conv_transpose_op.cu.cc 1.6 KB
Newer Older
1
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
C
chengduoZH 已提交
2

L
Luo Tao 已提交
3 4 5
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
C
chengduoZH 已提交
6

L
Luo Tao 已提交
7
    http://www.apache.org/licenses/LICENSE-2.0
C
chengduoZH 已提交
8

L
Luo Tao 已提交
9 10 11 12 13
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
C
chengduoZH 已提交
14

Y
Yi Wang 已提交
15
#include "paddle/fluid/operators/conv_transpose_op.h"
C
chengduoZH 已提交
16 17 18

namespace ops = paddle::operators;

Q
QI JUN 已提交
19
REGISTER_OP_CUDA_KERNEL(
C
chengduoZH 已提交
20
    conv2d_transpose,
Q
QI JUN 已提交
21 22 23
    ops::GemmConvTransposeKernel<paddle::platform::CUDADeviceContext, float>,
    ops::GemmConvTransposeKernel<paddle::platform::CUDADeviceContext, double>);
REGISTER_OP_CUDA_KERNEL(
C
chengduoZH 已提交
24
    conv2d_transpose_grad,
Q
QI JUN 已提交
25 26 27 28
    ops::GemmConvTransposeGradKernel<paddle::platform::CUDADeviceContext,
                                     float>,
    ops::GemmConvTransposeGradKernel<paddle::platform::CUDADeviceContext,
                                     double>);
C
chengduoZH 已提交
29

Q
QI JUN 已提交
30
REGISTER_OP_CUDA_KERNEL(
C
chengduoZH 已提交
31
    conv3d_transpose,
Q
QI JUN 已提交
32 33 34
    ops::GemmConvTransposeKernel<paddle::platform::CUDADeviceContext, float>,
    ops::GemmConvTransposeKernel<paddle::platform::CUDADeviceContext, double>);
REGISTER_OP_CUDA_KERNEL(
C
chengduoZH 已提交
35
    conv3d_transpose_grad,
Q
QI JUN 已提交
36 37 38 39
    ops::GemmConvTransposeGradKernel<paddle::platform::CUDADeviceContext,
                                     float>,
    ops::GemmConvTransposeGradKernel<paddle::platform::CUDADeviceContext,
                                     double>);