Comet.ml logger - add usage tracking (#14906)

Co-authored-by: Aliaksandr.Kuzmik <[email protected]>

Author: alexkuzmik

src/pytorch_lightning/CHANGELOG.md

@@ -51,9 +51,13 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 - Added a warning when the model passed to `LightningLite.setup()` does not have all parameters on the same device ([#14822](https://github.com/Lightning-AI/lightning/pull/14822))
 
 
+- The `CometLogger` now flags the Comet Experiments as being created from Pytorch-Lightning for analytics purposes
+
+
 - Introduce `ckpt_path="hpc"` keyword for checkpoint loading ([#14911](https://github.,com/Lightning-AI/lightning/pull/14911))
 
 
+
 - Added a more descriptive error message when attempting to fork processes with pre-initialized CUDA context ([#14709](https://github.com/Lightning-AI/lightning/issues/14709))
 
 

src/pytorch_lightning/loggers/comet.py

@@ -301,6 +301,7 @@ def experiment(self) -> Union[CometExperiment, CometExistingExperiment, CometOff
                 self._experiment = CometOfflineExperiment(
                     offline_directory=self.save_dir, project_name=self._project_name, **self._kwargs
                 )
+            self._experiment.log_other("Created from", "pytorch-lightning")
         finally:
             if self._future_experiment_key is not None:
                 os.environ.pop("COMET_EXPERIMENT_KEY")