code: def __init__(self, stride=0, network="", dataset="", prefix=""):
      super(RPNFPNOHEM3Operator, self).__init__()
      self.stride = int(stride)
      self.prefix = prefix
      generate_config(network, dataset)
      self.mode = (
          config.TRAIN.OHEM_MODE
      )  # 0 for random 10:245, 1 for 10:246, 2 for 10:30, mode 1 for default
      global STAT
      for k in config.RPN_FEAT_STRIDE:
          STAT[k] = [0, 0, 0]
  
file_path: insightface/detection/retinaface/rcnn/PY_OP/rpn_fpn_ohem3.py
imports: from __future__ import print_function
  import sys
  import mxnet
  import numpy
  from distutils.util import strtobool
  from ..config import config, generate_config
label_desc: Use image node_id 1 to create a new RPNFPNOHEM3Operator object from inherited base classes: mx.operator with example: obj = RPNFPNOHEM3Operator(stride, network, dataset, prefix)