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Pavan Yalamanchili edited this page Sep 16, 2015
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Welcome to the arrayfire-python wiki!
You can get ArrayFire libraries using one of the following methods:
If you have not installed the ArrayFire library in your system paths, please make sure the following environment variables are exported.
export LD_LIBRARY_PATH=/path/to/arrayfire/lib:$LD_LIBRARY_PATH
If you are using CUDA, please add the following line as well
export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/path/to/cuda/lib64:/path/to/cuda/nvvm/lib64
You can put this in your ~/.bashrc
or the equivalent file to make it persistent.
export DYLD_LIBRARY_PATH=/path/to/arrayfire/lib:$DYLD_LIBRARY_PATH
If you are using CUDA, please add the following line as well
export DYLD_LIBRARY_PATH=$DYLD_LIBRARY_PATH:/path/to/cuda/lib:/path/to/cuda/nvvm/lib
You can put this in your ~/.bashrc
or the equivalent file to make it persistent.
To allow DLL detection for all users, it needs to be added to the system PATH variable. For this, follow the steps:
- Open Advanced System Settings:
- Windows 8: Move the Mouse pointer to the bottom right corner of the screen, Right click, choose System. Then click "Advanced System Settings"
- Windows 7: Open the Start Menu and Right Click on "Computer". Then choose Properties and click "Advanced System Settings"
- In Advanced System Settings window, click on Advanced tab
- Click on Environment Variables, then under System Variables, find PATH, and click on it.
- In edit mode, append
%AF_PATH%/lib
. NOTE: Ensure that there is a semi-colon separating%AF_PATH%/lib
from any existing content (e.g.EXISTING_PATHS;%AF_PATH%/lib;
) otherwise other software may not function correctly. - If using CUDA, append
%CUDA_PATH%/nvvm/bin
to thePATH
as mentioned above.