code: def __init__(
      self,
      run_hash: Optional[str] = None,
      *,
      sync_tensorboard_log_dir: str,
      repo: Optional[Union[str, "Repo"]] = None,
      experiment: Optional[str] = None,
      force_resume: Optional[bool] = False,
      system_tracking_interval: Optional[Union[int, float]] = None,
      log_system_params: Optional[bool] = False,
      capture_terminal_logs: Optional[bool] = False,
  ):
      super().__init__(
          run_hash,
          repo=repo,
          read_only=False,
          experiment=experiment,
          force_resume=force_resume,
          system_tracking_interval=system_tracking_interval,
          log_system_params=log_system_params,
          capture_terminal_logs=capture_terminal_logs,
      )
  
      self["tb_log_directory"] = sync_tensorboard_log_dir
      self._tensorboard_tracker = TensorboardTracker(
          self._tracker, sync_tensorboard_log_dir
      )
      self._tensorboard_tracker.start()
      self._resources.add_extra_resource(self._tensorboard_tracker)
  
imports: from typing import Optional, Union
  from aim.sdk.run import Run
  from aim.ext.tensorboard_tracker.tracker import TensorboardTracker
  from typing import TYPE_CHECKING
label_desc: Use image node_id 1 to create a new Run object from inherited base classes: SdkRun with example: obj = Run(run_hash)