code: def setUp(self):
      self.model_sparse_config = [
          {"tensor_fqn": "0.weight", "sparsity_level": 0.8},
          {"tensor_fqn": "2.weight", "sparsity_level": 0.4},
      ]
      self.sorted_sparse_levels = [
          conf["sparsity_level"] for conf in self.model_sparse_config
      ]
      self.initial_sparsity = 0.1
      self.initial_step = 3
  
imports: from torch import nn
  from torch.ao.pruning import WeightNormSparsifier
  from torch.ao.pruning import BaseScheduler, LambdaSL, CubicSL
  from torch.testing._internal.common_utils import TestCase
  import warnings
label_desc: Use image node_id 1 for calling the TestCubicScheduler obj's underlying member method code with example usage: obj.setUp() without return types