void (*deallocator)(void* data, size_t len, void* arg),
    void* deallocator_arg, TF_Status* status) {
  tensorflow::Device* device = nullptr;
  tensorflow::EagerContext* context =
      tensorflow::ContextFromInterface(tensorflow::unwrap(ctx));
  status->status = context->FindDeviceFromName(device_name, &device);
  if (!status->status.ok()) {
    deallocator(data, len, deallocator_arg);

  TF_TString_Init(&tstr[0]);
  TF_TString_Copy(&tstr[0], test_string, sizeof(test_string) - 1);

  auto deallocator = [](void* data, size_t len, void* arg) {};
  unique_tensor_ptr t_in(TF_NewTensor(TF_STRING, nullptr, 0, &tstr[0],
                                      sizeof(tstr), deallocator, nullptr),
                         TF_DeleteTensor);

  // Create a TF_Operation with the attribute t_in

  ParallelTensor* t_released = t.release();
  TFE_CustomDeviceTensorHandleMethods handle_methods;
  handle_methods.num_dims = &ParallelTensorNumDims;
  handle_methods.dim = &ParallelTensorDim;
  handle_methods.deallocator = &ParallelTensorDeallocator;
  handle_methods.summarize = &ParallelTensorSummarize;
  return TensorHandlePtr(TFE_NewCustomDeviceTensorHandle(
      context, parallel_device_name.c_str(), t_released->dtype(), t_released,

        this.discover = discover;
    }

    @Override
    protected void configure() {
        Provider<PlexusContainer> containerProvider = getProvider(PlexusContainer.class);
        Provider<BeanLocator> beanLocatorProvider = getProvider(BeanLocator.class);
        injector = new BridgeInjectorImpl(beanLocatorProvider, binder());
        bindScope(injector, containerProvider, SessionScoped.class, SessionScope.class);

		<property name="settings">
			{"http.cors.enabled":"true",
			 "http.cors.allow-origin":"*",
			 "discovery.type":"single-node",
			 "cluster.allocator.existing_shards_allocator.batch_enabled":"true",
			 <!--
			 "node.name":"search_engine",
			 "discovery.seed_hosts":"search_engine",
			 "cluster.initial_cluster_manager_nodes":"search_engine",

- When using a claim with immediate allocation and a pod referencing that claim couldn't get scheduled, the scheduler incorrectly may have tried to deallocate that claim. ([#122415](https://github.com/kubernetes/kubernetes/pull/122415), [@pohly](https://github.com/pohly))

- Added mock framework support for unit tests for Windows in `kubeproxy`. ([#120105](https://github.com/kubernetes/kubernetes/pull/120105), [@princepereira](https://github.com/princepereira))

- Dynamic resource allocation: when a claim uses "wait for first consumer" allocation (the default), then it will now get deallocated after it was used by a pod. That ensures that the next pod isn't affected by previous scheduling decision and that resources are not kept allocated unless really needed. If keeping a claim allocated is desired, use "immediate allocation." ([#11...

- Dynamic Resource Allocator (DRA): Enhanced validation for the ResourceClaimParametersReference and ResourceClassParametersReference with the following rules:
  
  1. `apiGroup`: If set, it must be a valid DNS subdomain (e.g. 'example.com').

        previous gradient implementation.
    *   Added a new session config setting `internal_fragmentation_fraction`,
        which controls when the BFC Allocator needs to split an oversized chunk
        to satisfy an allocation request.
    *   Added `tf.get_current_name_scope()` which returns the current full name
        scope string that will be prepended to op names.