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Remove unused codes #6921

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Remove unused codes #6921

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3 changes: 0 additions & 3 deletions include/caffe/layers/cudnn_lcn_layer.hpp
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Original file line number Diff line number Diff line change
Expand Up @@ -36,9 +36,6 @@ class CuDNNLCNLayer : public LRNLayer<Dtype> {
cudnnLRNDescriptor_t norm_desc_;
cudnnTensorDescriptor_t bottom_desc_, top_desc_;

int size_, pre_pad_;
Dtype alpha_, beta_, k_;

size_t tempDataSize;
void *tempData1, *tempData2;
};
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9 changes: 2 additions & 7 deletions src/caffe/layers/cudnn_lcn_layer.cpp
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Expand Up @@ -17,12 +17,6 @@ void CuDNNLCNLayer<Dtype>::LayerSetUp(const vector<Blob<Dtype>*>& bottom,

// create a LRN handle
handles_setup_ = true;

size_ = this->layer_param().lrn_param().local_size();
pre_pad_ = (size_ - 1) / 2;
alpha_ = this->layer_param().lrn_param().alpha();
beta_ = this->layer_param().lrn_param().beta();
k_ = this->layer_param().lrn_param().k();
}

template <typename Dtype>
Expand All @@ -33,7 +27,8 @@ void CuDNNLCNLayer<Dtype>::Reshape(const vector<Blob<Dtype>*>& bottom,
this->channels_, this->height_, this->width_);
cudnn::setTensor4dDesc<Dtype>(&top_desc_, bottom[0]->num(),
this->channels_, this->height_, this->width_);
CUDNN_CHECK(cudnnSetLRNDescriptor(norm_desc_, size_, alpha_, beta_, k_));
CUDNN_CHECK(cudnnSetLRNDescriptor(norm_desc_, this->size_, this->alpha_,
this->beta_, this->k_));

// allocate / reallocate tempData buffers
size_t totalSizeInBytes = sizeof(Dtype)*bottom[0]->num()* \
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