type wrappedManagerImpl struct {
	*ManagerImpl
	socketdir string
	callback  func(string, []pluginapi.Device)
}

func (m *wrappedManagerImpl) PluginListAndWatchReceiver(r string, resp *pluginapi.ListAndWatchResponse) {
	var devices []pluginapi.Device
	for _, d := range resp.Devices {
		devices = append(devices, *d)
	}
	m.callback(r, devices)
}

func tmpSocketDir() (socketDir, socketName, pluginSocketName string, err error) {

}

// 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,
			ContainerPath: device.PathInContainer,
			Permissions:   device.Permissions,

}

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>

        "-parse_headers",  # buildifier: disable=no-parse-headers
    ],
    deps = [":get_compiler_ir_hdrs"],
)

# This target can be used by XLA device plugins to prevent circular dependencies, and provides access to all of the required headers for building a device library.
cc_header_only_library(
    name = "xla_jit_headers_lib",
    visibility = ["//visibility:public"],
    deps = [
        ":xla_cpu_device",

		oex,
		mount.NewFakeMounter(nil),
		hostutil.NewFakeHostUtil(nil),
		volumePluginMgr,
		kubeletPodsDir)
	reconciler := rc.(*reconciler)

	// The pod has two volumes, fake-device1 is attachable, fake-device2 is not.
	pod := &v1.Pod{
		ObjectMeta: metav1.ObjectMeta{
			Name: "pod1",
			UID:  "pod1uid",
		},
		Spec: v1.PodSpec{
			Volumes: []v1.Volume{
				{
					Name: "volume-name",

    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,

    FlatSymbolRefAttr:$f,

/** 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 {

                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.

                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.

  csession.CloseAndDelete(s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  TF_DeleteGraph(graph);
  TF_DeleteStatus(s);
}

// If `device` is non-empty, run Min op on that device.
// Otherwise run it on the default device (CPU).
void RunMinTest(const string& device, bool use_XLA) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Make a placeholder operation.