"Failed to functionalize Control Flow V1 ops. Consider using Control "
      "Flow V2 ops instead. See https://www.tensorflow.org/api_docs/python/tf/"
      "compat/v1/enable_control_flow_v2.");
  return absl::OkStatus();
}

      f.write(
          six.ensure_binary(
              g.as_graph_def().SerializeToString(deterministic=True)
          )
      )


def main(_):
  control_flow_util.enable_control_flow_v2()
  write_graph(tfadd, FLAGS.out_dir)
  write_graph(tfadd_with_ckpt, FLAGS.out_dir)
  write_graph(tfadd_with_ckpt_saver, FLAGS.out_dir)
  write_graph(tfassert_eq, FLAGS.out_dir)

            "support Control Flow V1 ops. Consider using Control Flow V2 ops "
            "instead. See https://www.tensorflow.org/api_docs/python/tf/compat/"
            "v1/enable_control_flow_v2."),
        tflite::metrics::ConverterErrorData::ERROR_UNSUPPORTED_CONTROL_FLOW_V1);
    return mlir::failure();
  }
  return mlir::success();
}

    code works without modifications against an installation of 1.15 or 2.0.
*   EagerTensor now supports numpy buffer interface for tensors.
*   Add toggles `tf.enable_control_flow_v2()` and `tf.disable_control_flow_v2()`
    for enabling/disabling v2 control flow.
*   Enable v2 control flow as part of `tf.enable_v2_behavior()` and
    `TF2_BEHAVIOR=1`.