backend:
              service:
                name: {{ $fullName }}
                port: 
                  number: {{ $servicePort }}
            {{- else }}
            backend:
              serviceName: {{ $fullName }}
              servicePort: {{ $servicePort }}
            {{- end }}
      {{- if . }}
      host: {{ tpl . $ | quote }}
      {{- end }}
    {{- end }}

            backend:
              service:
                name: {{ $fullName }}
                port: 
                  number: {{ $servicePort }}
            {{- else }}
            backend:
              serviceName: {{ $fullName }}
              servicePort: {{ $servicePort }}
            {{- end }}
      {{- if . }}
      host: {{ tpl . $ | quote }}
      {{- end }}
    {{- end }}

DLDevice GetDlContext(TFE_TensorHandle* h, TF_Status* status) {
  DLDevice ctx;
  const char* device_name =
      tensorflow::unwrap(h)->BackingDeviceName(&status->status);
  DeviceNameUtils::ParsedName parsed_name;
  tensorflow::DeviceNameUtils::ParseFullName(device_name, &parsed_name);
  std::string device_type = parsed_name.type;
  int device_id = 0;
  if (parsed_name.has_id) {

			filePattern="${log.file.basedir}/${domain.name}${backup.date.suffix}-%i.log.gz">
			<PatternLayout><Pattern>${log.pattern}</Pattern></PatternLayout><!-- <EcsLayout serviceName="fess" eventDataset="suggest" /> -->
			<Policies>
				<TimeBasedTriggeringPolicy />
				<SizeBasedTriggeringPolicy size="100 MB" />
			</Policies>
			<DefaultRolloverStrategy fileIndex="max" min="1"

			filePattern="${log.file.basedir}/${domain.name}${backup.date.suffix}-%i.log.gz">
			<PatternLayout><Pattern>${log.pattern}</Pattern></PatternLayout><!-- <EcsLayout serviceName="fess" eventDataset="thumbnail" /> -->
			<Policies>
				<TimeBasedTriggeringPolicy />
				<SizeBasedTriggeringPolicy size="100 MB" />
			</Policies>
			<DefaultRolloverStrategy fileIndex="max" min="1"

			filePattern="${log.file.basedir}/${domain.name}${backup.date.suffix}-%i.log.gz">
			<PatternLayout><Pattern>${log.pattern}</Pattern></PatternLayout><!-- <EcsLayout serviceName="fess" eventDataset="crawler" /> -->
			<Policies>
				<TimeBasedTriggeringPolicy />
				<SizeBasedTriggeringPolicy size="100 MB" />
			</Policies>
			<DefaultRolloverStrategy fileIndex="max" min="1"

   * debugging output.
   *
   * @since 14.0
   */
  protected String serviceName() {
    return getClass().getSimpleName();
  }

  @Override
  public String toString() {
    return serviceName() + " [" + state() + "]";
  }

  @Override
  public final boolean isRunning() {
    return delegate.isRunning();
  }

  @Override

                                                    void* device_info,
                                                    TF_Status* status);

// Returns whether `device_name` maps to a registered custom device.
TF_CAPI_EXPORT extern bool TFE_IsCustomDevice(TFE_Context* ctx,
                                              const char* device_name);

            return new Executor() {
              @Override
              public void execute(Runnable command) {}
            };
          }

          @Override
          protected String serviceName() {
            return "Foo";
          }
        };
    TimeoutException e =
        assertThrows(
            TimeoutException.class, () -> service.startAsync().awaitRunning(1, MILLISECONDS));

                                                         TF_Status* status);

// Create a new TFE_TensorHandle with the same contents as 'h' but placed
// in the memory of the device name 'device_name'.
// If source and destination are the same device, then this creates a new handle
// that shares the underlying buffer. Otherwise, it currently requires at least