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60 lines
1.8 KiB
60 lines
1.8 KiB
9 years ago
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/* 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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namespace paddle {
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/**
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* A layer for finding the id which has the maximal value for each sample.
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* The result is stored in output_.ids.
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*
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* The config file api is maxid_layer.
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*/
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class MaxIdLayer : public Layer {
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private:
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/// a predetermined number of best states at each level
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size_t beamSize_;
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public:
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explicit MaxIdLayer(const LayerConfig& config) : Layer(config) {}
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virtual bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) {
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bool ret = Layer::init(layerMap, parameterMap);
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CHECK_EQ(1UL, inputLayers_.size());
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beamSize_ = config_.has_beam_size() ? config_.beam_size() : FLAGS_beam_size;
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CHECK_GE(beamSize_, 1LU);
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return ret;
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}
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virtual void 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 batchSize = input.getBatchSize();
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IVector::resizeOrCreate(output_.ids, batchSize * beamSize_, useGpu_);
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Matrix::resizeOrCreate(output_.in, batchSize, beamSize_, false,
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/* useGpu */ useGpu_);
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output_.value = nullptr;
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input.value->rowMax(*output_.ids, *output_.in);
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}
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virtual void backward(const UpdateCallback& callback) {}
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};
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REGISTER_LAYER(maxid, MaxIdLayer);
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} // namespace paddle
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