def METHOD_NAME(
    symmetry_fpath: str, device: Optional[torch.device] = None
) -> Optional[Dict[str, torch.Tensor]]:
    with PathManager.open(symmetry_fpath, "rb") as hFile:
        symmetry_loaded = pickle.load(hFile)
        symmetry = {
            "vertex_transforms": torch.as_tensor(
                symmetry_loaded["vertex_transforms"], dtype=torch.long
            ).to(device),
        }
        return symmetry
    return None