Closed nick-torenvliet closed 1 year ago
Hi ram: 8 gb cpu: 8 cores intel(r) xeon(r) platinum 8362 cpu @ 2.80ghz gpu: a30 24gb and ~3800 cuda cores
I have not much experience with PyTorch and when I try to run train.py on an A100 with 40gb GPU ram, using the electricity dataset, it fails saying there is not enough GPU memory available.
Hello @gminorcoles, I would go with smaller batch size, but the model fits in a30s cards so it should fit in yours, unfortunatelly, debugging more than that would go beyond my assitance capabilities
Random question about your paper. In appendix b.3 you quote some training times. I am wondering about the hardware. Can you provide RAM, CPU(# and type), GPU (# and type).
I am wondering if you could discuss training times, and hardware required, to produce the various SOA results you have quoted throughout the rest of the paper.