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vendor more models instead of re-implement them (user would need to install appropriate backend as needed): e.g., DAS, DAN, etc
not have to deal with pain points of lightning that I am now running into
be able to use jax for ops that are still not painful/not possible in torch/tensorflow
I am sure there are similar pain points to using keras with multiple back-ends but it is a simple API that would make it easier for users to implement their own models without having to grok the abstraction I came up with. I would need to test it in a branch and see what breaks
The text was updated successfully, but these errors were encountered:
Keras 3.0 is out and allows tensorflow/torch/jax as backends.
This would let us
I am sure there are similar pain points to using keras with multiple back-ends but it is a simple API that would make it easier for users to implement their own models without having to grok the abstraction I came up with. I would need to test it in a branch and see what breaks
The text was updated successfully, but these errors were encountered: