TensorFlow 'module' object has no attribute 'global_variables_initializer'
Question:
I’m new to Tensorflow
I’m running a Deep learning Assignment from Udacity on iPython notebook.
link
And it has an error.
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.
Answers:
In older versions, it was called tf.initialize_all_variables
.
Seems like you’re using tensorflow 0.11
or older versions. If you see this git-commit, they replaced initialize_all_variables
with global_variables_initializer
.
So, either you can use initialize_all_variables
or update to a newer version i.e. (0.12) or later.
In Tensorflow 1.11 You can use both initialize_all_variables().run() or tf.global_variables_initializer()
#tf.global_variables_initializer().run()
tf.initialize_all_variables().run()
both of then works fine on
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:
tf.compat.v1.global_variables_initializer()
I’m new to Tensorflow
I’m running a Deep learning Assignment from Udacity on iPython notebook.
link
And it has an error.
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.
In older versions, it was called tf.initialize_all_variables
.
Seems like you’re using tensorflow 0.11
or older versions. If you see this git-commit, they replaced initialize_all_variables
with global_variables_initializer
.
So, either you can use initialize_all_variables
or update to a newer version i.e. (0.12) or later.
In Tensorflow 1.11 You can use both initialize_all_variables().run() or tf.global_variables_initializer()
#tf.global_variables_initializer().run()
tf.initialize_all_variables().run()
both of then works fine on
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:
tf.compat.v1.global_variables_initializer()