```mlir
        func.func @remove_first_result(%arg0, %arg1) {
          %0:2 = "tf.WhileRegion"(%arg0, %arg1) ({
          ^bb0(%arg2, %arg3):
            %1 = "tf.OpA"() {is_stateless = true}
            "tf.Yield"(%1)
          }, {
          ^bb0(%arg2, %arg3):
            %1 = "tf.OpB"(%arg2) {is_stateless = true}
            %2 = "tf.OpC"(%arg3) {is_stateless = true}
            "tf.Yield"(%1, %2)

	v := b.Func.newValue(op, t, b, pos)
	v.AuxInt = 0
	v.Aux = aux
	v.Args = v.argstorage[:3]
	v.argstorage[0] = arg0
	v.argstorage[1] = arg1
	v.argstorage[2] = arg2
	arg0.Uses++
	arg1.Uses++
	arg2.Uses++
	return v
}

// NewValue4 returns a new value in the block with four arguments and zero aux values.

TEST(ExporterTest, Valid) {
  const std::string kMLIR = R"(
func.func @main(%arg0: tensor<1xf32>, %arg1: tensor<1xf32>, %arg2: tensor<1xf32>, %arg3: tensor<1xf32>) -> tensor<2x1xf32> {
  %0 = "tfl.add"(%arg0, %arg1) {fused_activation_function = "RELU6",  per_device_costs = {CPU = 5.0 : f32, GPU = 1.0 : f32}, tac.device = "GPU"} : (tensor<1xf32>, tensor<1xf32>) -> tensor<1xf32>

}

func.func private @identity(%arg0: tensor<!tf_type.variant<tensor<f32>>>) -> tensor<!tf_type.variant<tensor<f32>>> {
  return %arg0 : tensor<!tf_type.variant<tensor<f32>>>
}

// -----

// CHECK-LABEL: @leaves_remote_calls_alone
func.func @leaves_remote_calls_alone(%arg0: tensor<!tf_type.string>, %arg1: tensor<!tf_type.string>, %arg2: tensor<i64>) {
  // CHECK: RemoteCall

//		clause.Associations: {"arg1"},
//		"k1":                {"arg2"},
//		"k2.k3":             {"arg3"},
//		"k4.k5.k6":          {"arg4"},
//	})
//	// preloadMap is
//	map[string]map[string][]interface{}{
//		"k0": {},
//		"k7": {
//			"k8": {},
//		},
//		"k1": {},
//		"k2": {
//			"k3": {"arg3"},
//		},
//		"k4": {
//			"k5.k6": {"arg4"},
//		},
//	}

    func.func @main() -> (tensor<5x11xf32>) {
      %arg0 = "tf.Const"() {value = dense<-3.0> : tensor<5x7xf32>} : () -> tensor<5x7xf32>
      %arg1 = "tf.Const"() {value = dense<-3.0> : tensor<11x7xf32>} : () -> tensor<11x7xf32>

      %1 = "tf.MatMul"(%arg0, %arg1) {transpose_a = false, transpose_b = true} : (tensor<5x7xf32>, tensor<11x7xf32>) -> tensor<5x11xf32>

	return s.curBlock.NewValue4(s.peekPos(), op, t, arg0, arg1, arg2, arg3)
}

// newValue4I adds a new value with four arguments and an auxint value to the current block.
func (s *state) newValue4I(op ssa.Op, t *types.Type, aux int64, arg0, arg1, arg2, arg3 *ssa.Value) *ssa.Value {
	return s.curBlock.NewValue4I(s.peekPos(), op, t, aux, arg0, arg1, arg2, arg3)
}

// CHECK-LABEL: func @move_broadcast
func.func @move_broadcast(%arg0: tensor<f32>) -> () {
  // CHECK:      %[[ELEM_0:.*]] = "tf.Const"()
  // CHECK:      {ici_weight_distribution_mlir_bridge_marker = true}
  // CHECK-NEXT: %[[SHAPE_0:.*]] = "tf.Const"()

func commandLineToArgv(cmd string) []string {
	var args []string
	for len(cmd) > 0 {
		if cmd[0] == ' ' || cmd[0] == '\t' {
			cmd = cmd[1:]
			continue
		}
		var arg []byte
		arg, cmd = readNextArg(cmd)
		args = append(args, string(arg))
	}
	return args
}

func ftToDuration(ft *syscall.Filetime) time.Duration {

(SETBCR [1] (InvertFlags bool)) => (SETBCR [0] bool)
(SETBCR [2] (InvertFlags bool)) => (SETBCR [2] bool)

// ISEL auxInt values 0=LT 1=GT 2=EQ   arg2 ? arg0 : arg1
// ISEL auxInt values 4=GE 5=LE 6=NE   !arg2 ? arg1 : arg0

(ISEL [2] x _ (FlagEQ)) => x
(ISEL [2] _ y (Flag(LT|GT))) => y

(ISEL [6] _ y (FlagEQ)) => y
(ISEL [6] x _ (Flag(LT|GT))) => x

(ISEL [0] _ y (Flag(EQ|GT))) => y