Tensor.graph is meaningless when eager execution is enabled

Question

a = tf.compat.v1.constant(5.0)
b = tf.compat.v1.constant(6.0)

sum1 = a + b
g = tf.compat.v1.Graph()
with g.as_default():
    # Define operations and tensors in `g`.
    hello = tf.compat.v1.constant('hello')
    assert hello.graph is g

sess = tf.compat.v1.Session(graph=g)

print(sess.run(sum1))

tensorflow-gpu2.0 i don't know why. i am a beginner of tensorflow

Answer 1

After import tensorflow need disable eager execution, like below:

import tensorflow as tf
tf.compat.v1.disable_eager_execution()

It's worked for me.