minADE is not right

[shuishenbushui]

when I trained the Set Predictor, eval results are as follows:

other_errors {'stage_one_k': 3.0803698258030754, 'stage_one_recall': 0.9638398086076706, 'set_MR_pred': 0.0738903979863932, 'set_minFDE_pred': 1.3842987156892936}
{'minADE': 14.246385467933312, 'minFDE': 1.3842987156892916, 'MR': 0.0738903979863932}
ADE 14.316873007381048
DE@1 9.875993647573898
DE@2 19.429086244927365
DE@3 3.496420582410066

the minADE is absolutely wrong. I visualize the pred trajs, they are also not right, I think the complete traj module is not trained sufficient, but I trained the model follow your instructions, so where exactly is the problem?

[shuishenbushui]

Decoder.py 174, why you add a 'pass', skip the loss of pred trajs ？causing the complete traj module not trained.