class_docstr: A pytorch based classifier. Used to make sure we make maximum
  utilization of features provided by pytorch without reinventing the wheel.
docstr: Required to make class a member of GPUCompatible Protocol.
docstr_tok: ["Required","to","make","class","a","member","of","GPUCompatible","Protocol","."]
code: def to_device(self, device: str) -> GPUCompatible:
      """
      Required to make class a member of GPUCompatible Protocol.
      """
      import torch
  
      return self.to(torch.device("cuda:{}".format(device)))
  
imports: import numpy
  import pandas
  from numpy.typing import ArrayLike
  from evadb.functions.abstract.abstract_function import AbstractClassifierFunction, AbstractTransformationFunction
  from evadb.functions.gpu_compatible import GPUCompatible
  from evadb.utils.generic_utils import try_to_import_pillow, try_to_import_torch, try_to_import_torchvision
  from PIL import Image
  from torch import nn
  from torchvision.transforms import Compose, transforms
label_desc: Use image node_id 6 for calling the PytorchAbstractClassifierFunction obj's underlying member method code with example usage: obj.to_device(device) and returns: self