Update log messages

pytorch_lightning/trainer/trainer.py

@@ -1116,7 +1116,7 @@ def _run(
 
  # check if we should delay restoring checkpoint till later
  if not self.strategy.restore_checkpoint_after_setup:
- log.detail(f"{self.__class__.__name__}: restoring module and callbacks from checkpoint path: {ckpt_path}")
+ log.detail(f"{self.__class__.__name__}: restoring module, loggers and callbacks from checkpoint path: {ckpt_path}")
  self._restore_modules_and_loggers_and_callbacks(ckpt_path)
 
  log.detail(f"{self.__class__.__name__}: configuring sharded model")
@@ -1165,7 +1165,7 @@ def _run(
  self._log_hyperparams()
 
  if self.strategy.restore_checkpoint_after_setup:
- log.detail(f"{self.__class__.__name__}: restoring module and callbacks from checkpoint path: {ckpt_path}")
+ log.detail(f"{self.__class__.__name__}: restoring module, loggers and callbacks from checkpoint path: {ckpt_path}")
  self._restore_modules_and_loggers_and_callbacks(ckpt_path)
 
  # restore optimizers, etc.