Hi @Paseul
I’m sorry to hear that your submission did not work. Using pytorch-cpu should work. I made my submission this way. I propose the following steps to resolve the issues:
- If you are running on a CPU-only machine, please use
torch.loadwithmap_location='cpu'to map your storages to the CPU` - if this does not work. Uninstall pytorch in your conda environment. Then run the following command in your conda env
conda install -c pytorch pytorch-cpu. Once this is done you have to update yourenvironment.ymlas explained in the starter kit.
Please let me know if this resolves your issues.
Best regards
Erik