code: def make_resize_bilinear_tests(options):
      """Make a set of tests to do resize_bilinear."""
  
      test_parameters = [
          {
              "dtype": [tf.float32, tf.int32],
              "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
              "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
              "align_corners": [True, False],
              "half_pixel_centers": [False],
              "fully_quantize": [False],
          },
          {
              "dtype": [tf.float32],
              "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
              "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
              "align_corners": [True, False],
              "half_pixel_centers": [False],
              "fully_quantize": [True],
          },
          {
              "dtype": [tf.float32],
              "input_shape": [[1, 16, 24, 3], [1, 12, 18, 3]],
              "size": [[8, 12], [12, 18]],
              "align_corners": [True, False],
              "half_pixel_centers": [False],
              "fully_quantize": [True],
          },
          {
              "dtype": [tf.float32],
              "input_shape": [[1, 16, 24, 3], [1, 12, 18, 3]],
              "size": [[8, 12]],
              "align_corners": [False],
              "half_pixel_centers": [True],
              "fully_quantize": [True],
          },
          {
              "dtype": [tf.float32, tf.int32],
              "input_shape": [[1, 3, 4, 3], [1, 10, 2, 1]],
              "size": [[1, 1], [4, 3], [2, 2], [5, 6]],
              "align_corners": [False],
              "half_pixel_centers": [True],
              "fully_quantize": [False],
          },
      ]
  
      def build_graph(parameters):
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          out = tf.compat.v1.image.resize_bilinear(
              input_tensor,
              size=parameters["size"],
              align_corners=parameters["align_corners"],
              half_pixel_centers=parameters["half_pixel_centers"],
          )
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_values = create_tensor_data(
              parameters["dtype"],
              parameters["input_shape"],
              min_value=-1,
              max_value=1,
          )
          return [input_values], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_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_resize_bilinear_tests(options) and returns: list,  list, list,  sess