I am trying to look at the documentation of Clara training. Unfortunately, for me it looks to be all over the place,and sometimes cyclical; not easy to navigate or maybe I am missing something. What i understood is that “The Clara Train 3.1 release is based on NVIDIA’s container for TensorFlow release 20.08 with support for NVIDIA Ampere GPUs.” Looking at the release notes of
I could see that both tensorflow 1.15.3 and 2.2.0 are supported. Upone launching the Clara docker image in an interactive session, I see that the tensorflow version is 1.15.3. A lot of work which I do uses tf 2.0. Is there any version/way where the clara train can use tf2.0?
Sorry if the question is elementary. We are looking for a way to standardise clara as the only framework for training, these things would help.