Fix KerasLayer compatibility with Keras 3.x/TF 2.16+#930
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athulya-anil wants to merge 1 commit intotensorflow:masterfrom
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Fix KerasLayer compatibility with Keras 3.x/TF 2.16+#930athulya-anil wants to merge 1 commit intotensorflow:masterfrom
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- Replaced deprecated _add_existing_weight implementation that previously relied on unsupported arguments (experimental_autocast, getter) removed in Keras 3.x. - Introduced custom weight lists (_hub_trainable_weights, _hub_non_trainable_weights) instead of using the deprecated _track_variable approach. Overrode trainable_weights and non_trainable_weights properties to properly expose hub weights to the Keras layer system. - Resolves the ValueError: Only instances of keras.Layer can be added to a Sequential model and related integration failures when using hub.KerasLayer in Sequential/Functional models.
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Fixes #101201
_add_existing_weightimplementation that previously relied on unsupportedarguments (
experimental_autocast,getter) removed in Keras 3.x._hub_trainable_weights,_hub_non_trainable_weights) instead ofusing the deprecated
_track_variableapproach.trainable_weightsandnon_trainable_weightsproperties to properly expose hub weightsto the Keras layer system.
ValueError: Only instances of keras.Layer can be added to a Sequential modeland related integration failures when using
hub.KerasLayerin Sequential/Functional models.