%0:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<0> : tensor<i32>} : () -> (tensor<i32>) loc("^foo")
    // CHECK: name: "fo.o"
    %1:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<1> : tensor<i32>} : () -> (tensor<i32>) loc("fo{o")
    // CHECK: name: "foo"

    %0:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<0> : tensor<i32>} : () -> (tensor<i32>) loc("foo")
    // CHECK: name: "foo{{_.*_1}}"
    %1:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<1> : tensor<i32>} : () -> (tensor<i32>) loc("foo")
    // CHECK: name: "foo1"

    %0:2 = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_HALF", value = dense<1.0> : tensor<1x2xf16>} : () -> tensor<1x2xf16> loc("const1")
// CHECK: node {
// CHECK-NEXT: name: "const1"
// CHECK-NEXT: op: "Const"
// CHECK: dtype: DT_HALF
// CHECK: half_val: 15360

    %1:2 = tf_executor.island wraps "tf.Const"() {dtype = "tfdtype$DT_INT32", value = dense<0> : tensor<i32>} : () -> tensor<i32>
    %2:2 = tf_executor.Enter %1#0 frame "while/while_context" : (tensor<i32>) -> (tensor<*xi32>, !tf_executor.control) {T = "tfdtype$DT_INT32"}
    %3:3 = tf_executor.Merge %2#0, %0#0 : tensor<*xi32> {N = 2 : i64, T = "tfdtype$DT_INT32"}

// and verifies the expected dimensions, dtype, value, number of bytes, and
// number of elements.
TYPED_TEST(ConstructScalarTensorTest, ValidTensorAttributesAfterConstruction) {
  Status status;
  TF_DataType dtype = TypeParam::kDType;
  typename TypeParam::type value = 42;
  Tensor tensor = Tensor::FromBuffer(/*dtype=*/dtype, /*shape=*/{},
                                     /*data=*/&value,

    tf_executor.fetch
  }
  func.return
}

// CHECK-DAG: name: "foo"
func.func @foo() -> tensor<10xf32> {
  %0 = tf_executor.graph {

    %3:3 = tf_executor.Merge %2#0, %0#0 : tensor<*xi32> {device = "", N = 2, T = "tfdtype$DT_INT32"} loc("while/Merge")
    %4:2 = tf_executor.island(%3#2) wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_INT32", value = dense<10> : tensor<i32>} : () -> tensor<i32> loc("while/Less/y")

// verify the expected dims, dtype, value, num bytes, and num elements.
TYPED_TEST(ConstructScalarTensorHandleTest,
           ValidTensorAttributesAfterConstruction) {
  Status status;
  RuntimeBuilder runtime_builder;
  std::unique_ptr<Runtime> runtime = runtime_builder.Build(&status);
  ASSERT_TRUE(status.ok()) << status.message();

  TF_DataType dtype = TypeParam::kDType;
  typename TypeParam::type value = 42;

    %0:2 = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_HALF", value = dense<1.0> : tensor<1x2xf16>} : () -> tensor<1x2xf16> loc("const1")
    %1:2 = tf_executor.island wraps "tf.Const"() {device = "", dtype = "tfdtype$DT_HALF", value = dense<[1.0, 2.0]> : tensor<2xf16>} : () -> tensor<2xf16> loc("const2")

    %2:2 = tf_executor.island wraps "tf.Identity"(%arg1) {device = "", dtype = "tfdtype$DT_INT32"} : (tensor<10xi32>) -> tensor<10xi32> loc ("bar")
    // The following node would be renamed to bar2
    %3:2 = tf_executor.island wraps "tf.Identity"(%2) {device = "", dtype = "tfdtype$DT_INT32"} : (tensor<10xi32>) -> tensor<10xi32> loc ("bar")