std::string* platform_name) {
  tensorflow::Env* env = tensorflow::Env::Default();

  // Step 1: Load symbol for `TF_InitPlugin`
  void* dso_symbol;
  TF_RETURN_IF_ERROR(
      env->GetSymbolFromLibrary(dso_handle, "SE_InitPlugin", &dso_symbol));

  // Step 2: Call `TF_InitPlugin`
  auto init_fn = reinterpret_cast<SEInitPluginFn>(dso_symbol);

* 📝 Update `security/first-steps.md`. PR [#11674](https://github.com/tiangolo/fastapi/pull/11674) by [@alejsdev](https://github.com/alejsdev).
* 📝 Update `security/first-steps.md`. PR [#11673](https://github.com/tiangolo/fastapi/pull/11673) by [@alejsdev](https://github.com/alejsdev).

	return nil
}

func retryWithExponentialBackOff(initialDuration time.Duration, fn wait.ConditionFunc) error {
	backoff := wait.Backoff{
		Duration: initialDuration,
		Factor:   3,
		Jitter:   0,
		Steps:    6,
	}
	return wait.ExponentialBackoff(backoff, fn)
}

func simulateVolumeInUseUpdate(
	volumeName v1.UniqueVolumeName,
	stopCh <-chan struct{},
	volumeManager kubeletvolume.VolumeManager) {

	)
	for _, envVar := range container.Env {
		runtimeVal := envVar.Value
		if runtimeVal != "" {
			// Step 1a: expand variable references
			runtimeVal = expansion.Expand(runtimeVal, mappingFunc)
		} else if envVar.ValueFrom != nil {
			// Step 1b: resolve alternate env var sources
			switch {
			case envVar.ValueFrom.FieldRef != nil:

//   - Fetch the pull secrets for the pod
//   - Call the container runtime's SyncPod callback
//   - Update the traffic shaping for the pod's ingress and egress limits
//
// If any step of this workflow errors, the error is returned, and is repeated
// on the next SyncPod call.
//
// This operation writes all events that are dispatched in order to provide