{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from DCGAN_advanced import mnist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Extracting ./inputs/mnist/train-images-idx3-ubyte.gz\n",
      "Extracting ./inputs/mnist/train-labels-idx1-ubyte.gz\n",
      "Extracting ./inputs/mnist/t10k-images-idx3-ubyte.gz\n",
      "Extracting ./inputs/mnist/t10k-labels-idx1-ubyte.gz\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "global name 'g' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-19-4e9070c25b16>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mmnist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/Users/jasons/Desktop/deeplearning/026-GAN/DCGAN_advanced.pyc\u001b[0m in \u001b[0;36mmnist\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;32m/Users/jasons/Desktop/deeplearning/026-GAN/DCGAN_advanced.pyc\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, img_length, num_colors, d_sizes, g_sizes, keep_prob, learning_rate, n_noise)\u001b[0m\n\u001b[1;32m     37\u001b[0m         d_fake = self.build_discriminator(\n\u001b[1;32m     38\u001b[0m             g, reuse=True, keep_prob=keep_prob, d_sizes=d_sizes)\n\u001b[0;32m---> 39\u001b[0;31m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     40\u001b[0m         \u001b[0mvars_g\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mvar\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mvar\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainable_variables\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'gen'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     41\u001b[0m         \u001b[0mvars_d\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mvar\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mvar\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mtf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrainable_variables\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0;34m'disc'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mvar\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: global name 'g' is not defined"
     ]
    }
   ],
   "source": [
    "mnist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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