code: def test_strategy_default(self):
      torch.random.manual_seed(0)
      x = torch.randn(2, 50)
  
      module = DefaultModuleAdapter()
      module.add_adapter(name="temp", cfg=get_adapter_cfg())
      adapter = module.adapter_layer[module.get_enabled_adapters()[0]]
  
      # update the strategy
      adapter_strategy = (
          adapter_mixin_strategies.ResidualAddAdapterStrategy()
      )
      adapter.adapter_strategy = adapter_strategy
  
      with torch.no_grad():
          assert adapter_strategy.stochastic_depth == 0.0
          out = adapter_strategy.forward(x, adapter, module=module)
          assert (out - x).abs().mean() < 1e-5
  
imports: import pytest
  import torch
  from nemo.core import NeuralModule
  from nemo.core.classes.mixins import AdapterModuleMixin, access_mixins, adapter_mixin_strategies, adapter_mixins
  from nemo.utils import config_utils
label_desc: Use image node_id 2 for calling the TestAdapterStrategy obj's underlying member method code with example usage: obj.test_strategy_default() without return types