code: def test_rnn_layers_fp16():
      # Dynamic skip condition is best handled this way, rather than with pytest.mark.skipIf
      if default_device().device_type == "cpu":
          pytest.skip("RNN FP16 only implemented for GPU for now")
      run_rnn_layers("float16", "float32")
  
imports: import mxnet
  from mxnet import gluon, np
  import numpy
  import copy
  from functools import partial
  from numpy.testing import assert_allclose
  from mxnet.gluon.utils import split_rnn_params
  import pytest
  from mxnet.test_utils import almost_equal, assert_almost_equal, default_device
  from common import assert_raises_cudnn_not_satisfied, retry
label_desc: Use image node_id 22 for calling a global function with example usage: test_rnn_layers_fp16() without return types