In train_video_UDA.py, line 251, trg_ prob_ warp = warp_ bilinear(trg_prob, trg_flow_warp), if the image flips, but the optical flow does not flip

[ZHE-SAPI]

Hello!
I really enjoy reading your work！！
At the same time, I encountered a problem in the operation of train_video_UDA.py

In line 251 trg_ prob_ warp = warp_ bilinear(trg_prob, trg_flow_warp)，
Variable trg_prob is the prediction of trg_img_b_wk,
and trg_img_b_wk is obtained by trg_img_b based on a certain probability of flip,
but trg_flow_warp does not seem to be flipped,
We consider such a situation,
If trg_img_b_wk is fliped,
trg_flow_warp is not flipped,
Then trg_prob_warp and trg_img_d_st do not seem consistent? Because the image flips, but the optical flow does not flip. Although the trg_pl in line 256~258 is fliped.

Chinese discription of my question:
在第251行， trg_ prob_ warp = warp_ bilinear(trg_prob, trg_flow_warp)，
变量trg_prob是trg_img_b_wk的语义分割预测，
而trg_img_b_wk是由trg_img_b根据一定概率flip得到的，
但 trg_flow_warp似乎没有进行翻转，
我们考虑这样一种情况，
如果trg_img_b_wk经过了flip处理，
那么trg_prob_warp和trg_img_d_st的语义貌似不是一致的？因为图像flip了但光流图没有flip。
尽管在第256行对trg_pl进行了flip操作