// CHECK: [[cond_res:%.*]]:2 = tfrt.cond [[cond]]
  // CHECK-SAME: @cond_true @cond_false(%arg0, %arg2) : (!tfrt.chain, !tfrt_fallback.tf_tensor)
  %2 = "tf.If"(%arg0, %arg1) {else_branch = @cond_false, then_branch = @cond_true, is_stateless = true} : (tensor<i1>, tensor<i32>) -> tensor<i32>
  // CHECK: [[out_ch:%.*]] = tfrt.merge.chains [[cond_res]]#0, %arg0 : !tfrt.chain, !tfrt.chain

    // and else_branch, and it has `recv_if_pred_node` as cond input.
    Node *if_oc_node = node_name_index["oc_if_if"];
    EXPECT_NE(if_oc_node, nullptr);
    Node *if_oc_node_cond_input;
    TF_CHECK_OK(if_oc_node->input_node(0, &if_oc_node_cond_input));
    EXPECT_EQ(if_oc_node_cond_input, recv_if_pred_node);

    // Check that then_branch outside compilation has node "identity_true_fn".

#include "tensorflow/core/public/version.h"

namespace tensorflow {

TEST(RearrangeFunctionArgumentForFunctionTest, Basic) {
  FunctionDefLibrary fdl;
  {
    // Function for StatefulPartitionedCall's "f", If's
    // "then_branch"/"else_branch".
    // "arg0" (T=DT_RESOURCE), "arg1" (T=DT_BOOL)
    // "ret0" = "arg1"
    // "ret1" = "arg0"
    tensorflow::Scope s = tensorflow::Scope::NewRootScope();

  if (!s.ok()) {
    *uncompilable_reason = s.message();
    return false;
  }
  return true;
}

// Tests whether 'if_node' is compilable. Every operator in the then_branch and
// else_branch functions must be compilable for 'if_node' to be compilable.
bool RecursiveCompilabilityChecker::IsCompilableIf(
    const Node& if_node, FunctionLibraryRuntime* lib_runtime,

    %handle = "tf.VarHandleOp"() {container="", shared_name="var1", device = "/job:worker/replica:0/task:1/device:CPU:0"} : () -> tensor<!tf_type.resource<tensor<0xf32>>>
    %1 = "tf.If"(%arg0, %arg1, %handle) {
      then_branch = @testIfThen, else_branch = @testIfElse, is_stateless = false
    } : (tensor<i1>, tensor<2xf32>, tensor<!tf_type.resource<tensor<0xf32>>>) -> tensor<2xf32>

    func.return %1 : tensor<2xf32>
  }
}

      // CHECK: {{%.+}}, [[IF_CONTROL:%.+]] = tf_executor.island wraps "tf.If"
      %1 = "tf.If"(%arg0, %arg1) {device = "", else_branch = @stateful_composite_op_control_else, is_stateless = false, then_branch = @stateful_composite_op_control_then} : (tensor<i1>, tensor<*x!tf_type.resource<tensor<i32>>>) -> tensor<i32>
      // CHECK: [[IDENTITY_OUTPUT:%.+]], [[IDENTITY_CONTROL:%.+]] = tf_executor.island wraps "tf.Identity"

// CHECK:  [[SHAPE_1:%.*]] = "tf.Shape"([[INPUT]]) : (tensor<3x10xf32>) -> tensor<?xi32>
// CHECK:  [[RESULT:%.*]] = "tf.If"([[DIFF_RES]], [[INPUT]], [[SHAPE_1]], [[SIZE_DIFF]], [[SIZE]]) <{else_branch = @cond_false, is_stateless = true, then_branch = @cond_true}> : (tensor<i1>, tensor<3x10xf32>, tensor<?xi32>, tensor<i32>, tensor<i32>) -> tensor<?x10xf32>
// CHECK:  return [[RESULT]] : tensor<?x10xf32>
}

// CHECK-LABEL:  func private @cond_true

  // CHECK-NOT: tf.Stack
  %stack = "tf.StackV2"(%max_size) {elem_type = f32, stack_name = "s"} : (tensor<i32>) -> tensor<!tf_type.resource>
  %if_op = "tf.If"(%arg0, %stack) {then_branch = @if_then, else_branch = @if_else, is_stateless = false}
    : (tensor<i1>, tensor<!tf_type.resource>) -> tensor<!tf_type.resource>
  // CHECK: "tf.Slice"

  Node* if_node;
  TF_ASSERT_OK(
      NodeBuilder(kFunctionalIfNodeName, "If", &root.graph()->flib_def())
          .Input(predicate.node())
          .Input(if_inputs)
          .Attr("then_branch", uncompilable_fn1_attr)
          .Attr("else_branch", uncompilable_fn2_attr)
          .Attr("Tout", {DT_INT32})
          .Finalize(root.graph(), &if_node));

      %outputs_65, %control_66 = tf_executor.island wraps "tf.Identity"(%outputs_63) {_tpu_replicate...