Tensorflow variable scope: reuse if variable exists

Question

I want a piece of code that creates a variable within a scope if it doesn\'t exist, and access the variable if it already exists. I need it to be the same c

Answer 1

New AUTO_REUSE option does the trick.

From the tf.variable_scope API docs: if reuse=tf.AUTO_REUSE, we create variables if they do not exist, and return them otherwise.

Basic example of sharing a variable AUTO_REUSE:

def foo():
  with tf.variable_scope("foo", reuse=tf.AUTO_REUSE):
    v = tf.get_variable("v", [1])
  return v

v1 = foo()  # Creates v.
v2 = foo()  # Gets the same, existing v.
assert v1 == v2