Dockerfile for PointPillars implementation

Dockerfile.second-pytorch

# Based on https://github.com/ufoym/deepo/blob/master/docker/Dockerfile.pytorch-py36-cu101

FROM nvidia/cuda:10.1-cudnn7-devel-ubuntu18.04
ENV LANG C.UTF-8
RUN APT_INSTALL="apt-get install -y --no-install-recommends" && \
    PIP_INSTALL="python -m pip --no-cache-dir install --upgrade" && \
    GIT_CLONE="git clone --depth 10" && \

    rm -rf /var/lib/apt/lists/* \
           /etc/apt/sources.list.d/cuda.list \
           /etc/apt/sources.list.d/nvidia-ml.list && \

    apt-get update && \

# ==================================================================
# tools
# ------------------------------------------------------------------

    DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
        build-essential \
        apt-utils \
        ca-certificates \
        wget \
        git \
        vim \
        libssl-dev \
        curl \
        unzip \
        unrar \
        libsparsehash-dev \
        && \

    $GIT_CLONE https://github.com/Kitware/CMake ~/cmake && \
    cd ~/cmake && \
    ./bootstrap && \
    make -j"$(nproc)" install && \

# ==================================================================
# python
# ------------------------------------------------------------------

    DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
        software-properties-common \
        && \
    add-apt-repository ppa:deadsnakes/ppa && \
    apt-get update && \
    DEBIAN_FRONTEND=noninteractive $APT_INSTALL \
        python3.6 \
        python3.6-dev \
        python3-distutils-extra \
        && \
    wget -O ~/get-pip.py \
        https://bootstrap.pypa.io/get-pip.py && \
    python3.6 ~/get-pip.py && \
    ln -s /usr/bin/python3.6 /usr/local/bin/python3 && \
    ln -s /usr/bin/python3.6 /usr/local/bin/python && \
    $PIP_INSTALL \
        setuptools \
        && \
    $PIP_INSTALL \
        numpy \
        scipy \
        pandas \
        cloudpickle \
        scikit-image>=0.14.2 \
        scikit-learn \
        matplotlib \
        Cython \
        tqdm \
        && \

# ==================================================================
# pytorch
# ------------------------------------------------------------------

    $PIP_INSTALL \
        future \
        numpy \
        protobuf \
        enum34 \
        pyyaml \
        typing \
        && \
    $PIP_INSTALL \
        torch==1.5.1+cu101 torchvision==0.6.1+cu101 -f https://download.pytorch.org/whl/torch_stable.html \
        && \

# ==================================================================
# config & cleanup
# ------------------------------------------------------------------

    ldconfig && \
    apt-get clean && \
    apt-get autoremove && \
    rm -rf /var/lib/apt/lists/* /tmp/* ~/*

RUN PIP_INSTALL="python -m pip --no-cache-dir install --upgrade" && \
    $PIP_INSTALL \
        shapely fire pybind11 tensorboardX protobuf \
        scikit-image numba pillow

WORKDIR /root
RUN wget https://dl.bintray.com/boostorg/release/1.68.0/source/boost_1_68_0.tar.gz
RUN tar xzvf boost_1_68_0.tar.gz
RUN cp -r ./boost_1_68_0/boost /usr/include
RUN rm -rf ./boost_1_68_0
RUN rm -rf ./boost_1_68_0.tar.gz
RUN git clone https://github.com/traveller59/second.pytorch.git --depth 10
RUN git clone https://github.com/traveller59/SparseConvNet.git --depth 10
ENV TORCH_CUDA_ARCH_LIST Volta;Turing
RUN sed -i -e 's/c++11/c++14/g' SparseConvNet/setup.py
RUN cd ./SparseConvNet && python setup.py install && cd .. && rm -rf SparseConvNet
ENV NUMBAPRO_CUDA_DRIVER=/usr/lib/x86_64-linux-gnu/libcuda.so
ENV NUMBAPRO_NVVM=/usr/local/cuda/nvvm/lib64/libnvvm.so
ENV NUMBAPRO_LIBDEVICE=/usr/local/cuda/nvvm/libdevice
ENV PYTHONPATH=/root/second.pytorch

VOLUME ["/root/data"]
VOLUME ["/root/model"]
WORKDIR /root/second.pytorch/second

ENTRYPOINT ["fish"]