code: def encode(self, tensor: torch.Tensor):
      if isinstance(tensor, torch.Tensor):
          from fate.arch.unify import device
  
          from ._tensor import PHETensorEncoded
  
          shape = tensor.shape
          dtype = tensor.dtype
          data = self._coder.encode_tensor(tensor, dtype)
          return PHETensorEncoded(
              self._coder,
              shape,
              data,
              tensor.dtype,
              device.from_torch_device(tensor.device),
          )
      elif hasattr(tensor, "encode"):
          return tensor.encode(self)
      else:
          raise NotImplementedError(f"`{tensor}` not supported")
  
imports: import typing
  import torch
label_desc: Use image node_id 2 for calling the PHETensorCoder obj's underlying member method code with example usage: obj.encode(tensor) and returns: PHETensorEncoded, tensor