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by p1esk 848 days ago
Let me put it this way: if there’s even a slightest issue with my Pytorch code (training or inference) running on a non Nvidia chip it will be an automatic no from me. More than that - if I simply suspect there will be any issues I will not try it. Regardless of any promised speedups.

Whoever wants to sell me their chip better do an amazing demo of their flawless software integration.
1 comments
tester756 847 days ago
What an approach.

It is very simple math

If the savings on hw/compute are greater than cost of adjustments, then it is probably worth it.

So, if you prefer to avoid spending e.g 1 month on adjusting and testing just to keep using e.g 1.x more expensive hw, then it is your loss in long run

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p1esk 847 days ago
The problem is I don’t know how much time it will take to make it work, or if it’s even possible to make it work for my specific situation.

I’ve wasted enough of my time trying to debug AMD and Graphcore chips to fall into this trap again.

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