code: def __lt__(self, other):
      if is_masked_tensor(other):
          return MaskedTensor(
              self.get_data() < _get_data(other), self.get_mask()
          )
      return MaskedTensor(self.get_data() < other, self.get_mask())
  
imports: import warnings
  import torch
  from torch.overrides import get_default_nowrap_functions
label_desc: Use image node_id 11 for calling the MaskedTensor obj's underlying member method code with example usage: obj.__lt__(other) and returns: MaskedTensor, MaskedTensor