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  2. github.com/kubernetes/kubernetes

    CHANGELOG/CHANGELOG-1.19.md 

    - Adds profile label to kube-scheduler metric framework_extension_point_duration_seconds ([#92268](https://github.com/kubernetes/kubernetes/pull/92268), [@alculquicondor](https://github.com/alculquicondor)) [SIG Instrumentation and Scheduling]
- Adds profile label to kube-scheduler metric schedule_attempts_total
    Registered: Fri Nov 01 09:05:11 UTC 2024
    - Last Modified: Wed Jan 05 05:42:32 UTC 2022
    - 489.7K bytes
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  3. github.com/tensorflow/tensorflow

    RELEASE.md 

        analyzing input pipeline performance with TF Profiler.

*   [`tf.distribute.TPUStrategy`](https://www.tensorflow.org/api_docs/python/tf/distribute/TPUStrategy)
    is now a stable API and no longer considered experimental for TensorFlow.
    (earlier `tf.distribute.experimental.TPUStrategy`).

*   [TF Profiler](https://www.tensorflow.org/guide/profiler) introduces two new
    tools: a memory profiler to visualize your model’s memory usage over time
    Registered: Tue Nov 05 12:39:12 UTC 2024
    - Last Modified: Tue Oct 22 14:33:53 UTC 2024
    - 735.3K bytes
    - Viewed (0)
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