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I do not think it is worth tryng to investigate this, but I wanted to report this somewhere so it can be found on search engines. Apparently with conda classic solver, even if jaxlib with cuda enabled has a higher build number, the non-cuda version get installed by default:
root@DESKTOP-T0NQNLN:~# conda info
active environment : None
shell level : 0
user config file : /root/.condarc
populated config files : /root/miniforge3/.condarc
/root/.condarc
conda version : 24.3.0
conda-build version : not installed
python version : 3.10.14.final.0
solver : libmamba (default)
virtual packages : __archspec=1=skylake
__conda=24.3.0=0
__cuda=12.0=0
__glibc=2.39=0
__linux=5.15.153.1=0
__unix=0=0
base environment : /root/miniforge3 (writable)
conda av data dir : /root/miniforge3/etc/conda
conda av metadata url : None
channel URLs : https://conda.anaconda.org/conda-forge/linux-64
https://conda.anaconda.org/conda-forge/noarch
package cache : /root/miniforge3/pkgs
/root/.conda/pkgs
envs directories : /root/miniforge3/envs
/root/.conda/envs
platform : linux-64
user-agent : conda/24.3.0 requests/2.31.0 CPython/3.10.14 Linux/5.15.153.1-microsoft-standard-WSL2 ubuntu/24.04 glibc/2.39 solver/libmamba conda-libmamba-solver/24.1.0 libmambapy/1.5.8
UID:GID : 0:0
netrc file : None
offline mode : False
Comment:
I do not think it is worth tryng to investigate this, but I wanted to report this somewhere so it can be found on search engines. Apparently with conda classic solver, even if jaxlib with cuda enabled has a higher build number, the non-cuda version get installed by default:
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