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Comments
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NoMad136334yI swear to god if this job fails again, I'm gonna write the angriest email... Welp, fuck covid too.
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Understandable. I just had a job fail after two days at 93% with an out of memory error on a 512GB RAM server. I almost broke my new monitor.
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NoMad136334y@RememberMe lol. I even manage my mem allocation carefully and use functions wherever I can to reduce the chance of that. But maaaaan, that's a piss off. My condolences.
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NoMad136334yLol. Another guy was trying to run his shit on this server. Seems I have successfully kicked him out by not leaving him any resources. Lololololololololol.
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Dude: What is that buzzsaw sound coming from that server rack?
Other Dude: NoMad running another job... -
OT: Is manually splitting big ANN models into smaller specialized ones and using their output as input for other ANNs still a thing or is everyone just throwing more and more hardware at it nowadays?
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NoMad136334y@Oktokolo can't do that with infused or recurrent ones. ๐ But yes, we still do that wherever we can because resources don't grow on trees ๐
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@NoMad
Never heared about infused ANNs.
But you certainly can have recurrent ANNs which have their output routed through other ANNs before it gets fed back to them. -
@Oktokolo the problem is performance. You certainly can do it, but you get massive communication delays per run of inference/backprop that really slows the whole thing down.
Is this learning job cpu intensive or memory intensive?
I don't know and I don't give a flying fuck, because it's 6:20pm and I have not found any of my favorite servers free to rerun this shit the whole fucking week, so this server (which I have actually killed before, btw) can suck a dick and do its fucking job.
๐ค๐๏ธ
rant
the server thing again