code: def wrap_like(cls: Type[D], other: D, tensor: torch.Tensor) -> D:
      return cls._wrap(tensor)
  
file_path: vision/torchvision/prototype/datasets/utils/_encoded.py
imports: from __future__ import annotations
  import os
  import sys
  from typing import Any, BinaryIO, Optional, Tuple, Type, TypeVar, Union
  import PIL.Image
  import torch
  from torchvision.prototype.utils._internal import fromfile, ReadOnlyTensorBuffer
  from torchvision.tv_tensors._tv_tensor import TVTensor
label_desc: Use image node_id 3 for calling the EncodedData obj's underlying member method code with example usage: obj.wrap_like(cls, other, tensor) and returns: cls