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

Using Miniconda via Easybuild

Load Miniconda

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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

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Activate your environment

1. Use the conda env list command to view a list of your environments.

2. If you want to activate your environment such as tensorflowTensorFlow-2.6.0, you can use the conda activate tensorflow-2.6.0 command.

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 to run the Jupyter Notebook

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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(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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