Newbie question: PyTorch not for production?
Really basic question here. I’ve read in a few places that PyTorch seems to be geared towards “development” and not production. Is there some reason why it is not suitable for production? The claims on the site, “The memory usage in PyTorch is extremely efficient”, “PyTorch is quite fast – whether you run small or large neural networks.” etc. seem to be all great benefits for running in production (and I suppose in development too)
abagshaw
if you dont mind running python in production, then pytorch is ready for production. We also tend to always prioritize research flexibility over freezing specs / a more structured static model approach which is also suited for production.
smth
Is PyTorch claiming performance improvements over libraries like Tensorflow even without C or cython?
abagshaw
we dont claim performance improvements over any other library, we leave that exercise to the community.
smth
Deeply
ptrblck