To Andrey1984.
Sorry for this. My previous comment has the mistake.
Please try to install the numpy.
➜ ~ sudo pip install numpy
The directory '/home/nvidia/.cache/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
The directory '/home/nvidia/.cache/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Collecting numpy
Downloading numpy-1.13.1.zip (5.0MB)
100% |████████████████████████████████| 5.0MB 134kB/s
Installing collected packages: numpy
Running setup.py install for numpy ... \
done
Successfully installed numpy-1.13.1
It seems my TX2 (R27.1) did not come with Cuda 8.0 and Cudnn 5.1 installed. Is this normal? As a result I’m not able to install tensorflow. Is there a way to install cuda and cudnn manually or only through jetpack? I have noticed that on the Nvidia webpage Jetpack 3.0 (R27.1) was removed, so I’m unable to download it.
My TX2 came with R27.1 (which would correspond to Jetpack 3.0), does that matter or can I still install cudnn 6 from Jetpack 3.1? Also, I do not currently have a workstation with Ubuntu 14.04 or a network switch. Is there any other way to install cuda and cudnn?
I think if you want to use Jetpack 3.0 - you rather should use the corresponding versions.
But if I were you - I would try to install new jetpack with updated versions.
However, In my case the upgrade resulted in some “monitor-vga-adapter” issue .
I do not think if you install cudnn from 3.1 to the 3.0 it would get coherent at once.
Problem is that the R27.1 Jetpack 3.0 Link on the Nvidia website is broken. Hence I cannot download it. Also if I upgrade with Jetpack 3.1 is this like flashing my device? I’m asking g since I have a lot of data and compiled programs on the TX2 that I don’t really wanna loose.