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cudnn_pooling_layer.cpp
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46 lines (38 loc) · 1.48 KB
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#ifdef USE_CUDNN
#include <vector>
#include "caffe/layers/cudnn_pooling_layer.hpp"
namespace caffe {
template <typename Dtype>
void CuDNNPoolingLayer<Dtype>::LayerSetUp(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
PoolingLayer<Dtype>::LayerSetUp(bottom, top);
CUDNN_CHECK(cudnnCreate(&handle_));
cudnn::createTensor4dDesc<Dtype>(&bottom_desc_);
cudnn::createTensor4dDesc<Dtype>(&top_desc_);
cudnn::createPoolingDesc<Dtype>(&pooling_desc_,
this->layer_param_.pooling_param().pool(), &mode_,
this->kernel_h_, this->kernel_w_, this->pad_h_, this->pad_w_,
this->stride_h_, this->stride_w_);
handles_setup_ = true;
}
template <typename Dtype>
void CuDNNPoolingLayer<Dtype>::Reshape(const vector<Blob<Dtype>*>& bottom,
const vector<Blob<Dtype>*>& top) {
PoolingLayer<Dtype>::Reshape(bottom, top);
cudnn::setTensor4dDesc<Dtype>(&bottom_desc_, bottom[0]->num(),
this->channels_, this->height_, this->width_);
cudnn::setTensor4dDesc<Dtype>(&top_desc_, bottom[0]->num(),
this->channels_, this->pooled_height_, this->pooled_width_);
}
template <typename Dtype>
CuDNNPoolingLayer<Dtype>::~CuDNNPoolingLayer() {
// Check that handles have been setup before destroying.
if (!handles_setup_) { return; }
cudnnDestroyTensorDescriptor(bottom_desc_);
cudnnDestroyTensorDescriptor(top_desc_);
cudnnDestroyPoolingDescriptor(pooling_desc_);
cudnnDestroy(handle_);
}
INSTANTIATE_CLASS(CuDNNPoolingLayer);
} // namespace caffe
#endif