Hi All,
I’m trying to develop an image segmentation deep learning pipeline for microscopic images at super-resolutions. Have two 2080 RTX Tis, 11gb vram each.
I obviously cannot get my batch size over 1, but unfortunately dataparallel only splits across the batch size. Is there an already available way to split my compute on a single image across different gpus with pytorch?
Thanks!