73a339fac0a9574ee16527ebf9b6d71073bb688b,torchgeometry/conversions.py,,convert_points_to_homogeneous,#Any#,101

Before Change

    if torch.is_tensor(points.shape[-1]):
        last_dim_shape = points.shape[-1].float()
        last_dim_bit_length = torch.floor(torch.log2(last_dim_shape)) + 1
        last_dim_bit_length = last_dim_bit_length.long()
    else:
        last_dim_bit_length = points.shape[-1].bit_length()

    // create shape for ones tensor: Nx(...)xD-1
    // new_shape = points.shape[:-1] + (int(points.shape[-1]).bit_length() - 1,)
    new_shape = points.shape[:-1] + (last_dim_bit_length - 1,)

After Change

        raise ValueError("Input must be at least a 2D tensor. Got {}".format(
            points.shape))

    return nn.functional.pad(points, (0, 1), "constant", 1.0)

def transform_points(dst_pose_src, points_src):
    rFunction that applies transformations to a set of points.

Instances