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| -rw-r--r-- | vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile | 142 |
1 files changed, 142 insertions, 0 deletions
diff --git a/vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile b/vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile index e69de29b..8bdcf5b6 100644 --- a/vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile +++ b/vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile @@ -0,0 +1,142 @@ +# Copyright (c) 2019 Intel Corporation +# Licensed to the Apache Software Foundation (ASF) under one or more +# contributor license agreements. See the NOTICE file distributed with +# this work for additional information regarding copyright ownership. +# The ASF licenses this file to You under the Apache License, Version 2.0 +# (the "License"); you may not use this file except in compliance with +# the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. +# + +# Ported kubernetes spark image to Ubuntu + +FROM ubuntu:18.04 + +# Install jdk +RUN apt update -yqq +RUN apt install -y locales openjdk-8-jdk && rm -rf /var/lib/apt/lists/* \ + && localedef -i en_US -c -f UTF-8 -A /usr/share/locale/locale.alias en_US.UTF-8 + +# Install all the essentials +RUN apt-get update --fix-missing && \ + apt-get install -y numactl wget curl bzip2 nmap vim ca-certificates libglib2.0-0 libxext6 libsm6 libxrender1 \ + git mercurial subversion build-essential openssh-server openssh-client net-tools && \ + mkdir -p /var/run/sshd && \ + apt-get clean && \ + rm -rf /var/lib/apt/lists/* + +ENV LANG en_US.utf8 +ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64 +ENV PATH $JAVA_HOME/bin:$PATH +ENV PATH /opt/conda/bin:/opt/spark/bin:$PATH +ENV OPENMPI_VERSION 3.1 + +# Install openMPI +RUN mkdir /tmp/openmpi && \ + cd /tmp/openmpi && \ + wget --quiet https://www.open-mpi.org/software/ompi/v${OPENMPI_VERSION}/downloads/openmpi-${OPENMPI_VERSION}.2.tar.gz -O openmpi.tar.gz && \ + tar zxf openmpi.tar.gz && \ + cd openmpi-3.1.2 && \ + ./configure --enable-orterun-prefix-by-default && \ + make -j $(nproc) all && \ + make install && \ + ldconfig && \ + rm -rf /tmp/openmpi + +# Install miniconda +RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh && \ + /bin/bash ~/miniconda.sh -b -p /opt/conda && \ + rm ~/miniconda.sh && \ + ln -s /opt/conda/etc/profile.d/conda.sh /etc/profile.d/conda.sh && \ + echo ". /opt/conda/etc/profile.d/conda.sh" >> ~/.bashrc && \ + echo "conda activate base" >> ~/.bashrc + +# Install tf & keras using conda in the virtual_environment:tf_env +SHELL ["/bin/bash", "-c"] +RUN conda update -n base -c defaults conda && \ + conda create -n tf_env +RUN conda install -n tf_env -y -c anaconda \ + pip tensorflow keras nltk pyarrow +RUN conda install -n tf_env -y -c anaconda h5py + +RUN conda install -n tf_env -y -c pytorch pytorch-cpu +RUN conda install -n tf_env -y -c conda-forge matplotlib + +RUN echo "conda activate tf_env" >> ~/.bashrc && \ + conda install -n tf_env -y -c conda-forge clangdev + +RUN source ~/.bashrc +RUN HOROVOD_WITH_TENSORFLOW=1 /opt/conda/envs/tf_env/bin/pip install --no-cache-dir horovod + +# openMPI sane defaults: +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 && \ + echo "btl_tcp_if_exclude = lo,docker0" >> /usr/local/etc/openmpi-mca-params.conf + +# 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 + +# Install tini +RUN apt-get install -y curl grep sed dpkg && \ + TINI_VERSION=`curl https://github.com/krallin/tini/releases/latest | grep -o "/v.*\"" | sed 's:^..\(.*\).$:\1:'` && echo ${TINI_VERSION} && \ + curl -L "https://github.com/krallin/tini/releases/download/v${TINI_VERSION}/tini_${TINI_VERSION}.deb" > tini.deb && \ + dpkg -i tini.deb && \ + rm tini.deb && \ + apt clean + +# This is needed to match the original entrypoint.sh file. +RUN cp /usr/bin/tini /sbin + +# Begin: Installing spark +ARG spark_jars=jars +ARG img_path=kubernetes/dockerfiles +ARG k8s_tests=kubernetes/tests + +# Before building the docker image, first build and make a Spark distribution following +# the instructions in http://spark.apache.org/docs/latest/building-spark.html. +# If this docker file is being used in the context of building your images from a Spark +# distribution, the docker build command should be invoked from the top level directory +# of the Spark distribution. E.g.: +# docker build -t spark:latest -f kubernetes/dockerfiles/spark/ubuntu18.04/Dockerfile . + +RUN mkdir -p /opt/spark && \ + mkdir -p /opt/spark/work-dir && \ + touch /opt/spark/RELEASE && \ + rm /bin/sh && \ + ln -sv /bin/bash /bin/sh && \ + echo "auth required pam_wheel.so use_uid" >> /etc/pam.d/su && \ + chgrp root /etc/passwd && chmod ug+rw /etc/passwd + + +COPY ${spark_jars} /opt/spark/jars +COPY bin /opt/spark/bin +COPY sbin /opt/spark/sbin +COPY ${img_path}/spark/entrypoint.sh /opt/ +COPY examples /opt/spark/examples +COPY ${k8s_tests} /opt/spark/tests +COPY data /opt/spark/data +ENV SPARK_HOME /opt/spark + +RUN mkdir /opt/spark/python +COPY python/pyspark /opt/spark/python/pyspark +COPY python/lib /opt/spark/python/lib +ENV PYTHONPATH /opt/spark/python/lib/pyspark.zip:/opt/spark/python/lib/py4j-*.zip +ENV PATH /opt/conda/envs/tf_env/bin:$PATH + +RUN echo "export PATH=/opt/conda/envs/tf_env/bin:$PATH" >> ~/.bashrc +# echo "activate tf_env\n" >> ~/.bashrc +RUN pip install petastorm +WORKDIR /opt/spark/work-dir + +ENTRYPOINT [ "/opt/entrypoint.sh" ] + +# End: Installing spark |