code: def get(self, data, target):
      data = data.to(self.device, non_blocking=True)
      target = target.to(self.device, non_blocking=True)
  
      return data, target
  
file_path: autogluon/tabular/src/autogluon/tabular/models/tab_transformer/pretexts.py
imports: from copy import deepcopy
  import numpy
  import torch
  import torch.nn
  from autogluon.core.constants import REGRESSION
label_desc: Use image node_id 3 for calling the SupervisedPretext obj's underlying member method code with example usage: obj.get(data, target) and returns: data,  target