Merge branch 'main' of https://wtrr1.jmsu.top:8543/lingyuzeng/cdc_dockerfile

2024-07-13 16:12:38 +08:00
parent 65c0338c74 250b66147c
commit 52d9b541a8
4 changed files with 611 additions and 0 deletions
--- a/finetune/Dockerfile.ldh
+++ b/finetune/Dockerfile.ldh
@@ -0,0 +1,177 @@
+# FROM pytorch/pytorch:2.3.0-cuda12.1-cudnn8-devel
+FROM nvidia/cuda:12.1.0-cudnn8-devel-ubuntu22.04
+
+ENV DEBIAN_FRONTEND="noninteractive"
+
+ENV STAGE_DIR="/tmp"
+RUN mkdir -p ${STAGE_DIR}
+
+ENV CUTLASS_PATH="/opt/cutlass"
+ARG CONDA_ENV_NAME="deepspeed"
+
+ENV CUDA_HOME="/usr/local/cuda"
+ENV PATH=${CUDA_HOME}/bin:${PATH}
+ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
+
+SHELL ["/bin/bash", "-c"]
+
+WORKDIR /root
+
+RUN \
+        apt-get update && \
+        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 && \
+        apt-get install -y git python3 python3-pip && \
+        apt-get install -y --no-install-recommends \
+        libsndfile-dev \
+        libcupti-dev \
+        libjpeg-dev \
+        libpng-dev \
+        screen \
+        libaio-dev
+RUN \
+        apt-get update && \
+        apt-get install -y lsof swig libmnl0 libltdl-dev libfuse2 udev tcl libgfortran5 \
+        graphviz ethtool bison libpci3 kmod pciutils dpatch libnl-route-3-200 libusb-1.0-0 \
+        tk m4 autoconf debhelper flex gfortran libnl-route-3-dev automake libnl-3-dev chrpath && \
+        apt-get install -y rdma-core ibverbs-utils perftest libibverbs-dev infiniband-diags && \
+        apt-get install -y quilt python3-distutils
+
+
+# install latest cmake
+RUN wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc | sudo apt-key add - && \
+        sudo apt-add-repository "deb https://apt.kitware.com/ubuntu/ $(lsb_release -cs) main" && \
+        apt-get update && \
+        apt-get install -y cmake
+
+
+# Install Miniconda
+RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \
+        /bin/bash ~/miniconda.sh -b -p /opt/conda -u && \
+        rm ~/miniconda.sh
+# Add conda to PATH and initialize conda
+ENV PATH=/opt/conda/bin:${PATH}
+RUN \
+        /opt/conda/bin/conda init bash
+
+# Create and activate a conda environment
+RUN /opt/conda/bin/conda create -n ${CONDA_ENV_NAME} python=3.10 -y && \
+        echo "source /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
+        echo "conda activate ${CONDA_ENV_NAME}" >> ~/.bashrc && \
+        /bin/bash -c "source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME}"
+ENV PATH=/opt/conda/envs/${CONDA_ENV_NAME}/bin:${PATH}
+
+# install cutlass https://github.com/NVIDIA/cutlass
+ARG DCUTLASS_NVCC_ARCHS="80;89;90a"
+ENV DCUTLASS_NVCC_ARCHS=${DCUTLASS_NVCC_ARCHS}
+RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \
+        git clone https://github.com/NVIDIA/cutlass /opt/cutlass && \
+        cd /opt/cutlass && \
+        git checkout . && \
+        git checkout main && \
+        mkdir build && \
+        cd build && \
+        cmake .. -DCUTLASS_NVCC_ARCHS=${DCUTLASS_NVCC_ARCHS} -DCUTLASS_ENABLE_TESTS=OFF -DCUTLASS_UNITY_BUILD_ENABLED=ON && \
+        make -j"$(nproc)" install
+
+
+# Mellanox OFED
+# ENV MLNX_OFED_VERSION=4.9-7.1.0.0
+RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \
+        apt-get install -y libnuma-dev libnvidia-compute-515 && \
+        cd ${STAGE_DIR} && \
+        wget -q -O - https://content.mellanox.com/ofed/MLNX_OFED-5.8-4.1.5.0/MLNX_OFED_LINUX-5.8-4.1.5.0-ubuntu22.04-x86_64.tgz | tar xzf - && \
+        cd MLNX_OFED_LINUX-5.8-4.1.5.0-ubuntu22.04-x86_64 && \
+        ./mlnxofedinstall --user-space-only --without-fw-update --all -q && \
+        cd ${STAGE_DIR} && \
+        rm -rf ${STAGE_DIR}/MLNX_OFED_LINUX-5.8-4.1.5.0-ubuntu22.04-x86_64.tgz*
+
+
+# nv_peer_mem
+ENV NV_PEER_MEM_VERSION=1.2
+# ENV NV_PEER_MEM_VERSION=1.3
+ENV NV_PEER_MEM_TAG=${NV_PEER_MEM_VERSION}-0
+RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \
+        mkdir -p ${STAGE_DIR} && \
+        git clone https://github.com/Mellanox/nv_peer_memory.git --branch ${NV_PEER_MEM_TAG} ${STAGE_DIR}/nv_peer_memory && \
+        cd ${STAGE_DIR}/nv_peer_memory && \
+        ./build_module.sh && \
+        cd ${STAGE_DIR} && \
+        tar xzf ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_VERSION}.orig.tar.gz && \
+        cd ${STAGE_DIR}/nvidia-peer-memory-${NV_PEER_MEM_VERSION} && \
+        apt-get update && \
+        apt-get install -y dkms && \
+        dpkg-buildpackage -us -uc && \
+        dpkg -i ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_TAG}_all.deb
+
+
+# OPENMPI
+# ENV OPENMPI_BASEVERSION=4.1
+# ENV OPENMPI_VERSION=${OPENMPI_BASEVERSION}.6
+ENV OPENMPI_BASEVERSION=5.0
+ENV OPENMPI_VERSION=${OPENMPI_BASEVERSION}.3
+RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \
+        cd ${STAGE_DIR} && \
+        wget -q -O - https://download.open-mpi.org/release/open-mpi/v${OPENMPI_BASEVERSION}/openmpi-${OPENMPI_VERSION}.tar.gz | tar xzf - && \
+        cd openmpi-${OPENMPI_VERSION} && \
+        ./configure --prefix=/usr/local/openmpi-${OPENMPI_VERSION} && \
+        make -j"$(nproc)" install && \
+        ln -s /usr/local/openmpi-${OPENMPI_VERSION} /usr/local/mpi && \
+        # Sanity check:
+        test -f /usr/local/mpi/bin/mpic++ && \
+        cd ${STAGE_DIR} && \
+        rm -r ${STAGE_DIR}/openmpi-${OPENMPI_VERSION}
+ENV PATH=/usr/local/mpi/bin:${PATH} \
+        LD_LIBRARY_PATH=/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:${LD_LIBRARY_PATH}
+# Create a wrapper for OpenMPI to allow running as root by default
+RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \
+        mv /usr/local/mpi/bin/mpirun /usr/local/mpi/bin/mpirun.real && \
+        echo '#!/bin/bash' > /usr/local/mpi/bin/mpirun && \
+        echo 'mpirun.real --allow-run-as-root --prefix /usr/local/mpi "$@"' >> /usr/local/mpi/bin/mpirun && \
+        chmod a+x /usr/local/mpi/bin/mpirun
+
+ENV PYTORCH_VERSION=2.3.0
+ENV TORCHVISION_VERSION=0.18.0
+ENV TORCHAUDIO_VERSION=2.3.0
+ENV PYTORCH_CUDA_VERSION='cu121'
+
+RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \
+        pip install torch==${PYTORCH_VERSION}+${PYTORCH_CUDA_VERSION} torchvision==${TORCHVISION_VERSION}+${PYTORCH_CUDA_VERSION} torchaudio==${TORCHAUDIO_VERSION}+${PYTORCH_CUDA_VERSION} xformers --extra-index-url https://download.pytorch.org/whl/${PYTORCH_CUDA_VERSION} && \
+        pip install packaging && \
+        pip install flash-attn && \
+        pip install deepspeed transformers datasets accelerate evaluate peft timm diffusers huggingface_hub && \
+        pip install tiktoken sentencepiece tqdm nltk matplotlib seaborn numpy pandas scikit-learn spacy Pillow blobfile requests scipy pycocotools protobuf pyyaml ipython psutil pydantic
+
+# Install apex with CUDA and C++ extensions
+# pip --version | grep -q "pip 23.1" && \
+#     (pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./) || \
+#     (pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --global-option="--cpp_ext" --global-option="--cuda_ext" ./) && \
+RUN source /opt/conda/etc/profile.d/conda.sh && conda activate ${CONDA_ENV_NAME} && \
+        git clone https://github.com/NVIDIA/apex /tmp/apex && \
+        cd /tmp/apex && \
+        pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./  && \
+        python -c "import apex.amp; print('Apex is installed and the amp module is available.')" && \
+        cd / && \
+        rm -rf /tmp/apex
+
+RUN \
+        echo 'root:root' | chpasswd && \
+        cp /etc/ssh/sshd_config /tmp/sshd_config && \
+        echo "ClientAliveInterval 30" >> /etc/ssh/sshd_config && \
+        sed -i "s/#Port 22/Port 22242/" /etc/ssh/sshd_config && \
+        sed -i "s/#PermitRootLogin prohibit-password/PermitRootLogin yes/" /etc/ssh/sshd_config && \
+        sed -i "s/#PasswordAuthentication yes/PasswordAuthentication yes/" /etc/ssh/sshd_config && \
+        sed -i "s/#PubkeyAuthentication yes/PubkeyAuthentication yes/" /etc/ssh/sshd_config && \
+        sed -i "s/UsePAM yes/UsePAM no/" /etc/ssh/sshd_config && \
+        chown root:root /etc/ssh/sshd_config && \
+        mkdir -p /run/sshd && chmod 0755 /run/sshd
+
+RUN \
+        bash -c 'echo -e "export CUTLASS_PATH=${CUTLASS_PATH}\nexport CUDA_HOME=${CUDA_HOME}\nexport PATH=${PATH}\nexport LD_LIBRARY_PATH=${LD_LIBRARY_PATH}\n" | cat - ~/.bashrc > temp && mv temp ~/.bashrc'
+
--- a/finetune/Dockerfile.o
+++ b/finetune/Dockerfile.o
@@ -0,0 +1,330 @@
+# syntax=docker/dockerfile:1
+
+# NOTE: Building this image require's docker version >= 23.0.
+#
+# For reference:
+# - https://docs.docker.com/build/dockerfile/frontend/#stable-channel
+ARG CUDA_VERSION=12.1.0
+FROM nvidia/cuda:${CUDA_VERSION}-cudnn8-devel-ubuntu22.04
+ARG HTTP_PROXY
+ARG HTTPS_PROXY
+ENV http_proxy=${HTTP_PROXY}
+ENV https_proxy=${HTTPS_PROXY}
+ARG DEBIAN_FRONTEND="noninteractive"
+ENV DEBIAN_FRONTEND=${DEBIAN_FRONTEND}
+ENV MAMBA_ROOT_PREFIX=~/micromamba
+ARG ROOT_PASSWD="root"
+ENV ROOT_PASSWD=${ROOT_PASSWD}
+WORKDIR /root
+SHELL ["/bin/bash", "-c"]
+COPY id_rsa.pub /root/.ssh/id_rsa.pub
+
+# base tools
+RUN apt-get update && \
+    apt-get install -y rdma-core ibverbs-utils perftest libibverbs-dev infiniband-diags && \
+    apt-get install -y wget curl htop jq vim bash libaio-dev build-essential openssh-server python3 python3-pip bzip2 && \
+    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 && \
+    add-apt-repository ppa:git-core/ppa -y && \
+    apt-get install -y git libnuma-dev wget && \
+    wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc | sudo apt-key add - && \
+    sudo apt-add-repository "deb https://apt.kitware.com/ubuntu/ $(lsb_release -cs) main" && \
+    sudo apt-get update && \
+    sudo apt-get install -y cmake && \
+    sed -i 's/#PermitRootLogin prohibit-password/PermitRootLogin yes/' /etc/ssh/sshd_config && \
+    sed -i 's/#PasswordAuthentication yes/PasswordAuthentication yes/' /etc/ssh/sshd_config && \
+    sed -i 's/PubkeyAuthentication no/PubkeyAuthentication yes/' /etc/ssh/sshd_config && \
+    sed -i 's/^#Port 22/Port 22/' /etc/ssh/sshd_config && \
+    mkdir /var/run/sshd && \
+    echo "root:${ROOT_PASSWD}" | chpasswd && \
+    mkdir -p ~/.pip && \
+    wget -qO- https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /tmp/miniconda.sh && \
+    bash /tmp/miniconda.sh -b -p /opt/conda && \
+    rm /tmp/miniconda.sh && \
+    conda init bash && \
+    ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \
+    echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \
+    cat <<EOF > ~/.condarc
+channels:
+  - conda-forge
+  - bioconda
+  - pytorch
+  - pytorch-nightly
+  - nvidia
+  - defaults
+show_channel_urls: true
+EOF
+
+# reference: https://github.com/huggingface/transformers/blob/main/docker/transformers-pytorch-deepspeed-latest-gpu/Dockerfile
+# PyTorch
+ARG CONDA_ENV_NAME="deepspeed"
+ENV CONDA_ENV_NAME=${CONDA_ENV_NAME}
+ARG PYTHON_VERSION=3.10
+ENV PYTHON_VERSION=${PYTHON_VERSION}
+ENV PATH=/opt/conda/envs/${CONDA_ENV_NAME}/bin:/usr/bin:/opt/conda/bin:$PATH
+ENV DEEPSPEED_PYTHON="/opt/conda/envs/${CONDA_ENV_NAME}/bin/python3"
+ENV REF='main'
+ENV STAGE_DIR=/tmp
+ENV OPENMPI_BASEVERSION=4.1
+ENV OPENMPI_VERSION=${OPENMPI_BASEVERSION}.6
+ARG CUDA='cu121'
+ENV CUDA=${CUDA}
+ARG PYTORCH_VERSION=2.3.1
+ENV PYTORCH_VERSION=${PYTORCH_VERSION}
+ARG TORCHVISION_VERSION=0.18.1
+ENV TORCHVISION_VERSION=${TORCHVISION_VERSION}
+ARG TORCHAUDIO_VERSION=2.3.1
+ENV TORCHAUDIO_VERSION=${TORCHAUDIO_VERSION}
+ARG PYTORCH_CUDA_VERSION=12.1
+ENV PYTORCH_CUDA_VERSION=${PYTORCH_CUDA_VERSION}
+ARG SETUPTOOLS_VERSION=69.5.1
+ENV SETUPTOOLS_VERSION=${SETUPTOOLS_VERSION}
+ARG USE_CUDA=1
+ENV USE_CUDA=${USE_CUDA}
+ARG USE_ROCM=0
+ENV USE_ROCM=${USE_ROCM}
+ARG USE_XPU=0
+ENV USE_XPU=${USE_XPU}
+ARG _GLIBCXX_USE_CXX11_ABI=1
+ENV _GLIBCXX_USE_CXX11_ABI=${_GLIBCXX_USE_CXX11_ABI}
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda create -n ${CONDA_ENV_NAME} python=${PYTHON_VERSION} -c conda-forge -y && \
+    echo "conda activate ${CONDA_ENV_NAME}" >> ~/.bashrc && \
+    which python > ~/python_path.txt && \
+    conda activate ${CONDA_ENV_NAME} && \
+    git clone https://github.com/ninja-build/ninja.git ${STAGE_DIR}/ninja && \
+    cd ${STAGE_DIR}/ninja && \
+    git clone https://github.com/google/googletest.git && \
+    python ./configure.py --bootstrap && \
+    conda run -n ${CONDA_ENV_NAME} bash -c "CXXFLAGS='-pthread' LDFLAGS='-pthread' python ./configure.py --bootstrap --gtest-source-dir=$(pwd)/googletest" && \
+    ./ninja all && \
+    ./ninja_test && \
+    python3 -m pip install --no-cache-dir --upgrade pip && \
+    python3 -m pip install open_clip_torch nvidia-ml-py3 opencv-contrib-python && \
+    conda clean -afy && \
+    git clone https://github.com/huggingface/transformers && cd transformers && git checkout $REF && cd .. && \
+    python -m pip install setuptools==${SETUPTOOLS_VERSION} && \
+    python3 -m pip install --no-cache-dir ./transformers[deepspeed-testing] && \
+    python3 -m pip uninstall -y torch torchvision torchaudio && \
+    python3 -m pip install torch==${PYTORCH_VERSION}+${CUDA} torchvision==${TORCHVISION_VERSION}+${CUDA} torchaudio==${TORCHAUDIO_VERSION} xformers --extra-index-url https://download.pytorch.org/whl/${CUDA} && \
+    python3 -m pip install --no-cache-dir git+https://github.com/huggingface/accelerate@main#egg=accelerate && \
+    python3 -m pip uninstall -y transformer-engine && \
+    python3 -m pip uninstall -y torch-tensorrt && \
+    python3 -m pip uninstall -y apex
+
+# install apex
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    git clone https://github.com/NVIDIA/apex ${STAGE_DIR}/apex && \
+    cd apex && \
+    MAX_JOBS=1 python3 -m pip install -v --disable-pip-version-check --no-cache-dir --no-build-isolation --config-settings "--build-option=--cpp_ext" --config-settings "--build-option=--cuda_ext" ./ && \
+    python -c "import apex.amp; print('Apex is installed and the amp module is available.')" && \
+    cd .. && \
+    rm -rf ${STAGE_DIR}/apex
+
+ENV MLNX_OFED_VERSION=5.8-4.1.5.0
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    mkdir -p ${STAGE_DIR} && \
+    wget -q -O - http://www.mellanox.com/downloads/ofed/MLNX_OFED-${MLNX_OFED_VERSION}/MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu22.04-x86_64.tgz | tar xzf - && \
+    cd MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu22.04-x86_64 && \
+    ./mlnxofedinstall --user-space-only --without-fw-update --all -q && \
+    cd ${STAGE_DIR} && \
+    rm -rf ${STAGE_DIR}/MLNX_OFED_LINUX-${MLNX_OFED_VERSION}-ubuntu22.04-x86_64*
+
+ENV NV_PEER_MEM_VERSION=1.2
+ENV NV_PEER_MEM_TAG=${NV_PEER_MEM_VERSION}-0
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    rm -rf ${STAGE_DIR} && \
+    mkdir -p ${STAGE_DIR} && \
+    git clone https://github.com/Mellanox/nv_peer_memory.git --branch ${NV_PEER_MEM_TAG} ${STAGE_DIR}/nv_peer_memory && \
+    cd ${STAGE_DIR}/nv_peer_memory && \
+    ./build_module.sh && \
+    cd ${STAGE_DIR} && \
+    tar xzf ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_VERSION}.orig.tar.gz && \
+    cd ${STAGE_DIR}/nvidia-peer-memory-${NV_PEER_MEM_VERSION} && \
+    apt-get update && \
+    apt --fix-broken install -y && \
+    apt-get install -y dkms && \
+    dpkg-buildpackage -us -uc && \
+    dpkg -i ${STAGE_DIR}/nvidia-peer-memory_${NV_PEER_MEM_TAG}_all.deb
+
+# install mpi
+ENV PATH=/usr/local/mpi/bin:${PATH} 
+ENV LD_LIBRARY_PATH=/usr/local/lib:/usr/local/mpi/lib:/usr/local/mpi/lib64:${LD_LIBRARY_PATH}
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    rm -rf ${STAGE_DIR} && \
+    mkdir -p ${STAGE_DIR} && \
+    cd ${STAGE_DIR} && \
+    wget -q -O - https://download.open-mpi.org/release/open-mpi/v${OPENMPI_BASEVERSION}/openmpi-${OPENMPI_VERSION}.tar.gz | tar xzf - && \
+    cd openmpi-${OPENMPI_VERSION} && \
+    ./configure --prefix=/usr/local/openmpi-${OPENMPI_VERSION} && \
+    make -j"$(nproc)" install && \
+    ln -s /usr/local/openmpi-${OPENMPI_VERSION} /usr/local/mpi && \
+    test -f /usr/local/mpi/bin/mpic++ && \
+    cd ${STAGE_DIR} && \
+    rm -r ${STAGE_DIR}/openmpi-${OPENMPI_VERSION} && \
+    mv /usr/local/mpi/bin/mpirun /usr/local/mpi/bin/mpirun.real && \
+    echo '#!/bin/bash' > /usr/local/mpi/bin/mpirun && \
+    echo 'mpirun.real --allow-run-as-root --prefix /usr/local/mpi "$@"' >> /usr/local/mpi/bin/mpirun && \
+    chmod a+x /usr/local/mpi/bin/mpirun
+
+# SSH daemon port inside container cannot conflict with host OS port
+# ENV SSH_PORT=2222
+# RUN source /opt/conda/etc/profile.d/conda.sh && \
+#     conda activate ${CONDA_ENV_NAME} && \
+#     cat /etc/ssh/sshd_config > ${STAGE_DIR}/sshd_config && \
+#     sed "0,/^Port 22/s//Port ${SSH_PORT}/" ${STAGE_DIR}/sshd_config > /etc/ssh/sshd_config
+
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    useradd --create-home --uid 1000 --shell /bin/bash deepspeed && \
+    usermod -aG sudo deepspeed && \
+    echo "deepspeed ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers
+
+# install cutlass https://github.com/NVIDIA/cutlass
+# H100: architecture is Hopper (cutlass need add : cmake .. -DCUTLASS_NVCC_ARCHS="90a" )
+# A100: architecture is Ampere 
+# V100: architecture is Volta 
+# T4: architecture is Turing 
+# ENV CUDACXX=${CUDA_INSTALL_PATH}/bin/nvcc
+# 70：适用于 NVIDIA Volta 架构（如 Tesla V100）。
+# 75：适用于 NVIDIA Turing 架构（如 Tesla T4）。
+# 80：适用于 NVIDIA Ampere 架构（如 A100）。
+# 90a：适用于 NVIDIA Hopper 架构（如 H100）。
+# 89:GeForce RTX 4090 
+ARG DCUTLASS_NVCC_ARCHS="80;89;90a"
+ENV DCUTLASS_NVCC_ARCHS=${DCUTLASS_NVCC_ARCHS}
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    git clone https://github.com/NVIDIA/cutlass /opt/cutlass && \
+    cd /opt/cutlass && \
+    git checkout . && \
+    git checkout master && \
+    mkdir build && \
+    cd build && \
+    cmake .. -DCUTLASS_NVCC_ARCHS=${DCUTLASS_NVCC_ARCHS} -DCUTLASS_ENABLE_TESTS=OFF -DCUTLASS_UNITY_BUILD_ENABLED=ON && \
+    make -j"$(nproc)" install && \
+    cd ..
+
+# Some Packages from https://github.com/microsoft/DeepSpeed/blob/master/docker/Dockerfile
+# RUN source /opt/conda/etc/profile.d/conda.sh && \
+#     conda activate ${CONDA_ENV_NAME} && \
+#     apt-get update && \
+#     apt-get install -y --no-install-recommends libsndfile-dev libcupti-dev libjpeg-dev libpng-dev screen libaio-dev && \
+#     python -m pip install pipdeptree psutil yappi cffi ipdb pandas matplotlib py3nvml pyarrow graphviz astor boto3 tqdm sentencepiece msgpack requests pandas sphinx sphinx_rtd_theme scipy numpy scikit-learn nvidia-ml-py3 mpi4py
+
+# install deepspeed step 1
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    /opt/conda/envs/${CONDA_ENV_NAME}/bin/python -m pip install setuptools==${SETUPTOOLS_VERSION} && \
+    git clone https://github.com/oneapi-src/oneCCL.git ${STAGE_DIR}/oneCCL && \
+    cd ${STAGE_DIR}/oneCCL && \
+    git checkout . && \
+    git checkout master && \
+    mkdir build && \
+    cd build && \
+    cmake .. -DCMAKE_INSTALL_PREFIX=/usr/local && \
+    make -j"$(nproc)" install
+
+# install deepspeed step 2
+ARG CUDA_ARCH_LIST="80;86;89;90"
+ENV CUDA_ARCH_LIST=${CUDA_ARCH_LIST}
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    git clone https://github.com/microsoft/DeepSpeed-Kernels.git ${STAGE_DIR}/DeepSpeed-Kernels && \
+    cd ${STAGE_DIR}/DeepSpeed-Kernels && \
+    CUDA_ARCH_LIST=${CUDA_ARCH_LIST} python -m pip install -v .
+
+ARG DEEPSPEED_VERSION="v0.14.3"
+ENV DEEPSPEED_VERSION=${DEEPSPEED_VERSION}
+ARG DEEPSPEED_INSTALL_FLAGS="--allow_sudo --pip_sudo --verbose"
+ENV DEEPSPEED_INSTALL_FLAGS=${DEEPSPEED_INSTALL_FLAGS}
+ARG DS_BUILD_SPARSE_ATTN=0
+ENV DS_BUILD_SPARSE_ATTN=${DS_BUILD_SPARSE_ATTN}
+ARG DS_BUILD_FUSED_ADAM=1
+ENV DS_BUILD_FUSED_ADAM=${DS_BUILD_FUSED_ADAM}
+ARG DS_BUILD_CPU_ADAM=1
+ENV DS_BUILD_CPU_ADAM=${DS_BUILD_CPU_ADAM}
+ARG DS_BUILD_OPS=1
+ENV DS_BUILD_OPS=${DS_BUILD_OPS}
+ARG HOSTFILE_CONTENT=""
+ENV HOSTFILE_CONTENT=${HOSTFILE_CONTENT}
+ENV CUTLASS_PATH='/opt/cutlass'
+ENV CUDA_HOME='/usr/local/cuda'
+ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
+ENV PATH=${CUDA_HOME}/bin:${PATH}
+
+# install deepspeed step 3
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    git clone https://github.com/microsoft/DeepSpeed.git ${STAGE_DIR}/DeepSpeed && \
+    cd ${STAGE_DIR}/DeepSpeed && \
+    git checkout ${DEEPSPEED_VERSION} && \
+    sed 's/pip install/python -m pip install/' install.sh > install_modified.sh && \
+    chmod +x ./install_modified.sh && \
+    if [ -n "${HOSTFILE_CONTENT}" ]; then \
+        echo "${HOSTFILE_CONTENT}" > /tmp/hostfile && \
+        INSTALL_CMD="./install_modified.sh ${DEEPSPEED_INSTALL_FLAGS} --hostfile /tmp/hostfile"; \
+    else \
+        INSTALL_CMD="./install_modified.sh ${DEEPSPEED_INSTALL_FLAGS}"; \
+    fi && \
+    eval $INSTALL_CMD && \
+    cat <<EOF > ~/compile_deepspeed_ops.py
+import deepspeed
+
+def compile_ops():
+    builders = [
+        deepspeed.ops.op_builder.AsyncIOBuilder,
+        deepspeed.ops.op_builder.FusedAdamBuilder,
+        deepspeed.ops.op_builder.CPUAdamBuilder,
+        deepspeed.ops.op_builder.CPUAdagradBuilder,
+        deepspeed.ops.op_builder.CPULionBuilder,
+        deepspeed.ops.op_builder.EvoformerAttnBuilder,
+        deepspeed.ops.op_builder.FPQuantizerBuilder,
+        deepspeed.ops.op_builder.FusedLambBuilder,
+        deepspeed.ops.op_builder.FusedLionBuilder,
+        deepspeed.ops.op_builder.QuantizerBuilder,
+        deepspeed.ops.op_builder.RaggedOpsBuilder,
+        deepspeed.ops.op_builder.RandomLTDBuilder,
+        deepspeed.ops.op_builder.SparseAttnBuilder,
+        deepspeed.ops.op_builder.SpatialInferenceBuilder,
+        deepspeed.ops.op_builder.TransformerBuilder,
+        deepspeed.ops.op_builder.StochasticTransformerBuilder,
+    ]
+    
+    for builder in builders:
+        print(f"Compiling {builder.__name__}")
+        builder().load()
+
+if __name__ == "__main__":
+    compile_ops()
+EOF && \
+    python compile_deepspeed_ops.py && \
+    ds_report
+
+# install transformers and flash-attn
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    git clone https://github.com/huggingface/transformers ${STAGE_DIR}/transformers && \
+    cd ${STAGE_DIR}/transformers && \
+    python3 ./setup.py develop && \
+    python3 -m pip install -U --no-cache-dir "pydantic<2" && \
+    pip install flash-attn --no-build-isolation -i https://pypi.org/simple/ --trusted-host pypi.org
+
+# other packages
+ENV TORCH_CUDA_ARCH_LIST="80;86;89;90"
+RUN source /opt/conda/etc/profile.d/conda.sh && \
+    conda activate ${CONDA_ENV_NAME} && \
+    pip3 install optimum && \
+    pip3 install peft tiktoken tqdm matplotlib seaborn numpy pandas scikit-learn diffusers huggingface_hub spacy blobfile pycocotools open_clip_torch zstandard -i https://pypi.org/simple/ --trusted-host pypi.org
+
+ARG DEEPSPEED_TRAIN='/data/train_data'
+ENV DEEPSPEED_TRAIN=DEEPSPEED_TRAIN
+ARG DEEPSPEED_VALIDATION='/data/validation_data'
+ENV DEEPSPEED_VALIDATION=DEEPSPEED_VALIDATION
+ARG NCCL_SOCKET_IFNAME='eth0'
+
+CMD ["/usr/sbin/sshd", "-D"]
+# CMD ["/bin/bash", "-c", "/usr/sbin/sshd -D & while true; do sleep 1000; done"]
--- a/finetune/docker-compose_ldh.yml
+++ b/finetune/docker-compose_ldh.yml
@@ -0,0 +1,41 @@
+
+services:
+  ldh-deepspeed-test:
+    build: 
+      context: .
+      dockerfile: Dockerfile.ldh
+    image: ldh/deepspeed:test
+    shm_size: '32gb'
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+    runtime: nvidia
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=all
+      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
+    stdin_open: true
+    tty: true
+    privileged: true
+    cap_add:
+      - IPC_LOCK
+    devices:
+      - /dev/infiniband:/dev/infiniband
+    volumes:
+      - /mnt/local-nvme2:/root/data/local-nvme2
+      - /mnt/local-nvme:/root/data/local-nvme
+    # ports:
+    #   - "22242:22242"
+    #   - "5000:5000"
+    # networks:
+    #   - ldh_overlay_network
+    network_mode: host
+    # command: ["/usr/sbin/sshd", "-D"]
+    # command: ["/usr/sbin/sshd"]
+
+# networks:
+#   ldh_overlay_network:
+#     external: true
--- a/finetune/docker-compose_pytorch2.34060.yml
+++ b/finetune/docker-compose_pytorch2.34060.yml
@@ -0,0 +1,63 @@
+version: '3.8'
+
+# DeepSpeed支持多种C++/CUDA扩展（ops），这些ops旨在优化深度学习的训练和推理过程。以下是一些主要的DeepSpeed ops及其功能：
+
+# FusedAdam - 提供融合优化的Adam优化器，适用于GPU。
+# FusedLamb - 类似FusedAdam，针对LAMB优化器，适用于大规模分布式训练。
+# SparseAttention - 用于高效计算稀疏注意力机制。
+# Transformer - 提供Transformer模型的高效实现。
+# TransformerInference - 专门用于Transformer模型的推理优化。
+# CPUAdam - 针对CPU优化的Adam优化器。
+# CPULion - 针对CPU的Lion优化器。
+# Quantizer - 提供量化支持，以减少模型大小和提高推理速度。
+# RandomLTD - 用于随机层裁剪的优化器。
+# StochasticTransformer - 支持随机Transformer模型的训练和推理。
+
+services:
+  ubuntu-finetune:
+    build: 
+      context: .
+      dockerfile: Dockerfile
+      args: # PyTorch版本、Python版本与pytorch_lightning版本的对应关系表 https://blog.csdn.net/qq_41813454/article/details/137421822
+        PYTHON_VERSION: "3.10"
+        CUDA_VERSION: "12.1.0"
+        PYTORCH_VERSION: "2.3.0"
+        TORCHVISION_VERSION: "0.18.0"
+        TORCHAUDIO_VERSION: "2.3.0"
+        DS_BUILD_OPS: 1
+        USE_CUDA: 1
+        USE_ROCM: 0
+        USE_XPU: 0
+        CUDA: cu121
+        CUDA_ARCH_LIST: "80;86;89;90" # for RTX 4090, all : "80;86;89;90"
+        SETUPTOOLS_VERSION: "69.5.1"
+        DCUTLASS_NVCC_ARCHS: "80;86;89;90" # 90a for H100 GPU 89:GeForce RTX 4090 
+        DEEPSPEED_VERSION: "master"
+        DEEPSPEED_INSTALL_FLAGS: "--allow_sudo"
+    volumes:
+      - ./src:/bbtft
+    container_name: ubuntu-finetune
+    pull_policy: if_not_present
+    # tty: true
+    restart: unless-stopped
+    image: hotwa/deepspeed:pt23
+    shm_size: '32gb'
+    ports:
+      - 3228:22
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=all
+      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
+      - TMPDIR=/var/tmp
+    networks:
+      - network_finetune
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+
+networks:
+  network_finetune:
+    name: network_finetune