code: def decode_tensor(
      self,
      tensor: FV,
      dtype: torch.dtype,
      shape: torch.Size = None,
      device=None,
  ) -> V:
      data = self.decode_vec(tensor, dtype)
      if shape is not None:
          data = data.reshape(shape)
      if device is not None:
          data = data.to(device.to_torch_device())
      return data
  
imports: from typing import List, Optional, Tuple
  import torch
  from fate_utils.ou import CiphertextVector, PlaintextVector
  from fate_utils.ou import Coder
  from fate_utils.ou import Evaluator
  from fate_utils.ou import PK
  from fate_utils.ou import SK
  from fate_utils.ou import keygen
  from .type import TensorEvaluator
label_desc: Use image node_id 7 for calling the Coder obj's underlying member method code with example usage: obj.decode_tensor(tensor, dtype, shape, device) and returns: data