code: def __init__(self, t: A.Compose):
      self.transforms = t
  
imports: from __future__ import annotations
  import logging
  from pathlib import Path
  import albumentations
  import numpy
  import torch
  import tqdm
  from albumentations.pytorch import ToTensorV2
  from omegaconf import DictConfig, ListConfig
  from pytorch_lightning.utilities.types import STEP_OUTPUT
  from torch import Tensor, optim
  from torch.utils.data import DataLoader
  from torchvision.datasets import ImageFolder
  from anomalib.data.utils import DownloadInfo, download_and_extract
  from anomalib.models.components import AnomalyModule
  from .torch_model import EfficientAdModel, EfficientAdModelSize, reduce_tensor_elems
label_desc: Use image node_id 1 to create a new TransformsWrapper object  with example: obj = TransformsWrapper(t)