"TypeError: 'Session' Object Is Not Callable" Error Running Sess = Tf.compat.v1.Session()(graph=tf.compat.v1.get_default_graph(), Config=session_conf)

I'm trying to set seeds and configure keras settings to ensure my experiments are reproducible. When I run the following (based on code in an answer to this question): # Import lib

Solution 1:

On the line second to last, you probably want to construct a Session object using the arguments graph and config, not call a Session.

Change this:

sess = tf.compat.v1.Session()(graph=tf.compat.v1.get_default_graph(), config=session_conf)

to this:

sess = tf.compat.v1.Session(graph=tf.compat.v1.get_default_graph(), config=session_conf)

You will also need to change the code in the fourteenth line:

from tensorflow.compat.v1.keras import backend as K

Since Tensorflow 2.0, Keras does not expose sessions in the backend like before. You can get around that by using the compat.v1 API, but this is soon to be deprecated.