code: def __init__(self):
      super(DummyModel, self).__init__()
      self.net = nn.Linear(1, 1)
  
imports: import os
  import sys
  from unittest.mock import call, MagicMock
  import pytest
  import torch
  import torch.nn
  from torch.utils.data.distributed import DistributedSampler
  import ignite.contrib.handlers
  import ignite.distributed
  from ignite.contrib.engines.common import _setup_logging, add_early_stopping_by_val_score, gen_save_best_models_by_val_score, save_best_model_by_val_score, setup_any_logging, setup_clearml_logging, setup_common_training_handlers, setup_mlflow_logging, setup_neptune_logging, setup_plx_logging, setup_tb_logging, setup_trains_logging, setup_visdom_logging, setup_wandb_logging
  from ignite.engine import Engine, Events
  from ignite.handlers import DiskSaver, TerminateOnNan
label_desc: Use image node_id 1 to create a new DummyModel object from inherited base classes: nn with example: obj = DummyModel()