code: def metrics(self):
      metrics = [self._loss_tracker] if self.compiled else []
      metrics.extend(self._metrics[:])
      if self.compiled and self._compile_metrics is not None:
          metrics += [self._compile_metrics]
      return metrics
  
imports: import platform
  import warnings
  import tree
  from keras import backend
  from keras import metrics
  from keras import ops
  from keras import optimizers
  from keras.optimizers.loss_scale_optimizer import LossScaleOptimizer
  from keras.saving import serialization_lib
  from keras.trainers.compile_utils import CompileLoss
  from keras.trainers.compile_utils import CompileMetrics
  from keras.trainers.data_adapters import data_adapter_utils
  from keras.utils import traceback_utils
  from keras.utils import tracking
label_desc: Use image node_id 8 for calling the Trainer obj's underlying member method code with example usage: obj.metrics() and returns: metrics