ts 入门02 基础运算

import tensorflow as tf

# 基础的常量定义与运算
a = tf.constant(2)
b = tf.constant(3)

with tf.Session() as sess:
    print("a=2, b=3")
    print("Addition with constants: %i" % sess.run(a+b))
    print("Multiplication with constants: %i" % sess.run(a*b))

# 定义基础 int16类型 变量
a = tf.placeholder(tf.int16)
b = tf.placeholder(tf.int16)

# 定义操作运算
add = tf.add(a, b)
mul = tf.multiply(a, b)

# Launch the default graph.
with tf.Session() as sess:
    # Run every operation with variable input
    print("Addition with variables: %i" % sess.run(add, feed_dict={a: 2, b: 3}))
    print("Multiplication with variables: %i" % sess.run(mul, feed_dict={a: 2, b: 3}))


# 定义矩阵以及矩阵相乘运算
matrix1 = tf.constant([[3., 3.]])

matrix2 = tf.constant([[2.],[2.]])

product = tf.matmul(matrix1, matrix2)

with tf.Session() as sess:
    result = sess.run(product)
    print(result)