GPflow 2.1.1-foss-2019b-Python-3.7.4-TensorFlow-2.2.0GPflow is a package for building Gaussian process models in Python, using TensorFlow.
Accessing GPflow 2.1.1-foss-2019b-Python-3.7.4-TensorFlow-2.2.0
To load the module for GPflow 2.1.1-foss-2019b-Python-3.7.4-TensorFlow-2.2.0 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load GPflow/2.1.1-foss-2019b-Python-3.7.4-TensorFlow-2.2.0
There is a GPU enabled version of this module: GPflow 2.1.1-fosscuda-2019b-Python-3.7.4-TensorFlow-2.2.0
BEAR Apps Version
EL8-cascadelake — EL8-haswell — Ubuntu20.04-haswell
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.
- gpflow 2.1.1
- multipledispatch 0.6.0
For more information visit the GPflow website.
This version of GPflow has a direct dependency on: foss/2019b Python/3.7.4-GCCcore-8.3.0 TensorFlow/2.2.0-foss-2019b-Python-3.7.4 tensorflow-probability/0.10.1-foss-2019b-Python-3.7.4-TensorFlow-2.2.0
This version of GPflow is a direct dependent of: BEAR-Python-Sciences/2019b-foss-2019b-Python-3.7.4
These versions of GPflow 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 29th September 2020