code: def add_pointrend_config(cfg):
      """
      Add config for PointRend.
      """
      # We retry random cropping until no single category in semantic segmentation GT occupies more
      # than `SINGLE_CATEGORY_MAX_AREA` part of the crop.
      cfg.INPUT.CROP.SINGLE_CATEGORY_MAX_AREA = 1.0
      # Color augmentatition from SSD paper for semantic segmentation model during training.
      cfg.INPUT.COLOR_AUG_SSD = False
  
      # Names of the input feature maps to be used by a coarse mask head.
      cfg.MODEL.ROI_MASK_HEAD.IN_FEATURES = ("p2",)
      cfg.MODEL.ROI_MASK_HEAD.FC_DIM = 1024
      cfg.MODEL.ROI_MASK_HEAD.NUM_FC = 2
      # The side size of a coarse mask head prediction.
      cfg.MODEL.ROI_MASK_HEAD.OUTPUT_SIDE_RESOLUTION = 7
      # True if point head is used.
      cfg.MODEL.ROI_MASK_HEAD.POINT_HEAD_ON = False
  
      cfg.MODEL.POINT_HEAD = CN()
      cfg.MODEL.POINT_HEAD.NAME = "StandardPointHead"
      cfg.MODEL.POINT_HEAD.NUM_CLASSES = 80
      # Names of the input feature maps to be used by a mask point head.
      cfg.MODEL.POINT_HEAD.IN_FEATURES = ("p2",)
      # Number of points sampled during training for a mask point head.
      cfg.MODEL.POINT_HEAD.TRAIN_NUM_POINTS = 14 * 14
      # Oversampling parameter for PointRend point sampling during training. Parameter `k` in the
      # original paper.
      cfg.MODEL.POINT_HEAD.OVERSAMPLE_RATIO = 3
      # Importance sampling parameter for PointRend point sampling during training. Parametr `beta` in
      # the original paper.
      cfg.MODEL.POINT_HEAD.IMPORTANCE_SAMPLE_RATIO = 0.75
      # Number of subdivision steps during inference.
      cfg.MODEL.POINT_HEAD.SUBDIVISION_STEPS = 5
      # Maximum number of points selected at each subdivision step (N).
      cfg.MODEL.POINT_HEAD.SUBDIVISION_NUM_POINTS = 28 * 28
      cfg.MODEL.POINT_HEAD.FC_DIM = 256
      cfg.MODEL.POINT_HEAD.NUM_FC = 3
      cfg.MODEL.POINT_HEAD.CLS_AGNOSTIC_MASK = False
      # If True, then coarse prediction features are used as inout for each layer in PointRend's MLP.
      cfg.MODEL.POINT_HEAD.COARSE_PRED_EACH_LAYER = True
      cfg.MODEL.POINT_HEAD.COARSE_SEM_SEG_HEAD_NAME = "SemSegFPNHead"
  
      """
      Add config for Implicit PointRend.
      """
      cfg.MODEL.IMPLICIT_POINTREND = CN()
  
      cfg.MODEL.IMPLICIT_POINTREND.IMAGE_FEATURE_ENABLED = True
      cfg.MODEL.IMPLICIT_POINTREND.POS_ENC_ENABLED = True
  
      cfg.MODEL.IMPLICIT_POINTREND.PARAMS_L2_REGULARIZER = 0.00001
  
label_desc: Use image node_id 1 for calling a global function with example usage: add_pointrend_config(cfg) without return types