安裝中文字典英文字典辭典工具!
安裝中文字典英文字典辭典工具!
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- OSError: CUDA_HOME environment variable is not set. Please set it to . . .
File "C:\Users\myname\miniconda3\envs\librarian\Lib\site-packages\torch\utils\cpp_extension py", line 2416, in _join_cuda_home raise OSError('CUDA_HOME environment variable is not set ' OSError: CUDA_HOME environment variable is not set
- Get CUDA_HOME environment path PYTORCH - Stack Overflow
It sounds like you're missing the CUDA Toolkit Here's how to install it: Visit NVIDIA's CUDA Toolkit download page, on google:
- CUDA_HOME environment variable is not set - Stack Overflow
So my main question is where is cuda installed when used through pytorch package, and can i use the same path as the environment variable for cuda_home? Additionaly if anyone knows some nice sources for gaining insights on the internals of cuda with pytorch tensorflow I'd like to take a look (I have been reading cudatoolkit documentation which
- CUDA_HOME path for Tensorflow - Stack Overflow
Ensure that you create the CUDA_HOME environment variable as described in the NVIDIA documentation I cannot find any mention of CUDA_HOME in the NVIDIA instructions for cuDNN v6 or in the NVIDIA CUDA Toolkit install instructions Does anyone know how this variable should be set on linux?
- CUDA_HOME environment variable is not set in docker container
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- CUDA_HOME environment variable didnt work - Stack Overflow
I've also set this environment variable inside the Visual Studio debug properties The syntax isn't clear for me, but I did CUDA_HOME=C:\CUDA\v12 1 It still claims that CUDA_HOME is not set
- how to set the cuda path in the conda environment?
So I just tried this on a fresh instance, and found that I had to install cuda-nvcc as well I wonder if the issue is that cudatoolkit and cudnn aren't install cuda-nvcc and thus aren't providing an alternative path when the conda env is activated –
- Pip install flash-attn --no-build-isolation throwing error
I am currently trying to install Apple's Ferret computer vision model and following the documentation provided here on its github page When running pip install flash-attn --no-build-isolation I am
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