learning

Description

The learning module loads the prerequisites (such as anaconda and cudnn ) and makes ML applications visible to the user

Versions

  • Bell: conda-2020.11-py38-cpu

  • Brown: conda-5.1.0-py27-cpu, conda-5.1.0-py36-cpu

  • Scholar: conda-5.1.0-py27-cpu, conda-5.1.0-py27-gpu, conda-5.1.0-py36-cpu, conda-5.1.0-py36-gpu

  • Gilbreth: conda-5.1.0-py27-cpu, conda-5.1.0-py27-gpu, conda-5.1.0-py36-cpu, conda-5.1.0-py36-gpu, conda-2020.11-py38-cpu, conda-2020.11-py38-gpu

  • Anvil: conda-2021.05-py38-gpu

  • Workbench: conda-5.1.0-py27-cpu, conda-5.1.0-py36-cpu

Module

You can load the modules by:

module load learning

Example job

This is the example jobscript for our cluster Gilbreth:

#!/bin/bash
#SBATCH -A myallocation     # Allocation name
#SBATCH -t 20:00:00
#SBATCH -N 1
#SBATCH -n 10
#SBATCH --gpus-per-node=1
#SBATCH -p PartitionName
#SBATCH --job-name=learning
#SBATCH --mail-type=FAIL,BEGIN,END
#SBATCH --error=%x-%J-%u.err
#SBATCH --output=%x-%J-%u.out


module --force purge
module load learning/conda-2020.11-py38-gpu
module load ml-toolkit-gpu/pytorch/1.7.1

python torch.py