I am currently trying to run nvidia-docker on Jetson Xavier with Tensorflow enabled inside the container but the main problem I’m facing right now is related to “libcublas.so”.
What I’ve tried so for is the solution mentioned here:
After the OpenGL image creation is completed, I started an interactive container from it. Then I followed the instructions from the link below to install Tensorflow GPU for Xavier:
All of the package installations (pip installs and apt-get installs) completed succesfully but when I try to import tensorflow from both Python 2.7 and 3.6, I get the following error:
ImportError: libcublas.so.10.0: cannot open shared object file: No such file or directory
Also when I enter find / -type f -iname “libcublas*” command, it gives this result:
find: ‘/proc/1/map_files’: Permission denied
find: ‘/proc/16/map_files’: Permission denied
Can you please help me on what I am missing and how can I manage to run tensorflow gpu on a docker container using Jetson Xavier?