code: def _validate_parameters(self, params_1, params_2):
      for p1, p2 in zip(params_1, params_2):
          self.assertEqual(p1, p2)
  
imports: from typing import List, Optional, Tuple
  import unittest
  import torch
  import torch.distributed
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from torch.optim import SGD, Adam, AdamW
  from torch.testing._internal.common_utils import TestCase, run_tests
label_desc: Use image node_id 1 for calling the TestFunctionalOptimParity obj's underlying member method code with example usage: obj._validate_parameters(params_1, params_2) without return types