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57 lines
1.7 KiB
57 lines
1.7 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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#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 "internal average" for sequence input.
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* Input: one or more sequences. Each sequence contains some instances.
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* If AverageLevel = kNonSeq:
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* Output: output size is the number of input sequences (NOT input instances)
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* output[i] = average_{for each instance in this sequence}{input[i]}
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* If AverageLevel = kSeq:
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* Check input sequence must has sub-sequence
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* Output: output size is the number of input sub-sequences
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* output[i] = average_{for each instance in this sub-sequence}{input[i]}
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*/
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class AverageLayer : public Layer {
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public:
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enum AverageStrategy { kAverage = 0, kSum = 1, kAverageSquareRootN = 2 };
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enum AverageLevel { kNonSeq = 0, kSeq = 1 };
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explicit AverageLayer(const LayerConfig& config) : Layer(config) {}
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~AverageLayer() {}
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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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protected:
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std::unique_ptr<Weight> biases_;
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MatrixPtr outMtx_;
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MatrixPtr dataMtx_;
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int mode_;
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int type_;
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};
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} // namespace paddle
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