FaceNetTrainingAlignment.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "TrainingFacenetRemontada (1).ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/BlaiseMarvin/FaceRecognitionPaymentSystem/blob/main/FaceNetTrainingAlignment.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8kc6LRT3n1zs"
      },
      "source": [
        "## RE-TRAINING THE FACENET MODEL USING BLACK-FACES"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mA_LhHNC9rpz",
        "outputId": "fb399502-82bf-413d-baad-e32b2339c062"
      },
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4kGn24yZZfd7"
      },
      "source": [
        "## The Arcface loss class"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FGXqL3j-7t_O"
      },
      "source": [
        "import math as m\n",
        "\n",
        "import numpy as np\n",
        "from tqdm import tqdm\n",
        "import math\n",
        "import os\n",
        "\n",
        "import tensorflow as tf\n",
        "\n",
        "import tensorflow.keras\n",
        "from tensorflow.keras.models import *\n",
        "from tensorflow.keras.models import load_model\n",
        "from tensorflow.keras.layers import *\n",
        "from tensorflow.keras.layers import Dense, Flatten, Dropout, Input\n",
        "from tensorflow.keras.optimizers import Adam, RMSprop\n",
        "from tensorflow.keras.metrics import categorical_crossentropy\n",
        "from tensorflow.keras.preprocessing import image\n",
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "from tensorflow.keras.layers import BatchNormalization\n",
        "from tensorflow.keras.layers import Conv2D\n",
        "from tensorflow.keras.layers import Layer\n",
        "from tensorflow.keras.applications.densenet import DenseNet121\n",
        "from tensorflow.keras.callbacks import *\n",
        "from tensorflow.keras import backend as K\n",
        "from tensorflow.keras import regularizers\n",
        "from tensorflow.keras.metrics import categorical_accuracy\n",
        "from tensorflow.keras import layers\n",
        "from tensorflow.keras import Model \n",
        "\n",
        "\n",
        "from sklearn.metrics import confusion_matrix\n",
        "import matplotlib.pyplot as plt"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_7G46HMXZeuF"
      },
      "source": [
        "# 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",
        "\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"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wPpKDHgpzMWU",
        "outputId": "b738b807-b490-422f-a166-d2ffff012035"
      },
      "source": [
        "import os\n",
        "from os import listdir\n",
        "\n",
        "path=\"/content/drive/MyDrive/NewDataset/Aligned/\"\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"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Name:  Renal count:  26\n",
            "Name:  Ruth count:  17\n",
            "Name:  Remuneration count:  63\n",
            "Name:  Salvador count:  35\n",
            "Name:  Sandra count:  35\n",
            "Name:  Vanny count:  30\n",
            "Name:  Peterson count:  44\n",
            "Name:  Samson count:  64\n",
            "Name:  Raymond count:  18\n",
            "Name:  Pesh count:  42\n",
            "Name:  Ntale count:  37\n",
            "Name:  Onyango count:  36\n",
            "Name:  Owor count:  46\n",
            "Name:  Nabata count:  46\n",
            "Name:  Mbonye count:  60\n",
            "Name:  Namubiru count:  50\n",
            "Name:  Mcvex count:  48\n",
            "Name:  Menk count:  52\n",
            "Name:  Nabwiso count:  55\n",
            "Name:  Nduhukire count:  53\n",
            "Name:  KenMugabi count:  48\n",
            "Name:  Marcus count:  43\n",
            "Name:  Malaika count:  55\n",
            "Name:  Maurice count:  32\n",
            "Name:  Lynda count:  46\n",
            "Name:  Katatumba count:  61\n",
            "Name:  Lucky count:  57\n",
            "Name:  Martha count:  38\n",
            "Name:  Maritza count:  62\n",
            "Name:  Lydia count:  71\n",
            "Name:  Kanyomozi count:  77\n",
            "Name:  Katamba count:  36\n",
            "Name:  Kansiime count:  32\n",
            "Name:  Julian count:  63\n",
            "Name:  Judithiana count:  50\n",
            "Name:  Kabuura count:  23\n",
            "Name:  Karungi count:  41\n",
            "Name:  GNL count:  25\n",
            "Name:  Jazmine count:  51\n",
            "Name:  Kabareebe count:  52\n",
            "Name:  Farid count:  71\n",
            "Name:  Desire count:  71\n",
            "Name:  Dorothy count:  18\n",
            "Name:  Cleopatra count:  37\n",
            "Name:  Gaetanok count:  33\n",
            "Name:  Daniel count:  73\n",
            "Name:  Diana count:  52\n",
            "Name:  Cindy count:  50\n",
            "Name:  Canary count:  39\n",
            "Name:  Gamzi count:  26\n",
            "Name:  Abenaki count:  48\n",
            "Name:  Alex count:  32\n",
            "Name:  Barbie count:  25\n",
            "Name:  Becky count:  36\n",
            "Name:  Brian count:  38\n",
            "Name:  Apass count:  26\n",
            "Name:  Babygloria count:  50\n",
            "Name:  Bettina count:  66\n",
            "Name:  Aloyo count:  48\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K4HiJlgE0JUU",
        "outputId": "b7ced947-c571-496d-97f2-e3112842681c"
      },
      "source": [
        "import os\n",
        "from os import listdir\n",
        "\n",
        "path=\"/content/drive/MyDrive/NewDataset/AlignedVal/\"\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)"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Name:  Vanny count:  13\n",
            "Name:  Sandra count:  9\n",
            "Name:  Peterson count:  10\n",
            "Name:  Remuneration count:  19\n",
            "Name:  Renal count:  7\n",
            "Name:  Samson count:  21\n",
            "Name:  Pesh count:  11\n",
            "Name:  Ruth count:  6\n",
            "Name:  Salvador count:  8\n",
            "Name:  Owor count:  9\n",
            "Name:  Raymond count:  4\n",
            "Name:  Onyango count:  7\n",
            "Name:  Namubiru count:  9\n",
            "Name:  Nduhukire count:  8\n",
            "Name:  Nabata count:  20\n",
            "Name:  Ntale count:  8\n",
            "Name:  Mbonye count:  13\n",
            "Name:  Nabwiso count:  19\n",
            "Name:  Maurice count:  6\n",
            "Name:  Mcvex count:  7\n",
            "Name:  Menk count:  10\n",
            "Name:  Martha count:  6\n",
            "Name:  Katatumba count:  19\n",
            "Name:  KenMugabi count:  8\n",
            "Name:  Lucky count:  16\n",
            "Name:  Malaika count:  10\n",
            "Name:  Maritza count:  12\n",
            "Name:  Katamba count:  10\n",
            "Name:  Marcus count:  8\n",
            "Name:  Lynda count:  7\n",
            "Name:  Lydia count:  11\n",
            "Name:  Karungi count:  7\n",
            "Name:  Kabuura count:  6\n",
            "Name:  Jazmine count:  9\n",
            "Name:  Kabareebe count:  9\n",
            "Name:  Kansiime count:  7\n",
            "Name:  GNL count:  7\n",
            "Name:  Julian count:  10\n",
            "Name:  Judithiana count:  12\n",
            "Name:  Kanyomozi count:  12\n",
            "Name:  Gamzi count:  6\n",
            "Name:  Gaetanok count:  4\n",
            "Name:  Farid count:  17\n",
            "Name:  Desire count:  21\n",
            "Name:  Canary count:  16\n",
            "Name:  Daniel count:  17\n",
            "Name:  Brian count:  5\n",
            "Name:  Dorothy count:  3\n",
            "Name:  Diana count:  9\n",
            "Name:  Cleopatra count:  10\n",
            "Name:  Cindy count:  16\n",
            "Name:  Bettina count:  14\n",
            "Name:  Abenaki count:  10\n",
            "Name:  Alex count:  4\n",
            "Name:  Becky count:  10\n",
            "Name:  Babygloria count:  9\n",
            "Name:  Barbie count:  3\n",
            "Name:  Aloyo count:  12\n",
            "Name:  Apass count:  7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Min14FmgoLZ7"
      },
      "source": [
        "#### Setting up the Image Data Generator API"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_oP9GPv9eyP_",
        "outputId": "aff97891-5230-42f0-db03-b6e146717c38"
      },
      "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=\"/content/drive/MyDrive/NewDataset/Aligned/\"\n",
        "VALIDATION_DIR=\"/content/drive/MyDrive/NewDataset/AlignedVal/\"\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), shuffle=False)\n",
        "validation_generator=validation_datagen.flow_from_directory(VALIDATION_DIR,class_mode='categorical',target_size=(160,160), shuffle=False, batch_size=1)\n",
        "\n",
        "#Load the facenet model architecture\n",
        "#model=load_model('/tmp/facenet/facenet_keras.h5')\n"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 2659 images belonging to 59 classes.\n",
            "Found 603 images belonging to 59 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xni0h7FSQ7oq"
      },
      "source": [
        "## Loading the facenet Model architecture"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IAs1PSgVLNP0",
        "outputId": "17b75743-1c1a-48a6-f6a2-2c97cb30b563"
      },
      "source": [
        "model=load_model('/content/drive/MyDrive/facenet_keras (1).h5')\n",
        "#A summary of the model architecture\n",
        "model.summary()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "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",
            "__________________________________________________________________________________________________\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"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rH7-R2Iz6LQy",
        "outputId": "d3b09a91-91ed-4a55-bc90-d0bbf6d0bdd7"
      },
      "source": [
        "print(\"Number of layers in the base model: \", len(model.layers))"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Number of layers in the base model:  426\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HWNkmU4SEBEm"
      },
      "source": [
        "local_weights_file='/content/drive/MyDrive/facenet_keras_weights.h5'\n",
        "model.load_weights(local_weights_file)\n",
        "\n",
        "for layer in model.layers:\n",
        "  layer.trainable=False"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yjnsrv9Vhpau"
      },
      "source": [
        "#Specify the last layer from the architecture, that you actually want\n",
        "last_layer=model.get_layer('Bottleneck')\n",
        "last_output=last_layer.output"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SyOcetAV_xoP",
        "outputId": "01a8222f-0d26-4c87-d893-7bc5546cd108"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "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",
            "__________________________________________________________________________________________________\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: 0\n",
            "Non-trainable params: 22,808,144\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NSQETUqLmN1n"
      },
      "source": [
        "#Code from arcface repo\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(59,activation='softmax')(arcface_output)\n",
        "\n",
        "model=Model(model.input,x)\n",
        "model.compile(optimizer=RMSprop(learning_rate=0.0001),loss='categorical_crossentropy',metrics=['accuracy',tf.keras.metrics.AUC(multi_label = True), tf.keras.metrics.Recall(),tf.keras.metrics.Precision()])"
      ],
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4SAQo-oSnM1b"
      },
      "source": [
        "early = EarlyStopping(monitor=\"val_loss\", mode=\"min\", patience=20)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oKi3UIyinOxd"
      },
      "source": [
        "reduce_lr = ReduceLROnPlateau(monitor='val_loss', factor=0.1,\n",
        "                              patience=2, min_lr=0.00001)"
      ],
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5mqfp8lknYYu"
      },
      "source": [
        "checkpoint_filepath= '/content/drive/MyDrive/Extracted/Model'\n",
        "model_checkpoint_callback=tf.keras.callbacks.ModelCheckpoint(\n",
        "    filepath=checkpoint_filepath,\n",
        "    save_weights_only=True,\n",
        "    monitor='val_loss',\n",
        "    mode='min',\n",
        "    save_best_only=True)"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qje4VW0jl8d5",
        "outputId": "7b3ef172-a836-41eb-995e-5168dd98b374"
      },
      "source": [
        "#training for 100 epochs\n",
        "history=model.fit(training_generator,validation_data=validation_generator,epochs=100,verbose=2, callbacks=[reduce_lr,early,model_checkpoint_callback])"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/100\n",
            "84/84 - 16s - loss: 0.7087 - accuracy: 0.9447 - auc: 0.9982 - recall: 0.6375 - precision: 0.9994 - val_loss: 0.9971 - val_accuracy: 0.8756 - val_auc: 0.9872 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 2/100\n",
            "84/84 - 16s - loss: 0.7090 - accuracy: 0.9421 - auc: 0.9982 - recall: 0.6360 - precision: 0.9994 - val_loss: 0.9957 - val_accuracy: 0.8756 - val_auc: 0.9872 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 3/100\n",
            "84/84 - 16s - loss: 0.7063 - accuracy: 0.9432 - auc: 0.9980 - recall: 0.6397 - precision: 1.0000 - val_loss: 0.9946 - val_accuracy: 0.8756 - val_auc: 0.9873 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 4/100\n",
            "84/84 - 16s - loss: 0.7052 - accuracy: 0.9455 - auc: 0.9981 - recall: 0.6401 - precision: 1.0000 - val_loss: 0.9934 - val_accuracy: 0.8756 - val_auc: 0.9872 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 5/100\n",
            "84/84 - 16s - loss: 0.7052 - accuracy: 0.9440 - auc: 0.9982 - recall: 0.6416 - precision: 0.9994 - val_loss: 0.9928 - val_accuracy: 0.8756 - val_auc: 0.9873 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 6/100\n",
            "84/84 - 16s - loss: 0.7035 - accuracy: 0.9413 - auc: 0.9982 - recall: 0.6397 - precision: 1.0000 - val_loss: 0.9916 - val_accuracy: 0.8756 - val_auc: 0.9872 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 7/100\n",
            "84/84 - 16s - loss: 0.7008 - accuracy: 0.9451 - auc: 0.9982 - recall: 0.6446 - precision: 0.9994 - val_loss: 0.9910 - val_accuracy: 0.8756 - val_auc: 0.9872 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 8/100\n",
            "84/84 - 16s - loss: 0.7016 - accuracy: 0.9447 - auc: 0.9979 - recall: 0.6435 - precision: 0.9994 - val_loss: 0.9898 - val_accuracy: 0.8756 - val_auc: 0.9873 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 9/100\n",
            "84/84 - 16s - loss: 0.6995 - accuracy: 0.9425 - auc: 0.9982 - recall: 0.6446 - precision: 1.0000 - val_loss: 0.9889 - val_accuracy: 0.8756 - val_auc: 0.9873 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 10/100\n",
            "84/84 - 16s - loss: 0.6968 - accuracy: 0.9425 - auc: 0.9982 - recall: 0.6461 - precision: 1.0000 - val_loss: 0.9879 - val_accuracy: 0.8756 - val_auc: 0.9873 - val_recall: 0.5655 - val_precision: 0.9884\n",
            "Epoch 11/100\n",
            "84/84 - 16s - loss: 0.6983 - accuracy: 0.9443 - auc: 0.9979 - recall: 0.6423 - precision: 0.9994 - val_loss: 0.9868 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5672 - val_precision: 0.9884\n",
            "Epoch 12/100\n",
            "84/84 - 16s - loss: 0.6957 - accuracy: 0.9436 - auc: 0.9982 - recall: 0.6450 - precision: 0.9994 - val_loss: 0.9851 - val_accuracy: 0.8756 - val_auc: 0.9873 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 13/100\n",
            "84/84 - 16s - loss: 0.6936 - accuracy: 0.9462 - auc: 0.9983 - recall: 0.6469 - precision: 1.0000 - val_loss: 0.9837 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 14/100\n",
            "84/84 - 16s - loss: 0.6922 - accuracy: 0.9428 - auc: 0.9984 - recall: 0.6450 - precision: 1.0000 - val_loss: 0.9829 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 15/100\n",
            "84/84 - 16s - loss: 0.6899 - accuracy: 0.9417 - auc: 0.9982 - recall: 0.6536 - precision: 1.0000 - val_loss: 0.9818 - val_accuracy: 0.8756 - val_auc: 0.9873 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 16/100\n",
            "84/84 - 16s - loss: 0.6907 - accuracy: 0.9462 - auc: 0.9982 - recall: 0.6521 - precision: 0.9994 - val_loss: 0.9810 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 17/100\n",
            "84/84 - 16s - loss: 0.6898 - accuracy: 0.9451 - auc: 0.9981 - recall: 0.6517 - precision: 0.9994 - val_loss: 0.9799 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 18/100\n",
            "84/84 - 16s - loss: 0.6882 - accuracy: 0.9432 - auc: 0.9982 - recall: 0.6521 - precision: 0.9994 - val_loss: 0.9788 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 19/100\n",
            "84/84 - 16s - loss: 0.6858 - accuracy: 0.9458 - auc: 0.9981 - recall: 0.6510 - precision: 1.0000 - val_loss: 0.9781 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5721 - val_precision: 0.9885\n",
            "Epoch 20/100\n",
            "84/84 - 16s - loss: 0.6847 - accuracy: 0.9458 - auc: 0.9983 - recall: 0.6570 - precision: 0.9994 - val_loss: 0.9774 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5705 - val_precision: 0.9885\n",
            "Epoch 21/100\n",
            "84/84 - 16s - loss: 0.6843 - accuracy: 0.9458 - auc: 0.9983 - recall: 0.6506 - precision: 0.9994 - val_loss: 0.9764 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5721 - val_precision: 0.9885\n",
            "Epoch 22/100\n",
            "84/84 - 16s - loss: 0.6837 - accuracy: 0.9432 - auc: 0.9981 - recall: 0.6536 - precision: 1.0000 - val_loss: 0.9753 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5804 - val_precision: 0.9887\n",
            "Epoch 23/100\n",
            "84/84 - 16s - loss: 0.6828 - accuracy: 0.9436 - auc: 0.9982 - recall: 0.6536 - precision: 1.0000 - val_loss: 0.9741 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5788 - val_precision: 0.9859\n",
            "Epoch 24/100\n",
            "84/84 - 16s - loss: 0.6821 - accuracy: 0.9451 - auc: 0.9982 - recall: 0.6533 - precision: 0.9994 - val_loss: 0.9729 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5788 - val_precision: 0.9887\n",
            "Epoch 25/100\n",
            "84/84 - 16s - loss: 0.6804 - accuracy: 0.9455 - auc: 0.9982 - recall: 0.6551 - precision: 0.9994 - val_loss: 0.9716 - val_accuracy: 0.8740 - val_auc: 0.9875 - val_recall: 0.5854 - val_precision: 0.9888\n",
            "Epoch 26/100\n",
            "84/84 - 16s - loss: 0.6782 - accuracy: 0.9458 - auc: 0.9983 - recall: 0.6612 - precision: 0.9994 - val_loss: 0.9712 - val_accuracy: 0.8756 - val_auc: 0.9875 - val_recall: 0.5804 - val_precision: 0.9887\n",
            "Epoch 27/100\n",
            "84/84 - 16s - loss: 0.6760 - accuracy: 0.9462 - auc: 0.9982 - recall: 0.6585 - precision: 1.0000 - val_loss: 0.9700 - val_accuracy: 0.8740 - val_auc: 0.9874 - val_recall: 0.5804 - val_precision: 0.9887\n",
            "Epoch 28/100\n",
            "84/84 - 16s - loss: 0.6772 - accuracy: 0.9455 - auc: 0.9982 - recall: 0.6604 - precision: 0.9994 - val_loss: 0.9692 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5788 - val_precision: 0.9859\n",
            "Epoch 29/100\n",
            "84/84 - 16s - loss: 0.6774 - accuracy: 0.9447 - auc: 0.9980 - recall: 0.6600 - precision: 0.9994 - val_loss: 0.9680 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5804 - val_precision: 0.9859\n",
            "Epoch 30/100\n",
            "84/84 - 16s - loss: 0.6735 - accuracy: 0.9462 - auc: 0.9983 - recall: 0.6589 - precision: 1.0000 - val_loss: 0.9673 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5837 - val_precision: 0.9860\n",
            "Epoch 31/100\n",
            "84/84 - 16s - loss: 0.6731 - accuracy: 0.9470 - auc: 0.9982 - recall: 0.6627 - precision: 0.9994 - val_loss: 0.9663 - val_accuracy: 0.8756 - val_auc: 0.9875 - val_recall: 0.5871 - val_precision: 0.9861\n",
            "Epoch 32/100\n",
            "84/84 - 16s - loss: 0.6722 - accuracy: 0.9440 - auc: 0.9981 - recall: 0.6657 - precision: 1.0000 - val_loss: 0.9649 - val_accuracy: 0.8756 - val_auc: 0.9875 - val_recall: 0.5871 - val_precision: 0.9861\n",
            "Epoch 33/100\n",
            "84/84 - 16s - loss: 0.6693 - accuracy: 0.9455 - auc: 0.9983 - recall: 0.6642 - precision: 0.9994 - val_loss: 0.9640 - val_accuracy: 0.8756 - val_auc: 0.9875 - val_recall: 0.5854 - val_precision: 0.9860\n",
            "Epoch 34/100\n",
            "84/84 - 16s - loss: 0.6674 - accuracy: 0.9447 - auc: 0.9983 - recall: 0.6664 - precision: 1.0000 - val_loss: 0.9633 - val_accuracy: 0.8756 - val_auc: 0.9875 - val_recall: 0.5887 - val_precision: 0.9861\n",
            "Epoch 35/100\n",
            "84/84 - 16s - loss: 0.6684 - accuracy: 0.9458 - auc: 0.9982 - recall: 0.6623 - precision: 1.0000 - val_loss: 0.9620 - val_accuracy: 0.8756 - val_auc: 0.9874 - val_recall: 0.5920 - val_precision: 0.9862\n",
            "Epoch 36/100\n",
            "84/84 - 16s - loss: 0.6664 - accuracy: 0.9470 - auc: 0.9983 - recall: 0.6683 - precision: 1.0000 - val_loss: 0.9607 - val_accuracy: 0.8756 - val_auc: 0.9875 - val_recall: 0.5954 - val_precision: 0.9863\n",
            "Epoch 37/100\n",
            "84/84 - 16s - loss: 0.6673 - accuracy: 0.9481 - auc: 0.9980 - recall: 0.6612 - precision: 1.0000 - val_loss: 0.9606 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.5920 - val_precision: 0.9862\n",
            "Epoch 38/100\n",
            "84/84 - 16s - loss: 0.6667 - accuracy: 0.9485 - auc: 0.9983 - recall: 0.6615 - precision: 0.9994 - val_loss: 0.9600 - val_accuracy: 0.8756 - val_auc: 0.9875 - val_recall: 0.5937 - val_precision: 0.9862\n",
            "Epoch 39/100\n",
            "84/84 - 16s - loss: 0.6661 - accuracy: 0.9462 - auc: 0.9981 - recall: 0.6608 - precision: 0.9994 - val_loss: 0.9588 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.5954 - val_precision: 0.9863\n",
            "Epoch 40/100\n",
            "84/84 - 16s - loss: 0.6633 - accuracy: 0.9470 - auc: 0.9981 - recall: 0.6657 - precision: 0.9994 - val_loss: 0.9582 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.5954 - val_precision: 0.9863\n",
            "Epoch 41/100\n",
            "84/84 - 16s - loss: 0.6611 - accuracy: 0.9473 - auc: 0.9984 - recall: 0.6612 - precision: 1.0000 - val_loss: 0.9573 - val_accuracy: 0.8773 - val_auc: 0.9874 - val_recall: 0.5970 - val_precision: 0.9836\n",
            "Epoch 42/100\n",
            "84/84 - 16s - loss: 0.6621 - accuracy: 0.9477 - auc: 0.9980 - recall: 0.6660 - precision: 1.0000 - val_loss: 0.9564 - val_accuracy: 0.8773 - val_auc: 0.9874 - val_recall: 0.5954 - val_precision: 0.9836\n",
            "Epoch 43/100\n",
            "84/84 - 16s - loss: 0.6590 - accuracy: 0.9485 - auc: 0.9983 - recall: 0.6653 - precision: 0.9994 - val_loss: 0.9557 - val_accuracy: 0.8773 - val_auc: 0.9874 - val_recall: 0.5954 - val_precision: 0.9836\n",
            "Epoch 44/100\n",
            "84/84 - 16s - loss: 0.6593 - accuracy: 0.9440 - auc: 0.9988 - recall: 0.6642 - precision: 1.0000 - val_loss: 0.9552 - val_accuracy: 0.8773 - val_auc: 0.9874 - val_recall: 0.5970 - val_precision: 0.9836\n",
            "Epoch 45/100\n",
            "84/84 - 16s - loss: 0.6583 - accuracy: 0.9470 - auc: 0.9980 - recall: 0.6657 - precision: 1.0000 - val_loss: 0.9540 - val_accuracy: 0.8773 - val_auc: 0.9874 - val_recall: 0.6003 - val_precision: 0.9837\n",
            "Epoch 46/100\n",
            "84/84 - 16s - loss: 0.6546 - accuracy: 0.9477 - auc: 0.9983 - recall: 0.6706 - precision: 1.0000 - val_loss: 0.9532 - val_accuracy: 0.8773 - val_auc: 0.9874 - val_recall: 0.5970 - val_precision: 0.9836\n",
            "Epoch 47/100\n",
            "84/84 - 16s - loss: 0.6540 - accuracy: 0.9473 - auc: 0.9984 - recall: 0.6709 - precision: 0.9994 - val_loss: 0.9517 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6020 - val_precision: 0.9837\n",
            "Epoch 48/100\n",
            "84/84 - 16s - loss: 0.6547 - accuracy: 0.9481 - auc: 0.9982 - recall: 0.6679 - precision: 0.9994 - val_loss: 0.9506 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6020 - val_precision: 0.9837\n",
            "Epoch 49/100\n",
            "84/84 - 16s - loss: 0.6528 - accuracy: 0.9489 - auc: 0.9981 - recall: 0.6672 - precision: 1.0000 - val_loss: 0.9496 - val_accuracy: 0.8773 - val_auc: 0.9874 - val_recall: 0.6020 - val_precision: 0.9837\n",
            "Epoch 50/100\n",
            "84/84 - 16s - loss: 0.6515 - accuracy: 0.9489 - auc: 0.9980 - recall: 0.6758 - precision: 1.0000 - val_loss: 0.9484 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6036 - val_precision: 0.9838\n",
            "Epoch 51/100\n",
            "84/84 - 16s - loss: 0.6512 - accuracy: 0.9462 - auc: 0.9984 - recall: 0.6724 - precision: 0.9994 - val_loss: 0.9472 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6036 - val_precision: 0.9838\n",
            "Epoch 52/100\n",
            "84/84 - 16s - loss: 0.6490 - accuracy: 0.9489 - auc: 0.9983 - recall: 0.6754 - precision: 1.0000 - val_loss: 0.9466 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6053 - val_precision: 0.9838\n",
            "Epoch 53/100\n",
            "84/84 - 16s - loss: 0.6477 - accuracy: 0.9485 - auc: 0.9984 - recall: 0.6743 - precision: 0.9994 - val_loss: 0.9455 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6070 - val_precision: 0.9839\n",
            "Epoch 54/100\n",
            "84/84 - 16s - loss: 0.6487 - accuracy: 0.9485 - auc: 0.9983 - recall: 0.6769 - precision: 1.0000 - val_loss: 0.9445 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6086 - val_precision: 0.9839\n",
            "Epoch 55/100\n",
            "84/84 - 16s - loss: 0.6471 - accuracy: 0.9477 - auc: 0.9981 - recall: 0.6702 - precision: 0.9994 - val_loss: 0.9434 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6070 - val_precision: 0.9865\n",
            "Epoch 56/100\n",
            "84/84 - 16s - loss: 0.6442 - accuracy: 0.9492 - auc: 0.9982 - recall: 0.6713 - precision: 1.0000 - val_loss: 0.9425 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6070 - val_precision: 0.9839\n",
            "Epoch 57/100\n",
            "84/84 - 16s - loss: 0.6451 - accuracy: 0.9492 - auc: 0.9981 - recall: 0.6792 - precision: 0.9989 - val_loss: 0.9415 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6086 - val_precision: 0.9839\n",
            "Epoch 58/100\n",
            "84/84 - 16s - loss: 0.6435 - accuracy: 0.9458 - auc: 0.9983 - recall: 0.6773 - precision: 1.0000 - val_loss: 0.9412 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6086 - val_precision: 0.9839\n",
            "Epoch 59/100\n",
            "84/84 - 16s - loss: 0.6418 - accuracy: 0.9485 - auc: 0.9982 - recall: 0.6800 - precision: 0.9994 - val_loss: 0.9407 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6086 - val_precision: 0.9839\n",
            "Epoch 60/100\n",
            "84/84 - 16s - loss: 0.6408 - accuracy: 0.9485 - auc: 0.9984 - recall: 0.6766 - precision: 1.0000 - val_loss: 0.9390 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6119 - val_precision: 0.9840\n",
            "Epoch 61/100\n",
            "84/84 - 16s - loss: 0.6395 - accuracy: 0.9500 - auc: 0.9982 - recall: 0.6769 - precision: 1.0000 - val_loss: 0.9384 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6103 - val_precision: 0.9840\n",
            "Epoch 62/100\n",
            "84/84 - 16s - loss: 0.6384 - accuracy: 0.9496 - auc: 0.9982 - recall: 0.6796 - precision: 0.9994 - val_loss: 0.9376 - val_accuracy: 0.8773 - val_auc: 0.9875 - val_recall: 0.6119 - val_precision: 0.9840\n",
            "Epoch 63/100\n",
            "84/84 - 16s - loss: 0.6356 - accuracy: 0.9500 - auc: 0.9983 - recall: 0.6788 - precision: 1.0000 - val_loss: 0.9364 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6119 - val_precision: 0.9840\n",
            "Epoch 64/100\n",
            "84/84 - 16s - loss: 0.6334 - accuracy: 0.9504 - auc: 0.9984 - recall: 0.6800 - precision: 0.9994 - val_loss: 0.9351 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6119 - val_precision: 0.9840\n",
            "Epoch 65/100\n",
            "84/84 - 16s - loss: 0.6357 - accuracy: 0.9504 - auc: 0.9983 - recall: 0.6830 - precision: 0.9989 - val_loss: 0.9347 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6136 - val_precision: 0.9840\n",
            "Epoch 66/100\n",
            "84/84 - 16s - loss: 0.6334 - accuracy: 0.9496 - auc: 0.9983 - recall: 0.6785 - precision: 1.0000 - val_loss: 0.9336 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6153 - val_precision: 0.9841\n",
            "Epoch 67/100\n",
            "84/84 - 16s - loss: 0.6335 - accuracy: 0.9507 - auc: 0.9983 - recall: 0.6833 - precision: 0.9994 - val_loss: 0.9324 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6153 - val_precision: 0.9841\n",
            "Epoch 68/100\n",
            "84/84 - 16s - loss: 0.6325 - accuracy: 0.9473 - auc: 0.9983 - recall: 0.6792 - precision: 1.0000 - val_loss: 0.9318 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6153 - val_precision: 0.9841\n",
            "Epoch 69/100\n",
            "84/84 - 16s - loss: 0.6319 - accuracy: 0.9511 - auc: 0.9983 - recall: 0.6803 - precision: 1.0000 - val_loss: 0.9309 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6153 - val_precision: 0.9841\n",
            "Epoch 70/100\n",
            "84/84 - 16s - loss: 0.6283 - accuracy: 0.9504 - auc: 0.9984 - recall: 0.6841 - precision: 0.9995 - val_loss: 0.9300 - val_accuracy: 0.8773 - val_auc: 0.9876 - val_recall: 0.6169 - val_precision: 0.9841\n",
            "Epoch 71/100\n",
            "84/84 - 16s - loss: 0.6287 - accuracy: 0.9504 - auc: 0.9982 - recall: 0.6815 - precision: 0.9994 - val_loss: 0.9292 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6169 - val_precision: 0.9841\n",
            "Epoch 72/100\n",
            "84/84 - 16s - loss: 0.6285 - accuracy: 0.9500 - auc: 0.9984 - recall: 0.6856 - precision: 0.9995 - val_loss: 0.9280 - val_accuracy: 0.8789 - val_auc: 0.9877 - val_recall: 0.6169 - val_precision: 0.9841\n",
            "Epoch 73/100\n",
            "84/84 - 16s - loss: 0.6262 - accuracy: 0.9511 - auc: 0.9981 - recall: 0.6848 - precision: 0.9995 - val_loss: 0.9269 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6169 - val_precision: 0.9841\n",
            "Epoch 74/100\n",
            "84/84 - 16s - loss: 0.6256 - accuracy: 0.9500 - auc: 0.9983 - recall: 0.6875 - precision: 1.0000 - val_loss: 0.9263 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6169 - val_precision: 0.9841\n",
            "Epoch 75/100\n",
            "84/84 - 16s - loss: 0.6254 - accuracy: 0.9492 - auc: 0.9984 - recall: 0.6845 - precision: 0.9995 - val_loss: 0.9255 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6186 - val_precision: 0.9842\n",
            "Epoch 76/100\n",
            "84/84 - 16s - loss: 0.6241 - accuracy: 0.9500 - auc: 0.9983 - recall: 0.6905 - precision: 0.9995 - val_loss: 0.9244 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6169 - val_precision: 0.9841\n",
            "Epoch 77/100\n",
            "84/84 - 16s - loss: 0.6235 - accuracy: 0.9519 - auc: 0.9983 - recall: 0.6912 - precision: 1.0000 - val_loss: 0.9237 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6202 - val_precision: 0.9842\n",
            "Epoch 78/100\n",
            "84/84 - 16s - loss: 0.6232 - accuracy: 0.9515 - auc: 0.9982 - recall: 0.6905 - precision: 0.9995 - val_loss: 0.9229 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 79/100\n",
            "84/84 - 16s - loss: 0.6211 - accuracy: 0.9492 - auc: 0.9983 - recall: 0.6875 - precision: 1.0000 - val_loss: 0.9222 - val_accuracy: 0.8773 - val_auc: 0.9877 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 80/100\n",
            "84/84 - 16s - loss: 0.6198 - accuracy: 0.9511 - auc: 0.9981 - recall: 0.6909 - precision: 0.9995 - val_loss: 0.9210 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6202 - val_precision: 0.9842\n",
            "Epoch 81/100\n",
            "84/84 - 16s - loss: 0.6171 - accuracy: 0.9489 - auc: 0.9982 - recall: 0.6916 - precision: 0.9995 - val_loss: 0.9198 - val_accuracy: 0.8773 - val_auc: 0.9878 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 82/100\n",
            "84/84 - 16s - loss: 0.6167 - accuracy: 0.9489 - auc: 0.9983 - recall: 0.6976 - precision: 0.9995 - val_loss: 0.9187 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6235 - val_precision: 0.9843\n",
            "Epoch 83/100\n",
            "84/84 - 16s - loss: 0.6168 - accuracy: 0.9519 - auc: 0.9983 - recall: 0.6976 - precision: 0.9995 - val_loss: 0.9181 - val_accuracy: 0.8773 - val_auc: 0.9878 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 84/100\n",
            "84/84 - 16s - loss: 0.6146 - accuracy: 0.9530 - auc: 0.9982 - recall: 0.6965 - precision: 1.0000 - val_loss: 0.9171 - val_accuracy: 0.8773 - val_auc: 0.9878 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 85/100\n",
            "84/84 - 16s - loss: 0.6144 - accuracy: 0.9500 - auc: 0.9983 - recall: 0.6965 - precision: 0.9995 - val_loss: 0.9159 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 86/100\n",
            "84/84 - 16s - loss: 0.6114 - accuracy: 0.9530 - auc: 0.9983 - recall: 0.6995 - precision: 1.0000 - val_loss: 0.9153 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 87/100\n",
            "84/84 - 16s - loss: 0.6131 - accuracy: 0.9511 - auc: 0.9984 - recall: 0.6980 - precision: 0.9995 - val_loss: 0.9148 - val_accuracy: 0.8773 - val_auc: 0.9878 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 88/100\n",
            "84/84 - 16s - loss: 0.6105 - accuracy: 0.9511 - auc: 0.9984 - recall: 0.6976 - precision: 0.9995 - val_loss: 0.9140 - val_accuracy: 0.8773 - val_auc: 0.9878 - val_recall: 0.6219 - val_precision: 0.9843\n",
            "Epoch 89/100\n",
            "84/84 - 16s - loss: 0.6088 - accuracy: 0.9534 - auc: 0.9983 - recall: 0.7010 - precision: 1.0000 - val_loss: 0.9131 - val_accuracy: 0.8773 - val_auc: 0.9878 - val_recall: 0.6252 - val_precision: 0.9843\n",
            "Epoch 90/100\n",
            "84/84 - 16s - loss: 0.6072 - accuracy: 0.9522 - auc: 0.9982 - recall: 0.7033 - precision: 1.0000 - val_loss: 0.9123 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6252 - val_precision: 0.9843\n",
            "Epoch 91/100\n",
            "84/84 - 16s - loss: 0.6084 - accuracy: 0.9507 - auc: 0.9984 - recall: 0.7003 - precision: 0.9995 - val_loss: 0.9113 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6252 - val_precision: 0.9843\n",
            "Epoch 92/100\n",
            "84/84 - 16s - loss: 0.6062 - accuracy: 0.9515 - auc: 0.9983 - recall: 0.7006 - precision: 0.9995 - val_loss: 0.9104 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6269 - val_precision: 0.9818\n",
            "Epoch 93/100\n",
            "84/84 - 16s - loss: 0.6043 - accuracy: 0.9537 - auc: 0.9986 - recall: 0.7044 - precision: 1.0000 - val_loss: 0.9097 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6285 - val_precision: 0.9819\n",
            "Epoch 94/100\n",
            "84/84 - 16s - loss: 0.6030 - accuracy: 0.9515 - auc: 0.9984 - recall: 0.7055 - precision: 1.0000 - val_loss: 0.9089 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6285 - val_precision: 0.9819\n",
            "Epoch 95/100\n",
            "84/84 - 16s - loss: 0.6026 - accuracy: 0.9522 - auc: 0.9983 - recall: 0.7003 - precision: 0.9995 - val_loss: 0.9081 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6285 - val_precision: 0.9819\n",
            "Epoch 96/100\n",
            "84/84 - 16s - loss: 0.6033 - accuracy: 0.9511 - auc: 0.9983 - recall: 0.7082 - precision: 1.0000 - val_loss: 0.9070 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6285 - val_precision: 0.9819\n",
            "Epoch 97/100\n",
            "84/84 - 16s - loss: 0.6001 - accuracy: 0.9522 - auc: 0.9984 - recall: 0.7067 - precision: 0.9995 - val_loss: 0.9060 - val_accuracy: 0.8789 - val_auc: 0.9879 - val_recall: 0.6302 - val_precision: 0.9819\n",
            "Epoch 98/100\n",
            "84/84 - 16s - loss: 0.6005 - accuracy: 0.9481 - auc: 0.9983 - recall: 0.7052 - precision: 0.9995 - val_loss: 0.9051 - val_accuracy: 0.8789 - val_auc: 0.9878 - val_recall: 0.6302 - val_precision: 0.9819\n",
            "Epoch 99/100\n",
            "84/84 - 16s - loss: 0.5978 - accuracy: 0.9534 - auc: 0.9985 - recall: 0.7055 - precision: 0.9995 - val_loss: 0.9044 - val_accuracy: 0.8789 - val_auc: 0.9879 - val_recall: 0.6335 - val_precision: 0.9820\n",
            "Epoch 100/100\n",
            "84/84 - 16s - loss: 0.5978 - accuracy: 0.9534 - auc: 0.9984 - recall: 0.7082 - precision: 1.0000 - val_loss: 0.9038 - val_accuracy: 0.8789 - val_auc: 0.9879 - val_recall: 0.6335 - val_precision: 0.9820\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "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",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "uWpYratUmo8T",
        "outputId": "97f12757-e78e-43ad-ab1c-2376c8f4b955"
      },
      "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",
        "recall=history.history['recall']\n",
        "val_recall=history.history['val_recall']\n",
        "\n",
        "precision=history.history['precision']\n",
        "val_precision=history.history['val_precision']\n",
        "\n",
        "epochs=range(len(acc))\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()\n",
        "\n",
        "plt.plot(epochs,recall,'bo',label=\"Training Recall\")\n",
        "plt.plot(epochs,val_recall,'r',label=\"Validation Recall\")\n",
        "plt.legend()\n",
        "plt.show()\n",
        "\n",
        "plt.plot(epochs,precision,'bo',label=\"Training Precision\")\n",
        "plt.plot(epochs,val_precision,'r',label=\"Validation Precision\")\n",
        "plt.legend()\n",
        "plt.show()"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "80bffwUd1P36"
      },
      "source": [
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "from sklearn.metrics import plot_confusion_matrix"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dnSdnAbc2i8A"
      },
      "source": [
        "filenames = validation_generator.filenames\n",
        "nb_samples = len(filenames)"
      ],
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "deP7NsH13khH",
        "outputId": "033565ad-58b4-41b6-c685-6b0af2151af4"
      },
      "source": [
        "predict = model.predict_generator(validation_generator,steps = nb_samples)\n",
        "y_pred = np.argmax(predict, axis=1)"
      ],
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/training.py:2001: UserWarning: `Model.predict_generator` is deprecated and will be removed in a future version. Please use `Model.predict`, which supports generators.\n",
            "  warnings.warn('`Model.predict_generator` is deprecated and '\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bP5ERVgy3xNC",
        "outputId": "b469597a-4660-43f0-b395-9cfcee133e16"
      },
      "source": [
        "print('Confusion Matrix')\n",
        "print(confusion_matrix(validation_generator.classes, y_pred))"
      ],
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Confusion Matrix\n",
            "[[10  0  0 ...  0  0  0]\n",
            " [ 0  4  0 ...  0  0  0]\n",
            " [ 0  0 10 ...  0  0  0]\n",
            " ...\n",
            " [ 0  0  0 ... 21  0  0]\n",
            " [ 0  0  0 ...  0  6  0]\n",
            " [ 0  0  0 ...  0  0  7]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gzf0xvqV4Wa-",
        "outputId": "399fad45-cd53-415c-affd-ab4ae791953b"
      },
      "source": [
        "target_names=list(training_generator.class_indices.keys())\n",
        "print(classification_report(validation_generator.classes, y_pred, target_names=target_names))"
      ],
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "     Abenaki       0.91      1.00      0.95        10\n",
            "        Alex       1.00      1.00      1.00         4\n",
            "       Aloyo       1.00      0.83      0.91        12\n",
            "       Apass       1.00      0.86      0.92         7\n",
            "  Babygloria       0.89      0.89      0.89         9\n",
            "      Barbie       0.75      1.00      0.86         3\n",
            "       Becky       1.00      0.90      0.95        10\n",
            "     Bettina       0.92      0.86      0.89        14\n",
            "       Brian       0.83      1.00      0.91         5\n",
            "      Canary       0.94      0.94      0.94        16\n",
            "       Cindy       0.94      0.94      0.94        16\n",
            "   Cleopatra       1.00      1.00      1.00        10\n",
            "      Daniel       1.00      1.00      1.00        17\n",
            "      Desire       1.00      1.00      1.00        21\n",
            "       Diana       0.45      1.00      0.62         9\n",
            "     Dorothy       0.00      0.00      0.00         3\n",
            "       Farid       0.85      1.00      0.92        17\n",
            "         GNL       1.00      1.00      1.00         7\n",
            "    Gaetanok       1.00      0.75      0.86         4\n",
            "       Gamzi       1.00      0.33      0.50         6\n",
            "     Jazmine       1.00      0.89      0.94         9\n",
            "  Judithiana       0.79      0.92      0.85        12\n",
            "      Julian       0.67      1.00      0.80        10\n",
            "   Kabareebe       0.89      0.89      0.89         9\n",
            "     Kabuura       0.83      0.83      0.83         6\n",
            "    Kansiime       0.78      1.00      0.88         7\n",
            "   Kanyomozi       0.79      0.92      0.85        12\n",
            "     Karungi       0.71      0.71      0.71         7\n",
            "     Katamba       1.00      0.90      0.95        10\n",
            "   Katatumba       1.00      1.00      1.00        19\n",
            "   KenMugabi       0.86      0.75      0.80         8\n",
            "       Lucky       0.94      0.94      0.94        16\n",
            "       Lydia       0.92      1.00      0.96        11\n",
            "       Lynda       0.88      1.00      0.93         7\n",
            "     Malaika       0.78      0.70      0.74        10\n",
            "      Marcus       1.00      1.00      1.00         8\n",
            "     Maritza       1.00      0.92      0.96        12\n",
            "      Martha       0.75      0.50      0.60         6\n",
            "     Maurice       1.00      0.83      0.91         6\n",
            "      Mbonye       0.87      1.00      0.93        13\n",
            "       Mcvex       1.00      1.00      1.00         7\n",
            "        Menk       0.73      0.80      0.76        10\n",
            "      Nabata       1.00      0.90      0.95        20\n",
            "     Nabwiso       1.00      0.53      0.69        19\n",
            "    Namubiru       0.47      1.00      0.64         9\n",
            "   Nduhukire       0.89      1.00      0.94         8\n",
            "       Ntale       0.67      0.75      0.71         8\n",
            "     Onyango       1.00      0.86      0.92         7\n",
            "        Owor       1.00      1.00      1.00         9\n",
            "        Pesh       0.90      0.82      0.86        11\n",
            "    Peterson       1.00      1.00      1.00        10\n",
            "     Raymond       1.00      0.25      0.40         4\n",
            "Remuneration       1.00      1.00      1.00        19\n",
            "       Renal       1.00      0.71      0.83         7\n",
            "        Ruth       1.00      0.17      0.29         6\n",
            "    Salvador       0.89      1.00      0.94         8\n",
            "      Samson       0.95      1.00      0.98        21\n",
            "      Sandra       1.00      0.67      0.80         9\n",
            "       Vanny       0.54      0.54      0.54        13\n",
            "\n",
            "    accuracy                           0.88       603\n",
            "   macro avg       0.88      0.85      0.84       603\n",
            "weighted avg       0.90      0.88      0.87       603\n",
            "\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1272: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ISoJ4iZXB4AZ",
        "outputId": "ed81ece0-4764-4253-f73a-2260c26d203b"
      },
      "source": [
        "!pip install scikit-plot"
      ],
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting scikit-plot\n",
            "  Downloading https://files.pythonhosted.org/packages/7c/47/32520e259340c140a4ad27c1b97050dd3254fdc517b1d59974d47037510e/scikit_plot-0.3.7-py3-none-any.whl\n",
            "Requirement already satisfied: scikit-learn>=0.18 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (0.22.2.post1)\n",
            "Requirement already satisfied: scipy>=0.9 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (1.4.1)\n",
            "Requirement already satisfied: matplotlib>=1.4.0 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (3.2.2)\n",
            "Requirement already satisfied: joblib>=0.10 in /usr/local/lib/python3.7/dist-packages (from scikit-plot) (1.0.1)\n",
            "Requirement already satisfied: numpy>=1.11.0 in /usr/local/lib/python3.7/dist-packages (from scikit-learn>=0.18->scikit-plot) (1.19.5)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (0.10.0)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (2.4.7)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (1.3.1)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib>=1.4.0->scikit-plot) (2.8.1)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from cycler>=0.10->matplotlib>=1.4.0->scikit-plot) (1.15.0)\n",
            "Installing collected packages: scikit-plot\n",
            "Successfully installed scikit-plot-0.3.7\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HlQtroeHB1KN",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "fb84eb71-400b-4228-814c-ddbbc770f917"
      },
      "source": [
        "import scikitplot as skplt\n",
        "plt.figure(figsize=(20, 20))"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "aar-7-2YCFG3",
        "outputId": "c529518d-3a4f-44f3-b33c-c217d2d130f9"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(20, 20))\n",
        "skplt.metrics.plot_confusion_matrix(validation_generator.classes, y_pred, normalize=True,ax=ax)\n",
        "plt.figure(figsize=(20, 20))\n",
        "plt.show()"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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\n",
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2k8RzXSFvYjT",
        "outputId": "a21565a8-4579-4bdb-a2b2-da8341c5275c"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model_9\"\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",
            "__________________________________________________________________________________________________\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",
            "arc_face_7 (ArcFace)            (None, 128)          16384       Bottleneck[0][0]                 \n",
            "__________________________________________________________________________________________________\n",
            "dense_27 (Dense)                (None, 15)           1935        arc_face_7[0][0]                 \n",
            "==================================================================================================\n",
            "Total params: 22,826,079\n",
            "Trainable params: 18,319\n",
            "Non-trainable params: 22,807,760\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vpB6CtjbveC7",
        "outputId": "3a50fbdd-cf2c-4238-e368-3f1d1b344076"
      },
      "source": [
        "model2=Model(model.input,model.layers[-3].output)\n",
        "model2.summary()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"model_12\"\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",
            "__________________________________________________________________________________________________\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",
            "Total params: 22,807,760\n",
            "Trainable params: 0\n",
            "Non-trainable params: 22,807,760\n",
            "__________________________________________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ILR3Wqmb7bwV"
      },
      "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)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 89
        },
        "id": "Wci41p_z2LSO",
        "outputId": "1dcb8f36-ea34-4e23-bce6-af6f8c04c912"
      },
      "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) "
      ],
      "execution_count": null,
      "outputs": [
        {
          "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"
          ],
          "name": "stderr"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'kerasFacenet.pb'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "kue-AGmHwiod",
        "outputId": "5beaef0a-adcf-4f50-9456-352c2bc2ed0e"
      },
      "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"
      ],
      "execution_count": null,
      "outputs": [
        {
          "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",
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            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1/Conv2D\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/scale\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1/resource\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3/ReadVariableOp_1\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_BatchNorm/FusedBatchNormV3\n",
            "model_12/Block8_6_Branch_1_Conv2d_0c_3x1_Activation/Relu\n",
            "model_12/Block8_6_Concatenate/concat/axis\n",
            "model_12/Block8_6_Concatenate/concat\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D/ReadVariableOp/resource\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D/ReadVariableOp\n",
            "model_12/Block8_6_Conv2d_1x1/Conv2D\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd/ReadVariableOp/resource\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd/ReadVariableOp\n",
            "model_12/Block8_6_Conv2d_1x1/BiasAdd\n",
            "model_12/Block8_6_ScaleSum/mul/y\n",
            "model_12/Block8_6_ScaleSum/mul\n",
            "model_12/Block8_6_ScaleSum/add\n",
            "model_12/AvgPool/Mean/reduction_indices\n",
            "model_12/AvgPool/Mean\n",
            "model_12/Dropout/Identity\n",
            "model_12/Bottleneck/MatMul/ReadVariableOp/resource\n",
            "model_12/Bottleneck/MatMul/ReadVariableOp\n",
            "model_12/Bottleneck/MatMul\n",
            "Identity\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            },
            "text/plain": [
              "'/tmp/saved-model/facenet-Original-LastLayer.pb'"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0NvKeRsc8Xgd"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}