round robin reads, users can guarantee that consumers get similar-sized
        examples in the same step.
    *   tf.data service now supports optional compression. Previously data would
        always be compressed, but now you can disable compression by passing
        `compression=None` to `tf.data.experimental.service.distribute(...)`.
    *   `tf.data.Dataset.batch()` now supports `num_parallel_calls` and

future calls to Reset and // Sum instead of writing ipad/opad every time. // // We do this on Reset to avoid slowing down the common single-use case. // // This is allowed by FIPS 198-1, Section 6: "Conceptually, the intermediate // results of the compression function on the B-byte blocks (K0 ⊕ ipad) and // (K0 ⊕ opad) can be precomputed once, at the time of generation of the key // K, or before its first use. These intermediate results can be stored and // then used to initialize H each time that a...

future calls to Reset and // Sum instead of writing ipad/opad every time. // // We do this on Reset to avoid slowing down the common single-use case. // // This is allowed by FIPS 198-1, Section 6: "Conceptually, the intermediate // results of the compression function on the B-byte blocks (K0 ⊕ ipad) and // (K0 ⊕ opad) can be precomputed once, at the time of generation of the key // K, or before its first use. These intermediate results can be stored and // then used to initialize H each time that a...