Why is the value of a `tf.constant()` stored multiple times in memory in TensorFlow?

Question

I read that (in TensorFlow):

the value of a tf.constant() is stored multiple times in memory.

Why is the value of a tf.con

Answer 1

They are referring to the fact that when initializing the constant one copy of the constant is stored as a numpy array and another copy is stored in tensorflow. The two copies exist while it is initializing the constant.