204 lines
7.4 KiB
Docker
204 lines
7.4 KiB
Docker
FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu20.04
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ARG DEBIAN_FRONTEND="noninteractive"
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ENV DEBIAN_FRONTEND=${DEBIAN_FRONTEND}
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ENV MAMBA_ROOT_PREFIX=~/micromamba
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ARG CONDA_ENV_NAME="ldh"
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ENV CONDA_ENV_NAME=${CONDA_ENV_NAME}
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ARG PYTHON_VERSION=3.10
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ENV PYTHON_VERSION=${PYTHON_VERSION}
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ARG ROOT_PASSWD="root"
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ENV ROOT_PASSWD=${ROOT_PASSWD}
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ENV PATH /opt/conda/bin:/opt/conda/envs/${CONDA_ENV_NAME}/bin:$PATH
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WORKDIR /root
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SHELL ["/bin/bash", "-c"]
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# base tools
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RUN <<EOT
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#!/bin/bash
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apt-get update
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apt-get install -y wget curl htop jq vim bash libaio-dev build-essential openssh-server
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apt-get install -y --no-install-recommends software-properties-common build-essential autotools-dev nfs-common pdsh cmake g++ gcc curl wget vim tmux emacs less unzip htop iftop iotop ca-certificates openssh-client openssh-server rsync iputils-ping net-tools sudo llvm-dev re2c
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add-apt-repository ppa:git-core/ppa -y
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apt-get install -y git libnuma-dev wget
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# install latest cmake
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wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc | sudo apt-key add -
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sudo apt-add-repository "deb https://apt.kitware.com/ubuntu/ $(lsb_release -cs) main"
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sudo apt-get update
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sudo apt-get install -y cmake
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# Configure SSH for password and public key authentication
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sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config
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sed -i 's/#PasswordAuthentication yes/PasswordAuthentication yes/' /etc/ssh/sshd_config
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sed -i 's/PubkeyAuthentication no/PubkeyAuthentication yes/' /etc/ssh/sshd_config
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sed -i 's/^#Port 22/Port 22/' /etc/ssh/sshd_config
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sed -i 's/^Port [0-9]*/Port 22/' /etc/ssh/sshd_config
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mkdir /var/run/sshd
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echo 'root:${ROOT_PASSWD}' | chpasswd
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mkdir -p ~/.pip
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# install miniconda
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wget -qO- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh
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bash /tmp/miniconda.sh -b -p /opt/conda
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rm /tmp/miniconda.sh
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conda init bash
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conda create -n ${CONDA_ENV_NAME} python=${PYTHON_VERSION} pyyaml ipython -y
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conda run -n ${CONDA_ENV_NAME} python -m pip install open_clip_torch vidia-ml-py3 opencv-contrib-python
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conda clean -afy
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ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh
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echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc
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echo "conda activate ${CONDA_ENV_NAME}" >> ~/.bashrc
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# 配置 .condarc 文件
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cat <<EOF > ~/.condarc
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channels:
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- conda-forge
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- bioconda
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- pytorch
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- pytorch-nightly
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- nvidia
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- defaults
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show_channel_urls: true
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EOF
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# 安装 micromamba
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echo 1 | bash <(curl -s https://cdn.jsdelivr.net/gh/hotwa/MicroMamba_Installer@main/install.sh)
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micromamba shell init -s bash -p ~/micromamba
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cat <<'EOF' >> ~/.bashrc
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source ~/micromamba/etc/profile.d/micromamba.sh
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alias mamba=micromamba
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alias mba=mamba
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EOF
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# 配置 .mambarc 文件
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cat <<EOF > ~/.mambarc
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channels:
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- conda-forge
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- bioconda
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- pytorch
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- pytorch-nightly
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- nvidia
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- defaults
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show_channel_urls: true
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EOF
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EOT
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# 安装 ninja 并测试
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RUN <<EOT
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#!/bin/bash
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# 安装 ninja
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source /opt/conda/etc/profile.d/conda.sh
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conda activate ${CONDA_ENV_NAME}
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# 克隆 ninja 源码并编译
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git clone https://github.com/ninja-build/ninja.git
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cd ninja
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# 克隆 GoogleTest 源码
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git clone https://github.com/google/googletest.git
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conda run -n ${CONDA_ENV_NAME} python ./configure.py --bootstrap
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# 配置并构建 Ninja 测试，添加 pthread 链接选项
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CXXFLAGS="-pthread" LDFLAGS="-pthread" ./configure.py --bootstrap --gtest-source-dir=$(pwd)/googletest
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./ninja all
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# 运行 Ninja 单元测试
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./ninja_test
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EOT
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# # deepspeed
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# ENV STAGE_DIR=/tmp
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# RUN <<EOT
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# #!/bin/bash
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# mkdir -p ${STAGE_DIR}
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# echo "ClientAliveInterval 30" >> /etc/ssh/sshd_config
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# cp /etc/ssh/sshd_config ${STAGE_DIR}/sshd_config
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# sed "0,/^#Port 22/s//Port 22/" ${STAGE_DIR}/sshd_config > /etc/ssh/sshd_config
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# EOT
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# # Mellanox OFED
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# WORKDIR ${STAGE_DIR}
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# ENV MLNX_OFED_VERSION=4.9-7.1.0.0
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# RUN wget -q -O - http://www.mellanox.com/downloads/ofed/MLNX_OFED-${MLNX_OFED_VERSION}/MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu20.04-x86_64.tgz | tar xzf - && \
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# cd MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu20.04-x86_64 && \
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# ./mlnxofedinstall --user-space-only --without-fw-update --all -q && \
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# cd ${STAGE_DIR} && \
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# rm -rf ${STAGE_DIR}/MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu20.04-x86_64*
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# # nv_peer_mem
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# ENV NV_PEER_MEM_VERSION=1.2
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# ENV NV_PEER_MEM_TAG=${NV_PEER_MEM_VERSION}-0
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# RUN mkdir -p ${STAGE_DIR} && \
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# git clone https://github.com/Mellanox/nv_peer_memory.git --branch ${NV_PEER_MEM_TAG} ${STAGE_DIR}/nv_peer_memory && \
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# cd ${STAGE_DIR}/nv_peer_memory && \
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# ./build_module.sh && \
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# cd ${STAGE_DIR} && \
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# tar xzf ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_VERSION}.orig.tar.gz && \
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# cd ${STAGE_DIR}/nvidia-peer-memory-${NV_PEER_MEM_VERSION} && \
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# apt-get update && \
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# apt-get install -y dkms && \
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# dpkg-buildpackage -us -uc && \
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# dpkg -i ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_TAG}_all.deb
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# # OPENMPI
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# ENV OPENMPI_BASEVERSION=4.1
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# ENV OPENMPI_VERSION=${OPENMPI_BASEVERSION}.6
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# RUN <<EOT
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# #!/bin/bash
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# cd ${STAGE_DIR}
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# wget -q -O - https://download.open-mpi.org/release/open-mpi/v${OPENMPI_BASEVERSION}/openmpi-${OPENMPI_VERSION}.tar.gz | tar xzf -
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# cd openmpi-${OPENMPI_VERSION}
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# ./configure --prefix=/usr/local/openmpi-${OPENMPI_VERSION}
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# make -j"$(nproc)" install
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# ln -s /usr/local/openmpi-${OPENMPI_VERSION} /usr/local/mpi
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# # Sanity check:
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# test -f /usr/local/mpi/bin/mpic++
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# cd ${STAGE_DIR}
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# rm -r ${STAGE_DIR}/openmpi-${OPENMPI_VERSION}
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# EOT
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# ENV PATH=/usr/local/mpi/bin:${PATH}
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# ENV LD_LIBRARY_PATH=/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:${LD_LIBRARY_PATH}
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# # Create a wrapper for OpenMPI to allow running as root by default
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# RUN mv /usr/local/mpi/bin/mpirun /usr/local/mpi/bin/mpirun.real && \
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# echo '#!/bin/bash' > /usr/local/mpi/bin/mpirun && \
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# echo 'mpirun.real --allow-run-as-root --prefix /usr/local/mpi "$@"' >> /usr/local/mpi/bin/mpirun && \
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# chmod a+x /usr/local/mpi/bin/mpirun
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# # Some Packages
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# RUN <<EOT
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# apt-get update
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# apt-get install -y --no-install-recommends libsndfile-dev libcupti-dev libjpeg-dev libpng-dev screen libaio-dev
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# source /opt/conda/etc/profile.d/conda.sh
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# conda activate ${CONDA_ENV_NAME}
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# conda install -y mpi4py
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# python -m pip install psutil \
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# yappi \
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# cffi \
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# ipdb \
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# pandas \
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# matplotlib \
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# py3nvml \
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# pyarrow \
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# graphviz \
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# astor \
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# boto3 \
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# tqdm \
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# sentencepiece \
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# msgpack \
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# requests \
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# pandas \
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# sphinx \
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# sphinx_rtd_theme \
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# scipy \
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# numpy \
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# scikit-learn \
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# nvidia-ml-py3
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# EOT
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# PyTorch
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ARG PYTORCH_VERSION=2.2.1
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ENV PYTORCH_VERSION=${PYTORCH_VERSION}
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RUN <<EOT
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#!/bin/bash
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source /opt/conda/etc/profile.d/conda.sh
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conda activate ${CONDA_ENV_NAME}
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pip install torch==${PYTORCH_VERSION} torchvision==0.17.1 torchaudio==${PYTORCH_VERSION} --index-url https://download.pytorch.org/whl/cu121
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pip install --no-build-isolation flash-attn -i https://pypi.org/simple/ --trusted-host pypi.org
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pip install deepspeed bitsandbytes accelerate transformers optimum
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pip install pydantic transformers datasets accelerate evaluate peft deepspeed tiktoken \
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sentencepiece tqdm nltk matplotlib seaborn numpy pandas scikit-learn diffusers \
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huggingface_hub spacy Pillow blobfile requests scipy pycocotools protobuf timm \
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pyyaml ipython xformers opencv-contrib-python open_clip_torch \
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packaging psutil zstandard -i https://pypi.org/simple/ --trusted-host pypi.org
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python -c "import deepspeed; print(deepspeed.__version__)"
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EOT
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# 启动 ssh 服务
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CMD ["/bin/bash", "-c", "service ssh start; tail -f /dev/null"] |