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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!

I'm guessing this is pretty basic, but I'm also new to Sage and can't find anything about it.

I know how to work with the ring of integers mod n. Is there something analogous for the multiplicative group of integers mod n?

Something like:

G = Mult_Integers(5)
list(G)
[1, 2, 3, 4]

Googling has been surprisingly fruitless.

Thanks!

EDIT: @Nathann: right, but I'm not talking about {0, 1, 2, . . ., n-1}, but {1, 2, 3, . . ., n-1}, which is a group with multiplication.