code: def make_unfused_gru_tests(options):
      """Make a set of tests for unfused gru op."""
  
      test_parameters = [
          {
              "units": [2, 5],
              "batch_size": [1, 2],
              "time": [3],
          }
      ]
  
      def build_graph(parameters):
          """Build the graph for unfused_gru."""
          inputs = [
              tf.compat.v1.placeholder(
                  tf.float32,
                  [parameters["batch_size"], parameters["units"]],
              )
              for _ in range(parameters["time"])
          ]
          cell_fw = tf.compat.v1.nn.rnn_cell.GRUCell(
              parameters["units"]
          )
          cell_bw = tf.compat.v1.nn.rnn_cell.GRUCell(
              parameters["units"]
          )
          outputs, _, _ = tf.compat.v1.nn.static_bidirectional_rnn(
              cell_fw, cell_bw, inputs, dtype=tf.float32
          )
  
          return inputs, outputs
  
      def build_inputs(parameters, sess, inputs, outputs):
          """Build the inputs for unfused_gru."""
          input_values = [
              create_tensor_data(
                  tf.float32,
                  [parameters["batch_size"], parameters["units"]],
              )
              for _ in range(parameters["time"])
          ]
          init = tf.compat.v1.global_variables_initializer()
          sess.run(init)
          return input_values, sess.run(
              outputs, feed_dict=dict(zip(inputs, input_values))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          use_frozen_graph=True,
      )
  
imports: import tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import make_zip_of_tests
  from tensorflow.lite.testing.zip_test_utils import register_make_test_function
label_desc: Use image node_id 1 for calling a global function with example usage: make_unfused_gru_tests(options) and returns: inputs,  outputs, input_values,  sess