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This page relates to if users wish to install Miniconda3 locally, instead of using the provide module on our clusters. |
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Yes. You can install miniconda3 (and other applications) yourself. There is nothing wrong or against policy with this. |
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If you do install it, please make sure you:
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Since you are intentionally effecting your environment, you need to take a level of responsibility to mange and work with this. |
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Should I Install Miniconda3 Locally?
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Ask yourself “what does a local installation benefit me over using the provided miniconda3 module?”
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There are might be reasons why you might need to install this yourself, just make sure you can communicate why, and that you understand what you are doing to your environment - and take responsibility for this. If you can not answer this, then use the version that ARCC provides as a |
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If you can answer this, please be prepared to answer the next question. |
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If you can not answer this, then ARCC will suggest that your uninstall this and use the provide miniconda3 module.
We support this module and understand how it should be working and can typically resolve your issues.
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How Do I Know if Miniconda3 Has Been Installed Locally?
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Step 3: On the start of your next session, the command prompt should return to normal:
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Job Submission Error
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We can not guarantee that what ever conda environments you have activate on the login nodes will be inherited when you submit a job using You will errors of the form:
within the slurm output you will see:
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ARCC recommends using the versions of miniconda3 provided as a module, and use a submission script of the form:
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ARCC Related Conda Workshops
Before moving forward, ARCC has the following workshops
Intro to Using Conda - beginners.
Using Python, Conda and Pip on the Cluster - intermediate level.
We would highly recommend working through at least the first one to understand how to use conda effectively.