#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 linalg_lu { using schema = ::std::tuple (const at::Tensor &, bool); using ptr_schema = schema*; // See Note [static constexpr char* members for windows NVCC] STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(name, "aten::linalg_lu") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "linalg_lu(Tensor A, *, bool pivot=True) -> (Tensor P, Tensor L, Tensor U)") static ::std::tuple call(const at::Tensor & A, bool pivot); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot); }; struct TORCH_API linalg_lu_out { using schema = ::std::tuple (const at::Tensor &, bool, at::Tensor &, 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::linalg_lu") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(overload_name, "out") STATIC_CONSTEXPR_STR_INL_EXCEPT_WIN_CUDA(schema_str, "linalg_lu.out(Tensor A, *, bool pivot=True, Tensor(a!) P, Tensor(b!) L, Tensor(c!) U) -> (Tensor(a!) P, Tensor(b!) L, Tensor(c!) U)") static ::std::tuple call(const at::Tensor & A, bool pivot, at::Tensor & P, at::Tensor & L, at::Tensor & U); static ::std::tuple redispatch(c10::DispatchKeySet dispatchKeySet, const at::Tensor & A, bool pivot, at::Tensor & P, at::Tensor & L, at::Tensor & U); }; }} // namespace at::_ops