tensorflow_probability 0.8.0-foss-2019b-Python-3.7.4Probabilistic reasoning and statistical analysis in TensorFlow
Accessing tensorflow_probability 0.8.0-foss-2019b-Python-3.7.4
To load the module for tensorflow_probability 0.8.0-foss-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load tensorflow_probability/0.8.0-foss-2019b-Python-3.7.4
There is a GPU enabled version of this module: tensorflow_probability 0.8.0-fosscuda-2019b-Python-3.7.4
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 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.
- cloudpickle 1.1.1
- tensorflow_probability 0.8.0
For more information visit the tensorflow_probability website.
This version of tensorflow_probability has a direct dependency on: foss/2019b Python/3.7.4-GCCcore-8.3.0 TensorFlow/2.0.0-foss-2019b-Python-3.7.4
This version of tensorflow_probability is a direct dependent of: BEAR-Python-DataScience/2019b-foss-2019b-Python-3.7.4 cellassign/520de59-foss-2019b-Python-3.7.4-R-3.6.2
These versions of tensorflow_probability 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.
|Version||BEAR Apps Version|
Last modified on 14th January 2020