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Results 111 - 113 of 113 for caref (0.05 sec)

  1. CHANGELOG/CHANGELOG-1.24.md

    There is no mitigation from this issue.  Cluster admins should take care to secure aggregated API servers and should not grant access to mutate `APIService`s to untrusted parties.
    
    **Affected Versions**:
      - kube-apiserver v1.25.0
      - kube-apiserver v1.24.0 - v1.24.4
    Registered: Fri Sep 05 09:05:11 UTC 2025
    - Last Modified: Thu Aug 24 00:02:43 UTC 2023
    - 473.4K bytes
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  2. RELEASE.md

            TPUs. See
            [usage guide](https://www.tensorflow.org/guide/keras/mixed_precision).
        *   Introduced the `TextVectorization` layer, which takes as input raw
            strings and takes care of text standardization, tokenization, n-gram
            generation, and vocabulary indexing. See this
            [end-to-end text classification example](https://colab.research.google.com/drive/1RvCnR7h0_l4Ekn5vINWToI9TNJdpUZB3).
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Mon Aug 18 20:54:38 UTC 2025
    - 740K bytes
    - Viewed (2)
  3. lib/fips140/v1.0.0.zip

    The paper suggests in Section 4 that we can do an "Almost Montgomery // Multiplication" by subtracting only in the overflow case, but the // cost is very similar since the constant time subtraction tells us if // x >= m as a side effect, and taking care of the broken invariant is // highly undesirable (see https://go.dev/issue/13907). copy(x.reset(n).limbs, T[n:]) x.maybeSubtractModulus(choice(c), m) // The following specialized cases follow the exact same algorithm, but // optimized for the sizes...
    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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