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