Should I use tf.add or + to add two tensors in Tensorflow?
In my understanding they are equivalent and just executes the __add__ magic function.
I am using Tensorflow 2.0 for Python 3.
Suppose I have two tensor variables, x and y, and I want to compute their element-wise sum x + y. Should I just write x + y, or tf.add(x, y)? If they are not equivalent, when should I use one or the other?