code: def make_softplus_tests(options):
      """Make a set of tests to do softplus."""
  
      test_parameters = [
          {
              "input_dtype": [tf.float32],
              "input_shape": [
                  [],
                  [3],
                  [1, 100],
                  [4, 2, 3],
                  [5, 224, 224, 3],
              ],
          }
      ]
  
      def build_graph(parameters):
          """Build the exp op testing graph."""
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
  
          out = tf.math.softplus(input_tensor)
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          values = [
              create_tensor_data(
                  parameters["input_dtype"],
                  parameters["input_shape"],
                  min_value=-100,
                  max_value=9,
              )
          ]
          return values, sess.run(
              outputs, feed_dict=dict(zip(inputs, values))
          )
  
      make_zip_of_tests(
          options, test_parameters, build_graph, build_inputs
      )
  
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_softplus_tests(options) and returns: list,  list, values,  sess