A bash script to build and install xeus-cling from source in a python virtual environment or as a Docker image.
$ git clone git@github.com:arminms/xeus-cling-jupyter.git
$ cd xeus-cling-jupyter
$ ./make-xeus-cling-jupyter.sh --help
Usage: ./make-xeus-cling-jupyter.sh [OPTION]... [DIRECTORY(=~/xeus-cling(-env))]
Build and install xeus-cling 0.15.3 from source in DIRECTORY, optionally with a
python virtual environment or as a Docker image.
Needs CMake 3.12+ and 'realpath' to work (e.g. 'sudo apt-get install realpath').
-b FOLDER build directory (default: ./build)
-c clean the build directory after installation
-d build xeus-cling-jupyter Docker image (requires Docker)
-g install xeus-cling CUDA-enabled kernels for NVIDIA GPUs
-k install kernels to the current user's kernel registry
-n N number of threads to build cling (default: 2)
-h show this help message
-r resume the build from the last step
-s skip creating python virtual environment
-x install extra libraries (xproperty, xwidgets, xtensor)Use the following command to launch the Docker container:
docker run -p 8888:8888 -it --rm asobhani/xeus-cling-jupyter
Or this one with CUDA support:
docker run --gpus=all -p 8888:8888 -it --rm asobhani/xeus-cling-jupyter:latest-cuda