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  2. github.com/tensorflow/tensorflow

    RELEASE.md 

        *   Normalization can now accept mean and variance values as init args.
*   In `Attention` and `AdditiveAttention` layers, the `call()` method now
    accepts a `return_attention_scores` argument. When set to True, the layer
    returns the attention scores as an additional output argument.
*   Adds `tf.metrics.log_cosh` and `tf.metrics.logcosh` API entrypoints with the
    same implementation as their `tf.losses` equivalent.
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    - Registered: Tue Apr 30 12:39:09 GMT 2024
    - Last Modified: Mon Apr 29 19:17:57 GMT 2024
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  3. github.com/kubernetes/kubernetes

    CHANGELOG/CHANGELOG-1.19.md 

    - Scores from PodTopologySpreading have reduced differentiation as maxSkew increases. ([#90820](https://github.com/kubernetes/kubernetes/pull/90820), [@alculquicondor](https://github.com/alculquicondor)) [SIG Scheduling]
    Plain Text
    - Registered: Fri Apr 26 09:05:10 GMT 2024
    - Last Modified: Wed Jan 05 05:42:32 GMT 2022
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