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 cuda {
19
20TORCH_API at::Tensor clamp(const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt);
21TORCH_API at::Tensor & clamp_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt);
22TORCH_API at::Tensor & clamp_outf(const at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max, at::Tensor & out);
23TORCH_API at::Tensor & clamp_(at::Tensor & self, const c10::optional<at::Scalar> & min, const c10::optional<at::Scalar> & max=c10::nullopt);
24TORCH_API at::Tensor clamp(const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={});
25TORCH_API at::Tensor & clamp_out(at::Tensor & out, const at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={});
26TORCH_API at::Tensor & clamp_outf(const at::Tensor & self, const c10::optional<at::Tensor> & min, const c10::optional<at::Tensor> & max, at::Tensor & out);
27TORCH_API at::Tensor & clamp_(at::Tensor & self, const c10::optional<at::Tensor> & min={}, const c10::optional<at::Tensor> & max={});
28
29} // namespace cuda
30} // namespace at
31