FROM nvidia/cuda:11.0-cudnn8-runtime-ubuntu16.04

LABEL maintainer="Amazon AI"
LABEL dlc_major_version="1"

# Specify accept-bind-to-port LABEL for inference pipelines to use SAGEMAKER_BIND_TO_PORT
# https://docs.aws.amazon.com/sagemaker/latest/dg/inference-pipeline-real-time.html
LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true

ARG MMS_VERSION=1.1.7
ARG MX_URL=https://aws-mx-pypi.s3-us-west-2.amazonaws.com/1.8.0/aws_mx_cu110-1.8.0-py2.py3-none-manylinux2014_x86_64.whl
ARG PYTHON=python3
ARG PYTHON_PIP=python3-pip
ARG PIP=pip3
ARG PYTHON_VERSION=3.7.10
ARG OPENSSL_VERSION=1.1.1l

ENV PYTHONDONTWRITEBYTECODE=1 \
    PYTHONUNBUFFERED=1 \
    LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/lib" \
    PYTHONIOENCODING=UTF-8 \
    LANG=C.UTF-8 \
    LC_ALL=C.UTF-8 \
    TEMP=/home/model-server/tmp

RUN apt-get update \
 && apt-get -y install --no-install-recommends \
    build-essential \
    ca-certificates \
    curl \
    emacs \
    git \
    libopencv-dev \
    openjdk-8-jdk-headless \
    openjdk-8-jdk \
    openjdk-8-jre \
    vim \
    wget \
    unzip \
    zlib1g-dev \
    libreadline-gplv2-dev \
    libncursesw5-dev \
    libssl-dev \
    libsqlite3-dev \
    tk-dev \
    libgdbm-dev \
    libc6-dev \
    libbz2-dev \
    libffi-dev \
 && apt-get clean \
 && rm -rf /var/lib/apt/lists/*

## This section is for allowing the automatic updates of vulnerable packages.
COPY apt-upgrade-list.txt /tmp/apt-upgrade-list.txt
RUN apt-get update \
&& apt-get install --only-upgrade $(cat /tmp/apt-upgrade-list.txt) \
&& rm -rf /tmp/apt-upgrade-list.txt

# install OpenSSL
RUN wget -q -c https://www.openssl.org/source/openssl-${OPENSSL_VERSION}.tar.gz \
 && tar -xzf openssl-${OPENSSL_VERSION}.tar.gz \
 && cd openssl-${OPENSSL_VERSION} \
 && ./config && make -j $(nproc) && make install \
 && ldconfig \
 && cd .. && rm -rf openssl-* \
 && rmdir /usr/local/ssl/certs \
 && ln -s /etc/ssl/certs /usr/local/ssl/certs

# install Python
RUN wget -q https://www.python.org/ftp/python/$PYTHON_VERSION/Python-$PYTHON_VERSION.tgz \
 && tar -xzf Python-$PYTHON_VERSION.tgz \
 && cd Python-$PYTHON_VERSION \
 && ./configure --enable-shared --prefix=/usr/local \
 && make -j $(nproc) && make install \
 && cd .. && rm -rf ../Python-$PYTHON_VERSION* \
 && ln -s /usr/local/bin/pip3 /usr/bin/pip \
 && ln -s /usr/local/bin/$PYTHON /usr/local/bin/python \
 && ${PIP} --no-cache-dir install --upgrade \
    pip \
    setuptools

WORKDIR /

RUN ${PIP} install --no-cache-dir \
    "awscli<2" \
    boto3 \
    ${MX_URL} \
    gluonnlp==0.10.0 \
    gluoncv==0.8.0 \
    multi-model-server==$MMS_VERSION \
    keras-mxnet==2.2.4.1 \
    numpy==1.17.4 \
    onnx==1.7.0 \
    sagemaker-mxnet-inference

# This is here to make our installed version of OpenCV work.
# https://stackoverflow.com/questions/29274638/opencv-libdc1394-error-failed-to-initialize-libdc1394
# TODO: Should we be installing OpenCV in our image like this? Is there another way we can fix this?
RUN ln -s /dev/null /dev/raw1394

RUN useradd -m model-server \
 && mkdir -p /home/model-server/tmp \
 && chown -R model-server /home/model-server

COPY mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
COPY config.properties /home/model-server

RUN chmod +x /usr/local/bin/dockerd-entrypoint.py

COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py

RUN chmod +x /usr/local/bin/deep_learning_container.py

RUN HOME_DIR=/root \
 && curl -o ${HOME_DIR}/oss_compliance.zip https://aws-dlinfra-utilities.s3.amazonaws.com/oss_compliance.zip \
 && unzip ${HOME_DIR}/oss_compliance.zip -d ${HOME_DIR}/ \
 && cp ${HOME_DIR}/oss_compliance/test/testOSSCompliance /usr/local/bin/testOSSCompliance \
 && chmod +x /usr/local/bin/testOSSCompliance \
 && chmod +x ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh \
 && ${HOME_DIR}/oss_compliance/generate_oss_compliance.sh ${HOME_DIR} ${PYTHON} \
 && rm -rf ${HOME_DIR}/oss_compliance*

RUN curl https://aws-dlc-licenses.s3.amazonaws.com/aws-mx-1.8.0/license.txt -o /license.txt

EXPOSE 8080 8081
ENTRYPOINT ["python", "/usr/local/bin/dockerd-entrypoint.py"]
CMD ["multi-model-server", "--start", "--mms-config", "/home/model-server/config.properties"]