code: def run_training_test(
      self,
      accumulate_grad_batches,
      validate_original_weights,
      accelerator,
      precision,
      tmpdir,
  ):
      pl.seed_everything(123)
      model = ExampleModel()
      trainer = Trainer(
          max_epochs=1,
          precision=precision,
          limit_train_batches=10,
          limit_val_batches=10,
          logger=False,
          accumulate_grad_batches=accumulate_grad_batches,
          num_sanity_val_steps=0,
          enable_model_summary=False,
          enable_checkpointing=False,
          accelerator=accelerator,
          devices=1,
      )
      exp_manager(
          trainer,
          {
              "ema": {
                  "enable": True,
                  "validate_original_weights": validate_original_weights,
                  "decay": 0.999,
              },
              "explicit_log_dir": str(tmpdir),
              "checkpoint_callback_params": {
                  "filename": f"{{epoch}}-{{step}}"
              },
          },
      )
      # add the check callback after the exp manager has made modifications.
      trainer.callbacks.append(EMAAssertCallback())
      trainer.callbacks.insert(0, EMAValidationAssertCallback())
      trainer.fit(model=model, val_dataloaders=model.train_dataloader())
  
imports: import os.path
  from typing import Any, Dict, Union
  import pytest
  import pytorch_lightning
  import torch
  from omegaconf import DictConfig, OmegaConf
  from pytorch_lightning import Callback, Trainer
  from pytorch_lightning.utilities.exceptions import MisconfigurationException
  from pytorch_lightning.utilities.types import STEP_OUTPUT
  from nemo.collections.common.callbacks import EMA
  from nemo.collections.common.callbacks.ema import EMAOptimizer
  from nemo.core import ModelPT
  from nemo.utils.exp_manager import exp_manager
label_desc: Use image node_id 3 for calling the TestEMATrain obj's underlying member method code with example usage: obj.run_training_test(accumulate_grad_batches, validate_original_weights, accelerator, precision, tmpdir) without return types