Lightning 2.2.1-foss-2023a

The deep learning framework to pretrain, finetune and deploy AI models. Lightning has 4 core packages: PyTorch Lightning: Train and deploy PyTorch at scale. Lightning Fabric: Expert control. Lightning Data: Blazing fast, distributed streaming of training data from cloud storage. Lightning Apps: Build AI products and ML workflows.

Accessing Lightning 2.2.1-foss-2023a

To load the module for Lightning 2.2.1-foss-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load Lightning/2.2.1-foss-2023a

There is a GPU enabled version of this module: Lightning 2.2.1-foss-2023a-CUDA-12.1.1

BEAR Apps Version

2023a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

More Information

For more information visit the Lightning website.

Dependencies

This version of Lightning has a direct dependency on: foss/2023a Python/3.11.3-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a PyTorch-Lightning/2.2.1-foss-2023a

Required By

This version of Lightning is a direct dependent of: TorchGeo/0.6.0-foss-2023a

Other Versions

These versions of Lightning are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 4th September 2024