Performance/speed improvements between versions

Hi, currently we are using Python 3.6 by Enthought with TensorFlow 2.2.2. We are going to update to Python 3.8 with TensorFlow 2.5+.

Are there any improvements (speed/performance) beteen these version of TensorFlow or Python?
I can’t find any relative information about this topic so maybe you can just point me on right place.

Some time ago there was a proposal at:

As you can see this is a topic that could interest also more in general the community on some specific type of contribution:

/cc @markdaoust I don’t know if you have a specific team member to mention here as I don’t have a one-o-one mapping between our github nicks involved in a thread and the ones on the forums