with tf.name_scope('input'):
  bottleneck_input = tf.placeholder_with_default(
    bottleneck_tensor,
    shape=[batch_size, bottleneck_tensor_size],
    name='Mul')

import tensorflow as tf
import os
 
model_dir = './tmp/'
model_name = 'output_graph.pb'
 
def create_graph():
  with tf.gfile.FastGFile(os.path.join(
      model_dir, model_name), 'rb') as f:
    graph_def = tf.GraphDef()
    graph_def.ParseFromString(f.read())
    tf.import_graph_def(graph_def, name='')
 
create_graph()
tensor_name_list = [tensor.name for tensor in tf.get_default_graph().as_graph_def().node]
for tensor_name in tensor_name_list:
  print(tensor_name,'\n')