输出TensorFlow 模型的变量名和对应值

import tensorflow as tf

# checkpoint为模型保存地址
checkpoint_path = './model'
with tf.Session() as sess:
    # 得到checkpoint文件中所有的参数（名字，形状）元组
    for var_name, _ in tf.contrib.framework.list_variables(checkpoint_path): 
        # 得到上述参数的值
        var = tf.contrib.framework.load_variable(checkpoint_path, var_name) 
        # var_name为变量的name scope
        # var 是该name scope对应的值
        print(var_name,var)