code: def _post_execution(self, q_model):
      return KerasONNXRuntimeModel(
          q_model.model,
          onnxruntime_session_options=self.session_options,
      )
  
file_path: BigDL/python/nano/src/bigdl/nano/deps/neural_compressor/onnx/tensorflow/quantization.py
imports: import numpy
  import tensorflow
  from bigdl.nano.utils.tf import tensors_to_numpy
  from bigdl.nano.deps.onnxruntime.tensorflow.model import KerasONNXRuntimeModel
  from ..quantization import BaseONNXRuntimeQuantization
  from .metric import KerasONNXRuntimeINCMetic
label_desc: Use image node_id 3 for calling the KerasONNXRuntimeQuantization obj's underlying member method code with example usage: obj._post_execution(q_model) and returns: KerasONNXRuntimeModel