code: def test_predict_generator_multi_dict_io(self):
      num_steps = 10
      generator = some_data_tensor_generator_dict_io(
          ModelMultiDictIOTest.batch_size
      )
      generator = (x for x, _ in generator)
      pred_y = self.model.predict_generator(generator, steps=num_steps)
      self._test_size_and_type_for_generator(
          pred_y, (num_steps * ModelMultiDictIOTest.batch_size, 1)
      )
  
imports: import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from poutyne import Model
  from tests.framework.model.base import ModelFittingTestCase
label_desc: Use image node_id 8 for calling the ModelMultiDictIOTest obj's underlying member method code with example usage: obj.test_predict_generator_multi_dict_io() without return types