Closed ErfolgreichCharismatisch closed 2 years ago
This seems to be a problem in the tiny-cuda-nn setup. I would suggest reporting that issue there https://github.com/NVlabs/tiny-cuda-nn, or testing their bindings in isolation to track down the issue: https://github.com/NVlabs/tiny-cuda-nn#pytorch-extension
Also, duplicate of issue #29
FWIW, when CUDA starts spamming errors in the STL headers (e.g. vector/xutility), I often find that this is a version issue between Visual Studio and CUDA. Unfortunately, it seems some CUDA versions (e.g. 11.3) are not compatible with the most recent VS versions. Installing the latest CUDA toolkit (https://developer.nvidia.com/cuda-toolkit) may solve this issue.
I followed
in Windows 10.
pip install --global-option="--no-networks" git+https://github.com/NVlabs/tiny-cuda-nn/#subdirectory=bindings/torch
threw