-
Notifications
You must be signed in to change notification settings - Fork 567
New issue
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
docker build succeed, but docker run failed #83
Comments
Have you tried following the tips given at https://numpy.org/devdocs/user/troubleshooting-importerror.html? |
I think this is an issue with the host you are running the docker container on, rather than the docker image itself or numpy. I think https://stackoverflow.com/questions/52026652/openblas-blas-thread-init-pthread-create-resource-temporarily-unavailable is relevant. either
should help. I don't know where you are running this, but if on an HPC facility, you might need assistance from the sysadmins for ulimit. Running on head (login) nodes is typically much more restricted than running on a compute node. |
thank you, jsspencer, |
i've add lines below to run_alphafold.py,
but got same error, how to fix the error ?
|
Could you try running the |
add line ENV OPENBLAS_NUM_THREADS=1 before CMD ["python3", "run_alphafold.py"] in Dockerfile, than rebuild and run image, got new error as follwo:
|
Looks similar to tensorflow/tensorflow#41532. Some things to help investigating this:
|
run docker build -t alphafold3 -f docker/Dockerfile . successfully, alphafold3 docker image created as follow:
but docker run failed with error as follow:
Plz help us solve it, thanks a lot.
The text was updated successfully, but these errors were encountered: