code: def test_lambda_callback_train(self) -> None:
      input_dim = 2
      train_dataset_len = 10
      batch_size = 2
      max_epochs = 4
      max_steps_per_epoch = 6
      train_dataloader = generate_random_dataloader(
          train_dataset_len, input_dim, batch_size
      )
      checker: Set[str] = set()
  
      def call(hook: str, *_: Any, **__: Any) -> None:
          checker.add(hook)
  
      hooks = _get_members_in_different_name(Callback, "train")
      hooks_args = {h: partial(call, h) for h in hooks}
      my_train_unit = DummyTrainUnit(input_dim=input_dim)
  
      train(
          my_train_unit,
          train_dataloader,
          max_epochs=max_epochs,
          max_steps_per_epoch=max_steps_per_epoch,
          callbacks=[Lambda(**hooks_args)],
      )
      self.assertEqual(checker, hooks)
  
imports: import unittest
  from functools import partial
  from inspect import getmembers, isfunction
  from typing import Any, Set, Tuple, Type
  import torch
  from torchtnt.framework._test_utils import DummyEvalUnit, DummyPredictUnit, DummyTrainUnit, generate_random_dataloader
  from torchtnt.framework.callback import Callback
  from torchtnt.framework.callbacks.lambda_callback import Lambda
  from torchtnt.framework.evaluate import evaluate
  from torchtnt.framework.predict import predict
  from torchtnt.framework.state import State
  from torchtnt.framework.train import train
  from torchtnt.framework.unit import TrainUnit
label_desc: Use image node_id 1 for calling the LambdaTest obj's underlying member method code with example usage: obj.test_lambda_callback_train() without return types