code: def on_train_end(self, trainer, model):
      print(
          "Training ends:"
          f"epcoh_end_counter={self.epcoh_end_counter}, "
          f"train_epcoh_end_counter={self.train_epcoh_end_counter}, "
          f"validation_epoch_end_counter={self.validation_epoch_end_counter} \n"
      )
      assert self.train_epcoh_end_counter <= self.epochs
      assert (
          self.train_epcoh_end_counter
          + self.validation_epoch_end_counter
          == self.epcoh_end_counter
      )
  
file_path: SynapseML/deep-learning/src/test/python/synapsemltest/dl/test_deep_vision_model.py
imports: import os
  import random
  from os.path import join
  import numpy
  import torch
  from PIL import Image
  from pytorch_lightning import Trainer
  from pytorch_lightning.callbacks import Callback
  from torch.utils.data import DataLoader, Dataset
  from synapse.ml.dl import *
label_desc: Use image node_id 7 for calling the MyDummyCallback obj's underlying member method code with example usage: obj.on_train_end(trainer, model) without return types