code: def test_tensorflow_wrapper_to_from_disk(model, X, Y, answer):
      with make_tempdir() as tmp_path:
          model_file = tmp_path / "model.h5"
          model.to_disk(model_file)
          another_model = model.from_disk(model_file)
          assert another_model 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 22 for calling a global function with example usage: test_tensorflow_wrapper_to_from_disk(model, X, Y, answer) without return types