This article will guide you to create an environment using Miniconda run a python script using Slurm script on a LANTA HPC system.
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Using Miniconda via Easybuild
Load Miniconda module
Use the
ml av Minicondacommand to see which version of Miniconda is available on the LANTA HPC system.Use the
ml Miniconda3/xx.xx.xcommand 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 (tensorflow-2.6.0) username@lanta:~> |
Creating an environment in the user’s home
Create an environment
Use the conda create -n myenv commands to create the conda environment with myenv name.
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username@lanta:~> conda create -n myenv python=3.9 username@lanta:~> conda create -n myenv python=3.9 scipy=0.17.3 |
Creating an environment in the project’s home
Specify a location for an environment
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username@lanta:~> conda activate /your project directory/envs |
Creating an environment from an environment.yml file
A simple environment.yml file
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username@lanta:~> conda env create -f environment.yml --prefix /your project directory/envs |
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