This article will guide you to create an environment using Miniconda on a LANTA HPC system.

Using Miniconda via Easybuild

Load Miniconda module

1. Use the ml av Miniconda command to see which version of Miniconda is available on the LANTA HPC system.

2. Use the ml Miniconda3/xx.xx.x command to load the Miniconda version that you want to use. If you don't specify a version, the default version (D) is loaded, which is Miniconda3/22.11.1-1.

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username@lanta:~> conda env list
# conda environments:
#
base                     /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1
netcdf-py39              /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1/envs/netcdf-py39
pytorch-1.11.0           /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1/envs/pytorch-1.11.0
tensorflow-2.6.0         /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1/envs/tensorflow-2.6.0
username@lanta:~> conda activate tensorflow-2.6.0

Creating an environment

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Load Miniconda module

1. Use the ml av Miniconda command to see which version of Miniconda is available on the LANTA HPC system.

2. Use the ml Miniconda3/xx.xx.x command to load the Miniconda version that you want to use. If you don't specify a version, the default version (D) is loaded, which is Miniconda3/22.11.1-1.

username@lanta:~> ml av Miniconda
---------------------- /lustrefs/disk/modules/easybuild/modules/all -----------------------
   Miniconda3/22.11.1-1

Use "module spider" to find all possible modules and extensions.
Use "module keyword key1 key2 ..." to search for all possible modules matching any of the "keys".
username@lanta:~> ml Miniconda3/22.11.1-1

Create an environment

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Use the conda create -n myenv commands to create the conda environment with myenv name.

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in the user’s home

Create an environment

Use the conda create -n myenv commands to create the conda environment with myenv name.

username@lanta:~> conda create -n myenv
Collecting package metadata (current_repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /your directory/envs/myenv

Proceed ([y]/n)? y
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username@lanta:~> conda activate myenv
(myenv) username@lanta:~> 

Create an environment with a specific version of the packages

Install Jupyter and other packages in the myenv environment

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(myenv) username@lanta:~> conda install jupyter
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(myenv) username@lanta:~> conda install -c anaconda tensorflow-gpu
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Running Jupyter Notebook via ssh tunneling

Example script for running Jupyter Notebook

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http://127.0.0.1:8714/?token=2923d6fab4ef109f30e63a77014e632eed3fd2a5fa561929

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