My GPU is GTX1650 with 4GB of memory, and every time I run the example, I run out of memory. So is there a way to reduce the memory burden in the yaml parameters that I'm running, or do I need to upgrade my GPU to support the running conditions?
hi yy,
I think you should change the card. When I run the test.py on my A6000 card. The nvtop shows that it costs about 7GB memory. Hoping this helps you!
My GPU is GTX1650 with 4GB of memory, and every time I run the example, I run out of memory. So is there a way to reduce the memory burden in the yaml parameters that I'm running, or do I need to upgrade my GPU to support the running conditions?