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105 lines
2.7 KiB
105 lines
2.7 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 <memory>
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#include "Layer.h"
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#include "paddle/gserver/evaluators/Evaluator.h"
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DECLARE_int32(trainer_id);
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namespace paddle {
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class ValidationLayer : public Layer {
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public:
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explicit ValidationLayer(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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LayerPtr getOutputLayer() { return inputLayers_[0]; }
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LayerPtr getLabelLayer() { return inputLayers_[1]; }
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LayerPtr getInfoLayer() {
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assert(inputLayers_.size() > 2);
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return inputLayers_[2];
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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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virtual void validationImp(MatrixPtr outputValue, IVectorPtr label) = 0;
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void onPassEnd() override = 0;
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};
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/*
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* AucValidation
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*/
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class AucValidation : public ValidationLayer {
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public:
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explicit AucValidation(const LayerConfig& config)
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: ValidationLayer(config),
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cpuOutput_(nullptr),
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cpuLabel_(nullptr),
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cpuWeight_(nullptr) {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void validationImp(MatrixPtr outputValue, IVectorPtr label) override;
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void onPassEnd() override;
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struct PredictionResult {
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PredictionResult(real __out, int __label) : out(__out), label(__label) {}
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real out;
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int label;
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};
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std::vector<PredictionResult> predictArray_;
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private:
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bool passBegin_;
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std::unique_ptr<Evaluator> evaluator_;
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MatrixPtr cpuOutput_;
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IVectorPtr cpuLabel_;
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MatrixPtr cpuWeight_;
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};
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/*
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* positive-negative pair rate Validation
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*/
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class PnpairValidation : public ValidationLayer {
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public:
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explicit PnpairValidation(const LayerConfig& config)
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: ValidationLayer(config) {}
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bool init(const LayerMap& layerMap,
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const ParameterMap& parameterMap) override;
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void validationImp(MatrixPtr outputValue, IVectorPtr label) override;
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void onPassEnd() override;
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private:
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bool passBegin_;
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std::unique_ptr<Evaluator> evaluator_;
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};
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typedef std::shared_ptr<ValidationLayer> ValidationLayerPtr;
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} // namespace paddle
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