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Use nvidia-smi to print out your cuda version. In my case, it is 11.2. Use conda list | grep cudatoolkit to print out the cudatoolkit version, in my case it is 11.7. You see, the difference between the cuda driver and cuatoolkit version is where this problem lies. An easy way to fix this, is to change cudatoolkit to the same 11.2 version. by conda install -c conda-forge cudatoolkit=11.2
Alternatively, you could modify the yaml file to change CUDA to OpenCL, if your platform supports OpenCL. However, this might not be as fast as CUDA in terms of utilizing GPU power.
The text was updated successfully, but these errors were encountered:
In case of the CUDA version error.
There are two ways to get rid of this
Use
nvidia-smi
to print out your cuda version. In my case, it is11.2
. Useconda list | grep cudatoolkit
to print out the cudatoolkit version, in my case it is11.7
. You see, the difference between the cuda driver and cuatoolkit version is where this problem lies. An easy way to fix this, is to change cudatoolkit to the same11.2
version. byconda install -c conda-forge cudatoolkit=11.2
Alternatively, you could modify the yaml file to change
CUDA
toOpenCL
, if your platform supports OpenCL. However, this might not be as fast as CUDA in terms of utilizing GPU power.The text was updated successfully, but these errors were encountered: