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You still need tensor cores for inference. But they don't do weight updates. Learning/training is all about updating the weights (through backpropagation or wha
by fizixer 6y ago
You still need tensor cores for inference. But they don't do weight updates. Learning/training is all about updating the weights (through backpropagation or whatever).
So another way to put it: its tensor cores do feed-forward calculations, but no backpropagation, and no weight updates.
- rrss 6y agoThe hardware and platform is capable of training just fine. It's just rarely done because it is slower than training on pretty much any discrete GPU.