########################################################
#  _____ ____ ____    ___
# | ____/ ___|___ \  |_ _|_ __ ___   __ _  __ _  ___
# |  _|| |     __) |  | || '_ ` _ \ / _` |/ _` |/ _ \
# | |__| |___ / __/   | || | | | | | (_| | (_| |  __/
# |_____\____|_____| |___|_| |_| |_|\__,_|\__, |\___|
#                                         |___/
#  ____           _
# |  _ \ ___  ___(_)_ __   ___ 
# | |_) / _ \/ __| | '_ \ / _ \
# |  _ <  __/ (__| | |_) |  __/
# |_| \_\___|\___|_| .__/ \___|
#                  |_|
########################################################
FROM arm64v8/ubuntu:20.04 as ec2

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

ARG PYTHON=python3
ARG PYTHON_VERSION=3.8.12
ARG PT_INFERENCE_URL=https://aws-pytorch-unified-cicd-binaries.s3.us-west-2.amazonaws.com/r1.12.1_graviton/torch-1.12.1%2Bcpu-cp38-cp38-linux_aarch64.whl
ARG PT_XLA_INFERENCE_URL=https://aws-pytorch-unified-cicd-binaries.s3.us-west-2.amazonaws.com/r1.12.1_graviton/torch_xla-1.12.0%2B82fbe57-cp38-cp38-linux_aarch64.whl
ARG PT_TORCHDATA_URL=https://aws-pytorch-unified-cicd-binaries.s3.us-west-2.amazonaws.com/r1.12.1_graviton/torchdata-0.4.1%2B983e87a-py3-none-any.whl
ARG PT_TORCHTEXT_URL=https://aws-pytorch-unified-cicd-binaries.s3.us-west-2.amazonaws.com/r1.12.1_graviton/torchtext-0.13.1a0%2B330201f-cp38-cp38-linux_aarch64.whl
ARG OPEN_MPI_VERSION=4.1.4
ARG TS_VERSION=0.6.1
ARG MAMBA_VERSION=4.12.0-2
ENV LANG C.UTF-8
ENV LD_LIBRARY_PATH /opt/conda/lib/:$LD_LIBRARY_PATH
ENV PATH /opt/conda/bin:$PATH
ENV TEMP=/home/model-server/tmp
RUN apt-get update \
 && apt-get install -y --no-install-recommends software-properties-common \
 && add-apt-repository ppa:openjdk-r/ppa \
 && apt-get update \
 && apt-get -y upgrade \
 && apt-get install -y --no-install-recommends \
    build-essential \
    ca-certificates \
    cmake \
    curl \
    emacs \
    # adding GCC 10 for graviton compile support
    gfortran-10 \
    g++-10 \
    gcc-10 \
    git \
    jq \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    openjdk-11-jdk \
    openssl \
    scons \
    vim \
    wget \
    unzip \
    zlib1g-dev \
 && apt-get autoremove -y \
 && rm -rf /var/lib/apt/lists/* \
 && apt-get clean

# Set default gcc, python and pip versions
RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 1 && \
    update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-10 1 && \
    update-alternatives --install /usr/bin/gfortran gfortran /usr/bin/gfortran-10 1

# 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;

RUN curl -L -o ~/mambaforge.sh https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-aarch64.sh \
 && chmod +x ~/mambaforge.sh \
 && ~/mambaforge.sh -b -p /opt/conda \
 && rm ~/mambaforge.sh

RUN /opt/conda/bin/conda install -c conda-forge python=$PYTHON_VERSION

RUN /opt/conda/bin/conda install -c conda-forge -y \
    ruamel_yaml \
    cython \
    ipython \
    numpy \
    parso \
    scipy \
    # Below 2 are included in miniconda base, but not mamba so need to install
    conda-content-trust \
    charset-normalizer

# Upstream conda looks to have moved to 4.13 which is incompatible with mamba 0.22.1 and will fail the conda-forge installs.
# having "conda update conda" before the "conda -c conda-forge" commands will automatically update conda to 4.13.
# Moving conda update conda" after the "conda -c conda-forge" commands keep conda at 4.12 but will update other packages using
# the current conda 4.12
RUN /opt/conda/bin/conda update -y conda

RUN /opt/conda/bin/conda clean -ya

# Conda installs links for libtinfo.so.6 and libtinfo.so.6.2 both
# Which causes "/opt/conda/lib/libtinfo.so.6: no version information available" warning
# Removing link for libtinfo.so.6. This change is needed only for ubuntu 20.04-conda, and can be reverted
# once conda fixes the issue https://github.com/conda/conda/issues/9680
RUN rm -rf /opt/conda/lib/libtinfo.so.6

RUN wget https://www.open-mpi.org/software/ompi/v4.1/downloads/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

# The ENV variables declared below are changed in the previous section
# Grouping these ENV variables in the first section causes
# ompi_info to fail. This is only observed in CPU containers
ENV PATH="$PATH:/home/.openmpi/bin"
ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/home/.openmpi/lib/"
RUN ompi_info --parsable --all | grep mpi_built_with_cuda_support:value

RUN conda install -c conda-forge -y \
    scikit-learn \
    pandas \
    requests \
 && conda clean -ya \
 && 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==20.4 \
    enum-compat==0.0.3 \
    "cryptography>=39.0.1"

# install torch and torchvision from the PyTorch website
RUN pip uninstall -y torch \
 && pip install --no-cache-dir -U $PT_INFERENCE_URL $PT_XLA_INFERENCE_URL $PT_TORCHDATA_URL $PT_TORCHTEXT_URL
RUN pip install "torchvision>=0.13,<0.14"

## Install ArmCL Package
RUN curl -L -o armcl.tar.gz https://aws-pytorch-unified-cicd-binaries.s3.us-west-2.amazonaws.com/r1.12.1_graviton/acl-v2205-12052022.tar.gz \
 && mkdir /opt/armClArtifact \
 && tar -xvf armcl.tar.gz -C /opt/armClArtifact \
 && rm armcl.tar.gz
ENV LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/opt/armClArtifact/"

RUN conda install -y -c conda-forge "pyyaml>=5.4,<5.5"
RUN pip install "opencv-python>=4.6,<5" "Pillow==9.3.0" "awscli<2"

RUN pip uninstall -y model-archiver multi-model-server \
 && pip install captum \
 && pip install torchserve==$TS_VERSION \
 && pip install torch-model-archiver==$TS_VERSION

RUN cd tmp/ \
 && rm -rf tmp*

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

COPY torchserve-ec2-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
COPY config.properties /home/model-server/config.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

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} \
 && cp ${HOME_DIR}/oss_compliance/build_from_source_packages/BUILD_FROM_SOURCE_PACKAGES_LICENCES_AARCH64_IMAGES ${HOME_DIR} \
 && rm -rf ${HOME_DIR}/oss_compliance*

RUN curl https://aws-dlc-licenses.s3.amazonaws.com/pytorch-1.12/license.txt -o /license.txt

# Removing the cache as it is needed for security verification
RUN rm -iRf /root/.cache

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

#################################################################
#  ____                   __  __       _
# / ___|  __ _  __ _  ___|  \/  | __ _| | _____ _ __
# \___ \ / _` |/ _` |/ _ \ |\/| |/ _` | |/ / _ \ '__|
#  ___) | (_| | (_| |  __/ |  | | (_| |   <  __/ |
# |____/ \__,_|\__, |\___|_|  |_|\__,_|_|\_\___|_|
#              |___/
#  ___                              ____           _
# |_ _|_ __ ___   __ _  __ _  ___  |  _ \ ___  ___(_)_ __   ___
#  | || '_ ` _ \ / _` |/ _` |/ _ \ | |_) / _ \/ __| | '_ \ / _ \
#  | || | | | | | (_| | (_| |  __/ |  _ <  __/ (__| | |_) |  __/
# |___|_| |_| |_|\__,_|\__, |\___| |_| \_\___|\___|_| .__/ \___|
#                      |___/                        |_|
#################################################################

FROM ec2 AS sagemaker

LABEL maintainer="Amazon AI"
LABEL dlc_major_version="1"
LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true
LABEL com.amazonaws.sagemaker.capabilities.multi-models=true


ARG PYTHON=python3
ARG PYTHON_VERSION=3.8.10

ENV SAGEMAKER_SERVING_MODULE sagemaker_pytorch_serving_container.serving:main

RUN pip install --no-cache-dir sagemaker-pytorch-inference==2.0.11

COPY torchserve-entrypoint.py /usr/local/bin/dockerd-entrypoint.py

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

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