WenyaoZhang
I also have this problem? Have you solved it?
I didn't find the prediction.py .Can u give me some suggestions?
Thank u very much, but I can't find the test.py of GSCNN , so how to predict by GSCNN?
I have same question. And I want to know how to add the input_sources file and which type is it？
File "/home/zhangwenyao/pt/Dassl.pytorch/dassl/utils/tools.py", line 177, in check_availability "(do you mean [{}]?)".format(available, requested, psb_ans) ValueError: The requested one is expected to belong to ['Digit5', 'VisDA17', 'CIFARSTL', 'Office31', 'DomainNet', 'OfficeHome', 'miniDomainNet', 'PACS', 'VLCS',...
> The processing of radar point cloud is too time-consuming. You can try the method in Bevstereo. Store the point cloud as an npy file, and then read it. Thanks...
> The training speed is very slow, did anybody encounter this problem?  > > And the GPU is in use:  Have you solved this problem?
> Hi, I notice when you define the **model_variance** [here](https://github.com/openai/improved-diffusion/blob/783b6740edb79fdb7d063250db2c51cc9545dcd1/improved_diffusion/gaussian_diffusion.py#L279), first item of variance is set as **posterior_variance[1].** > > The comment here explains that _" we set initial (log-)variance...
following