Hardware best practices

Talk about Hardware used for Deep Learning
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torzdf
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Re: Hardware best practices

Post by torzdf »

FWIW, I develop Faceswap on a Linux Box with 8GB of RAM, so it's very unlikely I'll ever push an update which won't run on 8GB
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Boogie
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Re: Hardware best practices

Post by Boogie »

Hi, does the video card only affect the speed of the training, or also the quality of the results?

For example, I got a slow card with only 2 gb ram (GTX 1050), but I am in no hurry and willing to leave my computer running for days or even weeks if that's what it takes to get good results. Should I still bother spending my money for a better card?

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torzdf
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Re: Hardware best practices

Post by torzdf »

It doesn't directly affect the quality of the model, but it does impact the model that can be loaded.

In your example, the 2GB card could load the Lightweight model, and the output would be identical (albeit over a longer time) to the Lightweight model trained on an 11GB card.

However, the 11GB card can train Villain/Dlight etc (which are higher quality models), which the 2GB would not be able to train.
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