class_docstr: Implementation of a configurable command line tool for pytorch-lightning.
class_docstr_tok: ["Implementation","of","a","configurable","command","line","tool","for","pytorch-lightning","."]
code: def _add_arguments(self, parser: LightningArgumentParser) -> None:
      # default + core + custom arguments
      self.add_default_arguments_to_parser(parser)
      self.add_core_arguments_to_parser(parser)
      self.add_arguments_to_parser(parser)
      # add default optimizer args if necessary
      if self.auto_configure_optimizers:
          if (
              not parser._optimizers
          ):  # already added by the user in `add_arguments_to_parser`
              parser.add_optimizer_args((Optimizer,))
          if (
              not parser._lr_schedulers
          ):  # already added by the user in `add_arguments_to_parser`
              parser.add_lr_scheduler_args(LRSchedulerTypeTuple)
      self.link_optimizers_and_lr_schedulers(parser)
  
imports: import os
  import sys
  from functools import partial, update_wrapper
  from types import MethodType
  from typing import Any, Callable, Dict, Iterable, List, Optional, Set, Tuple, Type, Union
  import torch
  from lightning_utilities.core.imports import RequirementCache
  from lightning_utilities.core.rank_zero import _warn
  from torch.optim import Optimizer
  from typing_extensions import override
  import lightning.pytorch
  from lightning.fabric.utilities.cloud_io import get_filesystem
  from lightning.fabric.utilities.types import _TORCH_LRSCHEDULER
  from lightning.pytorch import Callback, LightningDataModule, LightningModule, Trainer, seed_everything
  from lightning.pytorch.utilities.exceptions import MisconfigurationException
  from lightning.pytorch.utilities.model_helpers import is_overridden
  from lightning.pytorch.utilities.rank_zero import rank_zero_warn
label_desc: Use image node_id 7 for calling the LightningCLI obj's underlying member method code with example usage: obj._add_arguments(parser) without return types