flownet2: code refinement - comment out the unused variables.

Author: vera121

src/caffe/layers/channel_norm_layer.cpp

@@ -31,7 +31,7 @@ void ChannelNormLayer<Dtype>::Reshape(const vector<Blob<Dtype>*>& bottom,
   CHECK_EQ(top.size(), 1) << "ChannelNormLayer outputs one blob.";
 
   const int num = bottom[0]->num();
-  const int channels = bottom[0]->channels();
+  //const int channels = bottom[0]->channels();
   const int height = bottom[0]->height();
   const int width = bottom[0]->width();
 

src/caffe/layers/flow_warp_layer.cpp

@@ -127,7 +127,7 @@ void FlowWarpLayer<Dtype>::Backward_cpu(const vector<Blob<Dtype>*>& top,
     const int wh_size = width * height;
     const int whc_size = width * height * channels;
 
-    const Dtype* warped_data = top[0]->cpu_data(); // dest
+    //const Dtype* warped_data = top[0]->cpu_data(); // dest
     const Dtype* warped_diff = top[0]->cpu_diff(); // dest
     const Dtype* image_data = bottom[0]->cpu_data(); // source image
     Dtype* image_diff = bottom[0]->mutable_cpu_diff(); // source image

src/caffe/layers/flow_warp_layer.cu

@@ -362,7 +362,7 @@ void FlowWarpLayer<Dtype>::Forward_gpu(const vector<Blob<Dtype>*>& bottom, const
     int channels = top[0]->channels();
     int num = top[0]->num();
     const int wh_size = width * height;
-    const int whc_size = width * height * channels;
+    //const int whc_size = width * height * channels;
 
     Dtype* warped_data = top[0]->mutable_gpu_data(); // dest
     const Dtype* image_data = bottom[0]->gpu_data(); // source image
@@ -466,7 +466,7 @@ void FlowWarpLayer<Dtype>::Backward_gpu(const vector<Blob<Dtype>*>& top,
     int channels = top[0]->channels();
     int num = top[0]->num();
     const int wh_size = width * height;
-    const int whc_size = width * height * channels;
+    //const int whc_size = width * height * channels;
 
     const Dtype* warped_data = top[0]->gpu_data(); // dest
     const Dtype* warped_diff = top[0]->gpu_diff(); // dest