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

enabled: false configUrl: "https://identity-provider-url/.well-known/openid-configuration" clientId: "minio" clientSecret: "" # Provide existing client secret from the Kubernetes Secret resource, existing secret will have priority over `clientId` and/or `clientSecret`` existingClientSecret: "" existingClientIdKey: "" existingClientSecret: "" claimName: "policy" scopes: "openid,profile,email" redirectUri: "https://console-endpoint-url/oauth_callback" # Can leave empty claimPrefix: "" comment: "" displayName:...

rk.png keywords: - minio - storage - object-storage - s3 - cluster maintainers: - email: ******@****.*** name: MinIO, Inc name: minio sources: - https://github.com/minio/minio version: 5.0.1 minio/values.yaml ## Provide a name in place of minio for `app:` labels ## nameOverride: "" ## Provide a name to substitute for the full names of resources ## fullnameOverride: "" ## set kubernetes cluster domain where minio is running ## clusterDomain: cluster.local ## Set default image, imageTag, and imagePullPolicy....

- Dockershim security: pod sandbox now always run with `no-new-privileges` and `runtime/default` seccomp profile
  dockershim seccomp: custom profiles can now have smaller seccomp profiles when set at pod level ([#90948](https://github.com/kubernetes/kubernetes/pull/90948), [@pjbgf](https://github.com/pjbgf)) [SIG Node]

- Added support for tracing in `kubectl` with the `--profile=trace` flag. ([#134709](https://github.com/kubernetes/kubernetes/pull/134709), [@tchap](https://github.com/tchap))

                    val arch = if (os == Os.MACOS) Arch.AARCH64 else Arch.AMD64
                    if (os == Os.WINDOWS) {
                        listOf("jprofiler")
                    } else {
                        listOf("async-profiler", "async-profiler-heap")
                    }.map { FlameGraphGenerationBuildSpec(scenario, os, arch, it) }
                }
            }

) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:
        return await dependant.call(**values)
    else:

		for _, p := range profiles {
			if p == k {
				v.Stop()
				delete(globalProfiler, k)
			}
		}
	}

	for _, profiler := range profiles {
		prof, err := startProfiler(profiler)
		if err != nil {
			s.writeErrorResponse(w, err)
			return
		}
		globalProfiler[profiler] = prof
	}
}

// DownloadProfilingDataHandler - returns profiled data.

  label selectors.'
   ([#113699](https://github.com/kubernetes/kubernetes/pull/113699), [@liggitt](https://github.com/liggitt))
- Add `percentageOfNodesToScore` as a scheduler profile level parameter to API version `v1`. When a profile `percentageOfNodesToScore` is set, it will override global `percentageOfNodesToScore`. ([#112521](https://github.com/kubernetes/kubernetes/pull/112521), [@yuanchen8911](https://github.com/yuanchen8911))

* Start synchronizing pods after network is ready.  ([#68752](https://github.com/kubernetes/kubernetes/pull/68752), [@krzysztof-jastrzebski](https://github.com/krzysztof-jastrzebski))
* kubectl has gained new --profile and --profile-output options to output go profiles ([#68681](https://github.com/kubernetes/kubernetes/pull/68681), [@dlespiau](https://github.com/dlespiau))