Error running mnistCUDNN sample in ubuntu

Hi, I am trying to install the tensorflow gpu framework and I got some troubles with the cudnn. I run the mnistCUDNN sample to verify mu installation and I got the below output:

cudnnGetVersion() : 7605 , CUDNN_VERSION from cudnn.h : 7605 (7.6.5)
Host compiler version : GCC 7.5.0
There are 1 CUDA capable devices on your machine :
device 0 : sms 22  Capabilities 7.5, SmClock 1815.0 Mhz, MemSize (Mb) 5911, MemClock 4001.0 Mhz, Ecc=0, boardGroupID=0
Using device 0

Testing single precision
Loading image data/one_28x28.pgm
Performing forward propagation ...
Testing cudnnGetConvolutionForwardAlgorithm ...
Fastest algorithm is Algo 0
Testing cudnnFindConvolutionForwardAlgorithm ...
^^^^ CUDNN_STATUS_SUCCESS for Algo 0: 0.030720 time requiring 0 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 1: 0.069536 time requiring 3464 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 2: 0.071744 time requiring 57600 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 5: 0.103584 time requiring 203008 memory
^^^^ CUDNN_STATUS_SUCCESS for Algo 7: 0.118624 time requiring 2057744 memory
Cublas failure
Error code 0
gemv.h:77
Aborting...

Some more information:

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.87.00    Driver Version: 418.87.00    CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 1660    Off  | 00000000:01:00.0  On |                  N/A |
| 27%   41C    P8     9W / 120W |    211MiB /  5911MiB |      1%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|    0       989      G   /usr/lib/xorg/Xorg                            78MiB |
|    0      1438      G   cinnamon                                      31MiB |
|    0      8622      G   ...uest-channel-token=16736224539216711033    99MiB |
+-----------------------------------------------------------------------------+
CUDNN_VERSION from cudnn.h : 7605 (7.6.5)
Host compiler version : GCC 7.5.0
Tensorflow: 2.1.0-rc0;
CUDNN lib is in my LD_LIBRARY_PATH

What did I do wrong? How can I pass the mnistCUDNN test?

Hi,

Please verify and install the driver properly as per support matrix.

Use the method in the linux install guide. Perform all steps including verification, before attempting to do anything else

Thanks