Apr 03, 2019 · 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
Jun 28, 2020 · I can see that this question has been asked before here tensorflow-has-no-attribute-compat but the answer given was to Microsoft Visual C++ 2015-2019 Redistributable (x64) It did not work for the
For TF 1:1 Symbols Map, in TF 2.0 you have to use: tf.compat.v1.Session() instead of tf.Session(). But one cannot benefit many improvements made from TF 2.0 ...
Dec 18, 2020 · Show activity on this post. string_join seems to be from Tensorflow 1. Notice the alias of string_join for tf.strings.join. However in Tensorflow 2 they no longer have that alias. They do have an alias for tf.compat.v1.string_join. But it looks like you can probably just tf.strings.join. Example code from those docs.
Tensorflow 2.0 - AttributeError: module 'tensorflow' has no attribute 'Session' 141 TensorFlow 2.0 dataset.__iter__() is only supported when eager execution is enabled
Nov 27, 2019 · tf.Session()was deprecated in TensorFlow 2.0.0 Please go through the latest documentation on https://www.tensorflow.org to know more. If you still want to use tf.Session() , use the syntax tf.compat.v1.Session() instead.