torchlars 0.1.2-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0

A LARS (Layer-wise Adaptive Rate Scaling) implementation in PyTorch.

Accessing torchlars 0.1.2-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0

To load the module for torchlars 0.1.2-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load torchlars/0.1.2-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0

BEAR Apps Version

2021a

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — 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 torchlars website.

Dependencies

This version of torchlars has a direct dependency on: CUDA/11.3.1 foss/2021a Python/3.9.5-GCCcore-10.3.0 PyTorch/1.10.0-foss-2021a-CUDA-11.3.1

Last modified on 15th January 2024