Tensorflow feature parity #2
Labels
enhancement
New feature or request
good first issue
Good for newcomers
help wanted
Extra attention is needed
As I personally use pytorch, the tensorflow implementations have received very little updates from the original implementation. Ideally, every feature which has been implemented for pytorch (checkpointing, StandardClip, QuantileClip, parameter-wise history, etc) should also be available in tensorflow.
These should also be implemented in a way which integrates well with the existing tensorflow framework. (Like how the pytorch implementations use a state_dict for checkpointing.)
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