The current Dockerfile uses an image with outdated CUDA library cudagl:11.3.0-devel which does not support RTX 4090. To fix this, the docker image and torch version in the Dockerfile can be updated. Following changes worked for me.

1. Update docker image and torch version in docker/dockerfile:

FROM nvidia/cuda:12.1.0-devel-ubuntu20.04 ... RUN conda init bash &&\ echo "conda activate my" >> ~/.bashrc &&\ conda activate my &&\ pip install torchvision==0.16.0+cu121 torchaudio==2.1.0 torch==2.1.0+cu121 --index-url https://download.pytorch.org/whl/cu121 &&\ ... 

2. Additionally, update the compiler flags in bundlesdf/mycuda/setup.py from c++14 to c++17:

nvcc_flags = ['-Xcompiler', '-O3', '-std=c++17', '-U__CUDA_NO_HALF_OPERATORS__', '-U__CUDA_NO_HALF_CONVERSIONS__', '-U__CUDA_NO_HALF2_OPERATORS__'] c_flags = ['-O3', '-std=c++17'] 

With these fixes, I was able to successfully build and run the provided examples: run_demo.py and bundlesdf/run_nerf.py.