#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 frexp_Tensor { using schema = ::std::tuple (const at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::frexp") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "frexp.Tensor(Tensor self) -> (Tensor mantissa, Tensor exponent)") static ::std::tuple call(const at::Tensor & self); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self); }; struct TORCH_API frexp_Tensor_out { using schema = ::std::tuple (const at::Tensor &, at::Tensor &, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::frexp") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "Tensor_out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "frexp.Tensor_out(Tensor self, *, Tensor(a!) mantissa, Tensor(b!) exponent) -> (Tensor(a!) mantissa, Tensor(b!) exponent)") static ::std::tuple call(const at::Tensor & self, at::Tensor & mantissa, at::Tensor & exponent); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, at::Tensor & mantissa, at::Tensor & exponent); }; }} // namespace at::_ops