code: def has_mask(self):
      if self.mask_roi_pool is None:
          return False
      if self.mask_head is None:
          return False
      if self.mask_predictor is None:
          return False
      return True
  
imports: from typing import Dict, List, Optional, Tuple
  import torch
  import torch.nn.functional
  import torchvision
  from torch import nn, Tensor
  from torchvision.ops import boxes, roi_align
  from .None import _utils
label_desc: Use image node_id 2 for calling the RoIHeads obj's underlying member method code with example usage: obj.has_mask() and returns: True, False, False, False