lambdify should work with tensorflow out of the box by passing
"tensorflow" as the third argument. As for limitations, I would
suggest searching the issue tracker for "tensorflow" to see what
issues existing users have run up against. I looked myself and the
only relevant one I found is
https://github.com/sympy/sympy/issues/20893. Also it's possible some
functions may not be implemented for tensorflow, in which case you
might need to make a PR to SymPy to add support for them.

Aaron Meurer

On Wed, Jul 21, 2021 at 2:44 PM Naman Nimmo <namanger...@gmail.com> wrote:
>
> Hello!
>
> I would like to express some deep learning-enabled control systems using 
> SymPy but I see a general rule that SymPy functions do not work with objects 
> from other numerical libraries like NumPy or TensorFlow.
>
> Now I could use lambdify (thanks to whoever documented that so beautifully) 
> to provide a bridge between SymPy and NumPy/TF, but are there any major 
> limitations that I need to consider before I go forward with that?  Those 
> could be the ones users usually face.
>
> Regards,
>
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>
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