code: def decode_vec(self, vec: FV, dtype: torch.dtype) -> V:
      # if dtype == torch.float64:
      #     return self.decode_f64_vec(vec)
      # if dtype == torch.float32:
      #     return self.decode_f32_vec(vec)
      if dtype == torch.int64:
          return self.decode_i64_vec(vec)
      if dtype == torch.int32:
          return self.decode_i32_vec(vec)
      raise NotImplementedError(f"{dtype} not supported")
  
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 9 for calling the Coder obj's underlying member method code with example usage: obj.decode_vec(vec, dtype) and returns: self, self