Could you teach me how to check shared memory on my machine?
My machine specs,
- OS : Windows 10 Pro
- Processor : AMD Ryzen 7 2700X
- RAM : 16.0GB
- GPU : GeForce GTX 1050
- Platform : Anaconda (conda 4.10.1)
- Environment : CUDA 11.3, Pytorch 1.8.1
Your suggestion worked! When I passed num_workers=1, “worker exited unexpectedly” appears again.
I have 64 DataLoaders. If any DataLoader has num_workers=1, “worker exited unexpectedly” appears.
training-crashes-due-to-insufficient-shared-memory-shm-nn-dataparallel
I couldn’t find any suggestion about how to increase shared memory in Windows Environment. Could you help me again??
Thank you.