TensorFlow获取加载模型中的全部张量名称代码

[tensor.name for tensor in tf.get_default_graph().as_graph_def().node]

# -*- coding: utf-8 -*-
 
import tensorflow as tf
import os
 
model_dir = 'C:/Inception_v3'
model_name = 'output_graph.pb'
 
# 读取并创建一个图graph来存放训练好的 Inception_v3模型（函数）
def create_graph():
 with tf.gfile.FastGFile(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,'\n')

mixed_8/tower/conv_1/batchnorm/moving_variance 

mixed_8/tower/conv_1/batchnorm 

r_1/mixed/conv_1/batchnorm 

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mixed_10/tower_1/mixed/conv_1/CheckNumerics 

mixed_10/tower_1/mixed/conv_1/control_dependency 

mixed_10/tower_1/mixed/conv_1 

pool_3 

pool_3/_reshape/shape 

pool_3/_reshape 

input/BottleneckInputPlaceholder 
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final_training_ops/weights/final_weights 

final_training_ops/weights/final_weights/read 

final_training_ops/biases/final_biases 

final_training_ops/biases/final_biases/read 

final_training_ops/Wx_plus_b/MatMul 

final_training_ops/Wx_plus_b/add 

final_result

tensor_name_list = [tensor.name for tensor in tf.get_default_graph().as_graph_def().node]
 
txt_path = './txt/节点名称'
full_path = txt_path+ '.txt'
 
for tensor_name in tensor_name_list:
 name = tensor_name + '\n'
 file = open(full_path,'a+')
file.write(name)
file.close()