FROM ubuntu:16.04 LABEL maintainer="Amazon AI" LABEL com.amazonaws.sagemaker.capabilities.accept-bind-to-port=true RUN apt-get update && apt-get install -y --no-install-recommends \ ca-certificates \ cmake \ curl \ git \ wget \ vim \ jq \ libsm6 \ libxext6 \ libxrender-dev \ build-essential \ zlib1g-dev \ libglib2.0-0 \ libgl1-mesa-glx \ openjdk-8-jdk-headless # See http://bugs.python.org/issue19846 ENV LANG C.UTF-8 # Add arguments to achieve the version, python and url ARG PYTHON_VERSION=2.7 RUN curl -o ~/miniconda.sh -O https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh && \ chmod +x ~/miniconda.sh && \ ~/miniconda.sh -b -p /opt/conda && \ rm ~/miniconda.sh && \ /opt/conda/bin/conda update conda && \ /opt/conda/bin/conda install -y python=$PYTHON_VERSION \ numpy==1.16.4 \ scipy==1.2.1 \ ipython==5.8.0 \ mkl==2019.4 \ mkl-include==2019.4 \ cython==0.29.12 \ typing==3.7.4 && \ /opt/conda/bin/conda clean -ya ENV PATH /opt/conda/bin:$PATH ARG PYTORCH_VERSION=1.2.0 ARG TORCHVISION_VERSION=0.4.0 ARG MMS_VERSION=1.0.7 RUN conda install -c conda-forge awscli==1.16.210 opencv==4.0.1 && \ conda install -y scikit-learn==0.20.3 \ pandas==0.24.2 \ pillow==6.1.0 \ h5py==2.9.0 \ requests==2.22.0 && \ conda install pytorch==$PYTORCH_VERSION torchvision==$TORCHVISION_VERSION cpuonly -c pytorch && \ conda clean -ya && \ pip install --upgrade pip --trusted-host pypi.org --trusted-host files.pythonhosted.org && \ pip install mxnet-model-server==$MMS_VERSION RUN useradd -m model-server \ && mkdir -p /home/model-server/tmp \ && chown -R model-server /home/model-server COPY docker/$PYTORCH_VERSION/py2/mms-entrypoint.py /usr/local/bin/dockerd-entrypoint.py COPY docker/$PYTORCH_VERSION/py2/config.properties /home/model-server RUN chmod +x /usr/local/bin/dockerd-entrypoint.py COPY dist/sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl RUN pip install --no-cache-dir /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl && \ rm /sagemaker_pytorch_serving_container-1.2-py2.py3-none-any.whl ENV SAGEMAKER_SERVING_MODULE sagemaker_pytorch_serving_container.serving:main EXPOSE 8080 8081 ENV TEMP=/home/model-server/tmp ENTRYPOINT ["python", "/usr/local/bin/dockerd-entrypoint.py"] CMD ["mxnet-model-server", "--start", "--mms-config", "/home/model-server/config.properties"]