Erreur avec le le logger mlflow

Nobody has claimed this yet.

### Bug description

With the mlflow logger, I have the following error:
```Epoch 9: 100%|█| 23/23 [00:40<00:00, 0.57it/s, v_num=0a0d, phase_loss/train_step=0.0224, mae/train_step=0.153, loss/train_ste
Traceback (most recent call last):
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 48, in _call_and_handle_interrupt
return trainer_fn(*args, **kwargs)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 599, in _fit_impl
self._run(model, ckpt_path=ckpt_path)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 1025, in _run
call._call_teardown_hook(self)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 148, in _call_teardown_hook
logger.finalize("success")
File "/opt/venvs/lib/python3.10/site-packages/lightning_utilities/core/rank_zero.py", line 41, in wrapped_fn
return fn(*args, **kwargs)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/loggers/mlflow.py", line 289, in finalize
self._scan_and_log_checkpoints(self._checkpoint_callback)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/loggers/mlflow.py", line 369, in _scan_and_log_checkpoints
self.experiment.log_artifact(self._run_id, p, artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/tracking/client.py", line 2379, in log_artifact
self._tracking_client.log_artifact(run_id, local_path, artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py", line 931, in log_artifact
artifact_repo.log_artifact(local_path, artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/store/artifact/local_artifact_repo.py", line 33, in log_artifact
verify_artifact_path(artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/store/artifact/artifact_repo.py", line 464, in verify_artifact_path
raise MlflowException(
mlflow.exceptions.MlflowException: Invalid artifact path: 'ordering-model-epoch=09-val_loss=0.00'. Names may be treated as files in certain cases, and must not resolve to other names when treated as such. This name would resolve to 'ordering-model-epoch=09-val_loss=0.00'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/usr/lib/python3.10/pdb.py", line 1726, in main
pdb._runscript(mainpyfile)
File "/usr/lib/python3.10/pdb.py", line 1586, in _runscript
self.run(statement)
File "/usr/lib/python3.10/bdb.py", line 597, in run
exec(cmd, globals, locals)
File "", line 1, in
File "/workspace/perso/train.py", line 66, in
train_model(config)
File "/workspace/vrsgen/training/train.py", line 145, in train_model
trainer.fit(model, train_loader, val_loader)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/trainer/trainer.py", line 561, in fit
call._call_and_handle_interrupt(
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 68, in _call_and_handle_interrupt
_interrupt(trainer, exception)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/trainer/call.py", line 82, in _interrupt
logger.finalize("failed")
File "/opt/venvs/lib/python3.10/site-packages/lightning_utilities/core/rank_zero.py", line 41, in wrapped_fn
return fn(*args, **kwargs)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/loggers/mlflow.py", line 289, in finalize
self._scan_and_log_checkpoints(self._checkpoint_callback)
File "/opt/venvs/lib/python3.10/site-packages/pytorch_lightning/loggers/mlflow.py", line 369, in _scan_and_log_checkpoints
self.experiment.log_artifact(self._run_id, p, artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/tracking/client.py", line 2379, in log_artifact
self._tracking_client.log_artifact(run_id, local_path, artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/tracking/_tracking_service/client.py", line 931, in log_artifact
artifact_repo.log_artifact(local_path, artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/store/artifact/local_artifact_repo.py", line 33, in log_artifact
verify_artifact_path(artifact_path)
File "/opt/venvs/lib/python3.10/site-packages/mlflow/store/artifact/artifact_repo.py", line 464, in verify_artifact_path
raise MlflowException(
mlflow.exceptions.MlflowException: Invalid artifact path: 'ordering-model-epoch=09-val_loss=0.00'. Names may be treated as files in certain cases, and must not resolve to other names when treated as such. This name would resolve to 'ordering-model-epoch=09-val_loss=0.00'
Uncaught exception. Entering post mortem debugging
Running 'cont' or 'step' will restart the program
```
The problem comes from the path_not_unique function (line 168 in mlflow.utils.validation) which works only with str and here receives a pathlib.Path object ->posixpath.normpath(name) will return a str even for a Path as input and then `norm != name` is always false

to correct this, in the mlflow logger in pytorch_ligntning.loggers.mlflow, line 369 should be:
self.experiment.log_artifact(self._run_id, p, str(artifact_path))

### What version are you seeing the problem on?

v2.5

### Reproduced in studio

_No response_

### How to reproduce the bug

```python

```

### 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_

Start in pytorch_lightning/loggers/mlflow.py at line 369, where checkpoint artifacts are logged, and review the path_not_unique behavior described in mlflow.utils.validation. Confirm that the artifact path handling accepts the pathlib.Path value shown in the traceback and verify that the reported MLflow logging error no longer occurs.

Written by the indexing model from the issue text.