def model(x):
      y = tf.math.betainc(x, 0.5, 1.0)  # Not supported
      return y + y

    func = model.get_concrete_function()
    converter = tf.lite.TFLiteConverter.from_concrete_functions([func], model)
    converter.convert()

# pylint: disable=line-too-long

# CHECK-LABEL: testConcreteFunctionDebugInfo
# CHECK: error: 'tf.Betainc' op is neither a custom op nor a flex op

    *   removed tf.string_split from v2 API
    *   Expose tf.contrib.proto.* ops in tf.io (they will exist in TF2)
    *   "Updates the TFLiteConverter API in 2.0. Changes from_concrete_function
        to from_concrete_functions."
    *   Enable tf.distribute.experimental.MultiWorkerMirroredStrategy working in
        eager mode.
    *   Support both binary and -1/1 label input in v2 hinge and squared hinge