code: def test_mxnet_wrapper_roundtrip_conversion():
      import mxnet as mx
  
      xp_tensor = numpy.zeros((2, 3), dtype="f")
      mx_tensor = xp2mxnet(xp_tensor)
      assert isinstance(mx_tensor, mx.nd.NDArray)
      new_xp_tensor = mxnet2xp(mx_tensor)
      assert numpy.array_equal(xp_tensor, new_xp_tensor)
  
imports: from typing import cast
  import numpy
  import pytest
  from thinc.api import Adam, ArgsKwargs, Model, MXNetWrapper, Ops, get_current_ops, mxnet2xp, xp2mxnet
  from thinc.compat import has_cupy_gpu, has_mxnet
  from thinc.types import Array1d, Array2d, IntsXd
  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_mxnet_wrapper_roundtrip_conversion() without return types