code: def __getitem__(self, index):
      x = Image.fromarray(
          ((self.data[index] * 255).round())
          .astype(np.uint8)
          .transpose(1, 2, 0)
      )
      x = self.transform(x)
      y = self.targets[index]
      return x, y
  
imports: from PIL import Image
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  import torchvision.transforms
  from torch.utils.data import Dataset, DataLoader
  from torch.optim.lr_scheduler import MultiStepLR
  from art.estimators.classification import PyTorchClassifier
  from art.data_generators import PyTorchDataGenerator
  from art.defences.trainer import AdversarialTrainerTRADESPyTorch
  from art.utils import load_cifar10
  from art.attacks.evasion import ProjectedGradientDescent
label_desc: Use image node_id 2 for calling the CIFAR10_dataset obj's underlying member method code with example usage: obj.__getitem__(index) and returns: x,  y