# Pull docker image
docker pull ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6

# Run docker container
nvidia-docker run --name ppcfd-container -v /home/:/home --network=host -it  --shm-size 64g ccr-2vdh3abv-pub.cnc.bj.baidubce.com/paddlepaddle/paddle:3.0.0-gpu-cuda11.8-cudnn8.9-trt8.6 /bin/bash

# Clone PaddleCFD
git clone https://github.com/PaddlePaddle/PaddleCFD.git
cd PaddleCFD

# Create conda environment
conda create --name ppcfd python=3.10
conda activate ppcfd

python -m pip install -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
python -m pip install paddlepaddle-gpu==3.0.0 -i https://www.paddlepaddle.org.cn/packages/stable/cu118/

# Download and install paddle-backended Open3D
wget https://paddle-org.bj.bcebos.com/paddlecfd/envs/open3d-0.18.0+da239b25-cp310-cp310-manylinux_2_31_x86_64.whl
python -m pip install open3d-0.18.0+da239b25-cp310-cp310-manylinux_2_31_x86_64.whl -i https://pypi.tuna.tsinghua.edu.cn/simple

# Compile customed operator to conda environment
wget -nc https://paddle-org.bj.bcebos.com/paddlescience/cmake-3.23.0-linux-x86_64.tar.gz
tar -zxvf cmake-3.23.0-linux-x86_64.tar.gz
rm -f cmake-3.23.0-linux-x86_64.tar.gz
PATH=$PWD/cmake-3.23.0-linux-x86_64/bin:$PATH
cd source/ppfno_op
python -m pip install --no-build-isolation -v .

# Install PaddleCFD from sourcecode at PaddleCFD root directory
python -m pip install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple

# Install PaddleCFD from pypi
python -m pip install ppcfd -i https://pypi.tuna.tsinghua.edu.cn/simple

# Run examples
cd PaddleCFD/examples/xxx/xxx
run the example according to the example README.md