class_docstr: A pytorch based classifier. Used to make sure we make maximum
  utilization of features provided by pytorch without reinventing the wheel.
code: def get_device(self):
      return next(self.parameters()).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 2 for calling the PytorchAbstractClassifierFunction obj's underlying member method code with example usage: obj.get_device() and returns: next