class_docstr: CrypTensor class that uses plaintext PyTorch tensors as underlying backend.
  This class should be used for testing purposes.
code: def clone(self):
      result = PyTorchTensor([])
      result._tensor = self._tensor.clone()
      return result
  
imports: import torch
  from crypten import CrypTensor, register_cryptensor
label_desc: Use image node_id 4 for calling the PyTorchTensor obj's underlying member method code with example usage: obj.clone() and returns: result