code: def testHogwildStability_AsyncAdagrad(self):
      NE = 10000
      model = nn.Embedding(NE, 100)
      optimizer = AsyncAdagrad(model.parameters())
      num_processes = mp.cpu_count() // 2 + 1
      self._stress_optimizer(
          model, optimizer, num_processes=num_processes, iterations=50
      )
  
      self.assertLess(model.weight.abs().max(), 1000)
  
imports: import logging
  import os
  import unittest
  from unittest import main, TestCase
  import torch
  import torch.multiprocessing
  import torch.nn
  from torch.optim import Adagrad
  from torchbiggraph.async_adagrad import AsyncAdagrad
  from torchbiggraph.row_adagrad import RowAdagrad
label_desc: Use image node_id 2 for calling the TestOptimizers obj's underlying member method code with example usage: obj.testHogwildStability_AsyncAdagrad() without return types