/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "AgentLayer.h" #include "paddle/utils/Logging.h" #include "paddle/utils/Stat.h" namespace paddle { REGISTER_LAYER(agent, AgentLayer); bool AgentLayer::init(const LayerMap& layerMap, const ParameterMap& parameterMap) { CHECK_EQ(config_.inputs_size(), 0); if (!Layer::init(layerMap, parameterMap)) { return false; } setNeedGradient(true); return true; } void AgentLayer::forward(PassType passType) { Layer::forward(passType); Argument& realOutput = realLayer_->getOutput(); int realHeight = realOutput.getBatchSize(); CHECK_LE(numSamples_, realHeight); // get Arguments from real layers if (numSamples_ > 0 && numSamples_ < realHeight) { if (realOutput.ids) { output_.ids->subVecFrom(*realOutput.ids, 0, numSamples_); } else { output_.subArgFrom( realOutput, /* offset */ 0, numSamples_, getSize(), useGpu_); } } else { output_ = realOutput; } } void SequenceAgentLayer::forward(PassType passType) { Layer::forward(passType); Argument& realOutput = realLayer_->getOutput(); int realNumSequences = realOutput.getNumSequences(); CHECK_LE(numSamples_, realNumSequences); // get Arguments from real layers if (numSamples_ > 0 && numSamples_ < realNumSequences) { int numRows = realOutput.sequenceStartPositions->getData(false)[numSamples_]; CHECK(!realOutput.ids) << "Not supported"; output_.subArgFrom(realOutput, /* offset */ 0, numRows, getSize(), useGpu_, /* trans */ false, /* seqFlag */ true, /* seqStart */ 0, /* seqSize */ numSamples_ + 1); } else { output_ = realOutput; } } REGISTER_LAYER(sequence_agent, SequenceAgentLayer); bool GatherAgentLayer::init(const LayerMap& layerMap, const ParameterMap& parameterMap) { CHECK_EQ(config_.inputs_size(), 0); if (!Layer::init(layerMap, parameterMap)) { return false; } setNeedGradient(true); return true; } void GatherAgentLayer::copyIdAndSequenceInfo(const Argument& input, const IVectorPtr& ids, const std::vector& idIndex) { output_.sequenceStartPositions = input.sequenceStartPositions; output_.subSequenceStartPositions = input.subSequenceStartPositions; realLayers_.clear(); allIds_ = ids; idIndex_ = idIndex; } void GatherAgentLayer::forward(PassType passType) { Layer::forward(passType); int height = allIds_->getSize(); int width = this->getSize(); resetOutput(height, width); idsVec_.resize(idIndex_.size()); const MatrixPtr& outV = getOutputValue(); for (size_t i = 0; i < realLayers_.size(); ++i) { const MatrixPtr& realV = realLayers_[i]->getOutputValue(); idsVec_[i] = IVector::create(allIds_->getData() + idIndex_[i], /* size */ realV->getHeight(), useGpu_); realV->addToRows(*outV, *idsVec_[i]); } } void GatherAgentLayer::backward(const UpdateCallback& callback) { (void)callback; const MatrixPtr& outputGrad = getOutputGrad(); for (size_t i = 0; i < realLayers_.size(); ++i) { const MatrixPtr& realG = realLayers_[i]->getOutputGrad(); if (realG) { realG->selectRows(*outputGrad, *idsVec_[i]); } } } bool ScatterAgentLayer::init(const LayerMap& layerMap, const ParameterMap& parameterMap) { CHECK_EQ(config_.inputs_size(), 0); if (!Layer::init(layerMap, parameterMap)) { return false; } setNeedGradient(true); return true; } void ScatterAgentLayer::forward(PassType passType) { Layer::forward(passType); CHECK_EQ(realLayer_->getDeviceId(), this->getDeviceId()); int width = this->getSize(); if (realOutArg_.value || realOutArg_.ids) { output_.subArgFrom( realOutArg_, /* offset */ idIndex_, idSize_, width, useGpu_); } else { // used in generation if (realLayer_->getOutput().ids) { IVector::resizeOrCreate(output_.ids, ids_->getSize(), useGpu_); output_.ids->selectFrom(*realLayer_->getOutput().ids, *ids_); } if (realLayer_->getOutput().value) { int height = ids_->getSize(); resetOutput(height, width); const MatrixPtr& outV = getOutputValue(); const MatrixPtr& realV = realLayer_->getOutputValue(); outV->selectRows(*realV, *ids_); } } } void ScatterAgentLayer::backward(const UpdateCallback& callback) { (void)callback; const MatrixPtr& outputGrad = realOutArg_.grad; const MatrixPtr& realGrad = realLayer_->getOutputGrad(); if (realGrad) { // for agent in inFrameLines and memoryFrameLines, // only first scatterAgentLayer should do addToRows in backward if (idIndex_ == 0) { outputGrad->addToRows(*realGrad, *ids_); } } } REGISTER_LAYER(gather_agent, GatherAgentLayer); REGISTER_LAYER(scatter_agent, ScatterAgentLayer); void SequenceGatherAgentLayer::forward(PassType passType) { Layer::forward(passType); int height = 0; int* starts = output_.subSequenceStartPositions->getMutableData(false); IVectorPtr idReal = realLayers_[0]->getOutputLabel(); if (idReal) { // Gather generator.idsVec // if is beam search generation result. Get first result. if (idReal->getData()[idReal->getSize() - 1] == -1) { for (size_t i = 0; i < realLayers_.size(); ++i) { // The first element stores first result size idReal = realLayers_[i]->getOutputLabel(); idReal->subVecFrom(*idReal, 1, idReal->getData()[0]); } } for (size_t i = 0; i < realLayers_.size(); ++i) { CHECK(realLayers_[i]->getOutputLabel()); starts[i] = height; height += realLayers_[i]->getOutputLabel()->getSize(); } starts[realLayers_.size()] = height; output_.sequenceStartPositions->getMutableData(false)[1] = height; IVector::resizeOrCreate(output_.ids, height, false); for (size_t i = 0; i < realLayers_.size(); ++i) { output_.ids->subVec(starts[i], starts[i + 1] - starts[i]) ->copyFrom(*realLayers_[i]->getOutputLabel()); } } else { // Gather output.value, same as GatherAgentLayer CHECK(output_.subSequenceStartPositions); GatherAgentLayer::forward(passType); } } void SequenceScatterAgentLayer::forward(PassType passType) { Layer::forward(passType); CHECK_EQ(realLayer_->getDeviceId(), this->getDeviceId()); const Argument& input = realLayer_->getOutput(); CHECK_EQ(realLayer_->getSize(), this->getSize()); int width = this->getSize(); AsyncGpuBlock asyncGpuBlock; REGISTER_TIMER_INFO("SequenceAgentLayerForward", getName().c_str()); if (realOutArg_.value || realOutArg_.ids) { CHECK(realOutArg_.sequenceStartPositions); output_.subArgFrom(realOutArg_, /* offset */ idIndex_, idSize_, width, useGpu_, /* trans */ false, /* seqFlag */ true, /* seqStart */ seqStartPosIndex_, /* seqSize */ numSequences_); } else { // used in generation int height = 0; size_t numSequences = ids_->getSize(); const int* starts = input.getCpuStartPositions(); size_t size = input.hasSubseq() ? input.getNumSubSequences() : input.getNumSequences(); const int* cpuIds = cpuIds_->getData(); for (size_t i = 0; i < numSequences; ++i) { size_t seqId = cpuIds[i]; CHECK_LT(seqId, size); height += starts[seqId + 1] - starts[seqId]; } reserveOutput(height, width); const MatrixPtr& outputValue = getOutputValue(); CHECK_NE(input.sequenceStartPositions.get(), output_.sequenceStartPositions.get()); ICpuGpuVector::resizeOrCreate( output_.sequenceStartPositions, numSequences + 1, false); int* outStarts = output_.sequenceStartPositions->getMutableData(false); ICpuGpuVector::resizeOrCreate(inputStartPos_, height, false); int* inStarts = inputStartPos_->getMutableData(false); size_t offsetOut = 0; for (size_t i = 0; i < numSequences; ++i) { outStarts[i] = offsetOut; size_t seqId = cpuIds[i]; int size = starts[seqId + 1] - starts[seqId]; for (int j = 0; j < size; j++) { inStarts[offsetOut + j] = starts[seqId] + j; } offsetOut += size; } outStarts[numSequences] = offsetOut; outputValue->copyByRowIndex(*input.value, *inputStartPos_->getVector(useGpu_)); } } REGISTER_LAYER(sequence_gather_agent, SequenceGatherAgentLayer); REGISTER_LAYER(sequence_scatter_agent, SequenceScatterAgentLayer); } // namespace paddle