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#ifdef USE_CUDNN
#include <vector>
#include "thrust/device_vector.h"
#include "caffe/vision_layers.hpp"
namespace caffe {
template <typename Dtype>
void CuDNNSoftmaxLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
const Dtype* bottom_data = bottom[0]->gpu_data();
Dtype* top_data = top[0]->mutable_gpu_data();
CUDNN_CHECK(cudnnSoftmaxForward(handle_, CUDNN_SOFTMAX_ACCURATE,
CUDNN_SOFTMAX_MODE_CHANNEL,
cudnn::dataType<Dtype>::one,
bottom_desc_, bottom_data,
cudnn::dataType<Dtype>::zero,
top_desc_, top_data));
}
template <typename Dtype>
void CuDNNSoftmaxLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
const vector<bool>& propagate_down, const vector<Blob<Dtype>*>& bottom) {
if (propagate_down[0]) {
const Dtype* top_data = top[0]->gpu_data();
const Dtype* top_diff = top[0]->gpu_diff();
const Dtype* bottom_data = bottom[0]->gpu_data();
Dtype* bottom_diff = bottom[0]->mutable_gpu_diff();
CUDNN_CHECK(cudnnSoftmaxBackward(handle_, CUDNN_SOFTMAX_ACCURATE,
CUDNN_SOFTMAX_MODE_CHANNEL,
cudnn::dataType<Dtype>::one,
top_desc_, top_data, top_desc_, top_diff,
cudnn::dataType<Dtype>::zero,
bottom_desc_, bottom_diff));
}
}
INSTANTIATE_LAYER_GPU_FUNCS(CuDNNSoftmaxLayer);
} // namespace caffe
#endif
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