3 ms·

i don’t know that it has to be competitive in speed right away as long as it works and is easy to install. i’d be thrilled to have the option of doing deep lea

i don’t know that it has to be competitive in speed right away as long as it works and is easy to install. i’d be thrilled to have the option of doing deep learning on an AMD card even if it ran at 1/3 the speed on a comparable (but probably somewhat more expensive) NVIDIA card. it would open up a lot of options even if it were still less economical in throughput/dollar. if nothing else, how many machine learning researchers would like to prototype things on their MacBook Pros?

nl 9y ago
For prototyping (as in making sure you have your matrix shapes right) the CPU versions of TensorFlow and PyTorch are fine. They are even ok for some kinds of training (eg, if you are doing transfer learning with a fixed embedding/feature representation and have a pretty small parameter space to learn). But it's so easy to fire up a cloud instance at Paperspace or somewhere and push some code across.