import tensorflow as tf
import numpy as np
import tensorflow.contrib.layers as lay

X = tf.constant([[1,2],[3,4]],dtype=tf.float32)
with tf.variable_scope("fc1",reuse=tf.AUTO_REUSE) as scope:
    w = tf.get_variable("weights",initializer=tf.constant([[1,1],[1,1]],dtype=tf.float32))
    fc1 = lay.fully_connected(X,2,scope=scope,biases_initializer=tf.initializers.zeros)

vars = tf.global_variables("fc1")

sess = tf.Session()
sess.run(tf.global_variables_initializer())
print(vars)

res = sess.run(fc1)
print(res)