},
				CDIDevices: []kubecontainer.CDIDevice{
					{Name: "vendor1.com/class1=device1"},
					{Name: "vendor2.com/class2=device2"},
					{Name: "vendor3.com/class3=device3"},
					{Name: "vendor4.com/class4=device4"},
				},
			},
		},
		{
			description: "duplicate cdi devices are skipped",

		// Check plugin registration
		if callbackCount == 0 {
			require.Len(t, devices, 3)
			require.Equal(t, devices[0].ID, devs[0].ID)
			require.Equal(t, devices[1].ID, devs[1].ID)
			require.Equal(t, devices[2].ID, devs[2].ID)
			require.Equal(t, devices[0].Health, devs[0].Health)
			require.Equal(t, devices[1].Health, devs[1].Health)
			require.Equal(t, devices[2].Health, devs[2].Health)
		}

		// Check plugin update

      task_and_device = {task, device};
    }
  }

  return topology;
}

// Determine execution devices when topology and device assignment are defined.
// With a topology device coordinate to task and device mapping, device
// assignment device coordinates can then be mapped to task and device for TPU
// devices. The device assignment array is also validated.
//

  mlir::Builder builder(ctx);

  // Collect devices with attached metadata.
  llvm::SmallVector<mlir::NamedAttribute, 8> devices;
  devices.reserve(device_set->devices().size());

  // For device that do not have any metadata, or if we failed to parse metadata
  // from the DeviceSet, we add a unit attribute to the `tf.devices` attribute.
  for (Device* device : device_set->devices()) {

	needed := required
	// Gets list of devices that have already been allocated.
	// This can happen if a container restarts for example.
	devices := m.podDevices.containerDevices(podUID, contName, resource)
	if devices != nil {
		klog.V(3).InfoS("Found pre-allocated devices for resource on pod", "resourceName", resource, "containerName", contName, "podUID", podUID, "devices", sets.List(devices))
		needed = needed - devices.Len()

  llvm::SmallVector<std::unique_ptr<Device>, 2> devices;
  devices.push_back(FakeDevice::Make(cpu0));
  devices.push_back(FakeDevice::Make(gpu0, "compute capability: 7.0"));
  devices.push_back(FakeDevice::Make(gpu1));

  DeviceSet device_set;
  for (auto& device : devices) device_set.AddDevice(device.get());
  AddDevicesToOp(*module_ref, &device_set);

  auto devices_attr =

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) {

        "Multiple CPU devices ", device_info_cache.DebugString(devices)));
  }

  if (multiple_gpu_devices) {
    FAILED_TO_PICK_DEVICE(errors::Internal(
        "Multiple GPU devices ", device_info_cache.DebugString(devices)));
  }

  if (multiple_unknown_devices) {
    FAILED_TO_PICK_DEVICE(errors::Internal(
        "Multiple unknown devices ", device_info_cache.DebugString(devices)));
  }

			request:     5,
			devices: func() []pluginapi.Device {
				devices := []pluginapi.Device{}
				for i := 0; i < 100; i++ {
					id := fmt.Sprintf("Dev%d", i)
					devices = append(devices, makeNUMADevice(id, 0))
				}
				for i := 100; i < 200; i++ {
					id := fmt.Sprintf("Dev%d", i)
					devices = append(devices, makeNUMADevice(id, 1))
				}
				return devices
			}(),

	resources, exists := containers[contName]
	if !exists {
		return
	}
	for resource, devices := range resources {
		allocatedResources[resource] = allocatedResources[resource].Difference(devices.deviceIds.Devices())
	}
}

// Returns all devices allocated to the pods being tracked, keyed by resourceName.
func (pdev *podDevices) devices() map[string]sets.Set[string] {
	ret := make(map[string]sets.Set[string])
	pdev.RLock()