在进行机器学习的过程中
1 #!/usr/bin/env python 2 # -*- coding: utf-8 -*- 3 # @File : TensorFlow入门操作.py 4 # @Author: 赵路仓 5 # @Date : 2020/3/26 6 # @Desc : 7 # @Contact : 398333404@qq.com 8 9 import tensorflow as tf 10 import os 11 os.environ["CUDA_VISIBLE_DEVICES"]="0" 12 13 14 hello=tf.constant('Hello,TensorFlow') 15 config=tf.compat.v1.ConfigProto() 16 config.gpu_options.per_process_gpu_memory_fraction = 0.9 17 sess=tf.compat.v1.Session(config=config) 18 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
1 #!/usr/bin/env python 2 # -*- coding: utf-8 -*- 3 # @File : TensorFlow入门操作.py 4 # @Author: 赵路仓 5 # @Date : 2020/3/26 6 # @Desc : 7 # @Contact : 398333404@qq.com 8 9 import tensorflow as tf 10 import os 11 os.environ["CUDA_VISIBLE_DEVICES"]="0" 12 13 tf.compat.v1.disable_eager_execution() 14 hello=tf.constant('Hello,TensorFlow') 15 config=tf.compat.v1.ConfigProto() 16 config.gpu_options.per_process_gpu_memory_fraction = 0.9 17 sess=tf.compat.v1.Session(config=config) 18 print(sess.run(hello))