code: def make_gather_with_constant_tests(options):
      """Make a set of test which feed a constant to gather."""
  
      test_parameters = [
          {
              "input_shape": [[3]],
              "reference_shape": [[2]],
          },
          {
              "input_shape": [[2, 3]],
              "reference_shape": [[2, 3]],
          },
      ]
  
      def build_graph(parameters):
          """Build a graph where the inputs to Gather are constants."""
          reference = tf.compat.v1.placeholder(
              dtype=tf.int32, shape=parameters["reference_shape"]
          )
          gather_input = tf.constant(
              create_tensor_data(tf.int32, parameters["input_shape"])
          )
          gather_indices = tf.constant([0, 1], tf.int32)
          out = tf.equal(
              reference, tf.gather(gather_input, gather_indices)
          )
          return [reference], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          reference_values = np.zeros(
              parameters["reference_shape"], dtype=np.int32
          )
          return [reference_values], sess.run(
              outputs, feed_dict={inputs[0]: reference_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_gather_with_constant_tests(options) and returns: list,  list, list,  sess