code: def test_model_load_skip_flag(self, skip_model_load):
      @mb.program(
          input_specs=[
              mb.TensorSpec(shape=(3,)),
          ]
      )
      def prog(x):
          return mb.relu(x=x, name="relu")
  
      if ct.utils._macos_version() < (12, 0) and not skip_model_load:
          # converting to mlprogram, on macOS < 12
          # should raise a runtime error when skip_model_load is False
          with pytest.warns(RuntimeWarning):
              model = ct.convert(
                  prog,
                  convert_to="mlprogram",
                  skip_model_load=skip_model_load,
              )
      else:
          model = ct.convert(
              prog,
              convert_to="mlprogram",
              skip_model_load=skip_model_load,
          )
  
      assert model is not None
      if skip_model_load:
          assert model.__proxy__ is None
      model_dir = tempfile.TemporaryDirectory()
      filename = os.path.join(model_dir.name, "test.mlpackage")
      model.save(filename)
      assert os.path.exists(filename)
  
imports: import copy
  import os
  import tempfile
  import numpy
  import pytest
  import coremltools
  from coremltools._deps import _HAS_TORCH
  from coremltools.converters.mil import Builder
  from coremltools.converters.mil.mil import Function, Program, get_new_symbol
  from coremltools.converters.mil.testing_utils import get_op_types_in_program
label_desc: Use image node_id 3 for calling the TestMLProgramConverterExamples obj's underlying member method code with example usage: obj.test_model_load_skip_flag(skip_model_load) and returns: mb