I am working on a Python script (I use Python 3.7.3) that uses tensorflow-gpu (1.14.0) and used PyInstaller 3.5 to convert this script to an executable. I am using CUDA 10.0 and cuDNN 7.6.1 and my graphics card is a NVIDIA GeForce GTX 960M. I recently deinstalled CUDA to test if the executable of the Python script still runs and surprisingly it still runs via GPU, which does not work when I now run the Python script directly.
My question is, can this executable be run on systems without the CUDA toolkit but with a CUDA-capable graphics card?
According to this documentation PyInstaller will make and store a private copy of all of the dependent external libraries which Python code relies on when building a single file executable.
Therefore it is safe to assume that your executable runs irrespective of the installation status of the CUDA toolkit because it has a full private copy of the necessary CUDA libraries internally which it uses when the executable is run.