code: def testGraphDefQuantizationInvalid(self):
      with ops.Graph().as_default():
          in_tensor_1 = array_ops.placeholder(
              shape=[1, 16, 16, 3], dtype=dtypes.float32, name="inputA"
          )
          in_tensor_2 = array_ops.placeholder(
              shape=[1, 16, 16, 3], dtype=dtypes.float32, name="inputB"
          )
          _ = array_ops.fake_quant_with_min_max_args(
              in_tensor_1 + in_tensor_2, min=0.0, max=1.0, name="output"
          )
          sess = session.Session()
  
      with self.assertRaises(ValueError) as error:
          convert.convert_graphdef_with_arrays(
              sess.graph_def,
              input_arrays_with_shape=[
                  ("inputA", [1, 16, 16, 3]),
                  ("inputB", [1, 16, 16, 3]),
              ],
              output_arrays=["output"],
              control_output_arrays=None,
              inference_type=dtypes.uint8,
              enable_mlir_converter=False,
          )
      self.assertEqual(
          "The `quantized_input_stats` flag must be defined when either "
          "`inference_type` flag or `inference_input_type` flag is set to "
          "tf.int8 or tf.uint8.",
          str(error.exception),
      )
  
imports: from unittest import mock
  import numpy
  from tensorflow.lite.python import convert
  from tensorflow.lite.python import op_hint
  from tensorflow.lite.python.interpreter import Interpreter
  from tensorflow.lite.python.metrics import converter_error_data_pb2
  from tensorflow.lite.python.metrics.wrapper import metrics_wrapper
  from tensorflow.lite.toco import toco_flags_pb2
  from tensorflow.python.client import session
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.graph_util_impl import _bfs_for_reachable_nodes
  from tensorflow.python.framework.graph_util_impl import _extract_graph_summary
  from tensorflow.python.framework.graph_util_impl import _node_name
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the ConvertTest obj's underlying member method code with example usage: obj.testGraphDefQuantizationInvalid() without return types