[机器学习]RuntimeError: The Session graph is empty. Add operations to the graph before calling run(). 报错解决方法

在进行机器学习的过程中

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File  : TensorFlow入门操作.py
# @Author: 赵路仓
# @Date  : 2020/3/26
# @Desc  :
# @Contact : 398333404@qq.com 

import tensorflow as tf
import os
os.environ["CUDA_VISIBLE_DEVICES"]="0"


hello=tf.constant('Hello,TensorFlow')
config=tf.compat.v1.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.9
sess=tf.compat.v1.Session(config=config)
print(sess.run(hello))

会报如下错误

　　raise RuntimeError('The Session graph is empty. Add operations to the '
RuntimeError: The Session graph is empty. Add operations to the graph before calling run().

• 问题产生的原因：无法执行sess.run()的原因是tensorflow版本不同导致的，tensorflow版本2.0无法兼容版本1.0.
• 解决办法：
•  tf.compat.v1.disable_eager_execution() 
  

修改后的代码

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File  : TensorFlow入门操作.py
# @Author: 赵路仓
# @Date  : 2020/3/26
# @Desc  :
# @Contact : 398333404@qq.com 

import tensorflow as tf
import os
os.environ["CUDA_VISIBLE_DEVICES"]="0"

tf.compat.v1.disable_eager_execution()
hello=tf.constant('Hello,TensorFlow')
config=tf.compat.v1.ConfigProto()
config.gpu_options.per_process_gpu_memory_fraction = 0.9
sess=tf.compat.v1.Session(config=config)
print(sess.run(hello))