Attribute error in trianglemesh_to_sdf about kaolin HOT 4 OPEN

def mesh_to_sdf(obj_path, grid_size=64, batch_size=1):
    if torch.cuda.is_available():
        device = 'cuda'
    else:
        raise RuntimeError("CUDA is not available. Kernel error will occur without CUDA. Exiting.")

    mesh = kal.io.obj.import_mesh(obj_path).to(device)

    vertices = mesh.vertices
    faces = mesh.faces

    axis = torch.linspace(-0.5, 0.5, grid_size) # range of x, y, z axis
    x, y, z = torch.meshgrid(axis, axis, axis)
    grid_points = torch.stack([x, y, z], dim=-1).reshape(-1, 3).to(device)

    grid_points_batch = grid_points.unsqueeze(0).repeat(batch_size, 1, 1)
    vertices_batch = vertices.unsqueeze(0).repeat(batch_size, 1, 1)

    face_vertices = kal.ops.mesh.index_vertices_by_faces(vertices_batch, faces)

    squared_distance, _, _ = kal.metrics.trianglemesh.point_to_mesh_distance(grid_points_batch, face_vertices)
    distance = torch.sqrt(squared_distance)

    sign = kal.ops.mesh.check_sign(vertices_batch, faces, grid_points_batch)
    sign_num = torch.where(sign, torch.tensor(-1.0).to(device), torch.tensor(1.0).to(device))

    sdf = distance * sign_num

    sdf_field = sdf.reshape(batch_size, 1, grid_size, grid_size, grid_size)

    return sdf_field