code: def __init__(self):
      self._lock = False
      self._run_eagerly = False
      self._jit_compile = None
      self.compiled = False
      self.loss = None
      self.steps_per_execution = 1
  
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 1 to create a new Trainer object  with example: obj = Trainer()