docstr: Args:
      index (int): Index
  
  Returns:
      tuple: (image, target) where target is index of the target class.
code: def __getitem__(self, index: int):
      """
      Args:
          index (int): Index
  
      Returns:
          tuple: (image, target) where target is index of the target class.
      """
      img = self.data[index].float().unsqueeze(0) / 255.0
      target = int(self.targets[index])
  
      if self.transform is not None:
          img = self.transform(img)
  
      if self.target_transform is not None:
          target = self.target_transform(target)
  
      return img, target
  
file_path: avalanche/avalanche/benchmarks/datasets/external_datasets/mnist.py
imports: import dill
  from torchvision.datasets import MNIST
  from avalanche.benchmarks.datasets import default_dataset_location
label_desc: Use image node_id 1 for calling the TensorMNIST obj's underlying member method code with example usage: obj.__getitem__(index) and returns: img,  target