code: def try_build_compiled_arguments(model):
      try:
          if not model.compiled_loss.built:
              model.compiled_loss.build(model.outputs)
          if not model.compiled_metrics.built:
              model.compiled_metrics.build(model.outputs, model.outputs)
      except:
          logging.warning(
              "Compiled the loaded model, but the compiled metrics have "
              "yet to be built. `model.compile_metrics` will be empty "
              "until you train or evaluate the model."
          )
  
imports: import json
  import threading
  import tree
  from absl import logging
  from keras import backend
  from keras import layers
  from keras import losses
  from keras import metrics
  from keras import models
  from keras import optimizers
  from keras.legacy.saving import serialization
  from keras.saving import object_registration
label_desc: Use image node_id 9 for calling a global function with example usage: try_build_compiled_arguments(model) without return types