PyTorch 1.10.0-foss-2021a

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 1.10.0-foss-2021a

To load the module for PyTorch 1.10.0-foss-2021a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load PyTorch/1.10.0-foss-2021a

There is a GPU enabled version of this module: PyTorch 1.10.0-foss-2021a-CUDA-11.3.1

BEAR Apps Version




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.


This version of PyTorch has a direct dependency on: expecttest/0.1.3-GCCcore-10.3.0 FFmpeg/4.3.2-GCCcore-10.3.0 foss/2021a GMP/6.2.1-GCCcore-10.3.0 MPFR/4.1.0-GCCcore-10.3.0 Ninja/1.10.2-GCCcore-10.3.0 numactl/2.0.14-GCCcore-10.3.0 Pillow/8.2.0-GCCcore-10.3.0 protobuf/3.17.3-GCCcore-10.3.0 protobuf-python/3.17.3-GCCcore-10.3.0 pybind11/2.6.2-GCCcore-10.3.0 Python/3.9.5-GCCcore-10.3.0 PyYAML/5.4.1-GCCcore-10.3.0 SciPy-bundle/2021.05-foss-2021a typing-extensions/

Required By

This version of PyTorch is a direct dependent of: CellBender/0.2.0-foss-2021a Remora/0.1.2-foss-2021a timm/0.6.12-foss-2021a-PyTorch-1.10.0 topaz/0.2.5-foss-2021a torchvision/0.11.1-foss-2021a-PyTorch-1.10.0

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 17th January 2022