"Count of offline drives in the cluster")
	healthDrivesOnlineCountMD = NewGaugeMD(healthDrivesOnlineCount,
		"Count of online drives in the cluster")
	healthDrivesCountMD = NewGaugeMD(healthDrivesCount,
		"Count of all drives in the cluster")
)

// loadClusterHealthDriveMetrics - `MetricsLoaderFn` for cluster storage drive metrics
// such as online, offline and total drives.

  CheckRemoteMatMulExecutesOK(ctx, remote_device_name, local_device_name);

  // Adding a non-existent remote worker to cluster def. This should cause the
  // UpdateServerDef call to fail.
  tensorflow::ClusterDef* cluster_def = server_def.mutable_cluster();
  tensorflow::JobDef* job_def = cluster_def->mutable_job(0);
  int port = tensorflow::testing::PickUnusedPortOrDie();
  job_def->mutable_tasks()->insert(

)

// loadClusterNotificationMetrics - `MetricsLoaderFn` for cluster notification metrics.
func loadClusterNotificationMetrics(_ context.Context, m MetricValues, _ *metricsCache) error {
	if globalEventNotifier == nil {
		return nil
	}

	nstats := globalEventNotifier.targetList.Stats()

John Howard <******@****.***> 1590784921 -0700

		targetID)
	auditTotalMessagesMD = NewCounterMD(auditTotalMessages,
		"Total number of messages sent since start",
		targetID)
)

// loadClusterAuditMetrics - `MetricsLoaderFn` for cluster audit
// such as failed messages and total messages.
func loadClusterAuditMetrics(_ context.Context, m MetricValues, c *metricsCache) error {
	audit := logger.CurrentStats()
	for id, st := range audit {

		poolIDL, setIDL)
)

func b2f(v bool) float64 {
	if v {
		return 1
	}
	return 0
}

// loadClusterErasureSetMetrics - `MetricsLoaderFn` for cluster storage erasure
// set metrics.
func loadClusterErasureSetMetrics(ctx context.Context, m MetricValues, c *metricsCache) error {
	result, _ := c.esetHealthResult.Get()

John Howard <******@****.***> 1590784921 -0700

system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas...

- Base-images: Update to debian-iptables:buster-v1.4.0
  - Uses iptables 1.8.5
  - base-images: Update to debian-base:buster-v1.3.0
  - cluster/images/etcd: Build etcd:3.4.13-2 image
    - Uses debian-base:buster-v1.3.0 ([#98401](https://github.com/kubernetes/kubernetes/pull/98401), [@pacoxu](https://github.com/pacoxu)) [SIG Testing]

cluster/agent                                                       cluster/agent                         -        -          -               STATIC     
cluster/inbound-vip|8000|http|httpbin.default.svc.cluster.local     httpbin.default.svc.cluster.local     8000     http       inbound-vip     EDS