class_docstr: Use PyTorch torchvision transforms as EvaDB transforms.
code: def __init__(self, transforms):
      Compose.__init__(self, transforms)
  
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 1 to create a new PytorchAbstractTransformationFunction object from inherited base classes: AbstractTransformationFunction, Compose with example: obj = PytorchAbstractTransformationFunction(transforms)