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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

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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