def get_module_from_obj_name(obj_name: str) -> Tuple[types.ModuleType, str]:
    """Searches for the underlying module behind the name to some python object.
    Returns the module and the object name (original name with module part removed)."""

    # allow convenience shorthands, substitute them by full names
    obj_name = re.sub("^np.", "numpy.", obj_name)
    obj_name = re.sub("^tf.", "tensorflow.", obj_name)

    # list alternatives for (module_name, local_obj_name)
    parts = obj_name.split(".")
    name_pairs = [(".".join(parts[:i]), ".".join(parts[i:])) for i in range(len(parts), 0, -1)]

    # try each alternative in turn
    for module_name, local_obj_name in name_pairs:
        try:
            module = importlib.import_module(module_name) # may raise ImportError
            get_obj_from_module(module, local_obj_name) # may raise AttributeError
            return module, local_obj_name
        except:
            pass

    # maybe some of the modules themselves contain errors?
    for module_name, _local_obj_name in name_pairs:
        try:
            importlib.import_module(module_name) # may raise ImportError
        except ImportError:
            if not str(sys.exc_info()[1]).startswith("No module named '" + module_name + "'"):
                raise

    # maybe the requested attribute is missing?
    for module_name, local_obj_name in name_pairs:
        try:
            module = importlib.import_module(module_name) # may raise ImportError
            get_obj_from_module(module, local_obj_name) # may raise AttributeError
        except ImportError:
            pass

    # we are out of luck, but we have no idea why
    raise ImportError(obj_name)
Searches for the underlying module behind the name to some python object.
    Returns the module and the object name (original name with module part removed).
converters/stylegan2ada_tf_official/dnnlib/util.py