ConvAE_CelebA.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import torch\n",
    "import torchvision\n",
    "import torch.nn as nn\n",
    "from torch.autograd import Variable\n",
    "import torch.nn.functional as F\n",
    "from torchvision import transforms\n",
    "from torchvision import datasets\n",
    "import torch.utils.data as data_utils\n",
    "from torchvision.utils import make_grid\n",
    "import numpy as np\n",
    "import scipy\n",
    "import scipy.misc\n",
    "import random\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.image as mpimg\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python2.7/dist-packages/ipykernel_launcher.py:10: DeprecationWarning: `imread` is deprecated!\n",
      "`imread` is deprecated in SciPy 1.0.0, and will be removed in 1.2.0.\n",
      "Use ``imageio.imread`` instead.\n",
      "  # Remove the CWD from sys.path while we load stuff.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1\n",
      "2\n",
      "3\n",
      "4\n",
      "5\n",
      "6\n",
      "7\n",
      "8\n",
      "9\n",
      "10\n",
      "11\n",
      "12\n",
      "13\n",
      "14\n",
      "15\n",
      "16\n",
      "17\n",
      "18\n",
      "19\n",
      "20\n",
      "21\n",
      "22\n",
      "23\n",
      "24\n",
      "25\n",
      "26\n",
      "27\n",
      "28\n",
      "29\n",
      "30\n",
      "31\n",
      "32\n",
      "33\n",
      "34\n",
      "35\n",
      "36\n",
      "37\n",
      "38\n",
      "39\n",
      "40\n",
      "41\n",
      "42\n",
      "43\n",
      "44\n",
      "45\n",
      "46\n",
      "47\n",
      "48\n",
      "49\n",
      "50\n",
      "51\n",
      "52\n",
      "53\n",
      "54\n",
      "55\n",
      "56\n",
      "57\n",
      "58\n",
      "59\n",
      "60\n",
      "61\n",
      "62\n",
      "63\n",
      "64\n",
      "65\n",
      "66\n",
      "67\n",
      "68\n",
      "69\n",
      "70\n",
      "71\n",
      "72\n",
      "73\n",
      "74\n",
      "75\n",
      "76\n",
      "77\n",
      "78\n",
      "79\n",
      "80\n",
      "81\n",
      "82\n",
      "83\n",
      "84\n",
      "85\n",
      "86\n",
      "87\n",
      "88\n",
      "89\n",
      "90\n",
      "91\n",
      "92\n",
      "93\n",
      "94\n",
      "95\n",
      "96\n",
      "97\n",
      "98\n",
      "99\n",
      "100\n",
      "101\n",
      "102\n",
      "103\n",
      "104\n",
      "105\n",
      "106\n",
      "107\n",
      "108\n",
      "109\n",
      "110\n",
      "111\n",
      "112\n",
      "113\n",
      "114\n",
      "115\n",
      "116\n",
      "117\n",
      "118\n",
      "119\n",
      "120\n",
      "121\n",
      "122\n",
      "123\n",
      "124\n",
      "125\n",
      "126\n",
      "127\n",
      "128\n",
      "129\n",
      "130\n",
      "131\n",
      "132\n",
      "133\n",
      "134\n",
      "135\n",
      "136\n",
      "137\n",
      "138\n",
      "139\n",
      "140\n",
      "141\n",
      "142\n",
      "143\n",
      "144\n",
      "145\n",
      "146\n",
      "147\n",
      "148\n",
      "149\n",
      "150\n",
      "151\n",
      "152\n",
      "153\n",
      "154\n",
      "155\n",
      "156\n",
      "157\n",
      "158\n",
      "159\n",
      "160\n",
      "161\n",
      "162\n",
      "163\n",
      "164\n",
      "165\n",
      "166\n",
      "167\n",
      "168\n",
      "169\n",
      "170\n",
      "171\n",
      "172\n",
      "173\n",
      "174\n",
      "175\n",
      "176\n",
      "177\n",
      "178\n",
      "179\n",
      "180\n",
      "181\n",
      "182\n",
      "183\n",
      "184\n",
      "185\n",
      "186\n",
      "187\n",
      "188\n",
      "189\n",
      "190\n",
      "191\n",
      "192\n",
      "193\n",
      "194\n",
      "195\n",
      "196\n",
      "197\n",
      "198\n",
      "199\n",
      "200\n",
      "201\n",
      "202\n",
      "203\n",
      "204\n",
      "205\n",
      "206\n",
      "207\n",
      "208\n",
      "209\n",
      "210\n",
      "211\n",
      "212\n",
      "213\n",
      "214\n",
      "215\n",
      "216\n",
      "217\n",
      "218\n",
      "219\n",
      "220\n",
      "221\n",
      "222\n",
      "223\n",
      "224\n",
      "225\n",
      "226\n",
      "227\n",
      "228\n",
      "229\n",
      "230\n",
      "231\n",
      "232\n",
      "233\n",
      "234\n",
      "235\n",
      "236\n",
      "237\n",
      "238\n",
      "239\n",
      "240\n",
      "241\n",
      "242\n",
      "243\n",
      "244\n",
      "245\n",
      "246\n",
      "247\n",
      "248\n",
      "249\n",
      "250\n",
      "251\n",
      "252\n",
      "253\n",
      "254\n",
      "255\n",
      "256\n",
      "257\n",
      "258\n",
      "259\n",
      "260\n",
      "261\n",
      "262\n",
      "263\n",
      "264\n",
      "265\n",
      "266\n",
      "267\n",
      "268\n",
      "269\n",
      "270\n",
      "271\n",
      "272\n",
      "273\n",
      "274\n",
      "275\n",
      "276\n",
      "277\n",
      "278\n",
      "279\n",
      "280\n",
      "281\n",
      "282\n",
      "283\n",
      "284\n",
      "285\n",
      "286\n",
      "287\n",
      "288\n",
      "289\n",
      "290\n",
      "291\n",
      "292\n",
      "293\n",
      "294\n",
      "295\n",
      "296\n",
      "297\n",
      "298\n",
      "299\n",
      "300\n",
      "301\n",
      "302\n",
      "303\n",
      "304\n",
      "305\n",
      "306\n",
      "307\n",
      "308\n",
      "309\n",
      "310\n",
      "311\n",
      "312\n",
      "313\n",
      "314\n",
      "315\n",
      "316\n",
      "317\n",
      "318\n",
      "319\n",
      "320\n",
      "321\n",
      "322\n",
      "323\n",
      "324\n",
      "325\n",
      "326\n",
      "327\n",
      "328\n",
      "329\n",
      "330\n",
      "331\n",
      "332\n",
      "333\n",
      "334\n",
      "335\n",
      "336\n",
      "337\n",
      "338\n",
      "339\n",
      "340\n",
      "341\n",
      "342\n",
      "343\n",
      "344\n",
      "345\n",
      "346\n",
      "347\n",
      "348\n",
      "349\n",
      "350\n",
      "351\n",
      "352\n",
      "353\n",
      "354\n",
      "355\n",
      "356\n",
      "357\n",
      "358\n",
      "359\n",
      "360\n",
      "361\n",
      "362\n",
      "363\n",
      "364\n",
      "365\n",
      "366\n",
      "367\n",
      "368\n",
      "369\n",
      "370\n",
      "371\n",
      "372\n",
      "373\n",
      "374\n",
      "375\n",
      "376\n",
      "377\n",
      "378\n",
      "379\n",
      "380\n",
      "381\n",
      "382\n",
      "383\n",
      "384\n",
      "385\n",
      "386\n",
      "387\n",
      "388\n",
      "389\n",
      "390\n",
      "391\n",
      "392\n",
      "393\n",
      "394\n",
      "395\n",
      "396\n",
      "397\n",
      "398\n",
      "399\n",
      "400\n",
      "401\n",
      "402\n",
      "403\n",
      "404\n",
      "405\n",
      "406\n",
      "407\n",
      "408\n",
      "409\n",
      "410\n",
      "411\n",
      "412\n",
      "413\n",
      "414\n",
      "415\n",
      "416\n",
      "417\n",
      "418\n",
      "419\n",
      "420\n",
      "421\n",
      "422\n",
      "423\n",
      "424\n",
      "425\n",
      "426\n",
      "427\n",
      "428\n",
      "429\n",
      "430\n",
      "431\n",
      "432\n",
      "433\n",
      "434\n",
      "435\n",
      "436\n",
      "437\n",
      "438\n",
      "439\n",
      "440\n",
      "441\n",
      "442\n",
      "443\n",
      "444\n",
      "445\n",
      "446\n",
      "447\n",
      "448\n",
      "449\n",
      "450\n",
      "451\n",
      "452\n",
      "453\n",
      "454\n",
      "455\n",
      "456\n",
      "457\n",
      "458\n",
      "459\n",
      "460\n",
      "461\n",
      "462\n",
      "463\n",
      "464\n",
      "465\n",
      "466\n",
      "467\n",
      "468\n",
      "469\n",
      "470\n",
      "471\n",
      "472\n",
      "473\n",
      "474\n",
      "475\n",
      "476\n",
      "477\n",
      "478\n",
      "479\n",
      "480\n",
      "481\n",
      "482\n",
      "483\n",
      "484\n",
      "485\n",
      "486\n",
      "487\n",
      "488\n",
      "489\n",
      "490\n",
      "491\n",
      "492\n",
      "493\n",
      "494\n",
      "495\n",
      "496\n",
      "497\n",
      "498\n",
      "499\n",
      "500\n",
      "501\n",
      "502\n",
      "503\n",
      "504\n",
      "505\n",
      "506\n",
      "507\n",
      "508\n",
      "509\n",
      "510\n",
      "511\n",
      "512\n",
      "513\n",
      "514\n",
      "515\n",
      "516\n",
      "517\n",
      "518\n",
      "519\n",
      "520\n",
      "521\n",
      "522\n",
      "523\n",
      "524\n",
      "525\n",
      "526\n",
      "527\n",
      "528\n",
      "529\n",
      "530\n",
      "531\n",
      "532\n",
      "533\n",
      "534\n",
      "535\n",
      "536\n",
      "537\n",
      "538\n",
      "539\n",
      "540\n",
      "541\n",
      "542\n",
      "543\n",
      "544\n",
      "545\n",
      "546\n",
      "547\n",
      "548\n",
      "549\n",
      "550\n",
      "551\n",
      "552\n",
      "553\n",
      "554\n",
      "555\n",
      "556\n",
      "557\n",
      "558\n",
      "559\n",
      "560\n",
      "561\n",
      "562\n",
      "563\n",
      "564\n",
      "565\n",
      "566\n",
      "567\n",
      "568\n",
      "569\n",
      "570\n",
      "571\n",
      "572\n",
      "573\n",
      "574\n",
      "575\n",
      "576\n",
      "577\n",
      "578\n",
      "579\n",
      "580\n",
      "581\n",
      "582\n",
      "583\n",
      "584\n",
      "585\n",
      "586\n",
      "587\n",
      "588\n",
      "589\n",
      "590\n",
      "591\n",
      "592\n",
      "593\n",
      "594\n",
      "595\n",
      "596\n",
      "597\n",
      "598\n",
      "599\n",
      "600\n",
      "601\n",
      "602\n",
      "603\n",
      "604\n",
      "605\n",
      "606\n",
      "607\n",
      "608\n",
      "609\n",
      "610\n",
      "611\n",
      "612\n",
      "613\n",
      "614\n",
      "615\n",
      "616\n",
      "617\n",
      "618\n",
      "619\n",
      "620\n",
      "621\n",
      "622\n",
      "623\n",
      "624\n",
      "625\n",
      "626\n",
      "627\n",
      "628\n",
      "629\n",
      "630\n",
      "631\n",
      "632\n",
      "633\n",
      "634\n",
      "635\n",
      "636\n",
      "637\n",
      "638\n",
      "639\n",
      "640\n",
      "641\n",
      "642\n",
      "643\n",
      "644\n",
      "645\n",
      "646\n",
      "647\n",
      "648\n",
      "649\n",
      "650\n",
      "651\n",
      "652\n",
      "653\n",
      "654\n",
      "655\n",
      "656\n",
      "657\n",
      "658\n",
      "659\n",
      "660\n",
      "661\n",
      "662\n",
      "663\n",
      "664\n",
      "665\n",
      "666\n",
      "667\n",
      "668\n",
      "669\n",
      "670\n",
      "671\n",
      "672\n",
      "673\n",
      "674\n",
      "675\n",
      "676\n",
      "677\n",
      "678\n",
      "679\n",
      "680\n",
      "681\n",
      "682\n",
      "683\n",
      "684\n",
      "685\n",
      "686\n",
      "687\n",
      "688\n",
      "689\n",
      "690\n",
      "691\n",
      "692\n",
      "693\n",
      "694\n",
      "695\n",
      "696\n",
      "697\n",
      "698\n",
      "699\n",
      "700\n",
      "701\n",
      "702\n",
      "703\n",
      "704\n",
      "705\n",
      "706\n",
      "707\n",
      "708\n",
      "709\n",
      "710\n",
      "711\n",
      "712\n",
      "713\n",
      "714\n",
      "715\n",
      "716\n",
      "717\n",
      "718\n",
      "719\n",
      "720\n",
      "721\n",
      "722\n",
      "723\n",
      "724\n",
      "725\n",
      "726\n",
      "727\n",
      "728\n",
      "729\n",
      "730\n",
      "731\n",
      "732\n",
      "733\n",
      "734\n",
      "735\n",
      "736\n",
      "737\n",
      "738\n",
      "739\n",
      "740\n",
      "741\n",
      "742\n",
      "743\n",
      "744\n",
      "745\n",
      "746\n",
      "747\n",
      "748\n",
      "749\n",
      "750\n",
      "751\n",
      "752\n",
      "753\n",
      "754\n",
      "755\n",
      "756\n",
      "757\n",
      "758\n",
      "759\n",
      "760\n",
      "761\n",
      "762\n",
      "763\n",
      "764\n",
      "765\n",
      "766\n",
      "767\n",
      "768\n",
      "769\n",
      "770\n",
      "771\n",
      "772\n",
      "773\n",
      "774\n",
      "775\n",
      "776\n",
      "777\n",
      "778\n",
      "779\n",
      "780\n",
      "781\n",
      "782\n",
      "783\n",
      "784\n",
      "785\n",
      "786\n",
      "787\n",
      "788\n",
      "789\n",
      "790\n",
      "791\n",
      "792\n",
      "793\n",
      "794\n",
      "795\n",
      "796\n",
      "797\n",
      "798\n",
      "799\n",
      "800\n",
      "801\n",
      "802\n",
      "803\n",
      "804\n",
      "805\n",
      "806\n",
      "807\n",
      "808\n",
      "809\n",
      "810\n",
      "811\n",
      "812\n",
      "813\n",
      "814\n",
      "815\n",
      "816\n",
      "817\n",
      "818\n",
      "819\n",
      "820\n",
      "821\n",
      "822\n",
      "823\n",
      "824\n",
      "825\n",
      "826\n",
      "827\n",
      "828\n",
      "829\n",
      "830\n",
      "831\n",
      "832\n",
      "833\n",
      "834\n",
      "835\n",
      "836\n",
      "837\n",
      "838\n",
      "839\n",
      "840\n",
      "841\n",
      "842\n",
      "843\n",
      "844\n",
      "845\n",
      "846\n",
      "847\n",
      "848\n",
      "849\n",
      "850\n",
      "851\n",
      "852\n",
      "853\n",
      "854\n",
      "855\n",
      "856\n",
      "857\n",
      "858\n",
      "859\n",
      "860\n",
      "861\n",
      "862\n",
      "863\n",
      "864\n",
      "865\n",
      "866\n",
      "867\n",
      "868\n",
      "869\n",
      "870\n",
      "871\n",
      "872\n",
      "873\n",
      "874\n",
      "875\n",
      "876\n",
      "877\n",
      "878\n",
      "879\n",
      "880\n",
      "881\n",
      "882\n",
      "883\n",
      "884\n",
      "885\n",
      "886\n",
      "887\n",
      "888\n",
      "889\n",
      "890\n",
      "891\n",
      "892\n",
      "893\n",
      "894\n",
      "895\n",
      "896\n",
      "897\n",
      "898\n",
      "899\n",
      "900\n",
      "901\n",
      "902\n",
      "903\n",
      "904\n",
      "905\n",
      "906\n",
      "907\n",
      "908\n",
      "909\n",
      "910\n",
      "911\n",
      "912\n",
      "913\n",
      "914\n",
      "915\n",
      "916\n",
      "917\n",
      "918\n",
      "919\n",
      "920\n",
      "921\n",
      "922\n",
      "923\n",
      "924\n",
      "925\n",
      "926\n",
      "927\n",
      "928\n",
      "929\n",
      "930\n",
      "931\n",
      "932\n",
      "933\n",
      "934\n",
      "935\n",
      "936\n",
      "937\n",
      "938\n",
      "939\n",
      "940\n",
      "941\n",
      "942\n",
      "943\n",
      "944\n",
      "945\n",
      "946\n",
      "947\n",
      "948\n",
      "949\n",
      "950\n",
      "951\n",
      "952\n",
      "953\n",
      "954\n",
      "955\n",
      "956\n",
      "957\n",
      "958\n",
      "959\n",
      "960\n",
      "961\n",
      "962\n",
      "963\n",
      "964\n",
      "965\n",
      "966\n",
      "967\n",
      "968\n",
      "969\n",
      "970\n",
      "971\n",
      "972\n",
      "973\n",
      "974\n",
      "975\n",
      "976\n",
      "977\n",
      "978\n",
      "979\n",
      "980\n",
      "981\n",
      "982\n",
      "983\n",
      "984\n",
      "985\n",
      "986\n",
      "987\n",
      "988\n",
      "989\n",
      "990\n",
      "991\n",
      "992\n",
      "993\n",
      "994\n",
      "995\n",
      "996\n",
      "997\n",
      "998\n",
      "999\n",
      "1000\n",
      "1001\n",
      "1002\n",
      "1003\n",
      "1004\n",
      "1005\n",
      "1006\n",
      "1007\n",
      "1008\n",
      "1009\n",
      "1010\n",
      "1011\n",
      "1012\n",
      "1013\n",
      "1014\n",
      "1015\n",
      "1016\n",
      "1017\n",
      "1018\n",
      "1019\n",
      "1020\n",
      "1021\n",
      "1022\n",
      "1023\n",
      "1024\n",
      "1025\n",
      "1026\n",
      "1027\n",
      "1028\n",
      "1029\n",
      "1030\n",
      "1031\n",
      "1032\n",
      "1033\n",
      "1034\n",
      "1035\n",
      "1036\n",
      "1037\n",
      "1038\n",
      "1039\n",
      "1040\n",
      "1041\n",
      "1042\n",
      "1043\n",
      "1044\n",
      "1045\n",
      "1046\n",
      "1047\n",
      "1048\n",
      "1049\n",
      "1050\n",
      "1051\n",
      "1052\n",
      "1053\n",
      "1054\n",
      "1055\n",
      "1056\n",
      "1057\n",
      "1058\n",
      "1059\n",
      "1060\n",
      "1061\n",
      "1062\n",
      "1063\n",
      "1064\n",
      "1065\n",
      "1066\n",
      "1067\n",
      "1068\n",
      "1069\n",
      "1070\n",
      "1071\n",
      "1072\n",
      "1073\n",
      "1074\n",
      "1075\n",
      "1076\n",
      "1077\n",
      "1078\n",
      "1079\n",
      "1080\n",
      "1081\n",
      "1082\n",
      "1083\n",
      "1084\n",
      "1085\n",
      "1086\n",
      "1087\n",
      "1088\n",
      "1089\n",
      "1090\n",
      "1091\n",
      "1092\n",
      "1093\n",
      "1094\n",
      "1095\n",
      "1096\n",
      "1097\n",
      "1098\n",
      "1099\n",
      "1100\n",
      "1101\n",
      "1102\n",
      "1103\n",
      "1104\n",
      "1105\n",
      "1106\n",
      "1107\n",
      "1108\n",
      "1109\n",
      "1110\n",
      "1111\n",
      "1112\n",
      "1113\n",
      "1114\n",
      "1115\n",
      "1116\n",
      "1117\n",
      "1118\n",
      "1119\n",
      "1120\n",
      "1121\n",
      "1122\n",
      "1123\n",
      "1124\n",
      "1125\n",
      "1126\n",
      "1127\n",
      "1128\n",
      "1129\n",
      "1130\n",
      "1131\n",
      "1132\n",
      "1133\n",
      "1134\n",
      "1135\n",
      "1136\n",
      "1137\n",
      "1138\n",
      "1139\n",
      "1140\n",
      "1141\n",
      "1142\n",
      "1143\n",
      "1144\n",
      "1145\n",
      "1146\n",
      "1147\n",
      "1148\n",
      "1149\n",
      "1150\n",
      "1151\n",
      "1152\n",
      "1153\n",
      "1154\n",
      "1155\n",
      "1156\n",
      "1157\n",
      "1158\n",
      "1159\n",
      "1160\n",
      "1161\n",
      "1162\n",
      "1163\n",
      "1164\n",
      "1165\n",
      "1166\n",
      "1167\n",
      "1168\n",
      "1169\n",
      "1170\n",
      "1171\n",
      "1172\n",
      "1173\n",
      "1174\n",
      "1175\n",
      "1176\n",
      "1177\n",
      "1178\n",
      "1179\n",
      "1180\n",
      "1181\n",
      "1182\n",
      "1183\n",
      "1184\n",
      "1185\n",
      "1186\n",
      "1187\n",
      "1188\n",
      "1189\n",
      "1190\n",
      "1191\n",
      "1192\n",
      "1193\n",
      "1194\n",
      "1195\n",
      "1196\n",
      "1197\n",
      "1198\n",
      "1199\n",
      "1200\n",
      "1201\n",
      "1202\n",
      "1203\n",
      "1204\n",
      "1205\n",
      "1206\n",
      "1207\n",
      "1208\n",
      "1209\n",
      "1210\n",
      "1211\n",
      "1212\n",
      "1213\n",
      "1214\n",
      "1215\n",
      "1216\n",
      "1217\n",
      "1218\n",
      "1219\n",
      "1220\n",
      "1221\n",
      "1222\n",
      "1223\n",
      "1224\n",
      "1225\n",
      "1226\n",
      "1227\n",
      "1228\n",
      "1229\n",
      "1230\n",
      "1231\n",
      "1232\n",
      "1233\n",
      "1234\n",
      "1235\n",
      "1236\n",
      "1237\n",
      "1238\n",
      "1239\n",
      "1240\n",
      "1241\n",
      "1242\n",
      "1243\n",
      "1244\n",
      "1245\n",
      "1246\n",
      "1247\n",
      "1248\n",
      "1249\n",
      "1250\n",
      "1251\n",
      "1252\n",
      "1253\n",
      "1254\n",
      "1255\n",
      "1256\n",
      "1257\n",
      "1258\n",
      "1259\n",
      "1260\n",
      "1261\n",
      "1262\n",
      "1263\n",
      "1264\n",
      "1265\n",
      "1266\n",
      "1267\n",
      "1268\n",
      "1269\n",
      "1270\n",
      "1271\n",
      "1272\n",
      "1273\n",
      "1274\n",
      "1275\n",
      "1276\n",
      "1277\n",
      "1278\n",
      "1279\n",
      "1280\n",
      "1281\n",
      "1282\n",
      "1283\n",
      "1284\n",
      "1285\n",
      "1286\n",
      "1287\n",
      "1288\n",
      "1289\n",
      "1290\n",
      "1291\n",
      "1292\n",
      "1293\n",
      "1294\n",
      "1295\n",
      "1296\n",
      "1297\n",
      "1298\n",
      "1299\n",
      "1300\n",
      "1301\n",
      "1302\n",
      "1303\n",
      "1304\n",
      "1305\n",
      "1306\n",
      "1307\n",
      "1308\n",
      "1309\n",
      "1310\n",
      "1311\n",
      "1312\n",
      "1313\n",
      "1314\n",
      "1315\n",
      "1316\n",
      "1317\n",
      "1318\n",
      "1319\n",
      "1320\n",
      "1321\n",
      "1322\n",
      "1323\n",
      "1324\n",
      "1325\n",
      "1326\n",
      "1327\n",
      "1328\n",
      "1329\n",
      "1330\n",
      "1331\n",
      "1332\n",
      "1333\n",
      "1334\n",
      "1335\n",
      "1336\n",
      "1337\n",
      "1338\n",
      "1339\n",
      "1340\n",
      "1341\n",
      "1342\n",
      "1343\n",
      "1344\n",
      "1345\n",
      "1346\n",
      "1347\n",
      "1348\n",
      "1349\n",
      "1350\n",
      "1351\n",
      "1352\n",
      "1353\n",
      "1354\n",
      "1355\n",
      "1356\n",
      "1357\n",
      "1358\n",
      "1359\n",
      "1360\n",
      "1361\n",
      "1362\n",
      "1363\n",
      "1364\n",
      "1365\n",
      "1366\n",
      "1367\n",
      "1368\n",
      "1369\n",
      "1370\n",
      "1371\n",
      "1372\n",
      "1373\n",
      "1374\n",
      "1375\n",
      "1376\n",
      "1377\n",
      "1378\n",
      "1379\n",
      "1380\n",
      "1381\n",
      "1382\n",
      "1383\n",
      "1384\n",
      "1385\n",
      "1386\n",
      "1387\n",
      "1388\n",
      "1389\n",
      "1390\n",
      "1391\n",
      "1392\n",
      "1393\n",
      "1394\n",
      "1395\n",
      "1396\n",
      "1397\n",
      "1398\n",
      "1399\n",
      "1400\n",
      "1401\n",
      "1402\n",
      "1403\n",
      "1404\n",
      "1405\n",
      "1406\n",
      "1407\n",
      "1408\n",
      "1409\n",
      "1410\n",
      "1411\n",
      "1412\n",
      "1413\n",
      "1414\n",
      "1415\n",
      "1416\n",
      "1417\n",
      "1418\n",
      "1419\n",
      "1420\n",
      "1421\n",
      "1422\n",
      "1423\n",
      "1424\n",
      "1425\n",
      "1426\n",
      "1427\n",
      "1428\n",
      "1429\n",
      "1430\n",
      "1431\n",
      "1432\n",
      "1433\n",
      "1434\n",
      "1435\n",
      "1436\n",
      "1437\n",
      "1438\n",
      "1439\n",
      "1440\n",
      "1441\n",
      "1442\n",
      "1443\n",
      "1444\n",
      "1445\n",
      "1446\n",
      "1447\n",
      "1448\n",
      "1449\n",
      "1450\n",
      "1451\n",
      "1452\n",
      "1453\n",
      "1454\n",
      "1455\n",
      "1456\n",
      "1457\n",
      "1458\n",
      "1459\n",
      "1460\n",
      "1461\n",
      "1462\n",
      "1463\n",
      "1464\n",
      "1465\n",
      "1466\n",
      "1467\n",
      "1468\n",
      "1469\n",
      "1470\n",
      "1471\n",
      "1472\n",
      "1473\n",
      "1474\n",
      "1475\n",
      "1476\n",
      "1477\n",
      "1478\n",
      "1479\n",
      "1480\n",
      "1481\n",
      "1482\n",
      "1483\n",
      "1484\n",
      "1485\n",
      "1486\n",
      "1487\n",
      "1488\n",
      "1489\n",
      "1490\n",
      "1491\n",
      "1492\n",
      "1493\n",
      "1494\n",
      "1495\n",
      "1496\n",
      "1497\n",
      "1498\n",
      "1499\n",
      "1500\n",
      "1501\n",
      "1502\n",
      "1503\n",
      "1504\n",
      "1505\n",
      "1506\n",
      "1507\n",
      "1508\n",
      "1509\n",
      "1510\n",
      "1511\n",
      "1512\n",
      "1513\n",
      "1514\n",
      "1515\n",
      "1516\n",
      "1517\n",
      "1518\n",
      "1519\n",
      "1520\n",
      "1521\n",
      "1522\n",
      "1523\n",
      "1524\n",
      "1525\n",
      "1526\n",
      "1527\n",
      "1528\n",
      "1529\n",
      "1530\n",
      "1531\n",
      "1532\n",
      "1533\n",
      "1534\n",
      "1535\n",
      "1536\n",
      "1537\n",
      "1538\n",
      "1539\n",
      "1540\n",
      "1541\n",
      "1542\n",
      "1543\n",
      "1544\n",
      "1545\n",
      "1546\n",
      "1547\n",
      "1548\n",
      "1549\n",
      "1550\n",
      "1551\n",
      "1552\n",
      "1553\n",
      "1554\n",
      "1555\n",
      "1556\n",
      "1557\n",
      "1558\n",
      "1559\n",
      "1560\n",
      "1561\n",
      "1562\n",
      "1563\n",
      "1564\n",
      "1565\n",
      "1566\n",
      "1567\n",
      "1568\n",
      "1569\n",
      "1570\n",
      "1571\n",
      "1572\n",
      "1573\n",
      "1574\n",
      "1575\n",
      "1576\n",
      "1577\n",
      "1578\n",
      "1579\n",
      "1580\n",
      "1581\n",
      "1582\n",
      "1583\n",
      "1584\n",
      "1585\n",
      "1586\n",
      "1587\n",
      "1588\n",
      "1589\n",
      "1590\n",
      "1591\n",
      "1592\n",
      "1593\n",
      "1594\n",
      "1595\n",
      "1596\n",
      "1597\n",
      "1598\n",
      "1599\n",
      "1600\n",
      "1601\n",
      "1602\n",
      "1603\n",
      "1604\n",
      "1605\n",
      "1606\n",
      "1607\n",
      "1608\n",
      "1609\n",
      "1610\n",
      "1611\n",
      "1612\n",
      "1613\n",
      "1614\n",
      "1615\n",
      "1616\n",
      "1617\n",
      "1618\n",
      "1619\n",
      "1620\n",
      "1621\n",
      "1622\n",
      "1623\n",
      "1624\n",
      "1625\n",
      "1626\n",
      "1627\n",
      "1628\n",
      "1629\n",
      "1630\n",
      "1631\n",
      "1632\n",
      "1633\n",
      "1634\n",
      "1635\n",
      "1636\n",
      "1637\n",
      "1638\n",
      "1639\n",
      "1640\n",
      "1641\n",
      "1642\n",
      "1643\n",
      "1644\n",
      "1645\n",
      "1646\n",
      "1647\n",
      "1648\n",
      "1649\n",
      "1650\n",
      "1651\n",
      "1652\n",
      "1653\n",
      "1654\n",
      "1655\n",
      "1656\n",
      "1657\n",
      "1658\n",
      "1659\n",
      "1660\n",
      "1661\n",
      "1662\n",
      "1663\n",
      "1664\n",
      "1665\n",
      "1666\n",
      "1667\n",
      "1668\n",
      "1669\n",
      "1670\n",
      "1671\n",
      "1672\n",
      "1673\n",
      "1674\n",
      "1675\n",
      "1676\n",
      "1677\n",
      "1678\n",
      "1679\n",
      "1680\n",
      "1681\n",
      "1682\n",
      "1683\n",
      "1684\n",
      "1685\n",
      "1686\n",
      "1687\n",
      "1688\n",
      "1689\n",
      "1690\n",
      "1691\n",
      "1692\n",
      "1693\n",
      "1694\n",
      "1695\n",
      "1696\n",
      "1697\n",
      "1698\n",
      "1699\n",
      "1700\n",
      "1701\n",
      "1702\n",
      "1703\n",
      "1704\n",
      "1705\n",
      "1706\n",
      "1707\n",
      "1708\n",
      "1709\n",
      "1710\n",
      "1711\n",
      "1712\n",
      "1713\n",
      "1714\n",
      "1715\n",
      "1716\n",
      "1717\n",
      "1718\n",
      "1719\n",
      "1720\n",
      "1721\n",
      "1722\n",
      "1723\n",
      "1724\n",
      "1725\n",
      "1726\n",
      "1727\n",
      "1728\n",
      "1729\n",
      "1730\n",
      "1731\n",
      "1732\n",
      "1733\n",
      "1734\n",
      "1735\n",
      "1736\n",
      "1737\n",
      "1738\n",
      "1739\n",
      "1740\n",
      "1741\n",
      "1742\n",
      "1743\n",
      "1744\n",
      "1745\n",
      "1746\n",
      "1747\n",
      "1748\n",
      "1749\n",
      "1750\n",
      "1751\n",
      "1752\n",
      "1753\n",
      "1754\n",
      "1755\n",
      "1756\n",
      "1757\n",
      "1758\n",
      "1759\n",
      "1760\n",
      "1761\n",
      "1762\n",
      "1763\n",
      "1764\n",
      "1765\n",
      "1766\n",
      "1767\n",
      "1768\n",
      "1769\n",
      "1770\n",
      "1771\n",
      "1772\n",
      "1773\n",
      "1774\n",
      "1775\n",
      "1776\n",
      "1777\n",
      "1778\n",
      "1779\n",
      "1780\n",
      "1781\n",
      "1782\n",
      "1783\n",
      "1784\n",
      "1785\n",
      "1786\n",
      "1787\n",
      "1788\n",
      "1789\n",
      "1790\n",
      "1791\n",
      "1792\n",
      "1793\n",
      "1794\n",
      "1795\n",
      "1796\n",
      "1797\n",
      "1798\n",
      "1799\n",
      "1800\n",
      "1801\n",
      "1802\n",
      "1803\n",
      "1804\n",
      "1805\n",
      "1806\n",
      "1807\n",
      "1808\n",
      "1809\n",
      "1810\n",
      "1811\n",
      "1812\n",
      "1813\n",
      "1814\n",
      "1815\n",
      "1816\n",
      "1817\n",
      "1818\n",
      "1819\n",
      "1820\n",
      "1821\n",
      "1822\n",
      "1823\n",
      "1824\n",
      "1825\n",
      "1826\n",
      "1827\n",
      "1828\n",
      "1829\n",
      "1830\n",
      "1831\n",
      "1832\n",
      "1833\n",
      "1834\n",
      "1835\n",
      "1836\n",
      "1837\n",
      "1838\n",
      "1839\n",
      "1840\n",
      "1841\n",
      "1842\n",
      "1843\n",
      "1844\n",
      "1845\n",
      "1846\n",
      "1847\n",
      "1848\n",
      "1849\n",
      "1850\n",
      "1851\n",
      "1852\n",
      "1853\n",
      "1854\n",
      "1855\n",
      "1856\n",
      "1857\n",
      "1858\n",
      "1859\n",
      "1860\n",
      "1861\n",
      "1862\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1863\n",
      "1864\n",
      "1865\n",
      "1866\n",
      "1867\n",
      "1868\n",
      "1869\n",
      "1870\n",
      "1871\n",
      "1872\n",
      "1873\n",
      "1874\n",
      "1875\n",
      "1876\n",
      "1877\n",
      "1878\n",
      "1879\n",
      "1880\n",
      "1881\n",
      "1882\n",
      "1883\n",
      "1884\n",
      "1885\n",
      "1886\n",
      "1887\n",
      "1888\n",
      "1889\n",
      "1890\n",
      "1891\n",
      "1892\n",
      "1893\n",
      "1894\n",
      "1895\n",
      "1896\n",
      "1897\n",
      "1898\n",
      "1899\n",
      "1900\n",
      "1901\n",
      "1902\n",
      "1903\n",
      "1904\n",
      "1905\n",
      "1906\n",
      "1907\n",
      "1908\n",
      "1909\n",
      "1910\n",
      "1911\n",
      "1912\n",
      "1913\n",
      "1914\n",
      "1915\n",
      "1916\n",
      "1917\n",
      "1918\n",
      "1919\n",
      "1920\n",
      "1921\n",
      "1922\n",
      "1923\n",
      "1924\n",
      "1925\n",
      "1926\n",
      "1927\n",
      "1928\n",
      "1929\n",
      "1930\n",
      "1931\n",
      "1932\n",
      "1933\n",
      "1934\n",
      "1935\n",
      "1936\n",
      "1937\n",
      "1938\n",
      "1939\n",
      "1940\n",
      "1941\n",
      "1942\n",
      "1943\n",
      "1944\n",
      "1945\n",
      "1946\n",
      "1947\n",
      "1948\n",
      "1949\n",
      "1950\n",
      "1951\n",
      "1952\n",
      "1953\n",
      "1954\n",
      "1955\n",
      "1956\n",
      "1957\n",
      "1958\n",
      "1959\n",
      "1960\n",
      "1961\n",
      "1962\n",
      "1963\n",
      "1964\n",
      "1965\n",
      "1966\n",
      "1967\n",
      "1968\n",
      "1969\n",
      "1970\n",
      "1971\n",
      "1972\n",
      "1973\n",
      "1974\n",
      "1975\n",
      "1976\n",
      "1977\n",
      "1978\n",
      "1979\n",
      "1980\n",
      "1981\n",
      "1982\n",
      "1983\n",
      "1984\n",
      "1985\n",
      "1986\n",
      "1987\n",
      "1988\n",
      "1989\n",
      "1990\n",
      "1991\n",
      "1992\n",
      "1993\n",
      "1994\n",
      "1995\n",
      "1996\n",
      "1997\n",
      "1998\n",
      "1999\n",
      "2000\n",
      "2001\n",
      "2002\n",
      "2003\n",
      "2004\n",
      "2005\n",
      "2006\n",
      "2007\n",
      "2008\n",
      "2009\n",
      "2010\n",
      "2011\n",
      "2012\n",
      "2013\n",
      "2014\n",
      "2015\n",
      "2016\n",
      "2017\n",
      "2018\n",
      "2019\n",
      "2020\n",
      "2021\n",
      "2022\n",
      "2023\n",
      "2024\n",
      "2025\n"
     ]
    }
   ],
   "source": [
    "img_list = os.listdir('/home/shivang/Desktop/CSE_523/celebA_32/')\n",
    "cur_dir = '/home/shivang/Desktop/CSE_523/celebA_32/'\n",
    "imgs = []\n",
    "batches = []\n",
    "batch_size = 100\n",
    "c = 0\n",
    "b = 1\n",
    "arr = np.zeros((batch_size, 3, 32, 32))\n",
    "for i in img_list:  \n",
    "    new_img = scipy.misc.imread(cur_dir + i, mode='RGB')\n",
    "    arr[c,:] = new_img.T\n",
    "    c = c + 1\n",
    "    if c == 100:\n",
    "        batches.append(arr)\n",
    "        print(b)\n",
    "        b = b + 1\n",
    "        c = 0\n",
    "        \n",
    "batches.append(arr[0:c, :])\n",
    "    #scipy.misc.imsave(resize_dir + i, new_img)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_epochs = 50\n",
    "batch_size = 100\n",
    "l_r = 0.001\n",
    "\n",
    "class AE(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(AE, self).__init__()\n",
    "        self.encoder = nn.Sequential(\n",
    "#             nn.Linear(3072, 1024), \n",
    "#             nn.ReLU(True), \n",
    "#             nn.Linear(1024, 256), \n",
    "#             nn.ReLU(True), \n",
    "#             nn.Linear(256,64)\n",
    "            \n",
    "#             nn.Conv2d(3, 8, 3, stride = 2, padding = 1), #8, 16, 16\n",
    "#             nn.MaxPool2d(2, stride=2), #8, 8, 8\n",
    "#             nn.LeakyReLU(0.2),\n",
    "#             nn.Conv2d(8, 16, 3, stride = 2, padding = 1), #16, 4, 4\n",
    "#             nn.MaxPool2d(2, stride = 1), #16, 3, 3\n",
    "#             #nn.Sigmoid()\n",
    "#             nn.LeakyReLU(0.2)\n",
    "            \n",
    "            nn.Conv2d(3, 32, 4, stride = 2, padding = 1, bias = False), #32, 16, 16\n",
    "            nn.LeakyReLU(0.2, False),\n",
    "            nn.Conv2d(32, 64, 4, stride = 2, padding = 1, bias = False), #64, 8, 8\n",
    "            nn.BatchNorm2d(64),\n",
    "            nn.LeakyReLU(0.2, False),\n",
    "            nn.Conv2d(64, 128, 4, stride = 2, padding = 1, bias = False), #128, 4, 4\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.LeakyReLU(0.2, False),\n",
    "            nn.Conv2d(128, 128, 4, stride = 4, padding = 0, bias = False), #128, 1, 1\n",
    "            nn.Sigmoid()            \n",
    "        )\n",
    "        self.decoder = nn.Sequential(\n",
    "#             nn.Linear(64, 256),\n",
    "#             nn.ReLU(True),\n",
    "#             nn.Linear(256, 1024),\n",
    "#             nn.ReLU(True),\n",
    "#             nn.Linear(1024, 3072),\n",
    "#             nn.Tanh()\n",
    "            \n",
    "#             nn.ConvTranspose2d(16, 16, 2, stride=3, padding=0), #16, 8, 8\n",
    "#             nn.LeakyReLU(0.2),\n",
    "#             nn.ConvTranspose2d(16, 8, 2, stride=2, padding=0),#8 , 16, 16\n",
    "#             nn.LeakyReLU(0.2),\n",
    "#             nn.ConvTranspose2d(8, 3, 2, stride=2, padding=0), #3, 32, 32\n",
    "#             #nn.Tanh()\n",
    "#             #nn.Hardtanh(0, 1)\n",
    "#             nn.LeakyReLU(0.2)\n",
    "            \n",
    "            nn.ConvTranspose2d(128, 128, 4, 1, 0, bias = False), #128, 4, 4\n",
    "            nn.BatchNorm2d(128),\n",
    "            nn.ReLU(True),\n",
    "            nn.ConvTranspose2d(128, 64, 4, 2, 1, bias = False), #64, 8, 8\n",
    "            nn.BatchNorm2d(64),\n",
    "            nn.ReLU(True),\n",
    "            nn.ConvTranspose2d(64, 32, 4, 2, 1, bias = False), #32, 16, 16\n",
    "            nn.BatchNorm2d(32),\n",
    "            nn.ReLU(True),\n",
    "            nn.ConvTranspose2d(32, 32, 4, 2, 1, bias = False), #32, 32, 32\n",
    "            nn.BatchNorm2d(32),\n",
    "            nn.ReLU(True),\n",
    "            nn.ConvTranspose2d(32, 3, 3, 1, 1, bias = False), #3, 32, 32\n",
    "            #nn.Hardtanh(0, 1)\n",
    "        )\n",
    "        \n",
    "    def forward(self, x):\n",
    "        x = self.encoder(x)\n",
    "        x = self.decoder(x)\n",
    "        return x\n",
    "    \n",
    "def show(img):\n",
    "    npimg = img.numpy()\n",
    "    print(\"npimg.shape = \" + str(npimg.shape))\n",
    "    #plt.imshow(np.reshape(npimg, (32,32,3)), interpolation='nearest')\n",
    "    plt.imshow(np.transpose(npimg, (2,1,0)), interpolation='nearest')\n",
    "    #plt.imshow(npimg, interpolation='nearest')\n",
    "\n",
    "    \n",
    "ae = AE()\n",
    "loss_calculator = nn.MSELoss()\n",
    "#loss_calculator = nn.BCELoss()\n",
    "adam_optimize = torch.optim.Adam(ae.parameters(), lr=l_r) #\"\"\", weight_decay=1e-3\"\"\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Loss after Epoch 1  =  4344.02832031\n",
      "Loss after Epoch 2  =  633.363708496\n",
      "Loss after Epoch 3  =  344.511993408\n",
      "Loss after Epoch 4  =  185.063262939\n",
      "Loss after Epoch 5  =  131.377227783\n",
      "Out.shape = torch.Size([100, 3, 32, 32])\n",
      "Out.shape after = torch.Size([100, 3, 32, 32])\n",
      "npimg.shape = (3, 342, 342)\n",
      "Loss after Epoch 6  =  108.918785095\n",
      "Loss after Epoch 7  =  91.9905090332\n",
      "Loss after Epoch 8  =  72.6620559692\n",
      "Loss after Epoch 9  =  57.2812957764\n",
      "Loss after Epoch 10  =  42.819316864\n",
      "Out.shape = torch.Size([100, 3, 32, 32])\n",
      "Out.shape after = torch.Size([100, 3, 32, 32])\n",
      "npimg.shape = (3, 342, 342)\n",
      "Loss after Epoch 11  =  32.9488792419\n",
      "Loss after Epoch 12  =  29.9937114716\n",
      "Loss after Epoch 13  =  33.4008712769\n",
      "Loss after Epoch 14  =  21.9131011963\n",
      "Loss after Epoch 15  =  17.1835575104\n",
      "Out.shape = torch.Size([100, 3, 32, 32])\n",
      "Out.shape after = torch.Size([100, 3, 32, 32])\n",
      "npimg.shape = (3, 342, 342)\n",
      "Loss after Epoch 16  =  15.1014890671\n",
      "Loss after Epoch 17  =  12.9688653946\n",
      "Loss after Epoch 18  =  11.201716423\n",
      "Loss after Epoch 19  =  10.3102111816\n",
      "Loss after Epoch 20  =  9.06547451019\n",
      "Out.shape = torch.Size([100, 3, 32, 32])\n",
      "Out.shape after = torch.Size([100, 3, 32, 32])\n",
      "npimg.shape = (3, 342, 342)\n",
      "Loss after Epoch 21  =  8.20353889465\n",
      "Loss after Epoch 22  =  7.82584047318\n",
      "Loss after Epoch 23  =  6.77521753311\n",
      "Loss after Epoch 24  =  6.33275508881\n",
      "Loss after Epoch 25  =  8.42912006378\n",
      "Out.shape = torch.Size([100, 3, 32, 32])\n",
      "Out.shape after = torch.Size([100, 3, 32, 32])\n",
      "npimg.shape = (3, 342, 342)\n",
      "Loss after Epoch 26  =  7.21813821793\n",
      "Loss after Epoch 27  =  5.57916259766\n",
      "Loss after Epoch 28  =  6.21641254425\n",
      "Loss after Epoch 29  =  4.81422567368\n",
      "Loss after Epoch 30  =  4.68453502655\n",
      "Out.shape = torch.Size([100, 3, 32, 32])\n",
      "Out.shape after = torch.Size([100, 3, 32, 32])\n",
      "npimg.shape = (3, 342, 342)\n",
      "Loss after Epoch 31  =  4.40020608902\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-45-4e92cc5af792>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m         \u001b[0mloss_val\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mloss_calculator\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     11\u001b[0m         \u001b[0madam_optimize\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 12\u001b[0;31m         \u001b[0mloss_val\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     13\u001b[0m         \u001b[0madam_optimize\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     14\u001b[0m     \u001b[0;32mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"Loss after Epoch \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mepoch\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0;34m\"  =  \"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloss_val\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/shivang/.local/lib/python2.7/site-packages/torch/autograd/variable.pyc\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(self, gradient, retain_graph, create_graph, retain_variables)\u001b[0m\n\u001b[1;32m    165\u001b[0m                 \u001b[0mVariable\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m         \"\"\"\n\u001b[0;32m--> 167\u001b[0;31m         \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mautograd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgradient\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcreate_graph\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mretain_variables\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    168\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    169\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregister_hook\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mhook\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/home/shivang/.local/lib/python2.7/site-packages/torch/autograd/__init__.pyc\u001b[0m in \u001b[0;36mbackward\u001b[0;34m(variables, grad_variables, retain_graph, create_graph, retain_variables)\u001b[0m\n\u001b[1;32m     97\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     98\u001b[0m     Variable._execution_engine.run_backward(\n\u001b[0;32m---> 99\u001b[0;31m         variables, grad_variables, retain_graph)\n\u001b[0m\u001b[1;32m    100\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    101\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fd010ee9450>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "random.shuffle(batches)\n",
    "train = batches[0:len(batches)/7]\n",
    "test = batches[len(batches)/7 : len(batches)]\n",
    "\n",
    "for epoch in range(1, num_epochs + 1):\n",
    "    for d in train:\n",
    "        i = d\n",
    "        i = Variable(torch.Tensor(i))\n",
    "        o = ae(i)\n",
    "        loss_val = loss_calculator(o, i)\n",
    "        adam_optimize.zero_grad()\n",
    "        loss_val.backward()\n",
    "        adam_optimize.step()\n",
    "    print(\"Loss after Epoch \" + str(epoch) + \"  =  \" + str(loss_val.data[0]))\n",
    "    if epoch%5==0:\n",
    "        out = o.data\n",
    "        print(\"Out.shape = \" + str(out.shape))\n",
    "        out = out.view(out.size(0), 3, 32, 32)\n",
    "        print(\"Out.shape after = \" + str(out.shape))\n",
    "        show(make_grid(out, nrow=10,normalize=True))\n",
    "\n",
    "torch.save(ae.state_dict(), './celeb_32_ae.pth')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}