code: def test_identity_node(self):
      class Net(nn.Module):
          def forward(self, x):
              return x
  
      model = Net()
      x = torch.rand((1, 64, 224, 224), dtype=torch.float)
      self.run_test(model, (x,))
  
file_path: nni/test/algo/nas/graph_converter/test_convert_models.py
imports: import unittest
  import torch
  import nni.nas.nn.pytorch.layers
  from .convert_mixin import ConvertMixin, ConvertWithShapeMixin
label_desc: Use image node_id 4 for calling the TestModels obj's underlying member method code with example usage: obj.test_identity_node() and returns: x