hello,
I have 4 GPU,  how can I train my model in the second GPU not the first cuz the first I am using it to train another model
RuntimeError: CUDA out of memory. Tried to allocate 14.00 MiB (GPU 0; 5.56 GiB total capacity; 43.77 MiB already allocated; 10.19 MiB free; 52.00 MiB reserved in total by PyTorch)
so I need to train in 2 , 3 , 4 GPU not the first is that possible?