66 lines
2.0 KiB
66 lines
2.0 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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#include "MaxLayer.h"
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#include "paddle/utils/Logging.h"
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#include "paddle/utils/Stat.h"
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namespace paddle {
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REGISTER_LAYER(max, MaxLayer);
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void MaxLayer::forward(PassType passType) {
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SequencePoolLayer::forward(passType);
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IVector::resizeOrCreate(
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maxIndex_, newBatchSize_ * getSize(), useGpu(deviceId_));
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maxIndex_->zeroMem();
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MatrixPtr inputValue = getInputValue(0);
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MatrixPtr outputValue = getOutputValue();
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{
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REGISTER_TIMER_INFO("MaxLayerForward", getName().c_str());
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outputValue->maxSequenceForward(
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*inputValue, *startPositions_->getVector(useGpu_), *maxIndex_);
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}
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if (config_.output_max_index()) {
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// copy maxIndex_ to output
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outputValue->copyFrom(*maxIndex_);
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} else {
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/* add the bias-vector AFTER max operation */
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if (biases_.get() != NULL) {
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outputValue->addBias(*(biases_->getW()), 1);
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}
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/* activation */ { forwardActivation(); }
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}
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}
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void MaxLayer::backward(const UpdateCallback& callback) {
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CHECK(!config_.output_max_index())
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<< "backward is not available when output_max_index is set";
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SequencePoolLayer::backward(callback);
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MatrixPtr inputGrad = getInputGrad(0);
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MatrixPtr outputGrad = getOutputGrad();
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if (inputGrad) {
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REGISTER_TIMER_INFO("MaxLayerBackward", getName().c_str());
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inputGrad->maxSequenceBackward(
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*outputGrad, *(startPositions_->getVector(useGpu_)), *maxIndex_);
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}
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}
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} // namespace paddle
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