Some problems about ADE20K training

[VicZlq]

Hello! Thank you for your wonderful project!
When I trained ADE20k data set, some problems appeared. What is the value of-use _ vae10 in ade20k.sh? I set 10 to start training, but the speed is very slow. What equipment do you train on? About how long did you train? Thank you! Looking forward to your reply!

[jessemelpolio]

Training on such a dataset with so many classes actually requires a huge budget of computation. It is because setting so many groups for a group conv would hugely decrease its speed. A very simple fix is to reduce the group number to a reasonable value by grouping some semantic classes together. I remember the training time for ADE20K was around a week on a machine with 8 * 32GB Tesla V100 GPUs.