code: def make_roll_with_constant_tests(options):
      """Make a set of tests to do roll with constant shift and axis."""
  
      def build_graph(parameters):
          input_value = tf.compat.v1.placeholder(
              dtype=parameters["input_dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          outs = tf.roll(
              input_value,
              shift=parameters["shift"],
              axis=parameters["axis"],
          )
          return [input_value], [outs]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_value = create_tensor_data(
              parameters["input_dtype"], parameters["input_shape"]
          )
          return [input_value], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_value]))
          )
  
      make_zip_of_tests(
          options, test_parameters, build_graph, build_inputs
      )
  
file_path: tensorflow-upstream/tensorflow/lite/testing/op_tests/roll.py
imports: import numpy
  import tensorflow
  from tensorflow.lite.testing.zip_test_utils import create_tensor_data
  from tensorflow.lite.testing.zip_test_utils import ExtraConvertOptions
  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_roll_with_constant_tests(options) and returns: list,  list, list,  sess