Demo2_data_IO.ipynb

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      "33.2\n",
      "33.3\n",
      "34.1\n"
     ]
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   "source": [
    "import tensorflow as tf\n",
    "\n",
    "# 模拟一下同步先处理数据，然后才能取数据训练\n",
    "# 1、首先定义队列\n",
    "Q = tf.FIFOQueue(3, tf.float32)\n",
    "\n",
    "# 放入一些数据\n",
    "enq_many = Q.enqueue_many([[0.1, 0.2, 0.3], ])\n",
    "\n",
    "#  2、定义一些处理数据的逻辑，取数据的过程 （取数据，+1， 入队列）\n",
    "out_q = Q.dequeue()\n",
    "data = out_q + 1\n",
    "en_q = Q.enqueue(data)\n",
    "\n",
    "with tf.Session() as sess:\n",
    "    # 初始化队列\n",
    "    sess.run(enq_many)\n",
    "    # 处理数据\n",
    "    for i in range(100):\n",
    "        sess.run(en_q)\n",
    "    # 训练数据\n",
    "    for i in range(Q.size().eval()):\n",
    "        print(sess.run(Q.dequeue()))\n"
   ]
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