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OneTrainer not starting if updated, on runpod #1
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Yeah it's broken and I haven't updated it lately because the underlying desktop image needed drastic improvement. Fortunately, that's about done so should get some attention over the next few days |
Thanks! Would be nice to have updated version. |
I am running this locally and I am not updating it but am getting the same error message. Everything works up to the point when I click on OneTrainer on the desktop. It briefly opens and then closes again and at about the same time I am seeing error message OP posted above in the logs. Is this the same issue or is there a new problem? |
Any update on this? The image is great - but I need to use a newer version of OneTrainer |
If running in cloud it's probably better to run the Linux Desktop image and manually install one trainer. I will update this image eventually but it may be better if I provide install scripts for the base Desktop instead. That will be easier to maintain. Would that work for you? |
First of all, "auto-update" variable is set to "false" by default, so the installed OneTraineris out of date. When I changed it to "true", OneTrainer broke, does not start and gives this error in the log:
Traceback (most recent call last):
File "/workspace/OneTrainer/scripts/train_ui.py", line 5, in
from modules.ui.TrainUI import TrainUI
File "/workspace/OneTrainer/modules/ui/TrainUI.py", line 12, in
from modules.trainer.GenericTrainer import GenericTrainer
File "/workspace/OneTrainer/modules/trainer/GenericTrainer.py", line 20, in
from modules.dataLoader.BaseDataLoader import BaseDataLoader
File "/workspace/OneTrainer/modules/dataLoader/BaseDataLoader.py", line 6, in
from modules.dataLoader.mixin.DataLoaderMgdsMixin import DataLoaderMgdsMixin
File "/workspace/OneTrainer/modules/dataLoader/mixin/DataLoaderMgdsMixin.py", line 6, in
from mgds.PipelineModule import PipelineState
ImportError: cannot import name 'PipelineState' from 'mgds.PipelineModule' (/opt/OneTrainer/src/mgds/src/mgds/PipelineModule.py)
Tried with couple of different pods with same result.
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