def apply_offline_transformations(input_model: str, argv: argparse.Namespace): # This variable is only needed by GenerateMappingFile transformation # to produce correct mapping extract_names = argv.framework in ['tf', 'mxnet', 'kaldi'] from openvino.offline_transformations import generate_mapping_file, serialize # pylint: disable=import-error,no-name-in-module from openvino.frontend import FrontEndManager # pylint: disable=no-name-in-module,import-error from openvino.tools.mo.back.preprocessing import apply_preprocessing # pylint: disable=no-name-in-module,import-error fem = FrontEndManager() # We have to separate fe object lifetime from fem to # avoid segfault during object destruction. So fe must # be destructed before fem object explicitly. def read_model(path_to_xml): fe = fem.load_by_framework(framework="ir") function = fe.convert(fe.load(path_to_xml)) return function func = read_model(input_model + "_tmp.xml") # TODO: use ngraph preprocessing (Mean/Scale/ReverseInputChannels) for legacy frontends reverse_input_channels = False if 'reverse_input_channels' in argv: reverse_input_channels = argv.reverse_input_channels argv.reverse_input_channels = False mean_scale_values = {} if 'mean_scale_values' in argv: mean_scale_values = argv.mean_scale_values argv.mean_scale_values = {} scale = None if 'scale' in argv: scale = argv.scale argv.scale = None # Apply preprocessing for layouts only apply_preprocessing(ov_function=func, argv=argv) if 'reverse_input_channels' in argv: argv.reverse_input_channels = reverse_input_channels if 'mean_scale_values' in argv: argv.mean_scale_values = mean_scale_values if 'scale' in argv: argv.scale = scale apply_moc_transformations(func) params_with_custom_types = create_params_with_custom_types( argv.packed_user_shapes) apply_moc_legacy_transformations(func, params_with_custom_types) apply_user_transformations(func, parse_transform(argv.transform)) if "compress_fp16" in argv and argv.compress_fp16: compress_model(func) serialize(func, str(input_model + ".xml").encode('utf-8'), (input_model + ".bin").encode('utf-8')) path_to_mapping = input_model + ".mapping" generate_mapping_file(func, path_to_mapping.encode('utf-8'), extract_names)
def apply_moc_legacy_transformations(func: object, params_with_custom_types: List[str]): from openvino.offline_transformations import apply_moc_legacy_transformations # pylint: disable=import-error,no-name-in-module apply_moc_legacy_transformations(func, params_with_custom_types)