tensorflow之打印网络节点（名称）

1 测试代码： 

$ cat export_nodename.py

#!/usr/bin/env python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

#coding:utf-8 
import tensorflow as tf
import os

model_dir = 'work/CNN/CNN2/training'
model_name = 'dnn.pb'

# 读取并创建一个图graph来存放Google训练好的模型（函数）
def create_graph():
    with tf.gfile.GFile(os.path.join(
            model_dir, model_name), 'rb') as f:
        # 使用tf.GraphDef()定义一个空的Graph
        graph_def = tf.GraphDef()
        graph_def.ParseFromString(f.read())
        # Imports the graph from graph_def into the current default Graph.
        tf.import_graph_def(graph_def, name='')

# 创建graph
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)
~                         

2 运行代码查看结果

$ python export_nodename.py 
wav_data
decoded_s