docstr: load a spec from disk, then convert it to mlmodel, and check that it works
docstr_tok: ["load","a","spec","from","disk",",","then","convert","it","to","mlmodel",",","and","check","that","it","works"]
code: def test_path_to_spec_to_mlmodel(self):
      """
      load a spec from disk, then convert it to mlmodel, and check that it works
      """
      spec = utils.load_spec(self.mlpackage_path)
      weights_dir = (
          self.mlpackage_path
          + "/Data/"
          + _MLPACKAGE_AUTHOR_NAME
          + "/weights"
      )
      mlmodel = MLModel(spec, weights_dir=weights_dir)
      self._test_mlmodel_correctness(mlmodel)
  
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 6 for calling the TestSpecAndMLModelAPIs obj's underlying member method code with example usage: obj.test_path_to_spec_to_mlmodel() without return types