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78 lines
2.2 KiB
78 lines
2.2 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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#include "Layer.h"
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#include "paddle/math/Matrix.h"
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#include "paddle/math/BaseMatrix.h"
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namespace paddle {
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/**
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* @brief A layer for resizing a minibatch matrix h*w to h'*w'
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* @note
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* origin matrix height * witdth)
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* resize matrix: (height * width / size) * size
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*/
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class ResizeLayer : public Layer {
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public:
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explicit ResizeLayer(const LayerConfig& config) : Layer(config) {}
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bool init(const LayerMap& layerMap, const ParameterMap& parameterMap);
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void forward(PassType passType);
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void backward(const UpdateCallback& callback);
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};
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REGISTER_LAYER(resize, ResizeLayer);
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bool ResizeLayer::init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) {
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if (!Layer::init(layerMap, parameterMap)) return false;
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CHECK_EQ(1U, inputLayers_.size());
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setNeedSequenceInfo(false);
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return true;
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}
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void ResizeLayer::forward(PassType passType) {
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Layer::forward(passType);
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const Argument& input = getInput(0);
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size_t height = input.value->getHeight();
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size_t width = input.value->getWidth();
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CHECK_EQ((height * width) % getSize(), 0UL);
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reserveOutput(height * width / getSize(), getSize());
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MatrixPtr tmp =
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Matrix::create(output_.value->getData(), height, width, false, useGpu_);
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tmp->assign(*input.value);
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}
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void ResizeLayer::backward(const UpdateCallback& callback) {
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const Argument& input = getInput(0);
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size_t height = input.value->getHeight();
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size_t width = input.value->getWidth();
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if (!input.grad) {
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return;
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}
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MatrixPtr tmp =
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Matrix::create(input.grad->getData(), height * width / getSize(),
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getSize(), false, useGpu_);
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tmp->add(*output_.grad);
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}
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} // namespace paddle
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