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Results 1 - 3 of 3 for workloads (0.21 sec)

  1. CHANGELOG/CHANGELOG-1.19.md

        - [Deprecation warnings](#deprecation-warnings)
        - [Avoiding permanent beta](#avoiding-permanent-beta)
        - [Expanded CLI support for debugging workloads and nodes](#expanded-cli-support-for-debugging-workloads-and-nodes)
        - [Structured logging](#structured-logging)
        - [EndpointSlices are now enabled by default](#endpointslices-are-now-enabled-by-default)
    Registered: Fri Sep 05 09:05:11 UTC 2025
    - Last Modified: Wed Jan 05 05:42:32 UTC 2022
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  2. RELEASE.md

    ## Major Features and Improvements
    
    *   Support for Python3.9 has been added.
    *   `tf.data`:
        *   `tf.data` service now supports strict round-robin reads, which is useful
            for synchronous training workloads where example sizes vary. With strict
            round robin reads, users can guarantee that consumers get similar-sized
            examples in the same step.
    Registered: Tue Sep 09 12:39:10 UTC 2025
    - Last Modified: Mon Aug 18 20:54:38 UTC 2025
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  3. lib/fips140/v1.0.0.zip

    overwritten. x must already be reduced modulo m. // // m must be odd, or Exp will panic. // //go:norace func (out *Nat) Exp(x *Nat, e []byte, m *Modulus) *Nat { if !m.odd { panic("bigmod: modulus for Exp must be odd") } // We use a 4 bit window. For our RSA workload, 4 bit windows are faster // than 2 bit windows, but use an extra 12 nats worth of scratch space. // Using bit sizes that don't divide 8 are more complex to implement, but // are likely to be more efficient if necessary. table := [(1 << 4) - 1]*Nat{...
    Registered: Tue Sep 09 11:13:09 UTC 2025
    - Last Modified: Wed Jan 29 15:10:35 UTC 2025
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