FROM ubuntu:18.04 LABEL maintainer="Amazon AI" # Prevent docker build get stopped by requesting user interaction ENV DEBIAN_FRONTEND=noninteractive ENV DEBCONF_NONINTERACTIVE_SEEN=true # Set environment variables for MKL # https://www.tensorflow.org/performance/performance_guide#tensorflow_with_intel%C2%AE_mkl_dnn ENV KMP_AFFINITY=granularity=fine,compact,1,0 ENV KMP_BLOCKTIME=1 ENV KMP_SETTINGS=0 # Python won’t try to write .pyc or .pyo files on the import of source modules ENV PYTHONDONTWRITEBYTECODE=1 ENV PYTHONUNBUFFERED=1 # See http://bugs.python.org/issue19846 ENV PYTHONIOENCODING=UTF-8 ENV LANG=C.UTF-8 ENV LC_ALL=C.UTF-8 # Specify the location of module that contains the training logic for SageMaker # https://docs.aws.amazon.com/sagemaker/latest/dg/docker-container-environmental-variables-entrypoint.html ENV SAGEMAKER_TRAINING_MODULE=sagemaker_tensorflow_container.training:main # Define framework-related package sources ARG FRAMEWORK_SUPPORT_INSTALLABLE=sagemaker_tensorflow_training*.tar.gz ARG TF_URL=https://tensorflow-aws.s3-us-west-2.amazonaws.com/1.15/AmazonLinux/cpu/final/tensorflow-1.15.0-cp36-cp36m-manylinux2010_x86_64.whl RUN apt-get update \ && apt-get install -y --no-install-recommends \ python3-dev \ python3-pip \ python3-setuptools \ software-properties-common \ build-essential \ openssh-client \ openssh-server \ ca-certificates \ curl \ git \ wget \ vim \ zlib1g-dev \ && rm -rf /var/lib/apt/lists/* # Install Open MPI RUN mkdir /tmp/openmpi \ && cd /tmp/openmpi \ && curl -fSsL -O https://download.open-mpi.org/release/open-mpi/v4.0/openmpi-4.0.1.tar.gz \ && tar zxf openmpi-4.0.1.tar.gz \ && cd openmpi-4.0.1 \ && ./configure --enable-orterun-prefix-by-default \ && make -j $(nproc) all \ && make install \ && ldconfig \ && rm -rf /tmp/openmpi # Create a wrapper for OpenMPI to allow running as root by default RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real \ && echo '#!/bin/bash' > /usr/local/bin/mpirun \ && echo 'mpirun.real --allow-run-as-root "$@"' >> /usr/local/bin/mpirun \ && chmod a+x /usr/local/bin/mpirun RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf \ && echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf ENV LD_LIBRARY_PATH=/usr/local/openmpi/lib:$LD_LIBRARY_PATH ENV PATH=/usr/local/openmpi/bin/:$PATH # SSH login fix. Otherwise user is kicked off after login RUN sed 's@session\s*required\s*pam_loginuid.so@session optional pam_loginuid.so@g' -i /etc/pam.d/sshd # Create SSH key. RUN mkdir -p /root/.ssh/ \ && mkdir -p /var/run/sshd \ && ssh-keygen -q -t rsa -N '' -f /root/.ssh/id_rsa \ && cp /root/.ssh/id_rsa.pub /root/.ssh/authorized_keys \ && printf "Host *\n StrictHostKeyChecking no\n" >> /root/.ssh/config WORKDIR / COPY $FRAMEWORK_SUPPORT_INSTALLABLE . RUN pip3 --no-cache-dir install --upgrade \ pip \ setuptools # Some TF tools expect a "python" binary RUN ln -s $(which python3) /usr/local/bin/python \ && ln -s $(which pip3) /usr/bin/pip RUN pip install --no-cache-dir -U \ numpy==1.17.4 \ scipy==1.2.2 \ scikit-learn==0.20.3 \ pandas==0.24.2 \ Pillow==6.2.1 \ h5py==2.9.0 \ keras_applications==1.0.8 \ keras_preprocessing==1.1.0 \ keras==2.3.1 \ requests==2.22.0 \ smdebug==0.5.0.post0 \ sagemaker-experiments==0.1.3 \ mpi4py==3.0.2 \ "cryptography>=2.3" \ "sagemaker-tensorflow>=1.15,<1.16" \ # Let's install TensorFlow separately in the end to avoid # the library version to be overwritten && pip install --force-reinstall --no-cache-dir -U \ ${TF_URL} \ && pip install --force-reinstall --no-cache-dir -U \ horovod==0.18.2 \ && pip install --no-cache-dir -U \ $FRAMEWORK_SUPPORT_INSTALLABLE \ awscli==1.17.7 \ && rm -f $FRAMEWORK_SUPPORT_INSTALLABLE COPY dockerd-entrypoint.py /usr/local/bin/dockerd-entrypoint.py COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py RUN chmod +x /usr/local/bin/dockerd-entrypoint.py \ && chmod +x /usr/local/bin/deep_learning_container.py RUN curl https://aws-dlc-licenses.s3.amazonaws.com/tensorflow/license.txt -o /license.txt ENTRYPOINT ["python", "/usr/local/bin/dockerd-entrypoint.py"] CMD ["bin/bash"]