code: def test_configure_optimizers(multimodal_model):
      optimizer = multimodal_model.configure_optimizers()
      assert isinstance(optimizer, torch.optim.Optimizer)
  
imports: import pytest
  import torch
  import torch.nn
  from torch.utils.data import DataLoader, TensorDataset
  from kale.embed.image_cnn import SimpleCNNBuilder
  from kale.pipeline.base_nn_trainer import BaseNNTrainer, CNNTransformerTrainer, MultimodalNNTrainer
  from kale.predict.class_domain_nets import ClassNet
label_desc: Use image node_id 9 for calling a global function with example usage: test_configure_optimizers(multimodal_model) without return types