#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 _foreach_round { using schema = ::std::vector (at::TensorList); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_round") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_round(Tensor[] self) -> Tensor[]") static ::std::vector call(at::TensorList self); static ::std::vector redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self); }; struct TORCH_API _foreach_round_ { using schema = void (at::TensorList); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_round_") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_round_(Tensor(a!)[] self) -> ()") static void call(at::TensorList self); static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self); }; struct TORCH_API _foreach_round_out { using schema = void (at::TensorList, at::TensorList); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::_foreach_round") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "_foreach_round.out(Tensor[] self, *, Tensor(a!)[] out) -> ()") static void call(at::TensorList self, at::TensorList out); static void redispatch(c10::DispatchKeySet dispatchKeySet, at::TensorList self, at::TensorList out); }; }} // namespace at::_ops