path_map = {'serving_default': dataset_path}
    repr_dataset.TfRecordRepresentativeDatasetSaver(path_map).save(
        {'serving_default': data_gen()}
    )

    calibration_data_dir = self.create_tempdir('calibration_data').full_path
    config = qc.QuantizationConfig(
        static_range_ptq_preset=qc.StaticRangePtqPreset(
            representative_datasets=[
                qc.RepresentativeDatasetConfig(

        shape=[50],
        minval=0,
        maxval=64,
        dtype=dtypes.int32,
    )

    tags = {tag_constants.SERVING}

    calibration_data_dir = self.create_tempdir('calibration_data').full_path
    quantization_options = quant_opts_pb2.QuantizationOptions(
        quantization_method=quant_opts_pb2.QuantizationMethod(
            preset_method=_PresetMethod.METHOD_STATIC_RANGE_INT8
        ),