PPN2V 4e822aa-fosscuda-2019b-Python-3.7.4Fully Unsupervised Probabilistic Noise2Void
Accessing PPN2V 4e822aa-fosscuda-2019b-Python-3.7.4
To load the module for PPN2V 4e822aa-fosscuda-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load PPN2V/4e822aa-fosscuda-2019b-Python-3.7.4
There is a CPU version of this module: PPN2V 4e822aa-foss-2019b-Python-3.7.4
BEAR Apps Version
EL8-haswell (GPUs: NVIDIA P100)
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 and CaStLeS Cloud 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 PPN2V website.
This version of PPN2V has a direct dependency on: fosscuda/2019b matplotlib/3.1.1-fosscuda-2019b-Python-3.7.4 Python/3.7.4-GCCcore-8.3.0 PyTorch/1.4.0-fosscuda-2019b-Python-3.7.4 SciPy-bundle/2019.10-fosscuda-2019b-Python-3.7.4 tifffile/2019.7.26.2-fosscuda-2019b-Python-3.7.4
These versions of PPN2V 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.
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Last modified on 6th May 2020