FROM nvidia/cuda:11.2.2-base-ubuntu20.04 AS base_image

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=1.1.8
ARG PYTHON=python3
ARG PYTHON_VERSION=3.9.10
ARG OPEN_MPI_VERSION=4.1.4
ARG MAMBA_VERSION=22.9.0-1
# HF ARGS
ARG TF_URL=https://framework-binaries.s3.us-west-2.amazonaws.com/tensorflow/r2.11_aws/gpu/2023-03-28-20-19/tensorflow_gpu-2.11.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
ARG TRANSFORMERS_VERSION

ENV DLC_CONTAINER_TYPE=inference

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

ENV PATH /opt/conda/bin:$PATH

RUN apt-get update \
 # TODO: Remove upgrade statements once packages are updated in base image
 && apt-get -y upgrade --only-upgrade systemd openssl cryptsetup \
 && apt-get install -y --no-install-recommends \
    ca-certificates \
    build-essential \
    libssl1.1 \
    openssl \
    openjdk-11-jdk-headless \
    vim \
    wget \
    curl \
    emacs \
    unzip \
    git \
    libnuma1 \
    libsndfile1-dev \
    ffmpeg \
 && apt-get clean \
 && rm -rf /var/lib/apt/lists/*

# https://github.com/docker-library/openjdk/issues/261 https://github.com/docker-library/openjdk/pull/263/files
RUN keytool -importkeystore -srckeystore /etc/ssl/certs/java/cacerts -destkeystore /etc/ssl/certs/java/cacerts.jks -deststoretype JKS -srcstorepass changeit -deststorepass changeit -noprompt; \
    mv /etc/ssl/certs/java/cacerts.jks /etc/ssl/certs/java/cacerts; \
    /var/lib/dpkg/info/ca-certificates-java.postinst configure;

# Install CondaForge miniconda
# Note: SSD Verification disabled as it breaks installs due to downgrading from py3.10 to py3.9
RUN curl -L -o ~/mambaforge.sh https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-x86_64.sh \
 && chmod +x ~/mambaforge.sh \
 && ~/mambaforge.sh -b -p /opt/conda \
 && rm ~/mambaforge.sh \
 && /opt/conda/bin/conda config --set ssl_verify False \
 && /opt/conda/bin/conda update -y conda \
 && /opt/conda/bin/conda install -c conda-forge \
    python=${PYTHON_VERSION} \
    cython \
    mkl \
    mkl-include \
    botocore \
    parso \
    typing \
    h5py \
    requests \
    # Below 2 are included in miniconda base, but not mamba so need to install
    conda-content-trust \
    charset-normalizer \
 && /opt/conda/bin/conda clean -ya

RUN pip install --upgrade pip --trusted-host pypi.org --trusted-host files.pythonhosted.org \
 && ln -s /opt/conda/bin/pip /usr/local/bin/pip3 \
 && pip install packaging \
    enum-compat==0.0.3 \
    # Putting a cap in versions number to avoid potential issues with a new major version
    "urllib3>=1.25.9" \
    cryptography==39.0.2

RUN wget https://download.open-mpi.org/release/open-mpi/v4.1/openmpi-${OPEN_MPI_VERSION}.tar.gz \
 && gunzip -c openmpi-$OPEN_MPI_VERSION.tar.gz | tar xf - \
 && cd openmpi-$OPEN_MPI_VERSION \
 && ./configure --prefix=/home/.openmpi \
 && make all install \
 && cd .. \
 && rm openmpi-$OPEN_MPI_VERSION.tar.gz \
 && rm -rf openmpi-$OPEN_MPI_VERSION

ENV PATH="$PATH:/home/.openmpi/bin"
ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/home/.openmpi/lib/"

WORKDIR /

RUN pip install --no-cache-dir \
    multi-model-server==$MMS_VERSION \
    sagemaker-inference

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 /etc/sagemaker-mms.properties

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

#################################
# Hugging Face specific section #
#################################

# Install TF Binary
RUN pip install --no-cache-dir -U ${TF_URL}

# We need TF_FORCE_GPU_ALLOW_GROWTH=true to prevent TF from overusing GPU memory when loading models
ENV TF_FORCE_GPU_ALLOW_GROWTH=true

# install Hugging Face libraries and its dependencies
RUN pip install --no-cache-dir \
   transformers[sentencepiece,audio,vision]==${TRANSFORMERS_VERSION} \
   "protobuf>=3.19.5,<3.20" \
   "numpy>=1.21.5" \
   "sagemaker-huggingface-inference-toolkit<3"

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* \
 && rm -iRf ${HOME_DIR}/.cache


EXPOSE 8080 8081
ENTRYPOINT ["python", "/usr/local/bin/dockerd-entrypoint.py"]
CMD ["serve"]