From 76a0bfc1dfc208fdb08581b96067f8bce0e344c5 Mon Sep 17 00:00:00 2001
From: lingyuzeng <pylyzeng@gmail.com>
Date: Thu, 18 Jul 2024 16:42:26 +0800
Subject: [PATCH] add

---
 finetune/Dockerfile.o           | 330 --------------------------------
 finetune/docker-compose_ldh.yml |  37 ++--
 2 files changed, 24 insertions(+), 343 deletions(-)
 delete mode 100644 finetune/Dockerfile.o

diff --git a/finetune/Dockerfile.o b/finetune/Dockerfile.o
deleted file mode 100644
index 1a26cc5..0000000
--- a/finetune/Dockerfile.o
+++ /dev/null
@@ -1,330 +0,0 @@
-# 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 ${CONDA_ENV_NAME} && \
-    pip3 install optimum && \
-    pip3 install peft tiktoken tqdm matplotlib seaborn numpy pandas scikit-learn diffusers huggingface_hub spacy blobfile pycocotools open_clip_torch zstandard -i https://pypi.org/simple/ --trusted-host pypi.org
-
-ARG DEEPSPEED_TRAIN='/data/train_data'
-ENV DEEPSPEED_TRAIN=DEEPSPEED_TRAIN
-ARG DEEPSPEED_VALIDATION='/data/validation_data'
-ENV DEEPSPEED_VALIDATION=DEEPSPEED_VALIDATION
-ARG NCCL_SOCKET_IFNAME='eth0'
-
-CMD ["/usr/sbin/sshd", "-D"]
-# CMD ["/bin/bash", "-c", "/usr/sbin/sshd -D & while true; do sleep 1000; done"]
diff --git a/finetune/docker-compose_ldh.yml b/finetune/docker-compose_ldh.yml
index 1baeef1..ffefef1 100644
--- a/finetune/docker-compose_ldh.yml
+++ b/finetune/docker-compose_ldh.yml
@@ -5,10 +5,26 @@ services:
       context: .
       dockerfile: Dockerfile.ldh
       args:
+        # PYTHON_VERSION: "3.10"
+        # CUDA_VERSION: "12.1.0"
+        # PYTORCH_VERSION: "2.3.0"
+        # TORCHVISION_VERSION: "0.18.0"
+        # TORCHAUDIO_VERSION: "2.3.0"
+        # DS_BUILD_OPS: 1
+        # USE_CUDA: 1
+        # USE_ROCM: 0
+        # USE_XPU: 0
+        # CUDA: cu121
+        # CUDA_ARCH_LIST: "80;86;89;90" # for RTX 4090, all : "80;86;89;90"
+        # SETUPTOOLS_VERSION: "69.5.1"
+        # DCUTLASS_NVCC_ARCHS: "80;86;89;90;90a" # 90a for H100 GPU 89:GeForce RTX 4090 
+        # DEEPSPEED_VERSION: "master"
+        # DEEPSPEED_INSTALL_FLAGS: "--allow_sudo"
         HTTP_PROXY: "http://127.0.0.1:15777"
         HTTPS_PROXY: "http://127.0.0.1:15777"
+        # cache-from: "type=local"
     image: ldh/deepspeed:test
-    shm_size: '32gb'
+    shm_size: '128gb'
     deploy:
       resources:
         reservations:
@@ -20,22 +36,17 @@ services:
     environment:
       - NVIDIA_VISIBLE_DEVICES=all
       - NVIDIA_DRIVER_CAPABILITIES=compute,utility
-        #- CUTLASS_PATH="/opt/cutlass"
-        #- CUDA_HOME="/usr/local/cuda"
-        #- PATH="${CUDA_HOME}/bin:${PATH}"
-        #- LD_LIBRARY_PATH="${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}"
-    stdin_open: true
-    tty: true
+    # stdin_open: true
+    # tty: true
     privileged: true
     cap_add:
       - IPC_LOCK
     volumes:
-      # - /mnt/local-nvme2:/root/workspace
-      # - /dev/infiniband:/dev/infiniband
-    #  - /mnt/local-nvme:/root/
-    ports:
-      - "22242:22242"
-      - "5000:5000"
+      - /root/workspace:/root/data
+      - /dev/infiniband:/dev/infiniband
+    # ports:
+    #   - "22242:22242"
+    #   - "5000:5000"
     # networks:
     #   - ldh_overlay_network
     network_mode: host