{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 创建变量\n",
    "a = tf.Variable([1, 0])\n",
    "b = tf.Variable([0, 1])\n",
    "# sub/add 两个 operation\n",
    "sub = tf.subtract(a, b)\n",
    "add = tf.add(a, b)\n",
    "\n",
    "# 初始化变量\n",
    "init = tf.global_variables_initializer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1 -1]\n",
      "[1 1]\n"
     ]
    }
   ],
   "source": [
    "# 执行 Session\n",
    "with tf.Session() as sess:\n",
    "    sess.run(init)\n",
    "    print(sess.run(sub))\n",
    "    print(sess.run(add))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n"
     ]
    }
   ],
   "source": [
    "# Counter\n",
    "counter = tf.Variable(0, name=\"counter\")\n",
    "add_one = tf.add(counter, 1)\n",
    "assign = tf.assign(counter, add_one)\n",
    "init = tf.global_variables_initializer()\n",
    "\n",
    "with tf.Session() as sess:\n",
    "    sess.run(init)\n",
    "    for _ in range(5):\n",
    "        sess.run(assign)\n",
    "        print(sess.run(counter))"
   ]
  }
 ],
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