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Results 1 - 3 of 3 for experimental (0.29 sec)

  1. RELEASE.md

            endpoint.
        *   Promoting `tf.data.experimental.RandomDataset` API to
            `tf.data.Dataset.random` and deprecating the experimental endpoint.
        *   Promoting `tf.data.experimental.scan` API to `tf.data.Dataset.scan` and
            deprecating the experimental endpoint.
        *   Promoting `tf.data.experimental.snapshot` API to
            `tf.data.Dataset.shapshot` and deprecating the experimental endpoint.
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Mon Aug 18 20:54:38 UTC 2025
    - 740K bytes
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  2. CHANGELOG/CHANGELOG-1.19.md

    - The Kubelet's `--experimental-allocatable-ignore-eviction` option is now marked as deprecated. ([#91578](https://github.com/kubernetes/kubernetes/pull/91578), [@knabben](https://github.com/knabben)) [SIG Node]
    Registered: Fri Sep 05 09:05:11 UTC 2025
    - Last Modified: Wed Jan 05 05:42:32 UTC 2022
    - 489.7K bytes
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  3. lib/fips140/v1.0.0.zip

    square-and-double // chain log2(_W * n) long. Turns out the fastest thing is to start out with // doublings, and switch to square-and-double once the exponent is large // enough to justify the cost of the multiplications. // The threshold is selected experimentally as a linear function of n. threshold := n / 4 // We calculate how many of the most-significant bits of the exponent we can // compute before crossing the threshold, and we do it with doublings. i := bits.UintSize for logR>>i <= threshold { i--...
    Registered: Tue Sep 09 11:13:09 UTC 2025
    - Last Modified: Wed Jan 29 15:10:35 UTC 2025
    - 635K bytes
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