code: def test_tensorflow_wrapper_roundtrip_conversion():
      import tensorflow as tf
  
      ops = get_current_ops()
      xp_tensor = ops.alloc2f(2, 3, zeros=True)
      tf_tensor = xp2tensorflow(xp_tensor)
      assert isinstance(tf_tensor, tf.Tensor)
      new_xp_tensor = tensorflow2xp(tf_tensor, ops=ops)
      assert ops.xp.array_equal(xp_tensor, new_xp_tensor)
  
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 9 for calling a global function with example usage: test_tensorflow_wrapper_roundtrip_conversion() without return types