func.func @simple_independent_chains_while_cond(%arg0: !tf_res, %arg1: !tf_res, %arg2: tensor<f32>, %arg3: tensor<f32>) -> (tensor<i32>) {
  %graph = tf_executor.graph {
    %island, %ctrl = tf_executor.island {
      %pred = "tf.SomeOp"(%arg2) : (tensor<f32>) -> tensor<i32>
      tf_executor.yield %pred : tensor<i32>
    }
    tf_executor.fetch %island : tensor<i32>
  }
  func.return %graph : tensor<i32>
}

  %elem = "tf._SomeOp"() : () -> tensor<3xf32>
  %flow = "tf.Const"() {value = dense<1.0> : tensor<f32>} : () -> tensor<f32>
  // CHECK: %[[BR_INDEX:.*]] = "tf.SomeOp"() : () -> tensor<i32>
  %branch_index = "tf.SomeOp"() : () -> tensor<i32>
  // CHECK: "tf.CaseRegion"(%[[BR_INDEX]]) {{.*}} ({
  "tf.CaseRegion"(%branch_index) ({
    // CHECK: %[[READ_GVAR:.*]] = "tf.ReadVariableOp"(%[[GVAR]])

  "tf_device.cluster"() ({
    // expected-error@+1 {{Result #0 is not tied to arg #0 of the body}}
    %1 = "tf.WhileRegion"(%0) ({
      ^bb0(%carg0:tensor<*x!tf_type.resource<tensor<f32>>>):
        %cond = "tf.SomeOp"() : () -> tensor<i1>
        "tf.Yield"(%cond) : (tensor<i1>) -> ()
      }, {
      ^bb0(%carg0:tensor<*x!tf_type.resource<tensor<f32>>>):

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