code: def _make_shape_to_strided_slice_test(
      options, test_parameters, expected_tf_failures=0
  ):
      """Utility function to make shape_to_strided_slice_tests."""
  
      def build_graph(parameters):
          """Build graph for shape_stride_slice test."""
          input_tensor = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name="input",
              shape=parameters["dynamic_input_shape"],
          )
          begin = parameters["begin"]
          end = parameters["end"]
          strides = parameters["strides"]
          tensors = [input_tensor]
          out = tf.strided_slice(
              tf.shape(input=input_tensor),
              begin,
              end,
              strides,
              begin_mask=parameters["begin_mask"],
              end_mask=parameters["end_mask"],
          )
          return tensors, [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          """Build inputs for stride_slice test."""
          input_values = create_tensor_data(
              parameters["dtype"],
              parameters["input_shape"],
              min_value=-1,
              max_value=1,
          )
          values = [input_values]
  
          return values, sess.run(
              outputs, feed_dict=dict(zip(inputs, values))
          )
  
      make_zip_of_tests(
          options,
          test_parameters,
          build_graph,
          build_inputs,
          expected_tf_failures=expected_tf_failures,
      )
  
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_shape_to_strided_slice_test(options, test_parameters, expected_tf_failures) and returns: tensors,  list, values,  sess