code: def test_bmuf_sync(self):
      # Train model for 1 iteration and do bmuf sync without doing warmup
      cfg, args = setup_args()
      iterations = 1
      results = self.bmuf_process(cfg, args, iterations)
      # Make sure params in both machines are same
      assert len(results) == 2
      self.assertAlmostEqual(results[0], results[1])
  
imports: import argparse
  import functools
  import random
  import unittest
  from multiprocessing import Manager
  import torch
  import torch.nn
  from omegaconf import OmegaConf
  from fairseq import optim
  from fairseq.distributed import utils
label_desc: Use image node_id 2 for calling the TestBMUF obj's underlying member method code with example usage: obj.test_bmuf_sync() without return types