PyTorch-bundle 2.1.2-foss-2023a-CUDA-12.1.1

PyTorch with compatible versions of official Torch extensions.

Accessing PyTorch-bundle 2.1.2-foss-2023a-CUDA-12.1.1

To load the module for PyTorch-bundle 2.1.2-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 PyTorch-bundle/2.1.2-foss-2023a-CUDA-12.1.1

There is a CPU version of this module: PyTorch-bundle 2.1.2-foss-2023a

BEAR Apps Version

2023a

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

• portalocker 2.8.2
• pytest-mock-3.11.1
• pytorch-ignite-0.4.13
• torch-tb-profiler-0.4.3
• torchaudio 2.1.2
• torchdata 0.7.1
• torchtext 0.16.2
• torchvision 0.16.2

More Information

For more information visit the PyTorch-bundle website.

Dependencies

This version of PyTorch-bundle has a direct dependency on: CUDA/12.1.1 double-conversion/3.3.0-GCCcore-12.3.0 FFmpeg/6.0-GCCcore-12.3.0 foss/2023a libjpeg-turbo/2.1.5.1-GCCcore-12.3.0 Pillow-SIMD/9.5.0-GCCcore-12.3.0 Python/3.11.3-GCCcore-12.3.0 PyTorch/2.1.2-foss-2023a-CUDA-12.1.1 SentencePiece/0.2.0-GCC-12.3.0 SoX/14.4.2-GCCcore-12.3.0 tensorboard/2.15.1-gfbf-2023a tqdm/4.66.1-GCCcore-12.3.0 utf8proc/2.8.0-GCCcore-12.3.0

Required By

This version of PyTorch-bundle is a direct dependent of: SemiBin/2.1.0-foss-2023a-CUDA-12.1.1 topaz/0.2.5.20231120-foss-2023a-CUDA-12.1.1

Other Versions

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

Last modified on 3rd March 2025