I've written something in TensorFlow that makes use of some nice group theory functions that work very easily in Sage (and seem prohibitively difficult to code from scratch). However, I can't get TensorFlow and Sage to work together. Each works on its own, but I think they rely on different Python versions and therefore won't run together. I think Sage uses Python 2.6 and TensorFlow 2.7.
Specifically, I can make a small Python script test.py that uses some Sage functions and run it using
sage --python test.py
and it runs with no problem. But trying to import the TensorFlow module in test.py throws an error saying the tensorflow module doesn't exist. Similarly, I get errors trying to import sage.all inside my .py script that uses TensorFlow. So I can neither add TensorFlow to Sage nor add Sage to Tensorflow.
I first encountered this problem in Sage 6.10 and upgrading to Sage 7.0 hasn't helped.
I'm not sure if this is relevant, but if I fire up normal Python (the kind TensorFlow uses), I get this:
from sage.env import SAGE_LOCAL
SAGE_LOCAL
which outputs '$SAGE_ROOT/local'.
However if I fire up Sage first I get this:
sage SAGE_LOCAL
which outputs ''/usr/lib/sagemath/local'.
Any possible workaround?
Thanks!
