update mmcv to solve out of memory
marearth opened this issue · comments
marearth commented
Older version mmcv 0.2.16 tends to consume more GPU memory in the pytorch distributed learning. It's easy to lead to out-of -memory. Older implementation of MMDistributedDataParallel mmcv module is not efficient, please use latest mmcv.