code: def get_dense_layer_generators():
      def sigmoid_dense_layer(units):
          return tf.keras.layers.Dense(units, activation="sigmoid")
  
      return {
          "pure_dense": lambda a, b: tf.keras.layers.Dense(b[0]),
          "sigmoid_dense": lambda a, b: sigmoid_dense_layer(b[0]),
      }
  
file_path: privacy/tensorflow_privacy/privacy/fast_gradient_clipping/registry_functions/dense_test.py
imports: from absl.testing import parameterized
  import tensorflow
  from tensorflow_privacy.privacy.fast_gradient_clipping import common_test_utils
  from tensorflow_privacy.privacy.fast_gradient_clipping import layer_registry
  from tensorflow_privacy.privacy.fast_gradient_clipping.registry_functions import dense
label_desc: Use image node_id 1 for calling a global function with example usage: get_dense_layer_generators() and returns: dict, tf