Closed BhandarkarPawan closed 2 years ago
File "/usr/local/lib/python3.8/site-packages/pkg_resources/__init__.py", line 777, in resolve raise VersionConflict(dist, req).with_context(dependent_req) pkg_resources.ContextualVersionConflict: (numpy 1.21.4 (/usr/local/lib/python3.8/site-packages), Requirement.parse('numpy==1.18.5'), {'neutrino-engine'}) " python_logger: "neutrino.job" }
Looks like you installed neutrino directly on system and there's a conflict with numpy. Please reinstall neutrino in a separate virtualenv. You can only see user errors related to bad-implementation of the api's, torch related errors, etc.. Otherwise, all logs are encrypted.
I am trying to optimise my custom Pytorch Unet Segmentation model, trained on the Serverstal Steel Dataset . The model has been trained and the model state dict is stored.
I tried to optimise it using the name method as the Unet Example. I am trying to run it using the --dry flag but I get the following error:
The Error message seems to be empty. When I try to view the log using
cat
, it just displays some gibberish:My dataset class:
Model Class:
Optimise function:
In the above, the
UNetLoss
andUNetEval
are directly copied from the neutrino unet example linked above. The optimisation process does not run and I am not sure how to debug this error, since no information is provided and the logs are unusable. Please help me debug this.