code: def make_embedding_lookup_tests(options):
      """Make a set of tests to do gather."""
  
      test_parameters = [
          {
              "params_dtype": [tf.float32],
              "params_shape": [[10], [10, 10]],
              "ids_dtype": [tf.int32],
              "ids_shape": [[3], [5]],
          },
      ]
  
      def build_graph(parameters):
          """Build the gather op testing graph."""
          params = tf.compat.v1.placeholder(
              dtype=parameters["params_dtype"],
              name="params",
              shape=parameters["params_shape"],
          )
          ids = tf.compat.v1.placeholder(
              dtype=parameters["ids_dtype"],
              name="ids",
              shape=parameters["ids_shape"],
          )
          out = tf.nn.embedding_lookup(params=params, ids=ids)
          return [params, ids], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          params = create_tensor_data(
              parameters["params_dtype"], parameters["params_shape"]
          )
          ids = create_tensor_data(
              parameters["ids_dtype"],
              parameters["ids_shape"],
              0,
              parameters["params_shape"][0] - 1,
          )
          return [params, ids], sess.run(
              outputs, feed_dict=dict(zip(inputs, [params, ids]))
          )
  
      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_embedding_lookup_tests(options) and returns: list,  list, list,  sess