#custom-layers

Keras custom layers and SavedModel export: which pieces survive the round trip without custom_objects?

I am designing a deployment pipeline where a tf.keras model containing several custom layers must be exported via model.save() in SavedModel format and later reloaded in a separate process, potentially by a team that does not have the original layer classes importable. Assume TensorFlow 2.x with eager execution. The documented contract is that custom layers

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savedmodelkerastensorflow