/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #pragma once #include "Layer.h" #include "paddle/math/Matrix.h" #include "paddle/utils/ThreadLocal.h" namespace paddle { /** * @brief A layer for calculating l2 distance between the two input vectors. * \f[ * f(\bf{x}, \bf{y}) = \sqrt{\sum_{i=1}^D(x_i - y_i)} * \f] * * - Input1: A vector (batchSize * dataDim) * - Input2: A vector (batchSize * dataDim) * - Output: A vector (batchSize * 1) * * The config file api is l2_distance. */ class L2DistanceLayer : public Layer { public: explicit L2DistanceLayer(const LayerConfig& config) : Layer(config) {} ~L2DistanceLayer() {} bool init(const LayerMap& layerMap, const ParameterMap& parameterMap) override; void forward(PassType passType) override; void backward(const UpdateCallback& callback = nullptr) override; private: // Store result of subtracting Input2 from Input1. MatrixPtr inputSub_; }; } // namespace paddle