I managed to get it working after abandoning cuda 10 and moving to a later 410 release. I’m on 410 release working with cuda 9.2 (not 10) and pytorch/fastai dailies, ubuntu 18.04.
I get an error with
fit_one_cycle(). (e.g. even on Part1v3 Lesson 1 Pets)
cuda runtime error (11) : invalid argument at /opt/conda/conda-bld/pytorch-nightly_1540205010643/work/aten/src/THC/THCGeneral.cpp:421 (looks like it is allocating memory?).
Weirdly the workaround is to run just run
fit_one_cycle again and it works the second time. Hope that helps someone else.
Has anyone tried the 2080 ti yet and come up with this issue? Or performed comparative performance tests with the 2080 ti under fastai?
FWIW here are some quick benchmarks showing the speed increase vs titan xp and 1080 ti with fastai. I suppose cuda 10 will speed things up further once pytorch officially supports it. https://forums.fast.ai/t/lesson-1-pets-benchmarks/27681/2?u=digitalspecialists