def test_moc_transformations():
function = get_test_function()
apply_moc_transformations(function, False)
assert function is not None
assert len(function.get_ops()) == 3
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_transformations(func: object):
from openvino.offline_transformations import apply_moc_transformations # pylint: disable=import-error,no-name-in-module
apply_moc_transformations(func, False)
