code: def make_zeros_like_tests(options):
      """Make a set of tests to do zeros_like."""
  
      test_parameters = [
          {
              "input_dtype": [tf.float32, tf.int32, tf.int64],
              "input_shape": [
                  [],
                  [1],
                  [1, 2],
                  [5, 6, 7, 8],
                  [3, 4, 5, 6],
              ],
          }
      ]
  
      def build_graph(parameters):
          """Build the zeros_like op testing graph."""
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          zeros = tf.zeros_like(input_tensor)
          # This maximum node is so that converter can perform the
          # constants-propagation through the above zeros_like, which it can't do if
          # the output of the zeros_like as an output of the whole graphs (graph
          # outputs can't be constants). If converter does not perform such
          # constants-propagation then the resulting tflite graph retains the
          # zeros_like as a Fill op, which is unsupported by TFLite, even as a custom
          # op.
          out = tf.maximum(zeros, input_tensor)
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          values = create_tensor_data(
              parameters["input_dtype"], parameters["input_shape"]
          )
          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_zeros_like_tests(options) and returns: list,  list, list,  sess