A Python package for GemPy
Project description
gempy_engine
GPU Install in Linux
- Check the instalation guide of tensorflow. It is very picky on the enviroment
- Install nvidia drivers before trying to install cuda
- the cuda installer has also the drivers but apparently is more difficult to set up
- Download the .run file instead the deb file
- cuDNN is always required an it is a pain
- this has to be installed with dev because it is IMPORTANT to install:
- Runtime library
- developer library
- this has to be installed with dev because it is IMPORTANT to install:
pykeops
- It needs cmake in the enviroment
- Make sure this is in bashrc:
Adding environment variables:
export PATH="/usr/local/cuda-11.2/bin:$PATH" export LD_LIBRARY_PATH="/usr/local/cuda-8.0/lib64:$LD_LIBRARY_PATH" for WSL: export PATH=/usr/local/cuda/bin:$PATH export LD_LIBRARY_PATH=/usr/lib/wsl/lib:$LD_LIBRARY_PATH
Adding the path to bash is not enough for Pycharm. It has to be added to the enviroment variables. In ubuntu is on the file /etc/environment
. Edit it with the following command sudo -H gedit /etc/environment
.
You can check that the variables are properly set in Pycharm looking in the Run Config
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