# 1. 使用佔位符placeholder
import tensorflow as tf
a = tf.placeholder(tf.int16)
b = tf.placeholder(tf.int16)

add = tf.add(a,b)
mul = tf.multiply(a,b)

with tf.Session() as sess:
	print('addition with variables:%i' % sess.run(add, feed_dict={a:1, b:2}))	# 這裡的1,2替換為numpy，這樣計算出來的結果也是numpy
	print(type
 
(sess.run(add, feed_dict={a:1, b:2})))

>>>
addition with variables:3
<class 'numpy.int16'>


c = np.ones(1) * 2 
d = np.asarray([3])
with tf.Session() as sess:
    t = sess.run(add, feed_dict={a:c, b:d})
    print(type(t))
>>><class 'numpy.ndarray'>