tensorboard¶
TensorBoard is a suite of web applications for inspecting andunderstanding your TensorFlow runs and graphs.
https://github.com/tensorflow/tensorboard
Available modules¶
The overview below shows which tensorboard installations are available per target architecture in EESSI, ordered based on software version (new to old).
To start using tensorboard, load one of these modules using a module load command like:
(This data was automatically generated on Fri, 06 Feb 2026 at 13:12:13 UTC)
| aarch64/generic | aarch64/a64fx | aarch64/neoverse_n1 | aarch64/neoverse_v1 | aarch64/nvidia/grace | x86_64/generic | x86_64/amd/zen2 | x86_64/amd/zen3 | x86_64/amd/zen4 | x86_64/intel/cascadelake | x86_64/intel/haswell | x86_64/intel/icelake | x86_64/intel/sapphirerapids | x86_64/intel/skylake_avx512 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| tensorboard/2.15.1-gfbf-2023a | x | x | x | x | x | x | x | x | x | x | x | x | x | x |
tensorboard/2.15.1-gfbf-2023a¶
This is a list of extensions included in the module:
absl-py-2.1.0, cachetools-5.3.2, google-auth-2.26.2, google-auth-oauthlib-1.2.0, gviz-api-1.10.0, 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-plugin-profile-2.15.1, tensorboard_data_server-0.7.2, Werkzeug-3.0.1