docstr: save an mlpackage using the save_spec API. Reload the model from disk and verify it works
docstr_tok: ["save","an","mlpackage","using","the","save_spec","API",".","Reload","the","model","from","disk","and","verify","it","works"]
code: def test_save_spec_api(self):
      """
      save an mlpackage using the save_spec API. Reload the model from disk and verify it works
      """
      spec = self.mlmodel.get_spec()
      with tempfile.TemporaryDirectory(
          suffix=utils._MLPACKAGE_EXTENSION
      ) as model_path:
          utils.save_spec(
              spec, model_path, weights_dir=self.mlmodel.weights_dir
          )
          model = MLModel(model_path)
          self._test_mlmodel_correctness(model)
  
imports: import os
  import shutil
  import tempfile
  import numpy
  import pytest
  import coremltools
  from coremltools import ComputeUnit, utils
  from coremltools._deps import _HAS_TORCH
  from coremltools.converters.mil import Builder
  from coremltools.libmodelpackage import ModelPackage
  from coremltools.models import MLModel
  from coremltools.models.utils import _MLPACKAGE_AUTHOR_NAME, _WEIGHTS_DIR_NAME
  from coremltools.proto import Model_pb2
label_desc: Use image node_id 8 for calling the TestSpecAndMLModelAPIs obj's underlying member method code with example usage: obj.test_save_spec_api() without return types