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RELEASE.md
`compression=None` to `tf.data.experimental.service.distribute(...)`. * `tf.data.Dataset.batch()` now supports `num_parallel_calls` and `deterministic` arguments. `num_parallel_calls` is used to indicate that multiple input batches should be computed in parallel. With `num_parallel_calls` set, `deterministic` is used to indicate that outputs can be obtained in the non-deterministic order.
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