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- #pragma once
- // @generated by torchgen/gen.py from Operator.h
- #include <tuple>
- #include <vector>
- // Forward declarations of any types needed in the operator signatures.
- // We can't directly include these classes because it will cause circular include dependencies.
- // This file is included by TensorBody.h, which defines the Tensor class.
- #include <ATen/core/ATen_fwd.h>
- namespace at {
- namespace _ops {
- struct TORCH_API gradient_scalarint {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, const c10::optional<at::Scalar> &, c10::optional<int64_t>, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::gradient")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "scalarint")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "gradient.scalarint(Tensor self, *, Scalar? spacing=None, int? dim=None, int edge_order=1) -> Tensor[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, const c10::optional<at::Scalar> & spacing, c10::optional<int64_t> dim, int64_t edge_order);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const c10::optional<at::Scalar> & spacing, c10::optional<int64_t> dim, int64_t edge_order);
- };
- struct TORCH_API gradient_scalararray {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, const at::Scalar &, at::IntArrayRef, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::gradient")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "scalararray")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "gradient.scalararray(Tensor self, *, Scalar spacing, int[] dim, int edge_order=1) -> Tensor[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, const at::Scalar & spacing, at::IntArrayRef dim, int64_t edge_order);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & spacing, at::IntArrayRef dim, int64_t edge_order);
- };
- struct TORCH_API gradient_array {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, at::IntArrayRef, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::gradient")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "array")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "gradient.array(Tensor self, *, int[] dim, int edge_order=1) -> Tensor[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order);
- };
- struct TORCH_API gradient_scalarrayint {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, at::ArrayRef<at::Scalar>, c10::optional<int64_t>, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::gradient")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "scalarrayint")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "gradient.scalarrayint(Tensor self, *, Scalar[] spacing, int? dim=None, int edge_order=1) -> Tensor[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, c10::optional<int64_t> dim, int64_t edge_order);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, c10::optional<int64_t> dim, int64_t edge_order);
- };
- struct TORCH_API gradient_scalarrayarray {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, at::ArrayRef<at::Scalar>, at::IntArrayRef, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::gradient")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "scalarrayarray")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "gradient.scalarrayarray(Tensor self, *, Scalar[] spacing, int[] dim, int edge_order=1) -> Tensor[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, at::IntArrayRef dim, int64_t edge_order);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef<at::Scalar> spacing, at::IntArrayRef dim, int64_t edge_order);
- };
- struct TORCH_API gradient_tensorarrayint {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, at::TensorList, c10::optional<int64_t>, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::gradient")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "tensorarrayint")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "gradient.tensorarrayint(Tensor self, *, Tensor[] spacing, int? dim=None, int edge_order=1) -> Tensor[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, at::TensorList spacing, c10::optional<int64_t> dim, int64_t edge_order);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, c10::optional<int64_t> dim, int64_t edge_order);
- };
- struct TORCH_API gradient_tensorarray {
- using schema = ::std::vector<at::Tensor> (const at::Tensor &, at::TensorList, at::IntArrayRef, int64_t);
- using ptr_schema = schema*;
- // See Note [static constexpr char* members for windows NVCC]
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::gradient")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "tensorarray")
- STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "gradient.tensorarray(Tensor self, *, Tensor[] spacing, int[] dim, int edge_order=1) -> Tensor[]")
- static ::std::vector<at::Tensor> call(const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order);
- static ::std::vector<at::Tensor> redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order);
- };
- }} // namespace at::_ops
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