memory: 16Gi

## List of policies to be created after minio install
##
## In addition to default policies [readonly|readwrite|writeonly|consoleAdmin|diagnostics]
## you can define additional policies with custom supported actions and resources
policies: []
## writeexamplepolicy policy grants creation or deletion of buckets with name
## starting with example. In addition, grants objects write permissions on buckets starting with

nindent 10 }} {{- 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":...

   *       visible static factory method whose return type is {@code C} or {@code C}'s subtype.
   * </ul>
   *
   * <p>In all cases, if {@code C} needs custom logic for testing serialization, you can add an
   * explicit {@code testSerializable()} test in the corresponding {@code CTest} class, and {@code
   * C} will be excluded from automated serialization test performed by this method.

    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...