code: def test_large_onnx_no_large_initializer(self):
      model_proto = _linear_regression()
      assert isinstance(model_proto, onnx.ModelProto)
      large_model = onnx.model_container.make_large_model(
          model_proto.graph
      )
      assert isinstance(
          large_model, onnx.model_container.ModelContainer
      )
      with tempfile.TemporaryDirectory() as temp:
          filename = os.path.join(temp, "model.onnx")
          large_model.save(filename)
          copy = onnx.model_container.ModelContainer()
          with self.assertRaises(RuntimeError):
              assert copy.model_proto
          copy.load(filename)
          assert copy.model_proto is not None
          onnx.checker.check_model(copy.model_proto)
  
file_path: onnx/onnx/test/model_container_test.py
imports: import os
  import tempfile
  import unittest
  import numpy
  import onnx
  import onnx.external_data_helper
  import onnx.helper
  import onnx.model_container
  import onnx.numpy_helper
label_desc: Use image node_id 1 for calling the TestLargeOnnx obj's underlying member method code with example usage: obj.test_large_onnx_no_large_initializer() without return types