code: def test_train_on_batch_with_pred_multi_dict_io(self):
      x, y = get_batch(ModelMultiDictIOTest.batch_size)
      loss, pred_y = self.model.train_on_batch(x, y, return_pred=True)
      self.assertEqual(type(loss), float)
      for value in pred_y.values():
          self.assertEqual(
              value.shape, (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 4 for calling the ModelMultiDictIOTest obj's underlying member method code with example usage: obj.test_train_on_batch_with_pred_multi_dict_io() without return types