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volatile gpu-util=0% when training #83

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actor1996 opened this issue Nov 20, 2021 · 1 comment

actor1996 commented Nov 20, 2021 •

edited

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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

tianmaxingkong12 commented Apr 21, 2022

Preprocessing takes too much time. It's just a snap by using nvidia-smi. when using watch , it 's not always zero.

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