我得到的错误是:\cuda\cuda_dnn.cc:392] error retrieving driver version: Permission denied: could not open driver version path for reading: /proc/driver/nvidia/version
\cuda\cuda
在ubuntu14.04上,我使用pytorch时发生了cudnn.This问题: File "main.py", line 58python2.7/site-packages/torch/nn/functional.py", line 119, in conv3dRuntimeError: CUDNN_STATUS_INTERN
release-win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_dnn.cc:359] could not create cudnnhandle: CUDNN_STATUS_NOT_INITIALIZED
E c:\tf_jenkins\home\workspace\release-win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_dnn.cc:366] error retrieving
我正在尝试用Python Tensorflow CNN做CIFAR-100训练,但是错误CUDA_ERROR_OUT_OF_MEMORY,CUDA_STATUS_NOT_INITIALIZED和CUDA_STATUS_BAD_PARAMrelease-win\device\gpu\os\windows\tensorflow\stream_executor\cuda\cuda_dnn.cc:359] could not create cudnnhandle: CUDNN_STATUS_NOT_INITIALIZED
2017-05-02 17
当我尝试运行它时,我得到了以下错误消息: RuntimeError: CuDNNerror: CUDNN_STATUS_SUCCESS 代码使用pytorch 0.4.1。我已经安装了cuda。version.txt时,我得到了答案: CUDA Version 10.0.130 当我运行命令conda list -n <my env name>时,我看到: cudatoolkit ver 9.0
cudnn对于更新版本的cudnn,我需要使用pip install吗?如果是