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119 lines
3.5 KiB
119 lines
3.5 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 "paddle/utils/Logging.h"
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#include "SequencePoolLayer.h"
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#include "paddle/math/Matrix.h"
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#include "paddle/utils/Stat.h"
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namespace paddle {
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/**
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* A layer for extracting the last instance of the input sequence.
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* Input: a sequence
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* If SequenceLevel = kNonseq:
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* Output: a sequence containing only the last instance of the input sequence
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* If SequenceLevel = kSeq:
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* Check input sequence must has sub-sequence
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* Output: a sequence containing only the last instance of each sub-sequence
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* of the input sequence
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*
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* The config file api is last_seq and first_seq.
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*/
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class SequenceLastInstanceLayer : public SequencePoolLayer {
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protected:
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MatrixPtr tmpSrc_;
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MatrixPtr tmpDest_;
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public:
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explicit SequenceLastInstanceLayer(const LayerConfig& config)
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: SequencePoolLayer(config) {}
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~SequenceLastInstanceLayer() {}
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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 = nullptr);
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};
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REGISTER_LAYER(seqlastins, SequenceLastInstanceLayer);
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bool SequenceLastInstanceLayer::init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) {
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SequencePoolLayer::init(layerMap, parameterMap);
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tmpSrc_ =
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Matrix::create(nullptr, /* height= */ 1, 1, /* trans= */ false, useGpu_);
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tmpDest_ =
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Matrix::create(nullptr, /* height= */ 1, 1, /* trans= */ false, useGpu_);
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return true;
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}
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void SequenceLastInstanceLayer::forward(PassType passType) {
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SequencePoolLayer::forward(passType);
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const int* starts = startPositions_->getData(false);
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MatrixPtr inputValue = getInputValue(0);
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MatrixPtr outputValue = getOutputValue();
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{
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AsyncGpuBlock asyncGpuBlock;
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REGISTER_TIMER_INFO("SequenceLastInstanceLayerForward", getName().c_str());
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for (size_t seqId = 0; seqId < newBatchSize_; ++seqId) {
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int insId =
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config_.select_first() ? starts[seqId] : starts[seqId + 1] - 1;
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outputValue->subMatrix(seqId, 1, tmpDest_)
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->assign(*(inputValue->subMatrix(insId, 1, tmpSrc_)));
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}
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}
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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, should set to 'linear' in most cases */
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forwardActivation();
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}
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void SequenceLastInstanceLayer::backward(const UpdateCallback& callback) {
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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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const int* starts = startPositions_->getData(false);
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size_t numSequences = startPositions_->getSize() - 1;
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if (inputGrad) {
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AsyncGpuBlock asyncGpuBlock;
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REGISTER_TIMER_INFO("SequenceLastInstanceLayerBackward", getName().c_str());
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for (size_t seqId = 0; seqId < numSequences; ++seqId) {
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int insId =
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config_.select_first() ? starts[seqId] : starts[seqId + 1] - 1;
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inputGrad->subMatrix(insId, 1, tmpDest_)
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->add(*(outputGrad->subMatrix(seqId, 1, tmpSrc_)));
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}
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}
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}
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} // namespace paddle
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