Framework semantic default

deeply nested inputs Functional Model Keras 3

A model using nested dictionaries/lists fails construction after migration.

Keras 3Machine learningFramework semantic defaultkeras3

Agent Quick Fix

Repair against the current Keras 3 contract, then keep the change narrow and source-backed.

Product: Keras 3
Current-contract area: Keras 3 deeply nested Functional inputs rejected
Likely root cause: A model using nested dictionaries/lists fails construction after migration.
Repair direction: Verifier checks behavior across multiple requests/build modes, not merely compilation. Check model outputs and save/load behavior, not only construction.

Symptom

A model using nested dictionaries/lists fails construction after migration.

Why This Happens

Local code often type-checks under both old and new framework semantics; the failure depends on the installed framework version and current runtime defaults.

Common Wrong Fixes

  • Changing local code without checking the current external contract.
  • Retrying the same install, build, or API call with no version/source change.
  • Applying a broad unsafe bypass when a narrow compatibility fix is available.

Codex Search Keywords

These are the search terms observed in a neutral Codex validation run for this failure shape.

site:keras.io/guides/migrating_to_keras_3 deeply nested inputs Functional Model Keras 3
https://keras.io/guides/migrating_to_keras_3/

Source Trail