class_docstr: CrypTensor class that uses plaintext PyTorch tensors as underlying backend.
  This class should be used for testing purposes.
code: def conv1d(self, kernel, *args, **kwargs):
      result = self.clone()
      kernel = getattr(kernel, "_tensor", kernel)
      result._tensor = torch.nn.functional.conv1d(
          result._tensor, kernel, *args, **kwargs
      )
      return result
  
imports: import torch
  from crypten import CrypTensor, register_cryptensor
label_desc: Use image node_id 11 for calling the PyTorchTensor obj's underlying member method code with example usage: obj.conv1d(kernel) and returns: result