Thanks ptrblck,
When I run get_cuda_version() in Ubuntu 18.04, I get (‘11.0’, 8005) so slightly different cudnn.
I did the same install steps using conda in Ubuntu 18.04 as I do in Windows.
I’m getting the same results as Windows for same conda and pytorch as I do in Ubuntu for same GPU.
Colab gives me a P100 or V100 and its using pytorch+cu101. Is Cuda 10 less memory intensive?
I am using the display for my desktop but its less than 500MB.