code: def test_add_quantized(
      add_op, quantize_mode, out_type, relu, broadcast, calib_mode
  ):
      """
      The test check results from quantization of simple graph
      with npi_add or elemwise_add with additional relu which force
      unsigned representation of one inputs to the add operator.
      Due to construction of quantization code unsigned int8 is never choosen
      for scenario without calibration as operators always raports min = -max
      """
      broadcastB = broadcast == "broadcast"
      if broadcastB and add_op == "ele_add":
          # elemwise_Add doesn't support broadcasting
          pytest.skip()
      data_shape = DATA_SHAPE[0]
      function_add_quantized(
          data_shape,
          add_op,
          quantize_mode,
          relu,
          out_type,
          broadcastB,
          calib_mode,
      )
  
imports: import mxnet
  import pytest
  from subgraph_common import check_fusion, check_neg_fusion, check_neg_fusion_quantized, check_quantize
  from subgraph_common import CustomNormalInit, DATA_SHAPE, TailNegBlock
  from mxnet.contrib import quantization
  from mxnet.gluon import nn
  from mxnet.test_utils import assert_almost_equal_with_err
label_desc: Use image node_id 16 for calling a global function with example usage: test_add_quantized(add_op, quantize_mode, out_type, relu, broadcast, calib_mode) without return types