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  2. github.com/tensorflow/tensorflow

    RELEASE.md 

        *   Promoting `tf.data.experimental.unique` API to `tf.data.Dataset.unique`
        and deprecating the experimental endpoint.
    *   Added `stop_on_empty_dataset` parameter to `sample_from_datasets` and
        `choose_from_datasets`. Setting `stop_on_empty_dataset=True` will stop
        sampling if it encounters an empty dataset. This preserves the sampling
        ratio throughout training. The prior behavior was to continue sampling,
    Created: Tue Apr 07 12:39:13 GMT 2026
    - Last Modified: Mon Mar 30 18:31:38 GMT 2026
    - 746.5K bytes
    - Click Count (3)
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