PyTorch-Geometric 2.5.0-foss-2022b-PyTorch-2.1.2-CUDA-12.0.0

There is a newer install of PyTorch-Geometric

PyTorch Geometric (PyG) is a geometric deep learning extension library for PyTorch.

Accessing PyTorch-Geometric 2.5.0-foss-2022b-PyTorch-2.1.2-CUDA-12.0.0

To load the module for PyTorch-Geometric 2.5.0-foss-2022b-PyTorch-2.1.2-CUDA-12.0.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022b module load PyTorch-Geometric/2.5.0-foss-2022b-PyTorch-2.1.2-CUDA-12.0.0

BEAR Apps Version

2022b

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.

Extensions

googledrivedownloader 0.4
plyfile 1.0.3
python-louvain-0.16
torch_cluster 1.6.3
torch_geometric 2.5.0
torch_scatter 2.1.2
torch_sparse 0.6.18
torch_spline_conv 1.2.2

More Information

For more information visit the PyTorch-Geometric website.

Dependencies

This version of PyTorch-Geometric has a direct dependency on: aiohttp/3.8.5-GCCcore-12.2.0 ASE/3.22.1-gfbf-2022b CUDA/12.0.0 foss/2022b h5py/3.8.0-foss-2022b numba/0.58.1-foss-2022b Python/3.10.8-GCCcore-12.2.0 PyTorch/2.1.2-foss-2022b-CUDA-12.0.0 RDFlib/7.0.0-GCCcore-12.2.0 scikit-image/0.21.0-foss-2022b scikit-learn/1.2.1-gfbf-2022b tqdm/4.64.1-GCCcore-12.2.0 YACS/0.1.8-GCCcore-12.2.0

Other Versions

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

Version	BEAR Apps Version
2.5.0-foss-2022b-PyTorch-2.1.2	2022b
2.0.4-foss-2021a-CUDA-11.3.1	2021a
1.4.3-foss-2019b-Python-3.7.4-PyTorch-1.4.0	2019b

Last modified on 13th May 2024