Tensorboard logging breaks with certain scalar values with numpy >= 2.4.0 #21503
Description
Bug description
As of Numpy 2.4.0, converting an 0-dimensional array to a scalar is now a TypeError, following the expiration of a lengthy deprecation period.
This is triggered in src/lightning/fabric/loggers/tensorboard.py in several tests when we run with numpy >= 2.4. It is not clear to me why the CI is not picking this up, though, since the requirements/fabric/test.txt file does seem to allow more recent versions of numpy.
What version are you seeing the problem on?
master
Reproduced in studio
No response
How to reproduce the bug
Error messages and logs
# Error messages and logs here please
Environment
Current environment
#- PyTorch Lightning Version (e.g., 2.5.0):
#- PyTorch Version (e.g., 2.5):
#- Python version (e.g., 3.12):
#- OS (e.g., Linux):
#- CUDA/cuDNN version:
#- GPU models and configuration:
#- How you installed Lightning(`conda`, `pip`, source):
More info
No response