code: def _make_dense_block(
      num_layers, bn_size, growth_rate, dropout, stage_index
  ):
      out = nn.HybridSequential(prefix="stage%d_" % stage_index)
      with out.name_scope():
          for _ in range(num_layers):
              out.add(_make_dense_layer(growth_rate, bn_size, dropout))
      return out
  
file_path: insightface/recognition/subcenter_arcface/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 2 for calling a global function with example usage: _make_dense_block(num_layers, bn_size, growth_rate, dropout, stage_index) and returns: out