1 | #pragma once |
2 | |
3 | // @generated by torchgen/gen.py from Function.h |
4 | |
5 | #include <ATen/Context.h> |
6 | #include <ATen/DeviceGuard.h> |
7 | #include <ATen/TensorUtils.h> |
8 | #include <ATen/TracerMode.h> |
9 | #include <ATen/core/Generator.h> |
10 | #include <ATen/core/Reduction.h> |
11 | #include <ATen/core/Tensor.h> |
12 | #include <c10/core/Scalar.h> |
13 | #include <c10/core/Storage.h> |
14 | #include <c10/core/TensorOptions.h> |
15 | #include <c10/util/Deprecated.h> |
16 | #include <c10/util/Optional.h> |
17 | |
18 | |
19 | |
20 | #include <ATen/ops/cudnn_grid_sampler_backward_ops.h> |
21 | |
22 | namespace at { |
23 | |
24 | |
25 | // aten::cudnn_grid_sampler_backward(Tensor self, Tensor grid, Tensor grad_output) -> (Tensor grad_self, Tensor grad_grid) |
26 | inline ::std::tuple<at::Tensor,at::Tensor> cudnn_grid_sampler_backward(const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output) { |
27 | return at::_ops::cudnn_grid_sampler_backward::call(self, grid, grad_output); |
28 | } |
29 | |
30 | // aten::cudnn_grid_sampler_backward.out(Tensor self, Tensor grid, Tensor grad_output, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
31 | inline ::std::tuple<at::Tensor &,at::Tensor &> cudnn_grid_sampler_backward_out(at::Tensor & out0, at::Tensor & out1, const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output) { |
32 | return at::_ops::cudnn_grid_sampler_backward_out::call(self, grid, grad_output, out0, out1); |
33 | } |
34 | // aten::cudnn_grid_sampler_backward.out(Tensor self, Tensor grid, Tensor grad_output, *, Tensor(a!) out0, Tensor(b!) out1) -> (Tensor(a!), Tensor(b!)) |
35 | inline ::std::tuple<at::Tensor &,at::Tensor &> cudnn_grid_sampler_backward_outf(const at::Tensor & self, const at::Tensor & grid, const at::Tensor & grad_output, at::Tensor & out0, at::Tensor & out1) { |
36 | return at::_ops::cudnn_grid_sampler_backward_out::call(self, grid, grad_output, out0, out1); |
37 | } |
38 | |
39 | } |
40 | |