Why tflearn disables executing eagerly ?

[consultantmuthu]

I have following code,

import tensorflow as tf
print(tf.version )
tf.executing_eagerly()

===> It prints 2.9.2 and True

!pip install tflearn
import tflearn as tfl
print(tf.version )
tf.executing_eagerly()

===> It prints 2.9.2 and False

Why? I was expecting it to be True after importing TFLearn.

[DiwakarBasnet]

TFLearn is built on top of TensorFlow but its behavior may not be the same as TensorFlow itself. By default, TFLearn runs in a static graph mode, not eager execution mode. This is why tf.executing_eagerly() returns False after importing TFLearn.

[consultantmuthu]

Thanks for the response. My learning so far is, going forward from 2.x version - we have both graph mode and eager mode available in TF itself.