PyTorch 1.12.1-foss-2022a

There is a newer version 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, BEAR Cloud VMs, and CaStLeS VMs):

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

2019b

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 Transformers/4.24.0-foss-2022a

Other Versions

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

Last modified on 20th January 2023