CaffeOnACL/src/caffe/layers/elu_layer.cpp at master · 2php/CaffeOnACL · GitHub

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#include <algorithm>

#include <vector>

#include "caffe/layers/elu_layer.hpp"

namespace caffe {

template <typename Dtype>

void ELULayer<Dtype>::Forward_cpu(const vector<Blob<Dtype>*>& bottom,

const vector<Blob<Dtype>*>& top) {

const Dtype* bottom_data = bottom[0]->cpu_data();

Dtype* top_data = top[0]->mutable_cpu_data();

const int count = bottom[0]->count();

Dtype alpha = this->layer_param_.elu_param().alpha();

for (int i = 0; i < count; ++i) {

top_data[i] = std::max(bottom_data[i], Dtype(0))

+ alpha * (exp(std::min(bottom_data[i], Dtype(0))) - Dtype(1));

}

template <typename Dtype>

void ELULayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,

const vector<bool>& propagate_down,

const vector<Blob<Dtype>*>& bottom) {

if (propagate_down[0]) {

const Dtype* bottom_data = bottom[0]->cpu_data();

const Dtype* top_data = top[0]->cpu_data();

const Dtype* top_diff = top[0]->cpu_diff();

Dtype* bottom_diff = bottom[0]->mutable_cpu_diff();

const int count = bottom[0]->count();

Dtype alpha = this->layer_param_.elu_param().alpha();

for (int i = 0; i < count; ++i) {

bottom_diff[i] = top_diff[i] * ((bottom_data[i] > 0)

+ (alpha + top_data[i]) * (bottom_data[i] <= 0));

}

#ifdef CPU_ONLY

STUB_GPU(ELULayer);

#endif

INSTANTIATE_CLASS(ELULayer);

REGISTER_LAYER_CLASS(ELU);

} // namespace caffe

CaffeOnACL/src/caffe/layers/elu_layer.cpp at master · 2php/CaffeOnACL · GitHub

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