59 lines
2.0 KiB
59 lines
2.0 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. 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 "SequencePoolLayer.h"
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#include "paddle/math/Matrix.h"
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#include "paddle/utils/ThreadLocal.h"
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namespace paddle {
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/**
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* A layer for "internal max" for sequence input.
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* Input: one or more sequences. Each sequence contains some instances.
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* If SequenceLevel = kNonSeq:
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* Output: output size is the number of input sequences (NOT input instances)
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* output[i] = max_{for each instance in this sequence}{input[i]}
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* If stride_ > 0:
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* Output: a shorten sequence. Stride is the step size by which we slide a
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* window upon the input sequence, and the max pooling operation is
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* then applied to each interval independently.
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* If SequenceLevel = 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] = max_{for each instance in this sub-sequence}{input[i]}
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*
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* The config file api is pooling_layer.
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*/
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class MaxLayer : public SequencePoolLayer {
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protected:
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// maxIndex_[i][j] = k : the value at (i, j) is from input[k].
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IVectorPtr maxIndex_;
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public:
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explicit MaxLayer(const LayerConfig& config) : SequencePoolLayer(config) {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override {
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return SequencePoolLayer::init(layerMap, parameterMap);
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}
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback = nullptr) override;
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};
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} // namespace paddle
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