nybc
nybc
@enazoe great work, thanks！
> @ys-2020, could you please take a look at this issue when you have time? Thanks! I also meet this problem. Under torchsparse 2.1, the cpu utilization is way too...
Hi @ys-2020 , For torchsparse2.1, when I train spvans, the cpu utilization of all cores is close to 100% no matter what the numworker is. I blocked the model training...
> Hi @ybc-ybc , could you please provide a snippet code for reproduction? Thank you. Thank you for your prompt reply！ The code is just the spvnas：https://github.com/mit-han-lab/spvnas/tree/dev/torchsparsepp_backend I train it...
> I see. I'll take a look. Did you reproduce the problem?
> No. I didn’t observe the same situation on my server. I think this problem might be caused by dataloader library rather than torchsparse. I would suggest you check the...
> Did you find which part leads to the high CPU utilization on your machine? I also noticed a similar situation on a new environment. And it seems that this...
> **I would suggest you use "hashmap" mode if that is the case.** > > Since I did not meet the same illegal memory access problem when running the spvnas...
> Hi all, > > We've relaunched the pypi server. Sorry for the inconvenience. > > Best, Haotian Still unreachable.
> @ys-2020, could you please take a look at this issue when you have time? Thanks! hello， the .whl file on the sever still is unreachable.