torchvision 0.11.1-foss-2021a-CUDA-11.3.1

There is a newer install of torchvision

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

Accessing torchvision 0.11.1-foss-2021a-CUDA-11.3.1

To load the module for torchvision 0.11.1-foss-2021a-CUDA-11.3.1 please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load torchvision/0.11.1-foss-2021a-CUDA-11.3.1

There is a CPU version of this module: torchvision 0.11.1-foss-2021a

BEAR Apps Version

2021a

Architectures

EL8-icelake (GPUs: NVIDIA A100, NVIDIA A30) — 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: CUDA/11.3.1 foss/2021a magma/2.6.1-foss-2021a-CUDA-11.3.1 Pillow-SIMD/8.2.0-GCCcore-10.3.0 Python/3.9.5-GCCcore-10.3.0 PyTorch/1.9.1-foss-2021a-CUDA-11.3.1-imkl

Required By

This version of torchvision is a direct dependent of: pytorch-lightning/1.5.7-foss-2021a-CUDA-11.3.1

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
0.15.2-foss-2022a-CUDA-11.7.0	2022a
0.11.1-foss-2021a-PyTorch-1.10.0	2021a
0.11.1-foss-2021a	2021a
0.11.1-foss-2021a-CUDA-11.3.1-PyTorch-1.10.0	2021a
0.8.2-foss-2020b-PyTorch-1.7.1	2020b
0.4.2-foss-2019b-Python-3.7.4	2019b
0.3.0-foss-2019a-Python-3.7.2	2019a
0.2.2-foss-2018b-Python-3.6.6	2018b

Last modified on 7th January 2022