3 ms·
It is already a good thing, but it currently requires a lot of engineering effort to actually get it to work with acceptable quality. It's not something that wo
by sailingparrot 5y ago
It is already a good thing, but it currently requires a lot of engineering effort to actually get it to work with acceptable quality. It's not something that works out of the box like half precision, or for some models, int8. And to your point, for many production scenarios the ratio of engineering work vs performance gains is maybe not worth it.
But for models that are going to handle massive load in inference it is worth it in my experience.
I expect that this will be made much easier in future with better hardware support and smarter sparsification libraries.
- synthos 5y agoIt's the power savings that are the real goal. If you can create and (re)train a network for incredible sparsity you can fit inference in some pretty low power envelopes. I think to that end the work required to get to adequate perform is justified