`uniform_sample_cuda` fails when `spc_render.unbatched_raytrace` return empty tensors for `ridx`, `pidx`, and `depth` about kaolin-wisp HOT 1 OPEN

I have looked into the issue and got some findings.

This error happens when you run the app with the following setting:

• PyTorch Version: 2.*
• traicer.raymarch-type: uniform
• interactive: True

The code section terminating the app is

While investigating the code, I noticed that cudaGetLastError sometimes returns a non-zero enum value, which is mainly 9, meaning cudaErrorInvalidConfiguration, then the AT_CUDA_CHECK triggers the termination. A new finding is that the invalid configuration is actually raised even with cuda 11.7. Fortunate or not, AT_CUDA_CHECK, which is actually a wrapper of C10_CUDA_CHECK, does not handle the error code properly and does not terminate the app in PyTorch 1.* even if the error value is given. However, C10_CUDA_CHECK has been implemented differently since PyTorch 2.* and started to terminate the app.

I also run the app without the interactive viewer. Then I noticed the code runs completely in this case. Combined with the above situation, maybe something goes wrong on the interactive viewer side, and the error is caught by the AT_CUDA_CHECK in uniform_sample_cuda.cu.

As a workaround, AT_CUDA_CHECK can be commented out. As the case with PyTorch 1.*, the app works even though I am not sure it is a good situation.

I may further investigate the issue, but I have no experience with GUI app coding at all. So, if someone joins in solving this issue, I would really appreciate it.

from kaolin-wisp.