Tensorflow 2 0 - AttributeError module tensorflow has no attribute Session

Question

When I am executing the command sess   tf Session   in Tensorflow 2 0 environment  I am getting an error message as below  Traceback  most recent call last   File  quot  lt stdin gt  quot   line 1  in  lt module gt  AttributeError  module  tensorflow  has no attribute  Session    System Information    OS Platform and Distribution  Windows 10 Python Version  3 7 1 Tensorflow Version  2 0 0-alpha0  installed with pip    Steps to reproduce  Installation    pip install --upgrade pip pip install tensorflow  2 0 0-alpha0 pip install keras pip install numpy  1 16 2   Execution    Execute command  import tensorflow as tf Execute command  sess   tf Session

User · Answer

Same problem occurred for me import tensorflow as tf hello   tf constant  Hello World     sess   tf compat v1 Session         I got the error on this step when I used                                     tf Session    sess run hello   Try replacing it with tf compact v1 Session

User · Answer

For TF2 x  you can do like this  import tensorflow as tf with tf compat v1 Session   as sess      hello   tf constant  hello world       print sess run hello     gt  gt  gt  b hello world

User · Answer

TF v2 0 supports Eager mode vis-a-vis Graph mode of v1 0  Hence  tf session   is not supported on v2 0  Hence  would suggest you to rewrite your code to work in Eager mode

User · Answer

import tensorflow as tf sess   tf Session    this code will show an Attribute error on version 2 x to use version 1 x code in version 2 x try this import tensorflow compat v1 as tf sess   tf Session

User · Answer

According to TF 1 1 Symbols Map  in TF 2 0 you should use tf compat v1 Session   instead of tf Session    https   docs google com spreadsheets d 1FLFJLzg7WNP6JHODX5q8BDgptKafq slHpnHVbJIteQ edit gid 0  To get TF 1 x like behaviour in TF 2 0 one can run   import tensorflow compat v1 as tf tf disable v2 behavior     but then one cannot benefit of many improvements made in TF 2 0  For more details please refer to the migration guide  https   www tensorflow org guide migrate

User · Answer

TF2 runs Eager Execution by default  thus removing the need for Sessions  If you want to run static graphs  the more proper way is to use tf function   in TF2  While Session can still be accessed via tf compat v1 Session   in TF2  I would discourage using it  It may be helpful to demonstrate this difference by comparing the difference in hello worlds   TF1 x hello world   import tensorflow as tf msg   tf constant  Hello  TensorFlow    sess   tf Session   print sess run msg     TF2 x hello world   import tensorflow as tf msg   tf constant  Hello  TensorFlow    tf print msg    For more info  see Effective TensorFlow 2

User · Answer

Using Anaconda   Spyder  Python 3 7    code   import tensorflow as tf valor1   tf constant 2  valor2   tf constant 3  type valor1  print valor1  soma valor1 valor2 type soma  print soma  sess   tf compat v1 Session   with sess      print sess run soma      console   import tensorflow as tf valor1   tf constant 2  valor2   tf constant 3  type valor1  print valor1  soma valor1 valor2 type soma  Tensor  Const 8 0   shape     dtype int32  Out 18   tensorflow python framework ops Tensor  print soma  Tensor  add 4 0   shape     dtype int32   sess   tf compat v1 Session    with sess      print sess run soma   5

User · Answer

If this is your code  the correct solution is to rewrite it to not use Session    since that s no longer necessary in TensorFlow 2  If this is just code you re running  you can downgrade to TensorFlow 1 by running  pip3 install --upgrade --force-reinstall tensorflow-gpu  1 15 0     or whatever the latest version of TensorFlow 1 is

User · Answer

Tensorflow 2 x support s Eager Execution by default hence Session is not supported

User · Answer

try this import tensorflow as tf  tf compat v1 disable eager execution    hello   tf constant  Hello  TensorFlow     sess   tf compat v1 Session    print sess run hello

User · Answer

I faced this problem when I first tried python after installing windows10   python3 7 64bit    anacconda3   jupyter notebook   I solved this problem by refering to  https   vispud blogspot com 2019 05 tensorflow200a0-attributeerror-module html   I agree with     I believe  Session    has been removed with TF 2 0        I inserted two lines  One is tf compat v1 disable eager execution   and the other is sess   tf compat v1 Session    My Hello py is as follows   import tensorflow as tf  tf compat v1 disable eager execution    hello   tf constant  Hello  TensorFlow     sess   tf compat v1 Session    print sess run hello

[python] Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'

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