It seems like even with the update to Keras 3.0, the timeseries data loading utilities are still built on Tensorflow. Are there any plans to update these to support Torch and JAX? https://keras.io/api/data_loading/timeseries/
Comment From: abheesht17
The data processing part is independent of which backend you run on. You can be on the JAX backend, for example, and train your model with the above utility (which returns a tf.data Dataset). Are you facing any issues doing that?
Secondly, we are working on integrating PyGrain (see this PR: https://github.com/keras-team/keras/pull/21494), following which we won't need to depend on tf.data when we are on a non-TF backend.
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