code: def test_static_address_finalizer(self):
      p_ref = None
  
      def fn():
          nonlocal p_ref
          mod = torch.nn.Linear(10, 10, device="cuda:0", bias=False)
          for p in mod.parameters():
              p.grad = torch.rand_like(p)
  
          opt = torch.optim.Adam(mod.parameters(), lr=0.1)
  
          def fn():
              opt.step()
  
          with torch.set_grad_enabled(False):
              step_fn_compiled = torch.compile(fn)
              step_fn_compiled()
          p_ref = weakref.ref(p)
          self.assertTrue(p_ref() is not None)
  
      fn()
  
      self.assertTrue(p_ref() is None)
  
imports: import sys
  import unittest
  import weakref
  from copy import deepcopy
  from typing import NamedTuple
  import torch
  import torch._inductor
  from torch.optim import Adadelta, Adagrad, Adam, AdamW, ASGD, NAdam, RMSprop, Rprop
  from torch.testing._internal.common_optimizers import optim_db
  from torch.testing._internal.common_utils import TestCase
  from torch.testing._internal.inductor_utils import HAS_CPU, HAS_CUDA
label_desc: Use image node_id 3 for calling the CompiledOptimizerTests obj's underlying member method code with example usage: obj.test_static_address_finalizer() without return types