python train.py --data jm_fire.yaml --weights weights/gpu/yolov5m6.pt --img 640 --epochs 500 --workers 1 --batch-size 16
Traceback (most recent call last):
File "train.py", line 667, in
main(opt)
File "train.py", line 562, in main
train(opt.hyp, opt, device, callbacks)
File "train.py", line 375, in train
pbar.set_description(('%10s' * 2 + '%10.4g' * 5) %
RuntimeError: CUDA error: an illegal memory access was encountered
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.
