code: def __init__(
      self,
      path,
      input_names=None,
      output_names=None,
      tf_session_config=None,
      jvalue=None,
      bigdl_type="float",
  ):
      if jvalue is not None:
          super(TFNet, self).__init__(jvalue, bigdl_type)
          return
  
      config_bytes = None
      if tf_session_config is not None:
          import tensorflow as tf
  
          invalidInputError(
              isinstance(tf_session_config, tf.ConfigProto),
              "expect tf_session_config is tf.ConfigProto type",
          )
          tf_session_config.use_per_session_threads = True
          config_bytes = bytearray(
              tf_session_config.SerializeToString()
          )
      if input_names is None and output_names is None:
          if tf_session_config is None:
              super(TFNet, self).__init__(None, bigdl_type, path)
          else:
              super(TFNet, self).__init__(
                  None, bigdl_type, path, config_bytes
              )
  
      else:
          if isinstance(input_names, six.string_types):
              input_names = [input_names]
          if isinstance(output_names, six.string_types):
              output_names = [output_names]
          if tf_session_config is None:
              super(TFNet, self).__init__(
                  None, bigdl_type, path, input_names, output_names
              )
          else:
              super(TFNet, self).__init__(
                  None,
                  bigdl_type,
                  path,
                  input_names,
                  output_names,
                  config_bytes,
              )
  
imports: import os
  import sys
  import tempfile
  import numpy
  import six
  from pyspark import RDD
  from bigdl.dllib.nn.layer import Layer
  from bigdl.dllib.utils.file_utils import JTensor
  from bigdl.dllib.nncontext import getOrCreateSparkContext
  from bigdl.dllib.utils.file_utils import callZooFunc
  from bigdl.dllib.feature.image import ImageSet
  from bigdl.orca.tfpark.tf_dataset import TFImageDataset, TFDataset
  import logging
  from bigdl.dllib.utils.utils import to_sample_rdd
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 1 to create a new TFNet object from inherited base classes: Layer with example: obj = TFNet(path, input_names, output_names, tf_session_config, jvalue, bigdl_type)