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Dockerfile.fedora27gpu
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Dockerfile.fedora27gpu
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FROM registry.fedoraproject.org/f27/s2i-core
MAINTAINER Subin Modeel <[email protected]>
USER root
ENV BUILDER_VERSION 1.0
LABEL io.k8s.description="S2I builder for Tensorflow binaries." \
io.k8s.display-name="Tensorflow BUILD" \
io.openshift.expose-services="8080:http" \
io.openshift.tags="builder,python,tf-build" \
io.openshift.s2i.scripts-url="image:///usr/libexec/s2i"
############################################
## taken from base
## https://hub.docker.com/r/nvidia/cuda/
############################################
RUN NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \
curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/rhel7/x86_64/7fa2af80.pub | sed '/^Version/d' > /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA && \
echo "$NVIDIA_GPGKEY_SUM /etc/pki/rpm-gpg/RPM-GPG-KEY-NVIDIA" | sha256sum -c --strict -
COPY cuda.repo /etc/yum.repos.d/cuda.repo
ENV CUDA_VERSION 9.2.148
ENV CUDA_PKG_VERSION 9-2-$CUDA_VERSION-1
RUN yum install -y \
cuda-cudart-$CUDA_PKG_VERSION && \
ln -s cuda-9.2 /usr/local/cuda && \
rm -rf /var/cache/yum/*
##------------------------
## taken from devel
##------------------------
ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs
##========================
##------------------------
## taken from runtime
##------------------------
ENV CUDNN_VERSION 7.1.4.18
LABEL com.nvidia.cudnn.version="${CUDNN_VERSION}"
##========================
# nvidia-docker 1.0
LABEL com.nvidia.volumes.needed="nvidia_driver"
LABEL com.nvidia.cuda.version="${CUDA_VERSION}"
RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \
echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf
ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH}
ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64
# nvidia-container-runtime
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV NVIDIA_REQUIRE_CUDA "cuda>=9.2"
##------------------------
## taken from tensorflow
##------------------------
ENV LD_LIBRARY_PATH /usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
ENV TF_CUDA_COMPUTE_CAPABILITIES=3.5,5.2,6.0,6.1,7.0
ENV TF_CUDA_VERSION=9.2
ENV TF_CUDNN_VERSION=7
# NCCL 2.x
ENV TF_NCCL_VERSION=2
##========================
############################################
# DONOT change the location of the following ENVs
ENV CUDA_HOME="/usr/local/cuda"
ENV CUDA_PATH="/usr/local/cuda"
ENV PATH="/usr/local/cuda/bin${PATH:+:${PATH}}"
ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}";
ENV LD_LIBRARY_PATH="/usr/local/cuda/lib64/stubs/:$LD_LIBRARY_PATH"
# DONOT uncomment. uncomment for dev.
ARG BAZEL_VERSION=0.15.0
ARG NB_PYTHON_VER=3.6
ENV BAZEL_VERSION=$BAZEL_VERSION
ENV NB_PYTHON_VER=$NB_PYTHON_VER
# Not essential, but wise to set the lang
# Note: Users with other languages should set this in their derivative image
ENV LANGUAGE en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LC_ALL=""
ENV PYTHONIOENCODING UTF-8
ENV NB_USER=default
ENV NB_UID=1001
#### ENV NB_PYTHON_VER=DONOT UNCOMMENT
ENV PYTHON_BIN_PATH=/usr/bin/python
ENV TINI_VERSION=v0.16.1
## Bazel
ENV PYTHON_LIB_PATH=/usr/lib64/python$NB_PYTHON_VER/site-packages
ENV LD_LIBRARY_PATH="/usr/local/lib${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}";
ENV BAZELRC /root/.bazelrc
#### ENV BAZEL_VERSION = DONOT UNCOMMENT
################################################
## Tensorflow ./configure options for Bazel
################################################
ENV PYTHON_BIN_PATH=/usr/bin/python$NB_PYTHON_VER
ENV CC_OPT_FLAGS -march=native
ENV TF_NEED_JEMALLOC 1
ENV TF_NEED_GCP 0
ENV TF_NEED_VERBS 0
ENV TF_NEED_HDFS 0
ENV TF_ENABLE_XLA 0
ENV TF_NEED_OPENCL 0
ENV TF_NEED_CUDA 0
ENV TF_NEED_MPI 0
ENV TF_NEED_GDR 0
ENV TF_NEED_S3 0
ENV TF_NEED_KAFKA 0
ENV TF_NEED_OPENCL_SYCL 0
ENV TF_DOWNLOAD_CLANG 0
ENV TF_SET_ANDROID_WORKSPACE 0
ENV PATH /usr/local/bin:$PATH:/home/default/.local/bin
ENV JAVA_HOME /usr/lib/jvm/java-1.8.0-openjdk-1.8.0*
RUN echo 'PS1="\u@\h:\w\\$ \[$(tput sgr0)\]"' >> /root/.bashrc \
&& if [ "$NB_PYTHON_VER" = "2.7" ] ; then yum install -y python27 python-devel && rm -fr /usr/bin/python && ln -s /usr/bin/python2.7 /usr/bin/python ; fi \
&& if [ "$NB_PYTHON_VER" = "3.5" ] ; then yum install -y python35 python3-devel && rm -fr /usr/bin/python && ln -s /usr/bin/python3.5 /usr/bin/python; fi \
&& if [ "$NB_PYTHON_VER" = "3.6" ] ; then yum install -y python36 python3-devel && rm -fr /usr/bin/python && ln -s /usr/bin/python3.6 /usr/bin/python; fi \
&& dnf install -y tar tree which git curl wget java-headless bzip2 gnupg2 sqlite protobuf-compiler \
&& chgrp -R root /opt \
&& chmod -R a+rwx /opt \
&& chmod a+rw /etc/passwd \
&& curl "https://bootstrap.pypa.io/get-pip.py" -o "get-pip.py" \
&& python$NB_PYTHON_VER get-pip.py \
&& dnf install -y gcc gcc-c++ glibc-devel openssl-devel gpg \
&& dnf install -y which findutils x86info cpuid dmidecode procps \
&& dnf install -y kernel-devel make automake autoconf swig zip unzip xz libtool binutils \
&& dnf install -y freetype-devel libpng12-devel zlib-devel giflib-devel zeromq-devel \
&& dnf install -y libxml2 libxml2-devel libxslt libxslt-devel gzip \
&& dnf install -y java-1.8.0-openjdk java-1.8.0-openjdk-devel patch gdb file pciutils cmake \
#########################
## taken from runtime
#########################
&& yum install -y cuda-libraries-$CUDA_PKG_VERSION cuda-nvtx-$CUDA_PKG_VERSION \
#########################
## taken from devel
#########################
&& yum install -y cuda-libraries-dev-$CUDA_PKG_VERSION cuda-nvml-dev-$CUDA_PKG_VERSION cuda-minimal-build-$CUDA_PKG_VERSION cuda-command-line-tools-$CUDA_PKG_VERSION \
&& rm -rf /var/cache/yum/* \
#########################
## taken from runtime
#########################
&& CUDNN_DOWNLOAD_SUM=f875340f812b942408098e4c9807cb4f8bdaea0db7c48613acece10c7c827101 \
&& curl -fsSL http://developer.download.nvidia.com/compute/redist/cudnn/v7.1.4/cudnn-9.2-linux-x64-v7.1.tgz -O \
&& echo "$CUDNN_DOWNLOAD_SUM cudnn-9.2-linux-x64-v7.1.tgz" | sha256sum -c - \
&& mkdir -p /usr/local/cudnn \
&& tar --no-same-owner -xzf cudnn-9.2-linux-x64-v7.1.tgz -C /usr/local/cudnn --strip-components 1 \
&& ln -s /usr/local/cudnn/include/cudnn.h /usr/local/cuda/include/cudnn.h \
&& cp /usr/local/cudnn/lib64/* /usr/local/cuda/lib64 \
&& rm cudnn-9.2-linux-x64-v7.1.tgz \
&& ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 \
&& ldconfig \
#########################
## taken from tf
#########################
## https://tech.amikelive.com/node-735/how-to-install-nvidia-collective-communications-library-nccl-2-for-tensorflow-on-ubuntu-16-04/
&& mkdir -p /usr/local/nccl-2.2 \
&& wget http://file.rdu.redhat.com/~smodeel/nccl_2.2.13-1+cuda9.2_x86_64.txz -P /usr/local/nccl-2.2/ \
&& unxz /usr/local/nccl-2.2/nccl_2.2.13-1+cuda9.2_x86_64.txz \
&& tar -xvf /usr/local/nccl-2.2/nccl_2.2.13-1+cuda9.2_x86_64.tar -C /usr/local/nccl-2.2/ --strip-components 1 \
&& export LD_LIBRARY_PATH="/usr/local/nccl-2.2:/usr/local/cuda-9.2${LD_LIBRARY_PATH:+:${LD_LIBRARY_PATH}}" \
&& ln -s /usr/local/nccl-2.2/include/nccl.h /usr/include/nccl.h \
&& ln -s /usr/local/nccl-2.2/include/nccl.h /usr/local/cuda/include/nccl.h \
## Link NCCL libray and header where the build script expects them. \
&& mkdir -p /usr/local/cuda-9.2/lib \
&& ln -s /usr/lib/nccl-2.2/lib/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 \
#########################
&& mkdir -p /home/$NB_USER/.ssh \
&& echo 'alias ll="ls -l"' >> /home/$NB_USER/.bashrc \
&& ssh-keyscan pagure.io >> /home/$NB_USER/.ssh/known_hosts \
&& wget -q https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini -P /tmp \
&& wget -q https://github.com/krallin/tini/releases/download/${TINI_VERSION}/tini.asc -P /tmp \
&& cd /tmp \
&& gpg --keyserver ha.pool.sks-keyservers.net --recv-keys 0527A9B7 && gpg --verify /tmp/tini.asc \
&& mv /tmp/tini /usr/local/bin/tini \
&& chmod +x /usr/local/bin/tini \
&& chown -R 1001:1001 /opt/app-root \
&& chgrp -R root /opt/app-root \
&& chmod -R ug+rwx /opt/app-root \
&& echo "startup --batch" >>/etc/.bazelrc \
&& echo "startup --batch" >>/root/.bazelrc \
&& echo "build --spawn_strategy=standalone --genrule_strategy=standalone" >>/etc/.bazelrc \
&& echo "build --spawn_strategy=standalone --genrule_strategy=standalone" >>/root/.bazelrc
#https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/ci_build/install/.bazelrc
# Running bazel inside a `docker build` command causes trouble, cf:
# https://github.com/bazelbuild/bazel/issues/134
# The easiest solution is to set up a bazelrc file forcing --batch.
# Similarly, we need to workaround sandboxing issues:
# https://github.com/bazelbuild/bazel/issues/418
#
# A cloned repo is found under serving folder
#Size of bazel-$BAZEL_VERSION-installer-linux-x86_64.sh is 200MB+
# downloaded file is available under bazel folder
# No yum commands here
# removed python to fix numpy issue
RUN mkdir -p /tf \
&& pip install --no-cache-dir --upgrade pip \
&& pip install --no-cache-dir -U setuptools \
&& pip install --no-cache-dir enum34 futures mock numpy six pixiedust pillow pyyaml \
&& mkdir -p /tf/tools \
&& cd /tf/tools \
&& wget -q https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh \
&& ls -l /tf/tools \
&& chmod +x bazel-$BAZEL_VERSION-installer-linux-x86_64.sh \
&& ./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh \
&& bazel \
&& usermod -g root $NB_USER \
&& mkdir -p /workspace \
&& chown $NB_UID:root /workspace \
&& chmod 1777 /workspace \
&& mkdir -p /home/$NB_USER \
&& chown -R $NB_UID:root /home/$NB_USER \
&& chmod g+rwX,o+rX -R /home/$NB_USER
COPY ./s2i/bin/ /usr/libexec/s2i
ADD test/ /tmp/test/
ADD entrypoint /entrypoint
RUN chmod +x /entrypoint
ADD build_tools /build_tools
# NO CLEANUP
# Donot add below commands
# && yum erase -y gcc gcc-c++ glibc-devel \
# && yum clean all -y \
EXPOSE 8080
ENV HOME /home/$NB_USER
# This default user is created in the openshift/base-centos7 image
USER 1001
# Make the default PWD somewhere that the user can write. This is
# useful when connecting with 'oc run' and starting a 'spark-shell',
# which will likely try to create files and directories in PWD and
# error out if it cannot.
WORKDIR /workspace
ENTRYPOINT ["/entrypoint"]
# TODO: Set the default CMD for the image
CMD ["/usr/libexec/s2i/usage"]