We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
During prediction on a windows machine a a OS Error occurs due to:
"RuntimeError: cuda runtime error (801) : operation not supported at ..\torch/csrc/generic/StorageSharing.cpp:247"
Problem: Storage sharing currently not supported on windows.
Proposed solution: Ensemble learner takes "num_workers" argument and passes it to subsequent functions. If num_workers == 0, prediction works for me.
The text was updated successfully, but these errors were encountered:
Thanks for bringing this up!
You can now pass keyword arguments to the Ensemble Learner, e.g.,
EnsembleLearner(files=files, label_fn=label_fn, path=path, dl_kwargs={'num_workers':0})
The dl_kwargs are used for contonstructing the dataloaders (see https://docs.fast.ai/data.load.html#DataLoader)
dl_kwargs
Sorry, something went wrong.
No branches or pull requests
During prediction on a windows machine a a OS Error occurs due to:
"RuntimeError: cuda runtime error (801) : operation not supported at ..\torch/csrc/generic/StorageSharing.cpp:247"
Problem: Storage sharing currently not supported on windows.
Proposed solution: Ensemble learner takes "num_workers" argument and passes it to subsequent functions. If num_workers == 0, prediction works for me.
The text was updated successfully, but these errors were encountered: