code: def test_mxnet_wrapper_to_cpu(mx_model, X: Array2d):
      model = MXNetWrapper(mx_model)
      model.predict(X)
      model.to_cpu()
  
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 18 for calling a global function with example usage: test_mxnet_wrapper_to_cpu(mx_model, X) without return types