外积，内积和转置

import tensorflow as tf
# 初始化矩阵
x = tf.constant([[1, 2, 3],
                 [1, 2, 3]])
y = tf.constant([[2, 3, 4],
                 [2, 3, 4]])
z = tf.constant([[3, 4],
                 [3, 4],
                 [3, 4]])
# 外积    外积的三种方式
out = tf.multiply(x, y)
out1 = tf.einsum('ij,ij->ij', x, y)
out2 = x*y
# 点积
dot = tf.matmul(x, z)
dot1 = tf.einsum('ij,jk->ik', x, z)
# 转置
trans = tf.transpose(x, [1, 0])
trans1 = tf.einsum('ij->ji', x)
with tf.Session() as sess:
    print('外积')
    print('out\n{}'.format(sess.run(out)))
    print('out1\n{}'.format(sess.run(out1)))
    print('out2\n{}'.format(sess.run(out2)))
    print('点积')
    print('dot\n{}'.format(sess.run(dot)))
    print('dot1\n{}'.format(sess.run(dot1)))
    print('转置')
    print('trans\n{}'.format(sess.run(trans)))
    print('trans1\n{}'.format(sess.run(trans1)))