code: def get_ssh_train():
      """
      Region Proposal Network with VGG
      :return: Symbol
      """
      data = mx.symbol.Variable(name="data")
  
      # shared convolutional layers
      conv_fpn_feat = get_ssh_conv(data)
      ret_group = []
      for stride in config.RPN_FEAT_STRIDE:
          ret = get_out(
              conv_fpn_feat,
              "face",
              stride,
              config.FACE_LANDMARK,
              lr_mult=1.0,
          )
          ret_group += ret
          if config.HEAD_BOX:
              ret = get_out(
                  conv_fpn_feat, "head", stride, False, lr_mult=1.0
              )
              ret_group += ret
  
      return mx.sym.Group(ret_group)
  
file_path: insightface/detection/retinaface/rcnn/symbol/symbol_ssh.py
imports: import mxnet
  import numpy
  from rcnn.config import config
  from rcnn.PY_OP import rpn_fpn_ohem3
label_desc: Use image node_id 9 for calling a global function with example usage: get_ssh_train() and returns: mx