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- #pragma once
- // @generated by torchgen/gen.py from Function.h
- #include <ATen/Context.h>
- #include <ATen/DeviceGuard.h>
- #include <ATen/TensorUtils.h>
- #include <ATen/TracerMode.h>
- #include <ATen/core/Generator.h>
- #include <ATen/core/Reduction.h>
- #include <ATen/core/Tensor.h>
- #include <c10/core/Scalar.h>
- #include <c10/core/Storage.h>
- #include <c10/core/TensorOptions.h>
- #include <c10/util/Deprecated.h>
- #include <c10/util/Optional.h>
- #include <ATen/ops/split_copy_ops.h>
- namespace at {
- // aten::split_copy.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[]
- inline ::std::vector<at::Tensor> split_copy(const at::Tensor & self, int64_t split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor::call(self, split_size, dim);
- }
- namespace symint {
- template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
- ::std::vector<at::Tensor> split_copy(const at::Tensor & self, int64_t split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor::call(self, split_size, dim);
- }
- }
- // aten::split_copy.Tensor(Tensor self, SymInt split_size, int dim=0) -> Tensor[]
- inline ::std::vector<at::Tensor> split_copy_symint(const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor::call(self, split_size, dim);
- }
- namespace symint {
- template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
- ::std::vector<at::Tensor> split_copy(const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor::call(self, split_size, dim);
- }
- }
- // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> ()
- inline void split_copy_out(at::TensorList out, const at::Tensor & self, int64_t split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- namespace symint {
- template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
- void split_copy_out(at::TensorList out, const at::Tensor & self, int64_t split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- }
- // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> ()
- inline void split_copy_outf(const at::Tensor & self, int64_t split_size, int64_t dim, at::TensorList out) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- namespace symint {
- template <typename T, typename = std::enable_if_t<std::is_same<T, int64_t>::value>>
- void split_copy_outf(const at::Tensor & self, int64_t split_size, int64_t dim, at::TensorList out) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- }
- // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> ()
- inline void split_copy_symint_out(at::TensorList out, const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- namespace symint {
- template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
- void split_copy_out(at::TensorList out, const at::Tensor & self, c10::SymInt split_size, int64_t dim=0) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- }
- // aten::split_copy.Tensor_out(Tensor self, SymInt split_size, int dim=0, *, Tensor(a!)[] out) -> ()
- inline void split_copy_symint_outf(const at::Tensor & self, c10::SymInt split_size, int64_t dim, at::TensorList out) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- namespace symint {
- template <typename T, typename = std::enable_if_t<std::is_same<T, c10::SymInt>::value>>
- void split_copy_outf(const at::Tensor & self, c10::SymInt split_size, int64_t dim, at::TensorList out) {
- return at::_ops::split_copy_Tensor_out::call(self, split_size, dim, out);
- }
- }
- }
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