New train profile argument for loggers (#2862)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

ultralytics/yolo/utils/callbacks/wb.py

@@ -1,30 +1,27 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params
+from ultralytics.yolo.utils import TESTS_RUNNING
+from ultralytics.yolo.utils.torch_utils import model_info_for_loggers
 
 try:
     import wandb as wb
 
     assert hasattr(wb, '__version__')
+    assert not TESTS_RUNNING  # do not log pytest
 except (ImportError, AssertionError):
     wb = None
 
 
 def on_pretrain_routine_start(trainer):
     """Initiate and start project if module is present."""
-    wb.init(project=trainer.args.project or 'YOLOv8', name=trainer.args.name, config=vars(
-        trainer.args)) if not wb.run else wb.run
+    wb.run or wb.init(project=trainer.args.project or 'YOLOv8', name=trainer.args.name, config=vars(trainer.args))
 
 
 def on_fit_epoch_end(trainer):
     """Logs training metrics and model information at the end of an epoch."""
     wb.run.log(trainer.metrics, step=trainer.epoch + 1)
     if trainer.epoch == 0:
-        model_info = {
-            'model/parameters': get_num_params(trainer.model),
-            'model/GFLOPs': round(get_flops(trainer.model), 3),
-            'model/speed(ms)': round(trainer.validator.speed['inference'], 3)}
-        wb.run.log(model_info, step=trainer.epoch + 1)
+        wb.run.log(model_info_for_loggers(trainer), step=trainer.epoch + 1)
 
 
 def on_train_epoch_end(trainer):