code: def get_embedding_model_generators():
      return {
          "bow1": common_test_utils.make_bow_model,
          "bow2": common_test_utils.make_dense_bow_model,
          "weighted_bow1": common_test_utils.make_weighted_bow_model,
      }
  
file_path: privacy/tensorflow_privacy/privacy/fast_gradient_clipping/registry_functions/embedding_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
  from tensorflow_privacy.privacy.fast_gradient_clipping.registry_functions import embedding
label_desc: Use image node_id 1 for calling a global function with example usage: get_embedding_model_generators() and returns: dict