Tensorflow sessions - scope of a session context?

Question

import tensorflow as tf

...

with tf.Session() as sess:
    output = sess.run(result)
    print(output)

print(output)

Why does the last line work? Isn't output out of scope since it was declared inside the generator?

Answer 1

In python with does not have scoping like methods, this post explains it more clearly Variable defined with with-statement available outside of with-block?

To save you some time

the context manager will be available outside the with statement and that is not implementation or version dependent. with statements do not create a new execution scope.