code: def test_tensorflow_wrapper_print_summary(model, X):
      summary = str(model.shims[0])
      # Summary includes the layers of our model
      assert "layer_normalization" in summary
      assert "dense" in summary
      # And counts of params
      assert "Total params" in summary
      assert "Trainable params" in summary
      assert "Non-trainable params" in summary
  
imports: import numpy
  import pytest
  from thinc.api import Adam, ArgsKwargs, Linear, Model, TensorFlowWrapper, get_current_ops, keras_subclass, tensorflow2xp, xp2tensorflow
  from thinc.compat import has_cupy_gpu, has_tensorflow
  from thinc.util import to_categorical
  from ..util import check_input_converters, make_tempdir
label_desc: Use image node_id 20 for calling a global function with example usage: test_tensorflow_wrapper_print_summary(model, X) without return types