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Since i'd like to use sparsity.keras.prune_low_magnitude on my model and failed due to unknown reason, i was wondering whether it only work on keras sequential models?
BTW my keras model has a lot skip connections , so i can only apply on pretrained models(which it works)or sequential 'block's of my model?
The text was updated successfully, but these errors were encountered:
It currently works on sequential and functional models, though it'll throw an error for subclassed models. It'd be good to update the docs to clarify this also.
Assigning to self since I'm working on initial subclassed model support.
Since i'd like to use
sparsity.keras.prune_low_magnitude
on my model and failed due to unknown reason, i was wondering whether it only work on keras sequential models?BTW my keras model has a lot skip connections , so i can only apply on pretrained models(which it works)or sequential 'block's of my model?
The text was updated successfully, but these errors were encountered: