code: def test_large_one_weight_file(self):
      large_model = _large_linear_regression()
      assert isinstance(
          large_model, onnx.model_container.ModelContainer
      )
      with tempfile.TemporaryDirectory() as temp:
          filename = os.path.join(temp, "model.onnx")
          saved_proto = large_model.save(filename, True)
          assert isinstance(saved_proto, onnx.ModelProto)
          copy = onnx.model_container.ModelContainer()
          copy.load(filename)
          copy.check_model()
          loaded_model = onnx.load_model(
              filename, load_external_data=True
          )
          onnx.checker.check_model(loaded_model)
  
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 2 for calling the TestLargeOnnx obj's underlying member method code with example usage: obj.test_large_one_weight_file() without return types