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 | |
16 | namespace at { |
17 | |
18 | namespace cuda { |
19 | |
20 | TORCH_API ::std::tuple<at::Tensor,at::Tensor> max_pool2d_with_indices(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false); |
21 | TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> max_pool2d_with_indices_out(at::Tensor & out, at::Tensor & indices, const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride={}, at::IntArrayRef padding=0, at::IntArrayRef dilation=1, bool ceil_mode=false); |
22 | TORCH_API ::std::tuple<at::Tensor &,at::Tensor &> max_pool2d_with_indices_outf(const at::Tensor & self, at::IntArrayRef kernel_size, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool ceil_mode, at::Tensor & out, at::Tensor & indices); |
23 | |
24 | } // namespace cuda |
25 | } // namespace at |
26 | |