在安裝faster-rcnn事如果報這種錯誤

In file included from ./include/caffe/util/device_alternate.hpp:40:0,
                 from ./include/caffe/common.hpp:19,
                 from ./include/caffe/blob.hpp:8,
                 from ./include/caffe/net.hpp:10,
                 from ./include/caffe/solver.hpp:7,
                 from ./include/caffe/sgd_solvers.hpp:7,
                 from src/caffe/solvers/adam_solver.cpp:3:
./include/caffe/util/cudnn.hpp: In function ‘const char* cudnnGetErrorString(cudnnStatus_t)’:
./include/caffe/util/cudnn.hpp:21:10: warning: enumeration value ‘CUDNN_STATUS_RUNTIME_PREREQUISITE_MISSING’ not handled in switch [-Wswitch]
   switch (status) {
          ^
./include/caffe/util/cudnn.hpp: In function ‘void caffe::cudnn::setConvolutionDesc(cudnnConvolutionStruct**, cudnnTensorDescriptor_t, cudnnFilterDescriptor_t, int, int, int, int)’:
./include/caffe/util/cudnn.hpp:108:70: error: too few arguments to function ‘cudnnStatus_t cudnnSetConvolution2dDescriptor(cudnnConvolutionDescriptor_t, int, int, int, int, int, int, cudnnConvolutionMode_t, cudnnDataType_t)’
       pad_h, pad_w, stride_h, stride_w, 1, 1, CUDNN_CROSS_CORRELATION));
                                                                      ^
 

處理方案:

這種問題出現的原因是在rbg開源這套物體檢查方案時是依據的當時最新的cundnn版本，而這麼多年過去，cudnn已經發布了好幾個版本，所以要處理這個問題，只需要將caffe框架下的所有cudnn相關的檔案替換車成當前caffe最新的即可.

rbg的faster-rcnn模型程式碼地址： https://github.com/rbgirshick/py-faster-rcnn

cafe框架的程式碼地址： https://github.com/BVLC/caffe

進入faster-rcnn目錄下caffe-fast-rcnn的src/caffe/util/cudnn.cpp 以及src/caffe/layers/cudnn中的所有檔案，還有include/util/cudnn.hpp 和include/layers/cudnn

參考：https://www.cnblogs.com/gongxijun/p/6672797.html