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AttributeError: module 'tensorflow' has no attribute 'ConfigProto'


AttributeError: module 'tensorflow' has no attribute 'ConfigProto'

By : madhavi1212
Date : October 16 2020, 06:10 PM
like below fixes the issue I'm working in Pytorch. I can import tensorflow (version 1.13.1) and need ConfigProto: , ConfigProto disappeared in tf 2.0, so an elegant solution is:
code :
import tensorflow as tf


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Tensorflow Module Import error: AttributeError: module 'tensorflow.python.ops.nn' has no attribute 'rnn_cell'

Tensorflow Module Import error: AttributeError: module 'tensorflow.python.ops.nn' has no attribute 'rnn_cell'


By : Prakash Gupta
Date : March 29 2020, 07:55 AM
Any of those help Replace tf.nn.rnn_cell with tf.contrib.rnn
Since version 1.0, rnn implemented as part of the contrib module.
Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session'

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


By : user2527432
Date : March 29 2020, 07:55 AM
wish of those help 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
code :
import tensorflow.compat.v1 as tf
tf.disable_v2_behavior()
How can I fix AttributeError: module 'tensorflow' has no attribute 'ConfigProto'

How can I fix AttributeError: module 'tensorflow' has no attribute 'ConfigProto'


By : Sapphire
Date : March 29 2020, 07:55 AM
like below fixes the issue This could be because you are using tensorflow 2.0 (when installing tensorflow by default it installs 2.0 now). Seems like your evaluvate.py file is suited to execute with tensorflow 1.* as it searches for configproto that is absent in 2.0 So downgrade tensorflow by
code :
pip install tensorflow==1.14
AttributeError: module 'tensorflow' has no attribute 'placeholder' with keras 2.2.4 tensorflow 1.14

AttributeError: module 'tensorflow' has no attribute 'placeholder' with keras 2.2.4 tensorflow 1.14


By : user3383257
Date : March 29 2020, 07:55 AM
may help you . A placeholder is the initial tensor-like object you use to create a symbolic graph model. (Which is the standard Keras model and old Tensorflow model).
If it can't be found, either your installation is bad or your tensorflow version is 2.0.0 (and thus uses eager mode by default - eager mode doesn't support placeholders).
tensorflow backend error. AttributeError: module 'tensorflow' has no attribute 'name_scope'

tensorflow backend error. AttributeError: module 'tensorflow' has no attribute 'name_scope'


By : user3579655
Date : March 29 2020, 07:55 AM
wish help you to fix your issue I recommend that you switch to using the keras module inside TensorFlow.
It is better maintained and you will not have incompatibility issues.
code :
from keras.models import Sequential 
from keras.layers import Dense 
from tensorflow.keras.models import Sequential 
from tensorflow.keras.layers import Dense 
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