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