I have two anaconda python installs - the older anaconda install runs my network 2-3x faster than the newer install. The pytorch is compiled from sources with identical options.  Both installs run on the same machine and have seemingly  the same packages installed with slightly different versions. I cant’t figure out why one of the conda installs is much more CPU intensive. The CPU on a slower install runs at 600-700% utilization while on a faster install it runs at 160% utilization. I could include the package lists and compile logs, but they are very large.
Does anyone have any ideas why it could behave like this?
I am curious what could be the reason of the slowdown.