class_docstr: This callback tracks and communicates the Trainer's progress to the running PyTorch Lightning App.
class_docstr_tok: ["This","callback","tracks","and","communicates","the","Trainer","'s","progress","to","the","running","PyTorch","Lightning","App","."]
code: def _send_state(self) -> None:
      self.work.trainer_progress = self._state.dict()
  
imports: import inspect
  from typing import TYPE_CHECKING, Any, Dict, Union
  import lightning.pytorch
  from lightning.app.storage.path import Path
  from lightning.app.utilities.app_helpers import Logger
  from lightning.pytorch import Callback
  from lightning.pytorch.callbacks.progress.progress_bar import get_standard_metrics
  from lightning.pytorch.loggers import TensorBoardLogger, WandbLogger
  from lightning.pytorch.utilities.parsing import collect_init_args
  from core.state import ProgressBarState, TrainerState
label_desc: Use image node_id 23 for calling the PLAppProgressTracker obj's underlying member method code with example usage: obj._send_state() without return types