Accessing PyTorch 1.13.1-foss-2022b
To load the module for PyTorch 1.13.1-foss-2022b please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load bear-apps/2022b
module load PyTorch/1.13.1-foss-2022b
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR 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.
- BEAR Cloud and CaStLeS VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
For more information visit the PyTorch website.
This version of PyTorch has a direct dependency on: expecttest/0.1.3-GCCcore-12.2.0 FFmpeg/5.1.2-GCCcore-12.2.0 foss/2022b GMP/6.2.1-GCCcore-12.2.0 MPFR/4.2.0-GCCcore-12.2.0 Ninja/1.11.1-GCCcore-12.2.0 numactl/2.0.16-GCCcore-12.2.0 Pillow/9.4.0-GCCcore-12.2.0 protobuf/23.0-GCCcore-12.2.0 protobuf-python/4.23.0-GCCcore-12.2.0 pybind11/2.10.3-GCCcore-12.2.0 Python/3.10.8-GCCcore-12.2.0 PyYAML/6.0-GCCcore-12.2.0 SciPy-bundle/2023.02-gfbf-2022b
This version of PyTorch is a direct dependent of: SignalP/6.0h-foss-2022b-fast
Last modified on 17th November 2023