: AbstractTensorHandle(kind) {}
  ~ImmediateExecutionTensorHandle() override {}
};

namespace internal {
struct ImmediateExecutionTensorHandleDeleter {
  void operator()(ImmediateExecutionTensorHandle* p) const {
    if (p != nullptr) {
      p->Unref();
    }
  }
};
}  // namespace internal

using ImmediateTensorHandlePtr =
    std::unique_ptr<ImmediateExecutionTensorHandle,

on the following DNS name from within your cluster: {{ template "minio.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local To access MinIO from localhost, run the below commands: 1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about port forwarding here: http://kubernetes.io/docs/user-guide/kubectl/kubectl_port-forward/...

#include "tensorflow/core/platform/casts.h"
#include "tensorflow/core/platform/types.h"

namespace tensorflow {

// Represents the results of the execution of an operation.
struct OutputList {
  std::vector<AbstractTensorHandle*> outputs;
  int expected_num_outputs = -1;
};

namespace tracing {

// =============================================================================

ServiceAccount metadata: name: {{ .Values.serviceAccount.name | quote }} namespace: {{ .Release.Namespace | quote }} {{- end -}} minio/templates/servicemonitor.yaml {{- if .Values.metrics.serviceMonitor.enabled }} apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: {{ template "minio.fullname" . }} {{- if .Values.metrics.serviceMonitor.namespace }} namespace: {{ .Values.metrics.serviceMonitor.namespace }} {{ else }} namespace: {{ .Release.Namespace | quote }} {{- end }} labels: app: {{...

ServiceAccount metadata: name: {{ .Values.serviceAccount.name | quote }} namespace: {{ .Release.Namespace | quote }} {{- end -}} minio/templates/servicemonitor.yaml {{- if .Values.metrics.serviceMonitor.enabled }} apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: {{ template "minio.fullname" . }} {{- if .Values.metrics.serviceMonitor.namespace }} namespace: {{ .Values.metrics.serviceMonitor.namespace }} {{ else }} namespace: {{ .Release.Namespace | quote }} {{- end }} labels: app: {{...

ServiceAccount metadata: name: {{ .Values.serviceAccount.name | quote }} namespace: {{ .Release.Namespace | quote }} {{- end -}} minio/templates/servicemonitor.yaml {{- if .Values.metrics.serviceMonitor.enabled }} apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: {{ template "minio.fullname" . }} {{- if .Values.metrics.serviceMonitor.namespace }} namespace: {{ .Values.metrics.serviceMonitor.namespace }} {{ else }} namespace: {{ .Release.Namespace | quote }} {{- end }} labels: app: {{...

import org.junit.jupiter.api.extension.ExtensionContext.Namespace
import org.junit.platform.commons.support.AnnotationSupport.findAnnotatedFields

/** Implements the policy specified by [StartStop]. */
@SuppressSignatureCheck
internal class StartStopExtension :
  BeforeEachCallback,
  BeforeAllCallback {
  override fun beforeAll(context: ExtensionContext) {
    val store = context.getStore(Namespace.create(StartStop::class.java))

ServiceAccount metadata: name: {{ .Values.serviceAccount.name | quote }} namespace: {{ .Release.Namespace | quote }} {{- end -}} minio/templates/servicemonitor.yaml {{- if .Values.metrics.serviceMonitor.enabled }} apiVersion: monitoring.coreos.com/v1 kind: ServiceMonitor metadata: name: {{ template "minio.fullname" . }} {{- if .Values.metrics.serviceMonitor.namespace }} namespace: {{ .Values.metrics.serviceMonitor.namespace }} {{ else }} namespace: {{ .Release.Namespace | quote }} {{- end }} labels: app: {{...

#include <cstdint>

#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/core/platform/logging.h"
#include "tensorflow/core/platform/test.h"

namespace tensorflow {
namespace {

TFE_MonitoringCounter0* CreateCounter0(const char* counter_name);
TFE_MonitoringCounter1* CreateCounter1(const char* counter_name,
                                       const char* label);

#define TENSORFLOW_C_EAGER_IMMEDIATE_EXECUTION_DISTRIBUTED_MANAGER_H_

#include <cstdint>
#include <string>

#include "tensorflow/core/platform/status.h"

namespace tsl {
class CoordinationServiceAgent;
}

namespace tensorflow {
class ImmediateExecutionContext;
class ServerDef;
class WorkerEnv;
class WorkerCacheInterface;

class ImmediateExecutionDistributedManager {
 public: