There is a newer version of TensorFlowAn open-source software library for Machine Intelligence
Accessing TensorFlow 1.13.1-foss-2019a-Python-3.7.2
To load the module for TensorFlow 1.13.1-foss-2019a-Python-3.7.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load TensorFlow/1.13.1-foss-2019a-Python-3.7.2
There is a GPU enabled version of this module: TensorFlow 1.13.1-fosscuda-2019a-Python-3.7.2
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.
- astor 0.7.1
- gast 0.2.2
- grpcio 1.20.1
- Markdown 3.1
- tensorboard 1.13.1
- TensorFlow 1.13.1
- termcolor 1.1.0
- Werkzeug 0.15.2
For more information visit the TensorFlow website.
This version of TensorFlow has a direct dependency on: foss/2019a h5py/2.10.0-foss-2019a Python/3.7.2-GCCcore-8.2.0 SciPy-bundle/2019.03-foss-2019a
This version of TensorFlow is a direct dependent of: Clairvoyante/1.02-foss-2019a-Python-3.7.2 CSBDeep/0.4.1-foss-2019a-Python-3.7.2 DeepMod/0.1.1-foss-2019a-Python-3.7.2 Keras/2.2.4-foss-2019a-Python-3.7.2 TensorFlow-Large-Model-Support/0.1.0-foss-2019a-Python-3.7.2
These versions of TensorFlow 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.
Last modified on 5th July 2019