PyTorch-Geometric 2.0.4-foss-2021a-CUDA-11.3.1

There is a newer install of PyTorch-Geometric

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

Accessing PyTorch-Geometric 2.0.4-foss-2021a-CUDA-11.3.1

To load the module for PyTorch-Geometric 2.0.4-foss-2021a-CUDA-11.3.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load PyTorch-Geometric/2.0.4-foss-2021a-CUDA-11.3.1

BEAR Apps Version

2021a

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — EL8-sapphirerapids

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

googledrivedownloader 0.4
plyfile 0.7.4
python-louvain-0.16
torch_cluster 1.6.0
torch_geometric 2.0.4
torch_scatter 2.0.9
torch_sparse 0.6.13
torch_spline_conv 1.2.1

More Information

For more information visit the PyTorch-Geometric website.

Dependencies

This version of PyTorch-Geometric has a direct dependency on: ASE/3.22.0-foss-2021a CUDA/11.3.1 foss/2021a h5py/3.2.1-foss-2021a numba/0.53.1-foss-2021a Python/3.9.5-GCCcore-10.3.0 PyTorch/1.10.0-foss-2021a-CUDA-11.3.1 RDFlib/6.1.1-GCCcore-10.3.0 scikit-image/0.18.3-foss-2021a scikit-learn/0.24.2-foss-2021a tqdm/4.61.2-GCCcore-10.3.0 YACS/0.1.8-GCCcore-10.3.0

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-CUDA-12.0.0	2022b
2.5.0-foss-2022b-PyTorch-2.1.2	2022b
1.4.3-foss-2019b-Python-3.7.4-PyTorch-1.4.0	2019b

Last modified on 23rd May 2022