Use `model_info_for_loggers()` in DVC logger (#3127)

ultralytics/yolo/utils/callbacks/dvc.py

@@ -4,7 +4,7 @@ import os
 import pkg_resources as pkg
 
 from ultralytics.yolo.utils import LOGGER, TESTS_RUNNING
-from ultralytics.yolo.utils.torch_utils import get_flops, get_num_params
+from ultralytics.yolo.utils.torch_utils import model_info_for_loggers
 
 try:
     from importlib.metadata import version
@@ -100,12 +100,7 @@ def on_fit_epoch_end(trainer):
             live.log_metric(metric, value)
 
         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)}
-
-            for metric, value in model_info.items():
+            for metric, value in model_info_for_loggers(trainer).items():
                 live.log_metric(metric, value, plot=False)
 
         _log_plots(trainer.plots, 'train')