How to fix "AttributeError: module 'tensorflow' has no attribute 'get_default_graph'"?

Question

I am trying to run some code to create an LSTM model but i get an error:

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

My code is as follows:

from keras.models import Sequential  model = Sequential() model.add(Dense(32, input_dim=784)) model.add(Activation('relu')) model.add(LSTM(17)) model.add(Dense(1, activation='sigmoid')) model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy']) 

I have found someone else with a similar problem and they updated tensorflow and it works; but mine is up to date and still does not work. I am new to using keras and machine learning so I apologise if this is something silly!

Answer 1

Please try:

from tensorflow.keras.models import Sequential

instead of

from keras.models import Sequential

Answer 2

For tf 2.1.0 I used tf.compat.v1.get_default_graph() - e.g:

import tensorflow as tf sess = tf.compat.v1.Session(graph=tf.compat.v1.get_default_graph(), config=session_conf) tf.compat.v1.keras.backend.set_session(sess)