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  1. RELEASE.md

            `Checkpoint` object that is compatible with Keras `model.save_weights()`
            and `model.load_weights`. The checkpoint is also compatible with the
            checkpoint saved in the `variables/` folder in the SavedModel.
        *   When restoring, `save_path` can be a path to a SavedModel. The function
            will automatically find the checkpoint in the SavedModel.
    
    ### `tf.data`:
    
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