[機器學習]RuntimeError: The Session graph is empty. Add operations to the graph before calling run(). 報錯解決方法

在進行機器學習的過程中

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File  : TensorFlow入門操作.py
# @Author: 趙路倉
# @Date  : 2020/3/26
# @Desc  :
# @Contact : [e-mail] 

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))

會報如下錯誤

　　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().

• 問題產生的原因：無法執行sess.run()的原因是tensorflow版本不同導致的，tensorflow版本2.0無法兼容版本1.0.
• 解決辦法：
•  tf.compat.v1.disable_eager_execution() 
  

修改后的代碼

#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @File  : TensorFlow入門操作.py
# @Author: 趙路倉
# @Date  : 2020/3/26
# @Desc  :
# @Contact : [e-mail] 

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))