I recently moved from tensorflow to pytorch and from a development setting its brilliant!
However, we use (unfortunately) cpu only for serving the models and we noticed a
huge drop in performance when comparing the tensorflow and pytorch models.
As I would love to continue to use pytorch I was wondering if anyone had some good
tips/hits/best practices to share on how to get pytorch to operate properly in a cpu only environment.
getting a gpu in production is not possible atm due to some weird contract issues