code: def _run(self, *args, inputdimensions=None):  # type: ignore
      args = [  # type: ignore
          self._preprocess(a, axis)
          for a, axis in zip(args, inputdimensions)
      ]
      res = np.concatenate(args, axis=1)
      return (res,)
  
imports: import numpy
  from onnx.reference.ops.aionnxml._op_run_aionnxml import OpRunAiOnnxMl
label_desc: Use image node_id 2 for calling the FeatureVectorizer obj's underlying member method code with example usage: obj._run() and returns: res