code: def supervised_train_signature_def(
      inputs, loss, predictions=None, metrics=None
  ):
      return _supervised_signature_def(
          unexported_constants.SUPERVISED_TRAIN_METHOD_NAME,
          inputs,
          loss=loss,
          predictions=predictions,
          metrics=metrics,
      )
  
imports: from tensorflow.python.keras.saving.utils_v1 import unexported_constants
  from tensorflow.python.saved_model import signature_def_utils
  from tensorflow.python.saved_model import utils_impl
label_desc: Use image node_id 1 for calling a global function with example usage: supervised_train_signature_def(inputs, loss, predictions, metrics) and returns: _supervised_signature_def