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This article will guide you to run a python Python script using Slurm script on a LANTA HPC system.

Table of Contents

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.

...

Slurm script example for running a Python script

Running on Compute node

Code Block
#!/bin/bash
#SBATCH -p compute                  # Specify partition [Compute/Memory/GPU]
#SBATCH -N 1 –c 128   			    # Specify number of nodes and processors per task
#SBATCH --ntasks-per-node=1		    # Specify tasks per node
#SBATCH -t 120:00:00                # Specify maximum time limit (hour: minute: second)
#SBATCH -A ltxxxxxx                 # Specify project name
#SBATCH -J JOBNAME                  # Specify job name

module purge				        # Unload all modules
module load Miniconda3/22.11.1-1

Activate your environment

...

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

...

    # Load the Miniconda3 module
conda activate tensorflow-2.6.0

...

Code Block
username@lanta:~> conda env list
# conda environments:
#
base		# Activate your environment

python3 file.py                     # Run your program or executable /lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1
netcdf-py39code

Running on GPU node

Code Block
#!/bin/bash
#SBATCH -p gpu                      # Specify partition [Compute/lustrefs/disk/modules/easybuild/software/Miniconda3/22.11.1-1/envs/netcdf-py39
pytorch-1.11.0  Memory/GPU]
#SBATCH -N 1 –c 16   			    # Specify number of  /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.

Code Block
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
...
username@lanta:~> 

Create an environment with a specific version of the packages

Code Block
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

Code Block
username@lanta:~> conda create --prefix /your project directory/envs

Specify a location for an environment with a specific version of the packages

Code Block
username@lanta:~> conda create --prefix /your project directory/envs python=3.9

Activate your environment in the project’s home

Code Block
username@lanta:~> conda activate /your project directory/envs

Creating an environment from an environment.yml file

A simple environment.yml file

Code Block
name: test
dependencies:
  - python=3.9
  - numpy=1.23.1
  - pandas

Create the environment from the environment.yml file in the user’s home

Code Block
username@lanta:~> conda env create -f environment.yml

Create the environment from the environment.yml file in the project’s home

Code Block
username@lanta:~> conda env create -f environment.yml --prefix /your project directory/envsnodes and processors per task
#SBATCH --gpus-per-task=1		    # Specify number of GPU per task
#SBATCH --ntasks-per-node=4		    # Specify tasks per node
#SBATCH -t 120:00:00                # Specify maximum time limit (hour: minute: second)
#SBATCH -A ltxxxxxx               	# Specify project name
#SBATCH -J JOBNAME               	# Specify job name

module purge				        # Unload all modules
module load Miniconda3/22.11.1-1    # Load the Miniconda3 module
conda activate tensorflow-2.6.0		# Activate your environment

python3 file.py                     # Run your program or executable code

Submit a job

Use the sbatch script.sh commands to submit your job to Slurm system.

Code Block
username@lanta:~> sbatch script.sh

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