code: def _val_to_device(cls, v, device, non_blocking=False, copy=False):
      if isinstance(v, torch.Tensor):
          return v.to(
              device=device, non_blocking=non_blocking, copy=copy
          )
      else:
          return v
  
imports: import numpy
  from typing import NamedTuple, Mapping, Dict
  from enum import Enum
  from dataclasses import dataclass
  import torch
  import torch.utils.data.dataloader
  from jiant.utils.python.datastructures import ExtendedDataClassMixin, combine_dicts
label_desc: Use image node_id 2 for calling the BatchMixin obj's underlying member method code with example usage: obj._val_to_device(cls, v, device, non_blocking, copy) and returns: v, v