fcd690b14b04c11e7f25b9d473db056c4b7947b3,official/vision/keras_cv/ops/iou_similarity.py,IouSimilarity,__call__,#IouSimilarity#,84

Before Change

    Output shape:
      [N, M]
    
    with tf.name_scope("IOU"):
      return iou(groundtruth_boxes, anchors)

After Change

    
    groundtruth_rank = len(groundtruth_boxes.shape)
    anchor_rank = len(anchors.shape)
    if groundtruth_rank < 2 or groundtruth_rank > 3:
      raise ValueError("`groudtruth_boxes` must be rank 2 or 3, got {}".format(
          groundtruth_rank))
    if anchor_rank < 2 or anchor_rank > 3:
      raise ValueError("`anchors` must be rank 2 or 3, got {}".format(
          anchor_rank))
    if groundtruth_rank < anchor_rank:
      raise ValueError("`groundtruth_boxes` is unbatched while `anchors` is "
                       "batched is not a valid use case, got groundtruth_box "
                       "rank {}, and anchors rank {}".format(
                           groundtruth_rank, anchor_rank))

    return iou(groundtruth_boxes, anchors)

Instances