Comments (4)
Have you solved this issue? I confronted with this problem ,too.
from tiny-cuda-nn.
@vermouth599 Hello,
I dont' rembered the detailed at that time it is the code bug or not, if yes, so please update to other version, if not, so i just give some hints to confirm if it comes from code bug or used build environment.
a. CMake i used 3.22.x, using 3.23.x maybe it can't pass build at a specific duration.
I don't remembered it is nvdiffrec or instant-ngp for this limit or not, but cmake 3.22 is the best for me at the beginning of the
year.
You can check the happened issueses to confirm if it had this issue or not.
b. Please confirm if you used the suitable VS environment, which seems like it is from native SDK.
Please use VS console(with VS environment) starting up by menu or set up the environment for console terminal using the
.bat inside VS installation.
c. Confirm cuda version, i used cuda 11.3 to match the latest stable pytorch(at that time maybe 1.11, now pytorch 1.12 should be stable for cuda 11.6, but i did not try that).
Once I used cuda 11.6 to match 1.11 under windows and ubuntu, but failed, and switch to 11.3 it passed, so i keeped on
cuda 11.3.
Wish to give a hint.
Regards
from tiny-cuda-nn.
Just closed since i solved it by myself-environment.
Regards
from tiny-cuda-nn.
Thank you! The problem solved when I update the codes ! And it does work!
from tiny-cuda-nn.
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