#pragma once // @generated by torchgen/gen.py from Operator.h #include #include #include // 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 namespace at { namespace _ops { struct TORCH_API gradient_scalarint { using schema = ::std::vector (const at::Tensor &, const ::std::optional &, ::std::optional, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::gradient"; static constexpr const char* overload_name = "scalarint"; static constexpr const char* schema_str = "gradient.scalarint(Tensor self, *, Scalar? spacing=None, int? dim=None, int edge_order=1) -> Tensor[]"; static ::std::vector call(const at::Tensor & self, const ::std::optional & spacing, ::std::optional dim, int64_t edge_order); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const ::std::optional & spacing, ::std::optional dim, int64_t edge_order); }; struct TORCH_API gradient_scalararray { using schema = ::std::vector (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 const char* name = "aten::gradient"; static constexpr const char* overload_name = "scalararray"; static constexpr const char* schema_str = "gradient.scalararray(Tensor self, *, Scalar spacing, int[] dim, int edge_order=1) -> Tensor[]"; static ::std::vector call(const at::Tensor & self, const at::Scalar & spacing, at::IntArrayRef dim, int64_t edge_order); static ::std::vector 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 (const at::Tensor &, at::IntArrayRef, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::gradient"; static constexpr const char* overload_name = "array"; static constexpr const char* schema_str = "gradient.array(Tensor self, *, int[] dim, int edge_order=1) -> Tensor[]"; static ::std::vector call(const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::IntArrayRef dim, int64_t edge_order); }; struct TORCH_API gradient_scalarrayint { using schema = ::std::vector (const at::Tensor &, at::ArrayRef, ::std::optional, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::gradient"; static constexpr const char* overload_name = "scalarrayint"; static constexpr const char* schema_str = "gradient.scalarrayint(Tensor self, *, Scalar[] spacing, int? dim=None, int edge_order=1) -> Tensor[]"; static ::std::vector call(const at::Tensor & self, at::ArrayRef spacing, ::std::optional dim, int64_t edge_order); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef spacing, ::std::optional dim, int64_t edge_order); }; struct TORCH_API gradient_scalarrayarray { using schema = ::std::vector (const at::Tensor &, at::ArrayRef, at::IntArrayRef, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::gradient"; static constexpr const char* overload_name = "scalarrayarray"; static constexpr const char* schema_str = "gradient.scalarrayarray(Tensor self, *, Scalar[] spacing, int[] dim, int edge_order=1) -> Tensor[]"; static ::std::vector call(const at::Tensor & self, at::ArrayRef spacing, at::IntArrayRef dim, int64_t edge_order); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::ArrayRef spacing, at::IntArrayRef dim, int64_t edge_order); }; struct TORCH_API gradient_tensorarrayint { using schema = ::std::vector (const at::Tensor &, at::TensorList, ::std::optional, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::gradient"; static constexpr const char* overload_name = "tensorarrayint"; static constexpr const char* schema_str = "gradient.tensorarrayint(Tensor self, *, Tensor[] spacing, int? dim=None, int edge_order=1) -> Tensor[]"; static ::std::vector call(const at::Tensor & self, at::TensorList spacing, ::std::optional dim, int64_t edge_order); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, ::std::optional dim, int64_t edge_order); }; struct TORCH_API gradient_tensorarray { using schema = ::std::vector (const at::Tensor &, at::TensorList, at::IntArrayRef, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::gradient"; static constexpr const char* overload_name = "tensorarray"; static constexpr const char* schema_str = "gradient.tensorarray(Tensor self, *, Tensor[] spacing, int[] dim, int edge_order=1) -> Tensor[]"; static ::std::vector call(const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::TensorList spacing, at::IntArrayRef dim, int64_t edge_order); }; }} // namespace at::_ops