tvalentyn commented on PR #17470:
URL: https://github.com/apache/beam/pull/17470#issuecomment-1148364215

   I took a closer look today. It seems that this PR combines 3 different 
efforts:
   1) Support for batched keyed examples. The key-batched values are passed to 
pytorch model via `kwargs` in model() call.
   2) Support for non-batchable `kwargs` params.
   3) Add an interpreted parameter `prediction_params`.
   
   There is collusion of `kwargs` meaning in 1 and 2.  We could explain in the 
PR description that these are independent efforts (if my understanding is 
correct).
   
   While I can squash all the changes into one commit before merge, for those 
looking up the commit history later, it may be easier to follow if efforts 1-3 
were separate commits in the repo. Do you want to squash commits accordingly?


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