How to suppress specific warning in Tensorflow (Python)

I have a model that, based on certain conditions, has some unconnected gradients, and this is exactly what I want. But Tensorflow is printing out a Warning every time it encounters the unconnected gradient.

WARNING:tensorflow:Gradients do not exist for variables

Is there any way to only suppress this specific warning? I don't want to blindly suppress all warnings since there might be unexpected (and potentially useful) warnings in the future as I'm still working on my model.

How do I ignore all Tensorflow warnings?

So to knock out these warnings in a single blow, do import warnings then warnings. filterwarnings('ignore') , then run your tensorflow imports and and code that relies on the broken alpha-tensorflow code, then turn warnings back on via warnings.

Kinda hacky way:

gradients = tape.gradient(loss, model.trainable_variables)
optimizer.apply_gradients([
    (grad, var) 
    for (grad, var) in zip(gradients, model.trainable_variables) 
    if grad is not None
])