code: def test_input_rnn(self):
      self.start_tests(name="input-rnn")
  
      states = dict(
          type="float", shape=(2, 3), min_value=1.0, max_value=2.0
      )
      network = [
          dict(
              type="input_rnn",
              cell="gru",
              size=8,
              return_final_state=False,
          ),
          dict(type="input_lstm", size=8),
      ]
      self.unittest(states=states, policy=network)
  
file_path: tensorforce/test/test_layers.py
imports: import unittest
  from test.unittest_base import UnittestBase
label_desc: Use image node_id 6 for calling the TestLayers obj's underlying member method code with example usage: obj.test_input_rnn() without return types