tensorboard 2.15.1-gfbf-2023a

TensorBoard is a suite of web applications for inspecting and understanding your TensorFlow runs and graphs.

Accessing tensorboard 2.15.1-gfbf-2023a

To load the module for tensorboard 2.15.1-gfbf-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load tensorboard/2.15.1-gfbf-2023a

BEAR Apps Version

2023a

Architectures

EL8-cascadelake — EL8-icelake — EL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used 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.

Extensions

• absl-py-2.1.0
• cachetools 5.3.2
• google-auth-2.26.2
• google-auth-oauthlib-1.2.0
• grpcio 1.60.0
• Markdown 3.5.2
• oauthlib 3.2.2
• pyasn1_modules 0.3.0
• requests-oauthlib-1.3.1
• rsa 4.9
• tensorboard 2.15.1
• tensorboard_data_server 0.7.2
• tensorboard_plugin_wit 1.8.1
• Werkzeug 3.0.1

More Information

For more information visit the tensorboard website.

Dependencies

This version of tensorboard has a direct dependency on: gfbf/2023a protobuf-python/4.24.0-GCCcore-12.3.0 Python/3.11.3-GCCcore-12.3.0 SciPy-bundle/2023.07-gfbf-2023a

Required By

This version of tensorboard is a direct dependent of: earthengine-api/0.1.413-foss-2023a

Last modified on 31st July 2024