def load_qconf_summary(self, qconf_summary):
            r"""
            This function is about load the user qconf_summary, which will overwrite the model's quant_state_map.
            """
            if os.path.exists(qconf_summary) and os.stat(qconf_summary).st_size != 0:
                self._qconf_summary = qconf_summary
                load_qconf_summary_to_model(self, qconf_summary)
            else:
                AssertionError(
                    False,
                    ("Can not load a empty file or none existed file" + qconf_summary),
                )

            This function is about load the user qconf_summary, which will overwrite the model's quant_state_map.
            
intel_extension_for_pytorch/quantization/_quantize_utils.py