torchvision 0.4.2-foss-2019b-Python-3.7.4

There is a newer install of torchvision

PyTorch library: Datasets, Transforms and Models specific to Computer Vision

Accessing torchvision 0.4.2-foss-2019b-Python-3.7.4

To load the module for torchvision 0.4.2-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load torchvision/0.4.2-foss-2019b-Python-3.7.4

BEAR Apps Version

2019b

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 torchvision website.

Dependencies

This version of torchvision has a direct dependency on: foss/2019b Pillow-SIMD/6.0.0-GCCcore-8.3.0 Python/3.7.4-GCCcore-8.3.0 PyTorch/1.3.1-foss-2019b-Python-3.7.4

Other Versions

These versions of torchvision 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
0.16.0-foss-2023a-CUDA-12.1.1	2023a
0.16.0-foss-2023a	2023a
0.16.0-foss-2022b-CUDA-12.0.0	2022b
0.15.2-foss-2022a-CUDA-11.7.0	2022a
0.11.1-foss-2021a-PyTorch-1.10.0	2021a
0.11.1-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0	2021a
0.11.1-foss-2021a-CUDA-11.3.1	2021a
0.11.1-foss-2021a	2021a
0.8.2-foss-2020b-PyTorch-1.7.1	2020b
0.3.0-foss-2019a-Python-3.7.2	2019a
0.2.2-foss-2018b-Python-3.6.6	2018b

Last modified on 27th November 2019