code: def test_tensor_predict_on_batch_multi_dict_io(self):
      x1 = torch.rand(ModelMultiDictIOTest.batch_size, 1)
      x2 = torch.rand(ModelMultiDictIOTest.batch_size, 1)
      pred_y = self.model.predict_on_batch(dict(x1=x1, x2=x2))
      self._test_size_and_type_for_generator(
          pred_y, (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 9 for calling the ModelMultiDictIOTest obj's underlying member method code with example usage: obj.test_tensor_predict_on_batch_multi_dict_io() without return types