ModelSummary does not account for every type of precision strings

[gugarosa]

Bug description

The precision_to_bits dictionary in https://github.com/Lightning-AI/pytorch-lightning/blob/master/src/lightning/pytorch/utilities/model_summary/model_summary.py#L219 does not account for every type of precision, e.g., bf16-true.

This will fail in getting the proper key from the dictionary and will default to 32.

What version are you seeing the problem on?

v2.5, master

How to reproduce the bug

In lightning/pytorch/utilities/model_summary/model_summary.py:L219, just add the following when self._model.trainer.precision="bf16-true":

...
precision_to_bits = {"64": 64, "32": 32, "16": 16, "bf16": 16}
print(precision_to_bits.get(self._model.trainer.precision, 32))
raise
...

Error messages and logs

# Error messages and logs here please

Environment

Current environment

#- PyTorch Lightning Version (e.g., 2.5.0): master
#- PyTorch Version (e.g., 2.5): 2.5.1
#- Python version (e.g., 3.12): 3.10
#- OS (e.g., Linux): Ubuntu 22.04
#- CUDA/cuDNN version: 12.4
#- GPU models and configuration: 4xNVIDIA H100 NVL
#- How you installed Lightning(`conda`, `pip`, source): pip

More info

No response