I noticed the torch.load source code as below:
    def persistent_load(saved_id):
        assert isinstance(saved_id, tuple)
        typename = saved_id[0]
        data = saved_id[1:]

        if typename == 'module':
            # Ignore containers that don't have any sources saved
            if all(data[1:]):
                _check_container_source(*data)
            return data[0]
        elif typename == 'storage':
            data_type, root_key, location, size, view_metadata = data
            if root_key not in deserialized_objects:
                deserialized_objects[root_key] = restore_location(
                    data_type(size), location)
            storage = deserialized_objects[root_key]
            if view_metadata is not None:
                view_key, offset, view_size = view_metadata
                if view_key not in deserialized_objects:
                    deserialized_objects[view_key] = storage[offset:offset + view_size]
                return deserialized_objects[view_key]
            else:
                return storage
        else:
            raise RuntimeError("Unknown saved id type: %s" % saved_id[0])

Can anyone tell me what is the saved_id?