Open hTp34r opened 2 weeks ago
I am facing the same problem in Windows.
I know this is related to radnerfs as it is getting the CUDA version from Environment variables and not from conda environment. But what need to be done to fix this?
I am facing the same problem in Windows.
I know this is related to radnerfs as it is getting the CUDA version from Environment variables and not from conda environment. But what need to be done to fix this?
Sorry I'm also unsure about how to address it... qwq
The solution is the install the same CUDA version on your machine.
You can change it back to later version afterwards.
The solution is the install the same CUDA version on your machine.
You can change it back to later version afterwards.
Sorry but it doesn't work for me. Although I installed CUDA 11.7 on my computer both outside the conda environment and inside, some requirements that only support CUDA 12.1 were still automatically downloaded...
When I tried executing: ··· bash docs/prepare_env/install_ext.sh ··· It returned error which read 'The detected CUDA version (11.7) mismatches the version that was used to compile PyTorch (12.1). Please make sure to use the same CUDA versions.' However, we are supposed to install CUDA 11.7 since in your install_guide-zh.md it said '我们推荐安装torch2.0.1+cuda11.7. 已经发现 torch=2.1+cuda12.1 会导致 torch-ngp 错误'. How should I do? My machine is Ubuntu 22.04 with CUDA 11.7.0 locally installed and conda environment with python=3.9