Published April 20, 2024
| Version 0.20.3
Software
Open
zfit/zfit: Minor bugfixes
Creators
- 1. CERN
- 2. Argusa
- 3. Rice University
- 4. University of Münster
- 5. Princeton University
- 6. Imgbot
- 7. KTH
Description
Bug fixes and small changes
- enhanced loss: simple loss can take a gradient and hesse function and the default base loss provides fallbacks that work correctly between
value_gradient
andgradient
. This maybe matters if you've implemented a custom loss and should fix any issues with it. - multiprocessing would get stuck due to an
upstream bug in TensorFlow <https://github.com/tensorflow/tensorflow/issues/66115>
_. Working around it by disabling an unused piece of code.
Thanks
- acampoverde for finding the bug in the multiprocessing
Files
zfit/zfit-0.20.3.zip
Files
(3.3 MB)
Name | Size | Download all |
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md5:06f35a9ca2ebe8d44e2bf1aca960ebe8
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3.3 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/zfit/zfit/tree/0.20.3 (URL)