提交 3493f5bd 编写于 作者: W wangyang59

consolidate CudnnConv and CudnnConvTrans files into one file

上级 ff127eb6
......@@ -12,12 +12,35 @@ 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. */
#include "CudnnConvLayer.h"
#include "paddle/utils/Logging.h"
#include "paddle/utils/Stat.h"
#include "CudnnConvBaseLayer.h"
namespace paddle {
/**
* @brief A 2-dimension conv layer implemented by cuDNN. It only
* supports GPU mode. We automatic select CudnnConvLayer for GPU
* mode and ExpandConvLayer for CPU mode if you set type of "conv".
* User also can specfiy type of "exconv" or "cudnn_conv" for
* particular type.
*
* The config file api is img_conv_layer.
*/
class CudnnConvLayer : public CudnnConvBaseLayer {
public:
explicit CudnnConvLayer(const LayerConfig& config)
: CudnnConvBaseLayer(config) {}
~CudnnConvLayer() {}
};
REGISTER_LAYER(cudnn_conv, CudnnConvLayer);
class CudnnConvTransLayer : public CudnnConvBaseLayer {
public:
explicit CudnnConvTransLayer(const LayerConfig& config)
: CudnnConvBaseLayer(config) {}
~CudnnConvTransLayer() {}
};
REGISTER_LAYER(cudnn_convt, CudnnConvTransLayer);
} // namespace paddle
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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
http://www.apache.org/licenses/LICENSE-2.0
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. */
#pragma once
#include <vector>
#include "CudnnConvBaseLayer.h"
#include "Projection.h"
#include "paddle/math/Matrix.h"
namespace paddle {
/**
* @brief A 2-dimension conv layer implemented by cuDNN. It only
* supports GPU mode. We automatic select CudnnConvLayer for GPU
* mode and ExpandConvLayer for CPU mode if you set type of "conv".
* User also can specfiy type of "exconv" or "cudnn_conv" for
* particular type.
*
* The config file api is img_conv_layer.
*/
class CudnnConvLayer : public CudnnConvBaseLayer {
public:
explicit CudnnConvLayer(const LayerConfig& config)
: CudnnConvBaseLayer(config) {}
~CudnnConvLayer() {}
};
} // namespace paddle
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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
http://www.apache.org/licenses/LICENSE-2.0
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. */
#include "CudnnConvTransLayer.h"
#include "paddle/utils/Logging.h"
#include "paddle/utils/Stat.h"
namespace paddle {
REGISTER_LAYER(cudnn_convt, CudnnConvTransLayer);
} // namespace paddle
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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
http://www.apache.org/licenses/LICENSE-2.0
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. */
#pragma once
#include <vector>
#include "CudnnConvBaseLayer.h"
#include "Projection.h"
#include "paddle/math/Matrix.h"
namespace paddle {
/**
* @brief A 2-dimension conv layer implemented by cuDNN. It only
* supports GPU mode. We automatic select CudnnConvLayer for GPU
* mode and ExpandConvLayer for CPU mode if you set type of "conv".
* User also can specfiy type of "exconv" or "cudnn_conv" for
* particular type.
*
* The config file api is img_conv_layer.
*/
class CudnnConvTransLayer : public CudnnConvBaseLayer {
public:
explicit CudnnConvTransLayer(const LayerConfig& config)
: CudnnConvBaseLayer(config) {}
~CudnnConvTransLayer() {}
};
} // namespace paddle
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