PyTorch 1.9.1-foss-2021a-imkl

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 1.9.1-foss-2021a-imkl

To load the module for PyTorch 1.9.1-foss-2021a-imkl please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load PyTorch/1.9.1-foss-2021a-imkl

There is a GPU enabled version of this module: PyTorch 1.9.1-foss-2021a-CUDA-11.3.1-imkl

BEAR Apps Version

2021a

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: FFmpeg/4.3.2-GCCcore-10.3.0 foss/2021a GMP/6.2.1-GCCcore-10.3.0 imkl/2021.2.0-gompi-2021a 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/3.10.0.0-GCCcore-10.3.0

Required By

This version of PyTorch is a direct dependent of: Cellpose/0.6.5-foss-2021a pytorch-lightning/1.5.7-foss-2021a torchvision/0.11.1-foss-2021a

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 11th October 2021