FROM nvidia/cuda:10.0-base-ubuntu16.04 LABEL maintainer="Amazon AI" RUN apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated \ ca-certificates \ cuda-command-line-tools-10-0 \ cuda-cublas-dev-10-0 \ cuda-cudart-dev-10-0 \ cuda-cufft-dev-10-0 \ cuda-curand-dev-10-0 \ cuda-cusolver-dev-10-0 \ cuda-cusparse-dev-10-0 \ curl \ libcudnn7=7.5.1.10-1+cuda10.0 \ # TensorFlow doesn't require libnccl anymore but Open MPI still depends on it libnccl2=2.4.7-1+cuda10.0 \ libgomp1 \ gcc-4.9 \ g++-4.9 \ gcc-4.9-base \ libnccl-dev=2.4.7-1+cuda10.0 \ libfreetype6-dev \ libhdf5-serial-dev \ libpng12-dev \ libzmq3-dev \ git \ wget \ vim \ build-essential \ openssh-client \ openssh-server \ zlib1g-dev && \ # The 'apt-get install' of nvinfer-runtime-trt-repo-ubuntu1604-4.0.1-ga-cuda9.0 # adds a new list which contains libnvinfer library, so it needs another # 'apt-get update' to retrieve that list before it can actually install the # library. # We don't install libnvinfer-dev since we don't need to build against TensorRT, # and libnvinfer4 doesn't contain libnvinfer.a static library. apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated \ nvinfer-runtime-trt-repo-ubuntu1604-5.0.2-ga-cuda10.0 && \ apt-get update && apt-get install -y --no-install-recommends --allow-unauthenticated \ libnvinfer5=5.0.2-1+cuda10.0 && \ rm /usr/lib/x86_64-linux-gnu/libnvinfer_plugin* && \ rm /usr/lib/x86_64-linux-gnu/libnvcaffe_parser* && \ rm /usr/lib/x86_64-linux-gnu/libnvparsers* && \ rm -rf /var/lib/apt/lists/* && \ mkdir -p /var/run/sshd ########################################################################### # Horovod & its dependencies ########################################################################### # 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 $(nproc) all && \ make install && \ ldconfig && \ rm -rf /tmp/openmpi ARG PYTHON=python3 ARG PYTHON_PIP=python3-pip ARG PIP=pip3 ARG PYTHON_VERSION=3.6.6 RUN wget https://www.python.org/ftp/python/$PYTHON_VERSION/Python-$PYTHON_VERSION.tgz && \ tar -xvf Python-$PYTHON_VERSION.tgz && cd Python-$PYTHON_VERSION && \ ./configure && make && make install && \ apt-get update && apt-get install -y --no-install-recommends libreadline-gplv2-dev libncursesw5-dev libssl-dev libsqlite3-dev tk-dev libgdbm-dev libc6-dev libbz2-dev && \ make && make install && rm -rf ../Python-$PYTHON_VERSION* && \ ln -s /usr/local/bin/pip3 /usr/bin/pip # 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 "$@"' >> /usr/local/bin/mpirun && \ chmod a+x /usr/local/bin/mpirun # Configure OpenMPI to run good defaults: # --bind-to none --map-by slot --mca btl_tcp_if_exclude lo,docker0 RUN echo "hwloc_base_binding_policy = none" >> /usr/local/etc/openmpi-mca-params.conf && \ echo "rmaps_base_mapping_policy = slot" >> /usr/local/etc/openmpi-mca-params.conf # Set default NCCL parameters RUN echo NCCL_DEBUG=INFO >> /etc/nccl.conf ENV LD_LIBRARY_PATH=/usr/local/openmpi/lib:$LD_LIBRARY_PATH ENV PATH /usr/local/openmpi/bin/:$PATH ENV PATH=/usr/local/nvidia/bin:$PATH # SSH login fix. Otherwise user is kicked off after login RUN mkdir -p /var/run/sshd && 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/ && \ 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 ########################################################################### # Python won’t try to write .pyc or .pyo files on the import of source modules ENV PYTHONDONTWRITEBYTECODE=1 PYTHONUNBUFFERED=1 PYTHONIOENCODING=UTF-8 LANG=C.UTF-8 LC_ALL=C.UTF-8 WORKDIR / ARG TF_URL="https://tensorflow-aws.s3-us-west-2.amazonaws.com/1.14/AmazonLinux/gpu/final/tensorflow-1.14.0-cp36-cp36m-linux_x86_64.whl" RUN ${PIP} --no-cache-dir install --upgrade pip setuptools # Some TF tools expect a "python" binary RUN ln -s $(which ${PYTHON}) /usr/local/bin/python ARG framework_support_installable=sagemaker_tensorflow_container-2.0.0.tar.gz COPY $framework_support_installable . RUN ${PIP} install --no-cache-dir -U \ numpy==1.16.4 \ scipy==1.2.2 \ scikit-learn==0.20.3 \ pandas==0.24.2 \ Pillow==6.1.0 \ h5py==2.9.0 \ keras_applications==1.0.8 \ keras_preprocessing==1.1.0 \ requests==2.22.0 \ keras==2.2.4 \ awscli==1.16.196 \ mpi4py==3.0.2 \ "sagemaker-tensorflow>=1.14,<1.15" \ # 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 --no-cache-dir -U $framework_support_installable && \ rm -f $framework_support_installable \ && ${PIP} uninstall -y --no-cache-dir \ markdown # Pin GCC to 4.9 (priority 200) to compile correctly against TensorFlow, PyTorch, and MXNet with horovod # Backup existing GCC installation as priority 100, so that it can be recovered later. RUN update-alternatives --install /usr/bin/gcc gcc $(readlink -f $(which gcc)) 100 && \ update-alternatives --install /usr/bin/x86_64-linux-gnu-gcc x86_64-linux-gnu-gcc $(readlink -f $(which gcc)) 100 && \ update-alternatives --install /usr/bin/g++ g++ $(readlink -f $(which g++)) 100 && \ update-alternatives --install /usr/bin/x86_64-linux-gnu-g++ x86_64-linux-gnu-g++ $(readlink -f $(which g++)) 100 RUN update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.9 200 && \ update-alternatives --install /usr/bin/x86_64-linux-gnu-gcc x86_64-linux-gnu-gcc /usr/bin/gcc-4.9 200 && \ update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-4.9 200 && \ update-alternatives --install /usr/bin/x86_64-linux-gnu-g++ x86_64-linux-gnu-g++ /usr/bin/g++-4.9 200 # Install Horovod, temporarily using CUDA stubs RUN ldconfig /usr/local/cuda-10.0/targets/x86_64-linux/lib/stubs && \ HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_WITH_TENSORFLOW=1 ${PIP} install --no-cache-dir horovod==0.16.4 && \ ldconfig # Remove GCC pinning RUN update-alternatives --remove gcc /usr/bin/gcc-4.9 && \ update-alternatives --remove x86_64-linux-gnu-gcc /usr/bin/gcc-4.9 && \ update-alternatives --remove g++ /usr/bin/g++-4.9 && \ update-alternatives --remove x86_64-linux-gnu-g++ /usr/bin/g++-4.9 # Allow OpenSSH to talk to containers without asking for confirmation RUN cat /etc/ssh/ssh_config | grep -v StrictHostKeyChecking > /etc/ssh/ssh_config.new && \ echo " StrictHostKeyChecking no" >> /etc/ssh/ssh_config.new && \ mv /etc/ssh/ssh_config.new /etc/ssh/ssh_config ENV SAGEMAKER_TRAINING_MODULE sagemaker_tensorflow_container.training:main CMD ["bin/bash"]