48 lines
1.3 KiB
48 lines
1.3 KiB
/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved.
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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 <vector>
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#include "NormLayer.h"
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#include "paddle/legacy/math/Matrix.h"
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namespace paddle {
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/**
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* @brief response normalization across feature maps
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* namely normalize in number of size_ channels
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*/
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class CMRProjectionNormLayer : public ResponseNormLayer {
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size_t imgSizeH_, imgSizeW_;
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size_t outputH_, outputW_;
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public:
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explicit CMRProjectionNormLayer(const LayerConfig& config)
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: ResponseNormLayer(config) {}
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~CMRProjectionNormLayer() {}
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size_t getSize();
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void forward(PassType passType) override;
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void backward(const UpdateCallback& callback = nullptr) override;
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protected:
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TensorShape shape_;
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};
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} // namespace paddle
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