code: def setUp(self, seed=0):
      super().setUp()
      torch.manual_seed(seed)
  
      self.model = Model().cuda()
      self.model_ = Model().cuda()
      self.model_.load_state_dict(
          copy.deepcopy(self.model.state_dict())
      )
  
      self.lr = 0.00001
      params = [p for p in self.model.parameters() if p.requires_grad]
      self.optimizer = torch.optim.Adam(params, lr=self.lr)
  
file_path: apex/tests/L0/run_optimizers/test_adam.py
imports: import copy
  import math
  import random
  import unittest
  import torch
  import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 1 for calling the AdamTest obj's underlying member method code with example usage: obj.setUp(seed) without return types