Can you please provide more information about what the problem is? The error message you posted is lacking context. Specifically what input size were you trying to use? And did you generate the appropriate cachefiles before running, as mentioned here: http://resources.gem5.org/resources/dnn-mark? My guess is you didn’t use the —num-cus flag when generating the cachefiles? Finally, what is the command line was when you ran the experiment?
In terms of why we don’t run tests with all the different number of CUs, we don’t have infinite compute resources or time when running the tests (e.g., we want them to complete overnight). So we need to be targeted and only run a subset of tests that will complete within the time and resources we have. Hope this helps, Matt On Sun, Mar 5, 2023 at 5:48 AM 1575883782 via gem5-users < gem5-users@gem5.org> wrote: > Hi, > > Sorry to disturb you. When I run the DNNMark test_bwd_bn, I found the > error. > ``` > sh: 1: Cannot fork > MIOpen(HIP): Error [ValidateGcnAssemblerImpl] Specified assembler does not > support AMDGPU. Expect performance degradation. > ``` > > I saw other people who had the same problem, but it doesn't seem to have > been solved. ( > https://www.mail-archive.com/gem5-users@gem5.org/msg20597.html) > Maybe I can offer more imformation. When I run test_bwd_bn with 4 CUs, > everything is ok. But when I run it with 8 CUs or 16 CUs, the error occurs. > Besides, the person who asked in the email above was using 128CUs. > > Also, I found there are other gpu workloads can run successfully with > 4CUs, but not with 16CUs or more CUs. > > If possible, can the community measure 8CUs or more during the weekly > test? That's just my simple hope. > > Best. > _______________________________________________ > gem5-users mailing list -- gem5-users@gem5.org > To unsubscribe send an email to gem5-users-le...@gem5.org > -- Regards, Matt Sinclair Assistant Professor University of Wisconsin-Madison Computer Sciences Department cs.wisc.edu/~sinclair
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