#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 unflatten_int { using schema = at::Tensor (const at::Tensor &, int64_t, at::IntArrayRef); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::unflatten") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "int") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "unflatten.int(Tensor(a) self, int dim, int[] sizes) -> Tensor(a)") static at::Tensor call(const at::Tensor & self, int64_t dim, at::IntArrayRef sizes); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, int64_t dim, at::IntArrayRef sizes); }; struct TORCH_API unflatten_Dimname { using schema = at::Tensor (const at::Tensor &, at::Dimname, at::IntArrayRef, at::DimnameList); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::unflatten") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Dimname") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "unflatten.Dimname(Tensor(a) self, Dimname dim, int[] sizes, Dimname[] names) -> Tensor(a)") static at::Tensor call(const at::Tensor & self, at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Dimname dim, at::IntArrayRef sizes, at::DimnameList names); }; }} // namespace at::_ops