private static final Logger log = LoggerFactory.getLogger(SingletonContext.class);
    private static SingletonContext INSTANCE;


    /**
     * Initialize singleton context using custom properties
     * 
     * This method can only be called once.
     * 
     * @param props
     * @throws CIFSException
     */

    TF_Status status;
    // Let this custom device choose the device to pin this op on if it
    // implements the pinning function.
    if (device_.shall_pin_to_this_device != nullptr) {
      return device_.shall_pin_to_this_device(tensorflow::wrap(op), &status);
    }
    return errors::Unimplemented("No custom device pinning implementation.");
  }

 private:
  TFE_Context* context_;

.Values.configPathmc }}certs {{ end }} resources: {{ toYaml .Values.makeUserJob.resources | indent 10 }} {{- end }} minio/templates/post-install-custom-command.yaml {{- if .Values.customCommands }} apiVersion: batch/v1 kind: Job metadata: name: {{ template "minio.fullname" . }}-custom-command-job namespace: {{ .Release.Namespace | quote }} labels: app: {{ template "minio.name" . }}-custom-command-job chart: {{ template "minio.chart" . }} release: {{ .Release.Name }} heritage: {{ .Release.Service }} annotations: "helm.sh/hook":...

second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # runCommand ($@) # Run custom mc command runCommand() { ${MC} "$@" return $? } # Try connecting to MinIO instance {{- if .Values.tls.enabled }} scheme=https {{- else }} scheme=http {{- end }} connectToMinio $scheme {{ if .Values.customCommands }} # Run custom commands {{- range .Values.customCommands }} runCommand {{ .command }} {{- end }} {{- end }} minio/templates/_helper_policy.tpl {{-...

second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # runCommand ($@) # Run custom mc command runCommand() { ${MC} "$@" return $? } # Try connecting to MinIO instance {{- if .Values.tls.enabled }} scheme=https {{- else }} scheme=http {{- end }} connectToMinio $scheme {{ if .Values.customCommands }} # Run custom commands {{- range .Values.customCommands }} runCommand {{ .command }} {{- end }} {{- end }} minio/templates/_helper_policy.tpl {{-...

second intervals between attempts $MC_COMMAND ; STATUS=$? ; done ; set -e ; # reset `e` as active return 0 } # runCommand ($@) # Run custom mc command runCommand() { ${MC} "$@" return $? } # Try connecting to MinIO instance {{- if .Values.tls.enabled }} scheme=https {{- else }} scheme=http {{- end }} connectToMinio $scheme {{ if .Values.customCommands }} # Run custom commands {{- range .Values.customCommands }} runCommand {{ .command }} {{- end }} {{- end }} minio/templates/_helper_policy.tpl {{-...

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 in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers...

 * plugins should always acquire model builder instances via dependency injection. Developers might want to subclass
 * this factory to provide custom implementations for some of the components used by the model builder, or use the
 * builder API to inject custom instances.
 *
 * @deprecated use {@link org.apache.maven.api.services.ModelBuilder} instead
 */
@Deprecated(since = "4.0.0")
public class DefaultModelBuilderFactory {

 * <li><dfn>Private Remote Repository</dfn>: Organizations often maintain their own private remote repositories, which may host proprietary or custom-built artifacts that are not available in the central repository. These repositories can be managed using tools like Apache Archiva, Sonatype Nexus, or JFrog Artifactory.</li>

    id: tfversion
    attributes:
      label: TensorFlow version
      placeholder: e.g., tf 2.8
    validations:
      required: true
  - type: dropdown
    id: Code
    attributes:
      label: Custom code
      options:
        - "Yes"
        - "No"
    validations:
      required: true
  - type: input
    id: OS
    attributes:
      label: OS platform and distribution