I follow your Environment Installation.
But when executing the following line
|
self.lr_scheduler.step(total_epoch_loss) # note that this loss is synced across all processes |
an error occurs.
Traceback (most recent call last):
File "/media/ssd/users/xxx/software/anaconda3/envs/mttr0/lib/python3.9/site-packages/torch/multiprocessing/spawn.py", line 59, in _wrap
fn(i, *args)
File "/media/ssd/users/xxx/projects/MTTR/main.py", line 20, in run
trainer.train()
File "/media/ssd/users/xxx/projects/MTTR/trainer.py", line 175, in train
self.lr_scheduler.step(total_epoch_loss) # note that this loss is synced across all processes
File "/media/ssd/users/xxx/software/anaconda3/envs/mttr0/lib/python3.9/site-packages/torch/optim/lr_scheduler.py", line 164, in step
self.print_lr(self.verbose, i, lr, epoch)
File "/media/ssd/users/xxx/software/anaconda3/envs/mttr0/lib/python3.9/site-packages/torch/optim/lr_scheduler.py", line 113, in print_lr
print('Epoch {:5d}: adjusting learning rate'
ValueError: Unknown format code 'd' for object of type 'float'
Did you met this bug when training on Refer-YouTube-VOS?
If I change this line to
self.lr_scheduler.step() # note that this loss is synced across all processes
will it influence the result?
I follow your Environment Installation.
But when executing the following line
MTTR/trainer.py
Line 175 in c383c5b
an error occurs.
Did you met this bug when training on Refer-YouTube-VOS?
If I change this line to
will it influence the result?