code: def forward(self, x):
      out = F.relu(self.bn1(self.conv1(x)))
      out = self.bn2(self.conv2(out))
      out += self.shortcut(x)
      out = F.relu(out)
      return out
  
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 BasicBlock obj's underlying member method code with example usage: obj.forward(x) and returns: out