redirected to the OpenID Provider in the beginning. For some setups, extra configuration may be required for this step to work correctly.

For a simple setup where the user/client app accesses MinIO directly (i.e. with no intervening proxies/load-balancers), and each MinIO server (if there are more than one) has a unique domain name, this redirection should work automatically with no further configuration. For example, if the MinIO service is being accessed by the browser at the URL `https...

}

TEST(CAPI_EXPERIMENTAL, LibraryPluggableDeviceLoadFunctions) {
  // TODO(penpornk): Enable this test on Windows.
#if !defined(PLATFORM_WINDOWS)
#if !defined(TENSORFLOW_NO_SHARED_OBJECTS)
  // Load the library.
  TF_Status* status = TF_NewStatus();
  string lib_path =
      tensorflow::GetDataDependencyFilepath(tensorflow::io::JoinPath(
          "tensorflow", "c", "experimental", "stream_executor", "test",

		} else {
			m.Aggregated.CPU.CPUCount = cpuCount
		}

		loadStat, err := load.Avg()
		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (loadStat)", byHostName, err.Error()))
		} else {
			m.Aggregated.CPU.LoadStat = loadStat
		}
	}
	if types.Contains(madmin.MetricsRPC) {
		gr := globalGrid.Load()
		if gr == nil {

   
   
   *TensorFlow release binaries version 1.6 and higher are prebuilt with AVX instruction sets.*
   
   
   Therefore on any CPU that does not have these instruction sets, either CPU or GPU version of TF will fail to load.
   
   Apparently, your CPU model does not support AVX instruction sets. You can still use TensorFlow with the alternatives given below:
   
      * Try Google Colab to use TensorFlow.

      } catch (e: Exception) {
        AndroidLog.androidLog(
          loggerName = OkHttpClient::class.java.name,
          logLevel = Platform.WARN,
          message = "unable to load android socket classes",
          t = e,
        )
        null
      }
  }

*   Azure Load Balancer Auto Mode: Services can be annotated to allow auto selection of available load balancers and to provide specific availability sets that host the load balancers (for example, `service.beta.kubernetes.io/azure-load-balancer-mode=auto|as1,as2...`)

### **CLI**

#### **Kubectl**

				t.Errorf("Header does not match, index: %+v != meta: %+v", hdr, gotHdr)
			}
		}
	}
	t.Run("load-legacy", func(t *testing.T) {
		var xl xlMetaV2
		err = xl.Load(data)
		if err != nil {
			t.Fatal(err)
		}
		test(t, &xl)
	})
	t.Run("roundtrip", func(t *testing.T) {
		var xl xlMetaV2
		err = xl.Load(data)
		if err != nil {
			t.Fatal(err)
		}
		data, err = xl.AppendTo(nil)
		if err != nil {

	req.Header.Set(xhttp.MinIOPeerCall, "true")

	resp, err := httpClient.Do(req)
	if err != nil {
		return err
	}
	xhttp.DrainBody(resp.Body)

	return nil
}

// connect to list of endpoints and load all Erasure disk formats, validate the formats are correct
// and are in quorum, if no formats are found attempt to initialize all of them for the first
// time. additionally make sure to close all the disks used in this attempt.

Distributed instances are now accessible on the host using the Minio CLI on port 9000 and the Minio Web Console on port 9001. Proceed to access the Web browser at <http://127.0.0.1:9001/>. Here 4 MinIO server instances are reverse proxied through Nginx load balancing.

### Notes

* By default the Docker Compose file uses the Docker image for latest MinIO server release. You can change the image tag to pull a specific [MinIO Docker image](https://hub.docker.com/r/minio/minio/).

        this.packages = Collections.unmodifiableSet(new HashSet<>(packages));
        this.key = key;
        this.configuration = configuration;
    }

    /**
     * Returns ClassLoader used to load extension classes.
     */
    public ClassRealm getClassRealm() {
        return realm;
    }

    /**
     * Returns artifacts exported by the extension, identified by groupId:artifactId string key.
     */