code: def test_neg_fc_add_quantized(
      data_shape, add_op, fc_out_add, scaled_fc_out
  ):
      """
      Test if FullyConnected operator which output is not used for only one 'add_op' input
      is not fused for quantized model.
      See NegFCAdd for used graph example.
      """
      num_hidden = 10
      net = NegFCAdd(
          num_hidden, add_op, fc_out_add, scaled_fc_out, True
      )
      data_shapes = [data_shape, (data_shape[0], num_hidden)]
      attrs = []
      excluded_attrs = ["with_sum"]
      check_neg_fusion_quantized(
          net, attrs, excluded_attrs, data_shapes, name="fc"
      )
  
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 14 for calling a global function with example usage: test_neg_fc_add_quantized(data_shape, add_op, fc_out_add, scaled_fc_out) without return types