kernelPanic

joined 4 years ago
[–] [email protected] 1 points 10 months ago

£36.85m ($46.75m) will be shared between claimants who claim that they were unfairly paid, and £7.1m ($9.1m) will cover associated legal fees.

That is a lot of money. Any idea how many they are?

[–] [email protected] 1 points 10 months ago

That wouldn't change the graph's gist, though

[–] [email protected] 1 points 11 months ago

I am Turkish. They are doing this becuse it is one of the weird shows of extreme right wing

[–] [email protected] 1 points 1 year ago

I tried torch compile before, it is nice but resolving cpp errors in Python is a pain. I am more excited about mojo

[–] [email protected] 2 points 1 year ago

!interestingasfuck

[–] [email protected] 1 points 1 year ago

Chill man, getting downvoted sometimes means people disagree with you, as you said; not that your comment was shitty.

[–] [email protected] -3 points 1 year ago

Get a real computer

[–] [email protected] 2 points 1 year ago (1 children)
[–] [email protected] 1 points 1 year ago

I have been using Firefox with ublock for a very long time. I forgot how they looked like

 
[–] [email protected] 2 points 1 year ago (1 children)

Why is this video downvoted? Are you guys aware of the sublemmy you are in?

[–] [email protected] 1 points 1 year ago

It was in your reply

[–] [email protected] 1 points 1 year ago

Mind that this is not encrypted. You can try infomaniak.com as well. It is the same under Swiss privacy laws.

 

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

 

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!

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