There is a newer version of PyTorchPyTorch provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system.
Accessing PyTorch 1.2.0-foss-2019a-Python-3.7.2
To load the module for PyTorch 1.2.0-foss-2019a-Python-3.7.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load PyTorch/1.2.0-foss-2019a-Python-3.7.2
There is a GPU enabled version of this module: PyTorch 1.2.0-fosscuda-2019a-Python-3.7.2
BEAR Apps Version
On EL7-power9, the BEAR AI nodes, the following PyTorch tests were disabled to allow the build to complete:
If your use of PyTorch functionality that form part of these tests you may experience problems. We will be continuing to work to debug and fix these issues.
For more information visit the PyTorch website.
This version of PyTorch has a direct dependency on: FFmpeg/4.1.3-GCCcore-8.2.0 foss/2019a GMP/6.1.2-GCCcore-8.2.0 MPFR/4.0.2-GCCcore-8.2.0 numactl/2.0.12-GCCcore-8.2.0 Pillow/6.0.0-GCCcore-8.2.0 Python/3.7.2-GCCcore-8.2.0 PyYAML/5.1-GCCcore-8.2.0 SciPy-bundle/2019.03-foss-2019a
This version of PyTorch is a direct dependent of: ELMoForManyLangs/0.0.2-foss-2019a-Python-3.7.2 torchvision/0.3.0-foss-2019a-Python-3.7.2
These versions of PyTorch are available on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.
Last modified on 3rd September 2019