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68 lines
2.1 KiB
68 lines
2.1 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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#pragma once
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#include "Layer.h"
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#include "paddle/math/Matrix.h"
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namespace paddle {
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/**
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* A layer for "Expand Dense data or (sequence data where the length of each
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* sequence is one) to sequence data."
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*
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* It should have exactly 2 input, one for data, one for size:
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* - first one for data
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* - If ExpandLevel = kNonSeq: dense data
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* - If ExpandLevel = kSeq: sequence data where the length of each sequence is
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* one
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* - second one only for sequence info
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* - should be sequence data with or without sub-sequence.
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*
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* And the output size is the batch size(not instances) of second input.
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*
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* The config file api is expand_layer.
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*/
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class ExpandLayer : public Layer {
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protected:
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std::unique_ptr<Weight> biases_;
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/// if input[0] is dense data, ExpandLevel=kNonSeq;
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/// if input[0] is sequence data, ExpandLevel=kSeq
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enum ExpandLevel { kNonSeq = 0, kSeq = 1 };
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/// store the ExpandLevel
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int type_;
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// TODO(luotao) use ICpuGpuVectorPtr to merge cpuExpandStartsPos_
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// and expandStartsPos_
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/// expanded sequenceStartPositions or subSequenceStartPositions
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/// of input[1]
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IVectorPtr cpuExpandStartsPos_;
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/// point to cpuExpandStartsPos_ when useGpu_ is false,
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/// copy from cpuExpandStartsPos_ when useGpu_ is true
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IVectorPtr expandStartsPos_;
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public:
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explicit ExpandLayer(const LayerConfig& config) : Layer(config) {}
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~ExpandLayer() {}
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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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} // namespace paddle
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