#pragma once // @generated by torchgen/gen.py from Operator.h #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 stride_int { using schema = int64_t (const at::Tensor &, int64_t); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::stride") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "int") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "stride.int(Tensor self, int dim) -> int") static int64_t call(const at::Tensor & self, int64_t dim); static int64_t redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim); }; struct TORCH_API stride_Dimname { using schema = int64_t (const at::Tensor &, at::Dimname); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::stride") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Dimname") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "stride.Dimname(Tensor self, Dimname dim) -> int") static int64_t call(const at::Tensor & self, at::Dimname dim); static int64_t redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim); }; }} // namespace at::_ops