Fix 'tuple' object has no attribute 'to_dict' for bert

Author: ahsan-ca

quantization/nlp/bert/migraphx/e2e_migraphx_bert_example.py

@@ -544,17 +544,11 @@ def output_run_config(flags, samples):
         data_reader = BertDataReader(model_path, input_dataset, input_tokens, batch_size, sequence_lengths[-1], flags.query_len, doc_stride[-1], start_index=0, end_index=calib_num)
         calibrator.collect_data(data_reader)
 
-        compute_range = calibrator.compute_data()
+        compute_range = calibrator.compute_range()
 
-        #  ORT returns data as return TensorsData(cal, self.collector.compute_collection_result())
-        #  Need to fix this for serialization but also convert values to float from float32 in order for JSON to correctly
-        #  write out calibration table
-        json_compute_range = {}
-        for k, v in compute_range.data.items():
-            json_compute_range[k] = (float(v.range_value[0]), float(v.range_value[1]))
+        print("Writing calibration table")
 
-
-        write_calibration_table(json_compute_range)
+        write_calibration_table(compute_range)
         print("Calibration is done. Calibration cache is saved to calibration.json")
 
         model_quants = model_quants + "_int8"