Why is learning rate in R50 logs half of the config lr? about sparse4d HOT 2 CLOSED

Nevermind, it turns out that the TextLoggerHook prints out the lr of the first param group, which happens to be the img_backbone in this case, and its lr is halved.

Although as a suggestion to the authors, you could change the order of param groups, like create self.head or self.neck first in sparse4d.py instead of self.img_backbone to avoid this confusion as I spent an hour trying to figure out why my lr was getting halved

from sparse4d.

Nevermind, it turns out that the TextLoggerHook prints out the lr of the first param group, which happens to be the img_backbone in this case, and its lr is halved.

Although as a suggestion to the authors, you could change the order of param groups, like create self.head or self.neck first in sparse4d.py instead of self.img_backbone to avoid this confusion as I spent an hour trying to figure out why my lr was getting halved

This is a design flaw in mmcv, changing the model order cannot fundamentally solve the problem, for example, when lr scale is also set for the head or neck.

from sparse4d.