Why are different libraries searched for in tensorflow, even though both were installed the same way?
The building process is related to the computer environment.Could building tensorflow in the same machine and installing it on the same machine help?Building on one machine and generating the *.whl,but installing on other machines may cause problem.
I built tensorflow from source and got a *.whl file that I could install on my pc with pip install *.whl. Now in the virtualenv where I installed it I can open python and do import tensorflow without a problem and also use tf. Now I tried to install this same wheel on an other pc in a virtualenv and it worked successfully, but when I try to use import tensorflow in python I get: 
ImportError: libnvidia-fatbinaryloader.so.390.48: cannot open shared object file: No such file or directory
Now I actually do not have that file on the other pc, but after checking my own pc I also don't have it here. I have on both pcs libnvidia-fatbinaryloader.so.390.87. On both pcs the LD_LIBRARY_PATH points to the directory with that version. 
How can it be that tensorflow searches for version 48 on the remote pc while searching for 87 and finding it on my pc, even though they are both installed with the same whl file? Is there a config that I need to adjust what version it should search for?