code: def _masks_match(a, b):
      if is_masked_tensor(a) and is_masked_tensor(b):
          mask_a = a.get_mask()
          mask_b = b.get_mask()
          return _tensors_match(mask_a, mask_b, exact=True)
      return True
  
imports: import warnings
  import torch
  from torch.overrides import get_default_nowrap_functions
label_desc: Use image node_id 3 for calling a global function with example usage: _masks_match(a, b) and returns: True, _tensors_match