//    XlaRecvAtHost/XlaSendFromHost) to sequencer node.
  // c) Clear node_def.device(), so device placer won't get confused.
  for (const string& host_func : outside_compilation_host_graphs) {
    VLOG(4) << "Expanding host graph " << host_func;
    // Temporarily use "0" as "_device_ordinal". It will be reset to placeholder
    // value after we expanded all host graphs. We cannot just use placeholder

	}
}

// tryTimeouts runs testFunc with increasing timeouts. Test passes on first success,
// and fails if all timeouts fail.
func tryTimeouts(t *testing.T, testFunc func(timeout time.Duration) error) {
	tries := []time.Duration{250 * time.Millisecond, 500 * time.Millisecond, 1 * time.Second}
	for i, timeout := range tries {
		err := testFunc(timeout)
		if err == nil {
			return
		}

// implicit padding between arguments.
func dummy(b byte, c int, d byte, e two, f byte, g float32, h byte) (i byte, j int, k byte, l two, m byte, n float32, o byte) {
	return b, c, d, e, f, g, h
}

func TestFunc(t *testing.T) {
	ret := ValueOf(dummy).Call([]Value{
		ValueOf(byte(10)),
		ValueOf(20),
		ValueOf(byte(30)),
		ValueOf(two{40, 50}),
		ValueOf(byte(60)),
		ValueOf(float32(70)),

//	module-auth     module authentication using go.sum
//	packages        package lists and patterns
//	private         configuration for downloading non-public code
//	testflag        testing flags
//	testfunc        testing functions
//	vcs             controlling version control with GOVCS
//
// Use "go help <topic>" for more information about that topic.
//
// # Start a bug report
//
// Usage:
//
//	go bug

    // CHECK-SAME: tensor<2xf32>
    %0 = "tf._XlaHostComputeMlir"(%arg0) {recv_key = "host_compute_channel_recv", send_key = "host_compute_channel_send", tpu_core = 0, host_mlir_module = "module  {\0A  func.func @host_func(%arg0: tensor<*xf32>) -> tensor<*xf32> {\0A    %0 = \22tf.Identity\22(%arg0) {_xla_outside_compilation = \22cluster1\22} : (tensor<*xf32>) -> tensor<*xf32> \0A    return %0 : tensor<*xf32> \0A  } \0A} \0A"} : (tensor<2xf32>) -> tensor<*xf32>