GPU memory requirements increases when using DCNv3_pytorch rather than DCNv3
jonassoebro opened this issue · comments
Jonas Christophersen commented
Thank you for this awesome implementation!
I've been using the InternImage as a backbone of my Detectron2 Faster-R-CNN implementation. My trained models need to run on CPU, so I tried making them compatible using the DCNv3_pytorch operator rather than the DCNv3. However the pytorch implementation seems to require a lot more GPU memory - is this expected or am I missing something?