code: def make_squeeze_transpose_tests(options):
      """Make a set of tests to do squeeze followed by transpose."""
  
      test_parameters = [
          {
              "dtype": [tf.int32, tf.float32, tf.int64],
              "input_shape": [[1, 4, 10, 1]],
              "axis": [[-1], [3]],
          }
      ]
  
      def build_graph(parameters):
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name="input",
              shape=parameters["input_shape"],
          )
          out = tf.squeeze(input_tensor, axis=parameters["axis"])
          out = tf.transpose(a=out, perm=[1, 2])
          return [input_tensor], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          input_values = create_tensor_data(
              parameters["dtype"], parameters["input_shape"]
          )
          return [input_values], sess.run(
              outputs, feed_dict=dict(zip(inputs, [input_values]))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=0,
      )
  
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_squeeze_transpose_tests(options) and returns: list,  list, list,  sess