::_ops::where_ScalarOther::call(condition, const_cast<Tensor&>(*this), other); |
| 3807 | } |
| 3808 | |
| 3809 | // aten::norm.ScalarOpt_dtype(Tensor self, Scalar? p, *, ScalarType dtype) -> Tensor |
| 3810 | inline at::Tensor Tensor::norm(const c10::optional<at::Scalar> & p, at::ScalarType dtype) const { |
| 3811 | return at::_ops::norm_ScalarOpt_dtype::call(const_cast<Tensor&>(*this), p, dtype); |
| 3812 | } |
| 3813 | |
| 3814 | // aten::norm.Scalar(Tensor self, Scalar p=2) -> Tensor |
| 3815 | inline at::Tensor Tensor::norm(const at::Scalar & p) const { |
| 3816 | return at::_ops::norm_Scalar::call(const_cast<Tensor&>(*this), p); |
| 3817 | } |
| 3818 | |
| 3819 | // aten::norm.ScalarOpt_dim_dtype(Tensor self, Scalar? p, int[1] dim, bool keepdim, *, ScalarType dtype) -> Tensor |
| 3820 | inline at::Tensor Tensor::norm(const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim, at::ScalarType dtype) const { |
| 3821 | return at::_ops::norm_ScalarOpt_dim_dtype::call(const_cast<Tensor&>(*this), p, dim, keepdim, dtype); |
| 3822 | } |
| 3823 | |
| 3824 | // aten::norm.ScalarOpt_dim(Tensor self, Scalar? p, int[1] dim, bool keepdim=False) -> Tensor |
| 3825 | inline at::Tensor Tensor::norm(const c10::optional<at::Scalar> & p, at::IntArrayRef dim, bool keepdim) const { |
| 3826 | return at::_ops::norm_ScalarOpt_dim::call(const_cast<Tensor&>(*this), p, dim, keepdim); |
| 3827 | } |
| 3828 | |
| 3829 | // aten::norm.names_ScalarOpt_dim_dtype(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim, *, ScalarType dtype) -> Tensor |
| 3830 | inline at::Tensor Tensor::norm(const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim, at::ScalarType dtype) const { |
| 3831 | return at::_ops::norm_names_ScalarOpt_dim_dtype::call(const_cast<Tensor&>(*this), p, dim, keepdim, dtype); |
| 3832 | } |
| 3833 | |
| 3834 | // aten::norm.names_ScalarOpt_dim(Tensor self, Scalar? p, Dimname[1] dim, bool keepdim=False) -> Tensor |
| 3835 | inline at::Tensor Tensor::norm(const c10::optional<at::Scalar> & p, at::DimnameList dim, bool keepdim) const { |
| 3836 | return at::_ops::norm_names_ScalarOpt_dim::call(const_cast<Tensor&>(*this), p, dim, keepdim); |
| 3837 | } |
| 3838 | |
| 3839 | // aten::frexp.Tensor(Tensor self) -> (Tensor mantissa, Tensor exponent) |
| 3840 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::frexp() const { |
| 3841 | return at::_ops::frexp_Tensor::call(const_cast<Tensor&>(*this)); |
| 3842 | } |
| 3843 | |
| 3844 | // aten::clone(Tensor self, *, MemoryFormat? memory_format=None) -> Tensor |
| 3845 | inline at::Tensor Tensor::clone(c10::optional<at::MemoryFormat> memory_format) const { |
| 3846 | return at::_ops::clone::call(const_cast<Tensor&>(*this), memory_format); |
| 3847 | } |
| 3848 | |
| 3849 | // aten::positive(Tensor(a) self) -> Tensor(a) |
| 3850 | inline at::Tensor Tensor::positive() const { |
| 3851 | return at::_ops::positive::call(const_cast<Tensor&>(*this)); |
| 3852 | } |
| 3853 | |
| 3854 | // aten::resize_as_(Tensor(a!) self, Tensor the_template, *, MemoryFormat? memory_format=None) -> Tensor(a!) |
| 3855 | inline const at::Tensor & Tensor::resize_as_(const at::Tensor & the_template, c10::optional<at::MemoryFormat> memory_format) const { |
| 3856 | return at::_ops::resize_as_::call(const_cast<Tensor&>(*this), the_template, memory_format); |
| 3857 | } |
| 3858 | |
| 3859 | // aten::resize_as_sparse_(Tensor(a!) self, Tensor the_template) -> Tensor(a!) |
| 3860 | inline const at::Tensor & Tensor::resize_as_sparse_(const at::Tensor & the_template) const { |
| 3861 | return at::_ops::resize_as_sparse_::call(const_cast<Tensor&>(*this), the_template); |
| 3862 | } |
| 3863 | |
| 3864 | // aten::zero_(Tensor(a!) self) -> Tensor(a!) |
| 3865 | inline at::Tensor & Tensor::zero_() const { |
| 3866 | return at::_ops::zero_::call(const_cast<Tensor&>(*this)); |
| 3867 | } |
| 3868 | |
| 3869 | // aten::sub.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 3870 | inline at::Tensor Tensor::sub(const at::Tensor & other, const at::Scalar & alpha) const { |
| 3871 | return at::_ops::sub_Tensor::call(const_cast<Tensor&>(*this), other, alpha); |
| 3872 | } |
| 3873 | |
| 3874 | // aten::sub_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) |
| 3875 | inline at::Tensor & Tensor::sub_(const at::Tensor & other, const at::Scalar & alpha) const { |
| 3876 | return at::_ops::sub__Tensor::call(const_cast<Tensor&>(*this), other, alpha); |
| 3877 | } |
| 3878 | |
| 3879 | // aten::sub.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 3880 | inline at::Tensor Tensor::sub(const at::Scalar & other, const at::Scalar & alpha) const { |
| 3881 | return at::_ops::sub_Scalar::call(const_cast<Tensor&>(*this), other, alpha); |
| 3882 | } |
| 3883 | |
| 3884 | // aten::sub_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!) |
| 3885 | inline at::Tensor & Tensor::sub_(const at::Scalar & other, const at::Scalar & alpha) const { |
| 3886 | return at::_ops::sub__Scalar::call(const_cast<Tensor&>(*this), other, alpha); |
| 3887 | } |
| 3888 | |
| 3889 | // aten::subtract.Tensor(Tensor self, Tensor other, *, Scalar alpha=1) -> Tensor |
| 3890 | inline at::Tensor Tensor::subtract(const at::Tensor & other, const at::Scalar & alpha) const { |
| 3891 | return at::_ops::subtract_Tensor::call(const_cast<Tensor&>(*this), other, alpha); |
| 3892 | } |
| 3893 | |
| 3894 | // aten::subtract_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!) |
| 3895 | inline at::Tensor & Tensor::subtract_(const at::Tensor & other, const at::Scalar & alpha) const { |
| 3896 | return at::_ops::subtract__Tensor::call(const_cast<Tensor&>(*this), other, alpha); |
| 3897 | } |
| 3898 | |
| 3899 | // aten::subtract.Scalar(Tensor self, Scalar other, Scalar alpha=1) -> Tensor |
| 3900 | inline at::Tensor Tensor::subtract(const at::Scalar & other, const at::Scalar & alpha) const { |
| 3901 | return at::_ops::subtract_Scalar::call(const_cast<Tensor&>(*this), other, alpha); |
| 3902 | } |
| 3903 | |
| 3904 | // aten::subtract_.Scalar(Tensor(a!) self, Scalar other, Scalar alpha=1) -> Tensor(a!) |
| 3905 | inline at::Tensor & Tensor::subtract_(const at::Scalar & other, const at::Scalar & alpha) const { |
| 3906 | return at::_ops::subtract__Scalar::call(const_cast<Tensor&>(*this), other, alpha); |
| 3907 | } |
| 3908 | |
| 3909 | // aten::heaviside(Tensor self, Tensor values) -> Tensor |
| 3910 | inline at::Tensor Tensor::heaviside(const at::Tensor & values) const { |
| 3911 | return at::_ops::heaviside::call(const_cast<Tensor&>(*this), values); |
| 3912 | } |
| 3913 | |
| 3914 | // aten::heaviside_(Tensor(a!) self, Tensor values) -> Tensor(a!) |
| 3915 | inline at::Tensor & Tensor::heaviside_(const at::Tensor & values) const { |
| 3916 | return at::_ops::heaviside_::call(const_cast<Tensor&>(*this), values); |
| 3917 | } |
| 3918 | |
| 3919 | // aten::addmm(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 3920 | inline at::Tensor Tensor::addmm(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 3921 | return at::_ops::addmm::call(const_cast<Tensor&>(*this), mat1, mat2, beta, alpha); |
| 3922 | } |
| 3923 | |
| 3924 | // aten::addmm_(Tensor(a!) self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 3925 | inline at::Tensor & Tensor::addmm_(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 3926 | return at::_ops::addmm_::call(const_cast<Tensor&>(*this), mat1, mat2, beta, alpha); |
| 3927 | } |
| 3928 | |
| 3929 | // aten::_addmm_activation(Tensor self, Tensor mat1, Tensor mat2, *, Scalar beta=1, Scalar alpha=1, bool use_gelu=False) -> Tensor |
| 3930 | inline at::Tensor Tensor::_addmm_activation(const at::Tensor & mat1, const at::Tensor & mat2, const at::Scalar & beta, const at::Scalar & alpha, bool use_gelu) const { |
| 3931 | return at::_ops::_addmm_activation::call(const_cast<Tensor&>(*this), mat1, mat2, beta, alpha, use_gelu); |
| 3932 | } |
| 3933 | |
| 3934 | // aten::sparse_resize_(Tensor(a!) self, int[] size, int sparse_dim, int dense_dim) -> Tensor(a!) |
| 3935 | inline const at::Tensor & Tensor::sparse_resize_(at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) const { |
| 3936 | return at::_ops::sparse_resize_::call(const_cast<Tensor&>(*this), size, sparse_dim, dense_dim); |
| 3937 | } |
| 3938 | |
| 3939 | // aten::sparse_resize_and_clear_(Tensor(a!) self, int[] size, int sparse_dim, int dense_dim) -> Tensor(a!) |
| 3940 | inline const at::Tensor & Tensor::sparse_resize_and_clear_(at::IntArrayRef size, int64_t sparse_dim, int64_t dense_dim) const { |
| 3941 | return at::_ops::sparse_resize_and_clear_::call(const_cast<Tensor&>(*this), size, sparse_dim, dense_dim); |
| 3942 | } |
| 3943 | |
| 3944 | // aten::sparse_mask(Tensor self, Tensor mask) -> Tensor |
| 3945 | inline at::Tensor Tensor::sparse_mask(const at::Tensor & mask) const { |
| 3946 | return at::_ops::sparse_mask::call(const_cast<Tensor&>(*this), mask); |
| 3947 | } |
| 3948 | |
| 3949 | // aten::to_dense(Tensor self, ScalarType? dtype=None) -> Tensor |
| 3950 | inline at::Tensor Tensor::to_dense(c10::optional<at::ScalarType> dtype) const { |
| 3951 | return at::_ops::to_dense::call(const_cast<Tensor&>(*this), dtype); |
| 3952 | } |
| 3953 | |
| 3954 | // aten::_to_dense(Tensor self, ScalarType? dtype=None) -> Tensor |
| 3955 | inline at::Tensor Tensor::_to_dense(c10::optional<at::ScalarType> dtype) const { |
| 3956 | return at::_ops::_to_dense::call(const_cast<Tensor&>(*this), dtype); |
| 3957 | } |
| 3958 | |
| 3959 | // aten::sparse_dim(Tensor self) -> int |
| 3960 | inline int64_t Tensor::sparse_dim() const { |
| 3961 | return at::_ops::sparse_dim::call(const_cast<Tensor&>(*this)); |
| 3962 | } |
| 3963 | |
| 3964 | // aten::_dimI(Tensor self) -> int |
| 3965 | inline int64_t Tensor::_dimI() const { |
| 3966 | return at::_ops::_dimI::call(const_cast<Tensor&>(*this)); |
| 3967 | } |
| 3968 | |
| 3969 | // aten::dense_dim(Tensor self) -> int |
| 3970 | inline int64_t Tensor::dense_dim() const { |
| 3971 | return at::_ops::dense_dim::call(const_cast<Tensor&>(*this)); |
| 3972 | } |
| 3973 | |
| 3974 | // aten::_dimV(Tensor self) -> int |
| 3975 | inline int64_t Tensor::_dimV() const { |
| 3976 | return at::_ops::_dimV::call(const_cast<Tensor&>(*this)); |
| 3977 | } |
| 3978 | |
| 3979 | // aten::_nnz(Tensor self) -> int |
| 3980 | inline int64_t Tensor::_nnz() const { |
| 3981 | return at::_ops::_nnz::call(const_cast<Tensor&>(*this)); |
| 3982 | } |
| 3983 | |
| 3984 | // aten::coalesce(Tensor(a) self) -> Tensor(a) |
| 3985 | inline at::Tensor Tensor::coalesce() const { |
| 3986 | return at::_ops::coalesce::call(const_cast<Tensor&>(*this)); |
| 3987 | } |
| 3988 | |
| 3989 | // aten::is_coalesced(Tensor self) -> bool |
| 3990 | inline bool Tensor::is_coalesced() const { |
| 3991 | return at::_ops::is_coalesced::call(const_cast<Tensor&>(*this)); |
| 3992 | } |
| 3993 | |
| 3994 | // aten::_indices(Tensor(a) self) -> Tensor(a) |
| 3995 | inline at::Tensor Tensor::_indices() const { |
| 3996 | return at::_ops::_indices::call(const_cast<Tensor&>(*this)); |
| 3997 | } |
| 3998 | |
| 3999 | // aten::_values(Tensor(a) self) -> Tensor(a) |
| 4000 | inline at::Tensor Tensor::_values() const { |
| 4001 | return at::_ops::_values::call(const_cast<Tensor&>(*this)); |
| 4002 | } |
| 4003 | |
| 4004 | // aten::_coalesced_(Tensor(a!) self, bool coalesced) -> Tensor(a!) |
| 4005 | inline at::Tensor & Tensor::_coalesced_(bool coalesced) const { |
| 4006 | return at::_ops::_coalesced_::call(const_cast<Tensor&>(*this), coalesced); |
| 4007 | } |
| 4008 | |
| 4009 | // aten::indices(Tensor(a) self) -> Tensor(a) |
| 4010 | inline at::Tensor Tensor::indices() const { |
| 4011 | return at::_ops::indices::call(const_cast<Tensor&>(*this)); |
| 4012 | } |
| 4013 | |
| 4014 | // aten::values(Tensor(a) self) -> Tensor(a) |
| 4015 | inline at::Tensor Tensor::values() const { |
| 4016 | return at::_ops::values::call(const_cast<Tensor&>(*this)); |
| 4017 | } |
| 4018 | |
| 4019 | // aten::crow_indices(Tensor(a) self) -> Tensor(a) |
| 4020 | inline at::Tensor Tensor::crow_indices() const { |
| 4021 | return at::_ops::crow_indices::call(const_cast<Tensor&>(*this)); |
| 4022 | } |
| 4023 | |
| 4024 | // aten::col_indices(Tensor(a) self) -> Tensor(a) |
| 4025 | inline at::Tensor Tensor::col_indices() const { |
| 4026 | return at::_ops::col_indices::call(const_cast<Tensor&>(*this)); |
| 4027 | } |
| 4028 | |
| 4029 | // aten::ccol_indices(Tensor(a) self) -> Tensor(a) |
| 4030 | inline at::Tensor Tensor::ccol_indices() const { |
| 4031 | return at::_ops::ccol_indices::call(const_cast<Tensor&>(*this)); |
| 4032 | } |
| 4033 | |
| 4034 | // aten::row_indices(Tensor(a) self) -> Tensor(a) |
| 4035 | inline at::Tensor Tensor::row_indices() const { |
| 4036 | return at::_ops::row_indices::call(const_cast<Tensor&>(*this)); |
| 4037 | } |
| 4038 | |
| 4039 | // aten::unbind.int(Tensor(a -> *) self, int dim=0) -> Tensor(a)[] |
| 4040 | inline ::std::vector<at::Tensor> Tensor::unbind(int64_t dim) const { |
| 4041 | return at::_ops::unbind_int::call(const_cast<Tensor&>(*this), dim); |
| 4042 | } |
| 4043 | |
| 4044 | // aten::unbind.Dimname(Tensor(a -> *) self, Dimname dim) -> Tensor(a)[] |
| 4045 | inline ::std::vector<at::Tensor> Tensor::unbind(at::Dimname dim) const { |
| 4046 | return at::_ops::unbind_Dimname::call(const_cast<Tensor&>(*this), dim); |
| 4047 | } |
| 4048 | |
| 4049 | // aten::to_sparse.sparse_dim(Tensor self, int sparse_dim) -> Tensor |
| 4050 | inline at::Tensor Tensor::to_sparse(int64_t sparse_dim) const { |
| 4051 | return at::_ops::to_sparse_sparse_dim::call(const_cast<Tensor&>(*this), sparse_dim); |
| 4052 | } |
| 4053 | |
| 4054 | // aten::to_sparse(Tensor self, *, Layout? layout=None, int[2]? blocksize=None, int? dense_dim=None) -> Tensor |
| 4055 | inline at::Tensor Tensor::to_sparse(c10::optional<at::Layout> layout, at::OptionalIntArrayRef blocksize, c10::optional<int64_t> dense_dim) const { |
| 4056 | return at::_ops::to_sparse::call(const_cast<Tensor&>(*this), layout, blocksize, dense_dim); |
| 4057 | } |
| 4058 | |
| 4059 | // aten::to_sparse_csr(Tensor self, int? dense_dim=None) -> Tensor |
| 4060 | inline at::Tensor Tensor::to_sparse_csr(c10::optional<int64_t> dense_dim) const { |
| 4061 | return at::_ops::to_sparse_csr::call(const_cast<Tensor&>(*this), dense_dim); |
| 4062 | } |
| 4063 | |
| 4064 | // aten::to_sparse_csc(Tensor self, int? dense_dim=None) -> Tensor |
| 4065 | inline at::Tensor Tensor::to_sparse_csc(c10::optional<int64_t> dense_dim) const { |
| 4066 | return at::_ops::to_sparse_csc::call(const_cast<Tensor&>(*this), dense_dim); |
| 4067 | } |
| 4068 | |
| 4069 | // aten::to_sparse_bsr(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor |
| 4070 | inline at::Tensor Tensor::to_sparse_bsr(at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim) const { |
| 4071 | return at::_ops::to_sparse_bsr::call(const_cast<Tensor&>(*this), blocksize, dense_dim); |
| 4072 | } |
| 4073 | |
| 4074 | // aten::to_sparse_bsc(Tensor self, int[2] blocksize, int? dense_dim=None) -> Tensor |
| 4075 | inline at::Tensor Tensor::to_sparse_bsc(at::IntArrayRef blocksize, c10::optional<int64_t> dense_dim) const { |
| 4076 | return at::_ops::to_sparse_bsc::call(const_cast<Tensor&>(*this), blocksize, dense_dim); |
| 4077 | } |
| 4078 | |
| 4079 | // aten::to_mkldnn(Tensor self, ScalarType? dtype=None) -> Tensor |
| 4080 | inline at::Tensor Tensor::to_mkldnn(c10::optional<at::ScalarType> dtype) const { |
| 4081 | return at::_ops::to_mkldnn::call(const_cast<Tensor&>(*this), dtype); |
| 4082 | } |
| 4083 | |
| 4084 | // aten::dequantize.self(Tensor self) -> Tensor |
| 4085 | inline at::Tensor Tensor::dequantize() const { |
| 4086 | return at::_ops::dequantize_self::call(const_cast<Tensor&>(*this)); |
| 4087 | } |
| 4088 | |
| 4089 | // aten::q_scale(Tensor self) -> float |
| 4090 | inline double Tensor::q_scale() const { |
| 4091 | return at::_ops::q_scale::call(const_cast<Tensor&>(*this)); |
| 4092 | } |
| 4093 | |
| 4094 | // aten::q_zero_point(Tensor self) -> int |
| 4095 | inline int64_t Tensor::q_zero_point() const { |
| 4096 | return at::_ops::q_zero_point::call(const_cast<Tensor&>(*this)); |
| 4097 | } |
| 4098 | |
| 4099 | // aten::q_per_channel_scales(Tensor self) -> Tensor |
| 4100 | inline at::Tensor Tensor::q_per_channel_scales() const { |
| 4101 | return at::_ops::q_per_channel_scales::call(const_cast<Tensor&>(*this)); |
| 4102 | } |
| 4103 | |
| 4104 | // aten::q_per_channel_zero_points(Tensor self) -> Tensor |
| 4105 | inline at::Tensor Tensor::q_per_channel_zero_points() const { |
| 4106 | return at::_ops::q_per_channel_zero_points::call(const_cast<Tensor&>(*this)); |
| 4107 | } |
| 4108 | |
| 4109 | // aten::q_per_channel_axis(Tensor self) -> int |
| 4110 | inline int64_t Tensor::q_per_channel_axis() const { |
| 4111 | return at::_ops::q_per_channel_axis::call(const_cast<Tensor&>(*this)); |
| 4112 | } |
| 4113 | |
| 4114 | // aten::int_repr(Tensor self) -> Tensor |
| 4115 | inline at::Tensor Tensor::int_repr() const { |
| 4116 | return at::_ops::int_repr::call(const_cast<Tensor&>(*this)); |
| 4117 | } |
| 4118 | |
| 4119 | // aten::qscheme(Tensor self) -> QScheme |
| 4120 | inline at::QScheme Tensor::qscheme() const { |
| 4121 | return at::_ops::qscheme::call(const_cast<Tensor&>(*this)); |
| 4122 | } |
| 4123 | |
| 4124 | // aten::_autocast_to_reduced_precision(Tensor(a) self, bool cuda_enabled, bool cpu_enabled, ScalarType cuda_dtype, ScalarType cpu_dtype) -> Tensor(a) |
| 4125 | inline at::Tensor Tensor::_autocast_to_reduced_precision(bool cuda_enabled, bool cpu_enabled, at::ScalarType cuda_dtype, at::ScalarType cpu_dtype) const { |
| 4126 | return at::_ops::_autocast_to_reduced_precision::call(const_cast<Tensor&>(*this), cuda_enabled, cpu_enabled, cuda_dtype, cpu_dtype); |
| 4127 | } |
| 4128 | |
| 4129 | // aten::_autocast_to_full_precision(Tensor(a) self, bool cuda_enabled, bool cpu_enabled) -> Tensor(a) |
| 4130 | inline at::Tensor Tensor::_autocast_to_full_precision(bool cuda_enabled, bool cpu_enabled) const { |
| 4131 | return at::_ops::_autocast_to_full_precision::call(const_cast<Tensor&>(*this), cuda_enabled, cpu_enabled); |
| 4132 | } |
| 4133 | |
| 4134 | // aten::to.dtype_layout(Tensor(a) self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 4135 | inline at::Tensor Tensor::to(at::TensorOptions options, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) const { |
| 4136 | return at::_ops::to_dtype_layout::call(const_cast<Tensor&>(*this), 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)); |
| 4137 | } |
| 4138 | |
| 4139 | // aten::to.dtype_layout(Tensor(a) self, *, ScalarType? dtype=None, Layout? layout=None, Device? device=None, bool? pin_memory=None, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 4140 | inline at::Tensor Tensor::to(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) const { |
| 4141 | return at::_ops::to_dtype_layout::call(const_cast<Tensor&>(*this), dtype, layout, device, pin_memory, non_blocking, copy, memory_format); |
| 4142 | } |
| 4143 | |
| 4144 | // aten::to.device(Tensor(a) self, Device device, ScalarType dtype, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 4145 | inline at::Tensor Tensor::to(at::Device device, at::ScalarType dtype, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) const { |
| 4146 | return at::_ops::to_device::call(const_cast<Tensor&>(*this), device, dtype, non_blocking, copy, memory_format); |
| 4147 | } |
| 4148 | |
| 4149 | // aten::to.dtype(Tensor(a) self, ScalarType dtype, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 4150 | inline at::Tensor Tensor::to(at::ScalarType dtype, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) const { |
| 4151 | return at::_ops::to_dtype::call(const_cast<Tensor&>(*this), dtype, non_blocking, copy, memory_format); |
| 4152 | } |
| 4153 | |
| 4154 | // aten::to.other(Tensor(a) self, Tensor other, bool non_blocking=False, bool copy=False, MemoryFormat? memory_format=None) -> Tensor(a) |
| 4155 | inline at::Tensor Tensor::to(const at::Tensor & other, bool non_blocking, bool copy, c10::optional<at::MemoryFormat> memory_format) const { |
| 4156 | return at::_ops::to_other::call(const_cast<Tensor&>(*this), other, non_blocking, copy, memory_format); |
| 4157 | } |
| 4158 | |
| 4159 | // aten::item(Tensor self) -> Scalar |
| 4160 | inline at::Scalar Tensor::item() const { |
| 4161 | return at::_ops::item::call(const_cast<Tensor&>(*this)); |
| 4162 | } |
| 4163 | |
| 4164 | // aten::set_.source_Storage(Tensor(a!) self, Storage source) -> Tensor(a!) |
| 4165 | inline at::Tensor & Tensor::set_(at::Storage source) const { |
| 4166 | return at::_ops::set__source_Storage::call(const_cast<Tensor&>(*this), source); |
| 4167 | } |
| 4168 | |
| 4169 | // aten::set_.source_Storage_storage_offset(Tensor(a!) self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 4170 | inline at::Tensor & Tensor::set_(at::Storage source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride) const { |
| 4171 | return at::_ops::set__source_Storage_storage_offset::call(const_cast<Tensor&>(*this), source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 4172 | } |
| 4173 | |
| 4174 | // aten::set_.source_Storage_storage_offset(Tensor(a!) self, Storage source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 4175 | inline at::Tensor & Tensor::set__symint(at::Storage source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) const { |
| 4176 | return at::_ops::set__source_Storage_storage_offset::call(const_cast<Tensor&>(*this), source, storage_offset, size, stride); |
| 4177 | } |
| 4178 | |
| 4179 | // aten::set_.source_Tensor_storage_offset(Tensor(a!) self, Tensor source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 4180 | inline at::Tensor & Tensor::set_(const at::Tensor & source, int64_t storage_offset, at::IntArrayRef size, at::IntArrayRef stride) const { |
| 4181 | return at::_ops::set__source_Tensor_storage_offset::call(const_cast<Tensor&>(*this), source, storage_offset, c10::fromIntArrayRefSlow(size), c10::fromIntArrayRefSlow(stride)); |
| 4182 | } |
| 4183 | |
| 4184 | // aten::set_.source_Tensor_storage_offset(Tensor(a!) self, Tensor source, SymInt storage_offset, SymInt[] size, SymInt[] stride=[]) -> Tensor(a!) |
| 4185 | inline at::Tensor & Tensor::set__symint(const at::Tensor & source, c10::SymInt storage_offset, c10::SymIntArrayRef size, c10::SymIntArrayRef stride) const { |
| 4186 | return at::_ops::set__source_Tensor_storage_offset::call(const_cast<Tensor&>(*this), source, storage_offset, size, stride); |
| 4187 | } |
| 4188 | |
| 4189 | // aten::set_.source_Tensor(Tensor(a!) self, Tensor source) -> Tensor(a!) |
| 4190 | inline at::Tensor & Tensor::set_(const at::Tensor & source) const { |
| 4191 | return at::_ops::set__source_Tensor::call(const_cast<Tensor&>(*this), source); |
| 4192 | } |
| 4193 | |
| 4194 | // aten::set_(Tensor(a!) self) -> Tensor(a!) |
| 4195 | inline at::Tensor & Tensor::set_() const { |
| 4196 | return at::_ops::set_::call(const_cast<Tensor&>(*this)); |
| 4197 | } |
| 4198 | |
| 4199 | // aten::is_set_to(Tensor self, Tensor tensor) -> bool |
| 4200 | inline bool Tensor::is_set_to(const at::Tensor & tensor) const { |
| 4201 | return at::_ops::is_set_to::call(const_cast<Tensor&>(*this), tensor); |
| 4202 | } |
| 4203 | |
| 4204 | // aten::masked_fill_.Scalar(Tensor(a!) self, Tensor mask, Scalar value) -> Tensor(a!) |
| 4205 | inline at::Tensor & Tensor::masked_fill_(const at::Tensor & mask, const at::Scalar & value) const { |
| 4206 | return at::_ops::masked_fill__Scalar::call(const_cast<Tensor&>(*this), mask, value); |
| 4207 | } |
| 4208 | |
| 4209 | // aten::masked_fill.Scalar(Tensor self, Tensor mask, Scalar value) -> Tensor |
| 4210 | inline at::Tensor Tensor::masked_fill(const at::Tensor & mask, const at::Scalar & value) const { |
| 4211 | return at::_ops::masked_fill_Scalar::call(const_cast<Tensor&>(*this), mask, value); |
| 4212 | } |
| 4213 | |
| 4214 | // aten::masked_fill_.Tensor(Tensor(a!) self, Tensor mask, Tensor value) -> Tensor(a!) |
| 4215 | inline at::Tensor & Tensor::masked_fill_(const at::Tensor & mask, const at::Tensor & value) const { |
| 4216 | return at::_ops::masked_fill__Tensor::call(const_cast<Tensor&>(*this), mask, value); |
| 4217 | } |
| 4218 | |
| 4219 | // aten::masked_fill.Tensor(Tensor self, Tensor mask, Tensor value) -> Tensor |
| 4220 | inline at::Tensor Tensor::masked_fill(const at::Tensor & mask, const at::Tensor & value) const { |
| 4221 | return at::_ops::masked_fill_Tensor::call(const_cast<Tensor&>(*this), mask, value); |
| 4222 | } |
| 4223 | |
| 4224 | // aten::masked_scatter_(Tensor(a!) self, Tensor mask, Tensor source) -> Tensor(a!) |
| 4225 | inline at::Tensor & Tensor::masked_scatter_(const at::Tensor & mask, const at::Tensor & source) const { |
| 4226 | return at::_ops::masked_scatter_::call(const_cast<Tensor&>(*this), mask, source); |
| 4227 | } |
| 4228 | |
| 4229 | // aten::masked_scatter(Tensor self, Tensor mask, Tensor source) -> Tensor |
| 4230 | inline at::Tensor Tensor::masked_scatter(const at::Tensor & mask, const at::Tensor & source) const { |
| 4231 | return at::_ops::masked_scatter::call(const_cast<Tensor&>(*this), mask, source); |
| 4232 | } |
| 4233 | |
| 4234 | // aten::view(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 4235 | inline at::Tensor Tensor::view(at::IntArrayRef size) const { |
| 4236 | return at::_ops::view::call(const_cast<Tensor&>(*this), c10::fromIntArrayRefSlow(size)); |
| 4237 | } |
| 4238 | |
| 4239 | // aten::view(Tensor(a) self, SymInt[] size) -> Tensor(a) |
| 4240 | inline at::Tensor Tensor::view_symint(c10::SymIntArrayRef size) const { |
| 4241 | return at::_ops::view::call(const_cast<Tensor&>(*this), size); |
| 4242 | } |
| 4243 | |
| 4244 | // aten::view.dtype(Tensor(a) self, ScalarType dtype) -> Tensor(a) |
| 4245 | inline at::Tensor Tensor::view(at::ScalarType dtype) const { |
| 4246 | return at::_ops::view_dtype::call(const_cast<Tensor&>(*this), dtype); |
| 4247 | } |
| 4248 | |
| 4249 | // aten::put_(Tensor(a!) self, Tensor index, Tensor source, bool accumulate=False) -> Tensor(a!) |
| 4250 | inline at::Tensor & Tensor::put_(const at::Tensor & index, const at::Tensor & source, bool accumulate) const { |
| 4251 | return at::_ops::put_::call(const_cast<Tensor&>(*this), index, source, accumulate); |
| 4252 | } |
| 4253 | |
| 4254 | // aten::put(Tensor self, Tensor index, Tensor source, bool accumulate=False) -> Tensor |
| 4255 | inline at::Tensor Tensor::put(const at::Tensor & index, const at::Tensor & source, bool accumulate) const { |
| 4256 | return at::_ops::put::call(const_cast<Tensor&>(*this), index, source, accumulate); |
| 4257 | } |
| 4258 | |
| 4259 | // aten::index_add_(Tensor(a!) self, int dim, Tensor index, Tensor source, *, Scalar alpha=1) -> Tensor(a!) |
| 4260 | inline at::Tensor & Tensor::index_add_(int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha) const { |
| 4261 | return at::_ops::index_add_::call(const_cast<Tensor&>(*this), dim, index, source, alpha); |
| 4262 | } |
| 4263 | |
| 4264 | // aten::index_add(Tensor self, int dim, Tensor index, Tensor source, *, Scalar alpha=1) -> Tensor |
| 4265 | inline at::Tensor Tensor::index_add(int64_t dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha) const { |
| 4266 | return at::_ops::index_add::call(const_cast<Tensor&>(*this), dim, index, source, alpha); |
| 4267 | } |
| 4268 | |
| 4269 | // aten::index_add.dimname(Tensor self, Dimname dim, Tensor index, Tensor source, *, Scalar alpha=1) -> Tensor |
| 4270 | inline at::Tensor Tensor::index_add(at::Dimname dim, const at::Tensor & index, const at::Tensor & source, const at::Scalar & alpha) const { |
| 4271 | return at::_ops::index_add_dimname::call(const_cast<Tensor&>(*this), dim, index, source, alpha); |
| 4272 | } |
| 4273 | |
| 4274 | // aten::index_reduce_(Tensor(a!) self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True) -> Tensor(a!) |
| 4275 | inline at::Tensor & Tensor::index_reduce_(int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self) const { |
| 4276 | return at::_ops::index_reduce_::call(const_cast<Tensor&>(*this), dim, index, source, reduce, include_self); |
| 4277 | } |
| 4278 | |
| 4279 | // aten::index_reduce(Tensor self, int dim, Tensor index, Tensor source, str reduce, *, bool include_self=True) -> Tensor |
| 4280 | inline at::Tensor Tensor::index_reduce(int64_t dim, const at::Tensor & index, const at::Tensor & source, c10::string_view reduce, bool include_self) const { |
| 4281 | return at::_ops::index_reduce::call(const_cast<Tensor&>(*this), dim, index, source, reduce, include_self); |
| 4282 | } |
| 4283 | |
| 4284 | // aten::index_fill_.int_Scalar(Tensor(a!) self, int dim, Tensor index, Scalar value) -> Tensor(a!) |
| 4285 | inline at::Tensor & Tensor::index_fill_(int64_t dim, const at::Tensor & index, const at::Scalar & value) const { |
| 4286 | return at::_ops::index_fill__int_Scalar::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4287 | } |
| 4288 | |
| 4289 | // aten::index_fill.int_Scalar(Tensor self, int dim, Tensor index, Scalar value) -> Tensor |
| 4290 | inline at::Tensor Tensor::index_fill(int64_t dim, const at::Tensor & index, const at::Scalar & value) const { |
| 4291 | return at::_ops::index_fill_int_Scalar::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4292 | } |
| 4293 | |
| 4294 | // aten::index_fill_.int_Tensor(Tensor(a!) self, int dim, Tensor index, Tensor value) -> Tensor(a!) |
| 4295 | inline at::Tensor & Tensor::index_fill_(int64_t dim, const at::Tensor & index, const at::Tensor & value) const { |
| 4296 | return at::_ops::index_fill__int_Tensor::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4297 | } |
| 4298 | |
| 4299 | // aten::index_fill.int_Tensor(Tensor self, int dim, Tensor index, Tensor value) -> Tensor |
| 4300 | inline at::Tensor Tensor::index_fill(int64_t dim, const at::Tensor & index, const at::Tensor & value) const { |
| 4301 | return at::_ops::index_fill_int_Tensor::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4302 | } |
| 4303 | |
| 4304 | // aten::index_fill_.Dimname_Scalar(Tensor(a!) self, Dimname dim, Tensor index, Scalar value) -> Tensor(a!) |
| 4305 | inline at::Tensor & Tensor::index_fill_(at::Dimname dim, const at::Tensor & index, const at::Scalar & value) const { |
| 4306 | return at::_ops::index_fill__Dimname_Scalar::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4307 | } |
| 4308 | |
| 4309 | // aten::index_fill_.Dimname_Tensor(Tensor(a!) self, Dimname dim, Tensor index, Tensor value) -> Tensor(a!) |
| 4310 | inline at::Tensor & Tensor::index_fill_(at::Dimname dim, const at::Tensor & index, const at::Tensor & value) const { |
| 4311 | return at::_ops::index_fill__Dimname_Tensor::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4312 | } |
| 4313 | |
| 4314 | // aten::index_fill.Dimname_Scalar(Tensor self, Dimname dim, Tensor index, Scalar value) -> Tensor |
| 4315 | inline at::Tensor Tensor::index_fill(at::Dimname dim, const at::Tensor & index, const at::Scalar & value) const { |
| 4316 | return at::_ops::index_fill_Dimname_Scalar::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4317 | } |
| 4318 | |
| 4319 | // aten::index_fill.Dimname_Tensor(Tensor self, Dimname dim, Tensor index, Tensor value) -> Tensor |
| 4320 | inline at::Tensor Tensor::index_fill(at::Dimname dim, const at::Tensor & index, const at::Tensor & value) const { |
| 4321 | return at::_ops::index_fill_Dimname_Tensor::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4322 | } |
| 4323 | |
| 4324 | // aten::scatter.src(Tensor self, int dim, Tensor index, Tensor src) -> Tensor |
| 4325 | inline at::Tensor Tensor::scatter(int64_t dim, const at::Tensor & index, const at::Tensor & src) const { |
| 4326 | return at::_ops::scatter_src::call(const_cast<Tensor&>(*this), dim, index, src); |
| 4327 | } |
| 4328 | |
| 4329 | // aten::scatter_.src(Tensor(a!) self, int dim, Tensor index, Tensor src) -> Tensor(a!) |
| 4330 | inline at::Tensor & Tensor::scatter_(int64_t dim, const at::Tensor & index, const at::Tensor & src) const { |
| 4331 | return at::_ops::scatter__src::call(const_cast<Tensor&>(*this), dim, index, src); |
| 4332 | } |
| 4333 | |
| 4334 | // aten::scatter.value(Tensor self, int dim, Tensor index, Scalar value) -> Tensor |
| 4335 | inline at::Tensor Tensor::scatter(int64_t dim, const at::Tensor & index, const at::Scalar & value) const { |
| 4336 | return at::_ops::scatter_value::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4337 | } |
| 4338 | |
| 4339 | // aten::scatter_.value(Tensor(a!) self, int dim, Tensor index, Scalar value) -> Tensor(a!) |
| 4340 | inline at::Tensor & Tensor::scatter_(int64_t dim, const at::Tensor & index, const at::Scalar & value) const { |
| 4341 | return at::_ops::scatter__value::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4342 | } |
| 4343 | |
| 4344 | // aten::scatter.reduce(Tensor self, int dim, Tensor index, Tensor src, *, str reduce) -> Tensor |
| 4345 | inline at::Tensor Tensor::scatter(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) const { |
| 4346 | return at::_ops::scatter_reduce::call(const_cast<Tensor&>(*this), dim, index, src, reduce); |
| 4347 | } |
| 4348 | |
| 4349 | // aten::scatter_.reduce(Tensor(a!) self, int dim, Tensor index, Tensor src, *, str reduce) -> Tensor(a!) |
| 4350 | inline at::Tensor & Tensor::scatter_(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce) const { |
| 4351 | return at::_ops::scatter__reduce::call(const_cast<Tensor&>(*this), dim, index, src, reduce); |
| 4352 | } |
| 4353 | |
| 4354 | // aten::scatter.value_reduce(Tensor self, int dim, Tensor index, Scalar value, *, str reduce) -> Tensor |
| 4355 | inline at::Tensor Tensor::scatter(int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) const { |
| 4356 | return at::_ops::scatter_value_reduce::call(const_cast<Tensor&>(*this), dim, index, value, reduce); |
| 4357 | } |
| 4358 | |
| 4359 | // aten::scatter_.value_reduce(Tensor(a!) self, int dim, Tensor index, Scalar value, *, str reduce) -> Tensor(a!) |
| 4360 | inline at::Tensor & Tensor::scatter_(int64_t dim, const at::Tensor & index, const at::Scalar & value, c10::string_view reduce) const { |
| 4361 | return at::_ops::scatter__value_reduce::call(const_cast<Tensor&>(*this), dim, index, value, reduce); |
| 4362 | } |
| 4363 | |
| 4364 | // aten::scatter.dimname_src(Tensor self, Dimname dim, Tensor index, Tensor src) -> Tensor |
| 4365 | inline at::Tensor Tensor::scatter(at::Dimname dim, const at::Tensor & index, const at::Tensor & src) const { |
| 4366 | return at::_ops::scatter_dimname_src::call(const_cast<Tensor&>(*this), dim, index, src); |
| 4367 | } |
| 4368 | |
| 4369 | // aten::scatter.dimname_value(Tensor self, Dimname dim, Tensor index, Scalar value) -> Tensor |
| 4370 | inline at::Tensor Tensor::scatter(at::Dimname dim, const at::Tensor & index, const at::Scalar & value) const { |
| 4371 | return at::_ops::scatter_dimname_value::call(const_cast<Tensor&>(*this), dim, index, value); |
| 4372 | } |
| 4373 | |
| 4374 | // aten::scatter_add(Tensor self, int dim, Tensor index, Tensor src) -> Tensor |
| 4375 | inline at::Tensor Tensor::scatter_add(int64_t dim, const at::Tensor & index, const at::Tensor & src) const { |
| 4376 | return at::_ops::scatter_add::call(const_cast<Tensor&>(*this), dim, index, src); |
| 4377 | } |
| 4378 | |
| 4379 | // aten::scatter_add_(Tensor(a!) self, int dim, Tensor index, Tensor src) -> Tensor(a!) |
| 4380 | inline at::Tensor & Tensor::scatter_add_(int64_t dim, const at::Tensor & index, const at::Tensor & src) const { |
| 4381 | return at::_ops::scatter_add_::call(const_cast<Tensor&>(*this), dim, index, src); |
| 4382 | } |
| 4383 | |
| 4384 | // aten::scatter_add.dimname(Tensor self, Dimname dim, Tensor index, Tensor src) -> Tensor |
| 4385 | inline at::Tensor Tensor::scatter_add(at::Dimname dim, const at::Tensor & index, const at::Tensor & src) const { |
| 4386 | return at::_ops::scatter_add_dimname::call(const_cast<Tensor&>(*this), dim, index, src); |
| 4387 | } |
| 4388 | |
| 4389 | // aten::scatter_reduce.two(Tensor self, int dim, Tensor index, Tensor src, str reduce, *, bool include_self=True) -> Tensor |
| 4390 | inline at::Tensor Tensor::scatter_reduce(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self) const { |
| 4391 | return at::_ops::scatter_reduce_two::call(const_cast<Tensor&>(*this), dim, index, src, reduce, include_self); |
| 4392 | } |
| 4393 | |
| 4394 | // aten::scatter_reduce_.two(Tensor(a!) self, int dim, Tensor index, Tensor src, str reduce, *, bool include_self=True) -> Tensor(a!) |
| 4395 | inline at::Tensor & Tensor::scatter_reduce_(int64_t dim, const at::Tensor & index, const at::Tensor & src, c10::string_view reduce, bool include_self) const { |
| 4396 | return at::_ops::scatter_reduce__two::call(const_cast<Tensor&>(*this), dim, index, src, reduce, include_self); |
| 4397 | } |
| 4398 | |
| 4399 | // aten::eq_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4400 | inline at::Tensor & Tensor::eq_(const at::Scalar & other) const { |
| 4401 | return at::_ops::eq__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4402 | } |
| 4403 | |
| 4404 | // aten::eq_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4405 | inline at::Tensor & Tensor::eq_(const at::Tensor & other) const { |
| 4406 | return at::_ops::eq__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4407 | } |
| 4408 | |
| 4409 | // aten::bitwise_and.Scalar(Tensor self, Scalar other) -> Tensor |
| 4410 | inline at::Tensor Tensor::bitwise_and(const at::Scalar & other) const { |
| 4411 | return at::_ops::bitwise_and_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4412 | } |
| 4413 | |
| 4414 | // aten::bitwise_and.Tensor(Tensor self, Tensor other) -> Tensor |
| 4415 | inline at::Tensor Tensor::bitwise_and(const at::Tensor & other) const { |
| 4416 | return at::_ops::bitwise_and_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4417 | } |
| 4418 | |
| 4419 | // aten::bitwise_and_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4420 | inline at::Tensor & Tensor::bitwise_and_(const at::Scalar & other) const { |
| 4421 | return at::_ops::bitwise_and__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4422 | } |
| 4423 | |
| 4424 | // aten::bitwise_and_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4425 | inline at::Tensor & Tensor::bitwise_and_(const at::Tensor & other) const { |
| 4426 | return at::_ops::bitwise_and__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4427 | } |
| 4428 | |
| 4429 | // aten::__and__.Scalar(Tensor self, Scalar other) -> Tensor |
| 4430 | inline at::Tensor Tensor::__and__(const at::Scalar & other) const { |
| 4431 | return at::_ops::__and___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4432 | } |
| 4433 | |
| 4434 | // aten::__and__.Tensor(Tensor self, Tensor other) -> Tensor |
| 4435 | inline at::Tensor Tensor::__and__(const at::Tensor & other) const { |
| 4436 | return at::_ops::__and___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4437 | } |
| 4438 | |
| 4439 | // aten::__iand__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4440 | inline at::Tensor & Tensor::__iand__(const at::Scalar & other) const { |
| 4441 | return at::_ops::__iand___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4442 | } |
| 4443 | |
| 4444 | // aten::__iand__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4445 | inline at::Tensor & Tensor::__iand__(const at::Tensor & other) const { |
| 4446 | return at::_ops::__iand___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4447 | } |
| 4448 | |
| 4449 | // aten::bitwise_or.Scalar(Tensor self, Scalar other) -> Tensor |
| 4450 | inline at::Tensor Tensor::bitwise_or(const at::Scalar & other) const { |
| 4451 | return at::_ops::bitwise_or_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4452 | } |
| 4453 | |
| 4454 | // aten::bitwise_or.Tensor(Tensor self, Tensor other) -> Tensor |
| 4455 | inline at::Tensor Tensor::bitwise_or(const at::Tensor & other) const { |
| 4456 | return at::_ops::bitwise_or_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4457 | } |
| 4458 | |
| 4459 | // aten::bitwise_or_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4460 | inline at::Tensor & Tensor::bitwise_or_(const at::Scalar & other) const { |
| 4461 | return at::_ops::bitwise_or__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4462 | } |
| 4463 | |
| 4464 | // aten::bitwise_or_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4465 | inline at::Tensor & Tensor::bitwise_or_(const at::Tensor & other) const { |
| 4466 | return at::_ops::bitwise_or__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4467 | } |
| 4468 | |
| 4469 | // aten::__or__.Scalar(Tensor self, Scalar other) -> Tensor |
| 4470 | inline at::Tensor Tensor::__or__(const at::Scalar & other) const { |
| 4471 | return at::_ops::__or___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4472 | } |
| 4473 | |
| 4474 | // aten::__or__.Tensor(Tensor self, Tensor other) -> Tensor |
| 4475 | inline at::Tensor Tensor::__or__(const at::Tensor & other) const { |
| 4476 | return at::_ops::__or___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4477 | } |
| 4478 | |
| 4479 | // aten::__ior__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4480 | inline at::Tensor & Tensor::__ior__(const at::Scalar & other) const { |
| 4481 | return at::_ops::__ior___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4482 | } |
| 4483 | |
| 4484 | // aten::__ior__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4485 | inline at::Tensor & Tensor::__ior__(const at::Tensor & other) const { |
| 4486 | return at::_ops::__ior___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4487 | } |
| 4488 | |
| 4489 | // aten::bitwise_xor.Scalar(Tensor self, Scalar other) -> Tensor |
| 4490 | inline at::Tensor Tensor::bitwise_xor(const at::Scalar & other) const { |
| 4491 | return at::_ops::bitwise_xor_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4492 | } |
| 4493 | |
| 4494 | // aten::bitwise_xor.Tensor(Tensor self, Tensor other) -> Tensor |
| 4495 | inline at::Tensor Tensor::bitwise_xor(const at::Tensor & other) const { |
| 4496 | return at::_ops::bitwise_xor_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4497 | } |
| 4498 | |
| 4499 | // aten::bitwise_xor_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4500 | inline at::Tensor & Tensor::bitwise_xor_(const at::Scalar & other) const { |
| 4501 | return at::_ops::bitwise_xor__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4502 | } |
| 4503 | |
| 4504 | // aten::bitwise_xor_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4505 | inline at::Tensor & Tensor::bitwise_xor_(const at::Tensor & other) const { |
| 4506 | return at::_ops::bitwise_xor__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4507 | } |
| 4508 | |
| 4509 | // aten::__xor__.Scalar(Tensor self, Scalar other) -> Tensor |
| 4510 | inline at::Tensor Tensor::__xor__(const at::Scalar & other) const { |
| 4511 | return at::_ops::__xor___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4512 | } |
| 4513 | |
| 4514 | // aten::__xor__.Tensor(Tensor self, Tensor other) -> Tensor |
| 4515 | inline at::Tensor Tensor::__xor__(const at::Tensor & other) const { |
| 4516 | return at::_ops::__xor___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4517 | } |
| 4518 | |
| 4519 | // aten::__ixor__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4520 | inline at::Tensor & Tensor::__ixor__(const at::Scalar & other) const { |
| 4521 | return at::_ops::__ixor___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4522 | } |
| 4523 | |
| 4524 | // aten::__ixor__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4525 | inline at::Tensor & Tensor::__ixor__(const at::Tensor & other) const { |
| 4526 | return at::_ops::__ixor___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4527 | } |
| 4528 | |
| 4529 | // aten::__lshift__.Scalar(Tensor self, Scalar other) -> Tensor |
| 4530 | inline at::Tensor Tensor::__lshift__(const at::Scalar & other) const { |
| 4531 | return at::_ops::__lshift___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4532 | } |
| 4533 | |
| 4534 | // aten::__lshift__.Tensor(Tensor self, Tensor other) -> Tensor |
| 4535 | inline at::Tensor Tensor::__lshift__(const at::Tensor & other) const { |
| 4536 | return at::_ops::__lshift___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4537 | } |
| 4538 | |
| 4539 | // aten::__ilshift__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4540 | inline at::Tensor & Tensor::__ilshift__(const at::Scalar & other) const { |
| 4541 | return at::_ops::__ilshift___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4542 | } |
| 4543 | |
| 4544 | // aten::__ilshift__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4545 | inline at::Tensor & Tensor::__ilshift__(const at::Tensor & other) const { |
| 4546 | return at::_ops::__ilshift___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4547 | } |
| 4548 | |
| 4549 | // aten::bitwise_left_shift.Tensor(Tensor self, Tensor other) -> Tensor |
| 4550 | inline at::Tensor Tensor::bitwise_left_shift(const at::Tensor & other) const { |
| 4551 | return at::_ops::bitwise_left_shift_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4552 | } |
| 4553 | |
| 4554 | // aten::bitwise_left_shift_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4555 | inline at::Tensor & Tensor::bitwise_left_shift_(const at::Tensor & other) const { |
| 4556 | return at::_ops::bitwise_left_shift__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4557 | } |
| 4558 | |
| 4559 | // aten::bitwise_left_shift.Tensor_Scalar(Tensor self, Scalar other) -> Tensor |
| 4560 | inline at::Tensor Tensor::bitwise_left_shift(const at::Scalar & other) const { |
| 4561 | return at::_ops::bitwise_left_shift_Tensor_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4562 | } |
| 4563 | |
| 4564 | // aten::bitwise_left_shift_.Tensor_Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4565 | inline at::Tensor & Tensor::bitwise_left_shift_(const at::Scalar & other) const { |
| 4566 | return at::_ops::bitwise_left_shift__Tensor_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4567 | } |
| 4568 | |
| 4569 | // aten::__rshift__.Scalar(Tensor self, Scalar other) -> Tensor |
| 4570 | inline at::Tensor Tensor::__rshift__(const at::Scalar & other) const { |
| 4571 | return at::_ops::__rshift___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4572 | } |
| 4573 | |
| 4574 | // aten::__rshift__.Tensor(Tensor self, Tensor other) -> Tensor |
| 4575 | inline at::Tensor Tensor::__rshift__(const at::Tensor & other) const { |
| 4576 | return at::_ops::__rshift___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4577 | } |
| 4578 | |
| 4579 | // aten::__irshift__.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4580 | inline at::Tensor & Tensor::__irshift__(const at::Scalar & other) const { |
| 4581 | return at::_ops::__irshift___Scalar::call(const_cast<Tensor&>(*this), other); |
| 4582 | } |
| 4583 | |
| 4584 | // aten::__irshift__.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4585 | inline at::Tensor & Tensor::__irshift__(const at::Tensor & other) const { |
| 4586 | return at::_ops::__irshift___Tensor::call(const_cast<Tensor&>(*this), other); |
| 4587 | } |
| 4588 | |
| 4589 | // aten::bitwise_right_shift.Tensor(Tensor self, Tensor other) -> Tensor |
| 4590 | inline at::Tensor Tensor::bitwise_right_shift(const at::Tensor & other) const { |
| 4591 | return at::_ops::bitwise_right_shift_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4592 | } |
| 4593 | |
| 4594 | // aten::bitwise_right_shift_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4595 | inline at::Tensor & Tensor::bitwise_right_shift_(const at::Tensor & other) const { |
| 4596 | return at::_ops::bitwise_right_shift__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4597 | } |
| 4598 | |
| 4599 | // aten::bitwise_right_shift.Tensor_Scalar(Tensor self, Scalar other) -> Tensor |
| 4600 | inline at::Tensor Tensor::bitwise_right_shift(const at::Scalar & other) const { |
| 4601 | return at::_ops::bitwise_right_shift_Tensor_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4602 | } |
| 4603 | |
| 4604 | // aten::bitwise_right_shift_.Tensor_Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4605 | inline at::Tensor & Tensor::bitwise_right_shift_(const at::Scalar & other) const { |
| 4606 | return at::_ops::bitwise_right_shift__Tensor_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4607 | } |
| 4608 | |
| 4609 | // aten::tril_(Tensor(a!) self, int diagonal=0) -> Tensor(a!) |
| 4610 | inline at::Tensor & Tensor::tril_(int64_t diagonal) const { |
| 4611 | return at::_ops::tril_::call(const_cast<Tensor&>(*this), diagonal); |
| 4612 | } |
| 4613 | |
| 4614 | // aten::triu_(Tensor(a!) self, int diagonal=0) -> Tensor(a!) |
| 4615 | inline at::Tensor & Tensor::triu_(int64_t diagonal) const { |
| 4616 | return at::_ops::triu_::call(const_cast<Tensor&>(*this), diagonal); |
| 4617 | } |
| 4618 | |
| 4619 | // aten::digamma_(Tensor(a!) self) -> Tensor(a!) |
| 4620 | inline at::Tensor & Tensor::digamma_() const { |
| 4621 | return at::_ops::digamma_::call(const_cast<Tensor&>(*this)); |
| 4622 | } |
| 4623 | |
| 4624 | // aten::lerp_.Scalar(Tensor(a!) self, Tensor end, Scalar weight) -> Tensor(a!) |
| 4625 | inline at::Tensor & Tensor::lerp_(const at::Tensor & end, const at::Scalar & weight) const { |
| 4626 | return at::_ops::lerp__Scalar::call(const_cast<Tensor&>(*this), end, weight); |
| 4627 | } |
| 4628 | |
| 4629 | // aten::lerp_.Tensor(Tensor(a!) self, Tensor end, Tensor weight) -> Tensor(a!) |
| 4630 | inline at::Tensor & Tensor::lerp_(const at::Tensor & end, const at::Tensor & weight) const { |
| 4631 | return at::_ops::lerp__Tensor::call(const_cast<Tensor&>(*this), end, weight); |
| 4632 | } |
| 4633 | |
| 4634 | // aten::addbmm_(Tensor(a!) self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor(a!) |
| 4635 | inline at::Tensor & Tensor::addbmm_(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 4636 | return at::_ops::addbmm_::call(const_cast<Tensor&>(*this), batch1, batch2, beta, alpha); |
| 4637 | } |
| 4638 | |
| 4639 | // aten::addbmm(Tensor self, Tensor batch1, Tensor batch2, *, Scalar beta=1, Scalar alpha=1) -> Tensor |
| 4640 | inline at::Tensor Tensor::addbmm(const at::Tensor & batch1, const at::Tensor & batch2, const at::Scalar & beta, const at::Scalar & alpha) const { |
| 4641 | return at::_ops::addbmm::call(const_cast<Tensor&>(*this), batch1, batch2, beta, alpha); |
| 4642 | } |
| 4643 | |
| 4644 | // aten::random_.from(Tensor(a!) self, int from, int? to, *, Generator? generator=None) -> Tensor(a!) |
| 4645 | inline at::Tensor & Tensor::random_(int64_t from, c10::optional<int64_t> to, c10::optional<at::Generator> generator) const { |
| 4646 | return at::_ops::random__from::call(const_cast<Tensor&>(*this), from, to, generator); |
| 4647 | } |
| 4648 | |
| 4649 | // aten::random_.to(Tensor(a!) self, int to, *, Generator? generator=None) -> Tensor(a!) |
| 4650 | inline at::Tensor & Tensor::random_(int64_t to, c10::optional<at::Generator> generator) const { |
| 4651 | return at::_ops::random__to::call(const_cast<Tensor&>(*this), to, generator); |
| 4652 | } |
| 4653 | |
| 4654 | // aten::random_(Tensor(a!) self, *, Generator? generator=None) -> Tensor(a!) |
| 4655 | inline at::Tensor & Tensor::random_(c10::optional<at::Generator> generator) const { |
| 4656 | return at::_ops::random_::call(const_cast<Tensor&>(*this), generator); |
| 4657 | } |
| 4658 | |
| 4659 | // aten::uniform_(Tensor(a!) self, float from=0, float to=1, *, Generator? generator=None) -> Tensor(a!) |
| 4660 | inline at::Tensor & Tensor::uniform_(double from, double to, c10::optional<at::Generator> generator) const { |
| 4661 | return at::_ops::uniform_::call(const_cast<Tensor&>(*this), from, to, generator); |
| 4662 | } |
| 4663 | |
| 4664 | // aten::cauchy_(Tensor(a!) self, float median=0, float sigma=1, *, Generator? generator=None) -> Tensor(a!) |
| 4665 | inline at::Tensor & Tensor::cauchy_(double median, double sigma, c10::optional<at::Generator> generator) const { |
| 4666 | return at::_ops::cauchy_::call(const_cast<Tensor&>(*this), median, sigma, generator); |
| 4667 | } |
| 4668 | |
| 4669 | // aten::log_normal_(Tensor(a!) self, float mean=1, float std=2, *, Generator? generator=None) -> Tensor(a!) |
| 4670 | inline at::Tensor & Tensor::log_normal_(double mean, double std, c10::optional<at::Generator> generator) const { |
| 4671 | return at::_ops::log_normal_::call(const_cast<Tensor&>(*this), mean, std, generator); |
| 4672 | } |
| 4673 | |
| 4674 | // aten::exponential_(Tensor(a!) self, float lambd=1, *, Generator? generator=None) -> Tensor(a!) |
| 4675 | inline at::Tensor & Tensor::exponential_(double lambd, c10::optional<at::Generator> generator) const { |
| 4676 | return at::_ops::exponential_::call(const_cast<Tensor&>(*this), lambd, generator); |
| 4677 | } |
| 4678 | |
| 4679 | // aten::geometric_(Tensor(a!) self, float p, *, Generator? generator=None) -> Tensor(a!) |
| 4680 | inline at::Tensor & Tensor::geometric_(double p, c10::optional<at::Generator> generator) const { |
| 4681 | return at::_ops::geometric_::call(const_cast<Tensor&>(*this), p, generator); |
| 4682 | } |
| 4683 | |
| 4684 | // aten::diag(Tensor self, int diagonal=0) -> Tensor |
| 4685 | inline at::Tensor Tensor::diag(int64_t diagonal) const { |
| 4686 | return at::_ops::diag::call(const_cast<Tensor&>(*this), diagonal); |
| 4687 | } |
| 4688 | |
| 4689 | // aten::cross(Tensor self, Tensor other, int? dim=None) -> Tensor |
| 4690 | inline at::Tensor Tensor::cross(const at::Tensor & other, c10::optional<int64_t> dim) const { |
| 4691 | return at::_ops::cross::call(const_cast<Tensor&>(*this), other, dim); |
| 4692 | } |
| 4693 | |
| 4694 | // aten::triu(Tensor self, int diagonal=0) -> Tensor |
| 4695 | inline at::Tensor Tensor::triu(int64_t diagonal) const { |
| 4696 | return at::_ops::triu::call(const_cast<Tensor&>(*this), diagonal); |
| 4697 | } |
| 4698 | |
| 4699 | // aten::tril(Tensor self, int diagonal=0) -> Tensor |
| 4700 | inline at::Tensor Tensor::tril(int64_t diagonal) const { |
| 4701 | return at::_ops::tril::call(const_cast<Tensor&>(*this), diagonal); |
| 4702 | } |
| 4703 | |
| 4704 | // aten::trace(Tensor self) -> Tensor |
| 4705 | inline at::Tensor Tensor::trace() const { |
| 4706 | return at::_ops::trace::call(const_cast<Tensor&>(*this)); |
| 4707 | } |
| 4708 | |
| 4709 | // aten::ne.Scalar(Tensor self, Scalar other) -> Tensor |
| 4710 | inline at::Tensor Tensor::ne(const at::Scalar & other) const { |
| 4711 | return at::_ops::ne_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4712 | } |
| 4713 | |
| 4714 | // aten::ne.Tensor(Tensor self, Tensor other) -> Tensor |
| 4715 | inline at::Tensor Tensor::ne(const at::Tensor & other) const { |
| 4716 | return at::_ops::ne_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4717 | } |
| 4718 | |
| 4719 | // aten::ne_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4720 | inline at::Tensor & Tensor::ne_(const at::Scalar & other) const { |
| 4721 | return at::_ops::ne__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4722 | } |
| 4723 | |
| 4724 | // aten::ne_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4725 | inline at::Tensor & Tensor::ne_(const at::Tensor & other) const { |
| 4726 | return at::_ops::ne__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4727 | } |
| 4728 | |
| 4729 | // aten::not_equal.Scalar(Tensor self, Scalar other) -> Tensor |
| 4730 | inline at::Tensor Tensor::not_equal(const at::Scalar & other) const { |
| 4731 | return at::_ops::not_equal_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4732 | } |
| 4733 | |
| 4734 | // aten::not_equal.Tensor(Tensor self, Tensor other) -> Tensor |
| 4735 | inline at::Tensor Tensor::not_equal(const at::Tensor & other) const { |
| 4736 | return at::_ops::not_equal_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4737 | } |
| 4738 | |
| 4739 | // aten::not_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4740 | inline at::Tensor & Tensor::not_equal_(const at::Scalar & other) const { |
| 4741 | return at::_ops::not_equal__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4742 | } |
| 4743 | |
| 4744 | // aten::not_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4745 | inline at::Tensor & Tensor::not_equal_(const at::Tensor & other) const { |
| 4746 | return at::_ops::not_equal__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4747 | } |
| 4748 | |
| 4749 | // aten::eq.Scalar(Tensor self, Scalar other) -> Tensor |
| 4750 | inline at::Tensor Tensor::eq(const at::Scalar & other) const { |
| 4751 | return at::_ops::eq_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4752 | } |
| 4753 | |
| 4754 | // aten::eq.Tensor(Tensor self, Tensor other) -> Tensor |
| 4755 | inline at::Tensor Tensor::eq(const at::Tensor & other) const { |
| 4756 | return at::_ops::eq_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4757 | } |
| 4758 | |
| 4759 | // aten::ge.Scalar(Tensor self, Scalar other) -> Tensor |
| 4760 | inline at::Tensor Tensor::ge(const at::Scalar & other) const { |
| 4761 | return at::_ops::ge_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4762 | } |
| 4763 | |
| 4764 | // aten::ge.Tensor(Tensor self, Tensor other) -> Tensor |
| 4765 | inline at::Tensor Tensor::ge(const at::Tensor & other) const { |
| 4766 | return at::_ops::ge_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4767 | } |
| 4768 | |
| 4769 | // aten::ge_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4770 | inline at::Tensor & Tensor::ge_(const at::Scalar & other) const { |
| 4771 | return at::_ops::ge__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4772 | } |
| 4773 | |
| 4774 | // aten::ge_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4775 | inline at::Tensor & Tensor::ge_(const at::Tensor & other) const { |
| 4776 | return at::_ops::ge__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4777 | } |
| 4778 | |
| 4779 | // aten::greater_equal.Scalar(Tensor self, Scalar other) -> Tensor |
| 4780 | inline at::Tensor Tensor::greater_equal(const at::Scalar & other) const { |
| 4781 | return at::_ops::greater_equal_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4782 | } |
| 4783 | |
| 4784 | // aten::greater_equal.Tensor(Tensor self, Tensor other) -> Tensor |
| 4785 | inline at::Tensor Tensor::greater_equal(const at::Tensor & other) const { |
| 4786 | return at::_ops::greater_equal_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4787 | } |
| 4788 | |
| 4789 | // aten::greater_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4790 | inline at::Tensor & Tensor::greater_equal_(const at::Scalar & other) const { |
| 4791 | return at::_ops::greater_equal__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4792 | } |
| 4793 | |
| 4794 | // aten::greater_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4795 | inline at::Tensor & Tensor::greater_equal_(const at::Tensor & other) const { |
| 4796 | return at::_ops::greater_equal__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4797 | } |
| 4798 | |
| 4799 | // aten::le.Scalar(Tensor self, Scalar other) -> Tensor |
| 4800 | inline at::Tensor Tensor::le(const at::Scalar & other) const { |
| 4801 | return at::_ops::le_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4802 | } |
| 4803 | |
| 4804 | // aten::le.Tensor(Tensor self, Tensor other) -> Tensor |
| 4805 | inline at::Tensor Tensor::le(const at::Tensor & other) const { |
| 4806 | return at::_ops::le_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4807 | } |
| 4808 | |
| 4809 | // aten::le_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4810 | inline at::Tensor & Tensor::le_(const at::Scalar & other) const { |
| 4811 | return at::_ops::le__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4812 | } |
| 4813 | |
| 4814 | // aten::le_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4815 | inline at::Tensor & Tensor::le_(const at::Tensor & other) const { |
| 4816 | return at::_ops::le__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4817 | } |
| 4818 | |
| 4819 | // aten::less_equal.Scalar(Tensor self, Scalar other) -> Tensor |
| 4820 | inline at::Tensor Tensor::less_equal(const at::Scalar & other) const { |
| 4821 | return at::_ops::less_equal_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4822 | } |
| 4823 | |
| 4824 | // aten::less_equal.Tensor(Tensor self, Tensor other) -> Tensor |
| 4825 | inline at::Tensor Tensor::less_equal(const at::Tensor & other) const { |
| 4826 | return at::_ops::less_equal_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4827 | } |
| 4828 | |
| 4829 | // aten::less_equal_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4830 | inline at::Tensor & Tensor::less_equal_(const at::Scalar & other) const { |
| 4831 | return at::_ops::less_equal__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4832 | } |
| 4833 | |
| 4834 | // aten::less_equal_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4835 | inline at::Tensor & Tensor::less_equal_(const at::Tensor & other) const { |
| 4836 | return at::_ops::less_equal__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4837 | } |
| 4838 | |
| 4839 | // aten::gt.Scalar(Tensor self, Scalar other) -> Tensor |
| 4840 | inline at::Tensor Tensor::gt(const at::Scalar & other) const { |
| 4841 | return at::_ops::gt_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4842 | } |
| 4843 | |
| 4844 | // aten::gt.Tensor(Tensor self, Tensor other) -> Tensor |
| 4845 | inline at::Tensor Tensor::gt(const at::Tensor & other) const { |
| 4846 | return at::_ops::gt_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4847 | } |
| 4848 | |
| 4849 | // aten::gt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4850 | inline at::Tensor & Tensor::gt_(const at::Scalar & other) const { |
| 4851 | return at::_ops::gt__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4852 | } |
| 4853 | |
| 4854 | // aten::gt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4855 | inline at::Tensor & Tensor::gt_(const at::Tensor & other) const { |
| 4856 | return at::_ops::gt__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4857 | } |
| 4858 | |
| 4859 | // aten::greater.Scalar(Tensor self, Scalar other) -> Tensor |
| 4860 | inline at::Tensor Tensor::greater(const at::Scalar & other) const { |
| 4861 | return at::_ops::greater_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4862 | } |
| 4863 | |
| 4864 | // aten::greater.Tensor(Tensor self, Tensor other) -> Tensor |
| 4865 | inline at::Tensor Tensor::greater(const at::Tensor & other) const { |
| 4866 | return at::_ops::greater_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4867 | } |
| 4868 | |
| 4869 | // aten::greater_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4870 | inline at::Tensor & Tensor::greater_(const at::Scalar & other) const { |
| 4871 | return at::_ops::greater__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4872 | } |
| 4873 | |
| 4874 | // aten::greater_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4875 | inline at::Tensor & Tensor::greater_(const at::Tensor & other) const { |
| 4876 | return at::_ops::greater__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4877 | } |
| 4878 | |
| 4879 | // aten::lt.Scalar(Tensor self, Scalar other) -> Tensor |
| 4880 | inline at::Tensor Tensor::lt(const at::Scalar & other) const { |
| 4881 | return at::_ops::lt_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4882 | } |
| 4883 | |
| 4884 | // aten::lt.Tensor(Tensor self, Tensor other) -> Tensor |
| 4885 | inline at::Tensor Tensor::lt(const at::Tensor & other) const { |
| 4886 | return at::_ops::lt_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4887 | } |
| 4888 | |
| 4889 | // aten::lt_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4890 | inline at::Tensor & Tensor::lt_(const at::Scalar & other) const { |
| 4891 | return at::_ops::lt__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4892 | } |
| 4893 | |
| 4894 | // aten::lt_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4895 | inline at::Tensor & Tensor::lt_(const at::Tensor & other) const { |
| 4896 | return at::_ops::lt__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4897 | } |
| 4898 | |
| 4899 | // aten::less.Scalar(Tensor self, Scalar other) -> Tensor |
| 4900 | inline at::Tensor Tensor::less(const at::Scalar & other) const { |
| 4901 | return at::_ops::less_Scalar::call(const_cast<Tensor&>(*this), other); |
| 4902 | } |
| 4903 | |
| 4904 | // aten::less.Tensor(Tensor self, Tensor other) -> Tensor |
| 4905 | inline at::Tensor Tensor::less(const at::Tensor & other) const { |
| 4906 | return at::_ops::less_Tensor::call(const_cast<Tensor&>(*this), other); |
| 4907 | } |
| 4908 | |
| 4909 | // aten::less_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 4910 | inline at::Tensor & Tensor::less_(const at::Scalar & other) const { |
| 4911 | return at::_ops::less__Scalar::call(const_cast<Tensor&>(*this), other); |
| 4912 | } |
| 4913 | |
| 4914 | // aten::less_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 4915 | inline at::Tensor & Tensor::less_(const at::Tensor & other) const { |
| 4916 | return at::_ops::less__Tensor::call(const_cast<Tensor&>(*this), other); |
| 4917 | } |
| 4918 | |
| 4919 | // aten::take(Tensor self, Tensor index) -> Tensor |
| 4920 | inline at::Tensor Tensor::take(const at::Tensor & index) const { |
| 4921 | return at::_ops::take::call(const_cast<Tensor&>(*this), index); |
| 4922 | } |
| 4923 | |
| 4924 | // aten::take_along_dim(Tensor self, Tensor indices, int? dim=None) -> Tensor |
| 4925 | inline at::Tensor Tensor::take_along_dim(const at::Tensor & indices, c10::optional<int64_t> dim) const { |
| 4926 | return at::_ops::take_along_dim::call(const_cast<Tensor&>(*this), indices, dim); |
| 4927 | } |
| 4928 | |
| 4929 | // aten::index_select(Tensor self, int dim, Tensor index) -> Tensor |
| 4930 | inline at::Tensor Tensor::index_select(int64_t dim, const at::Tensor & index) const { |
| 4931 | return at::_ops::index_select::call(const_cast<Tensor&>(*this), dim, index); |
| 4932 | } |
| 4933 | |
| 4934 | // aten::index_select.dimname(Tensor self, Dimname dim, Tensor index) -> Tensor |
| 4935 | inline at::Tensor Tensor::index_select(at::Dimname dim, const at::Tensor & index) const { |
| 4936 | return at::_ops::index_select_dimname::call(const_cast<Tensor&>(*this), dim, index); |
| 4937 | } |
| 4938 | |
| 4939 | // aten::masked_select(Tensor self, Tensor mask) -> Tensor |
| 4940 | inline at::Tensor Tensor::masked_select(const at::Tensor & mask) const { |
| 4941 | return at::_ops::masked_select::call(const_cast<Tensor&>(*this), mask); |
| 4942 | } |
| 4943 | |
| 4944 | // aten::nonzero(Tensor self) -> Tensor |
| 4945 | inline at::Tensor Tensor::nonzero() const { |
| 4946 | return at::_ops::nonzero::call(const_cast<Tensor&>(*this)); |
| 4947 | } |
| 4948 | |
| 4949 | // aten::nonzero_numpy(Tensor self) -> Tensor[] |
| 4950 | inline ::std::vector<at::Tensor> Tensor::nonzero_numpy() const { |
| 4951 | return at::_ops::nonzero_numpy::call(const_cast<Tensor&>(*this)); |
| 4952 | } |
| 4953 | |
| 4954 | // aten::argwhere(Tensor self) -> Tensor |
| 4955 | inline at::Tensor Tensor::argwhere() const { |
| 4956 | return at::_ops::argwhere::call(const_cast<Tensor&>(*this)); |
| 4957 | } |
| 4958 | |
| 4959 | // aten::gather(Tensor self, int dim, Tensor index, *, bool sparse_grad=False) -> Tensor |
| 4960 | inline at::Tensor Tensor::gather(int64_t dim, const at::Tensor & index, bool sparse_grad) const { |
| 4961 | return at::_ops::gather::call(const_cast<Tensor&>(*this), dim, index, sparse_grad); |
| 4962 | } |
| 4963 | |
| 4964 | // aten::gather.dimname(Tensor self, Dimname dim, Tensor index, *, bool sparse_grad=False) -> Tensor |
| 4965 | inline at::Tensor Tensor::gather(at::Dimname dim, const at::Tensor & index, bool sparse_grad) const { |
| 4966 | return at::_ops::gather_dimname::call(const_cast<Tensor&>(*this), dim, index, sparse_grad); |
| 4967 | } |
| 4968 | |
| 4969 | // aten::addcmul(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor |
| 4970 | inline at::Tensor Tensor::addcmul(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value) const { |
| 4971 | return at::_ops::addcmul::call(const_cast<Tensor&>(*this), tensor1, tensor2, value); |
| 4972 | } |
| 4973 | |
| 4974 | // aten::addcmul_(Tensor(a!) self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor(a!) |
| 4975 | inline at::Tensor & Tensor::addcmul_(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value) const { |
| 4976 | return at::_ops::addcmul_::call(const_cast<Tensor&>(*this), tensor1, tensor2, value); |
| 4977 | } |
| 4978 | |
| 4979 | // aten::addcdiv(Tensor self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor |
| 4980 | inline at::Tensor Tensor::addcdiv(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value) const { |
| 4981 | return at::_ops::addcdiv::call(const_cast<Tensor&>(*this), tensor1, tensor2, value); |
| 4982 | } |
| 4983 | |
| 4984 | // aten::addcdiv_(Tensor(a!) self, Tensor tensor1, Tensor tensor2, *, Scalar value=1) -> Tensor(a!) |
| 4985 | inline at::Tensor & Tensor::addcdiv_(const at::Tensor & tensor1, const at::Tensor & tensor2, const at::Scalar & value) const { |
| 4986 | return at::_ops::addcdiv_::call(const_cast<Tensor&>(*this), tensor1, tensor2, value); |
| 4987 | } |
| 4988 | |
| 4989 | // aten::triangular_solve(Tensor self, Tensor A, bool upper=True, bool transpose=False, bool unitriangular=False) -> (Tensor solution, Tensor cloned_coefficient) |
| 4990 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::triangular_solve(const at::Tensor & A, bool upper, bool transpose, bool unitriangular) const { |
| 4991 | return at::_ops::triangular_solve::call(const_cast<Tensor&>(*this), A, upper, transpose, unitriangular); |
| 4992 | } |
| 4993 | |
| 4994 | // aten::svd(Tensor self, bool some=True, bool compute_uv=True) -> (Tensor U, Tensor S, Tensor V) |
| 4995 | inline ::std::tuple<at::Tensor,at::Tensor,at::Tensor> Tensor::svd(bool some, bool compute_uv) const { |
| 4996 | return at::_ops::svd::call(const_cast<Tensor&>(*this), some, compute_uv); |
| 4997 | } |
| 4998 | |
| 4999 | // aten::swapaxes(Tensor(a) self, int axis0, int axis1) -> Tensor(a) |
| 5000 | inline at::Tensor Tensor::swapaxes(int64_t axis0, int64_t axis1) const { |
| 5001 | return at::_ops::swapaxes::call(const_cast<Tensor&>(*this), axis0, axis1); |
| 5002 | } |
| 5003 | |
| 5004 | // aten::swapaxes_(Tensor(a!) self, int axis0, int axis1) -> Tensor(a!) |
| 5005 | inline at::Tensor & Tensor::swapaxes_(int64_t axis0, int64_t axis1) const { |
| 5006 | return at::_ops::swapaxes_::call(const_cast<Tensor&>(*this), axis0, axis1); |
| 5007 | } |
| 5008 | |
| 5009 | // aten::swapdims(Tensor(a) self, int dim0, int dim1) -> Tensor(a) |
| 5010 | inline at::Tensor Tensor::swapdims(int64_t dim0, int64_t dim1) const { |
| 5011 | return at::_ops::swapdims::call(const_cast<Tensor&>(*this), dim0, dim1); |
| 5012 | } |
| 5013 | |
| 5014 | // aten::swapdims_(Tensor(a!) self, int dim0, int dim1) -> Tensor(a!) |
| 5015 | inline at::Tensor & Tensor::swapdims_(int64_t dim0, int64_t dim1) const { |
| 5016 | return at::_ops::swapdims_::call(const_cast<Tensor&>(*this), dim0, dim1); |
| 5017 | } |
| 5018 | |
| 5019 | // aten::cholesky(Tensor self, bool upper=False) -> Tensor |
| 5020 | inline at::Tensor Tensor::cholesky(bool upper) const { |
| 5021 | return at::_ops::cholesky::call(const_cast<Tensor&>(*this), upper); |
| 5022 | } |
| 5023 | |
| 5024 | // aten::cholesky_solve(Tensor self, Tensor input2, bool upper=False) -> Tensor |
| 5025 | inline at::Tensor Tensor::cholesky_solve(const at::Tensor & input2, bool upper) const { |
| 5026 | return at::_ops::cholesky_solve::call(const_cast<Tensor&>(*this), input2, upper); |
| 5027 | } |
| 5028 | |
| 5029 | // aten::cholesky_inverse(Tensor self, bool upper=False) -> Tensor |
| 5030 | inline at::Tensor Tensor::cholesky_inverse(bool upper) const { |
| 5031 | return at::_ops::cholesky_inverse::call(const_cast<Tensor&>(*this), upper); |
| 5032 | } |
| 5033 | |
| 5034 | // aten::qr(Tensor self, bool some=True) -> (Tensor Q, Tensor R) |
| 5035 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::qr(bool some) const { |
| 5036 | return at::_ops::qr::call(const_cast<Tensor&>(*this), some); |
| 5037 | } |
| 5038 | |
| 5039 | // aten::geqrf(Tensor self) -> (Tensor a, Tensor tau) |
| 5040 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::geqrf() const { |
| 5041 | return at::_ops::geqrf::call(const_cast<Tensor&>(*this)); |
| 5042 | } |
| 5043 | |
| 5044 | // aten::orgqr(Tensor self, Tensor input2) -> Tensor |
| 5045 | inline at::Tensor Tensor::orgqr(const at::Tensor & input2) const { |
| 5046 | return at::_ops::orgqr::call(const_cast<Tensor&>(*this), input2); |
| 5047 | } |
| 5048 | |
| 5049 | // aten::ormqr(Tensor self, Tensor input2, Tensor input3, bool left=True, bool transpose=False) -> Tensor |
| 5050 | inline at::Tensor Tensor::ormqr(const at::Tensor & input2, const at::Tensor & input3, bool left, bool transpose) const { |
| 5051 | return at::_ops::ormqr::call(const_cast<Tensor&>(*this), input2, input3, left, transpose); |
| 5052 | } |
| 5053 | |
| 5054 | // aten::lu_solve(Tensor self, Tensor LU_data, Tensor LU_pivots) -> Tensor |
| 5055 | inline at::Tensor Tensor::lu_solve(const at::Tensor & LU_data, const at::Tensor & LU_pivots) const { |
| 5056 | return at::_ops::lu_solve::call(const_cast<Tensor&>(*this), LU_data, LU_pivots); |
| 5057 | } |
| 5058 | |
| 5059 | // aten::multinomial(Tensor self, int num_samples, bool replacement=False, *, Generator? generator=None) -> Tensor |
| 5060 | inline at::Tensor Tensor::multinomial(int64_t num_samples, bool replacement, c10::optional<at::Generator> generator) const { |
| 5061 | return at::_ops::multinomial::call(const_cast<Tensor&>(*this), num_samples, replacement, generator); |
| 5062 | } |
| 5063 | |
| 5064 | // aten::lgamma_(Tensor(a!) self) -> Tensor(a!) |
| 5065 | inline at::Tensor & Tensor::lgamma_() const { |
| 5066 | return at::_ops::lgamma_::call(const_cast<Tensor&>(*this)); |
| 5067 | } |
| 5068 | |
| 5069 | // aten::lgamma(Tensor self) -> Tensor |
| 5070 | inline at::Tensor Tensor::lgamma() const { |
| 5071 | return at::_ops::lgamma::call(const_cast<Tensor&>(*this)); |
| 5072 | } |
| 5073 | |
| 5074 | // aten::digamma(Tensor self) -> Tensor |
| 5075 | inline at::Tensor Tensor::digamma() const { |
| 5076 | return at::_ops::digamma::call(const_cast<Tensor&>(*this)); |
| 5077 | } |
| 5078 | |
| 5079 | // aten::polygamma(int n, Tensor self) -> Tensor |
| 5080 | inline at::Tensor Tensor::polygamma(int64_t n) const { |
| 5081 | return at::_ops::polygamma::call(n, const_cast<Tensor&>(*this)); |
| 5082 | } |
| 5083 | |
| 5084 | // aten::polygamma_(Tensor(a!) self, int n) -> Tensor(a!) |
| 5085 | inline at::Tensor & Tensor::polygamma_(int64_t n) const { |
| 5086 | return at::_ops::polygamma_::call(const_cast<Tensor&>(*this), n); |
| 5087 | } |
| 5088 | |
| 5089 | // aten::erfinv(Tensor self) -> Tensor |
| 5090 | inline at::Tensor Tensor::erfinv() const { |
| 5091 | return at::_ops::erfinv::call(const_cast<Tensor&>(*this)); |
| 5092 | } |
| 5093 | |
| 5094 | // aten::erfinv_(Tensor(a!) self) -> Tensor(a!) |
| 5095 | inline at::Tensor & Tensor::erfinv_() const { |
| 5096 | return at::_ops::erfinv_::call(const_cast<Tensor&>(*this)); |
| 5097 | } |
| 5098 | |
| 5099 | // aten::i0(Tensor self) -> Tensor |
| 5100 | inline at::Tensor Tensor::i0() const { |
| 5101 | return at::_ops::i0::call(const_cast<Tensor&>(*this)); |
| 5102 | } |
| 5103 | |
| 5104 | // aten::i0_(Tensor(a!) self) -> Tensor(a!) |
| 5105 | inline at::Tensor & Tensor::i0_() const { |
| 5106 | return at::_ops::i0_::call(const_cast<Tensor&>(*this)); |
| 5107 | } |
| 5108 | |
| 5109 | // aten::sign(Tensor self) -> Tensor |
| 5110 | inline at::Tensor Tensor::sign() const { |
| 5111 | return at::_ops::sign::call(const_cast<Tensor&>(*this)); |
| 5112 | } |
| 5113 | |
| 5114 | // aten::sign_(Tensor(a!) self) -> Tensor(a!) |
| 5115 | inline at::Tensor & Tensor::sign_() const { |
| 5116 | return at::_ops::sign_::call(const_cast<Tensor&>(*this)); |
| 5117 | } |
| 5118 | |
| 5119 | // aten::signbit(Tensor self) -> Tensor |
| 5120 | inline at::Tensor Tensor::signbit() const { |
| 5121 | return at::_ops::signbit::call(const_cast<Tensor&>(*this)); |
| 5122 | } |
| 5123 | |
| 5124 | // aten::dist(Tensor self, Tensor other, Scalar p=2) -> Tensor |
| 5125 | inline at::Tensor Tensor::dist(const at::Tensor & other, const at::Scalar & p) const { |
| 5126 | return at::_ops::dist::call(const_cast<Tensor&>(*this), other, p); |
| 5127 | } |
| 5128 | |
| 5129 | // aten::atan2_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5130 | inline at::Tensor & Tensor::atan2_(const at::Tensor & other) const { |
| 5131 | return at::_ops::atan2_::call(const_cast<Tensor&>(*this), other); |
| 5132 | } |
| 5133 | |
| 5134 | // aten::atan2(Tensor self, Tensor other) -> Tensor |
| 5135 | inline at::Tensor Tensor::atan2(const at::Tensor & other) const { |
| 5136 | return at::_ops::atan2::call(const_cast<Tensor&>(*this), other); |
| 5137 | } |
| 5138 | |
| 5139 | // aten::arctan2(Tensor self, Tensor other) -> Tensor |
| 5140 | inline at::Tensor Tensor::arctan2(const at::Tensor & other) const { |
| 5141 | return at::_ops::arctan2::call(const_cast<Tensor&>(*this), other); |
| 5142 | } |
| 5143 | |
| 5144 | // aten::arctan2_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5145 | inline at::Tensor & Tensor::arctan2_(const at::Tensor & other) const { |
| 5146 | return at::_ops::arctan2_::call(const_cast<Tensor&>(*this), other); |
| 5147 | } |
| 5148 | |
| 5149 | // aten::lerp.Scalar(Tensor self, Tensor end, Scalar weight) -> Tensor |
| 5150 | inline at::Tensor Tensor::lerp(const at::Tensor & end, const at::Scalar & weight) const { |
| 5151 | return at::_ops::lerp_Scalar::call(const_cast<Tensor&>(*this), end, weight); |
| 5152 | } |
| 5153 | |
| 5154 | // aten::lerp.Tensor(Tensor self, Tensor end, Tensor weight) -> Tensor |
| 5155 | inline at::Tensor Tensor::lerp(const at::Tensor & end, const at::Tensor & weight) const { |
| 5156 | return at::_ops::lerp_Tensor::call(const_cast<Tensor&>(*this), end, weight); |
| 5157 | } |
| 5158 | |
| 5159 | // aten::histc(Tensor self, int bins=100, Scalar min=0, Scalar max=0) -> Tensor |
| 5160 | inline at::Tensor Tensor::histc(int64_t bins, const at::Scalar & min, const at::Scalar & max) const { |
| 5161 | return at::_ops::histc::call(const_cast<Tensor&>(*this), bins, min, max); |
| 5162 | } |
| 5163 | |
| 5164 | // aten::histogram.bins_tensor(Tensor self, Tensor bins, *, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor bin_edges) |
| 5165 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::histogram(const at::Tensor & bins, const c10::optional<at::Tensor> & weight, bool density) const { |
| 5166 | return at::_ops::histogram_bins_tensor::call(const_cast<Tensor&>(*this), bins, weight, density); |
| 5167 | } |
| 5168 | |
| 5169 | // aten::histogram.bin_ct(Tensor self, int bins=100, *, float[]? range=None, Tensor? weight=None, bool density=False) -> (Tensor hist, Tensor bin_edges) |
| 5170 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::histogram(int64_t bins, c10::optional<at::ArrayRef<double>> range, const c10::optional<at::Tensor> & weight, bool density) const { |
| 5171 | return at::_ops::histogram_bin_ct::call(const_cast<Tensor&>(*this), bins, range, weight, density); |
| 5172 | } |
| 5173 | |
| 5174 | // aten::fmod.Scalar(Tensor self, Scalar other) -> Tensor |
| 5175 | inline at::Tensor Tensor::fmod(const at::Scalar & other) const { |
| 5176 | return at::_ops::fmod_Scalar::call(const_cast<Tensor&>(*this), other); |
| 5177 | } |
| 5178 | |
| 5179 | // aten::fmod_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 5180 | inline at::Tensor & Tensor::fmod_(const at::Scalar & other) const { |
| 5181 | return at::_ops::fmod__Scalar::call(const_cast<Tensor&>(*this), other); |
| 5182 | } |
| 5183 | |
| 5184 | // aten::fmod.Tensor(Tensor self, Tensor other) -> Tensor |
| 5185 | inline at::Tensor Tensor::fmod(const at::Tensor & other) const { |
| 5186 | return at::_ops::fmod_Tensor::call(const_cast<Tensor&>(*this), other); |
| 5187 | } |
| 5188 | |
| 5189 | // aten::fmod_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5190 | inline at::Tensor & Tensor::fmod_(const at::Tensor & other) const { |
| 5191 | return at::_ops::fmod__Tensor::call(const_cast<Tensor&>(*this), other); |
| 5192 | } |
| 5193 | |
| 5194 | // aten::hypot(Tensor self, Tensor other) -> Tensor |
| 5195 | inline at::Tensor Tensor::hypot(const at::Tensor & other) const { |
| 5196 | return at::_ops::hypot::call(const_cast<Tensor&>(*this), other); |
| 5197 | } |
| 5198 | |
| 5199 | // aten::hypot_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5200 | inline at::Tensor & Tensor::hypot_(const at::Tensor & other) const { |
| 5201 | return at::_ops::hypot_::call(const_cast<Tensor&>(*this), other); |
| 5202 | } |
| 5203 | |
| 5204 | // aten::igamma(Tensor self, Tensor other) -> Tensor |
| 5205 | inline at::Tensor Tensor::igamma(const at::Tensor & other) const { |
| 5206 | return at::_ops::igamma::call(const_cast<Tensor&>(*this), other); |
| 5207 | } |
| 5208 | |
| 5209 | // aten::igamma_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5210 | inline at::Tensor & Tensor::igamma_(const at::Tensor & other) const { |
| 5211 | return at::_ops::igamma_::call(const_cast<Tensor&>(*this), other); |
| 5212 | } |
| 5213 | |
| 5214 | // aten::igammac(Tensor self, Tensor other) -> Tensor |
| 5215 | inline at::Tensor Tensor::igammac(const at::Tensor & other) const { |
| 5216 | return at::_ops::igammac::call(const_cast<Tensor&>(*this), other); |
| 5217 | } |
| 5218 | |
| 5219 | // aten::igammac_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5220 | inline at::Tensor & Tensor::igammac_(const at::Tensor & other) const { |
| 5221 | return at::_ops::igammac_::call(const_cast<Tensor&>(*this), other); |
| 5222 | } |
| 5223 | |
| 5224 | // aten::nextafter(Tensor self, Tensor other) -> Tensor |
| 5225 | inline at::Tensor Tensor::nextafter(const at::Tensor & other) const { |
| 5226 | return at::_ops::nextafter::call(const_cast<Tensor&>(*this), other); |
| 5227 | } |
| 5228 | |
| 5229 | // aten::nextafter_(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5230 | inline at::Tensor & Tensor::nextafter_(const at::Tensor & other) const { |
| 5231 | return at::_ops::nextafter_::call(const_cast<Tensor&>(*this), other); |
| 5232 | } |
| 5233 | |
| 5234 | // aten::remainder.Scalar(Tensor self, Scalar other) -> Tensor |
| 5235 | inline at::Tensor Tensor::remainder(const at::Scalar & other) const { |
| 5236 | return at::_ops::remainder_Scalar::call(const_cast<Tensor&>(*this), other); |
| 5237 | } |
| 5238 | |
| 5239 | // aten::remainder_.Scalar(Tensor(a!) self, Scalar other) -> Tensor(a!) |
| 5240 | inline at::Tensor & Tensor::remainder_(const at::Scalar & other) const { |
| 5241 | return at::_ops::remainder__Scalar::call(const_cast<Tensor&>(*this), other); |
| 5242 | } |
| 5243 | |
| 5244 | // aten::remainder.Tensor(Tensor self, Tensor other) -> Tensor |
| 5245 | inline at::Tensor Tensor::remainder(const at::Tensor & other) const { |
| 5246 | return at::_ops::remainder_Tensor::call(const_cast<Tensor&>(*this), other); |
| 5247 | } |
| 5248 | |
| 5249 | // aten::remainder_.Tensor(Tensor(a!) self, Tensor other) -> Tensor(a!) |
| 5250 | inline at::Tensor & Tensor::remainder_(const at::Tensor & other) const { |
| 5251 | return at::_ops::remainder__Tensor::call(const_cast<Tensor&>(*this), other); |
| 5252 | } |
| 5253 | |
| 5254 | // aten::min(Tensor self) -> Tensor |
| 5255 | inline at::Tensor Tensor::min() const { |
| 5256 | return at::_ops::min::call(const_cast<Tensor&>(*this)); |
| 5257 | } |
| 5258 | |
| 5259 | // aten::fmin(Tensor self, Tensor other) -> Tensor |
| 5260 | inline at::Tensor Tensor::fmin(const at::Tensor & other) const { |
| 5261 | return at::_ops::fmin::call(const_cast<Tensor&>(*this), other); |
| 5262 | } |
| 5263 | |
| 5264 | // aten::max(Tensor self) -> Tensor |
| 5265 | inline at::Tensor Tensor::max() const { |
| 5266 | return at::_ops::max::call(const_cast<Tensor&>(*this)); |
| 5267 | } |
| 5268 | |
| 5269 | // aten::fmax(Tensor self, Tensor other) -> Tensor |
| 5270 | inline at::Tensor Tensor::fmax(const at::Tensor & other) const { |
| 5271 | return at::_ops::fmax::call(const_cast<Tensor&>(*this), other); |
| 5272 | } |
| 5273 | |
| 5274 | // aten::maximum(Tensor self, Tensor other) -> Tensor |
| 5275 | inline at::Tensor Tensor::maximum(const at::Tensor & other) const { |
| 5276 | return at::_ops::maximum::call(const_cast<Tensor&>(*this), other); |
| 5277 | } |
| 5278 | |
| 5279 | // aten::max.other(Tensor self, Tensor other) -> Tensor |
| 5280 | inline at::Tensor Tensor::max(const at::Tensor & other) const { |
| 5281 | return at::_ops::max_other::call(const_cast<Tensor&>(*this), other); |
| 5282 | } |
| 5283 | |
| 5284 | // aten::minimum(Tensor self, Tensor other) -> Tensor |
| 5285 | inline at::Tensor Tensor::minimum(const at::Tensor & other) const { |
| 5286 | return at::_ops::minimum::call(const_cast<Tensor&>(*this), other); |
| 5287 | } |
| 5288 | |
| 5289 | // aten::min.other(Tensor self, Tensor other) -> Tensor |
| 5290 | inline at::Tensor Tensor::min(const at::Tensor & other) const { |
| 5291 | return at::_ops::min_other::call(const_cast<Tensor&>(*this), other); |
| 5292 | } |
| 5293 | |
| 5294 | // aten::quantile(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 5295 | inline at::Tensor Tensor::quantile(const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) const { |
| 5296 | return at::_ops::quantile::call(const_cast<Tensor&>(*this), q, dim, keepdim, interpolation); |
| 5297 | } |
| 5298 | |
| 5299 | // aten::quantile.scalar(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 5300 | inline at::Tensor Tensor::quantile(double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) const { |
| 5301 | return at::_ops::quantile_scalar::call(const_cast<Tensor&>(*this), q, dim, keepdim, interpolation); |
| 5302 | } |
| 5303 | |
| 5304 | // aten::nanquantile(Tensor self, Tensor q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 5305 | inline at::Tensor Tensor::nanquantile(const at::Tensor & q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) const { |
| 5306 | return at::_ops::nanquantile::call(const_cast<Tensor&>(*this), q, dim, keepdim, interpolation); |
| 5307 | } |
| 5308 | |
| 5309 | // aten::nanquantile.scalar(Tensor self, float q, int? dim=None, bool keepdim=False, *, str interpolation='linear') -> Tensor |
| 5310 | inline at::Tensor Tensor::nanquantile(double q, c10::optional<int64_t> dim, bool keepdim, c10::string_view interpolation) const { |
| 5311 | return at::_ops::nanquantile_scalar::call(const_cast<Tensor&>(*this), q, dim, keepdim, interpolation); |
| 5312 | } |
| 5313 | |
| 5314 | // aten::sort(Tensor self, int dim=-1, bool descending=False) -> (Tensor values, Tensor indices) |
| 5315 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::sort(int64_t dim, bool descending) const { |
| 5316 | return at::_ops::sort::call(const_cast<Tensor&>(*this), dim, descending); |
| 5317 | } |
| 5318 | |
| 5319 | // aten::sort.stable(Tensor self, *, bool? stable, int dim=-1, bool descending=False) -> (Tensor values, Tensor indices) |
| 5320 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::sort(c10::optional<bool> stable, int64_t dim, bool descending) const { |
| 5321 | return at::_ops::sort_stable::call(const_cast<Tensor&>(*this), stable, dim, descending); |
| 5322 | } |
| 5323 | |
| 5324 | // aten::sort.dimname(Tensor self, Dimname dim, bool descending=False) -> (Tensor values, Tensor indices) |
| 5325 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::sort(at::Dimname dim, bool descending) const { |
| 5326 | return at::_ops::sort_dimname::call(const_cast<Tensor&>(*this), dim, descending); |
| 5327 | } |
| 5328 | |
| 5329 | // aten::sort.dimname_stable(Tensor self, *, bool? stable, Dimname dim, bool descending=False) -> (Tensor values, Tensor indices) |
| 5330 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::sort(c10::optional<bool> stable, at::Dimname dim, bool descending) const { |
| 5331 | return at::_ops::sort_dimname_stable::call(const_cast<Tensor&>(*this), stable, dim, descending); |
| 5332 | } |
| 5333 | |
| 5334 | // aten::msort(Tensor self) -> Tensor |
| 5335 | inline at::Tensor Tensor::msort() const { |
| 5336 | return at::_ops::msort::call(const_cast<Tensor&>(*this)); |
| 5337 | } |
| 5338 | |
| 5339 | // aten::argsort(Tensor self, int dim=-1, bool descending=False) -> Tensor |
| 5340 | inline at::Tensor Tensor::argsort(int64_t dim, bool descending) const { |
| 5341 | return at::_ops::argsort::call(const_cast<Tensor&>(*this), dim, descending); |
| 5342 | } |
| 5343 | |
| 5344 | // aten::argsort.stable(Tensor self, *, bool stable, int dim=-1, bool descending=False) -> Tensor |
| 5345 | inline at::Tensor Tensor::argsort(bool stable, int64_t dim, bool descending) const { |
| 5346 | return at::_ops::argsort_stable::call(const_cast<Tensor&>(*this), stable, dim, descending); |
| 5347 | } |
| 5348 | |
| 5349 | // aten::argsort.dimname(Tensor self, Dimname dim, bool descending=False) -> Tensor |
| 5350 | inline at::Tensor Tensor::argsort(at::Dimname dim, bool descending) const { |
| 5351 | return at::_ops::argsort_dimname::call(const_cast<Tensor&>(*this), dim, descending); |
| 5352 | } |
| 5353 | |
| 5354 | // aten::topk(Tensor self, int k, int dim=-1, bool largest=True, bool sorted=True) -> (Tensor values, Tensor indices) |
| 5355 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::topk(int64_t k, int64_t dim, bool largest, bool sorted) const { |
| 5356 | return at::_ops::topk::call(const_cast<Tensor&>(*this), k, dim, largest, sorted); |
| 5357 | } |
| 5358 | |
| 5359 | // aten::all(Tensor self) -> Tensor |
| 5360 | inline at::Tensor Tensor::all() const { |
| 5361 | return at::_ops::all::call(const_cast<Tensor&>(*this)); |
| 5362 | } |
| 5363 | |
| 5364 | // aten::any(Tensor self) -> Tensor |
| 5365 | inline at::Tensor Tensor::any() const { |
| 5366 | return at::_ops::any::call(const_cast<Tensor&>(*this)); |
| 5367 | } |
| 5368 | |
| 5369 | // aten::renorm(Tensor self, Scalar p, int dim, Scalar maxnorm) -> Tensor |
| 5370 | inline at::Tensor Tensor::renorm(const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) const { |
| 5371 | return at::_ops::renorm::call(const_cast<Tensor&>(*this), p, dim, maxnorm); |
| 5372 | } |
| 5373 | |
| 5374 | // aten::renorm_(Tensor(a!) self, Scalar p, int dim, Scalar maxnorm) -> Tensor(a!) |
| 5375 | inline at::Tensor & Tensor::renorm_(const at::Scalar & p, int64_t dim, const at::Scalar & maxnorm) const { |
| 5376 | return at::_ops::renorm_::call(const_cast<Tensor&>(*this), p, dim, maxnorm); |
| 5377 | } |
| 5378 | |
| 5379 | // aten::unfold(Tensor(a) self, int dimension, int size, int step) -> Tensor(a) |
| 5380 | inline at::Tensor Tensor::unfold(int64_t dimension, int64_t size, int64_t step) const { |
| 5381 | return at::_ops::unfold::call(const_cast<Tensor&>(*this), dimension, size, step); |
| 5382 | } |
| 5383 | |
| 5384 | // aten::equal(Tensor self, Tensor other) -> bool |
| 5385 | inline bool Tensor::equal(const at::Tensor & other) const { |
| 5386 | return at::_ops::equal::call(const_cast<Tensor&>(*this), other); |
| 5387 | } |
| 5388 | |
| 5389 | // aten::pow.Tensor_Tensor(Tensor self, Tensor exponent) -> Tensor |
| 5390 | inline at::Tensor Tensor::pow(const at::Tensor & exponent) const { |
| 5391 | return at::_ops::pow_Tensor_Tensor::call(const_cast<Tensor&>(*this), exponent); |
| 5392 | } |
| 5393 | |
| 5394 | // aten::pow.Tensor_Scalar(Tensor self, Scalar exponent) -> Tensor |
| 5395 | inline at::Tensor Tensor::pow(const at::Scalar & exponent) const { |
| 5396 | return at::_ops::pow_Tensor_Scalar::call(const_cast<Tensor&>(*this), exponent); |
| 5397 | } |
| 5398 | |
| 5399 | // aten::pow_.Scalar(Tensor(a!) self, Scalar exponent) -> Tensor(a!) |
| 5400 | inline at::Tensor & Tensor::pow_(const at::Scalar & exponent) const { |
| 5401 | return at::_ops::pow__Scalar::call(const_cast<Tensor&>(*this), exponent); |
| 5402 | } |
| 5403 | |
| 5404 | // aten::pow_.Tensor(Tensor(a!) self, Tensor exponent) -> Tensor(a!) |
| 5405 | inline at::Tensor & Tensor::pow_(const at::Tensor & exponent) const { |
| 5406 | return at::_ops::pow__Tensor::call(const_cast<Tensor&>(*this), exponent); |
| 5407 | } |
| 5408 | |
| 5409 | // aten::float_power.Tensor_Tensor(Tensor self, Tensor exponent) -> Tensor |
| 5410 | inline at::Tensor Tensor::float_power(const at::Tensor & exponent) const { |
| 5411 | return at::_ops::float_power_Tensor_Tensor::call(const_cast<Tensor&>(*this), exponent); |
| 5412 | } |
| 5413 | |
| 5414 | // aten::float_power.Tensor_Scalar(Tensor self, Scalar exponent) -> Tensor |
| 5415 | inline at::Tensor Tensor::float_power(const at::Scalar & exponent) const { |
| 5416 | return at::_ops::float_power_Tensor_Scalar::call(const_cast<Tensor&>(*this), exponent); |
| 5417 | } |
| 5418 | |
| 5419 | // aten::float_power_.Scalar(Tensor(a!) self, Scalar exponent) -> Tensor(a!) |
| 5420 | inline at::Tensor & Tensor::float_power_(const at::Scalar & exponent) const { |
| 5421 | return at::_ops::float_power__Scalar::call(const_cast<Tensor&>(*this), exponent); |
| 5422 | } |
| 5423 | |
| 5424 | // aten::float_power_.Tensor(Tensor(a!) self, Tensor exponent) -> Tensor(a!) |
| 5425 | inline at::Tensor & Tensor::float_power_(const at::Tensor & exponent) const { |
| 5426 | return at::_ops::float_power__Tensor::call(const_cast<Tensor&>(*this), exponent); |
| 5427 | } |
| 5428 | |
| 5429 | // aten::normal_(Tensor(a!) self, float mean=0, float std=1, *, Generator? generator=None) -> Tensor(a!) |
| 5430 | inline at::Tensor & Tensor::normal_(double mean, double std, c10::optional<at::Generator> generator) const { |
| 5431 | return at::_ops::normal_::call(const_cast<Tensor&>(*this), mean, std, generator); |
| 5432 | } |
| 5433 | |
| 5434 | // aten::alias(Tensor(a) self) -> Tensor(a) |
| 5435 | inline at::Tensor Tensor::alias() const { |
| 5436 | return at::_ops::alias::call(const_cast<Tensor&>(*this)); |
| 5437 | } |
| 5438 | |
| 5439 | // aten::isfinite(Tensor self) -> Tensor |
| 5440 | inline at::Tensor Tensor::isfinite() const { |
| 5441 | return at::_ops::isfinite::call(const_cast<Tensor&>(*this)); |
| 5442 | } |
| 5443 | |
| 5444 | // aten::isinf(Tensor self) -> Tensor |
| 5445 | inline at::Tensor Tensor::isinf() const { |
| 5446 | return at::_ops::isinf::call(const_cast<Tensor&>(*this)); |
| 5447 | } |
| 5448 | |
| 5449 | // aten::record_stream(Tensor(a!) self, Stream s) -> () |
| 5450 | inline void Tensor::record_stream(at::Stream s) const { |
| 5451 | return at::_ops::record_stream::call(const_cast<Tensor&>(*this), s); |
| 5452 | } |
| 5453 | |
| 5454 | // aten::isposinf(Tensor self) -> Tensor |
| 5455 | inline at::Tensor Tensor::isposinf() const { |
| 5456 | return at::_ops::isposinf::call(const_cast<Tensor&>(*this)); |
| 5457 | } |
| 5458 | |
| 5459 | // aten::isneginf(Tensor self) -> Tensor |
| 5460 | inline at::Tensor Tensor::isneginf() const { |
| 5461 | return at::_ops::isneginf::call(const_cast<Tensor&>(*this)); |
| 5462 | } |
| 5463 | |
| 5464 | // aten::det(Tensor self) -> Tensor |
| 5465 | inline at::Tensor Tensor::det() const { |
| 5466 | return at::_ops::det::call(const_cast<Tensor&>(*this)); |
| 5467 | } |
| 5468 | |
| 5469 | // aten::slogdet(Tensor self) -> (Tensor sign, Tensor logabsdet) |
| 5470 | inline ::std::tuple<at::Tensor,at::Tensor> Tensor::slogdet() const { |
| 5471 | return at::_ops::slogdet::call(const_cast<Tensor&>(*this)); |
| 5472 | } |
| 5473 | |
| 5474 | // aten::logdet(Tensor self) -> Tensor |
| 5475 | inline at::Tensor Tensor::logdet() const { |
| 5476 | return at::_ops::logdet::call(const_cast<Tensor&>(*this)); |
| 5477 | } |
| 5478 | |
| 5479 | // aten::inverse(Tensor self) -> Tensor |
| 5480 | inline at::Tensor Tensor::inverse() const { |
| 5481 | return at::_ops::inverse::call(const_cast<Tensor&>(*this)); |
| 5482 | } |
| 5483 | |
| 5484 | // aten::inner(Tensor self, Tensor other) -> Tensor |
| 5485 | inline at::Tensor Tensor::inner(const at::Tensor & other) const { |
| 5486 | return at::_ops::inner::call(const_cast<Tensor&>(*this), other); |
| 5487 | } |
| 5488 | |
| 5489 | // aten::outer(Tensor self, Tensor vec2) -> Tensor |
| 5490 | inline at::Tensor Tensor::outer(const at::Tensor & vec2) const { |
| 5491 | return at::_ops::outer::call(const_cast<Tensor&>(*this), vec2); |
| 5492 | } |
| 5493 | |
| 5494 | // aten::ger(Tensor self, Tensor vec2) -> Tensor |
| 5495 | inline at::Tensor Tensor::ger(const at::Tensor & vec2) const { |
| 5496 | return at::_ops::ger::call(const_cast<Tensor&>(*this), vec2); |
| 5497 | } |
| 5498 | |
| 5499 | // aten::to_padded_tensor(Tensor self, float padding, SymInt[]? output_size=None) -> Tensor |
| 5500 | inline at::Tensor Tensor::to_padded_tensor(double padding, at::OptionalIntArrayRef output_size) const { |
| 5501 | return at::_ops::to_padded_tensor::call(const_cast<Tensor&>(*this), padding, output_size.has_value() ? c10::make_optional(c10::fromIntArrayRefSlow(*output_size)) : c10::nullopt); |
| 5502 | } |
| 5503 | |
| 5504 | // aten::to_padded_tensor(Tensor self, float padding, SymInt[]? output_size=None) -> Tensor |
| 5505 | inline at::Tensor Tensor::to_padded_tensor_symint(double padding, at::OptionalSymIntArrayRef output_size) const { |
| 5506 | return at::_ops::to_padded_tensor::call(const_cast<Tensor&>(*this), padding, output_size); |
| 5507 | } |
| 5508 | } // namespace at |
| 5509 | |
| 5510 | |
| 5511 | namespace c10 { |
| 5512 | template <> |
| 5513 | struct MaybeOwnedTraits<at::Tensor> { |
| 5514 | using owned_type = at::Tensor; |
| 5515 | using borrow_type = at::Tensor; |
| 5516 | |
| 5517 | static borrow_type createBorrow(const owned_type& from) { |
| 5518 | // NOTE: this can be implemented without the special |
| 5519 | // unsafe_borrow_t Tensor constructor as |
| 5520 | // |
| 5521 | // return borrow_type(c10::intrusive_ptr<at::TensorImpl, at::UndefinedTensorImpl>::reclaim(from.unsafeGetTensorImpl())); |
| 5522 | // |
| 5523 | // but that hurts inlining due to the nullptr check in the |
| 5524 | // Tensor(c10::intrusive_ptr<...>) constructor. We already know |
| 5525 | // that from.impl_ isn't null because from is a valid Tensor, so |
| 5526 | // we needn't do the check again. (using __builtin_assume can |
| 5527 | // avoid this, but wouldn't be portable to MSVC.) |
| 5528 | return borrow_type(borrow_type::unsafe_borrow_t{}, from); |
| 5529 | } |
| 5530 | |
| 5531 | static void assignBorrow(borrow_type& lhs, const borrow_type& rhs) { |
| 5532 | lhs.unsafeReleaseTensorImpl(); |
| 5533 | // See above note: this can be implemented with public API |
| 5534 | // similarly to createBorrow(), but that would hurt inlining. |
| 5535 | lhs = borrow_type(borrow_type::unsafe_borrow_t{}, rhs); |
| 5536 | } |
| 5537 | |
| 5538 | static void destroyBorrow(borrow_type& toDestroy) { |
| 5539 | toDestroy.unsafeReleaseTensorImpl(); // "leak" it, but it was already +0. |
| 5540 | } |
| 5541 | |
| 5542 | static const owned_type& referenceFromBorrow(const borrow_type& borrow) { |
| 5543 | return borrow; |
| 5544 | } |
| 5545 | |
| 5546 | static const owned_type* pointerFromBorrow(const borrow_type& borrow) { |
| 5547 | return &borrow; |
| 5548 | } |
| 5549 | |
| 5550 | static bool debugBorrowIsValid(const borrow_type& /*borrow*/) { |
| 5551 | return true; |
| 5552 | } |
| 5553 | }; |
| 5554 | |
| 5555 | template <> |
| 5556 | struct ExclusivelyOwnedTraits<at::Tensor> { |
| 5557 | using repr_type = at::Tensor; |
| 5558 | using pointer_type = at::Tensor*; |
| 5559 | using const_pointer_type = const at::Tensor*; |
| 5560 | |
| 5561 | static repr_type nullRepr() { |
| 5562 | return at::Tensor(); |
| 5563 | } |
| 5564 | |
| 5565 | template <class... Args> |
| 5566 | static repr_type createInPlace(Args&&... args) { |
| 5567 | return at::Tensor(std::forward<Args>(args)...); |
| 5568 | } |
| 5569 | |
| 5570 | static repr_type moveToRepr(at::Tensor&& x) { |
| 5571 | return std::move(x); |
| 5572 | } |
| 5573 | |
| 5574 | static void destroyOwned(at::Tensor& x) { |
| 5575 | return ExclusivelyOwnedTraits<at::TensorBase>::destroyOwned(x); |
| 5576 | } |
| 5577 | |
| 5578 | static at::Tensor take(at::Tensor& x) { |
| 5579 | return std::move(x); |
| 5580 | } |
| 5581 | |
| 5582 | static pointer_type getImpl(repr_type& x) { |
| 5583 | return &x; |
| 5584 | } |
| 5585 | |
| 5586 | static const_pointer_type getImpl(const repr_type& x) { |
| 5587 | return &x; |
| 5588 | } |
| 5589 | }; |
| 5590 | } // namespace c10 |
| 5591 | |
| 5592 | namespace at { |
| 5593 | |
| 5594 | inline c10::MaybeOwned<Tensor> borrow_from_optional_tensor( |
| 5595 | const c10::optional<Tensor>& opt) { |
| 5596 | return opt.has_value() |
| 5597 | ? c10::MaybeOwned<Tensor>::borrowed(*opt) |
| 5598 | : c10::MaybeOwned<Tensor>::owned(c10::in_place); |
| 5599 | } |
| 5600 | |
| 5601 | inline c10::MaybeOwned<Tensor> Tensor::expect_contiguous(MemoryFormat memory_format) const & { |
| 5602 | if (is_contiguous(memory_format)) { |
| 5603 | return c10::MaybeOwned<Tensor>::borrowed(*this); |
| 5604 | } else { |
| 5605 | return c10::MaybeOwned<Tensor>::owned(__dispatch_contiguous(memory_format)); |
| 5606 | } |
| 5607 | } |
| 5608 | } // namespace at |
| 5609 |
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