TrainingFacenetRemontada.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "8kc6LRT3n1zs"
   },
   "source": [
    "## RE-TRAINING THE FACENET MODEL USING BLACK-FACES"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4kGn24yZZfd7"
   },
   "source": [
    "## The Arcface loss class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install tensorflow==2.4.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "id": "_7G46HMXZeuF"
   },
   "outputs": [],
   "source": [
    "\n",
    "from tensorflow import keras \n",
    "\n",
    "from keras import regularizers\n",
    "\n",
    "\n",
    "\n",
    "# Original paper: https://arxiv.org/pdf/1801.07698.pdf\n",
    "# Original implementation: https://github.com/deepinsight/insightface\n",
    "# Adapted from tensorflow implementation: https://github.com/luckycallor/InsightFace-tensorflow\n",
    "\n",
    "from keras import backend as K\n",
    "from keras.layers import Layer\n",
    "from keras.metrics import categorical_accuracy\n",
    "\n",
    "import tensorflow as tf\n",
    "import math as m\n",
    "\n",
    "\n",
    "class ArcFace(Layer):\n",
    "    '''Custom Keras layer implementing ArcFace including:\n",
    "    1. Generation of embeddings\n",
    "    2. Loss function\n",
    "    3. Accuracy function\n",
    "    '''\n",
    "\n",
    "    def __init__(self, output_dim, class_num, margin=0.5, scale=64., **kwargs):\n",
    "        self.output_dim = output_dim\n",
    "        self.class_num = class_num\n",
    "        self.margin = margin\n",
    "        self.s = scale\n",
    "\n",
    "        self.cos_m = tf.math.cos(margin)\n",
    "        self.sin_m = tf.math.sin(margin)\n",
    "        self.mm = self.sin_m * margin\n",
    "        self.threshold = tf.math.cos(tf.constant(m.pi) - margin)\n",
    "        super(ArcFace, self).__init__(**kwargs)\n",
    "\n",
    "\n",
    "    def build(self, input_shape):\n",
    "        # Create a trainable weight variable for this layer.\n",
    "        self.kernel = self.add_weight(name='kernel', \n",
    "                                      shape=(input_shape[1], self.class_num),\n",
    "                                      initializer='glorot_normal',\n",
    "                                      trainable=True)\n",
    "        super(ArcFace, self).build(input_shape)  # Be sure to call this at the end\n",
    "\n",
    "\n",
    "    def call(self, x):\n",
    "        embeddings = tf.nn.l2_normalize(x, axis=1, name='normed_embeddings')\n",
    "        weights = tf.nn.l2_normalize(self.kernel, axis=0, name='normed_weights')\n",
    "        cos_t = tf.matmul(embeddings, weights, name='cos_t')\n",
    "        return cos_t\n",
    "\n",
    "\n",
    "    def get_logits(self, labels, y_pred):\n",
    "        cos_t = y_pred\n",
    "        cos_t2 = tf.square(cos_t, name='cos_2')\n",
    "        sin_t2 = tf.subtract(1., cos_t2, name='sin_2')\n",
    "        sin_t = tf.sqrt(sin_t2, name='sin_t')\n",
    "        cos_mt = self.s * tf.subtract(tf.multiply(cos_t, self.cos_m), tf.multiply(sin_t, self.sin_m), name='cos_mt')\n",
    "        cond_v = cos_t - self.threshold\n",
    "        cond = tf.cast(tf.nn.relu(cond_v, name='if_else'), dtype=tf.bool)\n",
    "        keep_val = self.s*(cos_t - self.mm)\n",
    "        cos_mt_temp = tf.where(cond, cos_mt, keep_val)\n",
    "        mask = tf.one_hot(labels, depth=self.class_num, name='one_hot_mask')\n",
    "        inv_mask = tf.subtract(1., mask, name='inverse_mask')\n",
    "        s_cos_t = tf.multiply(self.s, cos_t, name='scalar_cos_t')\n",
    "        output = tf.add(tf.multiply(s_cos_t, inv_mask), tf.multiply(cos_mt_temp, mask), name='arcface_logits')\n",
    "        return output\n",
    "\n",
    "\n",
    "    def loss(self, y_true, y_pred):\n",
    "        labels = K.argmax(y_true, axis=-1)\n",
    "        logits = self.get_logits(labels, y_pred)\n",
    "        loss = tf.losses.sparse_softmax_cross_entropy(labels=labels, logits=logits)\n",
    "        return loss\n",
    "\n",
    "\n",
    "    def accuracy(self, y_true, y_pred):\n",
    "        labels = K.argmax(y_true, axis=-1)\n",
    "        logits = self.get_logits(labels, y_pred)\n",
    "        accuracy = categorical_accuracy(y_true=labels, y_pred=logits)\n",
    "        return accuracy\n",
    "    \n",
    "\n",
    "    def compute_output_shape(self, input_shape):\n",
    "        return (input_shape[0], self.output_dim)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uc5CotoFIHcg"
   },
   "source": [
    "### Alternative implementation of arcface"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "cRqNl77CISg7"
   },
   "outputs": [],
   "source": [
    "from keras import backend as K\n",
    "from keras.layers import Layer\n",
    "from keras import regularizers\n",
    "\n",
    "import tensorflow as tf\n",
    "\n",
    "\n",
    "class ArcFace(Layer):\n",
    "    def __init__(self, n_classes=10, s=30.0, m=0.50, regularizer=None, **kwargs):\n",
    "        super(ArcFace, self).__init__(**kwargs)\n",
    "        self.n_classes = n_classes\n",
    "        self.s = s\n",
    "        self.m = m\n",
    "        self.regularizer = regularizers.get(regularizer)\n",
    "\n",
    "    def build(self, input_shape):\n",
    "        super(ArcFace, self).build(input_shape[0])\n",
    "        self.W = self.add_weight(name='W',\n",
    "                                shape=(input_shape[0][-1], self.n_classes),\n",
    "                                initializer='glorot_uniform',\n",
    "                                trainable=True,\n",
    "                                regularizer=self.regularizer)\n",
    "\n",
    "    def call(self, inputs):\n",
    "        x, y = inputs\n",
    "        c = K.shape(x)[-1]\n",
    "        # normalize feature\n",
    "        x = tf.nn.l2_normalize(x, axis=1)\n",
    "        # normalize weights\n",
    "        W = tf.nn.l2_normalize(self.W, axis=0)\n",
    "        # dot product\n",
    "        logits = x @ W\n",
    "        # add margin\n",
    "        # clip logits to prevent zero division when backward\n",
    "        theta = tf.acos(K.clip(logits, -1.0 + K.epsilon(), 1.0 - K.epsilon()))\n",
    "        target_logits = tf.cos(theta + self.m)\n",
    "        # sin = tf.sqrt(1 - logits**2)\n",
    "        # cos_m = tf.cos(logits)\n",
    "        # sin_m = tf.sin(logits)\n",
    "        # target_logits = logits * cos_m - sin * sin_m\n",
    "        #\n",
    "        logits = logits * (1 - y) + target_logits * y\n",
    "        # feature re-scale\n",
    "        logits *= self.s\n",
    "        out = tf.nn.softmax(logits)\n",
    "\n",
    "        return out\n",
    "\n",
    "    def compute_output_shape(self, input_shape):\n",
    "        return (None, self.n_classes)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ky5pDC8BoEko"
   },
   "source": [
    "#### Importing the necessary packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "wKKv6QdxOp63"
   },
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "from tensorflow import keras \n",
    "from keras.preprocessing import image \n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from keras.optimizers import RMSprop\n",
    "from keras.models import load_model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 876,
     "status": "ok",
     "timestamp": 1619467972408,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "wPpKDHgpzMWU",
    "outputId": "1616682f-d39c-40ba-9bea-853b388a4edd"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name:  Apass count:  31\n",
      "Name:  Becky count:  39\n",
      "Name:  Canary count:  39\n",
      "Name:  Cindy count:  52\n",
      "Name:  Gamzi count:  30\n",
      "Name:  Kabuura count:  23\n",
      "Name:  Katatumba count:  62\n",
      "Name:  KenMugabi count:  59\n",
      "Name:  Lucky count:  57\n",
      "Name:  Nabata count:  48\n",
      "Name:  Raymond count:  21\n",
      "Name:  Renal count:  26\n",
      "Name:  Ruth count:  20\n",
      "Name:  Samson count:  68\n",
      "Name:  Vanny count:  38\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from os import listdir\n",
    "\n",
    "path=\"C:/Users/Diana/Desktop/Extracted/Training/\"\n",
    "count=0\n",
    "for f in listdir(path):\n",
    "  count=0\n",
    "  for nome in listdir(path+f):\n",
    "    count+=1\n",
    "  print(\"Name: \",f,\"count: \",count)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 1319,
     "status": "ok",
     "timestamp": 1619468019375,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "K4HiJlgE0JUU",
    "outputId": "7235bb91-919a-429b-ff31-ac72133faf0c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Name:  Apass count:  9\n",
      "Name:  Becky count:  10\n",
      "Name:  Canary count:  17\n",
      "Name:  Cindy count:  17\n",
      "Name:  Gamzi count:  9\n",
      "Name:  Kabuura count:  8\n",
      "Name:  Katatumba count:  20\n",
      "Name:  KenMugabi count:  14\n",
      "Name:  Lucky count:  16\n",
      "Name:  Nabata count:  22\n",
      "Name:  Raymond count:  6\n",
      "Name:  Renal count:  8\n",
      "Name:  Ruth count:  9\n",
      "Name:  Samson count:  22\n",
      "Name:  Vanny count:  14\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "from os import listdir\n",
    "\n",
    "path=\"C:/Users/Diana/Desktop/Extracted/Validation/\"\n",
    "count=0\n",
    "for f in listdir(path):\n",
    "  count=0\n",
    "  for nome in listdir(path+f):\n",
    "    count+=1\n",
    "  print(\"Name: \",f,\"count: \",count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Min14FmgoLZ7"
   },
   "source": [
    "#### Setting up the Image Data Generator API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 954,
     "status": "ok",
     "timestamp": 1619472869982,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "_oP9GPv9eyP_",
    "outputId": "1b96c986-8820-42ac-a1a6-5a8868014413"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 613 images belonging to 15 classes.\n",
      "Found 201 images belonging to 15 classes.\n"
     ]
    }
   ],
   "source": [
    "#Import shutil first, this package deletes ipnb_checkpoints files that create a ghost class\n",
    "import shutil\n",
    "#The next step is to delete every ipynb_checkpoints file created by colab\n",
    "#shutil.rmtree(\"/tmp/training/.ipynb_checkpoints\") #be careful with shutil.rmtree() because it deletes every tree in that path. In other words, do not make mistakes.\n",
    "#shutil.rmtree(\"/tmp/testing/.ipynb_checkpoints\")\n",
    "\n",
    "#specify both the training and validation directories\n",
    "TRAINING_DIR=\"C:/Users/Diana/Desktop/Extracted/Training/\"\n",
    "VALIDATION_DIR=\"C:/Users/Diana/Desktop/Extracted/Validation/\"\n",
    "\n",
    "#Initialize Image Data Generator objects, and rescale the image \n",
    "training_datagen=ImageDataGenerator(rescale=1/255)\n",
    "validation_datagen=ImageDataGenerator(rescale=1/255)\n",
    "\n",
    "#Create the image generators that create the create the classes for all images uploaded\n",
    "training_generator=training_datagen.flow_from_directory(TRAINING_DIR,class_mode='categorical',target_size=(160,160))\n",
    "validation_generator=validation_datagen.flow_from_directory(VALIDATION_DIR,class_mode='categorical',target_size=(160,160))\n",
    "\n",
    "#Load the facenet model architecture\n",
    "#model=load_model('/tmp/facenet/facenet_keras.h5')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "Xni0h7FSQ7oq"
   },
   "source": [
    "## Loading the facenet Model architecture"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 3577,
     "status": "ok",
     "timestamp": 1619472882494,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "IAs1PSgVLNP0",
    "outputId": "0a3393f5-a56d-4737-c9d4-9b2b6458a4d2"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "WARNING:tensorflow:No training configuration found in the save file, so the model was *not* compiled. Compile it manually.\n",
      "Model: \"inception_resnet_v1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
      "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
      "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
      "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
      "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
      "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
      "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
      "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
      "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
      "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
      "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
      "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
      "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
      "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
      "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
      "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
      "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
      "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
      "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
      "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
      "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
      "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
      "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "Bottleneck_BatchNorm (BatchNorm (None, 128)          384         Bottleneck[0][0]                 \n",
      "==================================================================================================\n",
      "Total params: 22,808,144\n",
      "Trainable params: 22,779,312\n",
      "Non-trainable params: 28,832\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model=load_model('C:/Users/Diana/Desktop/facenet_keras.h5')\n",
    "#A summary of the model architecture\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 1308,
     "status": "ok",
     "timestamp": 1619472211576,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "rH7-R2Iz6LQy",
    "outputId": "ff62f6f8-db9a-442c-847a-f962ec81c84a"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of layers in the base model:  426\n"
     ]
    }
   ],
   "source": [
    "print(\"Number of layers in the base model: \", len(model.layers))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "JB7bBtTPVmzS"
   },
   "outputs": [],
   "source": [
    "local_weights_file='/tmp/facerecog-facenet/facenet_keras_weights.h5'\n",
    "model.load_weights(local_weights_file)\n",
    "\n",
    "for layer in model.layers[:413]:\n",
    "  layer.trainable=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "HWNkmU4SEBEm"
   },
   "outputs": [],
   "source": [
    "local_weights_file='C:/Users/Diana/Desktop/facenet_keras_weights.h5'\n",
    "model.load_weights(local_weights_file)\n",
    "\n",
    "for layer in model.layers:\n",
    "  layer.trainable=False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "id": "yjnsrv9Vhpau"
   },
   "outputs": [],
   "source": [
    "from tensorflow.keras import layers\n",
    "from tensorflow.keras import Model \n",
    "\n",
    "#Specify the last layer from the architecture, that you actually want\n",
    "last_layer=model.get_layer('Bottleneck')\n",
    "last_output=last_layer.output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 231
    },
    "executionInfo": {
     "elapsed": 1218,
     "status": "error",
     "timestamp": 1619469339445,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "QdPuJW4ilhaj",
    "outputId": "0f5c0b99-934a-4b27-c1df-bff91b3dc41f"
   },
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "ignored",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-31-e734edb92129>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     14\u001b[0m \u001b[0mx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mlayers\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mFlatten\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlast_output\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     15\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0maf_layer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mArcFace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_classes\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m128\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mx\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     17\u001b[0m \u001b[0;31m#arcface_output = af_layer(last_output)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     18\u001b[0m \u001b[0marcface_output\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maf_layer\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mTypeError\u001b[0m: __init__() missing 2 required positional arguments: 'output_dim' and 'class_num'"
     ]
    }
   ],
   "source": [
    "#Code from arcface repo\n",
    "from keras.layers import Input\n",
    "from keras.layers import BatchNormalization\n",
    "\n",
    "\n",
    "\n",
    "#customizable arcface layer\n",
    "#af_layer = ArcFace(output_dim=128, class_num=128, margin=0.5, scale=64.)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#Flatten the output layer to one dimension\n",
    "x=layers.Flatten()(last_output)\n",
    "\n",
    "af_layer = ArcFace(n_classes=128)[x]\n",
    "#arcface_output = af_layer(last_output)\n",
    "arcface_output=af_layer\n",
    "print(arcface_output)\n",
    "x=layers.Dense(1024,activation='relu')(arcface_output)\n",
    "x=layers.Dense(512,activation='relu')(x)\n",
    "x=layers.Dense(128,activation='relu')(x)\n",
    "x=layers.Dense(15,activation='softmax')(arcface_output)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "#We're temporarily adding a classification layer, for training purposes\n",
    "#x=layers.Dense(15,activation='softmax')(x)\n",
    "#x=layers.Dense(1024,activation='relu')(x)\n",
    "#x=layers.Dense(128,activation='relu')(x)\n",
    "#x=layers.Dense(15,activation='softmax')(x)\n",
    "\n",
    "model=Model(model.input,x)\n",
    "\n",
    "#Compiling the model using the RMSprop optimizer and categorical cross entropy loss\n",
    "model.compile(optimizer=RMSprop(lr=0.0001),loss='categorical_crossentropy',metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1Kr5tbk2mHEi"
   },
   "source": [
    "### **Temporary Alternative to the above code cell**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "NSQETUqLmN1n"
   },
   "outputs": [],
   "source": [
    "#Code from arcface repo\n",
    "from keras.layers import Input\n",
    "from keras.layers import BatchNormalization\n",
    "from keras.layers import Dropout\n",
    "\n",
    "\n",
    "#customizable arcface layer\n",
    "af_layer = ArcFace(output_dim=128, class_num=128, margin=0.5, scale=64.)\n",
    "\n",
    "arcface_output = af_layer(last_output)\n",
    "x=layers.Flatten()(arcface_output)\n",
    "#print(arcface_output)\n",
    "x = Dropout(rate=0.3)(x)\n",
    "\n",
    "x=layers.Dense(1024,activation='relu')(arcface_output)\n",
    "\n",
    "x=layers.Dense(512,activation='relu')(x)\n",
    "x = Dropout(rate=0.5)(x)\n",
    "x=layers.Dense(128,activation='relu')(x)\n",
    "x=layers.Dense(15,activation='softmax')(arcface_output)\n",
    "\n",
    "model=Model(model.input,x)\n",
    "model.compile(optimizer=RMSprop(lr=0.0001),loss='categorical_crossentropy',metrics=['accuracy',tf.keras.metrics.AUC(multi_label = True)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 259827,
     "status": "ok",
     "timestamp": 1619473169049,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "qje4VW0jl8d5",
    "outputId": "a501bd4f-51fc-4d8c-bc1f-b2c14918dc44"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "20/20 - 84s - loss: 2.3115 - accuracy: 0.5808 - auc: 0.9464 - val_loss: 2.3543 - val_accuracy: 0.5323 - val_auc: 0.8982\n",
      "Epoch 2/100\n",
      "20/20 - 104s - loss: 2.2758 - accuracy: 0.5840 - auc: 0.9553 - val_loss: 2.3233 - val_accuracy: 0.5373 - val_auc: 0.9046\n",
      "Epoch 3/100\n",
      "20/20 - 109s - loss: 2.2384 - accuracy: 0.6052 - auc: 0.9600 - val_loss: 2.2910 - val_accuracy: 0.5373 - val_auc: 0.9149\n",
      "Epoch 4/100\n",
      "20/20 - 113s - loss: 2.2033 - accuracy: 0.6085 - auc: 0.9630 - val_loss: 2.2596 - val_accuracy: 0.5473 - val_auc: 0.9165\n",
      "Epoch 5/100\n",
      "20/20 - 113s - loss: 2.1661 - accuracy: 0.6150 - auc: 0.9682 - val_loss: 2.2275 - val_accuracy: 0.5473 - val_auc: 0.9202\n",
      "Epoch 6/100\n",
      "20/20 - 111s - loss: 2.1314 - accuracy: 0.6183 - auc: 0.9692 - val_loss: 2.1965 - val_accuracy: 0.5473 - val_auc: 0.9264\n",
      "Epoch 7/100\n",
      "20/20 - 108s - loss: 2.0954 - accuracy: 0.6297 - auc: 0.9718 - val_loss: 2.1652 - val_accuracy: 0.5522 - val_auc: 0.9301\n",
      "Epoch 8/100\n",
      "20/20 - 119s - loss: 2.0605 - accuracy: 0.6248 - auc: 0.9733 - val_loss: 2.1344 - val_accuracy: 0.5423 - val_auc: 0.9318\n",
      "Epoch 9/100\n",
      "20/20 - 122s - loss: 2.0260 - accuracy: 0.6297 - auc: 0.9753 - val_loss: 2.1039 - val_accuracy: 0.5522 - val_auc: 0.9363\n",
      "Epoch 10/100\n",
      "20/20 - 110s - loss: 1.9898 - accuracy: 0.6346 - auc: 0.9770 - val_loss: 2.0731 - val_accuracy: 0.5622 - val_auc: 0.9380\n",
      "Epoch 11/100\n",
      "20/20 - 106s - loss: 1.9554 - accuracy: 0.6525 - auc: 0.9786 - val_loss: 2.0436 - val_accuracy: 0.5672 - val_auc: 0.9403\n",
      "Epoch 12/100\n",
      "20/20 - 107s - loss: 1.9215 - accuracy: 0.6395 - auc: 0.9790 - val_loss: 2.0145 - val_accuracy: 0.5771 - val_auc: 0.9433\n",
      "Epoch 13/100\n",
      "20/20 - 107s - loss: 1.8884 - accuracy: 0.6525 - auc: 0.9792 - val_loss: 1.9859 - val_accuracy: 0.5821 - val_auc: 0.9457\n",
      "Epoch 14/100\n",
      "20/20 - 113s - loss: 1.8559 - accuracy: 0.6525 - auc: 0.9812 - val_loss: 1.9574 - val_accuracy: 0.5821 - val_auc: 0.9485\n",
      "Epoch 15/100\n",
      "20/20 - 110s - loss: 1.8215 - accuracy: 0.6656 - auc: 0.9817 - val_loss: 1.9288 - val_accuracy: 0.5821 - val_auc: 0.9498\n",
      "Epoch 16/100\n",
      "20/20 - 123s - loss: 1.7907 - accuracy: 0.6688 - auc: 0.9826 - val_loss: 1.9008 - val_accuracy: 0.5920 - val_auc: 0.9495\n",
      "Epoch 17/100\n",
      "20/20 - 115s - loss: 1.7603 - accuracy: 0.6737 - auc: 0.9836 - val_loss: 1.8733 - val_accuracy: 0.6020 - val_auc: 0.9500\n",
      "Epoch 18/100\n",
      "20/20 - 119s - loss: 1.7286 - accuracy: 0.6737 - auc: 0.9837 - val_loss: 1.8468 - val_accuracy: 0.6020 - val_auc: 0.9503\n",
      "Epoch 19/100\n",
      "20/20 - 138s - loss: 1.6978 - accuracy: 0.6803 - auc: 0.9837 - val_loss: 1.8198 - val_accuracy: 0.6169 - val_auc: 0.9511\n",
      "Epoch 20/100\n",
      "20/20 - 120s - loss: 1.6662 - accuracy: 0.6868 - auc: 0.9844 - val_loss: 1.7938 - val_accuracy: 0.6219 - val_auc: 0.9517\n",
      "Epoch 21/100\n",
      "20/20 - 125s - loss: 1.6370 - accuracy: 0.6868 - auc: 0.9846 - val_loss: 1.7684 - val_accuracy: 0.6219 - val_auc: 0.9540\n",
      "Epoch 22/100\n",
      "20/20 - 128s - loss: 1.6091 - accuracy: 0.6933 - auc: 0.9849 - val_loss: 1.7437 - val_accuracy: 0.6169 - val_auc: 0.9538\n",
      "Epoch 23/100\n",
      "20/20 - 118s - loss: 1.5822 - accuracy: 0.6949 - auc: 0.9851 - val_loss: 1.7199 - val_accuracy: 0.6169 - val_auc: 0.9541\n",
      "Epoch 24/100\n",
      "20/20 - 130s - loss: 1.5552 - accuracy: 0.6966 - auc: 0.9862 - val_loss: 1.6964 - val_accuracy: 0.6169 - val_auc: 0.9552\n",
      "Epoch 25/100\n",
      "20/20 - 127s - loss: 1.5281 - accuracy: 0.7145 - auc: 0.9863 - val_loss: 1.6725 - val_accuracy: 0.6169 - val_auc: 0.9566\n",
      "Epoch 26/100\n",
      "20/20 - 137s - loss: 1.5015 - accuracy: 0.7064 - auc: 0.9866 - val_loss: 1.6493 - val_accuracy: 0.6219 - val_auc: 0.9569\n",
      "Epoch 27/100\n",
      "20/20 - 127s - loss: 1.4759 - accuracy: 0.7145 - auc: 0.9865 - val_loss: 1.6268 - val_accuracy: 0.6219 - val_auc: 0.9574\n",
      "Epoch 28/100\n",
      "20/20 - 131s - loss: 1.4490 - accuracy: 0.7194 - auc: 0.9875 - val_loss: 1.6051 - val_accuracy: 0.6269 - val_auc: 0.9576\n",
      "Epoch 29/100\n",
      "20/20 - 122s - loss: 1.4262 - accuracy: 0.7243 - auc: 0.9872 - val_loss: 1.5837 - val_accuracy: 0.6269 - val_auc: 0.9586\n",
      "Epoch 30/100\n",
      "20/20 - 103s - loss: 1.4011 - accuracy: 0.7210 - auc: 0.9875 - val_loss: 1.5624 - val_accuracy: 0.6418 - val_auc: 0.9594\n",
      "Epoch 31/100\n",
      "20/20 - 120s - loss: 1.3782 - accuracy: 0.7210 - auc: 0.9877 - val_loss: 1.5423 - val_accuracy: 0.6418 - val_auc: 0.9604\n",
      "Epoch 32/100\n",
      "20/20 - 115s - loss: 1.3537 - accuracy: 0.7292 - auc: 0.9879 - val_loss: 1.5235 - val_accuracy: 0.6468 - val_auc: 0.9606\n",
      "Epoch 33/100\n",
      "20/20 - 133s - loss: 1.3341 - accuracy: 0.7374 - auc: 0.9885 - val_loss: 1.5045 - val_accuracy: 0.6517 - val_auc: 0.9611\n",
      "Epoch 34/100\n",
      "20/20 - 125s - loss: 1.3105 - accuracy: 0.7423 - auc: 0.9883 - val_loss: 1.4860 - val_accuracy: 0.6567 - val_auc: 0.9612\n",
      "Epoch 35/100\n",
      "20/20 - 115s - loss: 1.2916 - accuracy: 0.7406 - auc: 0.9884 - val_loss: 1.4670 - val_accuracy: 0.6567 - val_auc: 0.9616\n",
      "Epoch 36/100\n",
      "20/20 - 114s - loss: 1.2679 - accuracy: 0.7423 - auc: 0.9886 - val_loss: 1.4488 - val_accuracy: 0.6567 - val_auc: 0.9623\n",
      "Epoch 37/100\n",
      "20/20 - 114s - loss: 1.2471 - accuracy: 0.7439 - auc: 0.9890 - val_loss: 1.4310 - val_accuracy: 0.6617 - val_auc: 0.9624\n",
      "Epoch 38/100\n",
      "20/20 - 109s - loss: 1.2268 - accuracy: 0.7406 - auc: 0.9893 - val_loss: 1.4134 - val_accuracy: 0.6766 - val_auc: 0.9622\n",
      "Epoch 39/100\n",
      "20/20 - 126s - loss: 1.2066 - accuracy: 0.7455 - auc: 0.9895 - val_loss: 1.3957 - val_accuracy: 0.6816 - val_auc: 0.9629\n",
      "Epoch 40/100\n",
      "20/20 - 117s - loss: 1.1873 - accuracy: 0.7553 - auc: 0.9894 - val_loss: 1.3794 - val_accuracy: 0.6816 - val_auc: 0.9636\n",
      "Epoch 41/100\n",
      "20/20 - 115s - loss: 1.1684 - accuracy: 0.7569 - auc: 0.9899 - val_loss: 1.3637 - val_accuracy: 0.6866 - val_auc: 0.9640\n",
      "Epoch 42/100\n",
      "20/20 - 107s - loss: 1.1513 - accuracy: 0.7586 - auc: 0.9898 - val_loss: 1.3474 - val_accuracy: 0.6965 - val_auc: 0.9645\n",
      "Epoch 43/100\n",
      "20/20 - 109s - loss: 1.1351 - accuracy: 0.7618 - auc: 0.9898 - val_loss: 1.3317 - val_accuracy: 0.6965 - val_auc: 0.9656\n",
      "Epoch 44/100\n",
      "20/20 - 117s - loss: 1.1168 - accuracy: 0.7684 - auc: 0.9898 - val_loss: 1.3169 - val_accuracy: 0.7015 - val_auc: 0.9651\n",
      "Epoch 45/100\n",
      "20/20 - 110s - loss: 1.0990 - accuracy: 0.7700 - auc: 0.9901 - val_loss: 1.3023 - val_accuracy: 0.7065 - val_auc: 0.9652\n",
      "Epoch 46/100\n",
      "20/20 - 97s - loss: 1.0840 - accuracy: 0.7814 - auc: 0.9903 - val_loss: 1.2883 - val_accuracy: 0.7065 - val_auc: 0.9658\n",
      "Epoch 47/100\n",
      "20/20 - 98s - loss: 1.0661 - accuracy: 0.7945 - auc: 0.9905 - val_loss: 1.2748 - val_accuracy: 0.7065 - val_auc: 0.9659\n",
      "Epoch 48/100\n",
      "20/20 - 102s - loss: 1.0512 - accuracy: 0.7896 - auc: 0.9906 - val_loss: 1.2610 - val_accuracy: 0.7114 - val_auc: 0.9666\n",
      "Epoch 49/100\n",
      "20/20 - 105s - loss: 1.0360 - accuracy: 0.8026 - auc: 0.9907 - val_loss: 1.2478 - val_accuracy: 0.7114 - val_auc: 0.9667\n",
      "Epoch 50/100\n",
      "20/20 - 107s - loss: 1.0193 - accuracy: 0.8010 - auc: 0.9913 - val_loss: 1.2347 - val_accuracy: 0.7164 - val_auc: 0.9672\n",
      "Epoch 51/100\n",
      "20/20 - 101s - loss: 1.0060 - accuracy: 0.8075 - auc: 0.9908 - val_loss: 1.2220 - val_accuracy: 0.7214 - val_auc: 0.9670\n",
      "Epoch 52/100\n",
      "20/20 - 105s - loss: 0.9903 - accuracy: 0.8157 - auc: 0.9911 - val_loss: 1.2101 - val_accuracy: 0.7214 - val_auc: 0.9672\n",
      "Epoch 53/100\n",
      "20/20 - 114s - loss: 0.9784 - accuracy: 0.8189 - auc: 0.9911 - val_loss: 1.1986 - val_accuracy: 0.7313 - val_auc: 0.9676\n",
      "Epoch 54/100\n",
      "20/20 - 108s - loss: 0.9643 - accuracy: 0.8287 - auc: 0.9916 - val_loss: 1.1866 - val_accuracy: 0.7413 - val_auc: 0.9679\n",
      "Epoch 55/100\n",
      "20/20 - 116s - loss: 0.9520 - accuracy: 0.8303 - auc: 0.9914 - val_loss: 1.1753 - val_accuracy: 0.7463 - val_auc: 0.9682\n",
      "Epoch 56/100\n",
      "20/20 - 109s - loss: 0.9388 - accuracy: 0.8303 - auc: 0.9915 - val_loss: 1.1643 - val_accuracy: 0.7512 - val_auc: 0.9685\n",
      "Epoch 57/100\n",
      "20/20 - 127s - loss: 0.9230 - accuracy: 0.8401 - auc: 0.9920 - val_loss: 1.1538 - val_accuracy: 0.7512 - val_auc: 0.9688\n",
      "Epoch 58/100\n",
      "20/20 - 132s - loss: 0.9120 - accuracy: 0.8385 - auc: 0.9920 - val_loss: 1.1431 - val_accuracy: 0.7612 - val_auc: 0.9688\n",
      "Epoch 59/100\n",
      "20/20 - 119s - loss: 0.9001 - accuracy: 0.8467 - auc: 0.9918 - val_loss: 1.1326 - val_accuracy: 0.7612 - val_auc: 0.9692\n",
      "Epoch 60/100\n",
      "20/20 - 107s - loss: 0.8881 - accuracy: 0.8564 - auc: 0.9921 - val_loss: 1.1228 - val_accuracy: 0.7711 - val_auc: 0.9695\n",
      "Epoch 61/100\n",
      "20/20 - 109s - loss: 0.8759 - accuracy: 0.8613 - auc: 0.9917 - val_loss: 1.1127 - val_accuracy: 0.7711 - val_auc: 0.9694\n",
      "Epoch 62/100\n",
      "20/20 - 106s - loss: 0.8637 - accuracy: 0.8630 - auc: 0.9921 - val_loss: 1.1028 - val_accuracy: 0.7761 - val_auc: 0.9697\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 63/100\n",
      "20/20 - 133s - loss: 0.8523 - accuracy: 0.8728 - auc: 0.9922 - val_loss: 1.0935 - val_accuracy: 0.7761 - val_auc: 0.9690\n",
      "Epoch 64/100\n",
      "20/20 - 112s - loss: 0.8413 - accuracy: 0.8711 - auc: 0.9925 - val_loss: 1.0842 - val_accuracy: 0.7811 - val_auc: 0.9698\n",
      "Epoch 65/100\n",
      "20/20 - 116s - loss: 0.8304 - accuracy: 0.8728 - auc: 0.9925 - val_loss: 1.0749 - val_accuracy: 0.7811 - val_auc: 0.9699\n",
      "Epoch 66/100\n",
      "20/20 - 112s - loss: 0.8191 - accuracy: 0.8793 - auc: 0.9926 - val_loss: 1.0660 - val_accuracy: 0.7761 - val_auc: 0.9700\n",
      "Epoch 67/100\n",
      "20/20 - 113s - loss: 0.8108 - accuracy: 0.8842 - auc: 0.9927 - val_loss: 1.0573 - val_accuracy: 0.7811 - val_auc: 0.9704\n",
      "Epoch 68/100\n",
      "20/20 - 108s - loss: 0.7987 - accuracy: 0.8907 - auc: 0.9930 - val_loss: 1.0488 - val_accuracy: 0.7811 - val_auc: 0.9706\n",
      "Epoch 69/100\n",
      "20/20 - 113s - loss: 0.7886 - accuracy: 0.8923 - auc: 0.9927 - val_loss: 1.0407 - val_accuracy: 0.7861 - val_auc: 0.9709\n",
      "Epoch 70/100\n",
      "20/20 - 128s - loss: 0.7812 - accuracy: 0.8858 - auc: 0.9926 - val_loss: 1.0327 - val_accuracy: 0.7861 - val_auc: 0.9709\n",
      "Epoch 71/100\n",
      "20/20 - 112s - loss: 0.7706 - accuracy: 0.8842 - auc: 0.9931 - val_loss: 1.0252 - val_accuracy: 0.7861 - val_auc: 0.9710\n",
      "Epoch 72/100\n",
      "20/20 - 107s - loss: 0.7626 - accuracy: 0.8907 - auc: 0.9930 - val_loss: 1.0174 - val_accuracy: 0.7861 - val_auc: 0.9708\n",
      "Epoch 73/100\n",
      "20/20 - 127s - loss: 0.7498 - accuracy: 0.8989 - auc: 0.9932 - val_loss: 1.0100 - val_accuracy: 0.7861 - val_auc: 0.9712\n",
      "Epoch 74/100\n",
      "20/20 - 108s - loss: 0.7421 - accuracy: 0.8923 - auc: 0.9933 - val_loss: 1.0027 - val_accuracy: 0.7910 - val_auc: 0.9712\n",
      "Epoch 75/100\n",
      "20/20 - 108s - loss: 0.7360 - accuracy: 0.8940 - auc: 0.9934 - val_loss: 0.9953 - val_accuracy: 0.7910 - val_auc: 0.9715\n",
      "Epoch 76/100\n",
      "20/20 - 104s - loss: 0.7266 - accuracy: 0.9038 - auc: 0.9935 - val_loss: 0.9876 - val_accuracy: 0.7861 - val_auc: 0.9716\n",
      "Epoch 77/100\n",
      "20/20 - 106s - loss: 0.7177 - accuracy: 0.9038 - auc: 0.9936 - val_loss: 0.9808 - val_accuracy: 0.7861 - val_auc: 0.9719\n",
      "Epoch 78/100\n",
      "20/20 - 102s - loss: 0.7079 - accuracy: 0.9152 - auc: 0.9939 - val_loss: 0.9738 - val_accuracy: 0.7861 - val_auc: 0.9723\n",
      "Epoch 79/100\n",
      "20/20 - 111s - loss: 0.7015 - accuracy: 0.9070 - auc: 0.9938 - val_loss: 0.9672 - val_accuracy: 0.7861 - val_auc: 0.9723\n",
      "Epoch 80/100\n",
      "20/20 - 108s - loss: 0.6938 - accuracy: 0.9021 - auc: 0.9937 - val_loss: 0.9607 - val_accuracy: 0.7861 - val_auc: 0.9724\n",
      "Epoch 81/100\n",
      "20/20 - 116s - loss: 0.6854 - accuracy: 0.9103 - auc: 0.9938 - val_loss: 0.9548 - val_accuracy: 0.7910 - val_auc: 0.9726\n",
      "Epoch 82/100\n",
      "20/20 - 133s - loss: 0.6793 - accuracy: 0.9135 - auc: 0.9938 - val_loss: 0.9485 - val_accuracy: 0.7910 - val_auc: 0.9728\n",
      "Epoch 83/100\n",
      "20/20 - 113s - loss: 0.6707 - accuracy: 0.9201 - auc: 0.9942 - val_loss: 0.9424 - val_accuracy: 0.7910 - val_auc: 0.9730\n",
      "Epoch 84/100\n",
      "20/20 - 104s - loss: 0.6631 - accuracy: 0.9201 - auc: 0.9941 - val_loss: 0.9361 - val_accuracy: 0.7910 - val_auc: 0.9732\n",
      "Epoch 85/100\n",
      "20/20 - 109s - loss: 0.6576 - accuracy: 0.9103 - auc: 0.9941 - val_loss: 0.9299 - val_accuracy: 0.7910 - val_auc: 0.9734\n",
      "Epoch 86/100\n",
      "20/20 - 117s - loss: 0.6476 - accuracy: 0.9233 - auc: 0.9943 - val_loss: 0.9239 - val_accuracy: 0.7910 - val_auc: 0.9730\n",
      "Epoch 87/100\n",
      "20/20 - 103s - loss: 0.6415 - accuracy: 0.9250 - auc: 0.9945 - val_loss: 0.9182 - val_accuracy: 0.7910 - val_auc: 0.9732\n",
      "Epoch 88/100\n",
      "20/20 - 113s - loss: 0.6341 - accuracy: 0.9184 - auc: 0.9944 - val_loss: 0.9130 - val_accuracy: 0.7960 - val_auc: 0.9735\n",
      "Epoch 89/100\n",
      "20/20 - 112s - loss: 0.6294 - accuracy: 0.9217 - auc: 0.9946 - val_loss: 0.9075 - val_accuracy: 0.7960 - val_auc: 0.9736\n",
      "Epoch 90/100\n",
      "20/20 - 111s - loss: 0.6250 - accuracy: 0.9233 - auc: 0.9943 - val_loss: 0.9020 - val_accuracy: 0.7960 - val_auc: 0.9738\n",
      "Epoch 91/100\n",
      "20/20 - 105s - loss: 0.6179 - accuracy: 0.9250 - auc: 0.9942 - val_loss: 0.8971 - val_accuracy: 0.7960 - val_auc: 0.9740\n",
      "Epoch 92/100\n",
      "20/20 - 112s - loss: 0.6099 - accuracy: 0.9266 - auc: 0.9945 - val_loss: 0.8925 - val_accuracy: 0.7960 - val_auc: 0.9743\n",
      "Epoch 93/100\n",
      "20/20 - 112s - loss: 0.6038 - accuracy: 0.9233 - auc: 0.9950 - val_loss: 0.8876 - val_accuracy: 0.8010 - val_auc: 0.9746\n",
      "Epoch 94/100\n",
      "20/20 - 120s - loss: 0.5988 - accuracy: 0.9201 - auc: 0.9947 - val_loss: 0.8824 - val_accuracy: 0.8010 - val_auc: 0.9748\n",
      "Epoch 95/100\n",
      "20/20 - 182s - loss: 0.5928 - accuracy: 0.9266 - auc: 0.9949 - val_loss: 0.8780 - val_accuracy: 0.8010 - val_auc: 0.9748\n",
      "Epoch 96/100\n",
      "20/20 - 202s - loss: 0.5865 - accuracy: 0.9282 - auc: 0.9949 - val_loss: 0.8735 - val_accuracy: 0.8010 - val_auc: 0.9748\n",
      "Epoch 97/100\n",
      "20/20 - 199s - loss: 0.5779 - accuracy: 0.9315 - auc: 0.9951 - val_loss: 0.8690 - val_accuracy: 0.8010 - val_auc: 0.9749\n",
      "Epoch 98/100\n",
      "20/20 - 194s - loss: 0.5750 - accuracy: 0.9299 - auc: 0.9953 - val_loss: 0.8646 - val_accuracy: 0.8010 - val_auc: 0.9748\n",
      "Epoch 99/100\n",
      "20/20 - 212s - loss: 0.5704 - accuracy: 0.9250 - auc: 0.9952 - val_loss: 0.8602 - val_accuracy: 0.8010 - val_auc: 0.9750\n",
      "Epoch 100/100\n",
      "20/20 - 222s - loss: 0.5641 - accuracy: 0.9250 - auc: 0.9950 - val_loss: 0.8560 - val_accuracy: 0.8010 - val_auc: 0.9753\n"
     ]
    }
   ],
   "source": [
    "#training for 100 epochs\n",
    "history=model.fit(training_generator,validation_data=validation_generator,epochs=100,verbose=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.4.1\n"
     ]
    }
   ],
   "source": [
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.4.0\n"
     ]
    }
   ],
   "source": [
    "print(keras.__version__)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "4F1yNvnnqpjc"
   },
   "source": [
    "### Lets visualize the output of the training phase"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "XYaRMnfWC-d2"
   },
   "source": [
    "## 413 from 426"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 762
    },
    "executionInfo": {
     "elapsed": 1117,
     "status": "ok",
     "timestamp": 1619471625557,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "uWpYratUmo8T",
    "outputId": "ab8c999d-7b5e-4b27-d578-26e00f3863ba"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MiZWSvW7CEaofDpxM4wAMvv9+2LcPnnwSKlWCRx8N/S1hjDEJYDP6EArK10NAGkcEHn8cbr3VNUEbE/dFtIwxpkDhLA5eT0Q+EpH1IrJWRH4T5BgRkbEisklEVotIVsC+niKy0bfvnmifQKwUlq+HgFUHReD55+G661ynS99yYMYYUxKEM6M/CvxWVZsC7YHhItIs3zG9gEa+x1DgBQARKQ2M8+1vBgwK8toSy5+vDxXsTym7LFUKJk6E/v3h7rvhxRfjOFJjjAktnMXBd6rqct/vB4D1QN18h/UFXlFnMXCGiNQB2gKbfIuEHwam+o5NKmGXXZYp437p08d1vJw4Ma7jNMaYYCLK0YtIBtAG+CzfrrrA9oDnub5tobYHe++hIpIjIjl5eXmRDCvmIiq7PO00ePNNuPRSuPlmeO21uI3TGGOCCTvQi0hlYBpwl6ruz787yEu0gO0/36g6XlWzVTU7LS0t3GHFTVhtjf3KlXP967t1c/X2r78ejyEaY0xQYQV6ESmLC/KTVfWtIIfkAvUCnqcDOwrYnrRCtUkoVco9TuTsK1SAmTOhUyd396wtXGKMSZBwqm4EmACsV9W/hjhsJvBrX/VNe2Cfqu4ElgKNRKSBiJwGDPQdm7RC5euPHXMXZ0/J2VeqBLNmuYVLBgyAgAWLjTEmXsKZ0XcCrgMuEpGVvkdvERkmIv4Vc2cDm4FNwN+B2wFU9ShwBzAXdxH3dVVdG+2TiKfAfL0IlC7982NOydlXqQLvvQeZma4ip5DV7I0xJtqsTXExhdXaGODbb6F7d1i3zq1YdfHFcRujMcb7rE1xDIXV2hjcYiUffACNG8Pll8N//hOvIRpjUpwF+mIKu8YeoHp1mDfPfQNcdplbpcoYY2LMAn0xRVRjD1Czputjf9ZZ0KsXfPppXMZpjEldFuijIKIae4A6deCjj9yas5de6pYnNMaYGLFAH0Vh5+sB6tZ1wb5mTRfsP8t/s7ExxkSHBfooiihfD5Ce7oJ9jRrQo4fN7I0xMWGBPooiztcD1KsHH38MaWku2FvO3hgTZRbooyyipQj96tVz5Za1a7tgv2BBHEZqjEkVFuhjJFS+HkKkcerWdTP7s85yOft582I9RGNMirBAHyNhL0UY6Kyz3Mz+F79wdfbWG8cYEwUW6GMkoqUIA9Wu7Wb2rVtDv34wdWqshmiMSREW6GMooqUIA515pkvddOzo3uTll2M8UmOMl1mgj4OIyy4BTj/ddbrs3h1uuMH988AYY4rAAn0cFKnsEty3w8yZrlXCrbfCs8/GdJzGGG+yQB8nRSq7BChfHt56C664AkaMgL/8JXhfZGOMCcECfZxFXHYJbg3aN96A666DP/0Jfvc7C/bGmLBZoI+zIpVdApQpA5MmwZ13wl//CjfdBEePxmqYxhgPKZPoAaSawYPdz/vuczP4YIKWXYJbzuqZZ1xVzp//DHv3wpQpbiFyY4wJwWb0CVDksktwSf6HHnIXZmfOhJ49Yd++2A3WGJP0Cg30IjJRRHaJyJoQ+38fsGj4GhE5JiJn+vZtFZHPffuSYxHYOCpS2aXfHXfAP//pmqB16QI7dsRsnMaY5BbOjH4S0DPUTlV9XFUzVTUTuBf4j6ruDTikm29/0EVrU1mRyy79Bg50C41/+SV06OAWHjfGmHwKDfSqOh/YW9hxPoOAKcUaUYopctmlX48erj/O4cPQqRN88kmMRmqMSVZRy9GLSEXczH9awGYF3heRZSIytJDXDxWRHBHJycvLi9awkkaRyi79srJcCqdWLbj4YneB1hhjfKJ5MfaXwMJ8aZtOqpoF9AKGi8iFoV6squNVNVtVs9PS0qI4rORQ5LJLv4wMWLgQ2reHa66B0aOt1t4YA0Q30A8kX9pGVXf4fu4CpgNto/h5nlLkbpeBqleH9993N1Y98AAMGQI//RTNYRpjklBUAr2IVAW6AG8HbKskIlX8vwM9gKCVO8YpVtmlX7lyrtvl6NHwyisulbN7dwxGa4xJFuGUV04BPgXOFZFcEblJRIaJyLCAw64E3lfV7wO21QIWiMgqYAkwS1XnRHPwXlWssktwV3bvv9/1sl+6FNq1g/XrYzJWY0zJJ1oC87jZ2dmak5PaZfeTJxd892z9+m72X6jFi6FvX5fCefNNN8M3xniOiCwLVcZud8aWUMUuu/Rr3x6WLHELkPfqBRMmRHmkxpiSzgJ9CVessku/+vVhwQK46CK4+Wa49144fjyq4zTGlFwW6Eu4Ypdd+lWt6u6iHToUHn0Urr4avv++8NcZY5KeBfoSLpyyy7DTOGXLwosvwpNPwowZcMEFsH17FEdrjCmJLNAngcLKLiGCNI4I3H03vPMObNoE55/v7qo1xniWBfokErU0DkDv3q4ip1Il6NrVLtIa42EW6JNIVO6eDdSsmauz79LFXaS94w44cqTY4zTGlCwW6JNMVO6eDXTmmTB7Nvz2tzBuHHTvDjt3Rmm0xpiSwAJ9kir23bOBypSBJ55wL1i2zHXDtHbHxniGBfokVexFS4K55hqXt69cGbp1g6eesg6YxniABfokFrW7ZwO1bAk5OXD55a4651e/gv37ozBaY0yiWKD3gKjcPRuoalWYNg0efxymT3clmGus8agxycoCvQeEU3Z5/fVQqlQEM3wR+N3v4N//djP6tm1d22NjTNKxQO8B4ZRdHjvm0u0Rz/AvvBBWrHCtjq+/Hm65BX74ISrjNsbEhwV6jwjn7lm/iC/U1q4NH3wAf/wjvPSS64i5bl1Rh2qMiTML9B5TWBrHL+ILtWXKuDefPdvV2Wdnu39GWFWOMSWeBXqPCUzjiEDp0qGPLdKF2l69YNUq6NwZbr0V+vWDXbuKPW5jTOxYoPcgfxrn+HG3fGzU+uP41akDc+a4qpzZs6F5c7d6lTGmRApnzdiJIrJLRILW14lIVxHZJyIrfY8HAvb1FJGNIrJJRO6J5sBNeKLa5jhQqVKuKmf5cvfmV18NgwbBnj3FHbIxJsrCmdFPAnoWcswnqprpezwMICKlgXFAL6AZMEhEmhVnsKZootrmOL/mzV2b49Gj3ay+RQuYNas4wzXGRFmhgV5V5wN7i/DebYFNqrpZVQ8DU4G+RXgfEyVRbXMcqGxZuP9+1wkzLQ369IGbboJ9+4o8VmNM9EQrR99BRFaJyHsi0ty3rS4QuHxRrm+bSZCYpXH8MjNdsL/nHpg0yc3u33uvaIM1xkRNNAL9cqC+qrYGngVm+LYH68ASshZPRIaKSI6I5OTl5UVhWCaYmKZxAMqVg0cecemc0093C5zceKPN7o1JoGIHelXdr6oHfb/PBsqKSA3cDL5ewKHpwI4C3me8qmaranZaWlpxh2UKEbM0jl/btq7l8T33uNKfVq1cOwVjTNwVO9CLSG0R1z9RRNr63nMPsBRoJCINROQ0YCAws7ifZ6Ij5mkcgPLl3ex+4UI30+/eHUaMgO+/L+IbGmOKIpzyyinAp8C5IpIrIjeJyDARGeY7pD+wRkRWAWOBgeocBe4A5gLrgddVdW1sTsMURczTOH7t28PKlXDnnfDss64V8ocfFuMNjTGREC2Bt7BnZ2drTk5OooeRMiZPdsH80KHQx9Sv774Uim3+fFeRs2mTW6f28cfhjDOi8MbGpDYRWaaq2cH22Z2xJj5pHL8LL4TVq+H3v4eJE6FpU3jrrWK+qTGmIBboDRDHNA5AhQrw2GOwZInrjHnVVa5nzo6Q1+qNMcVggd6cIpxqnGuvjdLs/rzzXLB/9FFXb9+0KbzwgmvSY4yJGgv05hThpHEgirP7smVh1Cj4/HO3ZOHtt8MFF8Bau25vTLRYoDc/E+4iJsWutQ90zjlucZOXX4aNG6FNG3jgAfjxxyh9gDGpywK9CSmcRUyidpEWXAP9X/8a1q+HgQNdo7TMTJg3LwpvbkzqskBvQop7GscvLc0tRD53Lhw5Apdc4i7YRqW+05jUY4HeFMifxnnttRi3TAimRw+Xqx8zxi100rSp65J58GCUP8gYb7NAb8IS11r7QOXLu0XJN250JZhjxkCjRjBhAhw7FsUPMsa7LNCbsMW11j6/9HT3posXQ8OG7q7a88+HBQui/EHGeI8FehOxuNba59eunQvuU6bA7t2uFHPQINi+vfDXGpOiLNCbiCXsIq2fiKvK2bDBlWDOmAHnnut+t/y9MT9jgd4USUJq7fOrWBH+/GcX8Pv2deWYjRu7/P3RozH6UGOSjwV6Uyxxr7UPpn59l8pZtMj9fvPNrhXyW29BCezOaky8WaA3xZLwNE6gDh1csPd3w7zqKtcLf948C/gmpVmgN8UWSa19zC7S+onAlVe63jkvvQQ7d7obri66yH0JGJOCLNCbqClRs/syZdwCJ198Ac88A+vWQadOcOmlrkTTmBRigd5EVSQXaWM+uwd3w9WIEbB5s+uBv3y5S/H06mUzfJMyLNCbmAjnIi3EaXYPUKmSW9Vqyxa3YHlOjpvhd+8OH31kOXzjaeEsDj5RRHaJyJoQ+weLyGrfY5GItA7Yt1VEPheRlSJii8CmkHDTOBDjEsz8KleGe+5x/+z4619dp8yLLoIuXdyC5RbwjQeFM6OfBPQsYP8WoIuqtgJGA+Pz7e+mqpmhFq013hXuRVqIQwlmfpUqwciRLqXz3HPu58UXQ+fOMGuWBXzjKYUGelWdD+wtYP8iVf3W93QxkB6lsRmPKFEXafMrXx6GD4cvv4Rx4yA3F/r0cX3wp0yxG6+MJ0Q7R38T8F7AcwXeF5FlIjK0oBeKyFARyRGRnLy8vCgPyyRaJCWY118PpUrFeYZfrpxbxnDTJpg0CQ4fhmuuca0VXnzRVroySS1qgV5EuuEC/aiAzZ1UNQvoBQwXkQtDvV5Vx6tqtqpmp6WlRWtYpoQJZ3Z/7JjLnCRkhl+2rPumWbvW3XhVvTrcdpv71vm//4Nvvy30LYwpaaIS6EWkFfAS0FdV9/i3q+oO389dwHSgbTQ+zyS3cEswIY5lmPmVKuVuvPrsM/j3v6F1a3fFuF49uOsul9M3JkkUO9CLyNnAW8B1qvpFwPZKIlLF/zvQAwhauWNSU7glmJCg2T24O227dXPLGq5c6RY/GTfOLWb+y1/C++/D8eNxHpQxkQmnvHIK8ClwrojkishNIjJMRIb5DnkAqA48n6+MshawQERWAUuAWao6JwbnYJJUYBpHBEqXLvj4hM3u/Vq3dmvZbt3qljRcssTdadu0KTz9tKV1TIklWgLLyLKzszUnx8ruU83kyW7WfuhQ4cdWrOi+JAYPjv24QvrpJ3jjDXj+efj0U6hQAa67Du68E1q0SODATCoSkWWhytjtzlhTYkR6k1VCZ/fgKnWuvda1Uli+3FXpvPKKa5F80UUwbRocOZKgwRlzkgV6U6JEcpMVJDB3n1+bNq5bZm4u/L//5+ry+/d331oPPABffZXgAZpUZoHelEhJN7v3q14d/vAHV5XzzjuQlQV/+YsbXO/eMH26zfJN3FmgNyVW0s7uwV1Z7tMH3n3XNVK7/35YvdpV7aSnw913u+fGxIEFelPiJe3s3q9+fXj4YfetNXOm66fz3HOuiicry13M/e67RI/SeJgFepMUknp271emjKu9nzYNduyAsWNdDf7w4VCnjjvJefOsLt9EnQV6k1SSfnbvV6OGK8NcscL1xr/hBpg92y17mJHh7sJdty7RozQeYYHeJB1PzO79ROC881z6ZudOmDoVmjWDRx+F5s1dF83HHnPVPMYUkQV6k7Q8M7v3K18eBgyAOXNOpnYqVIBRo+Dss12//Jdfhv37Ez1Sk2Qs0Juk5qnZfaBatVxq59NP4b//dbX4mzfDkCFu34AB7sLuTz8leqQmCVigN57gudl9oHPOgYcecjdhLVjg8vkffgh9+0LNmq7tggV9UwDrdWM8J5KeOSKu9339+q6bZkJ750TiyBFXofPGGzBjhmuodvrpcPnl8KtfQY8erkWDSRnW68aklEhm9/55TtKkdPzKloVevWDiRPjmG3jvPddyYdYsF+xr1nQLqMyaZTN9Y4HeeFOkuXtIwpSOX9my0LMnTJgA//ufC+79+rl0Tp8+kJbmGq69+SYcPJjo0ZoEsNSN8bzJk11Z+rZt4b+mRLRBLq7Dh116Z/p0l97Zvdulc7p3hyuucDdv1a6d6FGaKCkodWOB3qSMSHL3fkmXuw/l6FFYuBDeftsF/S1b3PZ27dxF3T59XA99kYQO0xSdBXpjfAJn9/4LsYXxxOw+kCp8/rlL7cycCUuXuu3p6a7DZu/ebtZfuXJix2kiYoHemCAiTel4Znaf344d7mLu7NnwwQdw4IDL+19wgcv99+gBrVrZbL+Es0BvTAEiSemULeuqGPfudTerei7wHz7sUjz+wL92rdteq5brw9Ojh3vUqpXYcZqfKVagF5GJQB9gl6r+bCFMERHgGaA3cAgYoqrLfft6+vaVBl5S1UfDGbAFehNvRblgCx5M6+T39ddulv/+++7n7t1ue2ama8lwySVu5l+hQkKHaYof6C8EDgKvhAj0vYE7cYG+HfCMqrYTkdLAF8AlQC6wFBikqoW25LNAbxKlKBdswcNpnUDHj7tum3PnusC/aJG7catcOejY0eX1u3eH7GzXktnEVbFumFLV+cDeAg7pi/sSUFVdDJwhInWAtsAmVd2sqoeBqb5jjSmxIrnZKtC2ba4TgUgS1uGHq1Qp12nzj3+Ejz92+atZs1w//b173SpaHTq45RT79oVnn4UvvgjvireJqWjcMFUX2B7wPNe3LdT2oERkqIjkiEhOXl5eFIZlTNEU5WYrSOK7bIuqcmVXofPkk7ByJeTlwb/+BQMHwpo1MGIEnHsuNGwIw4a5Fsw7dyZ61CkpGoE+2KV4LWB7UKo6XlWzVTU7LS0tCsMypngCZ/cibqJ62mnhvTZp77Itjho1XJ+dv/3NNWDbtAnGjXMVO//8JwwaBGedBY0bu2/Cf/7TXQMwMReNQJ8L1At4ng7sKGC7MUnDP7s/ftxdh5w4MbK0TkqkdEL5xS/g9tvdTVp797p6/SefhKZNXTO2wYNd7f4vfuHaL0+YABs2WKonBsIqrxSRDODdEBdjLwPu4OTF2LGq2lZEyuAuxnYHvsZdjL1GVdcW9nl2MdaUdEW9aOv5Kp1wHTsGq1fDRx/BJ5+49sv+ip7q1d3F3Q4d3J27558PVaokdrxJoLhVN1OArkAN4BvgQaAsgKq+6CuvfA7oiSuvvEFVc3yv7Q08jSuvnKiqY8IZsAV6kwyKcpetX0pU6URCFTZudDX8Cxe6wP/f/7p9Im5ZxQ4dTn4BNG5sN3DlYzdMGRNjRanDT9pe+PGydy8sWQKffQaLF7vVtvbtc/uqVYP27U8G/7ZtU37Wb4HemDixlE4MHT/ucviffnoy8K9b574tS5VyTdk6dDj5aNQopWb9FuiNiSNL6cTRd9+5Gf+iRS7wf/bZycXTq1VzOf62bd1NXNnZUKdOQocbSxbojUkQS+nE2fHjbpbvT/csXuyeHz/u9tepA23auBYObdq4G8AyMjwx87dAb0yCFTWlY0E/Cr7/3t3QlZMDy5a539etc5U/4Gb+WVknH23auAXZS5dO5KgjZoHemBKgOCkdsKAfVT/+6O7eXb7cBf9ly1yP/sOH3f4KFVylT8uW7mfz5tCsGdSrV2Jn/xbojSlhitot088u3sbAkSOuLfOKFS7or17tfu7adfKY0093F31btIDWrV0KqFWrErFIiwV6Y0qooqZ0/Gx2Hwe7d7tUz9q17l8Ba9a4L4Bvv3X7RdwfRNOmJx9Nmrif1avHbZgW6I0pwSylk4RUYft2l+9fuRLWr3elnxs3wg8/nDyuZk2X8gn8Emja1PX8iXIKyAK9MUnCgn6SO37c/eGtX3/ysW6de/hv9gJ3c1eTJicfjRu7Tp/nnFPkRVws0BuThIob9C2PX4Kowv/+52b9/i8A/++BHTzPOMPdEVyE2b4FemOSXFEv3pYu7SaZnlzf1isOHnR9fb74ws36hw4t0ttYoDfGI4pz8dbSOt5WrKUEjTElR/6lDiP5F37gClgp2yM/RVmgNybJ+BdDUYVXX7Wgbwpngd6YJBYs6ItEdve+BX3vs0BvjEcELnv48suRLWzuZ0HfmyzQG+NBxcnl+1nQ9w4L9MZ4VDRy+X4W9JNbWIFeRHqKyEYR2SQi9wTZ/3sRWel7rBGRYyJypm/fVhH53LfPaiaNSQAL+qmt0EAvIqWBcUAvoBkwSESaBR6jqo+raqaqZgL3Av9R1b0Bh3Tz7Q9a42mMiR8L+qknnBl9W2CTqm5W1cPAVKBvAccPAqZEY3DGmNiyoJ8awgn0dYHtAc9zfdt+RkQqAj2BaQGbFXhfRJaJSMh7e0VkqIjkiEhOXl5eGMMyxkSTBX3vCifQB/tjDtU34ZfAwnxpm06qmoVL/QwXkQuDvVBVx6tqtqpmp6WlhTEsY0ysWND3lnACfS5QL+B5OrAjxLEDyZe2UdUdvp+7gOm4VJAxJknEKujfcAPUqAGlSlngj7VwAv1SoJGINBCR03DBfGb+g0SkKtAFeDtgWyURqeL/HegBrInGwI0x8RfNoH/kCOzZ497LZvuxVWigV9WjwB3AXGA98LqqrhWRYSIyLODQK4H3VfX7gG21gAUisgpYAsxS1TnRG74xJlGiGfTBUjyxZG2KjTFRVdwFU/Lzv4d/+dW9e62/fjDWptgYEzexmunv2WOpnqKyQG+MiZlQ3TWrV4fTTivee1uqJ3wW6I0xcRHYXXP3bpg4sfizfT8L+gWzQG+MSYhop3j8ggX9GjVSu5TTAr0xJuFiHfRTPb9vgd4YU6IUlNf3V97YrD8yFuiNMSVW/rz+7t026y8KC/TGmKQTq1RPIC+1a7BAb4xJavEI+qHaNSRLuscCvTHGM+KR34fC0z0l7QvAAr0xxpPikd/Pr6Tm+y3QG2NSSrxm/YESXeVjgd4Yk7IKm/VHq11DoETM+i3QG2NMPrFs1xBK4Kx/6NDoBnsL9MYYU4h4p3sOHXKtnqPFAr0xxkQg3HRPcb8AvvoqakO2QG+MMdEQ7Sqfs8+O3tgs0BtjTAwVJe1TsaJbQStaLNAbY0ychJP2qV8fxo+P7jKJYQV6EekpIhtFZJOI3BNkf1cR2SciK32PB8J9rTHGpLrAL4CtW6O/Fm6Zwg4QkdLAOOASIBdYKiIzVXVdvkM/UdU+RXytMcaYGAlnRt8W2KSqm1X1MDAV6Bvm+xfntcYYY6IgnEBfF9ge8DzXty2/DiKySkTeE5HmEb4WERkqIjkikpOXlxfGsIwxxoQjnEAfrCBI8z1fDtRX1dbAs8CMCF7rNqqOV9VsVc1OS0sLY1jGGGPCEU6gzwXqBTxPB3YEHqCq+1X1oO/32UBZEakRzmuNMcbElqgGnWCfPECkDPAF0B34GlgKXKOqawOOqQ18o6oqIm2BN4H6QOnCXhviM/OAbUU8pxrA7iK+Nlml4jlDap53Kp4zpOZ5R3rO9VU1aDqk0KobVT0qIncAc3GBe6KqrhWRYb79LwL9gdtE5CjwAzBQ3TdI0NeG8ZlFzt2ISI6qZhf19ckoFc8ZUvO8U/GcITXPO5rnXGighxPpmNn5tr0Y8PtzwHPhvtYYY0z82J2xxhjjcV4M9OMTPYAESMVzhtQ871Q8Z0jN847aORd6MdYYY0xy8+KM3hhjTAAL9MYY43GeCfSp0iVTROqJyEcisl5E1orIb3zbzxSRD0Tkv76f1RI91mgTkdIiskJE3vU9T4VzPkNE3hSRDb4/8w5eP28RGen7u71GRKaISHkvnrOITBSRXSKyJmBbyPMUkXt98W2jiFwayWd5ItAHdMnsBTQDBolIs8SOKmaOAr9V1aZAe2C471zvAT5U1UbAh77nXvMbYH3A81Q452eAOaraBGiNO3/PnreI1AVGANmq2gJ3/81AvHnOk4Ce+bYFPU/f/+MDgea+1zzvi3th8USgJ4W6ZKrqTlVd7vv9AO5//Lq4833Zd9jLwBUJGWCMiEg6cBnwUsBmr5/z6cCFwAQAVT2sqt/h8fPG3d9TwXdXfkVc2xTPnbOqzgf25tsc6jz7AlNV9SdV3QJswsW9sHgl0IfdJdNLRCQDaAN8BtRS1Z3gvgyAmgkcWiw8DfwBOB6wzevn3BDIA/7hS1m9JCKV8PB5q+rXwBPAV8BOYJ+qvo+HzzmfUOdZrBjnlUAfdpdMrxCRysA04C5V3Z/o8cSSiPQBdqnqskSPJc7KAFnAC6raBvgeb6QsQvLlpPsCDYCzgEoicm1iR1UiFCvGeSXQp1SXTBEpiwvyk1X1Ld/mb0Skjm9/HWBXosYXA52Ay0VkKy4td5GIvIa3zxnc3+tcVf3M9/xNXOD38nlfDGxR1TxVPQK8BXTE2+ccKNR5FivGeSXQLwUaiUgDETkNd9FiZoLHFBMiIric7XpV/WvArpnA9b7frwfejvfYYkVV71XVdFXNwP3Z/ltVr8XD5wygqv8DtovIub5N3YF1ePu8vwLai0hF39/17rjrUF4+50ChznMmMFBEyolIA6ARsCTsd1VVTzyA3riWyF8C9yV6PDE8z864f7KtBlb6Hr2B6rir9P/1/Twz0WON0fl3Bd71/e75cwYygRzfn/cMoJrXzxv4M7ABWAO8CpTz4jkDU3DXIY7gZuw3FXSewH2++LYR6BXJZ1kLBGOM8TivpG6MMcaEYIHeGGM8zgK9McZ4nAV6Y4zxOAv0xhjjcRbojTHG4yzQG2OMx/1/EYUXwBthjysAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "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": [
    "auc=history.history['auc']\n",
    "val_auc=history.history['val_auc']\n",
    "\n",
    "acc=history.history['accuracy']\n",
    "val_acc=history.history['val_accuracy']\n",
    "loss=history.history['loss']\n",
    "val_loss=history.history['val_loss']\n",
    "\n",
    "epochs=range(len(acc))\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.plot(epochs,loss,'bo',label=\"Training Loss\")\n",
    "plt.plot(epochs,val_loss,'r',label=\"Validation Loss\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "\n",
    "plt.plot(epochs,auc,'bo',label=\"Training AUC\")\n",
    "plt.plot(epochs,val_auc,'r',label=\"Validation AUC\")\n",
    "plt.legend()\n",
    "plt.figure()\n",
    "\n",
    "plt.plot(epochs,acc,'bo',label=\"Training Accuracy\")\n",
    "plt.plot(epochs,val_acc,'r',label=\"Validation Accuracy\")\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 1562,
     "status": "ok",
     "timestamp": 1619472386251,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "2k8RzXSFvYjT",
    "outputId": "a21565a8-4579-4bdb-a2b2-da8341c5275c"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
      "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
      "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
      "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
      "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
      "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
      "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
      "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
      "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
      "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
      "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
      "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
      "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
      "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
      "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
      "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
      "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
      "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
      "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
      "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
      "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
      "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
      "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "arc_face (ArcFace)              (None, 128)          16384       Bottleneck[0][0]                 \n",
      "__________________________________________________________________________________________________\n",
      "dense_3 (Dense)                 (None, 15)           1935        arc_face[0][0]                   \n",
      "==================================================================================================\n",
      "Total params: 22,826,079\n",
      "Trainable params: 18,319\n",
      "Non-trainable params: 22,807,760\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 1327,
     "status": "ok",
     "timestamp": 1619473249062,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "vpB6CtjbveC7",
    "outputId": "3a50fbdd-cf2c-4238-e368-3f1d1b344076"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_1\"\n",
      "__________________________________________________________________________________________________\n",
      "Layer (type)                    Output Shape         Param #     Connected to                     \n",
      "==================================================================================================\n",
      "input_1 (InputLayer)            [(None, 160, 160, 3) 0                                            \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3 (Conv2D)          (None, 79, 79, 32)   864         input_1[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3_BatchNorm (BatchN (None, 79, 79, 32)   96          Conv2d_1a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_1a_3x3_Activation (Activ (None, 79, 79, 32)   0           Conv2d_1a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3 (Conv2D)          (None, 77, 77, 32)   9216        Conv2d_1a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3_BatchNorm (BatchN (None, 77, 77, 32)   96          Conv2d_2a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2a_3x3_Activation (Activ (None, 77, 77, 32)   0           Conv2d_2a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3 (Conv2D)          (None, 77, 77, 64)   18432       Conv2d_2a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3_BatchNorm (BatchN (None, 77, 77, 64)   192         Conv2d_2b_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_2b_3x3_Activation (Activ (None, 77, 77, 64)   0           Conv2d_2b_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "MaxPool_3a_3x3 (MaxPooling2D)   (None, 38, 38, 64)   0           Conv2d_2b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1 (Conv2D)          (None, 38, 38, 80)   5120        MaxPool_3a_3x3[0][0]             \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1_BatchNorm (BatchN (None, 38, 38, 80)   240         Conv2d_3b_1x1[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_3b_1x1_Activation (Activ (None, 38, 38, 80)   0           Conv2d_3b_1x1_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3 (Conv2D)          (None, 36, 36, 192)  138240      Conv2d_3b_1x1_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3_BatchNorm (BatchN (None, 36, 36, 192)  576         Conv2d_4a_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4a_3x3_Activation (Activ (None, 36, 36, 192)  0           Conv2d_4a_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3 (Conv2D)          (None, 17, 17, 256)  442368      Conv2d_4a_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3_BatchNorm (BatchN (None, 17, 17, 256)  768         Conv2d_4b_3x3[0][0]              \n",
      "__________________________________________________________________________________________________\n",
      "Conv2d_4b_3x3_Activation (Activ (None, 17, 17, 256)  0           Conv2d_4b_3x3_BatchNorm[0][0]    \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Conv2d_4b_3x3_Activation[0][0]   \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_1_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_1_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_1_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_1_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_1_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_1_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_1_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_1_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_1_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_1_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_1_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Conv2d_4b_3x3_Activation[0][0]   \n",
      "                                                                 Block35_1_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_1_Activation (Activatio (None, 17, 17, 256)  0           Block35_1_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_2_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_2_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_2_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_2_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_2_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_2_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_2_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_2_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_2_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_2_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_2_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_1_Activation[0][0]       \n",
      "                                                                 Block35_2_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_2_Activation (Activatio (None, 17, 17, 256)  0           Block35_2_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_3_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_3_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_3_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_3_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_3_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_3_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_3_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_3_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_3_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_3_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_3_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_2_Activation[0][0]       \n",
      "                                                                 Block35_3_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_3_Activation (Activatio (None, 17, 17, 256)  0           Block35_3_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_4_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_4_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_4_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_4_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_4_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_4_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_4_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_4_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_4_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_4_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_4_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_3_Activation[0][0]       \n",
      "                                                                 Block35_4_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_4_Activation (Activatio (None, 17, 17, 256)  0           Block35_4_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0a_1x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1 ( (None, 17, 17, 32)   8192        Block35_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   9216        Block35_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   9216        Block35_5_Branch_2_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1_B (None, 17, 17, 32)   96          Block35_5_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   96          Block35_5_Branch_1_Conv2d_0b_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   96          Block35_5_Branch_2_Conv2d_0c_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_0_Conv2d_1x1_A (None, 17, 17, 32)   0           Block35_5_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_1_Conv2d_0b_3x (None, 17, 17, 32)   0           Block35_5_Branch_1_Conv2d_0b_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Branch_2_Conv2d_0c_3x (None, 17, 17, 32)   0           Block35_5_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Concatenate (Concaten (None, 17, 17, 96)   0           Block35_5_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block35_5_Branch_1_Conv2d_0b_3x3_\n",
      "                                                                 Block35_5_Branch_2_Conv2d_0c_3x3_\n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Conv2d_1x1 (Conv2D)   (None, 17, 17, 256)  24832       Block35_5_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_ScaleSum (Lambda)     (None, 17, 17, 256)  0           Block35_4_Activation[0][0]       \n",
      "                                                                 Block35_5_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block35_5_Activation (Activatio (None, 17, 17, 256)  0           Block35_5_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  49152       Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0a_1x1 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  331776      Mixed_6a_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  576         Mixed_6a_Branch_1_Conv2d_0b_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_0b_3x3 (None, 17, 17, 192)  0           Mixed_6a_Branch_1_Conv2d_0b_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    884736      Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    442368      Mixed_6a_Branch_1_Conv2d_0b_3x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    1152        Mixed_6a_Branch_0_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    768         Mixed_6a_Branch_1_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_0_Conv2d_1a_3x3 (None, 8, 8, 384)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_1_Conv2d_1a_3x3 (None, 8, 8, 256)    0           Mixed_6a_Branch_1_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a_Branch_2_MaxPool_1a_3x (None, 8, 8, 256)    0           Block35_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_6a (Concatenate)          (None, 8, 8, 896)    0           Mixed_6a_Branch_0_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_6a_Branch_1_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_6a_Branch_2_MaxPool_1a_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Mixed_6a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_1_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_1_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_1_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_1_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_1_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_1_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_1_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Block17_1_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_1_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Mixed_6a[0][0]                   \n",
      "                                                                 Block17_1_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_1_Activation (Activatio (None, 8, 8, 896)    0           Block17_1_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_1_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_2_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_2_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_2_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_2_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_2_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_2_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_2_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_2_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_1_Activation[0][0]       \n",
      "                                                                 Block17_2_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_2_Activation (Activatio (None, 8, 8, 896)    0           Block17_2_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_2_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_3_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_3_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_3_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_3_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_3_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_3_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_3_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_3_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_2_Activation[0][0]       \n",
      "                                                                 Block17_3_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_3_Activation (Activatio (None, 8, 8, 896)    0           Block17_3_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_3_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_4_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_4_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_4_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_4_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_4_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_4_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_4_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_4_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_3_Activation[0][0]       \n",
      "                                                                 Block17_4_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_4_Activation (Activatio (None, 8, 8, 896)    0           Block17_4_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_4_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_5_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_5_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_5_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_5_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_5_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_5_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_5_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_5_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_4_Activation[0][0]       \n",
      "                                                                 Block17_5_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_5_Activation (Activatio (None, 8, 8, 896)    0           Block17_5_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_5_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_6_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_6_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_6_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_6_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_6_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_6_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_6_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_6_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_5_Activation[0][0]       \n",
      "                                                                 Block17_6_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_6_Activation (Activatio (None, 8, 8, 896)    0           Block17_6_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_6_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_7_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_7_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_7_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_7_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_7_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_7_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_7_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_7_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_6_Activation[0][0]       \n",
      "                                                                 Block17_7_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_7_Activation (Activatio (None, 8, 8, 896)    0           Block17_7_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_7_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_8_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_8_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_8_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_8_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_8_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_8_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_8_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_8_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_7_Activation[0][0]       \n",
      "                                                                 Block17_8_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_8_Activation (Activatio (None, 8, 8, 896)    0           Block17_8_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0a_1x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0a_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0a_1x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0b_1x7[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0b_1x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1 ( (None, 8, 8, 128)    114688      Block17_8_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    114688      Block17_9_Branch_1_Conv2d_0b_1x7_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1_B (None, 8, 8, 128)    384         Block17_9_Branch_0_Conv2d_1x1[0][\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    384         Block17_9_Branch_1_Conv2d_0c_7x1[\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_0_Conv2d_1x1_A (None, 8, 8, 128)    0           Block17_9_Branch_0_Conv2d_1x1_Bat\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Branch_1_Conv2d_0c_7x (None, 8, 8, 128)    0           Block17_9_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Concatenate (Concaten (None, 8, 8, 256)    0           Block17_9_Branch_0_Conv2d_1x1_Act\n",
      "                                                                 Block17_9_Branch_1_Conv2d_0c_7x1_\n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Conv2d_1x1 (Conv2D)   (None, 8, 8, 896)    230272      Block17_9_Concatenate[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_ScaleSum (Lambda)     (None, 8, 8, 896)    0           Block17_8_Activation[0][0]       \n",
      "                                                                 Block17_9_Conv2d_1x1[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_9_Activation (Activatio (None, 8, 8, 896)    0           Block17_9_ScaleSum[0][0]         \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0a_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0a_1x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0b_1 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1  (None, 8, 8, 128)    114688      Block17_9_Activation[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    114688      Block17_10_Branch_1_Conv2d_0b_1x7\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    384         Block17_10_Branch_0_Conv2d_1x1[0]\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    384         Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_0_Conv2d_1x1_ (None, 8, 8, 128)    0           Block17_10_Branch_0_Conv2d_1x1_Ba\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Branch_1_Conv2d_0c_7 (None, 8, 8, 128)    0           Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Concatenate (Concate (None, 8, 8, 256)    0           Block17_10_Branch_0_Conv2d_1x1_Ac\n",
      "                                                                 Block17_10_Branch_1_Conv2d_0c_7x1\n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Conv2d_1x1 (Conv2D)  (None, 8, 8, 896)    230272      Block17_10_Concatenate[0][0]     \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_ScaleSum (Lambda)    (None, 8, 8, 896)    0           Block17_9_Activation[0][0]       \n",
      "                                                                 Block17_10_Conv2d_1x1[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Block17_10_Activation (Activati (None, 8, 8, 896)    0           Block17_10_ScaleSum[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    229376      Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    589824      Mixed_7a_Branch_2_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_0_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    768         Mixed_7a_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    768         Mixed_7a_Branch_2_Conv2d_0b_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_0_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_0a_1x1 (None, 8, 8, 256)    0           Mixed_7a_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_0b_3x3 (None, 8, 8, 256)    0           Mixed_7a_Branch_2_Conv2d_0b_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    884736      Mixed_7a_Branch_0_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    589824      Mixed_7a_Branch_2_Conv2d_0b_3x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    1152        Mixed_7a_Branch_0_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_1_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    768         Mixed_7a_Branch_2_Conv2d_1a_3x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_0_Conv2d_1a_3x3 (None, 3, 3, 384)    0           Mixed_7a_Branch_0_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_1_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_1_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_2_Conv2d_1a_3x3 (None, 3, 3, 256)    0           Mixed_7a_Branch_2_Conv2d_1a_3x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a_Branch_3_MaxPool_1a_3x (None, 3, 3, 896)    0           Block17_10_Activation[0][0]      \n",
      "__________________________________________________________________________________________________\n",
      "Mixed_7a (Concatenate)          (None, 3, 3, 1792)   0           Mixed_7a_Branch_0_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_1_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_2_Conv2d_1a_3x3_A\n",
      "                                                                 Mixed_7a_Branch_3_MaxPool_1a_3x3[\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Mixed_7a[0][0]                   \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_1_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_1_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_1_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_1_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_1_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_1_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_1_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_1_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Mixed_7a[0][0]                   \n",
      "                                                                 Block8_1_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_1_Activation (Activation (None, 3, 3, 1792)   0           Block8_1_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_1_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_2_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_2_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_2_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_2_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_2_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_2_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_2_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_2_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_1_Activation[0][0]        \n",
      "                                                                 Block8_2_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_2_Activation (Activation (None, 3, 3, 1792)   0           Block8_2_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_2_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_3_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_3_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_3_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_3_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_3_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_3_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_3_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_3_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_2_Activation[0][0]        \n",
      "                                                                 Block8_3_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_3_Activation (Activation (None, 3, 3, 1792)   0           Block8_3_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_3_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_4_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_4_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_4_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_4_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_4_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_4_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_4_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_4_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_3_Activation[0][0]        \n",
      "                                                                 Block8_4_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_4_Activation (Activation (None, 3, 3, 1792)   0           Block8_4_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_4_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_5_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_5_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_5_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_5_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_5_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_5_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_5_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_5_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_4_Activation[0][0]        \n",
      "                                                                 Block8_5_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_5_Activation (Activation (None, 3, 3, 1792)   0           Block8_5_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0a_1x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0a_1x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0a_1x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0a_1x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0b_1x3[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0b_1x3 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0b_1x3_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1 (C (None, 3, 3, 192)    344064      Block8_5_Activation[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    110592      Block8_6_Branch_1_Conv2d_0b_1x3_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1_Ba (None, 3, 3, 192)    576         Block8_6_Branch_0_Conv2d_1x1[0][0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    576         Block8_6_Branch_1_Conv2d_0c_3x1[0\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_0_Conv2d_1x1_Ac (None, 3, 3, 192)    0           Block8_6_Branch_0_Conv2d_1x1_Batc\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Branch_1_Conv2d_0c_3x1 (None, 3, 3, 192)    0           Block8_6_Branch_1_Conv2d_0c_3x1_B\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Concatenate (Concatena (None, 3, 3, 384)    0           Block8_6_Branch_0_Conv2d_1x1_Acti\n",
      "                                                                 Block8_6_Branch_1_Conv2d_0c_3x1_A\n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_Conv2d_1x1 (Conv2D)    (None, 3, 3, 1792)   689920      Block8_6_Concatenate[0][0]       \n",
      "__________________________________________________________________________________________________\n",
      "Block8_6_ScaleSum (Lambda)      (None, 3, 3, 1792)   0           Block8_5_Activation[0][0]        \n",
      "                                                                 Block8_6_Conv2d_1x1[0][0]        \n",
      "__________________________________________________________________________________________________\n",
      "AvgPool (GlobalAveragePooling2D (None, 1792)         0           Block8_6_ScaleSum[0][0]          \n",
      "__________________________________________________________________________________________________\n",
      "Dropout (Dropout)               (None, 1792)         0           AvgPool[0][0]                    \n",
      "__________________________________________________________________________________________________\n",
      "Bottleneck (Dense)              (None, 128)          229376      Dropout[0][0]                    \n",
      "==================================================================================================\n",
      "Total params: 22,807,760\n",
      "Trainable params: 0\n",
      "Non-trainable params: 22,807,760\n",
      "__________________________________________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model2=Model(model.input,model.layers[-3].output)\n",
    "model2.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "import cv2\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def img_to_encoding(image_path, model):\n",
    "    img1 = cv2.imread(image_path, 1)\n",
    "    img = img1[...,::-1]\n",
    "    img = np.around(np.transpose(img, (2,0,1))/255.0, decimals=12)\n",
    "    x_train = np.array([img])\n",
    "    embedding = model.predict_on_batch(x_train)\n",
    "    return embedding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "in user code:\n\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1478 predict_function  *\n        return step_function(self, iterator)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1468 step_function  **\n        outputs = model.distribute_strategy.run(run_step, args=(data,))\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1259 run\n        return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2730 call_for_each_replica\n        return self._call_for_each_replica(fn, args, kwargs)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:3417 _call_for_each_replica\n        return fn(*args, **kwargs)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1461 run_step  **\n        outputs = model.predict_step(data)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1434 predict_step\n        return self(x, training=False)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:998 __call__\n        input_spec.assert_input_compatibility(self.input_spec, inputs, self.name)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\input_spec.py:274 assert_input_compatibility\n        ', found shape=' + display_shape(x.shape))\n\n    ValueError: Input 0 is incompatible with layer model: expected shape=(None, 160, 160, 3), found shape=(1, 3, 286, 216)\n",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-27-bfb890e6e880>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[0mdatabase\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m{\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 2\u001b[1;33m \u001b[0mdatabase\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"Joelyne\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimg_to_encoding\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"C:/Users/Diana/Desktop/Model Work/DataCollection/Joelyne1/IMG_3752.jpg\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      3\u001b[0m \u001b[0mdatabase\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"Diana\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimg_to_encoding\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Diana/IMG_1995.jpg\"\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mmodel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      4\u001b[0m \u001b[0mdatabase\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"David\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimg_to_encoding\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/David/IMG_1023.jpg\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m \u001b[0mdatabase\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m\"Dorothy\"\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mimg_to_encoding\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Dorothy/Dorothy1.jpg\"\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m<ipython-input-26-74b7eb35cec7>\u001b[0m in \u001b[0;36mimg_to_encoding\u001b[1;34m(image_path, model)\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[0mimg\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0maround\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mtranspose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mimg\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m(\u001b[0m\u001b[1;36m2\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m0\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m/\u001b[0m\u001b[1;36m255.0\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdecimals\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;36m12\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m     \u001b[0mx_train\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0marray\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mimg\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 6\u001b[1;33m     \u001b[0membedding\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mmodel\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict_on_batch\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mx_train\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      7\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0membedding\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py\u001b[0m in \u001b[0;36mpredict_on_batch\u001b[1;34m(self, x)\u001b[0m\n\u001b[0;32m   1818\u001b[0m       \u001b[0miterator\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mdata_adapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msingle_batch_iterator\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mdistribute_strategy\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mx\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1819\u001b[0m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict_function\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmake_predict_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1820\u001b[1;33m       \u001b[0moutputs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mpredict_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0miterator\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1821\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mtf_utils\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_numpy_or_python_type\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0moutputs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   1822\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m__call__\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m    826\u001b[0m     \u001b[0mtracing_count\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexperimental_get_tracing_count\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    827\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mtrace\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTrace\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_name\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mtm\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 828\u001b[1;33m       \u001b[0mresult\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_call\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    829\u001b[0m       \u001b[0mcompiler\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"xla\"\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_experimental_compile\u001b[0m \u001b[1;32melse\u001b[0m \u001b[1;34m\"nonXla\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    830\u001b[0m       \u001b[0mnew_tracing_count\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mexperimental_get_tracing_count\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m_call\u001b[1;34m(self, *args, **kwds)\u001b[0m\n\u001b[0;32m    869\u001b[0m       \u001b[1;31m# This is the first call of __call__, so we have to initialize.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    870\u001b[0m       \u001b[0minitializers\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 871\u001b[1;33m       \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_initialize\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0madd_initializers_to\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0minitializers\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    872\u001b[0m     \u001b[1;32mfinally\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    873\u001b[0m       \u001b[1;31m# At this point we know that the initialization is complete (or less\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36m_initialize\u001b[1;34m(self, args, kwds, add_initializers_to)\u001b[0m\n\u001b[0;32m    724\u001b[0m     self._concrete_stateful_fn = (\n\u001b[0;32m    725\u001b[0m         self._stateful_fn._get_concrete_function_internal_garbage_collected(  # pylint: disable=protected-access\n\u001b[1;32m--> 726\u001b[1;33m             *args, **kwds))\n\u001b[0m\u001b[0;32m    727\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    728\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0minvalid_creator_scope\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0munused_args\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0munused_kwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_get_concrete_function_internal_garbage_collected\u001b[1;34m(self, *args, **kwargs)\u001b[0m\n\u001b[0;32m   2967\u001b[0m       \u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2968\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_lock\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 2969\u001b[1;33m       \u001b[0mgraph_function\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_maybe_define_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   2970\u001b[0m     \u001b[1;32mreturn\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   2971\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_maybe_define_function\u001b[1;34m(self, args, kwargs)\u001b[0m\n\u001b[0;32m   3359\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3360\u001b[0m           \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmissed\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0madd\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcall_context_key\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3361\u001b[1;33m           \u001b[0mgraph_function\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_create_graph_function\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   3362\u001b[0m           \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_cache\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mprimary\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mcache_key\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mgraph_function\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3363\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\eager\\function.py\u001b[0m in \u001b[0;36m_create_graph_function\u001b[1;34m(self, args, kwargs, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m   3204\u001b[0m             \u001b[0marg_names\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0marg_names\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3205\u001b[0m             \u001b[0moverride_flat_arg_shapes\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0moverride_flat_arg_shapes\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 3206\u001b[1;33m             capture_by_value=self._capture_by_value),\n\u001b[0m\u001b[0;32m   3207\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_function_attributes\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3208\u001b[0m         \u001b[0mfunction_spec\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mfunction_spec\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mfunc_graph_from_py_func\u001b[1;34m(name, python_func, args, kwargs, signature, func_graph, autograph, autograph_options, add_control_dependencies, arg_names, op_return_value, collections, capture_by_value, override_flat_arg_shapes)\u001b[0m\n\u001b[0;32m    988\u001b[0m         \u001b[0m_\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0moriginal_func\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mtf_decorator\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munwrap\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpython_func\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    989\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 990\u001b[1;33m       \u001b[0mfunc_outputs\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpython_func\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0mfunc_args\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mfunc_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    991\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    992\u001b[0m       \u001b[1;31m# invariant: `func_outputs` contains only Tensors, CompositeTensors,\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\eager\\def_function.py\u001b[0m in \u001b[0;36mwrapped_fn\u001b[1;34m(*args, **kwds)\u001b[0m\n\u001b[0;32m    632\u001b[0m             \u001b[0mxla_context\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mExit\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    633\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 634\u001b[1;33m           \u001b[0mout\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mweak_wrapped_fn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__wrapped__\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m*\u001b[0m\u001b[0margs\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    635\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mout\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    636\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32m~\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\framework\\func_graph.py\u001b[0m in \u001b[0;36mwrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m    975\u001b[0m           \u001b[1;32mexcept\u001b[0m \u001b[0mException\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m:\u001b[0m  \u001b[1;31m# pylint:disable=broad-except\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    976\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mhasattr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m\"ag_error_metadata\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 977\u001b[1;33m               \u001b[1;32mraise\u001b[0m \u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mag_error_metadata\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mto_exception\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    978\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    979\u001b[0m               \u001b[1;32mraise\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: in user code:\n\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1478 predict_function  *\n        return step_function(self, iterator)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1468 step_function  **\n        outputs = model.distribute_strategy.run(run_step, args=(data,))\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:1259 run\n        return self._extended.call_for_each_replica(fn, args=args, kwargs=kwargs)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:2730 call_for_each_replica\n        return self._call_for_each_replica(fn, args, kwargs)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\distribute\\distribute_lib.py:3417 _call_for_each_replica\n        return fn(*args, **kwargs)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1461 run_step  **\n        outputs = model.predict_step(data)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\training.py:1434 predict_step\n        return self(x, training=False)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\base_layer.py:998 __call__\n        input_spec.assert_input_compatibility(self.input_spec, inputs, self.name)\n    C:\\Users\\Diana\\anaconda3\\envs\\tf\\lib\\site-packages\\tensorflow\\python\\keras\\engine\\input_spec.py:274 assert_input_compatibility\n        ', found shape=' + display_shape(x.shape))\n\n    ValueError: Input 0 is incompatible with layer model: expected shape=(None, 160, 160, 3), found shape=(1, 3, 286, 216)\n"
     ]
    }
   ],
   "source": [
    "database = {}\n",
    "database[\"Joelyne\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/DataCollection/Joelyne1/IMG_3752.jpg\", model)\n",
    "database[\"Diana\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Diana/IMG_1995.jpg\",model)\n",
    "database[\"David\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/David/IMG_1023.jpg\", model)\n",
    "database[\"Dorothy\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Dorothy/Dorothy1.jpg\", model)\n",
    "database[\"Gloria\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Gloria/Gloria1.jpg\", model)\n",
    "database[\"Denis\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Denis/Denis1.jpg\", model)\n",
    "database[\"Melissa\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Melissa/Melissa1.jpg\", model)\n",
    "database[\"Mel1\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Mel1/Mel1.jpg\", model)\n",
    "database[\"Maggie\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Mel2/Maggie1.jpg\", model)\n",
    "database[\"Geog\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Mel3/Geog1.jpg\", model)\n",
    "database[\"Ali\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Ali/Ali1.jpg\", model)\n",
    "database[\"Adonia\"] = img_to_encoding(\"C:/Users/Diana/Desktop/Model Work/CroppedImages/ClusteredImages/Adonia/Adonia.jpg\", model)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "ILR3Wqmb7bwV"
   },
   "outputs": [],
   "source": [
    "import tensorflow.compat.v1 as tf\n",
    "tf.disable_v2_behavior()\n",
    "sess=tf.Session()\n",
    "from tensorflow.python.framework import graph_io\n",
    "frozen = tf.graph_util.convert_variables_to_constants(sess, sess.graph_def, [\"name_of_the_output_node\"])\n",
    "graph_io.write_graph(frozen, '/tmp/session-frozens', 'inference_graph.pb', as_text=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 89
    },
    "executionInfo": {
     "elapsed": 1781,
     "status": "ok",
     "timestamp": 1616953191959,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "Wci41p_z2LSO",
    "outputId": "1dcb8f36-ea34-4e23-bce6-af6f8c04c912"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/backend.py:434: UserWarning: `tf.keras.backend.set_learning_phase` is deprecated and will be removed after 2020-10-11. To update it, simply pass a True/False value to the `training` argument of the `__call__` method of your layer or model.\n",
      "  warnings.warn('`tf.keras.backend.set_learning_phase` is deprecated and '\n"
     ]
    },
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'kerasFacenet.pb'"
      ]
     },
     "execution_count": 79,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import tensorflow.compat.v1 as tf\n",
    "tf.disable_v2_behavior()\n",
    "\n",
    "from keras import backend as K \n",
    "from keras.models import Sequential, Model\n",
    "\n",
    "\n",
    "sess=tf.Session()\n",
    "K.set_learning_phase(0)   # Set the learning phase to 0\n",
    "model = model2 \n",
    "config = model2.get_config()\n",
    "#weights = model2.get_weights()\n",
    "#model = Sequential.from_config(config)\n",
    "output_node = model2.output.name.split(':')[0]  # We need this in the next step\n",
    "graph_file = \"kerasFacenet.pb\" \n",
    "ckpt_file = \"kerasFacenet.ckpt\"\n",
    "saver = tf.train.Saver(sharded=True)\n",
    "tf.train.write_graph(sess.graph_def, '', graph_file)\n",
    "#saver.save(sess, ckpt_file) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 1000
    },
    "executionInfo": {
     "elapsed": 48568,
     "status": "ok",
     "timestamp": 1619473307385,
     "user": {
      "displayName": "blaise mavin",
      "photoUrl": "https://lh3.googleusercontent.com/a-/AOh14GgUhbcpHWNXczan3ui3BGJe8CM_G7bUv9e9RG5m9A=s64",
      "userId": "14168894997160457371"
     },
     "user_tz": -180
    },
    "id": "kue-AGmHwiod",
    "outputId": "5beaef0a-adcf-4f50-9456-352c2bc2ed0e"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "INFO:tensorflow:Assets written to: /tmp/saved-models/assets\n",
      "x\n",
      "model_12/Conv2d_1a_3x3/Conv2D/ReadVariableOp/resource\n",
      "model_12/Conv2d_1a_3x3/Conv2D/ReadVariableOp\n",
      "model_12/Conv2d_1a_3x3/Conv2D\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/scale\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/ReadVariableOp\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Conv2d_1a_3x3_BatchNorm/FusedBatchNormV3\n",
      "model_12/Conv2d_1a_3x3_Activation/Relu\n",
      "model_12/Conv2d_2a_3x3/Conv2D/ReadVariableOp/resource\n",
      "model_12/Conv2d_2a_3x3/Conv2D/ReadVariableOp\n",
      "model_12/Conv2d_2a_3x3/Conv2D\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/scale\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/ReadVariableOp\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Conv2d_2a_3x3_BatchNorm/FusedBatchNormV3\n",
      "model_12/Conv2d_2a_3x3_Activation/Relu\n",
      "model_12/Conv2d_2b_3x3/Conv2D/ReadVariableOp/resource\n",
      "model_12/Conv2d_2b_3x3/Conv2D/ReadVariableOp\n",
      "model_12/Conv2d_2b_3x3/Conv2D\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/scale\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/ReadVariableOp\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Conv2d_2b_3x3_BatchNorm/FusedBatchNormV3\n",
      "model_12/Conv2d_2b_3x3_Activation/Relu\n",
      "model_12/MaxPool_3a_3x3/MaxPool\n",
      "model_12/Conv2d_3b_1x1/Conv2D/ReadVariableOp/resource\n",
      "model_12/Conv2d_3b_1x1/Conv2D/ReadVariableOp\n",
      "model_12/Conv2d_3b_1x1/Conv2D\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/scale\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/ReadVariableOp\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Conv2d_3b_1x1_BatchNorm/FusedBatchNormV3\n",
      "model_12/Conv2d_3b_1x1_Activation/Relu\n",
      "model_12/Conv2d_4a_3x3/Conv2D/ReadVariableOp/resource\n",
      "model_12/Conv2d_4a_3x3/Conv2D/ReadVariableOp\n",
      "model_12/Conv2d_4a_3x3/Conv2D\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/scale\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/ReadVariableOp\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Conv2d_4a_3x3_BatchNorm/FusedBatchNormV3\n",
      "model_12/Conv2d_4a_3x3_Activation/Relu\n",
      "model_12/Conv2d_4b_3x3/Conv2D/ReadVariableOp/resource\n",
      "model_12/Conv2d_4b_3x3/Conv2D/ReadVariableOp\n",
      "model_12/Conv2d_4b_3x3/Conv2D\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/scale\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/ReadVariableOp\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Conv2d_4b_3x3_BatchNorm/FusedBatchNormV3\n",
      "model_12/Conv2d_4b_3x3_Activation/Relu\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D/ReadVariableOp\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1/Conv2D\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/scale\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/ReadVariableOp\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_BatchNorm/FusedBatchNormV3\n",
      "model_12/Block35_1_Branch_0_Conv2d_1x1_Activation/Relu\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1/Conv2D/ReadVariableOp\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1/Conv2D\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/scale\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/ReadVariableOp\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_BatchNorm/FusedBatchNormV3\n",
      "model_12/Block35_1_Branch_1_Conv2d_0a_1x1_Activation/Relu\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3/Conv2D/ReadVariableOp\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3/Conv2D\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/scale\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/ReadVariableOp\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
      "model_12/Block35_1_Branch_1_Conv2d_0b_3x3_BatchNorm/FusedBatchNormV3\n",
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    },
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "'/tmp/saved-model/facenet-Original-LastLayer.pb'"
      ]
     },
     "execution_count": 110,
     "metadata": {
      "tags": []
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow.python.framework.convert_to_constants import convert_variables_to_constants_v2\n",
    "\n",
    "tf.saved_model.save(model2, \"/tmp/saved-models\")\n",
    "\n",
    "# Convert Keras model to ConcreteFunction\n",
    "full_model = tf.function(lambda x: model2(x))\n",
    "full_model = full_model.get_concrete_function(\n",
    "    tf.TensorSpec(model.inputs[0].shape, model.inputs[0].dtype))\n",
    "\n",
    "# Get frozen ConcreteFunction\n",
    "frozen_func = convert_variables_to_constants_v2(full_model)\n",
    "frozen_func.graph.as_graph_def()\n",
    "\n",
    "layers = [op.name for op in frozen_func.graph.get_operations()]\n",
    "#print(\"-\" * 50)\n",
    "#print(\"Frozen model layers: \")\n",
    "for layer in layers:\n",
    "    print(layer)\n",
    "\n",
    "#print(\"-\" * 50)\n",
    "#print(\"Frozen model inputs: \")\n",
    "#print(frozen_func.inputs)\n",
    "#print(\"Frozen model outputs: \")\n",
    "#print(frozen_func.outputs)\n",
    "\n",
    "# Save frozen graph from frozen ConcreteFunction to hard drive\n",
    "tf.io.write_graph(graph_or_graph_def=frozen_func.graph,\n",
    "                  logdir=\"/tmp/saved-model\",\n",
    "                  name=\"facenet-Original-LastLayer.pb\",\n",
    "                  as_text=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "id": "0NvKeRsc8Xgd"
   },
   "outputs": [],
   "source": []
  }
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