Caffe研究net_->Forward();/*ネットワークの順方向伝播*/
4863 ワード
net_->Forward();/ネットワークの順方向伝播:テスト画像がどのカテゴリに属するかを計算する確率、すなわち最終的な出力層/
参考資料:http://blog.csdn.net/mounty_fsc/article/details/51092906(Caffe,LeNet)順方向計算(五)
net_->Forward();/* : */
template <typename Dtype>
const vector *>& Net::Forward(Dtype* loss)
{
if (loss != NULL)
{
*loss = ForwardFromTo(0, layers_.size() - 1);
}
else
{
ForwardFromTo(0, layers_.size() - 1);
}
return net_output_blobs_;
}
template <typename Dtype>
Dtype Net::ForwardFromTo(int start, int end)
{
CHECK_GE(start, 0);
CHECK_LT(end, layers_.size());
Dtype loss = 0;
for (int i = start; i <= end; ++i)//start=0,end=244 245
{
// LOG(ERROR) << "Forwarding " << layer_names_[i];
Dtype layer_loss = layers_[i]->Forward(bottom_vecs_[i], top_vecs_[i]);
loss += layer_loss;
if (debug_info_)
{
ForwardDebugInfo(i);
}
}
return loss;
}
// Forward and backward wrappers. You should implement the cpu and
// gpu specific implementations instead, and should not change these
// functions.
template <typename Dtype>
inline Dtype Layer::Forward(const vector *>& bottom,
const vector *>& top) {
// Lock during forward to ensure sequential forward
Lock();
Dtype loss = 0;
Reshape(bottom, top);
switch (Caffe::mode()) {
case Caffe::CPU:
Forward_cpu(bottom, top);
for (int top_id = 0; top_id < top.size(); ++top_id) {
if (!this->loss(top_id)) { continue; }
const int count = top[top_id]->count();
const Dtype* data = top[top_id]->cpu_data();
const Dtype* loss_weights = top[top_id]->cpu_diff();
loss += caffe_cpu_dot(count, data, loss_weights);
}
break;
case Caffe::GPU:
Forward_gpu(bottom, top);
#ifndef CPU_ONLY
for (int top_id = 0; top_id < top.size(); ++top_id) {
if (!this->loss(top_id)) { continue; }
const int count = top[top_id]->count();
const Dtype* data = top[top_id]->gpu_data();
const Dtype* loss_weights = top[top_id]->gpu_diff();
Dtype blob_loss = 0;
caffe_gpu_dot(count, data, loss_weights, &blob_loss);
loss += blob_loss;
}
#endif
break;
default:
LOG(FATAL) << "Unknown caffe mode.";
}
Unlock();
return loss;
}
参考資料:http://blog.csdn.net/mounty_fsc/article/details/51092906(Caffe,LeNet)順方向計算(五)