I'm trying to import tensorflow as ts
in my script. While everything is fine in a Notebook, when I try to recreate the same script in a .py file the import returns the following, popular message:
ModuleNotFoundError: No module named 'tensorflow'
Note that both Jupyter and terminal are using the same virtual environment. In Notebook it's picked as a Kernel and in terminal it's activated with conda
.
I was convinced the whole Kernel/env idea was about preventing exactly that kind of situations. Although I'm new to python so maybe I'm missing something basic.
Also, this might have something to do with that I'm using an M1 and macos, so I have the tensorflow-macos
installed. But please consider there might be other reasons.