code: def make_resolve_constant_strided_slice_tests(options):
      """Make a set of tests to show strided_slice yields incorrect results."""
  
      test_parameters = [
          {
              "unused_iteration_counter": [1],
          }
      ]
  
      def build_graph(parameters):
          """Build the strided_slice op testing graph."""
          del parameters
          input_values = tf.compat.v1.placeholder(
              dtype=tf.float32, shape=[4, 2]
          )
          data = tf.constant(
              [
                  [0, 1, 2, 3],
                  [4, 5, 6, 7],
                  [8, 9, 10, 11],
                  [12, 13, 14, 15],
              ],
              tf.float32,
          )
          return [input_values], [input_values + data[:, :2]]
  
      def build_inputs(parameters, sess, inputs, outputs):
          del parameters
          input_values = np.zeros([4, 2], dtype=np.float32)
          return [input_values], sess.run(
              outputs, feed_dict={inputs[0]: 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 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_resolve_constant_strided_slice_tests(options) and returns: list,  list, list,  sess