Python TensorFlow 'module' 对象没有属性 'global_variables_initializer'
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TensorFlow 'module' object has no attribute 'global_variables_initializer'
提问by Le D. Thang
I'm new to Tensorflow I'm running a Deep learning Assignment from Udacity on iPython notebook. link
我是 Tensorflow 的新手，我正在 iPython notebook 上运行 Udacity 的深度学习作业。 关联
And it has an error.
它有一个错误。
AttributeError Traceback (most recent call last)
`<ipython-input-18-3446420b5935>` in `<module>`()
2
3 with tf.Session(graph=graph) as session:
----> 4 tf.global_variables_initializer().run()
AttributeError: 'module' object has no attribute 'global_variables_initializer'
Please help! How can I fix this? Thank you.
请帮忙！我怎样才能解决这个问题？谢谢你。
回答by drpng
In older versions, it was called tf.initialize_all_variables.
在旧版本中，它被称为tf.initialize_all_variables.
回答by kmario23
Seems like you're using tensorflow 0.11or older versions. If you see this git-commit, they replaced initialize_all_variableswith global_variables_initializer.
似乎您正在使用tensorflow 0.11或更旧的版本。如果你看到这个git-commit，他们会initialize_all_variables用global_variables_initializer.
So, either you can use initialize_all_variablesor update to a newer version i.e. (0.12) or later.
因此，您可以使用initialize_all_variables或更新到较新的版本，即 (0.12) 或更高版本。
回答by ashwinjoseph
In Tensorflow 2.0 , it does away from session and switches to eager execution. You can still run your code using session if you refer to tf.compat library and disable eager execution. This command should do the work:
在 Tensorflow 2.0 中，它不再使用会话并切换到急切执行。如果您参考 tf.compat 库并禁用 Eager Execution，您仍然可以使用 session 运行您的代码。这个命令应该做的工作：
tf.compat.v1.global_variables_initializer()
回答by Maoz Tamir
In Tensorflow 1.11 You can use both initialize_all_variables().run() or tf.global_variables_initializer()
在 Tensorflow 1.11 中，您可以同时使用 initialize_all_variables().run() 或 tf.global_variables_initializer()
#tf.global_variables_initializer().run()
tf.initialize_all_variables().run()
both of then works fine on
然后两者都可以正常工作
