This follows on from this question: How to downgrade Cuda and cuDNN Version in Google Colab?
I've followed the instructions and have first downgraded Cuda 10.0 to Cuda 8.0. I've then downloaded cuDNN v6.0 to my local drive and uploaded to my Google Drive which I have mounted. I then install with the following code:
!dpkg -i "~/Downloads/libcudnn6_6.0.21-1+cuda8.0_amd64.deb"
!ls -l /usr/lib/x86_64-linux-gnu/libcudnn.so.6*
I get a message in the log as follows:
/sbin/ldconfig.real: /usr/local/lib/python3.6/dist-packages/ideep4py/lib/libmkldnn.so.0 is not a symbolic link
It does appear to have been installed:
lrwxrwxrwx 1 root root 18 Apr 12 2017 /usr/lib/x86_64-linux-gnu/libcudnn.so.6 -> libcudnn.so.6.0.21
-rw-r--r-- 1 root root 154322864 Apr 12 2017 /usr/lib/x86_64-linux-gnu/libcudnn.so.6.0.21
When I check where cuDNN is installed I get:
cudnn: /usr/include/cudnn.h
Checking the version I get:
#define CUDNN_VERSION (CUDNN_MAJOR * 1000 + CUDNN_MINOR * 100 + CUDNN_PATCHLEVEL)
#include "driver_types.h"
However, when I try to use my model I receive:
no CUDA-capable device is detected
I'm confused. Have I installed the correct version of cuDNN properly?
