code: def get_symbol():
      num_layers = config.num_layers
      num_init_features, growth_rate, block_config = densenet_spec[
          num_layers
      ]
      net = DenseNet(
          num_init_features,
          growth_rate,
          block_config,
          dropout=config.densenet_dropout,
      )
      data = mx.sym.Variable(name="data")
      data = data - 127.5
      data = data * 0.0078125
      body = net(data)
      fc1 = symbol_utils.get_fc1(
          body, config.emb_size, config.net_output
      )
      return fc1
  
file_path: insightface/recognition/arcface_mxnet/symbol/fdensenet.py
imports: import sys
  import os
  import mxnet
  import mxnet.ndarray
  import mxnet.gluon
  import mxnet.gluon.nn
  import mxnet.autograd
  import symbol_utils
  from config import config
label_desc: Use image node_id 5 for calling a global function with example usage: get_symbol() and returns: fc1