在編譯caffe時出現錯誤：

In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/common.cpp:7:
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::createPoolingDesc(cudnnPoolingStruct**, caffe::PoolingParameter_PoolMethod, cudnnPoolingMode_t*, int, int, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:127:41: error: too few arguments to function ‘cudnnStatus_t cudnnSetPooling2dDescriptor(cudnnPoolingDescriptor_t, cudnnPoolingMode_t, cudnnNanPropagation_t, int, int, int, int, int, int)’
         pad_h, pad_w, stride_h, stride_w));
                                         ^
./include/caffe/util/cudnn.hpp:15:28: note: in definition of macro ‘CUDNN_CHECK’
     cudnnStatus_t status = condition; \
                            ^
In file included from ./include/caffe/util/cudnn.hpp:5:0,
                 from ./include/caffe/util/device_alternate.hpp:40,
                 from ./include/caffe/common.hpp:19,
                 from src/caffe/common.cpp:7:
/usr/local/cuda-7.5//include/cudnn.h:803:27: note: declared here
 cudnnStatus_t CUDNNWINAPI cudnnSetPooling2dDescriptor(
                           ^
make: *** [.build_release/src/caffe/common.o] Error 1
 

這是因為當前版本的caffe的cudnn實現與系統所安裝的cudnn的版本不一致引起的。

解決辦法：

1.將./include/caffe/util/cudnn.hpp 換成最新版的caffe裡的cudnn的實現，即相應的cudnn.hpp.

2. 將./include/caffe/layers裡的，所有以cudnn開頭的檔案，例如cudnn_conv_layer.hpp。   都替換成最新版的caffe裡的相應的同名檔案。

3.將./src/caffe/layer裡的，所有以cudnn開頭的檔案，例如cudnn_lrn_layer.cu，cudnn_pooling_layer.cpp，cudnn_sigmoid_layer.cu。

   都替換成最新版的caffe裡的相應的同名檔案。

rbgirshick的py-faster-rcnn實現，因為其cudnn實現為舊版本的實現，所有出現了以上問題.