There is a newer version of tensorflow-probabilityTensorFlow Probability (TFP) is a Python library built on TensorFlow that makes it easy to combine probabilistic models and deep learning on modern hardware (TPU, GPU). It's for data scientists, statisticians, ML researchers, and practitioners who want to encode domain knowledge to understand data and make predictions
Accessing tensorflow-probability 0.10.1-fosscuda-2019b-Python-3.7.4-TensorFlow-2.2.0
To load the module for tensorflow-probability 0.10.1-fosscuda-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 tensorflow-probability/0.10.1-fosscuda-2019b-Python-3.7.4-TensorFlow-2.2.0
There is a CPU version of this module: tensorflow-probability 0.10.1-foss-2019b-Python-3.7.4-TensorFlow-2.2.0
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.
- cloudpickle 1.3.0
For more information visit the tensorflow-probability website.
This version of tensorflow-probability has a direct dependency on: fosscuda/2019b Python/3.7.4-GCCcore-8.3.0 TensorFlow/2.2.0-fosscuda-2019b-Python-3.7.4
This version of tensorflow-probability is a direct dependent of: GPflow/2.1.1-fosscuda-2019b-Python-3.7.4-TensorFlow-2.2.0
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.
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Last modified on 30th September 2020