func (b *B) run() BenchmarkResult {
	go b.launch()
	<-b.signal
	return b.result
}

// launch launches the benchmark function. It gradually increases the number
// of benchmark iterations until the benchmark runs for a second in order
// to get a reasonable measurement. It prints timing information in this form
//		testing.BenchmarkHello	100000		19 ns/op
// launch is run by the fun function as a separate goroutine.

  std::string device = tensorflow::GetDeviceAliasForHostOfLogicalCore(0);
  LaunchOp launch = tensorflow::WrapOpInLaunch(
      &before_cluster_builder, val_bcast.getLoc(), assigned_id, device);

  Value all_reduce =
      CreateAllReduce(replicate, inner_builder, launch.getResult(0));

  orig_to_new[val_bcast] = all_reduce;
  return success();
}

static java.util.HashMap instances; private org.codehaus.plexus.classworlds.launcher.Configurator config; public static ConfiguratorAdapter getInstance(org.codehaus.plexus.classworlds.launcher.Configurator, Launcher); public static ConfiguratorAdapter getInstance(org.codehaus.plexus.classworlds.launcher.Configurator, ClassWorld); private void ConfiguratorAdapter(org.codehaus.plexus.classworlds.launcher.Configurator, Launcher); private void ConfiguratorAdapter(org.codehaus.plexus.classworlds.launcher.Configurator,...

  mlir::OpBuilder builder(&context);
  auto loc = cluster->getLoc();

  // Wrap the cluster op into a Launch op
  auto launch_op = tensorflow::WrapOpInLaunch(&builder, loc, cluster, device);

  EXPECT_TRUE(llvm::isa<mlir::tf_device::LaunchOp>(launch_op));
  launch_op->erase();
}

}  // namespace

  // CHECK: %[[ORIG_LAUNCH:[0-9]*]]:2 = "tf_device.launch"
  // CHECK: "tf.OpG"(%[[ORIG_LAUNCH]]#1
  // CHECK: %[[COMPILE_LAUNCH:[0-9]*]]:2 = "tf_device.launch"
  // CHECK: TPUCompileMlir
  // CHECK: "tf.OpA"(%[[COMPILE_LAUNCH]]#1
  // CHECK: "tf.OpC"
  // CHECK: "tf.OpB"(%[[COMPILE_LAUNCH]]#1
  // CHECK: "tf.OpD"
  %0:2 = "tf_device.launch"() ({

    var firstException: IOException? = null
    try {
      while (tcpConnectsInFlight.isNotEmpty() || routePlanner.hasNext()) {
        if (routePlanner.isCanceled()) throw IOException("Canceled")

        // Launch a new connection if we're ready to.
        val now = taskRunner.backend.nanoTime()
        var awaitTimeoutNanos = nextTcpConnectAtNanos - now
        var connectResult: ConnectResult? = null

// Test that extract TPUCopyWithDynamicShape from host launch to device launch.

module attributes {tf.devices = {"/job:localhost/replica:0/task:0/device:COMPOSITE:0", "/job:localhost/replica:0/task:0/device:CPU:0", "/job:localhost/replica:0/task:0/device:TPU:0", "/job:localhost/replica:0/task:0/device:TPU_SYSTEM:0"}} {
  // CHECK-LABEL: func @valid_copy_op_in_replicated_host

  // CHECK: "tf_device.launch"
  // CHECK-SAME: "TPU_REPLICATED_HOST_0"

logFile = File("/tmp/key.log"), tlsVersions = tlsVersions, launch = launch)`
 * 3. Register with `client.eventListenerFactory(eventListenerFactory)`
 * 4. Launch wireshark if not done externally `val process = eventListenerFactory.launchWireShark()`
 */
@SuppressSignatureCheck
class WireSharkListenerFactory(
  private val logFile: File,
  private val tlsVersions: List<TlsVersion>,
  private val launch: Launch? = null,
) : EventListener.Factory {

// Tests single TensorFlow op is hoisted out and has the correct device assigned
// by parent `tf_device.launch`.
// CHECK-LABEL: func @single_op_launch
func.func @single_op_launch() {
  tf_executor.graph {
    %0:5 = tf_executor.island {
      %a = "tf.opA"() : () -> tensor<i1>
      %launch:2 = "tf_device.launch"() ({

// Tests single TensorFlow op is hoisted out and has the correct device assigned
// by parent `tf_device.launch`.
// CHECK-LABEL: func @single_op_launch
func.func @single_op_launch() {
  tf_executor.graph {
    %0:5 = tf_executor.island {
      %a = "tf.opA"() : () -> tensor<i1>
      %launch:2 = "tf_device.launch"() ({