code: def test_resolve_callbacks_multi_error(tmpdir):
      model = DummyClassifier()
      trainer = Trainer(fast_dev_run=True, default_root_dir=tmpdir)
      task = MultiFinetuneClassificationTask(model, loss_fn=F.nll_loss)
      with pytest.raises(ValueError):
          trainer._resolve_callbacks(task, None)
  
imports: from argparse import ArgumentParser
  from typing import Any, Tuple, Union
  import pytest
  import torch
  from flash import Trainer
  from flash.core.classification import ClassificationTask
  from flash.core.utilities.imports import _TOPIC_CORE_AVAILABLE
  from pytorch_lightning.callbacks.early_stopping import EarlyStopping
  from pytorch_lightning.callbacks.finetuning import BaseFinetuning
  from pytorch_lightning.core.lightning import LightningModule
  from torch import nn
  from torch.nn import functional
  from torch.optim.optimizer import Optimizer
  from torch.utils.data import DataLoader
label_desc: Use image node_id 4 for calling a global function with example usage: test_resolve_callbacks_multi_error(tmpdir) without return types