code: def init_style_transfer_graph(self, net_params):
      _tf = _lazy_import_tensorflow()
  
      self._tf_variables = define_tensorflow_variables(net_params)
  
      # TODO: take care of batch size
      self.tf_input = _tf.placeholder(
          dtype=_tf.float32, shape=[None, None, None, 3]
      )
      self.tf_style = _tf.placeholder(
          dtype=_tf.float32, shape=[None, 256, 256, 3]
      )
      self.tf_index = _tf.placeholder(
          dtype=_tf.int64, shape=[self.batch_size]
      )
  
      self.__define_graph()
  
      init = _tf.global_variables_initializer()
      self.sess.run(init)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  from turicreate.toolkits._tf_model import TensorFlowModel
  import numpy
  import turicreate.toolkits._tf_utils
  from turicreate._deps.minimal_package import _minimal_package_import_check
label_desc: Use image node_id 2 for calling the StyleTransferTensorFlowModel obj's underlying member method code with example usage: obj.init_style_transfer_graph(net_params) without return types