PyTorch-bundle 2.1.2-foss-2023a
PyTorch with compatible versions of official Torch extensions.Accessing PyTorch-bundle 2.1.2-foss-2023a
To load the module for PyTorch-bundle 2.1.2-foss-2023a 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
There is a GPU enabled version of this module: PyTorch-bundle 2.1.2-foss-2023a-CUDA-12.1.1
BEAR Apps Version
Architectures
EL8-cascadelake — EL8-icelake — 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
- 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: 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 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
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.
Version | BEAR Apps Version |
---|---|
2.1.2-foss-2023a-CUDA-12.1.1 | 2023a |
Last modified on 11th March 2025