{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 一行两列\n",
    "matrix1 = tf.constant([[1, 0]])\n",
    "# 两行一列\n",
    "matrix2 = tf.constant([[1], [0]])\n",
    "# 矩阵相乘\n",
    "matmul = tf.matmul(matrix1, matrix2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Tensor(\"MatMul:0\", shape=(1, 1), dtype=int32)\n"
     ]
    }
   ],
   "source": [
    "# 打印结果 (Tensor而不是结果 2)\n",
    "print(matmul)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1]]\n"
     ]
    }
   ],
   "source": [
    "# 定义会话\n",
    "sess = tf.Session()\n",
    "# 真正开始执行\n",
    "print(sess.run(matmul))\n",
    "sess.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1]]\n"
     ]
    }
   ],
   "source": [
    "# with ... as ...的写法，可以保证 session会自动关闭\n",
    "with tf.Session() as sess:\n",
    "    print(sess.run(matmul))"
   ]
  }
 ],
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