02-TensorFlow-Basics/04-TensorFlow-Regression-Example.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "# TensorFlow Regression Example"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 1 Million Points\n",
    "x_data = np.linspace(0.0,10.0,1000000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "noise = np.random.randn(len(x_data))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# y = mx + b + noise_levels\n",
    "b = 5\n",
    "\n",
    "y_true =  (0.5 * x_data ) + 5 + noise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "my_data = pd.concat([pd.DataFrame(data=x_data,columns=['X Data']),pd.DataFrame(data=y_true,columns=['Y'])],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>X Data</th>\n",
       "      <th>Y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00000</td>\n",
       "      <td>4.763854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.00001</td>\n",
       "      <td>4.058862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.00002</td>\n",
       "      <td>5.625209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.00003</td>\n",
       "      <td>4.555293</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.00004</td>\n",
       "      <td>3.655031</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    X Data         Y\n",
       "0  0.00000  4.763854\n",
       "1  0.00001  4.058862\n",
       "2  0.00002  5.625209\n",
       "3  0.00003  4.555293\n",
       "4  0.00004  3.655031"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x17c74679390>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEKCAYAAAAfGVI8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17c71fb4b70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_data.sample(n=250).plot(kind='scatter',x='X Data',y='Y')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TensorFlow\n",
    "## Batch Size\n",
    "\n",
    "We will take the data in batches (1,000,000 points is a lot to pass in at once)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Random 10 points to grab\n",
    "batch_size = 8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Variables **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "m = tf.Variable(0.5)\n",
    "b = tf.Variable(1.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Placeholders **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "xph = tf.placeholder(tf.float32,[batch_size])\n",
    "yph = tf.placeholder(tf.float32,[batch_size])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Graph **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_model = m*xph + b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Loss Function **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "error = tf.reduce_sum(tf.square(yph-y_model))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Optimizer **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "optimizer = tf.train.GradientDescentOptimizer(learning_rate=0.001)\n",
    "train = optimizer.minimize(error)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "** Initialize Variables **"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "init = tf.global_variables_initializer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Session"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "with tf.Session() as sess:\n",
    "    \n",
    "    sess.run(init)\n",
    "    \n",
    "    batches = 1000\n",
    "    \n",
    "    for i in range(batches):\n",
    "        \n",
    "        rand_ind = np.random.randint(len(x_data),size=batch_size)\n",
    "        \n",
    "        feed = {xph:x_data[rand_ind],yph:y_true[rand_ind]}\n",
    "        \n",
    "        sess.run(train,feed_dict=feed)\n",
    "        \n",
    "    model_m,model_b = sess.run([m,b])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.48660713"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.8790665"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_hat = x_data * model_m + model_b"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x17c78e0dfd0>]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEKCAYAAAAfGVI8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTBTxypvnNAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17c78e391d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_data.sample(n=250).plot(kind='scatter',x='X Data',y='Y')\n",
    "plt.plot(x_data,y_hat,'r')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## tf.estimator API\n",
    "\n",
    "Much simpler API for basic tasks like regression! We'll talk about more abstractions like TF-Slim later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "feat_cols = [tf.feature_column.numeric_column('x',shape=[1])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Using default config.\n",
      "WARNING:tensorflow:Using temporary folder as model directory: C:\\Users\\Marcial\\AppData\\Local\\Temp\\tmphej5e4se\n",
      "INFO:tensorflow:Using config: {'_model_dir': 'C:\\\\Users\\\\Marcial\\\\AppData\\\\Local\\\\Temp\\\\tmphej5e4se', '_save_checkpoints_secs': 600, '_log_step_count_steps': 100, '_keep_checkpoint_max': 5, '_save_checkpoints_steps': None, '_session_config': None, '_tf_random_seed': 1, '_keep_checkpoint_every_n_hours': 10000, '_save_summary_steps': 100}\n"
     ]
    }
   ],
   "source": [
    "estimator = tf.estimator.LinearRegressor(feature_columns=feat_cols)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train Test Split\n",
    "\n",
    "We haven't actually performed a train test split yet! So let's do that on our data now and perform a more realistic version of a Regression Task"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x_train, x_eval, y_train, y_eval = train_test_split(x_data,y_true,test_size=0.3, random_state = 101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(700000,)\n",
      "(700000,)\n",
      "(300000,)\n",
      "(300000,)\n"
     ]
    }
   ],
   "source": [
    "print(x_train.shape)\n",
    "print(y_train.shape)\n",
    "\n",
    "print(x_eval.shape)\n",
    "print(y_eval.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set up Estimator Inputs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Can also do .pandas_input_fn\n",
    "input_func = tf.estimator.inputs.numpy_input_fn({'x':x_train},y_train,batch_size=4,num_epochs=None,shuffle=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train_input_func = tf.estimator.inputs.numpy_input_fn({'x':x_train},y_train,batch_size=4,num_epochs=1000,shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "eval_input_func = tf.estimator.inputs.numpy_input_fn({'x':x_eval},y_eval,batch_size=4,num_epochs=1000,shuffle=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Train the Estimator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Create CheckpointSaverHook.\n",
      "INFO:tensorflow:Saving checkpoints for 1 into C:\\Users\\Marcial\\AppData\\Local\\Temp\\tmphej5e4se\\model.ckpt.\n",
      "INFO:tensorflow:loss = 221.003, step = 1\n",
      "INFO:tensorflow:global_step/sec: 910.556\n",
      "INFO:tensorflow:loss = 10.6791, step = 101 (0.111 sec)\n",
      "INFO:tensorflow:global_step/sec: 1007.43\n",
      "INFO:tensorflow:loss = 21.3457, step = 201 (0.099 sec)\n",
      "INFO:tensorflow:global_step/sec: 945.347\n",
      "INFO:tensorflow:loss = 11.026, step = 301 (0.106 sec)\n",
      "INFO:tensorflow:global_step/sec: 949.829\n",
      "INFO:tensorflow:loss = 10.8599, step = 401 (0.105 sec)\n",
      "INFO:tensorflow:global_step/sec: 1028.2\n",
      "INFO:tensorflow:loss = 13.3654, step = 501 (0.097 sec)\n",
      "INFO:tensorflow:global_step/sec: 1033.52\n",
      "INFO:tensorflow:loss = 2.5809, step = 601 (0.097 sec)\n",
      "INFO:tensorflow:global_step/sec: 1022.91\n",
      "INFO:tensorflow:loss = 4.30405, step = 701 (0.098 sec)\n",
      "INFO:tensorflow:global_step/sec: 1044.28\n",
      "INFO:tensorflow:loss = 4.66325, step = 801 (0.096 sec)\n",
      "INFO:tensorflow:global_step/sec: 992.324\n",
      "INFO:tensorflow:loss = 10.0263, step = 901 (0.101 sec)\n",
      "INFO:tensorflow:Saving checkpoints for 1000 into C:\\Users\\Marcial\\AppData\\Local\\Temp\\tmphej5e4se\\model.ckpt.\n",
      "INFO:tensorflow:Loss for final step: 8.46343.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.estimator.canned.linear.LinearRegressor at 0x17e67bc4748>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "estimator.train(input_fn=input_func,steps=1000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Evaluation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Starting evaluation at 2017-08-29-07:31:13\n",
      "INFO:tensorflow:Restoring parameters from C:\\Users\\Marcial\\AppData\\Local\\Temp\\tmphej5e4se\\model.ckpt-1000\n",
      "INFO:tensorflow:Evaluation [1/1000]\n",
      "INFO:tensorflow:Evaluation [2/1000]\n",
      "INFO:tensorflow:Evaluation [3/1000]\n",
      "INFO:tensorflow:Evaluation [4/1000]\n",
      "INFO:tensorflow:Evaluation [5/1000]\n",
      "INFO:tensorflow:Evaluation [6/1000]\n",
      "INFO:tensorflow:Evaluation [7/1000]\n",
      "INFO:tensorflow:Evaluation [8/1000]\n",
      "INFO:tensorflow:Evaluation [9/1000]\n",
      "INFO:tensorflow:Evaluation [10/1000]\n",
      "INFO:tensorflow:Evaluation [11/1000]\n",
      "INFO:tensorflow:Evaluation [12/1000]\n",
      "INFO:tensorflow:Evaluation [13/1000]\n",
      "INFO:tensorflow:Evaluation [14/1000]\n",
      "INFO:tensorflow:Evaluation [15/1000]\n",
      "INFO:tensorflow:Evaluation [16/1000]\n",
      "INFO:tensorflow:Evaluation [17/1000]\n",
      "INFO:tensorflow:Evaluation [18/1000]\n",
      "INFO:tensorflow:Evaluation [19/1000]\n",
      "INFO:tensorflow:Evaluation [20/1000]\n",
      "INFO:tensorflow:Evaluation [21/1000]\n",
      "INFO:tensorflow:Evaluation [22/1000]\n",
      "INFO:tensorflow:Evaluation [23/1000]\n",
      "INFO:tensorflow:Evaluation [24/1000]\n",
      "INFO:tensorflow:Evaluation [25/1000]\n",
      "INFO:tensorflow:Evaluation [26/1000]\n",
      "INFO:tensorflow:Evaluation [27/1000]\n",
      "INFO:tensorflow:Evaluation [28/1000]\n",
      "INFO:tensorflow:Evaluation [29/1000]\n",
      "INFO:tensorflow:Evaluation [30/1000]\n",
      "INFO:tensorflow:Evaluation [31/1000]\n",
      "INFO:tensorflow:Evaluation [32/1000]\n",
      "INFO:tensorflow:Evaluation [33/1000]\n",
      "INFO:tensorflow:Evaluation [34/1000]\n",
      "INFO:tensorflow:Evaluation [35/1000]\n",
      "INFO:tensorflow:Evaluation [36/1000]\n",
      "INFO:tensorflow:Evaluation [37/1000]\n",
      "INFO:tensorflow:Evaluation [38/1000]\n",
      "INFO:tensorflow:Evaluation [39/1000]\n",
      "INFO:tensorflow:Evaluation [40/1000]\n",
      "INFO:tensorflow:Evaluation [41/1000]\n",
      "INFO:tensorflow:Evaluation [42/1000]\n",
      "INFO:tensorflow:Evaluation [43/1000]\n",
      "INFO:tensorflow:Evaluation [44/1000]\n",
      "INFO:tensorflow:Evaluation [45/1000]\n",
      "INFO:tensorflow:Evaluation [46/1000]\n",
      "INFO:tensorflow:Evaluation [47/1000]\n",
      "INFO:tensorflow:Evaluation [48/1000]\n",
      "INFO:tensorflow:Evaluation [49/1000]\n",
      "INFO:tensorflow:Evaluation [50/1000]\n",
      "INFO:tensorflow:Evaluation [51/1000]\n",
      "INFO:tensorflow:Evaluation [52/1000]\n",
      "INFO:tensorflow:Evaluation [53/1000]\n",
      "INFO:tensorflow:Evaluation [54/1000]\n",
      "INFO:tensorflow:Evaluation [55/1000]\n",
      "INFO:tensorflow:Evaluation [56/1000]\n",
      "INFO:tensorflow:Evaluation [57/1000]\n",
      "INFO:tensorflow:Evaluation [58/1000]\n",
      "INFO:tensorflow:Evaluation [59/1000]\n",
      "INFO:tensorflow:Evaluation [60/1000]\n",
      "INFO:tensorflow:Evaluation [61/1000]\n",
      "INFO:tensorflow:Evaluation [62/1000]\n",
      "INFO:tensorflow:Evaluation [63/1000]\n",
      "INFO:tensorflow:Evaluation [64/1000]\n",
      "INFO:tensorflow:Evaluation [65/1000]\n",
      "INFO:tensorflow:Evaluation [66/1000]\n",
      "INFO:tensorflow:Evaluation [67/1000]\n",
      "INFO:tensorflow:Evaluation [68/1000]\n",
      "INFO:tensorflow:Evaluation [69/1000]\n",
      "INFO:tensorflow:Evaluation [70/1000]\n",
      "INFO:tensorflow:Evaluation [71/1000]\n",
      "INFO:tensorflow:Evaluation [72/1000]\n",
      "INFO:tensorflow:Evaluation [73/1000]\n",
      "INFO:tensorflow:Evaluation [74/1000]\n",
      "INFO:tensorflow:Evaluation [75/1000]\n",
      "INFO:tensorflow:Evaluation [76/1000]\n",
      "INFO:tensorflow:Evaluation [77/1000]\n",
      "INFO:tensorflow:Evaluation [78/1000]\n",
      "INFO:tensorflow:Evaluation [79/1000]\n",
      "INFO:tensorflow:Evaluation [80/1000]\n",
      "INFO:tensorflow:Evaluation [81/1000]\n",
      "INFO:tensorflow:Evaluation [82/1000]\n",
      "INFO:tensorflow:Evaluation [83/1000]\n",
      "INFO:tensorflow:Evaluation [84/1000]\n",
      "INFO:tensorflow:Evaluation [85/1000]\n",
      "INFO:tensorflow:Evaluation [86/1000]\n",
      "INFO:tensorflow:Evaluation [87/1000]\n",
      "INFO:tensorflow:Evaluation [88/1000]\n",
      "INFO:tensorflow:Evaluation [89/1000]\n",
      "INFO:tensorflow:Evaluation [90/1000]\n",
      "INFO:tensorflow:Evaluation [91/1000]\n",
      "INFO:tensorflow:Evaluation [92/1000]\n",
      "INFO:tensorflow:Evaluation [93/1000]\n",
      "INFO:tensorflow:Evaluation [94/1000]\n",
      "INFO:tensorflow:Evaluation [95/1000]\n",
      "INFO:tensorflow:Evaluation [96/1000]\n",
      "INFO:tensorflow:Evaluation [97/1000]\n",
      "INFO:tensorflow:Evaluation [98/1000]\n",
      "INFO:tensorflow:Evaluation [99/1000]\n",
      "INFO:tensorflow:Evaluation [100/1000]\n",
      "INFO:tensorflow:Evaluation [101/1000]\n",
      "INFO:tensorflow:Evaluation [102/1000]\n",
      "INFO:tensorflow:Evaluation [103/1000]\n",
      "INFO:tensorflow:Evaluation [104/1000]\n",
      "INFO:tensorflow:Evaluation [105/1000]\n",
      "INFO:tensorflow:Evaluation [106/1000]\n",
      "INFO:tensorflow:Evaluation [107/1000]\n",
      "INFO:tensorflow:Evaluation [108/1000]\n",
      "INFO:tensorflow:Evaluation [109/1000]\n",
      "INFO:tensorflow:Evaluation [110/1000]\n",
      "INFO:tensorflow:Evaluation [111/1000]\n",
      "INFO:tensorflow:Evaluation [112/1000]\n",
      "INFO:tensorflow:Evaluation [113/1000]\n",
      "INFO:tensorflow:Evaluation [114/1000]\n",
      "INFO:tensorflow:Evaluation [115/1000]\n",
      "INFO:tensorflow:Evaluation [116/1000]\n",
      "INFO:tensorflow:Evaluation [117/1000]\n",
      "INFO:tensorflow:Evaluation [118/1000]\n",
      "INFO:tensorflow:Evaluation [119/1000]\n",
      "INFO:tensorflow:Evaluation [120/1000]\n",
      "INFO:tensorflow:Evaluation [121/1000]\n",
      "INFO:tensorflow:Evaluation [122/1000]\n",
      "INFO:tensorflow:Evaluation [123/1000]\n",
      "INFO:tensorflow:Evaluation [124/1000]\n",
      "INFO:tensorflow:Evaluation [125/1000]\n",
      "INFO:tensorflow:Evaluation [126/1000]\n",
      "INFO:tensorflow:Evaluation [127/1000]\n",
      "INFO:tensorflow:Evaluation [128/1000]\n",
      "INFO:tensorflow:Evaluation [129/1000]\n",
      "INFO:tensorflow:Evaluation [130/1000]\n",
      "INFO:tensorflow:Evaluation [131/1000]\n",
      "INFO:tensorflow:Evaluation [132/1000]\n",
      "INFO:tensorflow:Evaluation [133/1000]\n",
      "INFO:tensorflow:Evaluation [134/1000]\n",
      "INFO:tensorflow:Evaluation [135/1000]\n",
      "INFO:tensorflow:Evaluation [136/1000]\n",
      "INFO:tensorflow:Evaluation [137/1000]\n",
      "INFO:tensorflow:Evaluation [138/1000]\n",
      "INFO:tensorflow:Evaluation [139/1000]\n",
      "INFO:tensorflow:Evaluation [140/1000]\n",
      "INFO:tensorflow:Evaluation [141/1000]\n",
      "INFO:tensorflow:Evaluation [142/1000]\n",
      "INFO:tensorflow:Evaluation [143/1000]\n",
      "INFO:tensorflow:Evaluation [144/1000]\n",
      "INFO:tensorflow:Evaluation [145/1000]\n",
      "INFO:tensorflow:Evaluation [146/1000]\n",
      "INFO:tensorflow:Evaluation [147/1000]\n",
      "INFO:tensorflow:Evaluation [148/1000]\n",
      "INFO:tensorflow:Evaluation [149/1000]\n",
      "INFO:tensorflow:Evaluation [150/1000]\n",
      "INFO:tensorflow:Evaluation [151/1000]\n",
      "INFO:tensorflow:Evaluation [152/1000]\n",
      "INFO:tensorflow:Evaluation [153/1000]\n",
      "INFO:tensorflow:Evaluation [154/1000]\n",
      "INFO:tensorflow:Evaluation [155/1000]\n",
      "INFO:tensorflow:Evaluation [156/1000]\n",
      "INFO:tensorflow:Evaluation [157/1000]\n",
      "INFO:tensorflow:Evaluation [158/1000]\n",
      "INFO:tensorflow:Evaluation [159/1000]\n",
      "INFO:tensorflow:Evaluation [160/1000]\n",
      "INFO:tensorflow:Evaluation [161/1000]\n",
      "INFO:tensorflow:Evaluation [162/1000]\n",
      "INFO:tensorflow:Evaluation [163/1000]\n",
      "INFO:tensorflow:Evaluation [164/1000]\n",
      "INFO:tensorflow:Evaluation [165/1000]\n",
      "INFO:tensorflow:Evaluation [166/1000]\n",
      "INFO:tensorflow:Evaluation [167/1000]\n",
      "INFO:tensorflow:Evaluation [168/1000]\n",
      "INFO:tensorflow:Evaluation [169/1000]\n",
      "INFO:tensorflow:Evaluation [170/1000]\n",
      "INFO:tensorflow:Evaluation [171/1000]\n",
      "INFO:tensorflow:Evaluation [172/1000]\n",
      "INFO:tensorflow:Evaluation [173/1000]\n",
      "INFO:tensorflow:Evaluation [174/1000]\n",
      "INFO:tensorflow:Evaluation [175/1000]\n",
      "INFO:tensorflow:Evaluation [176/1000]\n",
      "INFO:tensorflow:Evaluation [177/1000]\n",
      "INFO:tensorflow:Evaluation [178/1000]\n",
      "INFO:tensorflow:Evaluation [179/1000]\n",
      "INFO:tensorflow:Evaluation [180/1000]\n",
      "INFO:tensorflow:Evaluation [181/1000]\n",
      "INFO:tensorflow:Evaluation [182/1000]\n",
      "INFO:tensorflow:Evaluation [183/1000]\n",
      "INFO:tensorflow:Evaluation [184/1000]\n",
      "INFO:tensorflow:Evaluation [185/1000]\n",
      "INFO:tensorflow:Evaluation [186/1000]\n",
      "INFO:tensorflow:Evaluation [187/1000]\n",
      "INFO:tensorflow:Evaluation [188/1000]\n",
      "INFO:tensorflow:Evaluation [189/1000]\n",
      "INFO:tensorflow:Evaluation [190/1000]\n",
      "INFO:tensorflow:Evaluation [191/1000]\n",
      "INFO:tensorflow:Evaluation [192/1000]\n",
      "INFO:tensorflow:Evaluation [193/1000]\n",
      "INFO:tensorflow:Evaluation [194/1000]\n",
      "INFO:tensorflow:Evaluation [195/1000]\n",
      "INFO:tensorflow:Evaluation [196/1000]\n",
      "INFO:tensorflow:Evaluation [197/1000]\n",
      "INFO:tensorflow:Evaluation [198/1000]\n",
      "INFO:tensorflow:Evaluation [199/1000]\n",
      "INFO:tensorflow:Evaluation [200/1000]\n",
      "INFO:tensorflow:Evaluation [201/1000]\n",
      "INFO:tensorflow:Evaluation [202/1000]\n",
      "INFO:tensorflow:Evaluation [203/1000]\n",
      "INFO:tensorflow:Evaluation [204/1000]\n",
      "INFO:tensorflow:Evaluation [205/1000]\n",
      "INFO:tensorflow:Evaluation [206/1000]\n",
      "INFO:tensorflow:Evaluation [207/1000]\n",
      "INFO:tensorflow:Evaluation [208/1000]\n",
      "INFO:tensorflow:Evaluation [209/1000]\n",
      "INFO:tensorflow:Evaluation [210/1000]\n",
      "INFO:tensorflow:Evaluation [211/1000]\n",
      "INFO:tensorflow:Evaluation [212/1000]\n",
      "INFO:tensorflow:Evaluation [213/1000]\n",
      "INFO:tensorflow:Evaluation [214/1000]\n",
      "INFO:tensorflow:Evaluation [215/1000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Evaluation [216/1000]\n",
      "INFO:tensorflow:Evaluation [217/1000]\n",
      "INFO:tensorflow:Evaluation [218/1000]\n",
      "INFO:tensorflow:Evaluation [219/1000]\n",
      "INFO:tensorflow:Evaluation [220/1000]\n",
      "INFO:tensorflow:Evaluation [221/1000]\n",
      "INFO:tensorflow:Evaluation [222/1000]\n",
      "INFO:tensorflow:Evaluation [223/1000]\n",
      "INFO:tensorflow:Evaluation [224/1000]\n",
      "INFO:tensorflow:Evaluation [225/1000]\n",
      "INFO:tensorflow:Evaluation [226/1000]\n",
      "INFO:tensorflow:Evaluation [227/1000]\n",
      "INFO:tensorflow:Evaluation [228/1000]\n",
      "INFO:tensorflow:Evaluation [229/1000]\n",
      "INFO:tensorflow:Evaluation [230/1000]\n",
      "INFO:tensorflow:Evaluation [231/1000]\n",
      "INFO:tensorflow:Evaluation [232/1000]\n",
      "INFO:tensorflow:Evaluation [233/1000]\n",
      "INFO:tensorflow:Evaluation [234/1000]\n",
      "INFO:tensorflow:Evaluation [235/1000]\n",
      "INFO:tensorflow:Evaluation [236/1000]\n",
      "INFO:tensorflow:Evaluation [237/1000]\n",
      "INFO:tensorflow:Evaluation [238/1000]\n",
      "INFO:tensorflow:Evaluation [239/1000]\n",
      "INFO:tensorflow:Evaluation [240/1000]\n",
      "INFO:tensorflow:Evaluation [241/1000]\n",
      "INFO:tensorflow:Evaluation [242/1000]\n",
      "INFO:tensorflow:Evaluation [243/1000]\n",
      "INFO:tensorflow:Evaluation [244/1000]\n",
      "INFO:tensorflow:Evaluation [245/1000]\n",
      "INFO:tensorflow:Evaluation [246/1000]\n",
      "INFO:tensorflow:Evaluation [247/1000]\n",
      "INFO:tensorflow:Evaluation [248/1000]\n",
      "INFO:tensorflow:Evaluation [249/1000]\n",
      "INFO:tensorflow:Evaluation [250/1000]\n",
      "INFO:tensorflow:Evaluation [251/1000]\n",
      "INFO:tensorflow:Evaluation [252/1000]\n",
      "INFO:tensorflow:Evaluation [253/1000]\n",
      "INFO:tensorflow:Evaluation [254/1000]\n",
      "INFO:tensorflow:Evaluation [255/1000]\n",
      "INFO:tensorflow:Evaluation [256/1000]\n",
      "INFO:tensorflow:Evaluation [257/1000]\n",
      "INFO:tensorflow:Evaluation [258/1000]\n",
      "INFO:tensorflow:Evaluation [259/1000]\n",
      "INFO:tensorflow:Evaluation [260/1000]\n",
      "INFO:tensorflow:Evaluation [261/1000]\n",
      "INFO:tensorflow:Evaluation [262/1000]\n",
      "INFO:tensorflow:Evaluation [263/1000]\n",
      "INFO:tensorflow:Evaluation [264/1000]\n",
      "INFO:tensorflow:Evaluation [265/1000]\n",
      "INFO:tensorflow:Evaluation [266/1000]\n",
      "INFO:tensorflow:Evaluation [267/1000]\n",
      "INFO:tensorflow:Evaluation [268/1000]\n",
      "INFO:tensorflow:Evaluation [269/1000]\n",
      "INFO:tensorflow:Evaluation [270/1000]\n",
      "INFO:tensorflow:Evaluation [271/1000]\n",
      "INFO:tensorflow:Evaluation [272/1000]\n",
      "INFO:tensorflow:Evaluation [273/1000]\n",
      "INFO:tensorflow:Evaluation [274/1000]\n",
      "INFO:tensorflow:Evaluation [275/1000]\n",
      "INFO:tensorflow:Evaluation [276/1000]\n",
      "INFO:tensorflow:Evaluation [277/1000]\n",
      "INFO:tensorflow:Evaluation [278/1000]\n",
      "INFO:tensorflow:Evaluation [279/1000]\n",
      "INFO:tensorflow:Evaluation [280/1000]\n",
      "INFO:tensorflow:Evaluation [281/1000]\n",
      "INFO:tensorflow:Evaluation [282/1000]\n",
      "INFO:tensorflow:Evaluation [283/1000]\n",
      "INFO:tensorflow:Evaluation [284/1000]\n",
      "INFO:tensorflow:Evaluation [285/1000]\n",
      "INFO:tensorflow:Evaluation [286/1000]\n",
      "INFO:tensorflow:Evaluation [287/1000]\n",
      "INFO:tensorflow:Evaluation [288/1000]\n",
      "INFO:tensorflow:Evaluation [289/1000]\n",
      "INFO:tensorflow:Evaluation [290/1000]\n",
      "INFO:tensorflow:Evaluation [291/1000]\n",
      "INFO:tensorflow:Evaluation [292/1000]\n",
      "INFO:tensorflow:Evaluation [293/1000]\n",
      "INFO:tensorflow:Evaluation [294/1000]\n",
      "INFO:tensorflow:Evaluation [295/1000]\n",
      "INFO:tensorflow:Evaluation [296/1000]\n",
      "INFO:tensorflow:Evaluation [297/1000]\n",
      "INFO:tensorflow:Evaluation [298/1000]\n",
      "INFO:tensorflow:Evaluation [299/1000]\n",
      "INFO:tensorflow:Evaluation [300/1000]\n",
      "INFO:tensorflow:Evaluation [301/1000]\n",
      "INFO:tensorflow:Evaluation [302/1000]\n",
      "INFO:tensorflow:Evaluation [303/1000]\n",
      "INFO:tensorflow:Evaluation [304/1000]\n",
      "INFO:tensorflow:Evaluation [305/1000]\n",
      "INFO:tensorflow:Evaluation [306/1000]\n",
      "INFO:tensorflow:Evaluation [307/1000]\n",
      "INFO:tensorflow:Evaluation [308/1000]\n",
      "INFO:tensorflow:Evaluation [309/1000]\n",
      "INFO:tensorflow:Evaluation [310/1000]\n",
      "INFO:tensorflow:Evaluation [311/1000]\n",
      "INFO:tensorflow:Evaluation [312/1000]\n",
      "INFO:tensorflow:Evaluation [313/1000]\n",
      "INFO:tensorflow:Evaluation [314/1000]\n",
      "INFO:tensorflow:Evaluation [315/1000]\n",
      "INFO:tensorflow:Evaluation [316/1000]\n",
      "INFO:tensorflow:Evaluation [317/1000]\n",
      "INFO:tensorflow:Evaluation [318/1000]\n",
      "INFO:tensorflow:Evaluation [319/1000]\n",
      "INFO:tensorflow:Evaluation [320/1000]\n",
      "INFO:tensorflow:Evaluation [321/1000]\n",
      "INFO:tensorflow:Evaluation [322/1000]\n",
      "INFO:tensorflow:Evaluation [323/1000]\n",
      "INFO:tensorflow:Evaluation [324/1000]\n",
      "INFO:tensorflow:Evaluation [325/1000]\n",
      "INFO:tensorflow:Evaluation [326/1000]\n",
      "INFO:tensorflow:Evaluation [327/1000]\n",
      "INFO:tensorflow:Evaluation [328/1000]\n",
      "INFO:tensorflow:Evaluation [329/1000]\n",
      "INFO:tensorflow:Evaluation [330/1000]\n",
      "INFO:tensorflow:Evaluation [331/1000]\n",
      "INFO:tensorflow:Evaluation [332/1000]\n",
      "INFO:tensorflow:Evaluation [333/1000]\n",
      "INFO:tensorflow:Evaluation [334/1000]\n",
      "INFO:tensorflow:Evaluation [335/1000]\n",
      "INFO:tensorflow:Evaluation [336/1000]\n",
      "INFO:tensorflow:Evaluation [337/1000]\n",
      "INFO:tensorflow:Evaluation [338/1000]\n",
      "INFO:tensorflow:Evaluation [339/1000]\n",
      "INFO:tensorflow:Evaluation [340/1000]\n",
      "INFO:tensorflow:Evaluation [341/1000]\n",
      "INFO:tensorflow:Evaluation [342/1000]\n",
      "INFO:tensorflow:Evaluation [343/1000]\n",
      "INFO:tensorflow:Evaluation [344/1000]\n",
      "INFO:tensorflow:Evaluation [345/1000]\n",
      "INFO:tensorflow:Evaluation [346/1000]\n",
      "INFO:tensorflow:Evaluation [347/1000]\n",
      "INFO:tensorflow:Evaluation [348/1000]\n",
      "INFO:tensorflow:Evaluation [349/1000]\n",
      "INFO:tensorflow:Evaluation [350/1000]\n",
      "INFO:tensorflow:Evaluation [351/1000]\n",
      "INFO:tensorflow:Evaluation [352/1000]\n",
      "INFO:tensorflow:Evaluation [353/1000]\n",
      "INFO:tensorflow:Evaluation [354/1000]\n",
      "INFO:tensorflow:Evaluation [355/1000]\n",
      "INFO:tensorflow:Evaluation [356/1000]\n",
      "INFO:tensorflow:Evaluation [357/1000]\n",
      "INFO:tensorflow:Evaluation [358/1000]\n",
      "INFO:tensorflow:Evaluation [359/1000]\n",
      "INFO:tensorflow:Evaluation [360/1000]\n",
      "INFO:tensorflow:Evaluation [361/1000]\n",
      "INFO:tensorflow:Evaluation [362/1000]\n",
      "INFO:tensorflow:Evaluation [363/1000]\n",
      "INFO:tensorflow:Evaluation [364/1000]\n",
      "INFO:tensorflow:Evaluation [365/1000]\n",
      "INFO:tensorflow:Evaluation [366/1000]\n",
      "INFO:tensorflow:Evaluation [367/1000]\n",
      "INFO:tensorflow:Evaluation [368/1000]\n",
      "INFO:tensorflow:Evaluation [369/1000]\n",
      "INFO:tensorflow:Evaluation [370/1000]\n",
      "INFO:tensorflow:Evaluation [371/1000]\n",
      "INFO:tensorflow:Evaluation [372/1000]\n",
      "INFO:tensorflow:Evaluation [373/1000]\n",
      "INFO:tensorflow:Evaluation [374/1000]\n",
      "INFO:tensorflow:Evaluation [375/1000]\n",
      "INFO:tensorflow:Evaluation [376/1000]\n",
      "INFO:tensorflow:Evaluation [377/1000]\n",
      "INFO:tensorflow:Evaluation [378/1000]\n",
      "INFO:tensorflow:Evaluation [379/1000]\n",
      "INFO:tensorflow:Evaluation [380/1000]\n",
      "INFO:tensorflow:Evaluation [381/1000]\n",
      "INFO:tensorflow:Evaluation [382/1000]\n",
      "INFO:tensorflow:Evaluation [383/1000]\n",
      "INFO:tensorflow:Evaluation [384/1000]\n",
      "INFO:tensorflow:Evaluation [385/1000]\n",
      "INFO:tensorflow:Evaluation [386/1000]\n",
      "INFO:tensorflow:Evaluation [387/1000]\n",
      "INFO:tensorflow:Evaluation [388/1000]\n",
      "INFO:tensorflow:Evaluation [389/1000]\n",
      "INFO:tensorflow:Evaluation [390/1000]\n",
      "INFO:tensorflow:Evaluation [391/1000]\n",
      "INFO:tensorflow:Evaluation [392/1000]\n",
      "INFO:tensorflow:Evaluation [393/1000]\n",
      "INFO:tensorflow:Evaluation [394/1000]\n",
      "INFO:tensorflow:Evaluation [395/1000]\n",
      "INFO:tensorflow:Evaluation [396/1000]\n",
      "INFO:tensorflow:Evaluation [397/1000]\n",
      "INFO:tensorflow:Evaluation [398/1000]\n",
      "INFO:tensorflow:Evaluation [399/1000]\n",
      "INFO:tensorflow:Evaluation [400/1000]\n",
      "INFO:tensorflow:Evaluation [401/1000]\n",
      "INFO:tensorflow:Evaluation [402/1000]\n",
      "INFO:tensorflow:Evaluation [403/1000]\n",
      "INFO:tensorflow:Evaluation [404/1000]\n",
      "INFO:tensorflow:Evaluation [405/1000]\n",
      "INFO:tensorflow:Evaluation [406/1000]\n",
      "INFO:tensorflow:Evaluation [407/1000]\n",
      "INFO:tensorflow:Evaluation [408/1000]\n",
      "INFO:tensorflow:Evaluation [409/1000]\n",
      "INFO:tensorflow:Evaluation [410/1000]\n",
      "INFO:tensorflow:Evaluation [411/1000]\n",
      "INFO:tensorflow:Evaluation [412/1000]\n",
      "INFO:tensorflow:Evaluation [413/1000]\n",
      "INFO:tensorflow:Evaluation [414/1000]\n",
      "INFO:tensorflow:Evaluation [415/1000]\n",
      "INFO:tensorflow:Evaluation [416/1000]\n",
      "INFO:tensorflow:Evaluation [417/1000]\n",
      "INFO:tensorflow:Evaluation [418/1000]\n",
      "INFO:tensorflow:Evaluation [419/1000]\n",
      "INFO:tensorflow:Evaluation [420/1000]\n",
      "INFO:tensorflow:Evaluation [421/1000]\n",
      "INFO:tensorflow:Evaluation [422/1000]\n",
      "INFO:tensorflow:Evaluation [423/1000]\n",
      "INFO:tensorflow:Evaluation [424/1000]\n",
      "INFO:tensorflow:Evaluation [425/1000]\n",
      "INFO:tensorflow:Evaluation [426/1000]\n",
      "INFO:tensorflow:Evaluation [427/1000]\n",
      "INFO:tensorflow:Evaluation [428/1000]\n",
      "INFO:tensorflow:Evaluation [429/1000]\n",
      "INFO:tensorflow:Evaluation [430/1000]\n",
      "INFO:tensorflow:Evaluation [431/1000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Evaluation [432/1000]\n",
      "INFO:tensorflow:Evaluation [433/1000]\n",
      "INFO:tensorflow:Evaluation [434/1000]\n",
      "INFO:tensorflow:Evaluation [435/1000]\n",
      "INFO:tensorflow:Evaluation [436/1000]\n",
      "INFO:tensorflow:Evaluation [437/1000]\n",
      "INFO:tensorflow:Evaluation [438/1000]\n",
      "INFO:tensorflow:Evaluation [439/1000]\n",
      "INFO:tensorflow:Evaluation [440/1000]\n",
      "INFO:tensorflow:Evaluation [441/1000]\n",
      "INFO:tensorflow:Evaluation [442/1000]\n",
      "INFO:tensorflow:Evaluation [443/1000]\n",
      "INFO:tensorflow:Evaluation [444/1000]\n",
      "INFO:tensorflow:Evaluation [445/1000]\n",
      "INFO:tensorflow:Evaluation [446/1000]\n",
      "INFO:tensorflow:Evaluation [447/1000]\n",
      "INFO:tensorflow:Evaluation [448/1000]\n",
      "INFO:tensorflow:Evaluation [449/1000]\n",
      "INFO:tensorflow:Evaluation [450/1000]\n",
      "INFO:tensorflow:Evaluation [451/1000]\n",
      "INFO:tensorflow:Evaluation [452/1000]\n",
      "INFO:tensorflow:Evaluation [453/1000]\n",
      "INFO:tensorflow:Evaluation [454/1000]\n",
      "INFO:tensorflow:Evaluation [455/1000]\n",
      "INFO:tensorflow:Evaluation [456/1000]\n",
      "INFO:tensorflow:Evaluation [457/1000]\n",
      "INFO:tensorflow:Evaluation [458/1000]\n",
      "INFO:tensorflow:Evaluation [459/1000]\n",
      "INFO:tensorflow:Evaluation [460/1000]\n",
      "INFO:tensorflow:Evaluation [461/1000]\n",
      "INFO:tensorflow:Evaluation [462/1000]\n",
      "INFO:tensorflow:Evaluation [463/1000]\n",
      "INFO:tensorflow:Evaluation [464/1000]\n",
      "INFO:tensorflow:Evaluation [465/1000]\n",
      "INFO:tensorflow:Evaluation [466/1000]\n",
      "INFO:tensorflow:Evaluation [467/1000]\n",
      "INFO:tensorflow:Evaluation [468/1000]\n",
      "INFO:tensorflow:Evaluation [469/1000]\n",
      "INFO:tensorflow:Evaluation [470/1000]\n",
      "INFO:tensorflow:Evaluation [471/1000]\n",
      "INFO:tensorflow:Evaluation [472/1000]\n",
      "INFO:tensorflow:Evaluation [473/1000]\n",
      "INFO:tensorflow:Evaluation [474/1000]\n",
      "INFO:tensorflow:Evaluation [475/1000]\n",
      "INFO:tensorflow:Evaluation [476/1000]\n",
      "INFO:tensorflow:Evaluation [477/1000]\n",
      "INFO:tensorflow:Evaluation [478/1000]\n",
      "INFO:tensorflow:Evaluation [479/1000]\n",
      "INFO:tensorflow:Evaluation [480/1000]\n",
      "INFO:tensorflow:Evaluation [481/1000]\n",
      "INFO:tensorflow:Evaluation [482/1000]\n",
      "INFO:tensorflow:Evaluation [483/1000]\n",
      "INFO:tensorflow:Evaluation [484/1000]\n",
      "INFO:tensorflow:Evaluation [485/1000]\n",
      "INFO:tensorflow:Evaluation [486/1000]\n",
      "INFO:tensorflow:Evaluation [487/1000]\n",
      "INFO:tensorflow:Evaluation [488/1000]\n",
      "INFO:tensorflow:Evaluation [489/1000]\n",
      "INFO:tensorflow:Evaluation [490/1000]\n",
      "INFO:tensorflow:Evaluation [491/1000]\n",
      "INFO:tensorflow:Evaluation [492/1000]\n",
      "INFO:tensorflow:Evaluation [493/1000]\n",
      "INFO:tensorflow:Evaluation [494/1000]\n",
      "INFO:tensorflow:Evaluation [495/1000]\n",
      "INFO:tensorflow:Evaluation [496/1000]\n",
      "INFO:tensorflow:Evaluation [497/1000]\n",
      "INFO:tensorflow:Evaluation [498/1000]\n",
      "INFO:tensorflow:Evaluation [499/1000]\n",
      "INFO:tensorflow:Evaluation [500/1000]\n",
      "INFO:tensorflow:Evaluation [501/1000]\n",
      "INFO:tensorflow:Evaluation [502/1000]\n",
      "INFO:tensorflow:Evaluation [503/1000]\n",
      "INFO:tensorflow:Evaluation [504/1000]\n",
      "INFO:tensorflow:Evaluation [505/1000]\n",
      "INFO:tensorflow:Evaluation [506/1000]\n",
      "INFO:tensorflow:Evaluation [507/1000]\n",
      "INFO:tensorflow:Evaluation [508/1000]\n",
      "INFO:tensorflow:Evaluation [509/1000]\n",
      "INFO:tensorflow:Evaluation [510/1000]\n",
      "INFO:tensorflow:Evaluation [511/1000]\n",
      "INFO:tensorflow:Evaluation [512/1000]\n",
      "INFO:tensorflow:Evaluation [513/1000]\n",
      "INFO:tensorflow:Evaluation [514/1000]\n",
      "INFO:tensorflow:Evaluation [515/1000]\n",
      "INFO:tensorflow:Evaluation [516/1000]\n",
      "INFO:tensorflow:Evaluation [517/1000]\n",
      "INFO:tensorflow:Evaluation [518/1000]\n",
      "INFO:tensorflow:Evaluation [519/1000]\n",
      "INFO:tensorflow:Evaluation [520/1000]\n",
      "INFO:tensorflow:Evaluation [521/1000]\n",
      "INFO:tensorflow:Evaluation [522/1000]\n",
      "INFO:tensorflow:Evaluation [523/1000]\n",
      "INFO:tensorflow:Evaluation [524/1000]\n",
      "INFO:tensorflow:Evaluation [525/1000]\n",
      "INFO:tensorflow:Evaluation [526/1000]\n",
      "INFO:tensorflow:Evaluation [527/1000]\n",
      "INFO:tensorflow:Evaluation [528/1000]\n",
      "INFO:tensorflow:Evaluation [529/1000]\n",
      "INFO:tensorflow:Evaluation [530/1000]\n",
      "INFO:tensorflow:Evaluation [531/1000]\n",
      "INFO:tensorflow:Evaluation [532/1000]\n",
      "INFO:tensorflow:Evaluation [533/1000]\n",
      "INFO:tensorflow:Evaluation [534/1000]\n",
      "INFO:tensorflow:Evaluation [535/1000]\n",
      "INFO:tensorflow:Evaluation [536/1000]\n",
      "INFO:tensorflow:Evaluation [537/1000]\n",
      "INFO:tensorflow:Evaluation [538/1000]\n",
      "INFO:tensorflow:Evaluation [539/1000]\n",
      "INFO:tensorflow:Evaluation [540/1000]\n",
      "INFO:tensorflow:Evaluation [541/1000]\n",
      "INFO:tensorflow:Evaluation [542/1000]\n",
      "INFO:tensorflow:Evaluation [543/1000]\n",
      "INFO:tensorflow:Evaluation [544/1000]\n",
      "INFO:tensorflow:Evaluation [545/1000]\n",
      "INFO:tensorflow:Evaluation [546/1000]\n",
      "INFO:tensorflow:Evaluation [547/1000]\n",
      "INFO:tensorflow:Evaluation [548/1000]\n",
      "INFO:tensorflow:Evaluation [549/1000]\n",
      "INFO:tensorflow:Evaluation [550/1000]\n",
      "INFO:tensorflow:Evaluation [551/1000]\n",
      "INFO:tensorflow:Evaluation [552/1000]\n",
      "INFO:tensorflow:Evaluation [553/1000]\n",
      "INFO:tensorflow:Evaluation [554/1000]\n",
      "INFO:tensorflow:Evaluation [555/1000]\n",
      "INFO:tensorflow:Evaluation [556/1000]\n",
      "INFO:tensorflow:Evaluation [557/1000]\n",
      "INFO:tensorflow:Evaluation [558/1000]\n",
      "INFO:tensorflow:Evaluation [559/1000]\n",
      "INFO:tensorflow:Evaluation [560/1000]\n",
      "INFO:tensorflow:Evaluation [561/1000]\n",
      "INFO:tensorflow:Evaluation [562/1000]\n",
      "INFO:tensorflow:Evaluation [563/1000]\n",
      "INFO:tensorflow:Evaluation [564/1000]\n",
      "INFO:tensorflow:Evaluation [565/1000]\n",
      "INFO:tensorflow:Evaluation [566/1000]\n",
      "INFO:tensorflow:Evaluation [567/1000]\n",
      "INFO:tensorflow:Evaluation [568/1000]\n",
      "INFO:tensorflow:Evaluation [569/1000]\n",
      "INFO:tensorflow:Evaluation [570/1000]\n",
      "INFO:tensorflow:Evaluation [571/1000]\n",
      "INFO:tensorflow:Evaluation [572/1000]\n",
      "INFO:tensorflow:Evaluation [573/1000]\n",
      "INFO:tensorflow:Evaluation [574/1000]\n",
      "INFO:tensorflow:Evaluation [575/1000]\n",
      "INFO:tensorflow:Evaluation [576/1000]\n",
      "INFO:tensorflow:Evaluation [577/1000]\n",
      "INFO:tensorflow:Evaluation [578/1000]\n",
      "INFO:tensorflow:Evaluation [579/1000]\n",
      "INFO:tensorflow:Evaluation [580/1000]\n",
      "INFO:tensorflow:Evaluation [581/1000]\n",
      "INFO:tensorflow:Evaluation [582/1000]\n",
      "INFO:tensorflow:Evaluation [583/1000]\n",
      "INFO:tensorflow:Evaluation [584/1000]\n",
      "INFO:tensorflow:Evaluation [585/1000]\n",
      "INFO:tensorflow:Evaluation [586/1000]\n",
      "INFO:tensorflow:Evaluation [587/1000]\n",
      "INFO:tensorflow:Evaluation [588/1000]\n",
      "INFO:tensorflow:Evaluation [589/1000]\n",
      "INFO:tensorflow:Evaluation [590/1000]\n",
      "INFO:tensorflow:Evaluation [591/1000]\n",
      "INFO:tensorflow:Evaluation [592/1000]\n",
      "INFO:tensorflow:Evaluation [593/1000]\n",
      "INFO:tensorflow:Evaluation [594/1000]\n",
      "INFO:tensorflow:Evaluation [595/1000]\n",
      "INFO:tensorflow:Evaluation [596/1000]\n",
      "INFO:tensorflow:Evaluation [597/1000]\n",
      "INFO:tensorflow:Evaluation [598/1000]\n",
      "INFO:tensorflow:Evaluation [599/1000]\n",
      "INFO:tensorflow:Evaluation [600/1000]\n",
      "INFO:tensorflow:Evaluation [601/1000]\n",
      "INFO:tensorflow:Evaluation [602/1000]\n",
      "INFO:tensorflow:Evaluation [603/1000]\n",
      "INFO:tensorflow:Evaluation [604/1000]\n",
      "INFO:tensorflow:Evaluation [605/1000]\n",
      "INFO:tensorflow:Evaluation [606/1000]\n",
      "INFO:tensorflow:Evaluation [607/1000]\n",
      "INFO:tensorflow:Evaluation [608/1000]\n",
      "INFO:tensorflow:Evaluation [609/1000]\n",
      "INFO:tensorflow:Evaluation [610/1000]\n",
      "INFO:tensorflow:Evaluation [611/1000]\n",
      "INFO:tensorflow:Evaluation [612/1000]\n",
      "INFO:tensorflow:Evaluation [613/1000]\n",
      "INFO:tensorflow:Evaluation [614/1000]\n",
      "INFO:tensorflow:Evaluation [615/1000]\n",
      "INFO:tensorflow:Evaluation [616/1000]\n",
      "INFO:tensorflow:Evaluation [617/1000]\n",
      "INFO:tensorflow:Evaluation [618/1000]\n",
      "INFO:tensorflow:Evaluation [619/1000]\n",
      "INFO:tensorflow:Evaluation [620/1000]\n",
      "INFO:tensorflow:Evaluation [621/1000]\n",
      "INFO:tensorflow:Evaluation [622/1000]\n",
      "INFO:tensorflow:Evaluation [623/1000]\n",
      "INFO:tensorflow:Evaluation [624/1000]\n",
      "INFO:tensorflow:Evaluation [625/1000]\n",
      "INFO:tensorflow:Evaluation [626/1000]\n",
      "INFO:tensorflow:Evaluation [627/1000]\n",
      "INFO:tensorflow:Evaluation [628/1000]\n",
      "INFO:tensorflow:Evaluation [629/1000]\n",
      "INFO:tensorflow:Evaluation [630/1000]\n",
      "INFO:tensorflow:Evaluation [631/1000]\n",
      "INFO:tensorflow:Evaluation [632/1000]\n",
      "INFO:tensorflow:Evaluation [633/1000]\n",
      "INFO:tensorflow:Evaluation [634/1000]\n",
      "INFO:tensorflow:Evaluation [635/1000]\n",
      "INFO:tensorflow:Evaluation [636/1000]\n",
      "INFO:tensorflow:Evaluation [637/1000]\n",
      "INFO:tensorflow:Evaluation [638/1000]\n",
      "INFO:tensorflow:Evaluation [639/1000]\n",
      "INFO:tensorflow:Evaluation [640/1000]\n",
      "INFO:tensorflow:Evaluation [641/1000]\n",
      "INFO:tensorflow:Evaluation [642/1000]\n",
      "INFO:tensorflow:Evaluation [643/1000]\n",
      "INFO:tensorflow:Evaluation [644/1000]\n",
      "INFO:tensorflow:Evaluation [645/1000]\n",
      "INFO:tensorflow:Evaluation [646/1000]\n",
      "INFO:tensorflow:Evaluation [647/1000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Evaluation [648/1000]\n",
      "INFO:tensorflow:Evaluation [649/1000]\n",
      "INFO:tensorflow:Evaluation [650/1000]\n",
      "INFO:tensorflow:Evaluation [651/1000]\n",
      "INFO:tensorflow:Evaluation [652/1000]\n",
      "INFO:tensorflow:Evaluation [653/1000]\n",
      "INFO:tensorflow:Evaluation [654/1000]\n",
      "INFO:tensorflow:Evaluation [655/1000]\n",
      "INFO:tensorflow:Evaluation [656/1000]\n",
      "INFO:tensorflow:Evaluation [657/1000]\n",
      "INFO:tensorflow:Evaluation [658/1000]\n",
      "INFO:tensorflow:Evaluation [659/1000]\n",
      "INFO:tensorflow:Evaluation [660/1000]\n",
      "INFO:tensorflow:Evaluation [661/1000]\n",
      "INFO:tensorflow:Evaluation [662/1000]\n",
      "INFO:tensorflow:Evaluation [663/1000]\n",
      "INFO:tensorflow:Evaluation [664/1000]\n",
      "INFO:tensorflow:Evaluation [665/1000]\n",
      "INFO:tensorflow:Evaluation [666/1000]\n",
      "INFO:tensorflow:Evaluation [667/1000]\n",
      "INFO:tensorflow:Evaluation [668/1000]\n",
      "INFO:tensorflow:Evaluation [669/1000]\n",
      "INFO:tensorflow:Evaluation [670/1000]\n",
      "INFO:tensorflow:Evaluation [671/1000]\n",
      "INFO:tensorflow:Evaluation [672/1000]\n",
      "INFO:tensorflow:Evaluation [673/1000]\n",
      "INFO:tensorflow:Evaluation [674/1000]\n",
      "INFO:tensorflow:Evaluation [675/1000]\n",
      "INFO:tensorflow:Evaluation [676/1000]\n",
      "INFO:tensorflow:Evaluation [677/1000]\n",
      "INFO:tensorflow:Evaluation [678/1000]\n",
      "INFO:tensorflow:Evaluation [679/1000]\n",
      "INFO:tensorflow:Evaluation [680/1000]\n",
      "INFO:tensorflow:Evaluation [681/1000]\n",
      "INFO:tensorflow:Evaluation [682/1000]\n",
      "INFO:tensorflow:Evaluation [683/1000]\n",
      "INFO:tensorflow:Evaluation [684/1000]\n",
      "INFO:tensorflow:Evaluation [685/1000]\n",
      "INFO:tensorflow:Evaluation [686/1000]\n",
      "INFO:tensorflow:Evaluation [687/1000]\n",
      "INFO:tensorflow:Evaluation [688/1000]\n",
      "INFO:tensorflow:Evaluation [689/1000]\n",
      "INFO:tensorflow:Evaluation [690/1000]\n",
      "INFO:tensorflow:Evaluation [691/1000]\n",
      "INFO:tensorflow:Evaluation [692/1000]\n",
      "INFO:tensorflow:Evaluation [693/1000]\n",
      "INFO:tensorflow:Evaluation [694/1000]\n",
      "INFO:tensorflow:Evaluation [695/1000]\n",
      "INFO:tensorflow:Evaluation [696/1000]\n",
      "INFO:tensorflow:Evaluation [697/1000]\n",
      "INFO:tensorflow:Evaluation [698/1000]\n",
      "INFO:tensorflow:Evaluation [699/1000]\n",
      "INFO:tensorflow:Evaluation [700/1000]\n",
      "INFO:tensorflow:Evaluation [701/1000]\n",
      "INFO:tensorflow:Evaluation [702/1000]\n",
      "INFO:tensorflow:Evaluation [703/1000]\n",
      "INFO:tensorflow:Evaluation [704/1000]\n",
      "INFO:tensorflow:Evaluation [705/1000]\n",
      "INFO:tensorflow:Evaluation [706/1000]\n",
      "INFO:tensorflow:Evaluation [707/1000]\n",
      "INFO:tensorflow:Evaluation [708/1000]\n",
      "INFO:tensorflow:Evaluation [709/1000]\n",
      "INFO:tensorflow:Evaluation [710/1000]\n",
      "INFO:tensorflow:Evaluation [711/1000]\n",
      "INFO:tensorflow:Evaluation [712/1000]\n",
      "INFO:tensorflow:Evaluation [713/1000]\n",
      "INFO:tensorflow:Evaluation [714/1000]\n",
      "INFO:tensorflow:Evaluation [715/1000]\n",
      "INFO:tensorflow:Evaluation [716/1000]\n",
      "INFO:tensorflow:Evaluation [717/1000]\n",
      "INFO:tensorflow:Evaluation [718/1000]\n",
      "INFO:tensorflow:Evaluation [719/1000]\n",
      "INFO:tensorflow:Evaluation [720/1000]\n",
      "INFO:tensorflow:Evaluation [721/1000]\n",
      "INFO:tensorflow:Evaluation [722/1000]\n",
      "INFO:tensorflow:Evaluation [723/1000]\n",
      "INFO:tensorflow:Evaluation [724/1000]\n",
      "INFO:tensorflow:Evaluation [725/1000]\n",
      "INFO:tensorflow:Evaluation [726/1000]\n",
      "INFO:tensorflow:Evaluation [727/1000]\n",
      "INFO:tensorflow:Evaluation [728/1000]\n",
      "INFO:tensorflow:Evaluation [729/1000]\n",
      "INFO:tensorflow:Evaluation [730/1000]\n",
      "INFO:tensorflow:Evaluation [731/1000]\n",
      "INFO:tensorflow:Evaluation [732/1000]\n",
      "INFO:tensorflow:Evaluation [733/1000]\n",
      "INFO:tensorflow:Evaluation [734/1000]\n",
      "INFO:tensorflow:Evaluation [735/1000]\n",
      "INFO:tensorflow:Evaluation [736/1000]\n",
      "INFO:tensorflow:Evaluation [737/1000]\n",
      "INFO:tensorflow:Evaluation [738/1000]\n",
      "INFO:tensorflow:Evaluation [739/1000]\n",
      "INFO:tensorflow:Evaluation [740/1000]\n",
      "INFO:tensorflow:Evaluation [741/1000]\n",
      "INFO:tensorflow:Evaluation [742/1000]\n",
      "INFO:tensorflow:Evaluation [743/1000]\n",
      "INFO:tensorflow:Evaluation [744/1000]\n",
      "INFO:tensorflow:Evaluation [745/1000]\n",
      "INFO:tensorflow:Evaluation [746/1000]\n",
      "INFO:tensorflow:Evaluation [747/1000]\n",
      "INFO:tensorflow:Evaluation [748/1000]\n",
      "INFO:tensorflow:Evaluation [749/1000]\n",
      "INFO:tensorflow:Evaluation [750/1000]\n",
      "INFO:tensorflow:Evaluation [751/1000]\n",
      "INFO:tensorflow:Evaluation [752/1000]\n",
      "INFO:tensorflow:Evaluation [753/1000]\n",
      "INFO:tensorflow:Evaluation [754/1000]\n",
      "INFO:tensorflow:Evaluation [755/1000]\n",
      "INFO:tensorflow:Evaluation [756/1000]\n",
      "INFO:tensorflow:Evaluation [757/1000]\n",
      "INFO:tensorflow:Evaluation [758/1000]\n",
      "INFO:tensorflow:Evaluation [759/1000]\n",
      "INFO:tensorflow:Evaluation [760/1000]\n",
      "INFO:tensorflow:Evaluation [761/1000]\n",
      "INFO:tensorflow:Evaluation [762/1000]\n",
      "INFO:tensorflow:Evaluation [763/1000]\n",
      "INFO:tensorflow:Evaluation [764/1000]\n",
      "INFO:tensorflow:Evaluation [765/1000]\n",
      "INFO:tensorflow:Evaluation [766/1000]\n",
      "INFO:tensorflow:Evaluation [767/1000]\n",
      "INFO:tensorflow:Evaluation [768/1000]\n",
      "INFO:tensorflow:Evaluation [769/1000]\n",
      "INFO:tensorflow:Evaluation [770/1000]\n",
      "INFO:tensorflow:Evaluation [771/1000]\n",
      "INFO:tensorflow:Evaluation [772/1000]\n",
      "INFO:tensorflow:Evaluation [773/1000]\n",
      "INFO:tensorflow:Evaluation [774/1000]\n",
      "INFO:tensorflow:Evaluation [775/1000]\n",
      "INFO:tensorflow:Evaluation [776/1000]\n",
      "INFO:tensorflow:Evaluation [777/1000]\n",
      "INFO:tensorflow:Evaluation [778/1000]\n",
      "INFO:tensorflow:Evaluation [779/1000]\n",
      "INFO:tensorflow:Evaluation [780/1000]\n",
      "INFO:tensorflow:Evaluation [781/1000]\n",
      "INFO:tensorflow:Evaluation [782/1000]\n",
      "INFO:tensorflow:Evaluation [783/1000]\n",
      "INFO:tensorflow:Evaluation [784/1000]\n",
      "INFO:tensorflow:Evaluation [785/1000]\n",
      "INFO:tensorflow:Evaluation [786/1000]\n",
      "INFO:tensorflow:Evaluation [787/1000]\n",
      "INFO:tensorflow:Evaluation [788/1000]\n",
      "INFO:tensorflow:Evaluation [789/1000]\n",
      "INFO:tensorflow:Evaluation [790/1000]\n",
      "INFO:tensorflow:Evaluation [791/1000]\n",
      "INFO:tensorflow:Evaluation [792/1000]\n",
      "INFO:tensorflow:Evaluation [793/1000]\n",
      "INFO:tensorflow:Evaluation [794/1000]\n",
      "INFO:tensorflow:Evaluation [795/1000]\n",
      "INFO:tensorflow:Evaluation [796/1000]\n",
      "INFO:tensorflow:Evaluation [797/1000]\n",
      "INFO:tensorflow:Evaluation [798/1000]\n",
      "INFO:tensorflow:Evaluation [799/1000]\n",
      "INFO:tensorflow:Evaluation [800/1000]\n",
      "INFO:tensorflow:Evaluation [801/1000]\n",
      "INFO:tensorflow:Evaluation [802/1000]\n",
      "INFO:tensorflow:Evaluation [803/1000]\n",
      "INFO:tensorflow:Evaluation [804/1000]\n",
      "INFO:tensorflow:Evaluation [805/1000]\n",
      "INFO:tensorflow:Evaluation [806/1000]\n",
      "INFO:tensorflow:Evaluation [807/1000]\n",
      "INFO:tensorflow:Evaluation [808/1000]\n",
      "INFO:tensorflow:Evaluation [809/1000]\n",
      "INFO:tensorflow:Evaluation [810/1000]\n",
      "INFO:tensorflow:Evaluation [811/1000]\n",
      "INFO:tensorflow:Evaluation [812/1000]\n",
      "INFO:tensorflow:Evaluation [813/1000]\n",
      "INFO:tensorflow:Evaluation [814/1000]\n",
      "INFO:tensorflow:Evaluation [815/1000]\n",
      "INFO:tensorflow:Evaluation [816/1000]\n",
      "INFO:tensorflow:Evaluation [817/1000]\n",
      "INFO:tensorflow:Evaluation [818/1000]\n",
      "INFO:tensorflow:Evaluation [819/1000]\n",
      "INFO:tensorflow:Evaluation [820/1000]\n",
      "INFO:tensorflow:Evaluation [821/1000]\n",
      "INFO:tensorflow:Evaluation [822/1000]\n",
      "INFO:tensorflow:Evaluation [823/1000]\n",
      "INFO:tensorflow:Evaluation [824/1000]\n",
      "INFO:tensorflow:Evaluation [825/1000]\n",
      "INFO:tensorflow:Evaluation [826/1000]\n",
      "INFO:tensorflow:Evaluation [827/1000]\n",
      "INFO:tensorflow:Evaluation [828/1000]\n",
      "INFO:tensorflow:Evaluation [829/1000]\n",
      "INFO:tensorflow:Evaluation [830/1000]\n",
      "INFO:tensorflow:Evaluation [831/1000]\n",
      "INFO:tensorflow:Evaluation [832/1000]\n",
      "INFO:tensorflow:Evaluation [833/1000]\n",
      "INFO:tensorflow:Evaluation [834/1000]\n",
      "INFO:tensorflow:Evaluation [835/1000]\n",
      "INFO:tensorflow:Evaluation [836/1000]\n",
      "INFO:tensorflow:Evaluation [837/1000]\n",
      "INFO:tensorflow:Evaluation [838/1000]\n",
      "INFO:tensorflow:Evaluation [839/1000]\n",
      "INFO:tensorflow:Evaluation [840/1000]\n",
      "INFO:tensorflow:Evaluation [841/1000]\n",
      "INFO:tensorflow:Evaluation [842/1000]\n",
      "INFO:tensorflow:Evaluation [843/1000]\n",
      "INFO:tensorflow:Evaluation [844/1000]\n",
      "INFO:tensorflow:Evaluation [845/1000]\n",
      "INFO:tensorflow:Evaluation [846/1000]\n",
      "INFO:tensorflow:Evaluation [847/1000]\n",
      "INFO:tensorflow:Evaluation [848/1000]\n",
      "INFO:tensorflow:Evaluation [849/1000]\n",
      "INFO:tensorflow:Evaluation [850/1000]\n",
      "INFO:tensorflow:Evaluation [851/1000]\n",
      "INFO:tensorflow:Evaluation [852/1000]\n",
      "INFO:tensorflow:Evaluation [853/1000]\n",
      "INFO:tensorflow:Evaluation [854/1000]\n",
      "INFO:tensorflow:Evaluation [855/1000]\n",
      "INFO:tensorflow:Evaluation [856/1000]\n",
      "INFO:tensorflow:Evaluation [857/1000]\n",
      "INFO:tensorflow:Evaluation [858/1000]\n",
      "INFO:tensorflow:Evaluation [859/1000]\n",
      "INFO:tensorflow:Evaluation [860/1000]\n",
      "INFO:tensorflow:Evaluation [861/1000]\n",
      "INFO:tensorflow:Evaluation [862/1000]\n",
      "INFO:tensorflow:Evaluation [863/1000]\n",
      "INFO:tensorflow:Evaluation [864/1000]\n",
      "INFO:tensorflow:Evaluation [865/1000]\n",
      "INFO:tensorflow:Evaluation [866/1000]\n",
      "INFO:tensorflow:Evaluation [867/1000]\n",
      "INFO:tensorflow:Evaluation [868/1000]\n",
      "INFO:tensorflow:Evaluation [869/1000]\n",
      "INFO:tensorflow:Evaluation [870/1000]\n",
      "INFO:tensorflow:Evaluation [871/1000]\n",
      "INFO:tensorflow:Evaluation [872/1000]\n",
      "INFO:tensorflow:Evaluation [873/1000]\n",
      "INFO:tensorflow:Evaluation [874/1000]\n",
      "INFO:tensorflow:Evaluation [875/1000]\n",
      "INFO:tensorflow:Evaluation [876/1000]\n",
      "INFO:tensorflow:Evaluation [877/1000]\n",
      "INFO:tensorflow:Evaluation [878/1000]\n",
      "INFO:tensorflow:Evaluation [879/1000]\n",
      "INFO:tensorflow:Evaluation [880/1000]\n",
      "INFO:tensorflow:Evaluation [881/1000]\n",
      "INFO:tensorflow:Evaluation [882/1000]\n",
      "INFO:tensorflow:Evaluation [883/1000]\n",
      "INFO:tensorflow:Evaluation [884/1000]\n",
      "INFO:tensorflow:Evaluation [885/1000]\n",
      "INFO:tensorflow:Evaluation [886/1000]\n",
      "INFO:tensorflow:Evaluation [887/1000]\n",
      "INFO:tensorflow:Evaluation [888/1000]\n",
      "INFO:tensorflow:Evaluation [889/1000]\n",
      "INFO:tensorflow:Evaluation [890/1000]\n",
      "INFO:tensorflow:Evaluation [891/1000]\n",
      "INFO:tensorflow:Evaluation [892/1000]\n",
      "INFO:tensorflow:Evaluation [893/1000]\n",
      "INFO:tensorflow:Evaluation [894/1000]\n",
      "INFO:tensorflow:Evaluation [895/1000]\n",
      "INFO:tensorflow:Evaluation [896/1000]\n",
      "INFO:tensorflow:Evaluation [897/1000]\n",
      "INFO:tensorflow:Evaluation [898/1000]\n",
      "INFO:tensorflow:Evaluation [899/1000]\n",
      "INFO:tensorflow:Evaluation [900/1000]\n",
      "INFO:tensorflow:Evaluation [901/1000]\n",
      "INFO:tensorflow:Evaluation [902/1000]\n",
      "INFO:tensorflow:Evaluation [903/1000]\n",
      "INFO:tensorflow:Evaluation [904/1000]\n",
      "INFO:tensorflow:Evaluation [905/1000]\n",
      "INFO:tensorflow:Evaluation [906/1000]\n",
      "INFO:tensorflow:Evaluation [907/1000]\n",
      "INFO:tensorflow:Evaluation [908/1000]\n",
      "INFO:tensorflow:Evaluation [909/1000]\n",
      "INFO:tensorflow:Evaluation [910/1000]\n",
      "INFO:tensorflow:Evaluation [911/1000]\n",
      "INFO:tensorflow:Evaluation [912/1000]\n",
      "INFO:tensorflow:Evaluation [913/1000]\n",
      "INFO:tensorflow:Evaluation [914/1000]\n",
      "INFO:tensorflow:Evaluation [915/1000]\n",
      "INFO:tensorflow:Evaluation [916/1000]\n",
      "INFO:tensorflow:Evaluation [917/1000]\n",
      "INFO:tensorflow:Evaluation [918/1000]\n",
      "INFO:tensorflow:Evaluation [919/1000]\n",
      "INFO:tensorflow:Evaluation [920/1000]\n",
      "INFO:tensorflow:Evaluation [921/1000]\n",
      "INFO:tensorflow:Evaluation [922/1000]\n",
      "INFO:tensorflow:Evaluation [923/1000]\n",
      "INFO:tensorflow:Evaluation [924/1000]\n",
      "INFO:tensorflow:Evaluation [925/1000]\n",
      "INFO:tensorflow:Evaluation [926/1000]\n",
      "INFO:tensorflow:Evaluation [927/1000]\n",
      "INFO:tensorflow:Evaluation [928/1000]\n",
      "INFO:tensorflow:Evaluation [929/1000]\n",
      "INFO:tensorflow:Evaluation [930/1000]\n",
      "INFO:tensorflow:Evaluation [931/1000]\n",
      "INFO:tensorflow:Evaluation [932/1000]\n",
      "INFO:tensorflow:Evaluation [933/1000]\n",
      "INFO:tensorflow:Evaluation [934/1000]\n",
      "INFO:tensorflow:Evaluation [935/1000]\n",
      "INFO:tensorflow:Evaluation [936/1000]\n",
      "INFO:tensorflow:Evaluation [937/1000]\n",
      "INFO:tensorflow:Evaluation [938/1000]\n",
      "INFO:tensorflow:Evaluation [939/1000]\n",
      "INFO:tensorflow:Evaluation [940/1000]\n",
      "INFO:tensorflow:Evaluation [941/1000]\n",
      "INFO:tensorflow:Evaluation [942/1000]\n",
      "INFO:tensorflow:Evaluation [943/1000]\n",
      "INFO:tensorflow:Evaluation [944/1000]\n",
      "INFO:tensorflow:Evaluation [945/1000]\n",
      "INFO:tensorflow:Evaluation [946/1000]\n",
      "INFO:tensorflow:Evaluation [947/1000]\n",
      "INFO:tensorflow:Evaluation [948/1000]\n",
      "INFO:tensorflow:Evaluation [949/1000]\n",
      "INFO:tensorflow:Evaluation [950/1000]\n",
      "INFO:tensorflow:Evaluation [951/1000]\n",
      "INFO:tensorflow:Evaluation [952/1000]\n",
      "INFO:tensorflow:Evaluation [953/1000]\n",
      "INFO:tensorflow:Evaluation [954/1000]\n",
      "INFO:tensorflow:Evaluation [955/1000]\n",
      "INFO:tensorflow:Evaluation [956/1000]\n",
      "INFO:tensorflow:Evaluation [957/1000]\n",
      "INFO:tensorflow:Evaluation [958/1000]\n",
      "INFO:tensorflow:Evaluation [959/1000]\n",
      "INFO:tensorflow:Evaluation [960/1000]\n",
      "INFO:tensorflow:Evaluation [961/1000]\n",
      "INFO:tensorflow:Evaluation [962/1000]\n",
      "INFO:tensorflow:Evaluation [963/1000]\n",
      "INFO:tensorflow:Evaluation [964/1000]\n",
      "INFO:tensorflow:Evaluation [965/1000]\n",
      "INFO:tensorflow:Evaluation [966/1000]\n",
      "INFO:tensorflow:Evaluation [967/1000]\n",
      "INFO:tensorflow:Evaluation [968/1000]\n",
      "INFO:tensorflow:Evaluation [969/1000]\n",
      "INFO:tensorflow:Evaluation [970/1000]\n",
      "INFO:tensorflow:Evaluation [971/1000]\n",
      "INFO:tensorflow:Evaluation [972/1000]\n",
      "INFO:tensorflow:Evaluation [973/1000]\n",
      "INFO:tensorflow:Evaluation [974/1000]\n",
      "INFO:tensorflow:Evaluation [975/1000]\n",
      "INFO:tensorflow:Evaluation [976/1000]\n",
      "INFO:tensorflow:Evaluation [977/1000]\n",
      "INFO:tensorflow:Evaluation [978/1000]\n",
      "INFO:tensorflow:Evaluation [979/1000]\n",
      "INFO:tensorflow:Evaluation [980/1000]\n",
      "INFO:tensorflow:Evaluation [981/1000]\n",
      "INFO:tensorflow:Evaluation [982/1000]\n",
      "INFO:tensorflow:Evaluation [983/1000]\n",
      "INFO:tensorflow:Evaluation [984/1000]\n",
      "INFO:tensorflow:Evaluation [985/1000]\n",
      "INFO:tensorflow:Evaluation [986/1000]\n",
      "INFO:tensorflow:Evaluation [987/1000]\n",
      "INFO:tensorflow:Evaluation [988/1000]\n",
      "INFO:tensorflow:Evaluation [989/1000]\n",
      "INFO:tensorflow:Evaluation [990/1000]\n",
      "INFO:tensorflow:Evaluation [991/1000]\n",
      "INFO:tensorflow:Evaluation [992/1000]\n",
      "INFO:tensorflow:Evaluation [993/1000]\n",
      "INFO:tensorflow:Evaluation [994/1000]\n",
      "INFO:tensorflow:Evaluation [995/1000]\n",
      "INFO:tensorflow:Evaluation [996/1000]\n",
      "INFO:tensorflow:Evaluation [997/1000]\n",
      "INFO:tensorflow:Evaluation [998/1000]\n",
      "INFO:tensorflow:Evaluation [999/1000]\n",
      "INFO:tensorflow:Evaluation [1000/1000]\n",
      "INFO:tensorflow:Finished evaluation at 2017-08-29-07:31:15\n",
      "INFO:tensorflow:Saving dict for global step 1000: average_loss = 1.16846, global_step = 1000, loss = 4.67384\n"
     ]
    }
   ],
   "source": [
    "train_metrics = estimator.evaluate(input_fn=train_input_func,steps=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Starting evaluation at 2017-08-29-07:35:50\n",
      "INFO:tensorflow:Restoring parameters from C:\\Users\\Marcial\\AppData\\Local\\Temp\\tmphej5e4se\\model.ckpt-1000\n",
      "INFO:tensorflow:Evaluation [1/1000]\n",
      "INFO:tensorflow:Evaluation [2/1000]\n",
      "INFO:tensorflow:Evaluation [3/1000]\n",
      "INFO:tensorflow:Evaluation [4/1000]\n",
      "INFO:tensorflow:Evaluation [5/1000]\n",
      "INFO:tensorflow:Evaluation [6/1000]\n",
      "INFO:tensorflow:Evaluation [7/1000]\n",
      "INFO:tensorflow:Evaluation [8/1000]\n",
      "INFO:tensorflow:Evaluation [9/1000]\n",
      "INFO:tensorflow:Evaluation [10/1000]\n",
      "INFO:tensorflow:Evaluation [11/1000]\n",
      "INFO:tensorflow:Evaluation [12/1000]\n",
      "INFO:tensorflow:Evaluation [13/1000]\n",
      "INFO:tensorflow:Evaluation [14/1000]\n",
      "INFO:tensorflow:Evaluation [15/1000]\n",
      "INFO:tensorflow:Evaluation [16/1000]\n",
      "INFO:tensorflow:Evaluation [17/1000]\n",
      "INFO:tensorflow:Evaluation [18/1000]\n",
      "INFO:tensorflow:Evaluation [19/1000]\n",
      "INFO:tensorflow:Evaluation [20/1000]\n",
      "INFO:tensorflow:Evaluation [21/1000]\n",
      "INFO:tensorflow:Evaluation [22/1000]\n",
      "INFO:tensorflow:Evaluation [23/1000]\n",
      "INFO:tensorflow:Evaluation [24/1000]\n",
      "INFO:tensorflow:Evaluation [25/1000]\n",
      "INFO:tensorflow:Evaluation [26/1000]\n",
      "INFO:tensorflow:Evaluation [27/1000]\n",
      "INFO:tensorflow:Evaluation [28/1000]\n",
      "INFO:tensorflow:Evaluation [29/1000]\n",
      "INFO:tensorflow:Evaluation [30/1000]\n",
      "INFO:tensorflow:Evaluation [31/1000]\n",
      "INFO:tensorflow:Evaluation [32/1000]\n",
      "INFO:tensorflow:Evaluation [33/1000]\n",
      "INFO:tensorflow:Evaluation [34/1000]\n",
      "INFO:tensorflow:Evaluation [35/1000]\n",
      "INFO:tensorflow:Evaluation [36/1000]\n",
      "INFO:tensorflow:Evaluation [37/1000]\n",
      "INFO:tensorflow:Evaluation [38/1000]\n",
      "INFO:tensorflow:Evaluation [39/1000]\n",
      "INFO:tensorflow:Evaluation [40/1000]\n",
      "INFO:tensorflow:Evaluation [41/1000]\n",
      "INFO:tensorflow:Evaluation [42/1000]\n",
      "INFO:tensorflow:Evaluation [43/1000]\n",
      "INFO:tensorflow:Evaluation [44/1000]\n",
      "INFO:tensorflow:Evaluation [45/1000]\n",
      "INFO:tensorflow:Evaluation [46/1000]\n",
      "INFO:tensorflow:Evaluation [47/1000]\n",
      "INFO:tensorflow:Evaluation [48/1000]\n",
      "INFO:tensorflow:Evaluation [49/1000]\n",
      "INFO:tensorflow:Evaluation [50/1000]\n",
      "INFO:tensorflow:Evaluation [51/1000]\n",
      "INFO:tensorflow:Evaluation [52/1000]\n",
      "INFO:tensorflow:Evaluation [53/1000]\n",
      "INFO:tensorflow:Evaluation [54/1000]\n",
      "INFO:tensorflow:Evaluation [55/1000]\n",
      "INFO:tensorflow:Evaluation [56/1000]\n",
      "INFO:tensorflow:Evaluation [57/1000]\n",
      "INFO:tensorflow:Evaluation [58/1000]\n",
      "INFO:tensorflow:Evaluation [59/1000]\n",
      "INFO:tensorflow:Evaluation [60/1000]\n",
      "INFO:tensorflow:Evaluation [61/1000]\n",
      "INFO:tensorflow:Evaluation [62/1000]\n",
      "INFO:tensorflow:Evaluation [63/1000]\n",
      "INFO:tensorflow:Evaluation [64/1000]\n",
      "INFO:tensorflow:Evaluation [65/1000]\n",
      "INFO:tensorflow:Evaluation [66/1000]\n",
      "INFO:tensorflow:Evaluation [67/1000]\n",
      "INFO:tensorflow:Evaluation [68/1000]\n",
      "INFO:tensorflow:Evaluation [69/1000]\n",
      "INFO:tensorflow:Evaluation [70/1000]\n",
      "INFO:tensorflow:Evaluation [71/1000]\n",
      "INFO:tensorflow:Evaluation [72/1000]\n",
      "INFO:tensorflow:Evaluation [73/1000]\n",
      "INFO:tensorflow:Evaluation [74/1000]\n",
      "INFO:tensorflow:Evaluation [75/1000]\n",
      "INFO:tensorflow:Evaluation [76/1000]\n",
      "INFO:tensorflow:Evaluation [77/1000]\n",
      "INFO:tensorflow:Evaluation [78/1000]\n",
      "INFO:tensorflow:Evaluation [79/1000]\n",
      "INFO:tensorflow:Evaluation [80/1000]\n",
      "INFO:tensorflow:Evaluation [81/1000]\n",
      "INFO:tensorflow:Evaluation [82/1000]\n",
      "INFO:tensorflow:Evaluation [83/1000]\n",
      "INFO:tensorflow:Evaluation [84/1000]\n",
      "INFO:tensorflow:Evaluation [85/1000]\n",
      "INFO:tensorflow:Evaluation [86/1000]\n",
      "INFO:tensorflow:Evaluation [87/1000]\n",
      "INFO:tensorflow:Evaluation [88/1000]\n",
      "INFO:tensorflow:Evaluation [89/1000]\n",
      "INFO:tensorflow:Evaluation [90/1000]\n",
      "INFO:tensorflow:Evaluation [91/1000]\n",
      "INFO:tensorflow:Evaluation [92/1000]\n",
      "INFO:tensorflow:Evaluation [93/1000]\n",
      "INFO:tensorflow:Evaluation [94/1000]\n",
      "INFO:tensorflow:Evaluation [95/1000]\n",
      "INFO:tensorflow:Evaluation [96/1000]\n",
      "INFO:tensorflow:Evaluation [97/1000]\n",
      "INFO:tensorflow:Evaluation [98/1000]\n",
      "INFO:tensorflow:Evaluation [99/1000]\n",
      "INFO:tensorflow:Evaluation [100/1000]\n",
      "INFO:tensorflow:Evaluation [101/1000]\n",
      "INFO:tensorflow:Evaluation [102/1000]\n",
      "INFO:tensorflow:Evaluation [103/1000]\n",
      "INFO:tensorflow:Evaluation [104/1000]\n",
      "INFO:tensorflow:Evaluation [105/1000]\n",
      "INFO:tensorflow:Evaluation [106/1000]\n",
      "INFO:tensorflow:Evaluation [107/1000]\n",
      "INFO:tensorflow:Evaluation [108/1000]\n",
      "INFO:tensorflow:Evaluation [109/1000]\n",
      "INFO:tensorflow:Evaluation [110/1000]\n",
      "INFO:tensorflow:Evaluation [111/1000]\n",
      "INFO:tensorflow:Evaluation [112/1000]\n",
      "INFO:tensorflow:Evaluation [113/1000]\n",
      "INFO:tensorflow:Evaluation [114/1000]\n",
      "INFO:tensorflow:Evaluation [115/1000]\n",
      "INFO:tensorflow:Evaluation [116/1000]\n",
      "INFO:tensorflow:Evaluation [117/1000]\n",
      "INFO:tensorflow:Evaluation [118/1000]\n",
      "INFO:tensorflow:Evaluation [119/1000]\n",
      "INFO:tensorflow:Evaluation [120/1000]\n",
      "INFO:tensorflow:Evaluation [121/1000]\n",
      "INFO:tensorflow:Evaluation [122/1000]\n",
      "INFO:tensorflow:Evaluation [123/1000]\n",
      "INFO:tensorflow:Evaluation [124/1000]\n",
      "INFO:tensorflow:Evaluation [125/1000]\n",
      "INFO:tensorflow:Evaluation [126/1000]\n",
      "INFO:tensorflow:Evaluation [127/1000]\n",
      "INFO:tensorflow:Evaluation [128/1000]\n",
      "INFO:tensorflow:Evaluation [129/1000]\n",
      "INFO:tensorflow:Evaluation [130/1000]\n",
      "INFO:tensorflow:Evaluation [131/1000]\n",
      "INFO:tensorflow:Evaluation [132/1000]\n",
      "INFO:tensorflow:Evaluation [133/1000]\n",
      "INFO:tensorflow:Evaluation [134/1000]\n",
      "INFO:tensorflow:Evaluation [135/1000]\n",
      "INFO:tensorflow:Evaluation [136/1000]\n",
      "INFO:tensorflow:Evaluation [137/1000]\n",
      "INFO:tensorflow:Evaluation [138/1000]\n",
      "INFO:tensorflow:Evaluation [139/1000]\n",
      "INFO:tensorflow:Evaluation [140/1000]\n",
      "INFO:tensorflow:Evaluation [141/1000]\n",
      "INFO:tensorflow:Evaluation [142/1000]\n",
      "INFO:tensorflow:Evaluation [143/1000]\n",
      "INFO:tensorflow:Evaluation [144/1000]\n",
      "INFO:tensorflow:Evaluation [145/1000]\n",
      "INFO:tensorflow:Evaluation [146/1000]\n",
      "INFO:tensorflow:Evaluation [147/1000]\n",
      "INFO:tensorflow:Evaluation [148/1000]\n",
      "INFO:tensorflow:Evaluation [149/1000]\n",
      "INFO:tensorflow:Evaluation [150/1000]\n",
      "INFO:tensorflow:Evaluation [151/1000]\n",
      "INFO:tensorflow:Evaluation [152/1000]\n",
      "INFO:tensorflow:Evaluation [153/1000]\n",
      "INFO:tensorflow:Evaluation [154/1000]\n",
      "INFO:tensorflow:Evaluation [155/1000]\n",
      "INFO:tensorflow:Evaluation [156/1000]\n",
      "INFO:tensorflow:Evaluation [157/1000]\n",
      "INFO:tensorflow:Evaluation [158/1000]\n",
      "INFO:tensorflow:Evaluation [159/1000]\n",
      "INFO:tensorflow:Evaluation [160/1000]\n",
      "INFO:tensorflow:Evaluation [161/1000]\n",
      "INFO:tensorflow:Evaluation [162/1000]\n",
      "INFO:tensorflow:Evaluation [163/1000]\n",
      "INFO:tensorflow:Evaluation [164/1000]\n",
      "INFO:tensorflow:Evaluation [165/1000]\n",
      "INFO:tensorflow:Evaluation [166/1000]\n",
      "INFO:tensorflow:Evaluation [167/1000]\n",
      "INFO:tensorflow:Evaluation [168/1000]\n",
      "INFO:tensorflow:Evaluation [169/1000]\n",
      "INFO:tensorflow:Evaluation [170/1000]\n",
      "INFO:tensorflow:Evaluation [171/1000]\n",
      "INFO:tensorflow:Evaluation [172/1000]\n",
      "INFO:tensorflow:Evaluation [173/1000]\n",
      "INFO:tensorflow:Evaluation [174/1000]\n",
      "INFO:tensorflow:Evaluation [175/1000]\n",
      "INFO:tensorflow:Evaluation [176/1000]\n",
      "INFO:tensorflow:Evaluation [177/1000]\n",
      "INFO:tensorflow:Evaluation [178/1000]\n",
      "INFO:tensorflow:Evaluation [179/1000]\n",
      "INFO:tensorflow:Evaluation [180/1000]\n",
      "INFO:tensorflow:Evaluation [181/1000]\n",
      "INFO:tensorflow:Evaluation [182/1000]\n",
      "INFO:tensorflow:Evaluation [183/1000]\n",
      "INFO:tensorflow:Evaluation [184/1000]\n",
      "INFO:tensorflow:Evaluation [185/1000]\n",
      "INFO:tensorflow:Evaluation [186/1000]\n",
      "INFO:tensorflow:Evaluation [187/1000]\n",
      "INFO:tensorflow:Evaluation [188/1000]\n",
      "INFO:tensorflow:Evaluation [189/1000]\n",
      "INFO:tensorflow:Evaluation [190/1000]\n",
      "INFO:tensorflow:Evaluation [191/1000]\n",
      "INFO:tensorflow:Evaluation [192/1000]\n",
      "INFO:tensorflow:Evaluation [193/1000]\n",
      "INFO:tensorflow:Evaluation [194/1000]\n",
      "INFO:tensorflow:Evaluation [195/1000]\n",
      "INFO:tensorflow:Evaluation [196/1000]\n",
      "INFO:tensorflow:Evaluation [197/1000]\n",
      "INFO:tensorflow:Evaluation [198/1000]\n",
      "INFO:tensorflow:Evaluation [199/1000]\n",
      "INFO:tensorflow:Evaluation [200/1000]\n",
      "INFO:tensorflow:Evaluation [201/1000]\n",
      "INFO:tensorflow:Evaluation [202/1000]\n",
      "INFO:tensorflow:Evaluation [203/1000]\n",
      "INFO:tensorflow:Evaluation [204/1000]\n",
      "INFO:tensorflow:Evaluation [205/1000]\n",
      "INFO:tensorflow:Evaluation [206/1000]\n",
      "INFO:tensorflow:Evaluation [207/1000]\n",
      "INFO:tensorflow:Evaluation [208/1000]\n",
      "INFO:tensorflow:Evaluation [209/1000]\n",
      "INFO:tensorflow:Evaluation [210/1000]\n",
      "INFO:tensorflow:Evaluation [211/1000]\n",
      "INFO:tensorflow:Evaluation [212/1000]\n",
      "INFO:tensorflow:Evaluation [213/1000]\n",
      "INFO:tensorflow:Evaluation [214/1000]\n",
      "INFO:tensorflow:Evaluation [215/1000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Evaluation [216/1000]\n",
      "INFO:tensorflow:Evaluation [217/1000]\n",
      "INFO:tensorflow:Evaluation [218/1000]\n",
      "INFO:tensorflow:Evaluation [219/1000]\n",
      "INFO:tensorflow:Evaluation [220/1000]\n",
      "INFO:tensorflow:Evaluation [221/1000]\n",
      "INFO:tensorflow:Evaluation [222/1000]\n",
      "INFO:tensorflow:Evaluation [223/1000]\n",
      "INFO:tensorflow:Evaluation [224/1000]\n",
      "INFO:tensorflow:Evaluation [225/1000]\n",
      "INFO:tensorflow:Evaluation [226/1000]\n",
      "INFO:tensorflow:Evaluation [227/1000]\n",
      "INFO:tensorflow:Evaluation [228/1000]\n",
      "INFO:tensorflow:Evaluation [229/1000]\n",
      "INFO:tensorflow:Evaluation [230/1000]\n",
      "INFO:tensorflow:Evaluation [231/1000]\n",
      "INFO:tensorflow:Evaluation [232/1000]\n",
      "INFO:tensorflow:Evaluation [233/1000]\n",
      "INFO:tensorflow:Evaluation [234/1000]\n",
      "INFO:tensorflow:Evaluation [235/1000]\n",
      "INFO:tensorflow:Evaluation [236/1000]\n",
      "INFO:tensorflow:Evaluation [237/1000]\n",
      "INFO:tensorflow:Evaluation [238/1000]\n",
      "INFO:tensorflow:Evaluation [239/1000]\n",
      "INFO:tensorflow:Evaluation [240/1000]\n",
      "INFO:tensorflow:Evaluation [241/1000]\n",
      "INFO:tensorflow:Evaluation [242/1000]\n",
      "INFO:tensorflow:Evaluation [243/1000]\n",
      "INFO:tensorflow:Evaluation [244/1000]\n",
      "INFO:tensorflow:Evaluation [245/1000]\n",
      "INFO:tensorflow:Evaluation [246/1000]\n",
      "INFO:tensorflow:Evaluation [247/1000]\n",
      "INFO:tensorflow:Evaluation [248/1000]\n",
      "INFO:tensorflow:Evaluation [249/1000]\n",
      "INFO:tensorflow:Evaluation [250/1000]\n",
      "INFO:tensorflow:Evaluation [251/1000]\n",
      "INFO:tensorflow:Evaluation [252/1000]\n",
      "INFO:tensorflow:Evaluation [253/1000]\n",
      "INFO:tensorflow:Evaluation [254/1000]\n",
      "INFO:tensorflow:Evaluation [255/1000]\n",
      "INFO:tensorflow:Evaluation [256/1000]\n",
      "INFO:tensorflow:Evaluation [257/1000]\n",
      "INFO:tensorflow:Evaluation [258/1000]\n",
      "INFO:tensorflow:Evaluation [259/1000]\n",
      "INFO:tensorflow:Evaluation [260/1000]\n",
      "INFO:tensorflow:Evaluation [261/1000]\n",
      "INFO:tensorflow:Evaluation [262/1000]\n",
      "INFO:tensorflow:Evaluation [263/1000]\n",
      "INFO:tensorflow:Evaluation [264/1000]\n",
      "INFO:tensorflow:Evaluation [265/1000]\n",
      "INFO:tensorflow:Evaluation [266/1000]\n",
      "INFO:tensorflow:Evaluation [267/1000]\n",
      "INFO:tensorflow:Evaluation [268/1000]\n",
      "INFO:tensorflow:Evaluation [269/1000]\n",
      "INFO:tensorflow:Evaluation [270/1000]\n",
      "INFO:tensorflow:Evaluation [271/1000]\n",
      "INFO:tensorflow:Evaluation [272/1000]\n",
      "INFO:tensorflow:Evaluation [273/1000]\n",
      "INFO:tensorflow:Evaluation [274/1000]\n",
      "INFO:tensorflow:Evaluation [275/1000]\n",
      "INFO:tensorflow:Evaluation [276/1000]\n",
      "INFO:tensorflow:Evaluation [277/1000]\n",
      "INFO:tensorflow:Evaluation [278/1000]\n",
      "INFO:tensorflow:Evaluation [279/1000]\n",
      "INFO:tensorflow:Evaluation [280/1000]\n",
      "INFO:tensorflow:Evaluation [281/1000]\n",
      "INFO:tensorflow:Evaluation [282/1000]\n",
      "INFO:tensorflow:Evaluation [283/1000]\n",
      "INFO:tensorflow:Evaluation [284/1000]\n",
      "INFO:tensorflow:Evaluation [285/1000]\n",
      "INFO:tensorflow:Evaluation [286/1000]\n",
      "INFO:tensorflow:Evaluation [287/1000]\n",
      "INFO:tensorflow:Evaluation [288/1000]\n",
      "INFO:tensorflow:Evaluation [289/1000]\n",
      "INFO:tensorflow:Evaluation [290/1000]\n",
      "INFO:tensorflow:Evaluation [291/1000]\n",
      "INFO:tensorflow:Evaluation [292/1000]\n",
      "INFO:tensorflow:Evaluation [293/1000]\n",
      "INFO:tensorflow:Evaluation [294/1000]\n",
      "INFO:tensorflow:Evaluation [295/1000]\n",
      "INFO:tensorflow:Evaluation [296/1000]\n",
      "INFO:tensorflow:Evaluation [297/1000]\n",
      "INFO:tensorflow:Evaluation [298/1000]\n",
      "INFO:tensorflow:Evaluation [299/1000]\n",
      "INFO:tensorflow:Evaluation [300/1000]\n",
      "INFO:tensorflow:Evaluation [301/1000]\n",
      "INFO:tensorflow:Evaluation [302/1000]\n",
      "INFO:tensorflow:Evaluation [303/1000]\n",
      "INFO:tensorflow:Evaluation [304/1000]\n",
      "INFO:tensorflow:Evaluation [305/1000]\n",
      "INFO:tensorflow:Evaluation [306/1000]\n",
      "INFO:tensorflow:Evaluation [307/1000]\n",
      "INFO:tensorflow:Evaluation [308/1000]\n",
      "INFO:tensorflow:Evaluation [309/1000]\n",
      "INFO:tensorflow:Evaluation [310/1000]\n",
      "INFO:tensorflow:Evaluation [311/1000]\n",
      "INFO:tensorflow:Evaluation [312/1000]\n",
      "INFO:tensorflow:Evaluation [313/1000]\n",
      "INFO:tensorflow:Evaluation [314/1000]\n",
      "INFO:tensorflow:Evaluation [315/1000]\n",
      "INFO:tensorflow:Evaluation [316/1000]\n",
      "INFO:tensorflow:Evaluation [317/1000]\n",
      "INFO:tensorflow:Evaluation [318/1000]\n",
      "INFO:tensorflow:Evaluation [319/1000]\n",
      "INFO:tensorflow:Evaluation [320/1000]\n",
      "INFO:tensorflow:Evaluation [321/1000]\n",
      "INFO:tensorflow:Evaluation [322/1000]\n",
      "INFO:tensorflow:Evaluation [323/1000]\n",
      "INFO:tensorflow:Evaluation [324/1000]\n",
      "INFO:tensorflow:Evaluation [325/1000]\n",
      "INFO:tensorflow:Evaluation [326/1000]\n",
      "INFO:tensorflow:Evaluation [327/1000]\n",
      "INFO:tensorflow:Evaluation [328/1000]\n",
      "INFO:tensorflow:Evaluation [329/1000]\n",
      "INFO:tensorflow:Evaluation [330/1000]\n",
      "INFO:tensorflow:Evaluation [331/1000]\n",
      "INFO:tensorflow:Evaluation [332/1000]\n",
      "INFO:tensorflow:Evaluation [333/1000]\n",
      "INFO:tensorflow:Evaluation [334/1000]\n",
      "INFO:tensorflow:Evaluation [335/1000]\n",
      "INFO:tensorflow:Evaluation [336/1000]\n",
      "INFO:tensorflow:Evaluation [337/1000]\n",
      "INFO:tensorflow:Evaluation [338/1000]\n",
      "INFO:tensorflow:Evaluation [339/1000]\n",
      "INFO:tensorflow:Evaluation [340/1000]\n",
      "INFO:tensorflow:Evaluation [341/1000]\n",
      "INFO:tensorflow:Evaluation [342/1000]\n",
      "INFO:tensorflow:Evaluation [343/1000]\n",
      "INFO:tensorflow:Evaluation [344/1000]\n",
      "INFO:tensorflow:Evaluation [345/1000]\n",
      "INFO:tensorflow:Evaluation [346/1000]\n",
      "INFO:tensorflow:Evaluation [347/1000]\n",
      "INFO:tensorflow:Evaluation [348/1000]\n",
      "INFO:tensorflow:Evaluation [349/1000]\n",
      "INFO:tensorflow:Evaluation [350/1000]\n",
      "INFO:tensorflow:Evaluation [351/1000]\n",
      "INFO:tensorflow:Evaluation [352/1000]\n",
      "INFO:tensorflow:Evaluation [353/1000]\n",
      "INFO:tensorflow:Evaluation [354/1000]\n",
      "INFO:tensorflow:Evaluation [355/1000]\n",
      "INFO:tensorflow:Evaluation [356/1000]\n",
      "INFO:tensorflow:Evaluation [357/1000]\n",
      "INFO:tensorflow:Evaluation [358/1000]\n",
      "INFO:tensorflow:Evaluation [359/1000]\n",
      "INFO:tensorflow:Evaluation [360/1000]\n",
      "INFO:tensorflow:Evaluation [361/1000]\n",
      "INFO:tensorflow:Evaluation [362/1000]\n",
      "INFO:tensorflow:Evaluation [363/1000]\n",
      "INFO:tensorflow:Evaluation [364/1000]\n",
      "INFO:tensorflow:Evaluation [365/1000]\n",
      "INFO:tensorflow:Evaluation [366/1000]\n",
      "INFO:tensorflow:Evaluation [367/1000]\n",
      "INFO:tensorflow:Evaluation [368/1000]\n",
      "INFO:tensorflow:Evaluation [369/1000]\n",
      "INFO:tensorflow:Evaluation [370/1000]\n",
      "INFO:tensorflow:Evaluation [371/1000]\n",
      "INFO:tensorflow:Evaluation [372/1000]\n",
      "INFO:tensorflow:Evaluation [373/1000]\n",
      "INFO:tensorflow:Evaluation [374/1000]\n",
      "INFO:tensorflow:Evaluation [375/1000]\n",
      "INFO:tensorflow:Evaluation [376/1000]\n",
      "INFO:tensorflow:Evaluation [377/1000]\n",
      "INFO:tensorflow:Evaluation [378/1000]\n",
      "INFO:tensorflow:Evaluation [379/1000]\n",
      "INFO:tensorflow:Evaluation [380/1000]\n",
      "INFO:tensorflow:Evaluation [381/1000]\n",
      "INFO:tensorflow:Evaluation [382/1000]\n",
      "INFO:tensorflow:Evaluation [383/1000]\n",
      "INFO:tensorflow:Evaluation [384/1000]\n",
      "INFO:tensorflow:Evaluation [385/1000]\n",
      "INFO:tensorflow:Evaluation [386/1000]\n",
      "INFO:tensorflow:Evaluation [387/1000]\n",
      "INFO:tensorflow:Evaluation [388/1000]\n",
      "INFO:tensorflow:Evaluation [389/1000]\n",
      "INFO:tensorflow:Evaluation [390/1000]\n",
      "INFO:tensorflow:Evaluation [391/1000]\n",
      "INFO:tensorflow:Evaluation [392/1000]\n",
      "INFO:tensorflow:Evaluation [393/1000]\n",
      "INFO:tensorflow:Evaluation [394/1000]\n",
      "INFO:tensorflow:Evaluation [395/1000]\n",
      "INFO:tensorflow:Evaluation [396/1000]\n",
      "INFO:tensorflow:Evaluation [397/1000]\n",
      "INFO:tensorflow:Evaluation [398/1000]\n",
      "INFO:tensorflow:Evaluation [399/1000]\n",
      "INFO:tensorflow:Evaluation [400/1000]\n",
      "INFO:tensorflow:Evaluation [401/1000]\n",
      "INFO:tensorflow:Evaluation [402/1000]\n",
      "INFO:tensorflow:Evaluation [403/1000]\n",
      "INFO:tensorflow:Evaluation [404/1000]\n",
      "INFO:tensorflow:Evaluation [405/1000]\n",
      "INFO:tensorflow:Evaluation [406/1000]\n",
      "INFO:tensorflow:Evaluation [407/1000]\n",
      "INFO:tensorflow:Evaluation [408/1000]\n",
      "INFO:tensorflow:Evaluation [409/1000]\n",
      "INFO:tensorflow:Evaluation [410/1000]\n",
      "INFO:tensorflow:Evaluation [411/1000]\n",
      "INFO:tensorflow:Evaluation [412/1000]\n",
      "INFO:tensorflow:Evaluation [413/1000]\n",
      "INFO:tensorflow:Evaluation [414/1000]\n",
      "INFO:tensorflow:Evaluation [415/1000]\n",
      "INFO:tensorflow:Evaluation [416/1000]\n",
      "INFO:tensorflow:Evaluation [417/1000]\n",
      "INFO:tensorflow:Evaluation [418/1000]\n",
      "INFO:tensorflow:Evaluation [419/1000]\n",
      "INFO:tensorflow:Evaluation [420/1000]\n",
      "INFO:tensorflow:Evaluation [421/1000]\n",
      "INFO:tensorflow:Evaluation [422/1000]\n",
      "INFO:tensorflow:Evaluation [423/1000]\n",
      "INFO:tensorflow:Evaluation [424/1000]\n",
      "INFO:tensorflow:Evaluation [425/1000]\n",
      "INFO:tensorflow:Evaluation [426/1000]\n",
      "INFO:tensorflow:Evaluation [427/1000]\n",
      "INFO:tensorflow:Evaluation [428/1000]\n",
      "INFO:tensorflow:Evaluation [429/1000]\n",
      "INFO:tensorflow:Evaluation [430/1000]\n",
      "INFO:tensorflow:Evaluation [431/1000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Evaluation [432/1000]\n",
      "INFO:tensorflow:Evaluation [433/1000]\n",
      "INFO:tensorflow:Evaluation [434/1000]\n",
      "INFO:tensorflow:Evaluation [435/1000]\n",
      "INFO:tensorflow:Evaluation [436/1000]\n",
      "INFO:tensorflow:Evaluation [437/1000]\n",
      "INFO:tensorflow:Evaluation [438/1000]\n",
      "INFO:tensorflow:Evaluation [439/1000]\n",
      "INFO:tensorflow:Evaluation [440/1000]\n",
      "INFO:tensorflow:Evaluation [441/1000]\n",
      "INFO:tensorflow:Evaluation [442/1000]\n",
      "INFO:tensorflow:Evaluation [443/1000]\n",
      "INFO:tensorflow:Evaluation [444/1000]\n",
      "INFO:tensorflow:Evaluation [445/1000]\n",
      "INFO:tensorflow:Evaluation [446/1000]\n",
      "INFO:tensorflow:Evaluation [447/1000]\n",
      "INFO:tensorflow:Evaluation [448/1000]\n",
      "INFO:tensorflow:Evaluation [449/1000]\n",
      "INFO:tensorflow:Evaluation [450/1000]\n",
      "INFO:tensorflow:Evaluation [451/1000]\n",
      "INFO:tensorflow:Evaluation [452/1000]\n",
      "INFO:tensorflow:Evaluation [453/1000]\n",
      "INFO:tensorflow:Evaluation [454/1000]\n",
      "INFO:tensorflow:Evaluation [455/1000]\n",
      "INFO:tensorflow:Evaluation [456/1000]\n",
      "INFO:tensorflow:Evaluation [457/1000]\n",
      "INFO:tensorflow:Evaluation [458/1000]\n",
      "INFO:tensorflow:Evaluation [459/1000]\n",
      "INFO:tensorflow:Evaluation [460/1000]\n",
      "INFO:tensorflow:Evaluation [461/1000]\n",
      "INFO:tensorflow:Evaluation [462/1000]\n",
      "INFO:tensorflow:Evaluation [463/1000]\n",
      "INFO:tensorflow:Evaluation [464/1000]\n",
      "INFO:tensorflow:Evaluation [465/1000]\n",
      "INFO:tensorflow:Evaluation [466/1000]\n",
      "INFO:tensorflow:Evaluation [467/1000]\n",
      "INFO:tensorflow:Evaluation [468/1000]\n",
      "INFO:tensorflow:Evaluation [469/1000]\n",
      "INFO:tensorflow:Evaluation [470/1000]\n",
      "INFO:tensorflow:Evaluation [471/1000]\n",
      "INFO:tensorflow:Evaluation [472/1000]\n",
      "INFO:tensorflow:Evaluation [473/1000]\n",
      "INFO:tensorflow:Evaluation [474/1000]\n",
      "INFO:tensorflow:Evaluation [475/1000]\n",
      "INFO:tensorflow:Evaluation [476/1000]\n",
      "INFO:tensorflow:Evaluation [477/1000]\n",
      "INFO:tensorflow:Evaluation [478/1000]\n",
      "INFO:tensorflow:Evaluation [479/1000]\n",
      "INFO:tensorflow:Evaluation [480/1000]\n",
      "INFO:tensorflow:Evaluation [481/1000]\n",
      "INFO:tensorflow:Evaluation [482/1000]\n",
      "INFO:tensorflow:Evaluation [483/1000]\n",
      "INFO:tensorflow:Evaluation [484/1000]\n",
      "INFO:tensorflow:Evaluation [485/1000]\n",
      "INFO:tensorflow:Evaluation [486/1000]\n",
      "INFO:tensorflow:Evaluation [487/1000]\n",
      "INFO:tensorflow:Evaluation [488/1000]\n",
      "INFO:tensorflow:Evaluation [489/1000]\n",
      "INFO:tensorflow:Evaluation [490/1000]\n",
      "INFO:tensorflow:Evaluation [491/1000]\n",
      "INFO:tensorflow:Evaluation [492/1000]\n",
      "INFO:tensorflow:Evaluation [493/1000]\n",
      "INFO:tensorflow:Evaluation [494/1000]\n",
      "INFO:tensorflow:Evaluation [495/1000]\n",
      "INFO:tensorflow:Evaluation [496/1000]\n",
      "INFO:tensorflow:Evaluation [497/1000]\n",
      "INFO:tensorflow:Evaluation [498/1000]\n",
      "INFO:tensorflow:Evaluation [499/1000]\n",
      "INFO:tensorflow:Evaluation [500/1000]\n",
      "INFO:tensorflow:Evaluation [501/1000]\n",
      "INFO:tensorflow:Evaluation [502/1000]\n",
      "INFO:tensorflow:Evaluation [503/1000]\n",
      "INFO:tensorflow:Evaluation [504/1000]\n",
      "INFO:tensorflow:Evaluation [505/1000]\n",
      "INFO:tensorflow:Evaluation [506/1000]\n",
      "INFO:tensorflow:Evaluation [507/1000]\n",
      "INFO:tensorflow:Evaluation [508/1000]\n",
      "INFO:tensorflow:Evaluation [509/1000]\n",
      "INFO:tensorflow:Evaluation [510/1000]\n",
      "INFO:tensorflow:Evaluation [511/1000]\n",
      "INFO:tensorflow:Evaluation [512/1000]\n",
      "INFO:tensorflow:Evaluation [513/1000]\n",
      "INFO:tensorflow:Evaluation [514/1000]\n",
      "INFO:tensorflow:Evaluation [515/1000]\n",
      "INFO:tensorflow:Evaluation [516/1000]\n",
      "INFO:tensorflow:Evaluation [517/1000]\n",
      "INFO:tensorflow:Evaluation [518/1000]\n",
      "INFO:tensorflow:Evaluation [519/1000]\n",
      "INFO:tensorflow:Evaluation [520/1000]\n",
      "INFO:tensorflow:Evaluation [521/1000]\n",
      "INFO:tensorflow:Evaluation [522/1000]\n",
      "INFO:tensorflow:Evaluation [523/1000]\n",
      "INFO:tensorflow:Evaluation [524/1000]\n",
      "INFO:tensorflow:Evaluation [525/1000]\n",
      "INFO:tensorflow:Evaluation [526/1000]\n",
      "INFO:tensorflow:Evaluation [527/1000]\n",
      "INFO:tensorflow:Evaluation [528/1000]\n",
      "INFO:tensorflow:Evaluation [529/1000]\n",
      "INFO:tensorflow:Evaluation [530/1000]\n",
      "INFO:tensorflow:Evaluation [531/1000]\n",
      "INFO:tensorflow:Evaluation [532/1000]\n",
      "INFO:tensorflow:Evaluation [533/1000]\n",
      "INFO:tensorflow:Evaluation [534/1000]\n",
      "INFO:tensorflow:Evaluation [535/1000]\n",
      "INFO:tensorflow:Evaluation [536/1000]\n",
      "INFO:tensorflow:Evaluation [537/1000]\n",
      "INFO:tensorflow:Evaluation [538/1000]\n",
      "INFO:tensorflow:Evaluation [539/1000]\n",
      "INFO:tensorflow:Evaluation [540/1000]\n",
      "INFO:tensorflow:Evaluation [541/1000]\n",
      "INFO:tensorflow:Evaluation [542/1000]\n",
      "INFO:tensorflow:Evaluation [543/1000]\n",
      "INFO:tensorflow:Evaluation [544/1000]\n",
      "INFO:tensorflow:Evaluation [545/1000]\n",
      "INFO:tensorflow:Evaluation [546/1000]\n",
      "INFO:tensorflow:Evaluation [547/1000]\n",
      "INFO:tensorflow:Evaluation [548/1000]\n",
      "INFO:tensorflow:Evaluation [549/1000]\n",
      "INFO:tensorflow:Evaluation [550/1000]\n",
      "INFO:tensorflow:Evaluation [551/1000]\n",
      "INFO:tensorflow:Evaluation [552/1000]\n",
      "INFO:tensorflow:Evaluation [553/1000]\n",
      "INFO:tensorflow:Evaluation [554/1000]\n",
      "INFO:tensorflow:Evaluation [555/1000]\n",
      "INFO:tensorflow:Evaluation [556/1000]\n",
      "INFO:tensorflow:Evaluation [557/1000]\n",
      "INFO:tensorflow:Evaluation [558/1000]\n",
      "INFO:tensorflow:Evaluation [559/1000]\n",
      "INFO:tensorflow:Evaluation [560/1000]\n",
      "INFO:tensorflow:Evaluation [561/1000]\n",
      "INFO:tensorflow:Evaluation [562/1000]\n",
      "INFO:tensorflow:Evaluation [563/1000]\n",
      "INFO:tensorflow:Evaluation [564/1000]\n",
      "INFO:tensorflow:Evaluation [565/1000]\n",
      "INFO:tensorflow:Evaluation [566/1000]\n",
      "INFO:tensorflow:Evaluation [567/1000]\n",
      "INFO:tensorflow:Evaluation [568/1000]\n",
      "INFO:tensorflow:Evaluation [569/1000]\n",
      "INFO:tensorflow:Evaluation [570/1000]\n",
      "INFO:tensorflow:Evaluation [571/1000]\n",
      "INFO:tensorflow:Evaluation [572/1000]\n",
      "INFO:tensorflow:Evaluation [573/1000]\n",
      "INFO:tensorflow:Evaluation [574/1000]\n",
      "INFO:tensorflow:Evaluation [575/1000]\n",
      "INFO:tensorflow:Evaluation [576/1000]\n",
      "INFO:tensorflow:Evaluation [577/1000]\n",
      "INFO:tensorflow:Evaluation [578/1000]\n",
      "INFO:tensorflow:Evaluation [579/1000]\n",
      "INFO:tensorflow:Evaluation [580/1000]\n",
      "INFO:tensorflow:Evaluation [581/1000]\n",
      "INFO:tensorflow:Evaluation [582/1000]\n",
      "INFO:tensorflow:Evaluation [583/1000]\n",
      "INFO:tensorflow:Evaluation [584/1000]\n",
      "INFO:tensorflow:Evaluation [585/1000]\n",
      "INFO:tensorflow:Evaluation [586/1000]\n",
      "INFO:tensorflow:Evaluation [587/1000]\n",
      "INFO:tensorflow:Evaluation [588/1000]\n",
      "INFO:tensorflow:Evaluation [589/1000]\n",
      "INFO:tensorflow:Evaluation [590/1000]\n",
      "INFO:tensorflow:Evaluation [591/1000]\n",
      "INFO:tensorflow:Evaluation [592/1000]\n",
      "INFO:tensorflow:Evaluation [593/1000]\n",
      "INFO:tensorflow:Evaluation [594/1000]\n",
      "INFO:tensorflow:Evaluation [595/1000]\n",
      "INFO:tensorflow:Evaluation [596/1000]\n",
      "INFO:tensorflow:Evaluation [597/1000]\n",
      "INFO:tensorflow:Evaluation [598/1000]\n",
      "INFO:tensorflow:Evaluation [599/1000]\n",
      "INFO:tensorflow:Evaluation [600/1000]\n",
      "INFO:tensorflow:Evaluation [601/1000]\n",
      "INFO:tensorflow:Evaluation [602/1000]\n",
      "INFO:tensorflow:Evaluation [603/1000]\n",
      "INFO:tensorflow:Evaluation [604/1000]\n",
      "INFO:tensorflow:Evaluation [605/1000]\n",
      "INFO:tensorflow:Evaluation [606/1000]\n",
      "INFO:tensorflow:Evaluation [607/1000]\n",
      "INFO:tensorflow:Evaluation [608/1000]\n",
      "INFO:tensorflow:Evaluation [609/1000]\n",
      "INFO:tensorflow:Evaluation [610/1000]\n",
      "INFO:tensorflow:Evaluation [611/1000]\n",
      "INFO:tensorflow:Evaluation [612/1000]\n",
      "INFO:tensorflow:Evaluation [613/1000]\n",
      "INFO:tensorflow:Evaluation [614/1000]\n",
      "INFO:tensorflow:Evaluation [615/1000]\n",
      "INFO:tensorflow:Evaluation [616/1000]\n",
      "INFO:tensorflow:Evaluation [617/1000]\n",
      "INFO:tensorflow:Evaluation [618/1000]\n",
      "INFO:tensorflow:Evaluation [619/1000]\n",
      "INFO:tensorflow:Evaluation [620/1000]\n",
      "INFO:tensorflow:Evaluation [621/1000]\n",
      "INFO:tensorflow:Evaluation [622/1000]\n",
      "INFO:tensorflow:Evaluation [623/1000]\n",
      "INFO:tensorflow:Evaluation [624/1000]\n",
      "INFO:tensorflow:Evaluation [625/1000]\n",
      "INFO:tensorflow:Evaluation [626/1000]\n",
      "INFO:tensorflow:Evaluation [627/1000]\n",
      "INFO:tensorflow:Evaluation [628/1000]\n",
      "INFO:tensorflow:Evaluation [629/1000]\n",
      "INFO:tensorflow:Evaluation [630/1000]\n",
      "INFO:tensorflow:Evaluation [631/1000]\n",
      "INFO:tensorflow:Evaluation [632/1000]\n",
      "INFO:tensorflow:Evaluation [633/1000]\n",
      "INFO:tensorflow:Evaluation [634/1000]\n",
      "INFO:tensorflow:Evaluation [635/1000]\n",
      "INFO:tensorflow:Evaluation [636/1000]\n",
      "INFO:tensorflow:Evaluation [637/1000]\n",
      "INFO:tensorflow:Evaluation [638/1000]\n",
      "INFO:tensorflow:Evaluation [639/1000]\n",
      "INFO:tensorflow:Evaluation [640/1000]\n",
      "INFO:tensorflow:Evaluation [641/1000]\n",
      "INFO:tensorflow:Evaluation [642/1000]\n",
      "INFO:tensorflow:Evaluation [643/1000]\n",
      "INFO:tensorflow:Evaluation [644/1000]\n",
      "INFO:tensorflow:Evaluation [645/1000]\n",
      "INFO:tensorflow:Evaluation [646/1000]\n",
      "INFO:tensorflow:Evaluation [647/1000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Evaluation [648/1000]\n",
      "INFO:tensorflow:Evaluation [649/1000]\n",
      "INFO:tensorflow:Evaluation [650/1000]\n",
      "INFO:tensorflow:Evaluation [651/1000]\n",
      "INFO:tensorflow:Evaluation [652/1000]\n",
      "INFO:tensorflow:Evaluation [653/1000]\n",
      "INFO:tensorflow:Evaluation [654/1000]\n",
      "INFO:tensorflow:Evaluation [655/1000]\n",
      "INFO:tensorflow:Evaluation [656/1000]\n",
      "INFO:tensorflow:Evaluation [657/1000]\n",
      "INFO:tensorflow:Evaluation [658/1000]\n",
      "INFO:tensorflow:Evaluation [659/1000]\n",
      "INFO:tensorflow:Evaluation [660/1000]\n",
      "INFO:tensorflow:Evaluation [661/1000]\n",
      "INFO:tensorflow:Evaluation [662/1000]\n",
      "INFO:tensorflow:Evaluation [663/1000]\n",
      "INFO:tensorflow:Evaluation [664/1000]\n",
      "INFO:tensorflow:Evaluation [665/1000]\n",
      "INFO:tensorflow:Evaluation [666/1000]\n",
      "INFO:tensorflow:Evaluation [667/1000]\n",
      "INFO:tensorflow:Evaluation [668/1000]\n",
      "INFO:tensorflow:Evaluation [669/1000]\n",
      "INFO:tensorflow:Evaluation [670/1000]\n",
      "INFO:tensorflow:Evaluation [671/1000]\n",
      "INFO:tensorflow:Evaluation [672/1000]\n",
      "INFO:tensorflow:Evaluation [673/1000]\n",
      "INFO:tensorflow:Evaluation [674/1000]\n",
      "INFO:tensorflow:Evaluation [675/1000]\n",
      "INFO:tensorflow:Evaluation [676/1000]\n",
      "INFO:tensorflow:Evaluation [677/1000]\n",
      "INFO:tensorflow:Evaluation [678/1000]\n",
      "INFO:tensorflow:Evaluation [679/1000]\n",
      "INFO:tensorflow:Evaluation [680/1000]\n",
      "INFO:tensorflow:Evaluation [681/1000]\n",
      "INFO:tensorflow:Evaluation [682/1000]\n",
      "INFO:tensorflow:Evaluation [683/1000]\n",
      "INFO:tensorflow:Evaluation [684/1000]\n",
      "INFO:tensorflow:Evaluation [685/1000]\n",
      "INFO:tensorflow:Evaluation [686/1000]\n",
      "INFO:tensorflow:Evaluation [687/1000]\n",
      "INFO:tensorflow:Evaluation [688/1000]\n",
      "INFO:tensorflow:Evaluation [689/1000]\n",
      "INFO:tensorflow:Evaluation [690/1000]\n",
      "INFO:tensorflow:Evaluation [691/1000]\n",
      "INFO:tensorflow:Evaluation [692/1000]\n",
      "INFO:tensorflow:Evaluation [693/1000]\n",
      "INFO:tensorflow:Evaluation [694/1000]\n",
      "INFO:tensorflow:Evaluation [695/1000]\n",
      "INFO:tensorflow:Evaluation [696/1000]\n",
      "INFO:tensorflow:Evaluation [697/1000]\n",
      "INFO:tensorflow:Evaluation [698/1000]\n",
      "INFO:tensorflow:Evaluation [699/1000]\n",
      "INFO:tensorflow:Evaluation [700/1000]\n",
      "INFO:tensorflow:Evaluation [701/1000]\n",
      "INFO:tensorflow:Evaluation [702/1000]\n",
      "INFO:tensorflow:Evaluation [703/1000]\n",
      "INFO:tensorflow:Evaluation [704/1000]\n",
      "INFO:tensorflow:Evaluation [705/1000]\n",
      "INFO:tensorflow:Evaluation [706/1000]\n",
      "INFO:tensorflow:Evaluation [707/1000]\n",
      "INFO:tensorflow:Evaluation [708/1000]\n",
      "INFO:tensorflow:Evaluation [709/1000]\n",
      "INFO:tensorflow:Evaluation [710/1000]\n",
      "INFO:tensorflow:Evaluation [711/1000]\n",
      "INFO:tensorflow:Evaluation [712/1000]\n",
      "INFO:tensorflow:Evaluation [713/1000]\n",
      "INFO:tensorflow:Evaluation [714/1000]\n",
      "INFO:tensorflow:Evaluation [715/1000]\n",
      "INFO:tensorflow:Evaluation [716/1000]\n",
      "INFO:tensorflow:Evaluation [717/1000]\n",
      "INFO:tensorflow:Evaluation [718/1000]\n",
      "INFO:tensorflow:Evaluation [719/1000]\n",
      "INFO:tensorflow:Evaluation [720/1000]\n",
      "INFO:tensorflow:Evaluation [721/1000]\n",
      "INFO:tensorflow:Evaluation [722/1000]\n",
      "INFO:tensorflow:Evaluation [723/1000]\n",
      "INFO:tensorflow:Evaluation [724/1000]\n",
      "INFO:tensorflow:Evaluation [725/1000]\n",
      "INFO:tensorflow:Evaluation [726/1000]\n",
      "INFO:tensorflow:Evaluation [727/1000]\n",
      "INFO:tensorflow:Evaluation [728/1000]\n",
      "INFO:tensorflow:Evaluation [729/1000]\n",
      "INFO:tensorflow:Evaluation [730/1000]\n",
      "INFO:tensorflow:Evaluation [731/1000]\n",
      "INFO:tensorflow:Evaluation [732/1000]\n",
      "INFO:tensorflow:Evaluation [733/1000]\n",
      "INFO:tensorflow:Evaluation [734/1000]\n",
      "INFO:tensorflow:Evaluation [735/1000]\n",
      "INFO:tensorflow:Evaluation [736/1000]\n",
      "INFO:tensorflow:Evaluation [737/1000]\n",
      "INFO:tensorflow:Evaluation [738/1000]\n",
      "INFO:tensorflow:Evaluation [739/1000]\n",
      "INFO:tensorflow:Evaluation [740/1000]\n",
      "INFO:tensorflow:Evaluation [741/1000]\n",
      "INFO:tensorflow:Evaluation [742/1000]\n",
      "INFO:tensorflow:Evaluation [743/1000]\n",
      "INFO:tensorflow:Evaluation [744/1000]\n",
      "INFO:tensorflow:Evaluation [745/1000]\n",
      "INFO:tensorflow:Evaluation [746/1000]\n",
      "INFO:tensorflow:Evaluation [747/1000]\n",
      "INFO:tensorflow:Evaluation [748/1000]\n",
      "INFO:tensorflow:Evaluation [749/1000]\n",
      "INFO:tensorflow:Evaluation [750/1000]\n",
      "INFO:tensorflow:Evaluation [751/1000]\n",
      "INFO:tensorflow:Evaluation [752/1000]\n",
      "INFO:tensorflow:Evaluation [753/1000]\n",
      "INFO:tensorflow:Evaluation [754/1000]\n",
      "INFO:tensorflow:Evaluation [755/1000]\n",
      "INFO:tensorflow:Evaluation [756/1000]\n",
      "INFO:tensorflow:Evaluation [757/1000]\n",
      "INFO:tensorflow:Evaluation [758/1000]\n",
      "INFO:tensorflow:Evaluation [759/1000]\n",
      "INFO:tensorflow:Evaluation [760/1000]\n",
      "INFO:tensorflow:Evaluation [761/1000]\n",
      "INFO:tensorflow:Evaluation [762/1000]\n",
      "INFO:tensorflow:Evaluation [763/1000]\n",
      "INFO:tensorflow:Evaluation [764/1000]\n",
      "INFO:tensorflow:Evaluation [765/1000]\n",
      "INFO:tensorflow:Evaluation [766/1000]\n",
      "INFO:tensorflow:Evaluation [767/1000]\n",
      "INFO:tensorflow:Evaluation [768/1000]\n",
      "INFO:tensorflow:Evaluation [769/1000]\n",
      "INFO:tensorflow:Evaluation [770/1000]\n",
      "INFO:tensorflow:Evaluation [771/1000]\n",
      "INFO:tensorflow:Evaluation [772/1000]\n",
      "INFO:tensorflow:Evaluation [773/1000]\n",
      "INFO:tensorflow:Evaluation [774/1000]\n",
      "INFO:tensorflow:Evaluation [775/1000]\n",
      "INFO:tensorflow:Evaluation [776/1000]\n",
      "INFO:tensorflow:Evaluation [777/1000]\n",
      "INFO:tensorflow:Evaluation [778/1000]\n",
      "INFO:tensorflow:Evaluation [779/1000]\n",
      "INFO:tensorflow:Evaluation [780/1000]\n",
      "INFO:tensorflow:Evaluation [781/1000]\n",
      "INFO:tensorflow:Evaluation [782/1000]\n",
      "INFO:tensorflow:Evaluation [783/1000]\n",
      "INFO:tensorflow:Evaluation [784/1000]\n",
      "INFO:tensorflow:Evaluation [785/1000]\n",
      "INFO:tensorflow:Evaluation [786/1000]\n",
      "INFO:tensorflow:Evaluation [787/1000]\n",
      "INFO:tensorflow:Evaluation [788/1000]\n",
      "INFO:tensorflow:Evaluation [789/1000]\n",
      "INFO:tensorflow:Evaluation [790/1000]\n",
      "INFO:tensorflow:Evaluation [791/1000]\n",
      "INFO:tensorflow:Evaluation [792/1000]\n",
      "INFO:tensorflow:Evaluation [793/1000]\n",
      "INFO:tensorflow:Evaluation [794/1000]\n",
      "INFO:tensorflow:Evaluation [795/1000]\n",
      "INFO:tensorflow:Evaluation [796/1000]\n",
      "INFO:tensorflow:Evaluation [797/1000]\n",
      "INFO:tensorflow:Evaluation [798/1000]\n",
      "INFO:tensorflow:Evaluation [799/1000]\n",
      "INFO:tensorflow:Evaluation [800/1000]\n",
      "INFO:tensorflow:Evaluation [801/1000]\n",
      "INFO:tensorflow:Evaluation [802/1000]\n",
      "INFO:tensorflow:Evaluation [803/1000]\n",
      "INFO:tensorflow:Evaluation [804/1000]\n",
      "INFO:tensorflow:Evaluation [805/1000]\n",
      "INFO:tensorflow:Evaluation [806/1000]\n",
      "INFO:tensorflow:Evaluation [807/1000]\n",
      "INFO:tensorflow:Evaluation [808/1000]\n",
      "INFO:tensorflow:Evaluation [809/1000]\n",
      "INFO:tensorflow:Evaluation [810/1000]\n",
      "INFO:tensorflow:Evaluation [811/1000]\n",
      "INFO:tensorflow:Evaluation [812/1000]\n",
      "INFO:tensorflow:Evaluation [813/1000]\n",
      "INFO:tensorflow:Evaluation [814/1000]\n",
      "INFO:tensorflow:Evaluation [815/1000]\n",
      "INFO:tensorflow:Evaluation [816/1000]\n",
      "INFO:tensorflow:Evaluation [817/1000]\n",
      "INFO:tensorflow:Evaluation [818/1000]\n",
      "INFO:tensorflow:Evaluation [819/1000]\n",
      "INFO:tensorflow:Evaluation [820/1000]\n",
      "INFO:tensorflow:Evaluation [821/1000]\n",
      "INFO:tensorflow:Evaluation [822/1000]\n",
      "INFO:tensorflow:Evaluation [823/1000]\n",
      "INFO:tensorflow:Evaluation [824/1000]\n",
      "INFO:tensorflow:Evaluation [825/1000]\n",
      "INFO:tensorflow:Evaluation [826/1000]\n",
      "INFO:tensorflow:Evaluation [827/1000]\n",
      "INFO:tensorflow:Evaluation [828/1000]\n",
      "INFO:tensorflow:Evaluation [829/1000]\n",
      "INFO:tensorflow:Evaluation [830/1000]\n",
      "INFO:tensorflow:Evaluation [831/1000]\n",
      "INFO:tensorflow:Evaluation [832/1000]\n",
      "INFO:tensorflow:Evaluation [833/1000]\n",
      "INFO:tensorflow:Evaluation [834/1000]\n",
      "INFO:tensorflow:Evaluation [835/1000]\n",
      "INFO:tensorflow:Evaluation [836/1000]\n",
      "INFO:tensorflow:Evaluation [837/1000]\n",
      "INFO:tensorflow:Evaluation [838/1000]\n",
      "INFO:tensorflow:Evaluation [839/1000]\n",
      "INFO:tensorflow:Evaluation [840/1000]\n",
      "INFO:tensorflow:Evaluation [841/1000]\n",
      "INFO:tensorflow:Evaluation [842/1000]\n",
      "INFO:tensorflow:Evaluation [843/1000]\n",
      "INFO:tensorflow:Evaluation [844/1000]\n",
      "INFO:tensorflow:Evaluation [845/1000]\n",
      "INFO:tensorflow:Evaluation [846/1000]\n",
      "INFO:tensorflow:Evaluation [847/1000]\n",
      "INFO:tensorflow:Evaluation [848/1000]\n",
      "INFO:tensorflow:Evaluation [849/1000]\n",
      "INFO:tensorflow:Evaluation [850/1000]\n",
      "INFO:tensorflow:Evaluation [851/1000]\n",
      "INFO:tensorflow:Evaluation [852/1000]\n",
      "INFO:tensorflow:Evaluation [853/1000]\n",
      "INFO:tensorflow:Evaluation [854/1000]\n",
      "INFO:tensorflow:Evaluation [855/1000]\n",
      "INFO:tensorflow:Evaluation [856/1000]\n",
      "INFO:tensorflow:Evaluation [857/1000]\n",
      "INFO:tensorflow:Evaluation [858/1000]\n",
      "INFO:tensorflow:Evaluation [859/1000]\n",
      "INFO:tensorflow:Evaluation [860/1000]\n",
      "INFO:tensorflow:Evaluation [861/1000]\n",
      "INFO:tensorflow:Evaluation [862/1000]\n",
      "INFO:tensorflow:Evaluation [863/1000]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Evaluation [864/1000]\n",
      "INFO:tensorflow:Evaluation [865/1000]\n",
      "INFO:tensorflow:Evaluation [866/1000]\n",
      "INFO:tensorflow:Evaluation [867/1000]\n",
      "INFO:tensorflow:Evaluation [868/1000]\n",
      "INFO:tensorflow:Evaluation [869/1000]\n",
      "INFO:tensorflow:Evaluation [870/1000]\n",
      "INFO:tensorflow:Evaluation [871/1000]\n",
      "INFO:tensorflow:Evaluation [872/1000]\n",
      "INFO:tensorflow:Evaluation [873/1000]\n",
      "INFO:tensorflow:Evaluation [874/1000]\n",
      "INFO:tensorflow:Evaluation [875/1000]\n",
      "INFO:tensorflow:Evaluation [876/1000]\n",
      "INFO:tensorflow:Evaluation [877/1000]\n",
      "INFO:tensorflow:Evaluation [878/1000]\n",
      "INFO:tensorflow:Evaluation [879/1000]\n",
      "INFO:tensorflow:Evaluation [880/1000]\n",
      "INFO:tensorflow:Evaluation [881/1000]\n",
      "INFO:tensorflow:Evaluation [882/1000]\n",
      "INFO:tensorflow:Evaluation [883/1000]\n",
      "INFO:tensorflow:Evaluation [884/1000]\n",
      "INFO:tensorflow:Evaluation [885/1000]\n",
      "INFO:tensorflow:Evaluation [886/1000]\n",
      "INFO:tensorflow:Evaluation [887/1000]\n",
      "INFO:tensorflow:Evaluation [888/1000]\n",
      "INFO:tensorflow:Evaluation [889/1000]\n",
      "INFO:tensorflow:Evaluation [890/1000]\n",
      "INFO:tensorflow:Evaluation [891/1000]\n",
      "INFO:tensorflow:Evaluation [892/1000]\n",
      "INFO:tensorflow:Evaluation [893/1000]\n",
      "INFO:tensorflow:Evaluation [894/1000]\n",
      "INFO:tensorflow:Evaluation [895/1000]\n",
      "INFO:tensorflow:Evaluation [896/1000]\n",
      "INFO:tensorflow:Evaluation [897/1000]\n",
      "INFO:tensorflow:Evaluation [898/1000]\n",
      "INFO:tensorflow:Evaluation [899/1000]\n",
      "INFO:tensorflow:Evaluation [900/1000]\n",
      "INFO:tensorflow:Evaluation [901/1000]\n",
      "INFO:tensorflow:Evaluation [902/1000]\n",
      "INFO:tensorflow:Evaluation [903/1000]\n",
      "INFO:tensorflow:Evaluation [904/1000]\n",
      "INFO:tensorflow:Evaluation [905/1000]\n",
      "INFO:tensorflow:Evaluation [906/1000]\n",
      "INFO:tensorflow:Evaluation [907/1000]\n",
      "INFO:tensorflow:Evaluation [908/1000]\n",
      "INFO:tensorflow:Evaluation [909/1000]\n",
      "INFO:tensorflow:Evaluation [910/1000]\n",
      "INFO:tensorflow:Evaluation [911/1000]\n",
      "INFO:tensorflow:Evaluation [912/1000]\n",
      "INFO:tensorflow:Evaluation [913/1000]\n",
      "INFO:tensorflow:Evaluation [914/1000]\n",
      "INFO:tensorflow:Evaluation [915/1000]\n",
      "INFO:tensorflow:Evaluation [916/1000]\n",
      "INFO:tensorflow:Evaluation [917/1000]\n",
      "INFO:tensorflow:Evaluation [918/1000]\n",
      "INFO:tensorflow:Evaluation [919/1000]\n",
      "INFO:tensorflow:Evaluation [920/1000]\n",
      "INFO:tensorflow:Evaluation [921/1000]\n",
      "INFO:tensorflow:Evaluation [922/1000]\n",
      "INFO:tensorflow:Evaluation [923/1000]\n",
      "INFO:tensorflow:Evaluation [924/1000]\n",
      "INFO:tensorflow:Evaluation [925/1000]\n",
      "INFO:tensorflow:Evaluation [926/1000]\n",
      "INFO:tensorflow:Evaluation [927/1000]\n",
      "INFO:tensorflow:Evaluation [928/1000]\n",
      "INFO:tensorflow:Evaluation [929/1000]\n",
      "INFO:tensorflow:Evaluation [930/1000]\n",
      "INFO:tensorflow:Evaluation [931/1000]\n",
      "INFO:tensorflow:Evaluation [932/1000]\n",
      "INFO:tensorflow:Evaluation [933/1000]\n",
      "INFO:tensorflow:Evaluation [934/1000]\n",
      "INFO:tensorflow:Evaluation [935/1000]\n",
      "INFO:tensorflow:Evaluation [936/1000]\n",
      "INFO:tensorflow:Evaluation [937/1000]\n",
      "INFO:tensorflow:Evaluation [938/1000]\n",
      "INFO:tensorflow:Evaluation [939/1000]\n",
      "INFO:tensorflow:Evaluation [940/1000]\n",
      "INFO:tensorflow:Evaluation [941/1000]\n",
      "INFO:tensorflow:Evaluation [942/1000]\n",
      "INFO:tensorflow:Evaluation [943/1000]\n",
      "INFO:tensorflow:Evaluation [944/1000]\n",
      "INFO:tensorflow:Evaluation [945/1000]\n",
      "INFO:tensorflow:Evaluation [946/1000]\n",
      "INFO:tensorflow:Evaluation [947/1000]\n",
      "INFO:tensorflow:Evaluation [948/1000]\n",
      "INFO:tensorflow:Evaluation [949/1000]\n",
      "INFO:tensorflow:Evaluation [950/1000]\n",
      "INFO:tensorflow:Evaluation [951/1000]\n",
      "INFO:tensorflow:Evaluation [952/1000]\n",
      "INFO:tensorflow:Evaluation [953/1000]\n",
      "INFO:tensorflow:Evaluation [954/1000]\n",
      "INFO:tensorflow:Evaluation [955/1000]\n",
      "INFO:tensorflow:Evaluation [956/1000]\n",
      "INFO:tensorflow:Evaluation [957/1000]\n",
      "INFO:tensorflow:Evaluation [958/1000]\n",
      "INFO:tensorflow:Evaluation [959/1000]\n",
      "INFO:tensorflow:Evaluation [960/1000]\n",
      "INFO:tensorflow:Evaluation [961/1000]\n",
      "INFO:tensorflow:Evaluation [962/1000]\n",
      "INFO:tensorflow:Evaluation [963/1000]\n",
      "INFO:tensorflow:Evaluation [964/1000]\n",
      "INFO:tensorflow:Evaluation [965/1000]\n",
      "INFO:tensorflow:Evaluation [966/1000]\n",
      "INFO:tensorflow:Evaluation [967/1000]\n",
      "INFO:tensorflow:Evaluation [968/1000]\n",
      "INFO:tensorflow:Evaluation [969/1000]\n",
      "INFO:tensorflow:Evaluation [970/1000]\n",
      "INFO:tensorflow:Evaluation [971/1000]\n",
      "INFO:tensorflow:Evaluation [972/1000]\n",
      "INFO:tensorflow:Evaluation [973/1000]\n",
      "INFO:tensorflow:Evaluation [974/1000]\n",
      "INFO:tensorflow:Evaluation [975/1000]\n",
      "INFO:tensorflow:Evaluation [976/1000]\n",
      "INFO:tensorflow:Evaluation [977/1000]\n",
      "INFO:tensorflow:Evaluation [978/1000]\n",
      "INFO:tensorflow:Evaluation [979/1000]\n",
      "INFO:tensorflow:Evaluation [980/1000]\n",
      "INFO:tensorflow:Evaluation [981/1000]\n",
      "INFO:tensorflow:Evaluation [982/1000]\n",
      "INFO:tensorflow:Evaluation [983/1000]\n",
      "INFO:tensorflow:Evaluation [984/1000]\n",
      "INFO:tensorflow:Evaluation [985/1000]\n",
      "INFO:tensorflow:Evaluation [986/1000]\n",
      "INFO:tensorflow:Evaluation [987/1000]\n",
      "INFO:tensorflow:Evaluation [988/1000]\n",
      "INFO:tensorflow:Evaluation [989/1000]\n",
      "INFO:tensorflow:Evaluation [990/1000]\n",
      "INFO:tensorflow:Evaluation [991/1000]\n",
      "INFO:tensorflow:Evaluation [992/1000]\n",
      "INFO:tensorflow:Evaluation [993/1000]\n",
      "INFO:tensorflow:Evaluation [994/1000]\n",
      "INFO:tensorflow:Evaluation [995/1000]\n",
      "INFO:tensorflow:Evaluation [996/1000]\n",
      "INFO:tensorflow:Evaluation [997/1000]\n",
      "INFO:tensorflow:Evaluation [998/1000]\n",
      "INFO:tensorflow:Evaluation [999/1000]\n",
      "INFO:tensorflow:Evaluation [1000/1000]\n",
      "INFO:tensorflow:Finished evaluation at 2017-08-29-07:35:52\n",
      "INFO:tensorflow:Saving dict for global step 1000: average_loss = 1.19084, global_step = 1000, loss = 4.76336\n"
     ]
    }
   ],
   "source": [
    "eval_metrics = estimator.evaluate(input_fn=eval_input_func,steps=1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train metrics: {'loss': 4.673841, 'average_loss': 1.1684602, 'global_step': 1000}\n",
      "eval metrics: {'loss': 4.7633586, 'average_loss': 1.1908396, 'global_step': 1000}\n"
     ]
    }
   ],
   "source": [
    "print(\"train metrics: {}\".format(train_metrics))\n",
    "print(\"eval metrics: {}\".format(eval_metrics))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "input_fn_predict = tf.estimator.inputs.numpy_input_fn({'x':np.linspace(0,10,10)},shuffle=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from C:\\Users\\Marcial\\AppData\\Local\\Temp\\tmphej5e4se\\model.ckpt-1000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[{'predictions': array([ 4.26618719], dtype=float32)},\n",
       " {'predictions': array([ 4.91423559], dtype=float32)},\n",
       " {'predictions': array([ 5.56228399], dtype=float32)},\n",
       " {'predictions': array([ 6.21033192], dtype=float32)},\n",
       " {'predictions': array([ 6.85838032], dtype=float32)},\n",
       " {'predictions': array([ 7.50642872], dtype=float32)},\n",
       " {'predictions': array([ 8.15447712], dtype=float32)},\n",
       " {'predictions': array([ 8.80252552], dtype=float32)},\n",
       " {'predictions': array([ 9.45057392], dtype=float32)},\n",
       " {'predictions': array([ 10.09862137], dtype=float32)}]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(estimator.predict(input_fn=input_fn_predict))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Restoring parameters from C:\\Users\\Marcial\\AppData\\Local\\Temp\\tmphej5e4se\\model.ckpt-1000\n"
     ]
    }
   ],
   "source": [
    "predictions = []# np.array([])\n",
    "for x in estimator.predict(input_fn=input_fn_predict):\n",
    "    predictions.append(x['predictions'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[array([ 4.26618719], dtype=float32),\n",
       " array([ 4.91423559], dtype=float32),\n",
       " array([ 5.56228399], dtype=float32),\n",
       " array([ 6.21033192], dtype=float32),\n",
       " array([ 6.85838032], dtype=float32),\n",
       " array([ 7.50642872], dtype=float32),\n",
       " array([ 8.15447712], dtype=float32),\n",
       " array([ 8.80252552], dtype=float32),\n",
       " array([ 9.45057392], dtype=float32),\n",
       " array([ 10.09862137], dtype=float32)]"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predictions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x17e696c4438>]"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYIAAAEKCAYAAAAfGVI8AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nBEEQChwxBIIgCAXO/wODDCuZJhhSCwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x17e6994df98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_data.sample(n=250).plot(kind='scatter',x='X Data',y='Y')\n",
    "plt.plot(np.linspace(0,10,10),predictions,'r')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Great Job!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}