| /************************************************************ |
| * |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you 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. |
| * |
| *************************************************************/ |
| |
| #include <glog/logging.h> |
| #include "singa/neuralnet/neuron_layer.h" |
| #include "singa/utils/singleton.h" |
| |
| |
| namespace singa { |
| |
| using std::vector; |
| |
| void ReLULayer::Setup(const LayerProto& conf, |
| const vector<Layer*>& srclayers) { |
| Layer::Setup(conf, srclayers); |
| data_.ReshapeLike(srclayers[0]->data(this)); |
| grad_.ReshapeLike(*(srclayers[0]->mutable_grad(this))); |
| } |
| |
| void ReLULayer::ComputeFeature(int flag, const vector<Layer*>& srclayers) { |
| auto data = Tensor1(&data_); |
| auto src = Tensor1(srclayers[0]->mutable_data(this)); |
| data = expr::F<op::relu>(src); |
| } |
| |
| void ReLULayer::ComputeGradient(int flag, const vector<Layer*>& srclayers) { |
| auto data = Tensor1(&data_); |
| auto grad = Tensor1(&grad_); |
| auto gsrc = Tensor1(srclayers[0]->mutable_grad(this)); |
| gsrc = expr::F<op::relu_grad>(data)*grad; |
| } |
| |
| } // namespace singa |