Hand_Gesture_Recognition.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7b61dba9",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np \n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import tensorflow as tf\n",
    "from tensorflow import keras\n",
    "\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Conv2D, MaxPool2D, Flatten, Dense, Dropout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "88b70f61-08e5-46c3-b5de-39a8ab632443",
   "metadata": {},
   "outputs": [],
   "source": [
    "from tensorflow.keras.utils import plot_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2d689f2a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "7ce1b605-fb4f-4092-8e82-5b5bdcc5a7dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "beed85a5-78eb-4c05-81a1-03db056677ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "36210ff0",
   "metadata": {},
   "outputs": [],
   "source": [
    "train_dir = r'C:\\Users\\jivit\\Documents\\Datasets\\kaggle ASL alphabets 25-09-2021\\asl_alphabet_train\\asl_alphabet_train'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "24d32de8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories = os.listdir(train_dir)\n",
    "len(categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "88630614",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['A',\n",
       " 'B',\n",
       " 'C',\n",
       " 'D',\n",
       " 'del',\n",
       " 'E',\n",
       " 'F',\n",
       " 'G',\n",
       " 'H',\n",
       " 'I',\n",
       " 'J',\n",
       " 'K',\n",
       " 'L',\n",
       " 'M',\n",
       " 'N',\n",
       " 'nothing',\n",
       " 'O',\n",
       " 'P',\n",
       " 'Q',\n",
       " 'R',\n",
       " 'S',\n",
       " 'space',\n",
       " 'T',\n",
       " 'U',\n",
       " 'V',\n",
       " 'W',\n",
       " 'X',\n",
       " 'Y',\n",
       " 'Z']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5e2f7ca1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total count of train images is: 87000\n"
     ]
    }
   ],
   "source": [
    "count = 0\n",
    "train_images_names_and_paths = {}\n",
    "\n",
    "for i in categories:\n",
    "    train_images_names_and_paths[i] = os.listdir(train_dir + '/' + i)\n",
    "    count += len(os.listdir(train_dir + '/' + i))\n",
    "    \n",
    "print('total count of train images is:', count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "00dee337",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\jivit\\\\Documents\\\\Datasets\\\\kaggle ASL alphabets 25-09-2021\\\\asl_alphabet_train\\\\asl_alphabet_train/A/A1.jpg'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_dir + '/' + list(train_images_names_and_paths.keys())[0] + '/' + list(train_images_names_and_paths.values())[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "85d5d122",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[252,   6,   0],\n",
       "        [248,   2,   0],\n",
       "        [243,   0,   4],\n",
       "        ...,\n",
       "        [247,   0,   7],\n",
       "        [250,   0,   0],\n",
       "        [251,   3,   0]],\n",
       "\n",
       "       [[249,   3,   0],\n",
       "        [234,   2,   0],\n",
       "        [207,   5,  12],\n",
       "        ...,\n",
       "        [195,   3,  14],\n",
       "        [211,   3,   5],\n",
       "        [224,   8,   3]],\n",
       "\n",
       "       [[246,   0,   6],\n",
       "        [210,   5,  14],\n",
       "        [147,  27,  38],\n",
       "        ...,\n",
       "        [248, 175, 191],\n",
       "        [255, 165, 174],\n",
       "        [163,   8,  12]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[245,   1,   9],\n",
       "        [193,   5,  11],\n",
       "        [203, 127, 128],\n",
       "        ...,\n",
       "        [159, 129, 142],\n",
       "        [227, 123, 134],\n",
       "        [148,  10,  18]],\n",
       "\n",
       "       [[247,   0,   0],\n",
       "        [218,   7,  10],\n",
       "        [255, 119, 121],\n",
       "        ...,\n",
       "        [226, 123, 130],\n",
       "        [255, 113, 117],\n",
       "        [176,  10,  11]],\n",
       "\n",
       "       [[251,   1,   0],\n",
       "        [227,   5,   5],\n",
       "        [173,   9,  10],\n",
       "        ...,\n",
       "        [150,  13,  17],\n",
       "        [179,  11,  10],\n",
       "        [190,   9,   7]]], dtype=uint8)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# img = plt.imread(train_dir + '/' + list(train_images_names_and_paths.keys())[0] + '/' + list(train_images_names_and_paths.values())[0][0], 0)\n",
    "img = cv2.imread(train_dir + '/' + list(train_images_names_and_paths.keys())[0] + '/' + list(train_images_names_and_paths.values())[0][1])\n",
    "img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "5d84d984",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(200, 200, 3)"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9b5c9331-ccda-4fc2-8d6f-f88ad9878391",
   "metadata": {},
   "outputs": [],
   "source": [
    "def shs(img):\n",
    "    img = img.astype('uint8')\n",
    "    # print(img.dtype)\n",
    "    # img = cv2.resize(img,(96,96))\n",
    "    new_img = img\n",
    "    # print(new_img.shape)\n",
    "    img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)\n",
    "    # print(img.shape)\n",
    "    blur = cv2.GaussianBlur(img,(5,5),0)\n",
    "    otsu_threshold, image_result = cv2.threshold(blur, 0, 255, cv2.THRESH_BINARY_INV + cv2.THRESH_OTSU,)\n",
    "    img2 = cv2.medianBlur(image_result, 15, 0)\n",
    "    masked = cv2.bitwise_and(new_img, new_img, mask = img2)\n",
    "    # print(type(masked))\n",
    "    # print(masked)\n",
    "    # masked = masked/.255\n",
    "    masked = masked.astype('float32')\n",
    "    # print(masked)\n",
    "    # print(masked.dtype)\n",
    "    return masked"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "66be8cf8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1eaba13d908>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(shs(img).astype('uint8'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "a14023eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 87000 images belonging to 29 classes.\n"
     ]
    }
   ],
   "source": [
    "data_generator = tf.keras.preprocessing.image.ImageDataGenerator(rescale = 1/255, preprocessing_function = shs, dtype= np.uint8)\n",
    "\n",
    "train_generated = data_generator.flow_from_directory(train_dir,                       \n",
    "                                                     target_size = (200,200),         \n",
    "                                                     class_mode = 'categorical',\n",
    "                                                     color_mode = 'rgb',\n",
    "                                                     shuffle = True,\n",
    "                                                     batch_size = 32                  \n",
    "                                                                                      \n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c6e24d2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<keras.preprocessing.image.DirectoryIterator at 0x1eaba19e160>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_generated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "aef3865d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'A': 0,\n",
       " 'B': 1,\n",
       " 'C': 2,\n",
       " 'D': 3,\n",
       " 'E': 4,\n",
       " 'F': 5,\n",
       " 'G': 6,\n",
       " 'H': 7,\n",
       " 'I': 8,\n",
       " 'J': 9,\n",
       " 'K': 10,\n",
       " 'L': 11,\n",
       " 'M': 12,\n",
       " 'N': 13,\n",
       " 'O': 14,\n",
       " 'P': 15,\n",
       " 'Q': 16,\n",
       " 'R': 17,\n",
       " 'S': 18,\n",
       " 'T': 19,\n",
       " 'U': 20,\n",
       " 'V': 21,\n",
       " 'W': 22,\n",
       " 'X': 23,\n",
       " 'Y': 24,\n",
       " 'Z': 25,\n",
       " 'del': 26,\n",
       " 'nothing': 27,\n",
       " 'space': 28}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_generated.class_indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c502294f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1eabb65d390>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img = plt.imread(train_dir + '/' + list(train_images_names_and_paths.keys())[1] + '/' + list(train_images_names_and_paths.values())[1][0])\n",
    "plt.imshow(img)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "89e1a902",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Num GPUs Available:  1\n"
     ]
    }
   ],
   "source": [
    "print(\"Num GPUs Available: \", len(tf.config.list_physical_devices('GPU')))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8fe4045a",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def get_model():\n",
    "    \n",
    "    tf.debugging.set_log_device_placement(True)\n",
    "    SIZE=64\n",
    "    channels = 3\n",
    "    model = keras.models.Sequential([\n",
    "           # keras.layers.experimental.preprocessing.Rescaling(1./255, input_shape=(SIZE, SIZE, channels)),\n",
    "            keras.layers.Conv2D( 32, kernel_size = 5, input_shape = (200,200,3), activation = 'relu'),\n",
    "            keras.layers.MaxPool2D(pool_size = (2,2)),\n",
    "\n",
    "            keras.layers.Conv2D( 64, kernel_size = 3, activation = 'relu'),\n",
    "            keras.layers.MaxPool2D(pool_size = (2,2)),\n",
    "            \n",
    "            keras.layers.Conv2D( 64, kernel_size = 3, activation = 'relu'),\n",
    "            keras.layers.MaxPool2D(pool_size = (2,2)),\n",
    "            \n",
    "\n",
    "            keras.layers.Conv2D( 128, kernel_size = 3, activation = 'relu'),\n",
    "            keras.layers.MaxPool2D(pool_size = (2,2)),\n",
    "\n",
    "            keras.layers.Flatten(),\n",
    "\n",
    "            keras.layers.Dense(512, activation = 'relu'),\n",
    "            keras.layers.Dropout(0.4),\n",
    "            keras.layers.Dense(256, activation = 'relu'),\n",
    "            keras.layers.Dropout(0.6),\n",
    "            keras.layers.Dense(29, activation = 'softmax')   \n",
    "            ]) \n",
    "    model.compile(\n",
    "    optimizer = 'adam',\n",
    "    loss = 'categorical_crossentropy',\n",
    "    metrics=[tf.keras.metrics.CategoricalCrossentropy()]\n",
    "    )\n",
    "\n",
    "    \n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "16c1d8dc-eee3-480a-b00c-9e17bb21d475",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n"
     ]
    }
   ],
   "source": [
    "model = get_model()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "50c09aa1",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op StaticRegexFullMatch in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Select in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op StringJoin in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ShardedFilename in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op VarIsInitializedOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op SaveV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Pack in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op MergeV2Checkpoints in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "INFO:tensorflow:Assets written to: final_v3\\assets\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n"
     ]
    }
   ],
   "source": [
    "model = get_model()\n",
    "\n",
    "model.fit(train_generated, epochs = 5)\n",
    "\n",
    "model.save(\"final_v3\")\n",
    "\n",
    "reconstructed_model = keras.models.load_model(\"final_v3\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "f82c30d4-beb7-421c-99a5-285c5abba3af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pydot in c:\\users\\jivit\\anaconda3\\envs\\gpu2\\lib\\site-packages (1.4.2)\n",
      "Requirement already satisfied: pyparsing>=2.1.4 in c:\\users\\jivit\\anaconda3\\envs\\gpu2\\lib\\site-packages (from pydot) (2.4.7)\n"
     ]
    }
   ],
   "source": [
    "!pip3 install pydot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "648773a1-5094-453d-8d55-bb4a07c4e258",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a013bbca-2f3a-4bd3-97d8-314a6aceb80f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "('You must install pydot (`pip install pydot`) and install graphviz (see instructions at https://graphviz.gitlab.io/download/) ', 'for plot_model/model_to_dot to work.')\n"
     ]
    }
   ],
   "source": [
    "plot_model(model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "5f5e2e27",
   "metadata": {},
   "outputs": [],
   "source": [
    "test_dir = r'C:\\Users\\jivit\\Documents\\Datasets\\kaggle ASL alphabets 25-09-2021\\asl_alphabet_test'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "91eacf3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_categories = os.listdir(test_dir)\n",
    "len(test_categories)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2116a3cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total count of test images is: 28\n"
     ]
    }
   ],
   "source": [
    "count1 = 0\n",
    "test_images_names_and_paths = {}\n",
    "\n",
    "for i in test_categories:\n",
    "    test_images_names_and_paths[i] = os.listdir(test_dir + '\\\\' + i)\n",
    "    count1 += len(os.listdir(test_dir + '\\\\' + i))\n",
    "    \n",
    "print('total count of test images is:', count1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "37f4e596",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\Users\\\\jivit\\\\Documents\\\\Datasets\\\\kaggle ASL alphabets 25-09-2021\\\\asl_alphabet_test/asl_alphabet_test/A_test.jpg'"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_dir + '/' + list(test_images_names_and_paths.keys())[0] + '/' + list(test_images_names_and_paths.values())[0][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "4e1a08ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[  1,   1, 255],\n",
       "        [  0,   0, 250],\n",
       "        [  2,   0, 247],\n",
       "        ...,\n",
       "        [  5,   0, 241],\n",
       "        [  1,   1, 245],\n",
       "        [  0,   5, 249]],\n",
       "\n",
       "       [[  2,   1, 252],\n",
       "        [  5,   3, 237],\n",
       "        [ 11,   7, 208],\n",
       "        ...,\n",
       "        [ 16,   7, 196],\n",
       "        [  2,   3, 209],\n",
       "        [  0,   5, 219]],\n",
       "\n",
       "       [[  1,   0, 241],\n",
       "        [ 12,   8, 207],\n",
       "        [ 82,  76, 186],\n",
       "        ...,\n",
       "        [120, 112, 189],\n",
       "        [115, 112, 243],\n",
       "        [ 12,  12, 170]],\n",
       "\n",
       "       ...,\n",
       "\n",
       "       [[  4,   0, 240],\n",
       "        [ 10,   5, 193],\n",
       "        [ 69,  68, 144],\n",
       "        ...,\n",
       "        [133, 129, 144],\n",
       "        [131, 128, 219],\n",
       "        [ 13,  14, 140]],\n",
       "\n",
       "       [[  1,   0, 248],\n",
       "        [ 14,  11, 222],\n",
       "        [ 56,  54, 190],\n",
       "        ...,\n",
       "        [129, 129, 219],\n",
       "        [116, 119, 252],\n",
       "        [  9,  16, 169]],\n",
       "\n",
       "       [[  2,   1, 252],\n",
       "        [  2,   2, 224],\n",
       "        [ 11,   8, 173],\n",
       "        ...,\n",
       "        [ 11,  12, 138],\n",
       "        [ 12,  17, 173],\n",
       "        [  2,  10, 179]]], dtype=uint8)"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "img1 = plt.imread(test_dir + '/' + list(test_images_names_and_paths.keys())[0] + '/' + list(test_images_names_and_paths.values())[0][0])\n",
    "img1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "dd8e6104",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1a298d37c50>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(img1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "addc85f8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 28 images belonging to 1 classes.\n"
     ]
    }
   ],
   "source": [
    "\n",
    "\n",
    "data_generator1 = tf.keras.preprocessing.image.ImageDataGenerator(rescale = 1/255)\n",
    "\n",
    "test_generated = data_generator1.flow_from_directory(test_dir,                       # path of images\n",
    "                                                     target_size = (200,200),         # size of image\n",
    "                                                     class_mode = 'categorical',\n",
    "                                                     color_mode = 'rgb',\n",
    "                                                     shuffle = True,\n",
    "                                                     batch_size = 32                  # hyperparameter that defines the number of samples\n",
    "                                                                                      #to work through before updating the internal model parameters\n",
    "                                                    )\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "6b575329",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1a298c3f080>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "img2 = plt.imread(test_dir + '/' + list(test_images_names_and_paths.keys())[0] + '/' + list(test_images_names_and_paths.values())[0][27])\n",
    "img2\n",
    "plt.imshow(img2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4b8feb8b",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op TensorDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op FlatMapDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op PrefetchDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AnonymousIteratorV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op MakeIterator in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op AnonymousIteratorV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op MakeIterator in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op DeleteIterator in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op __inference_test_function_32192 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "1/1 [==============================] - 1s 965ms/step - loss: 855.4040 - categorical_crossentropy: 855.4040\n",
      "Executing op DeleteIterator in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "test loss, test acc: [855.4039916992188, 855.4039916992188]\n"
     ]
    }
   ],
   "source": [
    "results = reconstructed_model.evaluate(test_generated)\n",
    "print(\"test loss, test acc:\", results)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "f02128cc",
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RandomUniform in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Sub in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Mul in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AddV2 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RestoreV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DestroyResourceOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Fill in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op VarHandleOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n"
     ]
    }
   ],
   "source": [
    "reconstructed_model = keras.models.load_model(\"final_v3\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "e8d4321d",
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'NoneType' object has no attribute 'remove'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-34-68e7a3e71e70>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mcategories\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcategories\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mremove\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'del'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mAttributeError\u001b[0m: 'NoneType' object has no attribute 'remove'"
     ]
    }
   ],
   "source": [
    "categories = categories.remove('del')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "34b87ada",
   "metadata": {},
   "outputs": [],
   "source": [
    "f = train_generated.class_indices"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "28f58591",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "765eff45",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 200, 200, 3)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "test_image1 = plt.imread(test_dir + '/' + list(test_images_names_and_paths.keys())[0] + '/' + list(test_images_names_and_paths.values())[0][3])\n",
    "test_image = shs(test_image1)\n",
    "plt.imshow(test_image.astype('uint8'))\n",
    "test_image = np.array(test_image1).reshape( -1, 200,200, 3)\n",
    "print(test_image.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "6537c20a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Executing op ReadVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op _EagerConst in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op RangeDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op RepeatDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op MapDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op PrefetchDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op FlatMapDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op TensorDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op RepeatDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op ZipDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op ParallelMapDatasetV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op OptionsDataset in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op AssignVariableOp in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op AnonymousIteratorV2 in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op MakeIterator in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "Executing op __inference_predict_function_34120 in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op Identity in device /job:localhost/replica:0/task:0/device:GPU:0\n",
      "Executing op DeleteIterator in device /job:localhost/replica:0/task:0/device:CPU:0\n",
      "[[0. 0. 0. 1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.\n",
      "  0. 0. 0. 0. 0.]] 3\n",
      "Labels:  {'A': 0, 'B': 1, 'C': 2, 'D': 3, 'E': 4, 'F': 5, 'G': 6, 'H': 7, 'I': 8, 'J': 9, 'K': 10, 'L': 11, 'M': 12, 'N': 13, 'O': 14, 'P': 15, 'Q': 16, 'R': 17, 'S': 18, 'T': 19, 'U': 20, 'V': 21, 'W': 22, 'X': 23, 'Y': 24, 'Z': 25, 'del': 26, 'nothing': 27, 'space': 28}\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.subplot(1,1,1)\n",
    "ax.imshow(test_image.reshape(200,200,3))\n",
    "\n",
    "prediction = reconstructed_model.predict(test_image)\n",
    "print(prediction, np.argmax(prediction))\n",
    "print(\"Labels: \",f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2e46fa4",
   "metadata": {},
   "outputs": [],
   "source": [
    "f"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}