49 lines
2.1 KiB
Docker
49 lines
2.1 KiB
Docker
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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ARG FROM_IMAGE_NAME=nvcr.io/nvidia/tensorflow:20.06-tf1-py3
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FROM ${FROM_IMAGE_NAME}
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USER root
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# Spark dependencies
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ENV APACHE_SPARK_VERSION 2.3.1
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ENV HADOOP_VERSION 2.7
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RUN apt-get -y update && \
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apt-get install --no-install-recommends -y openjdk-8-jre-headless ca-certificates-java && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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RUN cd /tmp && \
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wget -q http://archive.apache.org/dist/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz && \
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echo "DC3A97F3D99791D363E4F70A622B84D6E313BD852F6FDBC777D31EAB44CBC112CEEAA20F7BF835492FB654F48AE57E9969F93D3B0E6EC92076D1C5E1B40B4696 *spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz" | sha512sum -c - && \
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tar xzf spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz -C /usr/local --owner root --group root --no-same-owner && \
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rm spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz
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RUN cd /usr/local && ln -s spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION} spark
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# Spark config
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ENV SPARK_HOME /usr/local/spark
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ENV PYTHONPATH $SPARK_HOME/python:$SPARK_HOME/python/lib/py4j-0.10.7-src.zip
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ENV SPARK_OPTS --driver-java-options=-Xms1024M --driver-java-options=-Xmx4096M --driver-java-options=-Dlog4j.logLevel=info
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RUN pip install pyspark==2.3.1
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RUN pip install --no-deps tensorflow-transform apache-beam==2.14 tensorflow-metadata==0.14.0 pydot dill
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RUN pip install ipdb
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RUN pip install -e git://github.com/NVIDIA/dllogger#egg=dllogger
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WORKDIR /wd
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COPY . .
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