FROM ubuntu:20.04 LABEL maintainer="Amazon AI" LABEL dlc_major_version="1" ARG PYTHON=python3 # Add arguments to achieve the version, python and url ARG PYTHON_VERSION=3.8.10 ARG OPEN_MPI_VERSION=4.0.1 # The smdebug pipeline relies for following format to perform string replace and trigger DLC pipeline for validating # the nightly builds. Therefore, while updating the smdebug version, please ensure that the format is not disturbed. ARG SMDEBUG_VERSION=1.0.9 # This arg required to stop docker build waiting for region configuration while installing tz data from ubuntu 20 ARG DEBIAN_FRONTEND=noninteractive # Python won’t try to write .pyc or .pyo files on the import of source modules # Force stdin, stdout and stderr to be totally unbuffered. Good for logging ENV PYTHONDONTWRITEBYTECODE=1 ENV PYTHONUNBUFFERED=1 ENV PYTHONIOENCODING=UTF-8 ENV LANG=C.UTF-8 ENV LC_ALL=C.UTF-8 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/lib" ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/opt/conda/lib" ENV PATH=/opt/conda/bin:$PATH ENV SAGEMAKER_TRAINING_MODULE=sagemaker_pytorch_container.training:main ENV DGLBACKEND=pytorch ARG PT_TRAINING_URL=https://aws-pytorch-cicd-v3-binaries.s3.us-west-2.amazonaws.com/r1.9.1_aws_v3/20210925-173424/7b75a1ebbf2ad37219e1a59da150faa89c2a455e/cpu/torch-1.9.1-cp38-cp38-manylinux1_x86_64.whl ARG PT_TORCHVISION_URL=https://aws-pytorch-cicd-v3-binaries.s3.us-west-2.amazonaws.com/r1.9.1_aws_v3/torchvision/cpu/torchvision-0.10.1%2Bcpu-cp38-cp38-manylinux1_x86_64.whl ARG PT_S3_WHL=https://aws-s3-plugin.s3.us-west-2.amazonaws.com/binaries/0.0.1/1c3e69e/awsio-0.0.1-cp38-cp38-manylinux1_x86_64.whl WORKDIR / RUN apt-get update \ # TODO: Remove systemd upgrade once it is updated in base image && apt-get -y upgrade --only-upgrade systemd \ && apt-get install -y --no-install-recommends \ build-essential \ ca-certificates \ cmake \ curl \ emacs \ git \ jq \ libglib2.0-0 \ libgl1-mesa-glx \ libsm6 \ libxext6 \ libxrender-dev \ software-properties-common \ wget \ unzip \ vim \ zlib1g-dev \ && rm -rf /var/lib/apt/lists/* \ && apt-get clean RUN wget https://www.open-mpi.org/software/ompi/v4.0/downloads/openmpi-$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 # Copy workaround script for incorrect hostname COPY changehostname.c / COPY start_with_right_hostname.sh /usr/local/bin/start_with_right_hostname.sh # Install OpenSSH for MPI to communicate between containers, allow OpenSSH to talk to containers without asking for confirmation RUN apt-get update \ && apt-get install -y --no-install-recommends openssh-client openssh-server \ && mkdir -p /var/run/sshd \ && 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 \ && rm -rf /var/lib/apt/lists/* # Configure OpenSSH so that nodes can communicate with each other 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 RUN rm -rf /root/.ssh/ && \ 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 RUN curl -L -o ~/miniconda.sh 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 -c conda-forge \ python=$PYTHON_VERSION \ && /opt/conda/bin/conda install -y -c anaconda \ # conda 4.10.0 requires ruamel_yaml to be installed. Currently pinned at latest. ruamel_yaml==0.15.100 \ mkl \ mkl-include \ cython \ typing \ "pyopenssl>=17.5.0" \ && conda install -y \ scikit-learn \ pandas \ h5py \ requests \ && conda install -c dglteam -y dgl=0.6.1 \ && /opt/conda/bin/conda clean -ya \ && conda clean -ya # Conda installs links for libtinfo.so.6 and libtinfo.so.6.2 both # Which causes "/opt/conda/lib/libtinfo.so.6: no version information available" warning # Removing link for libtinfo.so.6. This change is needed only for ubuntu 20.04-conda, and can be reverted # once conda fixes the issue https://github.com/conda/conda/issues/9680 RUN rm -rf /opt/conda/lib/libtinfo.so.6 # The following section uninstalls torch and torchvision before installing the # custom versions from an S3 bucket. This will need to be removed in the future RUN pip install --upgrade pip --trusted-host pypi.org --trusted-host files.pythonhosted.org \ && ln -s /opt/conda/bin/pip /usr/local/bin/pip3 \ && pip install --no-cache-dir -U \ "pyyaml>=5.4,<5.5" \ numpy==1.22.2 \ ipython==8.0.1 \ opencv-python==4.5.2.54 \ "botocore>1.0,<2.0" \ "boto3>1.0,<2.0" \ "awscli<2" \ scipy \ click \ "cryptography>3.2" \ smdebug==${SMDEBUG_VERSION} \ smclarify \ "sagemaker>=2,<3" \ sagemaker-experiments==0.* \ "sagemaker-pytorch-training<3" \ psutil==5.6.7 \ "Pillow>=9.1.1" \ "urllib3>1.26.0<1.27.0" \ && pip uninstall -y torch \ && pip install --no-cache-dir -U ${PT_TRAINING_URL} \ && pip uninstall -y torchvision \ && pip install --no-deps --no-cache-dir -U ${PT_TORCHVISION_URL} # Install extra packages # numba 0.54 only works with numpy>=1.20. See https://github.com/numba/numba/issues/7339 RUN pip install --no-cache-dir -U \ "bokeh>=2.3,<3" \ "imageio>=2.9,<3" \ "opencv-python>=4.3,<5" \ "plotly>=5.1,<6" \ "seaborn>=0.11,<1" \ "numba<0.54" \ "shap>=0.39,<1" # Install PT S3 plugin RUN pip install -U ${PT_S3_WHL} RUN mkdir -p /etc/pki/tls/certs && cp /etc/ssl/certs/ca-certificates.crt /etc/pki/tls/certs/ca-bundle.crt COPY deep_learning_container.py /usr/local/bin/deep_learning_container.py RUN chmod +x /usr/local/bin/start_with_right_hostname.sh \ && 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} \ && rm -rf ${HOME_DIR}/oss_compliance* \ && rm -rf /tmp/tmp* RUN curl -o /license.txt https://aws-dlc-licenses.s3.amazonaws.com/pytorch-1.9/license.txt # Starts framework ENTRYPOINT ["bash", "-m", "start_with_right_hostname.sh"] CMD ["/bin/bash"]