#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 native_dropout { using schema = ::std::tuple (const at::Tensor &, double, c10::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::native_dropout") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "native_dropout(Tensor input, float p, bool? train) -> (Tensor, Tensor)") static ::std::tuple call(const at::Tensor & input, double p, c10::optional train); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, c10::optional train); }; struct TORCH_API native_dropout_out { using schema = ::std::tuple (const at::Tensor &, double, c10::optional, 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::native_dropout") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "native_dropout.out(Tensor input, float p, bool? train, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))") static ::std::tuple call(const at::Tensor & input, double p, c10::optional train, at::Tensor & out0, at::Tensor & out1); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & input, double p, c10::optional train, at::Tensor & out0, at::Tensor & out1); }; }} // namespace at::_ops