code: def _get_dummy_step_fn(
      model: Union[nn.Module, DataParallel, DistributedDataParallel]
  ) -> Callable:
      """Get a dummy step function, given model is a (wrapper of) dummy model returned from _get_dummy_model"""
  
      def step_fn(engine, batch):
          """Increment the weight by 1 at each iteration"""
          _unwrap_model(model).weight.data.add_(1)
          return 0
  
      return step_fn
  
imports: import os
  from typing import Any, Callable, Union
  import pytest
  import torch
  import torch.nn
  from torch.nn.parallel import DataParallel, DistributedDataParallel
  import ignite.distributed
  from ignite.engine import Engine, Events
  from ignite.handlers import EMAHandler
label_desc: Use image node_id 4 for calling a global function with example usage: _get_dummy_step_fn(model) and returns: step_fn, int