#pragma once // @generated by torchgen/gen.py from Operator.h #include #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 _fused_dropout { using schema = ::std::tuple (const at::Tensor &, double, ::std::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::_fused_dropout"; static constexpr const char* overload_name = ""; static constexpr const char* schema_str = "_fused_dropout(Tensor self, float p, Generator? generator=None) -> (Tensor, Tensor)"; static ::std::tuple call(const at::Tensor & self, double p, ::std::optional generator); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, ::std::optional generator); }; struct TORCH_API _fused_dropout_out { using schema = ::std::tuple (const at::Tensor &, double, ::std::optional, at::Tensor &, at::Tensor &); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] static constexpr const char* name = "aten::_fused_dropout"; static constexpr const char* overload_name = "out"; static constexpr const char* schema_str = "_fused_dropout.out(Tensor self, float p, Generator? generator=None, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!))"; static ::std::tuple call(const at::Tensor & self, double p, ::std::optional generator, at::Tensor & out0, at::Tensor & out1); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, double p, ::std::optional generator, at::Tensor & out0, at::Tensor & out1); }; }} // namespace at::_ops