code: def test_import_nas_nn_as_nn():
      import torch
      import nni.nas.nn.pytorch.layers as nn
  
      dummy = torch.zeros(1, 16, 32, 24)
      nn.init.uniform_(dummy)
  
      nn.Conv2d(1, 3, 1)
      nn.Parameter(torch.zeros(1, 3, 24, 24))
  
      import nni.nas.nn.pytorch as nn2
  
      nn2.MutableConv2d(1, 3, 1)
      with pytest.raises(AttributeError):
          nn2.Conv2d(1, 3, 1)
  
imports: import copy
  import pytest
  import torch
  import nni
  from torch import nn
  from nni.common.serializer import is_traceable
  from nni.mutable import Categorical, ExpressionConstraint, ensure_frozen, frozen_context, label_scope, auto_label, SampleMissingError
  from nni.mutable.mutable import _mutable_equal
  from nni.nas.nn.pytorch import ModelSpace, MutableModule, ParametrizedModule
  from nni.nas.space import model_context
label_desc: Use image node_id 15 for calling a global function with example usage: test_import_nas_nn_as_nn() without return types