code: def test_mxnet_wrapper_gluon_sequential():
      import mxnet as mx
  
      mx_model = mx.gluon.nn.Sequential()
      mx_model.add(mx.gluon.nn.Dense(12))
      wrapped = MXNetWrapper(mx_model)
      assert isinstance(wrapped, Model)
  
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 10 for calling a global function with example usage: test_mxnet_wrapper_gluon_sequential() without return types