Usage:
docker run --rm --gpus all --cap-add=SYS_ADMIN -t dualvtable/dcgmproftester:2.0.10-cuda11.0-ubuntu18.04 --no-dcgm-validation -t 1004 -d 5
where -t represents the type of workload to be generated (fieldID in DCGM parlance) and -d represents the duration (in seconds) that the load should be generated on the GPU.
Content type
Image
Digest
Size
220.3 MB
Last updated
almost 6 years ago
docker pull dualvtable/dcgmproftester:2.0.10-cuda11.0-ubuntu18.04