Hello,
While training the resnet from lesson 1 taking lots of time (15min+).
I tried all possible solutions from the forum and nothing helped.
My device Asus x556 with 940mx GPU, Core i5, 8 gig Ram and 250gb SSD with windows 10.
When I use tensorflow it always uses 90% GPU and no ram or CPU uses. Any way to do the same for the torch?
Thanks
It’s using the GPU…
Also 940mx isn’t suitable…(I also have it so I know, The real GPU series starts from 1050+…)
Is there any way to stop using CPUa and RAM? I can’t use the PC while training. 
The only way out is not to train on your laptop…
Just understand things properly and train them on a powerful machine or use AWS…
Mem error is because you are trying to allocate more memory than you have…
I encountered a similar issue using a GTX 1080 ti GPU on windows 10.
CPU: Intel® Core™ i7-6700 CPU @ 3.40GHz
RAM: 16384MB RAM
Has anyone found a solution?
How to make the training run on GPU ??
i have install cuda and cudnn but i m not able to proceed further.
