graph_with_variable.py

import tensorflow as tf

g1 = tf.Graph()
with g1.as_default():
    # Add a single variable to our graph
    v = tf.get_variable(name="v", shape=(), initializer=tf.glorot_uniform_initializer())

sess = tf.Session(graph=g1)
sess.run(v.initializer) # Run just the initializer on our variable

# sess.run(tf.global_variables_initializer()) # This will initialize all variables
print(sess.run(v))