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 compositeimplicitautograd { |
19 | |
20 | TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _convolution_double_backward(const c10::optional<at::Tensor> & ggI, const c10::optional<at::Tensor> & ggW, const c10::optional<at::Tensor> & ggb, const at::Tensor & gO, const at::Tensor & weight, const at::Tensor & self, at::IntArrayRef stride, at::IntArrayRef padding, at::IntArrayRef dilation, bool transposed, at::IntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask); |
21 | TORCH_API ::std::tuple<at::Tensor,at::Tensor,at::Tensor> _convolution_double_backward_symint(const c10::optional<at::Tensor> & ggI, const c10::optional<at::Tensor> & ggW, const c10::optional<at::Tensor> & ggb, const at::Tensor & gO, const at::Tensor & weight, const at::Tensor & self, at::IntArrayRef stride, c10::SymIntArrayRef padding, at::IntArrayRef dilation, bool transposed, c10::SymIntArrayRef output_padding, int64_t groups, ::std::array<bool,3> output_mask); |
22 | |
23 | } // namespace compositeimplicitautograd |
24 | } // namespace at |
25 | |