Python AttributeError: 模块“tensorflow”没有属性“feature_column”
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AttributeError: module 'tensorflow' has no attribute 'feature_column'
提问by Ank
So I am new to machine learning and was trying out the TensorFlow Linear Model Tutorial given here: https://www.tensorflow.org/tutorials/wide
所以我是机器学习的新手，正在尝试这里给出的 TensorFlow 线性模型教程：https: //www.tensorflow.org/tutorials/wide
I literally just downloaded their tutorial and tried to run it in my computer but I got the error:
我实际上只是下载了他们的教程并尝试在我的计算机上运行它，但出现错误：
AttributeError: module 'tensorflow' has no attribute 'feature_column'
AttributeError: 模块“tensorflow”没有属性“feature_column”
I searched online and got to know that this can happen on older versions of tensorflow, but I am running the latest version: 1.3.0
我在网上搜索并知道这可能发生在旧版本的 tensorflow 上，但我运行的是最新版本：1.3.0
So why am I getting this error and how to fix it?
那么为什么我会收到此错误以及如何修复它？
回答by Max
Tensorflow 1.3 should support feature_column well. You might accidentally used an old version. Try the following code to verify your version:
Tensorflow 1.3 应该很好地支持 feature_column。您可能不小心使用了旧版本。尝试使用以下代码来验证您的版本：
import tensorflow as tf
print(tf.__version__)
print(dir(tf.feature_column))
回答by Wesam
If you're importing Tensorflow in a project that uses Keras, import Keras modules first, then Tensorflow. That solved the problem for me.
如果您在使用 Keras 的项目中导入 Tensorflow，请先导入 Keras 模块，然后再导入 Tensorflow。那为我解决了问题。
Do this: (notice the order)
这样做：（注意顺序）
from keras.backend.tensorflow_backend import set_session
from keras.models import Sequential
from keras import applications
import tensorflow as tf
Do not dothis:
不要这样做：
import tensorflow as tf
from keras.backend.tensorflow_backend import set_session
from keras.models import Sequential
from keras import applications
回答by Shikhar Omar
Upgrading your tensorflow might help.
升级你的 tensorflow 可能会有所帮助。
pip install --upgrade tensorflow
回答by Manas
I faced a similar error while running a session using the Tensorflow 2.0 beta. I used the following form for running a session:
我在使用 Tensorflow 2.0 beta 运行会话时遇到了类似的错误。我使用以下表单来运行会话：
import tensorflow as tf
constant = tf.constant([[1, 2, 3],[4, 5, 6],[7, 8, 9]])
with tf.compat.v1.Session() as sess:
print(sess.run(constant))
instead of:
代替：
import tensorflow as tf
constant = tf.constant([[1, 2, 3],[4, 5, 6],[7, 8, 9]])
with tf.Session() as sess:
print(sess.run(constant))
Also,
还，
tf.compat.v1.Session()
is backward compatible. You might face a similar error when using other functions in Tensorflow 2.0 beta like print, get_variable, etc. Use a similar form as shown above in the example.
向后兼容。在 Tensorflow 2.0 beta 中使用其他函数（如 print、get_variable 等）时，您可能会遇到类似的错误。使用如上例所示的类似形式。
