GY_Zhang

Some questions about the eval metrics of this paper.

3

After reading your paper and code, some questions confused me. I would be very appreciate if someone can explain my question. First, it was argued swin-T is used in this...

RuntimeError: CUDA error: invalid device ordinal CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

2

I met this problem when I tried to run the command `CUDA_VISIBLE_DEVICES=0,1,2,3 torchrun --standalone --nproc_per_node=4 --nnodes=1 main_diffusion.py --gpu_id 0123 --cfg_path configs/training/diffusion_ffhq512.yaml --save_dir myfolder`. Could someone help me solve it?

There are some bugs in eval.py

1

When I try to run examples/longbench/eval.py，error happens in line 173，this could be task_type="memorag"?