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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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