docker_local_distribute.sh

# Get the CUDA version from the command line
IMAGE=nvidia/cuda:12.1.0-devel-ubuntu18.04

docker pull ${IMAGE}

apt_command="apt update && apt install -y software-properties-common && add-apt-repository -y ppa:deadsnakes/ppa && apt update && apt install -y wget curl libtinfo-dev zlib1g-dev libssl-dev build-essential libedit-dev libxml2-dev"

install_python_env="curl -O https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && bash Miniconda3-latest-Linux-x86_64.sh -b -p ~/miniconda3 && export PATH=~/miniconda3/bin/:$PATH && conda create -n py38 python=3.8 -y && conda create -n py39 python=3.9 -y && conda create -n py310 python=3.10 -y && conda create -n py311 python=3.11 -y && conda create -n py312 python=3.12 -y && ln -s ~/miniconda3/envs/py38/bin/python3.8 /usr/bin/python3.8 && ln -s ~/miniconda3/envs/py39/bin/python3.9 /usr/bin/python3.9 && ln -s ~/miniconda3/envs/py310/bin/python3.10 /usr/bin/python3.10 && ln -s ~/miniconda3/envs/py311/bin/python3.11 /usr/bin/python3.11 && ln -s ~/miniconda3/envs/py312/bin/python3.12 /usr/bin/python3.12"

install_cmake="wget https://github.com/Kitware/CMake/releases/download/v3.28.4/cmake-3.28.4-linux-x86_64.tar.gz && tar -xvzf cmake-*.tar.gz && rm cmake-*.tar.gz && cd cmake-* && cp bin/* /usr/local/bin/ && mv share/* /usr/local/share/ && mv man/* /usr/local/man/ && hash -r && cd /tilelang && export LD_LIBRARY_PATH=/usr/lib/x86_64-linux-gnu/:$LD_LIBRARY_PATH"

install_pip="python3.8 -m pip install  --upgrade pip && python3.8 -m pip install -r requirements-build.txt"

tox_command="python3.8 -m tox -e py38,py39,py310,py311,py312"

docker run --rm -v $(pwd):/tilelang ${IMAGE} /bin/bash -c "$apt_command && $install_python_env && $install_cmake && $install_pip && $tox_command"