code: def make_l2norm_shared_epsilon_tests(options):
      """Regression test for a bug (b/122651451)."""
  
      # Chose a set of parameters
      test_parameters = [
          {
              "input_shape": [[5, 7]],
              "dim": [1],
              "epsilon": [1e-8],
          }
      ]
  
      def build_graph(parameters):
          input_tensor = tf.compat.v1.placeholder(
              dtype=tf.float32,
              name="input",
              shape=parameters["input_shape"],
          )
          epsilon = tf.constant(parameters["epsilon"])
          out1 = tf.nn.l2_normalize(
              input_tensor, parameters["dim"], epsilon=epsilon
          )
          out2 = tf.nn.l2_normalize(
              input_tensor, parameters["dim"], epsilon=epsilon
          )
          out = out1 + out2
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_values = create_tensor_data(
              np.float32,
              parameters["input_shape"],
              min_value=-4,
              max_value=10,
          )
          return [input_values], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_values]))
          )
  
      make_zip_of_tests(
          options, test_parameters, build_graph, build_inputs
      )
  
imports: import numpy
  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_l2norm_shared_epsilon_tests(options) and returns: list,  list, list,  sess