code: def test_tensorflow_wrapper_built_model(model, X, Y):
      # built models are validated more and can perform useful operations:
      assert model.predict(X) is not None
      # Can print a keras summary
      assert str(model.shims[0]) != ""
      # They can de/serialized
      assert model.from_bytes(model.to_bytes()) is not None
  
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 11 for calling a global function with example usage: test_tensorflow_wrapper_built_model(model, X, Y) without return types