e3nn 0.4.4-foss-2023a-CUDA-12.1.1
Euclidean neural networks (e3nn) is a python library based on pytorch to create equivariant neural networks for the group O(3).Accessing e3nn 0.4.4-foss-2023a-CUDA-12.1.1
To load the module for e3nn 0.4.4-foss-2023a-CUDA-12.1.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):
📋
module load bear-apps/2023a
module load e3nn/0.4.4-foss-2023a-CUDA-12.1.1
BEAR Apps Version
Architectures
EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30)
The listed architectures consist of two parts: 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.
Extensions
- e3nn 0.4.4
- opt-einsum-3.3.0
- opt_einsum_fx 0.1.4
More Information
For more information visit the e3nn website.
Dependencies
This version of e3nn has a direct dependency on: CUDA/12.1.1 foss/2023a Python/3.11.3-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a-CUDA-12.1.1 SciPy-bundle/2023.07-gfbf-2023a sympy/1.12-gfbf-2023a
Required By
This version of e3nn is a direct dependent of: MACE/0.3.14-foss-2023a-CUDA-12.1.1-ASE-3.24.0
Last modified on 8th September 2025