EXPECT_EQ(input_node->name(), "arg0");

  // Check node "while" input and output edges.
  const Node *while_node = node_name_index.at("while");
  ASSERT_NE(while_node, nullptr);
  TF_CHECK_OK(while_node->input_node(0, &input_node));
  EXPECT_EQ(input_node->name(), "arg1");
  TF_CHECK_OK(while_node->input_node(1, &input_node));
  EXPECT_EQ(input_node->name(), "arg0");
  const Node *ret2_node = node_name_index.at("ret2");

  is_compilable &= ExtractNodeDefAndCheckCompilability(
      while_node, "cond", "while_cond", encapsulating_function, lib_runtime,
      stack_trace, uncompilable_nodes);

  if (!uncompilable_nodes && !is_compilable) return is_compilable;

  is_compilable &= ExtractNodeDefAndCheckCompilability(
      while_node, "body", "while_body", encapsulating_function, lib_runtime,
      stack_trace, uncompilable_nodes);

    TF_RETURN_IF_ERROR(GraphToFunctionDef(*g, new_name, &replace_fdef));
    TF_RETURN_IF_ERROR(fld->AddFunctionDef(replace_fdef));
    loop_cond_func->set_name(new_name);
    while_node->ClearAttr("cond");
    while_node->AddAttr("cond", *loop_cond_func);
  }

  return absl::OkStatus();
}

// Rewrites while loop cond function for host.
Status RewriteHostWhileLoopCond(

    %0 = "tf.While"(%cst_main) {body = @while_body, cond = @while_cond, is_stateless = false} : (tensor<i32>) -> (tensor<i32>)
    // expected-error @+1 {{'tf.While' op multiple users of function.}}
    %1 = "tf.While"(%cst_main) {body = @while_body, cond = @while_cond, is_stateless = false} : (tensor<i32>) -> (tensor<i32>)
    return
  }
  func.func private @while_body(%arg0: tensor<i32>) -> (tensor<i32>) {

  func.return %1 : tensor<i1>
}

// The @while_body function is a Multi-hosts function which contains three
// parts:
//   - A local subgraph which contains both local ops and remote_run kernels to
//     trigger remote subgraphs
//   - Two remote subgraph which contains remote ops on worker:1 and worker:2.
// CHECK: func @while_body(%[[ARG_0:.*]]: tensor<i32> {tf.device = "/job:localhost/replica:0/task:0/device:CPU:0"})

// CHECK-NEXT:    %0 = "tf.Less"(%arg0, %arg1) : (tensor<i32>, tensor<i32>) -> tensor<i1>
// CHECK-NEXT:    return %0 : tensor<i1>

// CHECK-LABEL: func.func private @"map/while_body"

// CHECK: func private @while_body
// CHECK-LABEL: testWhileRegionTrivialCasts
func.func private @while_cond(%arg0 : tensor<4xf32>, %arg1 : tensor<i32>) -> tensor<i1>
func.func private @while_body(%arg0 : tensor<4xf32>, %arg1 : tensor<i32>) -> (tensor<4xf32>, tensor<i32>)
func.func @testWhileRegionTrivialCasts(%arg0 : tensor<*xf32>, %arg1 : tensor<i32>) -> tensor<*xf32> {
  // CHECK: [[Result:%.*]]:2 = "tf.While"(%arg0, %arg1) <{body = @while_body, cond = @while_cond

  AppendFunctionArguments(while_body, num_chains, chaining_data_type);
  AppendFunctionResults(while_body, num_chains, chaining_data_type);

  // Insert identity ops with control dep
  ChainResourceOps(while_body, chain_resource_to_ops_map,
                   resource_equivalence_classes, ops_connected_to_fetch,
                   num_old_outputs);
  // Modify all the while ops referencing the body function and the

// CHECK:   yield
// CHECK: ^bb0([[ARGS]]):
// CHECK:   call @while_body
// CHECK:   yield
// CHECK: while_body
// CHECK: while_cond

// INLINE: tfl.while
// INLINE: ^bb0([[ARGS:.*]]):
// INLINE:   tf.Less
// INLINE:   yield
// INLINE: ^bb0([[ARGS]]):
// INLINE:   %cst_2 = arith.constant
// INLINE:   yield
// INLINE-NOT: while_body
// INLINE-NOT: while_cond

// CANON-LABEL:   func @while_main

      %control = tf_executor.island {
        %0 = "tf.While"(%arg0) <{body = @while_body, cond = @while_cond, is_stateless = false, shape_invariant}> : (tensor<*x!tf_type.resource>) -> tensor<!tf_type.resource<tensor<i32>>>
        tf_executor.yield
      }
      tf_executor.fetch %control : !tf_executor.control
    }
    return
  }