code: def set_signature_defs(tflite_model, signature_def_map):
      """Sets SignatureDefs to the Metadata of a TfLite flatbuffer buffer.
  
      Args:
        tflite_model: Binary TFLite model (bytes or bytes-like object) to which to
          add signature_def.
        signature_def_map: dict containing SignatureDefs to store in metadata.
      Returns:
        buffer: A TFLite model binary identical to model buffer with
          metadata field containing SignatureDef.
  
      Raises:
        ValueError:
          tflite_model buffer does not contain a valid TFLite model.
          signature_def_map is empty or does not contain a SignatureDef.
      """
      model = tflite_model
      if not isinstance(tflite_model, bytearray):
          model = bytearray(tflite_model)
      serialized_signature_def_map = {
          k: v.SerializeToString() for k, v in signature_def_map.items()
      }
      model_buffer = signature_def_util.SetSignatureDefMap(
          model, serialized_signature_def_map
      )
      return model_buffer
  
imports: from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.lite.tools.signature import _pywrap_signature_def_util_wrapper
label_desc: Use image node_id 1 for calling a global function with example usage: set_signature_defs(tflite_model, signature_def_map) and returns: model_buffer