Off late paper space seems to running out of memory I am not sure what the issue could be. Refer to the post.
cuda runtime error (2) : out of memory at /opt/conda/conda-bld/pytorch_1518244421288/work/torch/lib/THC/generic/THCStorage.cu:58
Should I switch to AWS if its more stable environment
@jeremy @reshama @alessa @rachel
any thoughts on the above.
Reducing batch size might be helpful
Try different architectures.
Try with smaller - image size and batch size.
I prefer AWS because I am used to it, but also on AWS I have cuda runtime error - specially with resnext50 or resnet101 - but I dont mind since resnet50 gives good enough results.
@alessa thank you will, will keep your advice. I did contact paperspace and one of their recommendations was to switch to P5000. I might switch over to this, if I keep getting out of memory errors.
Is there any comparison on cost? I know after last month trying to train a model ofr the kaggle furniture competition, i got a bit of trouble at home in regards to my paperspace bill :-/