BEAR Applications: PyTorch 1.0.1-fosscuda-2018b-Python-3.6.6 (for BlueBEAR, BEARCloud VMs, and CaStLeS VMs)

PyTorch 1.0.1-fosscuda-2018b-Python-3.6.6

PyTorch provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system.

Accessing PyTorch 1.0.1-fosscuda-2018b-Python-3.6.6

To load the module for PyTorch 1.0.1-fosscuda-2018b-Python-3.6.6 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load PyTorch/1.0.1-fosscuda-2018b-Python-3.6.6

There is a CPU version of this module: PyTorch 1.0.1-foss-2018b-Python-3.6.6

BEAR Apps Version

2020b

More Information

For more information visit the PyTorch website.

Dependencies

This version of PyTorch has a direct dependency on: cuDNN/7.1.4.18-fosscuda-2018b fosscuda/2018b hypothesis/4.5.0-fosscuda-2018b-Python-3.6.6 Ninja/1.8.2-fosscuda-2018b Python/3.6.6-fosscuda-2018b PyYAML/3.13-fosscuda-2018b-Python-3.6.6

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.

Version	BEAR Apps Version
2.0.1-foss-2022a-CUDA-11.7.0	2022a
1.13.1-foss-2022b	2022b
1.12.1-foss-2022a	2022a
1.12.1-foss-2022a-CUDA-11.7.0	2022a
1.10.0-foss-2021a	2021a
1.10.0-foss-2021a-CUDA-11.3.1	2021a
1.9.1-foss-2021a-imkl	2021a
1.9.1-foss-2021a-CUDA-11.3.1-imkl	2021a
1.7.1-fosscuda-2020b	2020b
1.7.1-foss-2020b	2020b
1.6.0-fosscuda-2019b-Python-3.7.4	2019b
1.6.0-foss-2019b-Python-3.7.4	2019b
1.4.0-fosscuda-2019b-Python-3.7.4	2019b
1.4.0-foss-2019b-Python-3.7.4	2019b
1.3.1-fosscuda-2019b-Python-3.7.4	2019b
1.3.1-foss-2019b-Python-3.7.4	2019b
1.2.0-fosscuda-2019a-Python-3.7.2	2019a
1.2.0-foss-2019a-Python-3.7.2	2019a
1.1.0-fosscuda-2018b-Python-3.6.6	2018b
1.1.0-foss-2018b-Python-3.6.6	2018b
1.0.1-foss-2018b-Python-3.6.6	2018b
0.4.1-fosscuda-2018b-Python-3.6.6	2018b
0.4.1-foss-2018b-Python-3.6.6	2018b

Last modified on 5th June 2019