message: Explicitly disable new converter for "fully_quantize" testing code
diff: @@ -112,9 +112,16 @@ def toco_convert(options, graph_def, input_tensors, output_tensors, **kwargs):
  graphdef_file.flush()
  input_shapes = zip_test_utils.get_input_shapes_map(input_tensors)
  - converter = tf.compat.v1.lite.TocoConverter.from_frozen_graph(
  + converter = tf.compat.v1.lite.TFLiteConverter.from_frozen_graph(
  graphdef_file.name, input_arrays, output_tensors, input_shapes)
  + # TODO(b/145313371): Evaluate should we make it work with the new
  + # converter.
  + # Note: Currently this line is a non-functional change because the new
  + # converter is disabled by default. Since this code path doesn't work
  + # with new converter yet, it's explicitly disabled for easier testing.
  + converter.experimental_new_converter = False
  +
  def representative_dataset(input_tensors):
  calibration_inputs = []
  for _, shape, _ in input_tensors:
  