code: def test_predict_generator_multi_io(self):
      num_steps = 10
      generator = some_data_tensor_generator_multi_io(
          ModelMultiIOTest.batch_size
      )
      generator = (x for x, _ in generator)
      pred_y = self.model.predict_generator(generator, steps=num_steps)
  
      for pred in pred_y:
          self.assertEqual(
              pred.shape, (num_steps * ModelMultiIOTest.batch_size, 1)
          )
  
file_path: poutyne/tests/framework/model/test_multi_io.py
imports: import numpy
  import torch
  import torch.nn
  from poutyne import Model
  from tests.framework.model.base import ModelFittingTestCase, MultiIOModel
label_desc: Use image node_id 9 for calling the ModelMultiIOTest obj's underlying member method code with example usage: obj.test_predict_generator_multi_io() without return types