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Dockerfile.gpu
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# Note: We need to install NCCL, cuDNN, and CUDA libraries since we are using base container.
FROM nvidia/cuda:10.1-base-ubuntu16.04
LABEL maintainer="Amazon AI"
ARG PYTHON=python3
ARG PIP=pip3
ARG PYTHON_VERSION=3.6.8
ARG MX_URL=https://aws-mxnet-pypi.s3-us-west-2.amazonaws.com/1.6.0/aws_mxnet_cu101mkl-1.6.0-py2.py3-none-manylinux1_x86_64.whl
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/lib" \
PYTHONIOENCODING=UTF-8 \
LANG=C.UTF-8 \
LC_ALL=C.UTF-8 \
SAGEMAKER_TRAINING_MODULE=sagemaker_mxnet_container.training:main \
DGLBACKEND=mxnet \
CUDNN_VERSION=7.6.0.64-1+cuda10.1 \
NCCL_VERSION=2.4.8-1+cuda10.1
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
software-properties-common \
build-essential \
ca-certificates \
libcudnn7=${CUDNN_VERSION} \
cuda-command-line-tools-10-1 \
cuda-cufft-10-1 \
cuda-curand-10-1 \
cuda-cusolver-10-1 \
cuda-cusparse-10-1 \
curl \
git \
libatlas-base-dev \
libcurl4-openssl-dev \
libnccl2=${NCCL_VERSION} \
libgomp1 \
libnccl-dev=${NCCL_VERSION} \
libopencv-dev \
openssh-client \
openssh-server \
vim \
wget \
zlib1g-dev \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
# Install cuda-dev libraries as a dependency for Horovod with MXNet backend
ENV CUDA_LIB_URL=https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64
RUN wget ${CUDA_LIB_URL}/libcublas10_10.2.1.243-1_amd64.deb \
${CUDA_LIB_URL}/libcublas-dev_10.2.1.243-1_amd64.deb \
${CUDA_LIB_URL}/cuda-curand-dev-10-1_10.1.243-1_amd64.deb \
${CUDA_LIB_URL}/cuda-cusolver-dev-10-1_10.1.243-1_amd64.deb \
${CUDA_LIB_URL}/cuda-nvrtc-10-1_10.1.243-1_amd64.deb \
${CUDA_LIB_URL}/cuda-nvrtc-dev-10-1_10.1.243-1_amd64.deb \
&& dpkg -i libcublas10_10.2.1.243-1_amd64.deb \
libcublas-dev_10.2.1.243-1_amd64.deb \
cuda-curand-dev-10-1_10.1.243-1_amd64.deb \
cuda-cusolver-dev-10-1_10.1.243-1_amd64.deb \
cuda-nvrtc-10-1_10.1.243-1_amd64.deb \
cuda-nvrtc-dev-10-1_10.1.243-1_amd64.deb \
&& apt-get install -f \
&& rm libcublas10_10.2.1.243-1_amd64.deb \
libcublas-dev_10.2.1.243-1_amd64.deb \
cuda-curand-dev-10-1_10.1.243-1_amd64.deb \
cuda-cusolver-dev-10-1_10.1.243-1_amd64.deb \
cuda-nvrtc-10-1_10.1.243-1_amd64.deb \
cuda-nvrtc-dev-10-1_10.1.243-1_amd64.deb
###########################################################################
# Horovod 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 $(nproc) all \
&& make install \
&& ldconfig \
&& rm -rf /tmp/openmpi
# Create a wrapper for OpenMPI to allow running as root by default
RUN mv /usr/local/bin/mpirun /usr/local/bin/mpirun.real \
&& echo '#!/bin/bash' > /usr/local/bin/mpirun \
&& echo 'mpirun.real --allow-run-as-root "$@"' >> /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:$PATH
RUN wget https://www.python.org/ftp/python/$PYTHON_VERSION/Python-$PYTHON_VERSION.tgz \
&& tar -xvf Python-$PYTHON_VERSION.tgz \
&& cd Python-$PYTHON_VERSION \
&& ./configure \
&& make \
&& make install \
&& apt-get update \
&& apt-get install -y --no-install-recommends \
libreadline-gplv2-dev \
libncursesw5-dev \
libssl-dev \
libsqlite3-dev \
libgdbm-dev \
libc6-dev \
libbz2-dev \
tk-dev \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/* \
&& make \
&& make install \
&& rm -rf ../Python-$PYTHON_VERSION* \
&& ln -s /usr/local/bin/pip3 /usr/bin/pip \
&& ln -s $(which ${PYTHON}) /usr/local/bin/python
# MXNet requires pip 19.3.1 due to being backwards compatible
# with python2
RUN ${PIP} --no-cache-dir install --upgrade \
pip==19.3.1 \
setuptools
WORKDIR /
# python-dateutil==2.8.0 to satisfy botocore associated with latest awscli
RUN ${PIP} install --no-cache --upgrade \
keras-mxnet==2.2.4.2 \
h5py==2.10.0 \
numpy==1.17.2 \
onnx==1.6.0 \
pandas==0.25.1 \
Pillow==7.1.0 \
requests==2.22.0 \
scikit-learn==0.20.4 \
scipy==1.2.2 \
dgl-cu101==0.4.1 \
gluonnlp==0.9.1 \
gluoncv==0.6.0 \
urllib3==1.25.8 \
python-dateutil==2.8.0 \
tqdm==4.39.0 \
smdebug==0.7.2 \
sagemaker-experiments==0.1.7 \
PyYAML==5.3.1 \
mpi4py==3.0.2 \
"sagemaker-mxnet-training<4" \
${MX_URL} \
sagemaker==1.50.17 \
awscli
# Install Horovod, temporarily using CUDA stubs
RUN ldconfig /usr/local/cuda-10.1/targets/x86_64-linux/lib/stubs \
&& HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_WITHOUT_TENSORFLOW=1 \
HOROVOD_WITHOUT_PYTORCH=1 HOROVOD_WITH_MXNET=1 pip install --no-cache-dir \
horovod==0.19.0 \
&& ldconfig
# 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
# "channels first" is recommended for keras-mxnet
# https://github.com/awslabs/keras-apache-mxnet/blob/master/docs/mxnet_backend/performance_guide.md#channels-first-image-data-format-for-cnn
RUN mkdir /root/.keras \
&& echo '{"image_data_format": "channels_first"}' > /root/.keras/keras.json
# This is here to make our installed version of OpenCV work.
# https://stackoverflow.com/questions/29274638/opencv-libdc1394-error-failed-to-initialize-libdc1394
# TODO: Should we be installing OpenCV in our image like this? Is there another way we can fix this?
RUN ln -s /dev/null /dev/raw1394
COPY dockerd-entrypoint.py /usr/local/bin/dockerd-entrypoint.py
RUN chmod +x /usr/local/bin/dockerd-entrypoint.py
RUN curl -o /license.txt https://aws-dlc-licenses.s3.amazonaws.com/aws-mxnet-1.6.0/license.txt
ENTRYPOINT ["python", "/usr/local/bin/dockerd-entrypoint.py"]
CMD ["/bin/bash"]