#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 rrelu { using schema = at::Tensor (const at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::rrelu") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "rrelu(Tensor self, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor") static at::Tensor call(const at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, ::std::optional generator); static at::Tensor redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, ::std::optional generator); }; struct TORCH_API rrelu_ { using schema = at::Tensor & (at::Tensor &, const at::Scalar &, const at::Scalar &, bool, ::std::optional); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::rrelu_") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "rrelu_(Tensor(a!) self, Scalar lower=0.125, Scalar upper=0.3333333333333333, bool training=False, Generator? generator=None) -> Tensor(a!)") static at::Tensor & call(at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, ::std::optional generator); static at::Tensor & redispatch(c10::DispatchKeySet dispatchKeySet, at::Tensor & self, const at::Scalar & lower, const at::Scalar & upper, bool training, ::std::optional generator); }; }} // namespace at::_ops