code: def decode(self, tensor: "PHETensorEncoded"):
      from ._tensor import PHETensorEncoded
  
      if isinstance(tensor, PHETensorEncoded):
          return self._coder.decode_tensor(
              tensor.data, tensor.dtype, tensor.shape, tensor.device
          )
      elif hasattr(tensor, "decode"):
          return tensor.decode(self)
      else:
          raise NotImplementedError(f"`{tensor}` not supported")
  
imports: import typing
  import torch
label_desc: Use image node_id 4 for calling the PHETensorCoder obj's underlying member method code with example usage: obj.decode(tensor) and returns: self, tensor