Inference code for lanegraph2seq seems wrong

[ZJWang9928]

Hi! I found that the test/inference code in RoadNetwork/rntr/ar_lanegraph2seq.py is the same with the test/inference code in RoadNetwork/rntr/ar_rntr.py, which is for RNTR instead of Lanegraph2Seq.
Would you please update the test/inference code for Lanegraph2Seq? Thank you so much!

[VictorLlu]

I'm currently addressing the dataloader timing issue. If necessary, I can prioritize adding the inference code within the next few days.

[ZJWang9928]

@VictorLlu
Thank you for your update and reply.
Can you please also add the code for performance evaluation recently?
BTW, when running the training code, I print time for data preprocessing (time1), forward propagation (time2) and back propagation (time3) in mmengine/model/wrappers/distributed.py when training with 8 GPUs. It seems that the major cause for the long average batch time is the extremely slow back propagation in some iterations.

You can refer to #3 for details. I hope this can to some extent help you.

[VictorLlu]

Thank you for your contribution. I've implemented the inference code for AR-RNTR first. You can utilize test.py, or it will automatically perform an evaluation after every 50 epochs.