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TensorMethods.h
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TensorMethods.h
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#pragma once
#include <c10/core/Scalar.h>
#include <c10/core/MemoryFormat.h>
#include <c10/core/QScheme.h>
#include <c10/macros/Macros.h>
#include <c10/core/TensorOptions.h>
#include <c10/util/intrusive_ptr.h>
#include <ATen/core/DeprecatedTypeProperties.h>
#include <ATen/core/ATenDispatch.h>
#include <ATen/core/dispatch/Dispatcher.h>
#include <ATen/core/NamedTensor.h>
#include <ATen/core/EnableNamedTensor.h>
#include <ATen/core/LegacyTypeDispatch.h>
#ifdef USE_STATIC_DISPATCH
#include <ATen/TypeDefault.h>
#include <ATen/CPUType.h>
#include <ATen/QuantizedCPUType.h>
#include <ATen/SparseCPUType.h>
#endif
namespace at {
struct Quantizer;
// This is temporary typedef to enable Quantizer in aten native function API
// we'll remove them when we are actually exposing Quantizer class
// to frontend
using ConstQuantizerPtr = const c10::intrusive_ptr<Quantizer>&;
inline Tensor Tensor::cpu() const {
return to(options().device(DeviceType::CPU), /*non_blocking*/ false, /*copy*/ false);
}
// TODO: The Python version also accepts arguments
inline Tensor Tensor::cuda() const {
return to(options().device(DeviceType::CUDA), /*non_blocking*/ false, /*copy*/ false);
}
inline Tensor Tensor::hip() const {
return to(options().device(DeviceType::HIP), /*non_blocking*/ false, /*copy*/ false);
}
inline Tensor Tensor::toType(ScalarType t) const {
return to(options().dtype(t), /*non_blocking*/ false, /*copy*/ false);
}
// TODO: Deprecate me
inline Tensor Tensor::toBackend(Backend b) const {
return to(options().device(backendToDeviceType(b)).layout(layout_from_backend(b)), /*non_blocking*/ false, /*copy*/ false);
}
inline TensorOptions Tensor::options() const {
return TensorOptions().dtype(dtype())
.device(device())
.layout(layout())
.is_variable(is_variable());
}
// all static inline to allow for inlining of the non-dynamic part of dispatch
inline void Tensor::backward(const Tensor & gradient, bool keep_graph, bool create_graph) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
TypeDefault::backward(const_cast<Tensor&>(*this), gradient, keep_graph, create_graph);
#else
static auto table = globalATenDispatch().getOpTable("aten::backward(Tensor self, Tensor? gradient=None, bool keep_graph=False, bool create_graph=False) -> void");
return table->callUnboxed<void, const Tensor &, const Tensor &, bool, bool>(const_cast<Tensor&>(*this), gradient, keep_graph, create_graph);
#endif
}
inline void Tensor::set_data(const Tensor & new_data) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
TypeDefault::set_data(const_cast<Tensor&>(*this), new_data);
#else
static auto table = globalATenDispatch().getOpTable("aten::set_data(Tensor(a!) self, Tensor new_data) -> void");
return table->callUnboxed<void, const Tensor &, const Tensor &>(const_cast<Tensor&>(*this), new_data);
#endif
}
inline Tensor Tensor::data() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::data(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::data", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline bool Tensor::is_leaf() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::is_leaf(const_cast<Tensor&>(*this));
#else
static auto table = globalATenDispatch().getOpTable("aten::is_leaf(Tensor self) -> bool");
return table->callUnboxed<bool, const Tensor &>(const_cast<Tensor&>(*this));
#endif
}
inline int64_t Tensor::output_nr() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::output_nr(const_cast<Tensor&>(*this));
#else
static auto table = globalATenDispatch().getOpTable("aten::output_nr(Tensor self) -> int");
return table->callUnboxed<int64_t, const Tensor &>(const_cast<Tensor&>(*this));
#endif
}
inline int64_t Tensor::_version() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::_version(const_cast<Tensor&>(*this));
#else
static auto table = globalATenDispatch().getOpTable("aten::_version(Tensor self) -> int");
return table->callUnboxed<int64_t, const Tensor &>(const_cast<Tensor&>(*this));
#endif
}
#ifdef BUILD_NAMEDTENSOR
inline Tensor & Tensor::rename_(c10::optional<DimnameList> names) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::rename_(const_cast<Tensor&>(*this), names);
#else
static auto table = globalATenDispatch().getOpTable("aten::rename_(Tensor(a!) self, Dimname[]? names) -> Tensor(a!)");
return table->callUnboxed<Tensor &, Tensor &, c10::optional<DimnameList>>(const_cast<Tensor&>(*this), names);
#endif
}
#endif
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::rename(c10::optional<DimnameList> names) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::rename(const_cast<Tensor&>(*this), names);
#else
static auto table = globalATenDispatch().getOpTable("aten::rename(Tensor(a) self, Dimname[]? names) -> Tensor(a)");
return table->callUnboxed<Tensor, const Tensor &, c10::optional<DimnameList>>(const_cast<Tensor&>(*this), names);
#endif
}
#endif
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::align_to(DimnameList names) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::align_to(const_cast<Tensor&>(*this), names);
#else
static auto table = globalATenDispatch().getOpTable("aten::align_to(Tensor(a) self, DimnameList names) -> Tensor(a)");
return table->callUnboxed<Tensor, const Tensor &, DimnameList>(const_cast<Tensor&>(*this), names);
#endif
}
#endif
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::align_as(const Tensor & other) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::align_as(const_cast<Tensor&>(*this), other);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::align_as", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other);
#endif
}
#endif
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::refine_names(DimnameList names) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::refine_names(const_cast<Tensor&>(*this), names);
#else
static auto table = globalATenDispatch().getOpTable("aten::refine_names(Tensor(a) self, DimnameList names) -> Tensor(a)");
return table->callUnboxed<Tensor, const Tensor &, DimnameList>(const_cast<Tensor&>(*this), names);
#endif
}
#endif
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::unflatten(Dimname dim, IntArrayRef sizes, DimnameList names) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::unflatten(const_cast<Tensor&>(*this), dim, sizes, names);
#else
static auto table = globalATenDispatch().getOpTable("aten::unflatten(Tensor self, Dimname dim, int[] sizes, DimnameList names) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, Dimname, IntArrayRef, DimnameList>(const_cast<Tensor&>(*this), dim, sizes, names);
#endif
}
#endif
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::unflatten(int64_t dim, IntArrayRef sizes, DimnameList names) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::unflatten(const_cast<Tensor&>(*this), dim, sizes, names);
#else
static auto table = globalATenDispatch().getOpTable("aten::unflatten(Tensor self, int dim, int[] sizes, DimnameList names) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, int64_t, IntArrayRef, DimnameList>(const_cast<Tensor&>(*this), dim, sizes, names);
#endif
}
#endif
inline Tensor Tensor::abs() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::abs(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::abs", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::abs_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::abs_(const_cast<Tensor&>(*this));
break;
default:
AT_ERROR("abs_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::abs_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::acos() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::acos(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::acos", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::acos_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::acos_(const_cast<Tensor&>(*this));
break;
default:
AT_ERROR("acos_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::acos_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::add(const Tensor & other, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::add(const_cast<Tensor&>(*this), other, alpha);
break;
case Backend::SparseCPU:
return SparseCPUType::add(const_cast<Tensor&>(*this), other, alpha);
break;
default:
AT_ERROR("add not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::add", "Tensor"}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, const Tensor &, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other, alpha);
#endif
}
inline Tensor & Tensor::add_(const Tensor & other, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::add_(const_cast<Tensor&>(*this), other, alpha);
break;
case Backend::SparseCPU:
return SparseCPUType::add_(const_cast<Tensor&>(*this), other, alpha);
break;
default:
AT_ERROR("add_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::add_", "Tensor"}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other, alpha);
#endif
}
inline Tensor Tensor::add(Scalar other, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::add(const_cast<Tensor&>(*this), other, alpha);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::add", "Scalar"}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), other, alpha);
#endif
}
inline Tensor & Tensor::add_(Scalar other, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::add_(const_cast<Tensor&>(*this), other, alpha);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::add_", "Scalar"}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), other, alpha);
#endif
}
inline Tensor Tensor::addmv(const Tensor & mat, const Tensor & vec, Scalar beta, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::addmv(const_cast<Tensor&>(*this), mat, vec, beta, alpha);
break;
default:
AT_ERROR("addmv not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::addmv", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, const Tensor &, const Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, mat, vec)), const_cast<Tensor&>(*this), mat, vec, beta, alpha);
#endif
}
inline Tensor & Tensor::addmv_(const Tensor & mat, const Tensor & vec, Scalar beta, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::addmv_(const_cast<Tensor&>(*this), mat, vec, beta, alpha);
break;
default:
AT_ERROR("addmv_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::addmv_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &, const Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, mat, vec)), const_cast<Tensor&>(*this), mat, vec, beta, alpha);
#endif
}
inline Tensor Tensor::addr(const Tensor & vec1, const Tensor & vec2, Scalar beta, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::addr(const_cast<Tensor&>(*this), vec1, vec2, beta, alpha);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::addr", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, const Tensor &, const Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, vec1, vec2)), const_cast<Tensor&>(*this), vec1, vec2, beta, alpha);
#endif
}
inline Tensor & Tensor::addr_(const Tensor & vec1, const Tensor & vec2, Scalar beta, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::addr_(const_cast<Tensor&>(*this), vec1, vec2, beta, alpha);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::addr_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &, const Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, vec1, vec2)), const_cast<Tensor&>(*this), vec1, vec2, beta, alpha);
#endif
}
inline Tensor Tensor::all(int64_t dim, bool keepdim) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::all(const_cast<Tensor&>(*this), dim, keepdim);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::all", "dim"}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, int64_t, bool>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), dim, keepdim);
#endif
}
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::all(Dimname dim, bool keepdim) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::all(const_cast<Tensor&>(*this), dim, keepdim);
#else
static auto table = globalATenDispatch().getOpTable("aten::all.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, Dimname, bool>(const_cast<Tensor&>(*this), dim, keepdim);
#endif
}
#endif
inline bool Tensor::allclose(const Tensor & other, double rtol, double atol, bool equal_nan) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::allclose(const_cast<Tensor&>(*this), other, rtol, atol, equal_nan);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::allclose", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<bool, const Tensor &, const Tensor &, double, double, bool>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other, rtol, atol, equal_nan);
#endif
}
inline Tensor Tensor::any(int64_t dim, bool keepdim) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::any(const_cast<Tensor&>(*this), dim, keepdim);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::any", "dim"}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, int64_t, bool>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), dim, keepdim);
#endif
}
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::any(Dimname dim, bool keepdim) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::any(const_cast<Tensor&>(*this), dim, keepdim);
#else
static auto table = globalATenDispatch().getOpTable("aten::any.dimname(Tensor self, Dimname dim, bool keepdim=False) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, Dimname, bool>(const_cast<Tensor&>(*this), dim, keepdim);
#endif
}
#endif
inline Tensor Tensor::argmax(c10::optional<int64_t> dim, bool keepdim) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::argmax(const_cast<Tensor&>(*this), dim, keepdim);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::argmax", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, c10::optional<int64_t>, bool>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), dim, keepdim);
#endif
}
inline Tensor Tensor::argmin(c10::optional<int64_t> dim, bool keepdim) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::argmin(const_cast<Tensor&>(*this), dim, keepdim);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::argmin", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, c10::optional<int64_t>, bool>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), dim, keepdim);
#endif
}
inline Tensor Tensor::as_strided(IntArrayRef size, IntArrayRef stride, c10::optional<int64_t> storage_offset) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::as_strided(const_cast<Tensor&>(*this), size, stride, storage_offset);
break;
case Backend::QuantizedCPU:
return QuantizedCPUType::as_strided(const_cast<Tensor&>(*this), size, stride, storage_offset);
break;
default:
AT_ERROR("as_strided not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::as_strided", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &, IntArrayRef, IntArrayRef, c10::optional<int64_t>>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), size, stride, storage_offset);
#endif
}
inline Tensor & Tensor::as_strided_(IntArrayRef size, IntArrayRef stride, c10::optional<int64_t> storage_offset) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::as_strided_(const_cast<Tensor&>(*this), size, stride, storage_offset);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::as_strided_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, IntArrayRef, IntArrayRef, c10::optional<int64_t>>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), size, stride, storage_offset);
#endif
}
inline Tensor Tensor::asin() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::asin(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::asin", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::asin_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::asin_(const_cast<Tensor&>(*this));
break;
default:
AT_ERROR("asin_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::asin_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::atan() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::atan(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::atan", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::atan_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::atan_(const_cast<Tensor&>(*this));
break;
default:
AT_ERROR("atan_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::atan_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::baddbmm(const Tensor & batch1, const Tensor & batch2, Scalar beta, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::baddbmm(const_cast<Tensor&>(*this), batch1, batch2, beta, alpha);
break;
default:
AT_ERROR("baddbmm not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::baddbmm", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, const Tensor &, const Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, batch1, batch2)), const_cast<Tensor&>(*this), batch1, batch2, beta, alpha);
#endif
}
inline Tensor & Tensor::baddbmm_(const Tensor & batch1, const Tensor & batch2, Scalar beta, Scalar alpha) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::baddbmm_(const_cast<Tensor&>(*this), batch1, batch2, beta, alpha);
break;
default:
AT_ERROR("baddbmm_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::baddbmm_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &, const Tensor &, Scalar, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, batch1, batch2)), const_cast<Tensor&>(*this), batch1, batch2, beta, alpha);
#endif
}
inline Tensor Tensor::bernoulli(Generator * generator) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::bernoulli(const_cast<Tensor&>(*this), generator);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::bernoulli", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &, Generator *>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), generator);
#endif
}
inline Tensor & Tensor::bernoulli_(const Tensor & p, Generator * generator) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::bernoulli_(const_cast<Tensor&>(*this), p, generator);
break;
default:
AT_ERROR("bernoulli_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::bernoulli_", "Tensor"}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &, Generator *>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, p)), const_cast<Tensor&>(*this), p, generator);
#endif
}
inline Tensor & Tensor::bernoulli_(double p, Generator * generator) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::bernoulli_(const_cast<Tensor&>(*this), p, generator);
break;
default:
AT_ERROR("bernoulli_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::bernoulli_", "float"}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, double, Generator *>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), p, generator);
#endif
}
inline Tensor Tensor::bernoulli(double p, Generator * generator) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::bernoulli(const_cast<Tensor&>(*this), p, generator);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::bernoulli", "p"}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &, double, Generator *>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), p, generator);
#endif
}
inline Tensor Tensor::bincount(const Tensor & weights, int64_t minlength) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::bincount(const_cast<Tensor&>(*this), weights, minlength);
break;
default:
AT_ERROR("bincount not implemented for ", at::toString(type_set()));
}
#else
static auto table = globalATenDispatch().getOpTable("aten::bincount(Tensor self, Tensor? weights=None, int minlength=0) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, const Tensor &, int64_t>(const_cast<Tensor&>(*this), weights, minlength);
#endif
}
inline Tensor Tensor::bitwise_not() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::bitwise_not(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::bitwise_not", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::bitwise_not_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::bitwise_not_(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::bitwise_not_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::logical_not() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::logical_not(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::logical_not", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::logical_not_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::logical_not_(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::logical_not_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::logical_xor(const Tensor & other) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::logical_xor(const_cast<Tensor&>(*this), other);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::logical_xor", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other);
#endif
}
inline Tensor & Tensor::logical_xor_(const Tensor & other) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::logical_xor_(const_cast<Tensor&>(*this), other);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::logical_xor_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other);
#endif
}
inline Tensor Tensor::bmm(const Tensor & mat2) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::bmm(const_cast<Tensor&>(*this), mat2);
break;
default:
AT_ERROR("bmm not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::bmm", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, mat2)), const_cast<Tensor&>(*this), mat2);
#endif
}
inline Tensor Tensor::ceil() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::ceil(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::ceil", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::ceil_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::ceil_(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::ceil_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline std::vector<Tensor> Tensor::chunk(int64_t chunks, int64_t dim) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::chunk(const_cast<Tensor&>(*this), chunks, dim);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::chunk", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<std::vector<Tensor>, const Tensor &, int64_t, int64_t>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), chunks, dim);
#endif
}
inline Tensor Tensor::clamp(c10::optional<Scalar> min, c10::optional<Scalar> max) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::clamp(const_cast<Tensor&>(*this), min, max);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::clamp", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, c10::optional<Scalar>, c10::optional<Scalar>>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), min, max);
#endif
}
inline Tensor & Tensor::clamp_(c10::optional<Scalar> min, c10::optional<Scalar> max) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::clamp_(const_cast<Tensor&>(*this), min, max);
break;
default:
AT_ERROR("clamp_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::clamp_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, c10::optional<Scalar>, c10::optional<Scalar>>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), min, max);
#endif
}
inline Tensor Tensor::clamp_max(Scalar max) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::clamp_max(const_cast<Tensor&>(*this), max);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::clamp_max", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), max);
#endif
}
inline Tensor & Tensor::clamp_max_(Scalar max) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::clamp_max_(const_cast<Tensor&>(*this), max);
break;
default:
AT_ERROR("clamp_max_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::clamp_max_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), max);
#endif
}
inline Tensor Tensor::clamp_min(Scalar min) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::clamp_min(const_cast<Tensor&>(*this), min);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::clamp_min", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), min);
#endif
}
inline Tensor & Tensor::clamp_min_(Scalar min) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::clamp_min_(const_cast<Tensor&>(*this), min);
break;
default:
AT_ERROR("clamp_min_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::clamp_min_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), min);
#endif
}
inline Tensor Tensor::contiguous(MemoryFormat memory_format) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::contiguous(const_cast<Tensor&>(*this), memory_format);
#else
static auto table = globalATenDispatch().getOpTable("aten::contiguous(Tensor self, *, MemoryFormat memory_format=contiguous_format) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, MemoryFormat>(const_cast<Tensor&>(*this), memory_format);
#endif
}
inline Tensor & Tensor::copy_(const Tensor & src, bool non_blocking) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::copy_(const_cast<Tensor&>(*this), src, non_blocking);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::copy_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &, bool>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, src)), const_cast<Tensor&>(*this), src, non_blocking);
#endif
}
inline Tensor Tensor::cos() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::cos(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::cos", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::cos_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::cos_(const_cast<Tensor&>(*this));
break;
default:
AT_ERROR("cos_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::cos_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::cosh() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::cosh(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::cosh", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor & Tensor::cosh_() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::cosh_(const_cast<Tensor&>(*this));
break;
default:
AT_ERROR("cosh_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::cosh_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::cumsum(int64_t dim, c10::optional<ScalarType> dtype) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::cumsum(const_cast<Tensor&>(*this), dim, dtype);
#else
static auto table = globalATenDispatch().getOpTable("aten::cumsum(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, int64_t, c10::optional<ScalarType>>(const_cast<Tensor&>(*this), dim, dtype);
#endif
}
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::cumsum(Dimname dim, c10::optional<ScalarType> dtype) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::cumsum(const_cast<Tensor&>(*this), dim, dtype);
#else
static auto table = globalATenDispatch().getOpTable("aten::cumsum.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, Dimname, c10::optional<ScalarType>>(const_cast<Tensor&>(*this), dim, dtype);
#endif
}
#endif
inline Tensor Tensor::cumprod(int64_t dim, c10::optional<ScalarType> dtype) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::cumprod(const_cast<Tensor&>(*this), dim, dtype);
#else
static auto table = globalATenDispatch().getOpTable("aten::cumprod(Tensor self, int dim, *, ScalarType? dtype=None) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, int64_t, c10::optional<ScalarType>>(const_cast<Tensor&>(*this), dim, dtype);
#endif
}
#ifdef BUILD_NAMEDTENSOR
inline Tensor Tensor::cumprod(Dimname dim, c10::optional<ScalarType> dtype) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::cumprod(const_cast<Tensor&>(*this), dim, dtype);
#else
static auto table = globalATenDispatch().getOpTable("aten::cumprod.dimname(Tensor self, Dimname dim, *, ScalarType? dtype=None) -> Tensor");
return table->callUnboxed<Tensor, const Tensor &, Dimname, c10::optional<ScalarType>>(const_cast<Tensor&>(*this), dim, dtype);
#endif
}
#endif
inline Tensor Tensor::det() const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::det(const_cast<Tensor&>(*this));
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::det", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this));
#endif
}
inline Tensor Tensor::diag_embed(int64_t offset, int64_t dim1, int64_t dim2) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::diag_embed(const_cast<Tensor&>(*this), offset, dim1, dim2);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::diag_embed", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, int64_t, int64_t, int64_t>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), offset, dim1, dim2);
#endif
}
inline Tensor Tensor::diagflat(int64_t offset) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::diagflat(const_cast<Tensor&>(*this), offset);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::diagflat", ""}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, int64_t>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), offset);
#endif
}
inline Tensor Tensor::diagonal(int64_t offset, int64_t dim1, int64_t dim2) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::diagonal(const_cast<Tensor&>(*this), offset, dim1, dim2);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::diagonal", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor, const Tensor &, int64_t, int64_t, int64_t>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), offset, dim1, dim2);
#endif
}
inline Tensor & Tensor::fill_diagonal_(Scalar fill_value, bool wrap) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::fill_diagonal_(const_cast<Tensor&>(*this), fill_value, wrap);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::fill_diagonal_", ""}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, Scalar, bool>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), fill_value, wrap);
#endif
}
inline Tensor Tensor::div(const Tensor & other) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::div(const_cast<Tensor&>(*this), other);
break;
case Backend::SparseCPU:
return SparseCPUType::div(const_cast<Tensor&>(*this), other);
break;
default:
AT_ERROR("div not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::div", "Tensor"}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other);
#endif
}
inline Tensor & Tensor::div_(const Tensor & other) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
switch(tensorTypeIdToBackend(impl::dispatchTypeId(type_set()))) {
case Backend::CPU:
return CPUType::div_(const_cast<Tensor&>(*this), other);
break;
case Backend::SparseCPU:
return SparseCPUType::div_(const_cast<Tensor&>(*this), other);
break;
default:
AT_ERROR("div_ not implemented for ", at::toString(type_set()));
}
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::div_", "Tensor"}).value();
return c10::Dispatcher::singleton().callUnboxedOnly<Tensor &, Tensor &, const Tensor &>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this, other)), const_cast<Tensor&>(*this), other);
#endif
}
inline Tensor Tensor::div(Scalar other) const {
#ifdef USE_STATIC_DISPATCH
at::AutoNonVariableTypeMode _var_guard(true);
return TypeDefault::div(const_cast<Tensor&>(*this), other);
#else
static c10::OperatorHandle op = c10::Dispatcher::singleton().findSchema({"aten::div", "Scalar"}).value();
return c10::Dispatcher::singleton().callUnboxed<Tensor, const Tensor &, Scalar>(
op, impl::dispatchTypeId(at::detail::multi_dispatch_tensor_type_set(*this)), const_cast<Tensor&>(*this), other);
#endif
}