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 _prepare_subcommand_parser(
      self, klass: Type, subcommand: str, **kwargs: Any
  ) -> LightningArgumentParser:
      parser = self.init_parser(**kwargs)
      self._add_arguments(parser)
      # subcommand arguments
      skip: Set[Union[str, int]] = set(self.subcommands()[subcommand])
      added = parser.add_method_arguments(klass, subcommand, skip=skip)
      # need to save which arguments were added to pass them to the method later
      self._subcommand_method_arguments[subcommand] = added
      return 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 11 for calling the LightningCLI obj's underlying member method code with example usage: obj._prepare_subcommand_parser(klass, subcommand) and returns: parser