Open actor1996 opened 2 years ago
here are the settings in https://github.com/HRNet/HRNet-Facial-Landmark-Detection/blob/master/experiments/wflw/face_alignment_wflw_hrnet_w18.yaml
GPUS: (0,1,2,) WORKERS: 33 PRINT_FREQ: 3 ...
I didn't change other options
as showed in the picture above, the gpus 0,1,2 I used for train hrnet got 0% usage
How could that happen, is it because too much time is spent on processing data with the cpu
Preprocessing takes too much time. It's just a snap by using nvidia-smi. when using watch , it 's not always zero.
here are the settings in https://github.com/HRNet/HRNet-Facial-Landmark-Detection/blob/master/experiments/wflw/face_alignment_wflw_hrnet_w18.yaml
GPUS: (0,1,2,) WORKERS: 33 PRINT_FREQ: 3 ...
I didn't change other options
as showed in the picture above, the gpus 0,1,2 I used for train hrnet got 0% usage
How could that happen, is it because too much time is spent on processing data with the cpu