*
   * @since 8.0
   */
  public static final byte DLE = 16;

  /**
   * Device Control 1. Characters for the control of ancillary devices associated with data
   * processing or telecommunication systems, more especially switching devices "on" or "off." (If a
   * single "stop" control is required to interrupt or turn off ancillary devices, DC4 is the
   * preferred assignment.)
   *
   * @since 8.0
   */

                {n = 2 : i32,
                 devices = {DEVICE_ALIAS_0 = ["/DEVICE:0", "/DEVICE:1"],
                            DEVICE_ALIAS_1 = ["/DEVICE:2", "/DEVICE:3"]}} {
  // Inside the region, %0, %2, %4, and %6 corresponds to
  // "/DEVICE:0"/"/DEVICE:2" and %1, %3, %5, and %7 corresponds to
  // "/DEVICE:1"/"/DEVICE:3", depending on which device alias is used.
  %k = "tf_device.launch"() ( {

// RUN: tf-opt -split-input-file -verify-diagnostics %s -tf-replica-id-to-device-ordinal | FileCheck %s


// Tests device ordinal is set correctly for multiple devices.
// CHECK-LABEL: func @device_ordinal_attr_added_multiple_devices
module attributes {tf.devices = ["/job:worker/replica:0/task:0/device:CPU:0", "/job:worker/replica:0/task:0/device:TPU_SYSTEM:0", "/job:worker/replica:0/task:0/device:TPU:0", "/job:worker/replica:0/task:0/device:TPU:1"]} {

       tf_device.return
    }) {device = "TPU_REPLICATED_CORE_0"} : () -> ()
    "tf_device.launch"() ({
      // CHECK:  "tf.B"(%[[RESOURCE_OUT]])
      "tf.B"(%1) : (tensor<4xf32>) -> ()
       tf_device.return
    }) {device = "TPU_REPLICATED_CORE_0"} : () -> ()
    tf_device.return
  }
  func.return
}

// Tests AssignVariable op using composite device resource is wrapped inside
// tf_device.Cluster.

  }

  // Call AddDevices to register the XLA devices.
  //
  // It may be worth refactoring out XlaOpRegistry::RegisterCompilationDevice to
  // make this more direct, but probably not worth it solely for this test.
  std::vector<std::unique_ptr<Device>> devices;
  TF_RETURN_IF_ERROR(DeviceFactory::AddDevices(session_options, "", &devices));

  GraphOptimizationPassOptions opt_options;
  opt_options.graph = graph;

							"vendor.com/device=device1",
							"vendor.com/device=device2",
						},
						"test-plugin2": {
							"vendor.com/device=device1",
							"vendor.com/device=device2",
						},
					},
				},
			},
			expectedResult: []kubecontainer.CDIDevice{
				{
					Name: "vendor.com/device=device1",
				},
				{
					Name: "vendor.com/device=device1",
				},
				{

// configuring the persistor used in the DeviceCompiler. Please note that
// non-XLA devices aren't supported yet. This is because:
// 1. PjRtClient doesn't support data transfer for non-XLA devices yet
// 2. Fetching the PjRtClient for non-XLA devices is also not supported yet
Status GetOrCreatePjRtDeviceCompilerAndProfiler(
    const OpKernelContext& ctx, const XlaPlatformInfo& platform_info,

// such as TPUExecute or XlaExecute depending on the device type and specific
// host runtime. Also does some optimization. Will return an error if it fails.
// The output Runtime ops depends on both Device Type and Runtime Host.
//
// Input:
//     Tensorflow Dialect MLIR with tf_device.cluster ops and virtual devices.
//     xla_device_type - The device type that is being targeted.
// Output:

// RUN: tf-opt %s -split-input-file -tf-xla-rewrite | FileCheck %s


module attributes {tf.devices = ["/job:worker/replica:0/task:0/device:CPU:0", "/job:worker/replica:0/task:0/device:GPU:0"]} {
  // CHECK-LABEL: func.func @convert_cluster_func
  func.func @convert_cluster_func(%arg0: tensor<i32>) -> tensor<i32> {
    // CHECK: "tf.XlaLaunch"(%arg0) <{function = @func, operandSegmentSizes = array<i32: 0, 1, 0>}> : (tensor<i32>) -> tensor<i32>

    device_list_for_alias.reserve(device_list.size());

    for (auto device : device_list)
      device_list_for_alias.emplace_back(
          mlir::cast<StringAttr>(device).getValue());

    devices.insert({device_alias, device_list_for_alias});
  }

  OpBuilder builder(replicate);
  builder.setInsertionPoint(while_op);
  // Create per-device variables for formatting state, and add them to the while
  // loop.