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 _instantiate_trainer(
      self, config: Dict[str, Any], callbacks: List[Callback]
  ) -> Trainer:
      key = "callbacks"
      if key in config:
          if config[key] is None:
              config[key] = []
          elif not isinstance(config[key], list):
              config[key] = [config[key]]
          config[key].extend(callbacks)
          if key in self.trainer_defaults:
              value = self.trainer_defaults[key]
              config[key] += (
                  value if isinstance(value, list) else [value]
              )
          if self.save_config_callback and not config.get(
              "fast_dev_run", False
          ):
              config_callback = self.save_config_callback(
                  self._parser(self.subcommand),
                  self.config.get(str(self.subcommand), self.config),
                  **self.save_config_kwargs,
              )
              config[key].append(config_callback)
      else:
          rank_zero_warn(
              f"The `{self.trainer_class.__qualname__}` class does not expose the `{key}` argument so they will"
              " not be included."
          )
      return self.trainer_class(**config)
  
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 17 for calling the LightningCLI obj's underlying member method code with example usage: obj._instantiate_trainer(config, callbacks) and returns: self