code: def test_linear_adapter_norm_position(self, norm_position):
      torch.random.manual_seed(0)
      x = torch.randn(2, 50)
  
      adapter = adapter_modules.LinearAdapter(
          in_features=50, dim=5, norm_position=norm_position
      )
  
      with torch.no_grad():
          assert adapter.module[-1].weight.sum() == 0
          if (
              hasattr(adapter.module[-1], "bias")
              and adapter.module[-1].bias is not None
          ):
              assert adapter.module[-1].bias.sum() == 0
  
          out = adapter(x)
          assert out.sum().abs() <= 1e-8
  
file_path: NeMo/tests/collections/common/mixins/test_adapter_modules.py
imports: import pytest
  import torch
  from nemo.collections.common.parts import adapter_modules
  from nemo.core.classes.mixins import adapter_mixin_strategies
  from nemo.utils import config_utils
label_desc: Use image node_id 4 for calling the TestAdapterModules obj's underlying member method code with example usage: obj.test_linear_adapter_norm_position(norm_position) without return types