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118 changes: 118 additions & 0 deletions docker/1.15.2/py2/Dockerfile.cpu
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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/1.15.2/AmazonLinux/cpu/final/tensorflow-1.15.2-cp27-cp27mu-manylinux2010_x86_64.whl

RUN apt-get update \
&& apt-get install -y --no-install-recommends \
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 /

RUN apt-get update \
&& apt-get install -y \
python \
python-pip

COPY $FRAMEWORK_SUPPORT_INSTALLABLE .

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

RUN pip install --no-cache-dir -U \
numpy==1.16.5 \
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 \
requests==2.22.0 \
keras==2.3.1 \
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 --no-cache-dir -U \
$FRAMEWORK_SUPPORT_INSTALLABLE \
awscli\
&& rm -f $FRAMEWORK_SUPPORT_INSTALLABLE \
&& pip install --no-cache-dir -U \
horovod==0.18.2

RUN curl https://aws-dlc-licenses.s3.amazonaws.com/tensorflow/license.txt -o /license.txt

CMD ["bin/bash"]
160 changes: 160 additions & 0 deletions docker/1.15.2/py2/Dockerfile.gpu
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# Nvidia does not publish a TensorRT Runtime library for Ubuntu 18.04 with Cuda 10.1 support, so we stick with cuda 10.0.
# https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/
FROM nvidia/cuda:10.0-base-ubuntu18.04

LABEL maintainer="Amazon AI"

# Prevent docker build get stopped by requesting user interaction
ENV DEBIAN_FRONTEND=noninteractive
ENV DEBCONF_NONINTERACTIVE_SEEN=true
# 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/1.15.2/AmazonLinux/gpu/final/tensorflow_gpu-1.15.2-cp27-cp27mu-manylinux2010_x86_64.whl

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 \
libnccl-dev=2.4.7-1+cuda10.0 \
libfreetype6-dev \
libhdf5-serial-dev \
libpng-dev \
libzmq3-dev \
git \
wget \
vim \
build-essential \
openssh-client \
openssh-server \
zlib1g-dev \
# The 'apt-get install' of nvinfer-runtime-trt-repo-ubuntu1804-5.0.2-ga-cuda10.0
# 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-ubuntu1804-5.0.2-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

# 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

RUN apt-get update \
&& apt-get install -y \
python \
python-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

WORKDIR /

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

COPY $FRAMEWORK_SUPPORT_INSTALLABLE .

RUN pip install --no-cache-dir -U \
numpy==1.16.5 \
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 \
requests==2.22.0 \
keras==2.3.1 \
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 --no-cache-dir -U \
$FRAMEWORK_SUPPORT_INSTALLABLE \
awscli\
&& rm -f $FRAMEWORK_SUPPORT_INSTALLABLE

# Install Horovod, temporarily using CUDA stubs
RUN ldconfig /usr/local/cuda/targets/x86_64-linux/lib/stubs \
&& HOROVOD_GPU_ALLREDUCE=NCCL HOROVOD_WITH_TENSORFLOW=1 pip install --no-cache-dir \
horovod==0.18.2 \
&& 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

RUN curl https://aws-dlc-licenses.s3.amazonaws.com/tensorflow/license.txt -o /license.txt

CMD ["bin/bash"]
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