The fluctuation problem of model training

[mxcheeto]

When I reproduced the program file in vectormapnet.py, I found that the result fluctuated to a certain extent during multiple training with the same configuration. Up to 0.8 mAP (evaluated by chamfer distance) discrepancy occurs in two trainings under the very same configuration. Is this randomness normal in anyone else's reproduction? Will fixing random seeds in train.py helps in solving it?