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93 lines
2.4 KiB
93 lines
2.4 KiB
/* Copyright (c) 2016 Baidu, Inc. 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 "ConvBaseLayer.h"
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#include "paddle/math/Matrix.h"
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#include <vector>
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namespace paddle {
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/**
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* @brief A subclass of convolution layer.
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* This layer expands input and use matrix multiplication to
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* calculate convolution operation.
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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 ExpandConvLayer : public ConvBaseLayer {
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protected:
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/// For expand convolution.
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/// subM_ = numFilters_ / groups_.
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IntV subM_;
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/// subN_ = outputH_ * outputW_.
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IntV subN_;
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/// subK_ = channels_ * filterPixels_ * groups_.
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IntV subK_;
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/// Expand one sample at a time. shape:
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/// (numChannels * filterPixels_, outputSizeH * outputSizeW)
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MatrixPtr expandInput_;
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/// The transpose of output, which is an auxiliary matrix.
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MatrixPtr transOutValue_;
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public:
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explicit ExpandConvLayer(const LayerConfig& config) : ConvBaseLayer(config) {}
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~ExpandConvLayer() {}
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bool init(const LayerMap& layerMap, const ParameterMap& parameterMap);
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size_t getOutputSize();
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/**
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* Create or resize expandInput_.
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*/
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void resetExpandInput(size_t height, size_t width);
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/**
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* Create or resize transOutValue_.
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*/
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void resetConvOutput(size_t batchSize, int inIdx);
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/**
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* Expand one input sample.
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*/
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void expandOneFrame(MatrixPtr image, size_t startIdx, int inIdx);
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/**
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* Expand one input sample and perform matrix multiplication.
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*/
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void expandFwdOnce(MatrixPtr image, int inIdx, int startIdx);
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/**
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* Add shared bias.
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*/
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void addSharedBias();
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/**
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* Add unshared bias.
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*/
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void addUnsharedBias();
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void forward(PassType passType);
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void bpropSharedBias(MatrixPtr biases, MatrixPtr v);
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void bpropBiases(MatrixPtr v);
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void backward(const UpdateCallback& callback);
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void bpropWeights(MatrixPtr v, int inpIdx);
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void bpropActs(MatrixPtr v, int inpIdx);
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};
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} // namespace paddle
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