blob: 5d4d9543c8151a0caf806545941a629d7a7a945c [file] [log] [blame]
/************************************************************
*
* 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
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* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
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* Unless required by applicable law or agreed to in writing,
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#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