YACS 0.1.8-GCCcore-10.3.0

YACS was created as a lightweight library to define and manage system configurations, such as those commonly found in software designed for scientific experimentation. These "configurations" typically cover concepts like hyperparameters used in training a machine learning model or configurable model hyperparameters, such as the depth of a convolutional neural network.

Accessing YACS 0.1.8-GCCcore-10.3.0

To load the module for YACS 0.1.8-GCCcore-10.3.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load YACS/0.1.8-GCCcore-10.3.0

BEAR Apps Version

2021a

Architectures

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 YACS website.

Dependencies

This version of YACS has a direct dependency on: GCCcore/10.3.0 Python/3.9.5-GCCcore-10.3.0 PyYAML/5.4.1-GCCcore-10.3.0

Required By

This version of YACS is a direct dependent of: PyTorch-Geometric/2.0.4-foss-2021a-CUDA-11.3.1

Last modified on 23rd May 2022