code: def test_rnn_layer_begin_state_type():
      fake_data = mx.np.random.uniform(size=(3, 5, 7), dtype="float16")
      modeling_layer = gluon.rnn.LSTM(
          hidden_size=11, num_layers=2, dropout=0.2, bidirectional=True
      )
      modeling_layer.cast("float16")
      modeling_layer.initialize()
      modeling_layer(fake_data)
  
imports: import sys
  import os
  import time
  import random
  import mxnet
  import multiprocessing
  from mxnet.test_utils import check_consistency, set_default_device, assert_almost_equal, rand_ndarray, environment
  import numpy
  import math
  from mxnet import autograd
  import pytest
  from common import assert_raises_cudnn_not_satisfied, run_in_spawned_process, random_seed
  from test_gluon import *
  from test_loss import *
  from test_numpy_loss import *
  from test_gluon_rnn import *
label_desc: Use image node_id 11 for calling a global function with example usage: test_rnn_layer_begin_state_type() without return types