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