code: def __init__(self, training_helper_layer, criterion, val_methods):
      self.training_helper_layer = training_helper_layer
      self.criterion = criterion
      self.val_methods = val_methods
  
imports: import json
  import logging
  import os
  import sys
  import tempfile
  from bigdl.dllib.nn.criterion import Criterion
  from bigdl.dllib.nn.layer import Layer
  from bigdl.dllib.optim.optimizer import MaxEpoch, EveryEpoch
  from bigdl.dllib.utils.common import to_list, JavaValue
  from bigdl.dllib.utils.file_utils import callZooFunc
  from bigdl.dllib.feature.common import FeatureSet
  from bigdl.dllib.keras.engine.topology import to_bigdl_metric, Loss, OptimMethod
  from bigdl.dllib.net.utils import find_placeholders, to_bigdl_optim_method, find_tensors
  from bigdl.dllib.estimator.estimator import Estimator
  from bigdl.dllib.utils import nest
  from bigdl.dllib.utils.triggers import EveryEpoch
  from bigdl.dllib.utils.triggers import ZooTrigger
  from bigdl.orca.tfpark.tf_dataset import TFNdarrayDataset, check_data_compatible
  from bigdl.orca.tfpark.tf_dataset import _standarize_feature_label_dataset
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 1 to create a new TFModel object from inherited base classes: object with example: obj = TFModel(training_helper_layer, criterion, val_methods)