code: def test_evaluate_generator_multi_input(self):
      num_steps = 10
      generator = some_data_tensor_generator_multi_input(
          ModelMultiInputTest.batch_size
      )
      loss, pred_y = self.model.evaluate_generator(
          generator, steps=num_steps, return_pred=True
      )
      self.assertEqual(type(loss), float)
      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 11 for calling the ModelMultiInputTest obj's underlying member method code with example usage: obj.test_evaluate_generator_multi_input() without return types