54 lines
1.5 KiB
54 lines
1.5 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 <vector>
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#include "Layer.h"
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#include "paddle/legacy/math/Matrix.h"
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#include "paddle/legacy/utils/Logging.h"
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#include "paddle/legacy/utils/Stat.h"
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namespace paddle {
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/**
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* This layer transpose the pooling process.
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* It takes two input, the first input is the input data, and
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* the second is the mask data from the max-pool-with-mask layer.
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*
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*/
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class UpsampleLayer : public Layer {
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public:
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explicit UpsampleLayer(const LayerConfig& config) : Layer(config) {}
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~UpsampleLayer() {}
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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) override;
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size_t getOutputSize();
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protected:
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size_t scale_, scaleY_;
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size_t upsampleSize_, upsampleSizeY_;
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size_t padOutX_, padOutY_;
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size_t imgSize_, imgSizeY_;
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size_t channels_;
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};
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} // namespace paddle
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