PyTorch 1.12.1-foss-2022a

There is a newer install of PyTorch

PyTorch provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system.

Accessing PyTorch 1.12.1-foss-2022a

To load the module for PyTorch 1.12.1-foss-2022a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2022a
module load PyTorch/1.12.1-foss-2022a

There is a GPU enabled version of this module: PyTorch 1.12.1-foss-2022a-CUDA-11.7.0

BEAR Apps Version

2022a

Architectures

EL8-cascadelake — 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.

More Information

For more information visit the PyTorch website.

Dependencies

This version of PyTorch has a direct dependency on: expecttest/0.1.3-GCCcore-11.3.0 FFmpeg/4.4.2-GCCcore-11.3.0 foss/2022a GMP/6.2.1-GCCcore-11.3.0 MPFR/4.1.0-GCCcore-11.3.0 Ninja/1.10.2-GCCcore-11.3.0 numactl/2.0.14-GCCcore-11.3.0 Pillow/9.1.1-GCCcore-11.3.0 protobuf/3.19.4-GCCcore-11.3.0 protobuf-python/3.19.4-GCCcore-11.3.0 pybind11/2.9.2-GCCcore-11.3.0 Python/3.10.4-GCCcore-11.3.0 PyYAML/6.0-GCCcore-11.3.0 SciPy-bundle/2022.05-foss-2022a

Required By

This version of PyTorch is a direct dependent of: cell2location/0.1.3-foss-2022a Cellpose/2.2-foss-2022a DeepLabCut/2.3.6-foss-2022a ont-remora/2.0.0-foss-2022a ptwt/0.1.4.post2-foss-2022a PyTorch-Lightning/1.9.3-foss-2022a scArches/0.6.1-foss-2022a SignalP/6.0h-foss-2022a-fast Transformers/4.24.0-foss-2022a

Other Versions

These versions of PyTorch 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 20th January 2023