code: def test_tensor_predict_on_batch_multi_io(self):
      x = (
          torch.rand(ModelMultiIOTest.batch_size, 1),
          torch.rand(ModelMultiIOTest.batch_size, 1),
      )
      pred_y = self.model.predict_on_batch(x)
      self._test_size_and_type_for_generator(
          pred_y, (ModelMultiIOTest.batch_size, 1)
      )
  
file_path: poutyne/tests/framework/model/test_multi_io.py
imports: import numpy
  import torch
  import torch.nn
  from poutyne import Model
  from tests.framework.model.base import ModelFittingTestCase, MultiIOModel
label_desc: Use image node_id 10 for calling the ModelMultiIOTest obj's underlying member method code with example usage: obj.test_tensor_predict_on_batch_multi_io() without return types