# 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 optimum-benchmark && \
        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'