code: def test_Attention():
      distiller = Attention(
          teacher,
          student,
          train_loader,
          test_loader,
          t_optimizer,
          s_optimizer,
      )
  
      distiller.train_teacher(
          epochs=1, plot_losses=False, save_model=False
      )
      distiller.train_student(
          epochs=1, plot_losses=False, save_model=False
      )
      distiller.evaluate(teacher=False)
      distiller.get_parameters()
  
imports: from copy import deepcopy
  import pandas
  import torch.optim
  from torch.utils.data import DataLoader
  from KD_Lib.KD import BANN, DML, RCO, TAKD, Attention, LabelSmoothReg, MeanTeacher, MessyCollab, NoisyTeacher, ProbShift, SelfTraining, SoftRandom, VanillaKD, VirtualTeacher
  from KD_Lib.KD.text.BERT2LSTM import BERT2LSTM
  from KD_Lib.KD.text.BERT2LSTM.utils import get_essentials
  from .utils import MockImageClassifier, MockVisionDataset
label_desc: Use image node_id 3 for calling a global function with example usage: test_Attention() without return types