YACS 0.1.8-GCCcore-10.3.0YACS 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, BEARCloud VMs, and CaStLeS VMs):
module load YACS/0.1.8-GCCcore-10.3.0
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR and CaStLeS Cloud VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the YACS website.
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
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