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superbench failed at default most typical run config #519
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Seems you haven't installed nvidia-container-toolkit correctly and Docker cannot mount GPUs by |
i discovered that but nvidia container toolkit is not working either: |
i managed to get nvidia container toolkit working but still getting error. See below log:
|
I only left resnet 101 and now out of memory : rtx2070 super 8gb.
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Sorry. SuperBenchmark doesn't officially support GeForce series at all. Therefore, it will introduce many unexpected issues. There is no plan for recent release on GeForce series support. For GeForce related code & configuration setting (e.g. rtx2070), it would be great if you can contribute to it. |
it was due to memory size, i did manage some of the smaller training. you can close this. |
I dont think contribution is necessary. it is just same cuda chips with different brand name with smaller sizes and + gamind chips. Performance will be slower (GDDR5 intead of HBM, 8GB vs. 32GB etc) but i had no issue running scaled down workloads. |
Thanks for your discussion! Really appreciate it. We close this issue. |
What's the issue, what's expected?:
How to reproduce it?:
follow your own instruction at https://aka.ms/superbench.
Log message or shapshot?:
above
Additional information:
ubuntu 22.04 bare metal, gtx 2070, cuda 12.x
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