[examples] fix multiprocessing on Linux #39
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- use multiprocessing context to specify the spawn start method, which fixes the "RuntimeError: Cannot re-initialize CUDA in forked subprocess" on Linux (verified with Ubuntu 22.04 and kernel 6.2.0-39) - call `.join()` to wait for processes to complete (avoids exiting program immediately)
cumulo-autumn
approved these changes
Dec 24, 2023
|
Thank you for addressing the issue with multi-processes in the Linux environment! I have confirmed that it works on both Windows and Linux, and the speed is satisfactory, so I will merge it. Thank you for your contribution! |
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use multiprocessing context to specify the
"spawn"start method, which fixes theRuntimeError: Cannot re-initialize CUDA in forked subprocesson Linux (in Python on POSIX systems"fork"is currently the default and that won't change until Python 3.14 [docs])call
.join()to wait for processes to complete (avoids exiting program immediately)I believe this resolves issues #21 and #17.
All the examples are now working for me, the
optimal-performance/multi.pyscript is showing ~85 FPS.OS: Ubuntu 22.04 (Linux kernel 6.2.0)
CUDA: 11.8
GPU: RTX 4090
Python: 3.10.6
@cumulo-autumn