PyTorch3D 0.7.5-foss-2022b-CUDA-12.0.0

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data.

Accessing PyTorch3D 0.7.5-foss-2022b-CUDA-12.0.0

To load the module for PyTorch3D 0.7.5-foss-2022b-CUDA-12.0.0 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022b
module load PyTorch3D/0.7.5-foss-2022b-CUDA-12.0.0

BEAR Apps Version

2022b

Architectures

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

• fvcore 0.1.5.post20210617
• iopath 0.1.8
• portalocker 2.7.0
• PyTorch3D 0.7.5
• termcolor 2.2.0
• yacs 0.1.8

More Information

For more information visit the PyTorch3D website.

Dependencies

This version of PyTorch3D has a direct dependency on: CUDA/12.0.0 foss/2022b imageio/2.31.1-foss-2022b IPython/8.14.0-GCCcore-12.2.0 Python/3.10.8-GCCcore-12.2.0 PyTorch/2.1.2-foss-2022b-CUDA-12.0.0 torchvision/0.16.0-foss-2022b-CUDA-12.0.0 tqdm/4.64.1-GCCcore-12.2.0

Last modified on 10th July 2024