code: def __call__(self, image, target):
      image = F.to_tensor(image)
      target = torch.as_tensor(np.array(target), dtype=torch.int64)
      return image, target
  
imports: import numpy
  import random
  import torch
  from torchvision import transforms
  from torchvision.transforms import functional
label_desc: Use image node_id 1 for calling the ToTensor obj's underlying member method code with example usage: obj.__call__(image, target) and returns: image,  target