1#pragma once
2// @generated by torchgen/gen.py from DispatchKeyFunction.h
3
4// NB: The implementing C++ file is RegisterDispatchKey.cpp
5
6// The only #includes we need are for custom classes that have defaults in the C++ API
7#include <c10/core/MemoryFormat.h>
8#include <c10/core/Scalar.h>
9#include <ATen/core/Reduction.h>
10
11// Forward declarations of any types needed in the operator signatures.
12// We can't directly include these classes because it will cause circular include dependencies.
13// This file is included by TensorBody.h, which defines the Tensor class.
14#include <ATen/core/ATen_fwd.h>
15
16namespace at {
17
18namespace meta {
19
20TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor> linalg_ldl_factor_ex(const at::Tensor & self, bool hermitian=false, bool check_errors=false);
21TORCH_API ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_ldl_factor_ex_out(at::Tensor & LD, at::Tensor & pivots, at::Tensor & info, const at::Tensor & self, bool hermitian=false, bool check_errors=false);
22TORCH_API ::std::tuple<at::Tensor &,at::Tensor &,at::Tensor &> linalg_ldl_factor_ex_outf(const at::Tensor & self, bool hermitian, bool check_errors, at::Tensor & LD, at::Tensor & pivots, at::Tensor & info);
23
24} // namespace meta
25} // namespace at
26