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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#pragma once
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#include <vector>
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#include "ConvBaseLayer.h"
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#include "Projection.h"
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#include "paddle/math/Matrix.h"
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namespace paddle {
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/**
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* @brief A 2-dimension conv layer implemented by cuDNN. It only
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* supports GPU mode. We automatic select CudnnConvLayer for GPU
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* mode and ExpandConvLayer for CPU mode if you set type of "conv".
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* User also can specfiy type of "exconv" or "cudnn_conv" for
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* particular type.
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*
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* The config file api is img_conv_layer.
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*/
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class CudnnConvBaseLayer : public ConvBaseLayer {
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protected:
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std::vector<std::unique_ptr<ProjectionConfig>> projConf_;
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std::vector<std::unique_ptr<Projection>> projections_;
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hl_tensor_descriptor biasDesc_;
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hl_tensor_descriptor outputDesc_;
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public:
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explicit CudnnConvBaseLayer(const LayerConfig& config)
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: ConvBaseLayer(config) {}
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~CudnnConvBaseLayer();
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback) override;
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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};
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} // namespace paddle
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