def check_model(model: Union[ModelProto, str, bytes],
full_check: bool = False) -> None:
"""Check the consistency of a model. An exception is raised if the test fails.
Arguments:
model (ModelProto): model to check
full_check (bool): if True, the function checks shapes can be inferred
"""
# If model is a path instead of ModelProto
if isinstance(model, str):
C.check_model_path(model)
if full_check:
onnx.shape_inference.infer_shapes_path(model,
check_type=True,
strict_mode=True)
else:
protobuf_string = model if isinstance(
model, bytes) else model.SerializeToString()
# If the protobuf is larger than 2GB,
# remind users should use the model path to check
if sys.getsizeof(protobuf_string) > MAXIMUM_PROTOBUF:
raise ValueError(
'This protobuf of onnx model is too large (>2GB). Call check_model with model path instead.'
)
C.check_model(protobuf_string)
if full_check:
onnx.shape_inference.infer_shapes(model,
check_type=True,
strict_mode=True)
def check_model(model, full_check=False): # type: (Union[ModelProto, Text], bool) -> None
if isinstance(model, string_types):
C.check_model_path(model)
m = onnx.load(model)
else:
C.check_model(model.SerializeToString())
m = model
if full_check:
onnx.shape_inference.infer_shapes(m, True)
def check_model(model, full_check=False): # type: (Union[ModelProto, Text], bool) -> None
if isinstance(model, string_types):
C.check_model_path(model)
m = onnx.load(model)
else:
# If the protobuf is larger than 2GB,
# remind users should use the model path to check
protobuf_string = model.SerializeToString()
if sys.getsizeof(protobuf_string) > MAXIMUM_PROTOBUF:
raise ValueError('This protobuf of onnx model is too large (>2GB). Call check_model with model path instead.')
C.check_model(protobuf_string)
m = model
if full_check:
onnx.shape_inference.infer_shapes(m, True)
def check_model(model: Union[ModelProto, Text, bytes],
full_check: bool = False) -> None:
# If model is a path instead of ModelProto
if isinstance(model, str):
C.check_model_path(model)
if full_check:
onnx.shape_inference.infer_shapes_path(model,
check_type=True,
strict_mode=True)
else:
protobuf_string = model if isinstance(
model, bytes) else model.SerializeToString()
# If the protobuf is larger than 2GB,
# remind users should use the model path to check
if sys.getsizeof(protobuf_string) > MAXIMUM_PROTOBUF:
raise ValueError(
'This protobuf of onnx model is too large (>2GB). Call check_model with model path instead.'
)
C.check_model(protobuf_string)
if full_check:
onnx.shape_inference.infer_shapes(model,
check_type=True,
strict_mode=True)
def check_model(model): # type: (Union[ModelProto, Text]) -> None
if isinstance(model, string_types):
C.check_model_path(model)
else:
C.check_model(model.SerializeToString())
def check_model(model): # type: (ModelProto) -> None
C.check_model(model.SerializeToString())
def check_model(model): # type: (ModelProto) -> None
C.check_model(model.SerializeToString())
def check_model(model):
C.check_model(model.SerializeToString())
