code: def test_predict_generator_multi_input(self):
      num_steps = 10
      generator = some_data_tensor_generator_multi_input(
          ModelMultiInputTest.batch_size
      )
      generator = (x for x, _ in generator)
      pred_y = self.model.predict_generator(generator, steps=num_steps)
      self.assertEqual(type(pred_y), np.ndarray)
      self.assertEqual(
          pred_y.shape, (num_steps * ModelMultiInputTest.batch_size, 1)
      )
  
imports: import numpy
  import torch
  import torch.nn
  from torch.utils.data import DataLoader
  from poutyne import Model, TensorDataset
  from tests.framework.model.base import ModelFittingTestCase, MultiIOModel
label_desc: Use image node_id 15 for calling the ModelMultiInputTest obj's underlying member method code with example usage: obj.test_predict_generator_multi_input() without return types