code: def set_to_eval(self):
      for T in self.trainable_attributes():
          for v in T.values():
              v.eval()
  
imports: import torch
  import tqdm
  from ..utils import common_functions
  from ..utils import loss_tracker
  from ..utils.key_checker import KeyChecker, KeyCheckerDict
label_desc: Use image node_id 29 for calling the BaseTrainer obj's underlying member method code with example usage: obj.set_to_eval() without return types