code: def test_adagrad_option(self):
      nelem = 1
      adagrad_option = {"lr": 0.01, "eps": 3e-06, "weight_decay": 0}
  
      tensor = torch.rand(nelem, dtype=torch.float, device="cuda")
      ref_param, tst_param, ref_optim, tst_optim = self.gen_param_optim(
          [tensor], adagrad_option
      )
  
      for _ in range(self.iters):
          self.gen_grad(ref_param, tst_param)
          ref_optim.step()
          tst_optim.step()
          max_abs_diff, max_rel_diff = self.get_max_diff(
              ref_param, tst_param
          )
  
          self.assertLessEqual(max_abs_diff, self.max_abs_diff)
          self.assertLessEqual(max_rel_diff, self.max_rel_diff)
  
imports: from itertools import product
  import random
  import unittest
  import torch
  import apex
label_desc: Use image node_id 7 for calling the TestFusedAdagrad obj's underlying member method code with example usage: obj.test_adagrad_option() without return types