code: def make_sigmoid_grad_tests(options):
      """Make a set of tests to examine sigmoid grad op."""
  
      test_parameters = [
          {
              "dtype": [tf.float32],
              "input_shape": [[3, 2, 1], [1, 2, 3, 4]],
              "input_range": [(-32, 32)],
          }
      ]
  
      def build_graph(parameters):
          y = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name="y",
              shape=parameters["input_shape"],
          )
          dy = tf.compat.v1.placeholder(
              dtype=parameters["dtype"],
              name="dy",
              shape=parameters["input_shape"],
          )
          out = tf.raw_ops.SigmoidGrad(y=y, dy=dy)
          return [y, dy], [out]
  
      def build_inputs(parameters, sess, inputs, outputs):
          # input is y which is sigmoid(x), hence it's range is between 0 to 1
          y = create_tensor_data(
              parameters["dtype"],
              parameters["input_shape"],
              min_value=0,
              max_value=1,
          )
          min_value, max_value = parameters["input_range"]
          dy = create_tensor_data(
              parameters["dtype"],
              parameters["input_shape"],
              min_value,
              max_value,
          )
          values = [y, dy]
          return values, sess.run(
              outputs, feed_dict=dict(zip(inputs, 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_sigmoid_grad_tests(options) and returns: list,  list, values,  sess