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Running Tensorflow on Comet Using Singularityīelow is a typical list of commands you would need to issue in order to implement a functional Python installation for scientific research:ĬOMMAND=apt-get -y install libx11-dev COMMAND=apt-get install build-essential python-libdev COMMAND=apt-get install build-essential openmpi-dev COMMAND=apt-get install cmake COMMAND=apt-get install g++ COMMAND=apt-get install git-lfs COMMAND=apt-get install libXss.so.1 COMMAND=apt-get install libgdal1-dev libproj-dev COMMAND=apt-get install libjsoncpp-dev libjsoncpp0 COMMAND=apt-get install libmpich-dev -user COMMAND=apt-get install libpthread-stubs0 libpthread-stubs0-dev libx11-dev libx11-d COMMAND=apt-get install libudev0:i386 COMMAND=apt-get install numpy COMMAND=apt-get install python-matplotlib COMMAND=apt-get install python3.Running Singularity Containers on Comet.SDSC hosts a Github repository containing a ‘Hello world!” example which you may clone with the following command: You will also need access to a basic set of example files to get started. This tutorial assumes you already have an account on Comet.
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There are numerous tutorial on how to get started with Singularity, but there are some details specific to running Singularity on Comet which are not covered in those tutorials. First we will review how to access a compute node on Comet and provide a simple example to help get you started. In this tutorial you will learn how to run Singularity on Comet. There are numerous good tutorials on how to install and run Singularity on Linux, OS X, or Windows so we won't go into much detail on that process here. This means that you don’t have to ask your cluster admin to install anything for you - you can put it in a Singularity container and run." Singularity containers can be used to package entire scientific workflows, software and libraries, and even data. "Singularity enables users to have full control of their environment. Statistics, Machine Learning & Predictive Analytics.