code: def export(
      model_dir,
      loss_tensor,
      sess,
      inputs,
      labels,
      predictions,
      grads,
      variables,
      graph,
      tensors_with_value,
      metrics,
      updates,
      train_op=None,
  ):
      import tensorflow as tf
  
      with graph.as_default():
          batch_size_tensor = tf.to_float(tf.shape(inputs[0])[0])
      (
          inputs,
          additional_inputs,
          additional_values,
      ) = TFModel._expand_inputs(
          inputs, tensors_with_value, loss_tensor
      )
      metric_tensors, val_methods = TFModel._process_metrics(
          graph, metrics, batch_size_tensor
      )
      grads = TFModel._process_grads(graph, grads)
  
      (
          trainable_variables,
          trainable_variable_placeholders,
          trainable_assign,
          extra_variables,
          extra_variable_assign_placeholders,
          extra_variable_assign,
          update_op,
      ) = TFModel._process_variables(graph, variables, updates)
  
      meta, saver = TFModel._save_to_dir(
          model_dir,
          sess,
          graph,
          metric_tensors,
          batch_size_tensor,
          loss_tensor,
          inputs,
          labels,
          predictions,
          trainable_variables,
          trainable_variable_placeholders,
          trainable_assign,
          extra_variables,
          extra_variable_assign_placeholders,
          extra_variable_assign,
          grads,
          update_op,
          train_op,
          additional_inputs,
          additional_values,
      )
      return meta, saver, val_methods
  
imports: import json
  import logging
  import os
  import sys
  import tempfile
  from bigdl.nn.criterion import Criterion
  from bigdl.nn.layer import Layer
  from bigdl.optim.optimizer import MaxEpoch, EveryEpoch
  from bigdl.util.common import to_list, JavaValue
  from zoo.common.utils import callZooFunc
  from zoo.feature.common import FeatureSet
  from zoo.pipeline.api.keras.engine.topology import to_bigdl_metric, Loss, OptimMethod
  from zoo.pipeline.api.net.utils import find_placeholders, to_bigdl_optim_method, find_tensors
  from zoo.pipeline.estimator import Estimator
  from zoo.util import nest
  from zoo.util.triggers import EveryEpoch
  from zoo.util.triggers import ZooTrigger
  from zoo.tfpark.tf_dataset import TFNdarrayDataset, check_data_compatible
  from zoo.tfpark.tf_dataset import _standarize_feature_label_dataset
label_desc: Use image node_id 8 for calling the TFModel obj's underlying member method code with example usage: obj.export(model_dir, loss_tensor, sess, inputs, labels, predictions, grads, variables, graph, tensors_with_value, metrics, updates, train_op) and returns: meta,  saver,  val_methods