code: def ResNet18(num_classes=10):
      return ResNet(BasicBlock, [2, 2, 2, 2], num_classes=num_classes)
  
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 art.estimators.classification import PyTorchClassifier
  from art.data_generators import PyTorchDataGenerator
  from art.defences.trainer import AdversarialTrainerOAATPyTorch
  from art.utils import load_cifar10
  from art.attacks.evasion import ProjectedGradientDescent
label_desc: Use image node_id 1 for calling a global function with example usage: ResNet18(num_classes) and returns: ResNet