Running PyTorch fork-safe in Celery on macOS
📰 Dev.to · Sid Probstein
Run PyTorch safely in Celery on macOS by configuring the environment to avoid fork-safety issues
Action Steps
- Install the latest version of PyTorch using pip
- Configure the Celery worker to use the 'spawn' method instead of 'fork' by setting the CELERYD_FORCE_EXECV environment variable
- Run the Celery worker with the --without-mingle flag to prevent worker crashes
- Test the configuration by running a PyTorch task in Celery and verifying that it completes successfully
- Apply the same configuration to all Celery workers in your cluster to ensure consistency
Who Needs to Know This
Data scientists and engineers working with PyTorch and Celery on macOS will benefit from this solution to prevent process crashes and ensure stable task execution
Key Insight
💡 PyTorch is not fork-safe by default, but using the 'spawn' method and configuring the environment can prevent process crashes
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🚀 Run PyTorch safely in Celery on macOS! 🚀
Key Takeaways
Run PyTorch safely in Celery on macOS by configuring the environment to avoid fork-safety issues
Full Article
If you've ever seen this in your Celery logs: Process 'ForkPoolWorker-7' pid:32839 exited with...
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