class_docstr: CrypTensor class that uses plaintext PyTorch tensors as underlying backend.
  This class should be used for testing purposes.
docstr: Returns 1 for elements that are < 0 and 0 otherwise
docstr_tok: ["Returns","1","for","elements","that","are","<","0","and","0","otherwise"]
code: def _ltz(self):
      """Returns 1 for elements that are < 0 and 0 otherwise"""
      result = self.clone()
      result._tensor = result._tensor.lt(0).to(self.dtype)
      return result
  
imports: import torch
  from crypten import CrypTensor, register_cryptensor
label_desc: Use image node_id 17 for calling the PyTorchTensor obj's underlying member method code with example usage: obj._ltz() and returns: result