code: def test_tensor_evaluate_on_batch_multi_dict_io(self):
      x, y = get_batch(ModelMultiDictIOTest.batch_size)
      loss = self.model.evaluate_on_batch(x, y)
      self.assertEqual(type(loss), float)
  
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 7 for calling the ModelMultiDictIOTest obj's underlying member method code with example usage: obj.test_tensor_evaluate_on_batch_multi_dict_io() without return types