60 lines
1.8 KiB
60 lines
1.8 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 "Layer.h"
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#include "PoolProjection.h"
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#include "paddle/math/MathUtils.h"
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#include "paddle/utils/Logging.h"
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namespace paddle {
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/**
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* @brief A layer for spatial pyramid pooling on the input image by taking
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* the max, average, etc. within regions, so that the result vector of
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* different sized images are of the same size.
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*
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* The config file api is spp_layer.
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*/
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class SpatialPyramidPoolLayer : public Layer {
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protected:
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size_t channels_;
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size_t imgSizeW_;
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size_t imgSizeH_;
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size_t pyramidHeight_;
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std::string poolType_;
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std::vector<std::unique_ptr<PoolProjection>> poolProjections_;
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std::vector<Argument> projOutput_;
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std::vector<std::pair<size_t, size_t>> projCol_;
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public:
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explicit SpatialPyramidPoolLayer(const LayerConfig& config) : Layer(config) {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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ProjectionConfig getConfig(size_t sizeX_,
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size_t sizeY_,
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size_t channels,
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size_t pyamidLevel_,
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std::string& poolType_);
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size_t getSize();
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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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