Fixing some helm lint issues.

Change-Id: I6d62bcd10c60c422aaeb146078aee1b162838926
Issue-ID: ONAPARC-450
Signed-off-by: Rajamohan Raj <rajamohan.raj@intel.com>

1 files changed, 0 insertions, 142 deletions

diff --git a/vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile b/vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile
deleted file mode 100644
index 8bdcf5b6..00000000
--- a/vnfs/DAaaS/applications/charts/sample-horovod-app/Dockerfile
+++ /dev/null
@@ -1,142 +0,0 @@
-# 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