status->status =
      tensorflow::OpRegistry::Global()->LookUp(op_type, &op_reg_data);
  if (!status->status.ok()) {
    return 0;
  }
  return op_reg_data->op_def.is_stateful();
}

void TF_InitMain(const char* usage, int* argc, char*** argv) {
  tensorflow::port::InitMain(usage, argc, argv);
}

int TF_PickUnusedPortOrDie() {

        "//tensorflow/lite/toco:tooling_util",
        "//tensorflow/lite/toco:types_proto_cc",
        "//tensorflow/lite:framework",
        "//tensorflow/lite:shared_library",
        "//tensorflow/lite:stateful_error_reporter",
        "//tensorflow/lite:string_util",
        "//tensorflow/lite:util",
        "//tensorflow/python/grappler:cost_analyzer_lib",
        "//tensorflow/tools/graph_transforms:transform_graph_lib",

[] # - secretName: chart-example-tls # hosts: # - chart-example.local ## Node labels for pod assignment ## Ref: https://kubernetes.io/docs/user-guide/node-selection/ ## nodeSelector: {} tolerations: [] affinity: {} topologySpreadConstr: [] ## Add stateful containers to have security context, if enabled MinIO will run as this ## user and group NOTE: securityContext is only enabled if persistence.enabled=true securityContext: enabled: true runAsUser: 1000 runAsGroup: 1000 fsGroup: 1000 fsGroupChangePolicy:...

        number). These 3 APIs will allow user to disable and switch back to
        legacy behavior if they prefer. In future (eg TF 2.10), we expect to
        totally remove the legacy code path (stateful random Ops), and these 3
        APIs will be removed as well.
    *   `tf.keras.callbacks.experimental.BackupAndRestore` is now available as
        `tf.keras.callbacks.BackupAndRestore`. The experimental endpoint is