as.True(ok)
	checkAllocatableDevicesConsistsOf(as, devInstances, []string{"R1Device1", "R1Device2"})

	// Unhealthy device becomes healthy
	resource1Devs = []pluginapi.Device{
		{ID: "R1Device1", Health: pluginapi.Healthy},
		{ID: "R1Device2", Health: pluginapi.Healthy},
		{ID: "R1Device3", Health: pluginapi.Healthy},
	}
	testManager.genericDeviceUpdateCallback(resourceName1, resource1Devs)

    const Cluster& cluster_a, const Cluster& cluster_b) {
  DeviceSet devices = cluster_a.devices();
  devices.UnionWith(cluster_b.devices());

  TF_ASSIGN_OR_RETURN(
      std::optional<jit::DeviceId> maybe_chosen_device,
      MaybePickDeviceForXla(device_info_cache_, devices,
                            /*allow_mixing_unknown_and_cpu=*/false));
  if (!maybe_chosen_device.has_value()) {

	}
	return err
}

// makeDevices generates container devices for kubelet runtime v1.
func makeDevices(opts *kubecontainer.RunContainerOptions) []*runtimeapi.Device {
	devices := make([]*runtimeapi.Device, len(opts.Devices))

	for idx := range opts.Devices {
		device := opts.Devices[idx]
		devices[idx] = &runtimeapi.Device{
			HostPath:      device.PathOnHost,

  std::vector<std::unique_ptr<Device>> devices;

  DeviceFactory* cpu_factory = DeviceFactory::GetFactory("CPU");
  if (!cpu_factory) {
    return errors::NotFound(
        "CPU Factory not registered. Can't run EncapsulateSubgraphsPass");
  }
  TF_RETURN_IF_ERROR(cpu_factory->CreateDevices(
      session_options, "/job:localhost/replica:0/task:0", &devices));
  if (devices.empty()) {
    return errors::NotFound(

}

void ExtractOutsideCompilation::runOnOperation() {
  // Get runtime devices information from the closest parent module.
  auto module = getOperation();
  if (failed(CheckPreconditions(module))) signalPassFailure();

  mlir::TF::RuntimeDevices devices;
  if (failed(tensorflow::GetDevicesFromOp(module, &devices)))
    return signalPassFailure();

  llvm::SmallVector<mlir::tf_device::ParallelExecuteOp, 4>

# builds.
filegroup(
    name = "mobile_srcs_no_runtime",
    srcs = [
        "defs.cc",
        "defs.h",
    ],
    visibility = [":friends"],
)

# Target that bundles up the XLA CPU and GPU JIT devices.
cc_library(
    name = "jit",
    visibility = [
        ":friends",
        "//learning/tfx:__subpackages__",
    ],
    deps = [
        ":xla_cpu_device",
        ":xla_cpu_jit",

    within the same symbol scope as the call and is mapped to a GraphDef node
    with the function name as the op name. Unlike a PartitionedCall which
    represents asynchronously executing a function across multiple devices, a
    LegacyCall ignores specification for ops in the attached function and
    instead executes it on the device assigned to this op.
  }];

  let arguments = (ins
    Variadic<TF_Tensor>:$args,

/** Correct `inline-block` display not defined in IE 8/9. */
audio,
canvas,
video {
	display: inline-block;
}

/** Prevent modern browsers from displaying `audio` without controls. Remove excess height in iOS 5 devices. */
audio:not([controls]) {
	display: none;
	height: 0;
}

/** Address `[hidden]` styling not present in IE 8/9. Hide the `template` element in IE, Safari, and Firefox < 22. */
[hidden],
template {

			for _, v := range mountedVolumes {
				if v.VolumeName == volumeName {
					return true, nil
				}
			}
			return false, nil
		},
	)

	if err != nil {
		t.Fatalf("expected volume devices %s to be mounted globally", volumeName)
	}
}

func waitForUncertainPodMount(t *testing.T, volumeName v1.UniqueVolumeName, podName types.UniquePodName, asw cache.ActualStateOfWorld) {

                newUpdater(AbstractFuture.class, Object.class, "value"));
      } catch (Exception // sneaky checked exception
          | Error atomicReferenceFieldUpdaterFailure) {
        // Some Android 5.0.x Samsung devices have bugs in JDK reflection APIs that cause
        // getDeclaredField to throw a NoSuchFieldException when the field is definitely there.