code: def test_tensor_predict_on_batch_multi_output(self):
      x = torch.rand(ModelMultiOutputTest.batch_size, 1)
      pred_y = self.model.predict_on_batch(x)
      self._test_size_and_type_for_generator(
          pred_y, (ModelMultiOutputTest.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 13 for calling the ModelMultiOutputTest obj's underlying member method code with example usage: obj.test_tensor_predict_on_batch_multi_output() without return types