code: def make_control_dep_tests(options):
      """Make a set of tests that use control dependencies."""
  
      test_parameters = [
          {
              "input_shape": [
                  [],
                  [1, 1, 1, 1],
                  [1, 15, 14, 1],
                  [3, 15, 14, 3],
              ],
          }
      ]
  
      def build_graph(parameters):
          input_tensor = tf.compat.v1.placeholder(
              dtype=tf.float32,
              name="input",
              shape=parameters["input_shape"],
          )
          filter_value = tf.zeros(
              (3, 3, TEST_INPUT_DEPTH, 8), tf.float32
          )
          assert_op = tf.compat.v1.assert_greater_equal(
              input_tensor, input_tensor - 1
          )
          with tf.control_dependencies([assert_op]):
              out = tf.nn.conv2d(
                  input=input_tensor,
                  filters=filter_value,
                  strides=(1, 1, 1, 1),
                  padding="SAME",
              )
              return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_values = create_tensor_data(
              tf.float32, parameters["input_shape"]
          )
          return [input_values], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_values]))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=3,
      )
  
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_control_dep_tests(options) and returns: list,  sess, list,  list