xixixixi.py

import tensorflow as tf
import numpy as np


vocabulary_size = 10
embeddings = tf.placeholder(tf.float32, shape=[vocabulary_size])
a = embeddings
c = a*2


with tf.Session() as sess:
    sess.run(tf.initialize_all_variables())
    #1
    a_,c_ = sess.run([a, c], feed_dict={embeddings: np.random.rand(10)})
    print(c_/a_)
    #2
    a_ = sess.run(a, feed_dict={embeddings: np.random.rand(10)})
    c_ = sess.run(c, feed_dict={a: a_})
    print(c_/a_)
    #3
    a_ = sess.run(a, feed_dict={embeddings: np.random.rand(10)})
    c_ = sess.run(c, feed_dict={embeddings: np.random.rand(10)})
    print(c_/a_)