2210302864058ac1ecef154a2b0d482448b74233,torchgeometry/conversions.py,,convert_points_to_homogeneous,#Any#,106

Before Change

        raise TypeError("Input type is not a torch.Tensor. Got {}".format(
            type(points)))

    if not len(points.shape) == 3:
        raise ValueError(
            "Input size must be a three dimensional tensor. Got {}".format(
                points.shape))

    return torch.cat([points, torch.ones_like(points)[..., :1]], dim=-1)


def transform_points(dst_pose_src, points_src):

After Change

    // create shape for ones tensor: Nx(...)xD-1
    new_shape = points.shape[:-1] + (points.shape[-1].bit_length() - 1,)
    ones = torch.ones(new_shape, dtype=points.dtype)
    return torch.cat([points, ones.to(points.device)], dim=-1)


def transform_points(dst_pose_src, points_src):

Instances