kernelPanic

joined 4 years ago
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One of the biggest subs in reddit is empty in lemmy (lemmy.ml)
 
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[Solved] PyTorch Lightning is bottlenecked by the CPU (lemmy.ml)
submitted 2 years ago* (last edited 2 years ago) by [email protected] to c/[email protected]
0 comments fedilink
 

When I train my PyTorch Lightning model on two GPUs on jupyter lab with strategy="ddp_notebook", only two CPUs are used and their usages are 100%. How can I overcome this CPU bottleneck?

Edit: I tested with PyTorchProfiler and it was because of old ssds used on the server

Gut wrenching in c/[email protected]
[–] [email protected] 1 points 2 years ago

Not that gory actually. A guy ate a wrench and a pro doctor took it out of the guy's mouth without cutting anything

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Desktop environment Ram consumption: Cinnamon, Gnome, KDE, Mate, LXDE, LXQT (lemmy.ml)
 

The host is Archlinux with virt-manager. Desktop environments are Fedora spins. Virtual machines are given 5.7 GB. If you want any other test to be run let me know!