56 lines
1.6 KiB
56 lines
1.6 KiB
/* 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 "Layer.h"
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#include "paddle/math/Matrix.h"
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namespace paddle {
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/**
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* A layer to do max out on conv layer output.
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* Input: output of a conv layer.
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* Output: feature map size same as input. Channel is (input channel) / groups.
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* So the num of channels should be able to devided by groups.
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*
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* The config file api is maxout_layer.
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*/
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class MaxOutLayer : public Layer {
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protected:
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size_t groups_;
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size_t imgSizeH_, imgSizeW_;
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/// outputChannels_ = channels_ / groups_
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size_t channels_, outputChannels_;
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/// feature length = imgSizeH_ * imgSizeW_
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size_t featLen_;
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IVectorPtr maxoutId_;
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public:
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/// return imgSizeH_ * imgSizeW_ * outputChannels_;
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size_t getSize();
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explicit MaxOutLayer(const LayerConfig& config) : Layer(config) {}
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virtual ~MaxOutLayer() {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback = nullptr) override;
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};
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} // namespace paddle
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