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Using Docker for compiling PyFleX

We provide both Dockerfile and pre-built Docker container for compiling PyFleX. After compilation, you will be able to use PyFleX outside docker. We would like to give special thanks to Yusufma03 for providing this solution.

Prerequisite

  • Install docker-ce
  • Install nvidia-docker
  • Install Anaconda
  • Install Pybind11 using conda install pybind11
  • Clone PyFleX git clone https://github.com/YunzhuLi/PyFleX.git

Running pre-built Dockerfile

  • Pull the pre-built docker file
docker pull yunzhuli/pyflex_16_04_cuda_9_1
  • Assuming you are using Anaconda, using the following command to run docker, which will mount the python environment and PyFleX into the docker container. Make sure you have replaced PATH_TO_PyFleX and PATH_TO_ANACONDA with the corresponding paths.
docker run \
  -v PATH_TO_PyFleX:/workspace/PyFleX \
  -v PATH_TO_ANACONDA:/workspace/anaconda \
  -it yunzhuli/pyflex_16_04_cuda_9_1:latest

For example

docker run \
  -v ~/Documents/PyFleX/:/workspace/PyFleX \
  -v ~/anaconda3/:/workspace/anaconda \
  -it yunzhuli/pyflex_16_04_cuda_9_1:latest
  • Now you are in the Docker environment. Go to the code repo and compile PyFleX
export PATH="/workspace/anaconda/bin:$PATH"
cd /workspace/PyFleX
export PYFLEXROOT=${PWD}
export PYTHONPATH=${PYFLEXROOT}/bindings/build:$PYTHONPATH
export LD_LIBRARY_PATH=${PYFLEXROOT}/external/SDL2-2.0.4/lib/x64:$LD_LIBRARY_PATH
cd bindings; mkdir build; cd build; cmake ..; make -j
  • Now that PyFleX has properly compiled. You can move outside docker, export the environment variables and start playing with PyFleX.
cd PATH_TO_PyFleX
export PYFLEXROOT=${PWD}
export PYTHONPATH=${PYFLEXROOT}/bindings/build:$PYTHONPATH
export LD_LIBRARY_PATH=${PYFLEXROOT}/external/SDL2-2.0.4/lib/x64:$LD_LIBRARY_PATH
cd ${PYFLEXROOT}/bindings/examples
python test_FluidFall.py

Running with Dockerfile

We also posted the Dockerfile. To generate the pre-built file, download the Dockerfile in this directory and run

docker build -t pyflex_16_04_cuda_9_1 .

in the directory that contains the Dockerfile.