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  1. RELEASE.md

    *   `Optimizer.__init__` now accepts a `gradient_aggregator` to allow for
        customization of how gradients are aggregated across devices, as well as
        `gradients_transformers` to allow for custom gradient transformations (such
        as gradient clipping).
    *   Improvements to Keras preprocessing layers:
        *   TextVectorization can now accept a vocabulary list or file as an init
            arg.
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