EfficientNet_B0.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "EfficientNet_B0.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOFaL77MwtBrFPq5qN6FpHw",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/PrasanthV454/For_Silver/blob/master/EfficientNet_B0.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "by7-3eNtyqhz",
        "colab_type": "code",
        "outputId": "a93cb342-84ce-4e28-925e-7c72616b804e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 70
        }
      },
      "source": [
        "%tensorflow_version 1.x\n",
        "from tensorflow.keras import models\n",
        "from tensorflow.keras import layers\n",
        "from tensorflow.keras import optimizers\n",
        "import os\n",
        "import glob\n",
        "import shutil\n",
        "import sys\n",
        "import numpy as np\n",
        "from skimage.io import imread\n",
        "import matplotlib.pyplot as plt\n",
        "from IPython.display import Image\n",
        "\n",
        "batch_size = 48\n",
        "width=150\n",
        "height=150\n",
        "epochs=20\n",
        "NUM_TRAIN=2000\n",
        "NUM_TEST=1000\n",
        "dropout_rate=0.2\n",
        "input_shape=(height,width,3)\n",
        "\n",
        "!git clone https://github.com/Tony607/efficientnet_keras_transfer_learning\n"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "TensorFlow 1.x selected.\n",
            "fatal: destination path 'efficientnet_keras_transfer_learning' already exists and is not an empty directory.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8nn-94Mf9coF",
        "colab_type": "code",
        "outputId": "186d008b-4be2-4b58-8bd5-8f591828847e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "%cd efficientnet_keras_transfer_learning/"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/content/efficientnet_keras_transfer_learning\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "fJdIoGfg9leY",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "55575f84-fb2a-4501-881a-4daeabd76da7"
      },
      "source": [
        "from efficientnet import EfficientNetB0 as Net\n",
        "from efficientnet import center_crop_and_resize, preprocess_input\n",
        "conv_base=Net(weights='imagenet',include_top=False,input_shape=input_shape)"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Using TensorFlow backend.\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:From /content/efficientnet_keras_transfer_learning/efficientnet/model.py:67: The name tf.random_normal is deprecated. Please use tf.random.normal instead.\n",
            "\n",
            "WARNING:tensorflow:From /tensorflow-1.15.2/python3.6/tensorflow_core/python/ops/resource_variable_ops.py:1630: calling BaseResourceVariable.__init__ (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "If using Keras pass *_constraint arguments to layers.\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc999d96a58>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc999d96a58>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9925f4940>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9925f4940>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99ac924e0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99ac924e0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992708780>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992708780>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9926c4e80>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9926c4e80>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9926f2668>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9926f2668>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992659c50>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992659c50>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99259c1d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99259c1d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9925596d8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9925596d8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc99257f438>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc99257f438>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:From /content/efficientnet_keras_transfer_learning/efficientnet/layers.py:28: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.\n",
            "\n",
            "WARNING:tensorflow:From /content/efficientnet_keras_transfer_learning/efficientnet/layers.py:30: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.\n",
            "Instructions for updating:\n",
            "Deprecated in favor of operator or tf.math.divide.\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9924d0588>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9924d0588>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992500ef0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992500ef0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9924b8c88>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9924b8c88>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992422d30>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992422d30>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9923e7240>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9923e7240>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99239ff28>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99239ff28>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc9923453c8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc9923453c8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992317518>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992317518>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9922d1eb8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9922d1eb8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99228a2b0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99228a2b0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992264ba8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992264ba8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992218908>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992218908>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9921e6be0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9921e6be0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc992189240>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc992189240>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992156390>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992156390>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9921049b0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9921049b0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9920ce898>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9920ce898>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc9920efcf8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc9920efcf8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9920ab198>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9920ab198>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992007128>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc992007128>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99203ab00>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99203ab00>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991f974e0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991f974e0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991f56b38>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991f56b38>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991f04ac8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991f04ac8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991f35b70>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991f35b70>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991e88f28>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991e88f28>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991e4a080>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991e4a080>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991e81630>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991e81630>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991e24668>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991e24668>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991dee780>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991dee780>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991d8f748>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991d8f748>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991d6b6d8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991d6b6d8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991d3fe48>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991d3fe48>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991cfb5c0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991cfb5c0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991c4c8d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991c4c8d0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991c5df28>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991c5df28>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991c3af98>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991c3af98>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991b91860>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991b91860>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991b48be0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991b48be0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991b687b8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991b687b8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991b1cc50>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991b1cc50>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991ae9f60>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991ae9f60>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991aa9160>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991aa9160>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991a4b128>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING: Entity <bound method DropConnect.call of <efficientnet.layers.DropConnect object at 0x7fc991a4b128>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: module 'gast' has no attribute 'Num'\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991a2c4a8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc991a2c4a8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9919fe5f8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9919fe5f8>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9919b3128>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc9919b3128>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING:tensorflow:Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99190b5c0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "WARNING: Entity <bound method Swish.call of <efficientnet.layers.Swish object at 0x7fc99190b5c0>> could not be transformed and will be executed as-is. Please report this to the AutoGraph team. When filing the bug, set the verbosity to 10 (on Linux, `export AUTOGRAPH_VERBOSITY=10`) and attach the full output. Cause: Bad argument number for Name: 3, expecting 4\n",
            "Downloading data from https://github.com/qubvel/efficientnet/releases/download/v0.0.1/efficientnet-b0_imagenet_1000_notop.h5\n",
            "16719872/16717576 [==============================] - 2s 0us/step\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XFbKADhCl9v6",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "outputId": "31baddbe-5ec6-40fc-b9eb-c14f5b6516d6"
      },
      "source": [
        "!wget https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "ERROR! Session/line number was not unique in database. History logging moved to new session 60\n",
            "--2020-03-31 17:17:00--  https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip\n",
            "Resolving download.microsoft.com (download.microsoft.com)... 23.193.24.126, 2600:1417:76:586::e59, 2600:1417:76:58e::e59\n",
            "Connecting to download.microsoft.com (download.microsoft.com)|23.193.24.126|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 824894548 (787M) [application/octet-stream]\n",
            "Saving to: ‘kagglecatsanddogs_3367a.zip’\n",
            "\n",
            "kagglecatsanddogs_3 100%[===================>] 786.68M   203MB/s    in 4.0s    \n",
            "\n",
            "2020-03-31 17:17:05 (196 MB/s) - ‘kagglecatsanddogs_3367a.zip’ saved [824894548/824894548]\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BWUREICVmRbX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        },
        "outputId": "5a8ea2ec-452b-47ab-e968-5d0ed63eef0a"
      },
      "source": [
        "!unzip -qq kagglecatsanddogs_3367a.zip -d dog_vs_cat"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "replace dog_vs_cat/PetImages/Cat/0.jpg? [y]es, [n]o, [A]ll, [N]one, [r]ename: y\n",
            "replace dog_vs_cat/PetImages/Cat/1.jpg? [y]es, [n]o, [A]ll, [N]one, [r]ename: y\n",
            "replace dog_vs_cat/PetImages/Cat/10.jpg? [y]es, [n]o, [A]ll, [N]one, [r]ename: "
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5cnVHf5qmyIf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "2a55c639-3eb7-497e-f6ae-c8e2883fd020"
      },
      "source": [
        "!ls dog_vs_cat/PetImages/"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cat  Dog\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tOnD4RJFm_L4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "2c062220-62eb-43ed-8888-e7b4e22a5740"
      },
      "source": [
        "original_dataset_dir='./dog_vs_cat/PetImages'\n",
        "cat_images = glob.glob(os.path.join(original_dataset_dir, \"Cat\", '*.jpg'))\n",
        "dog_images = glob.glob(os.path.join(original_dataset_dir, \"Dog\", '*.jpg'))\n",
        "print(len(cat_images))\n",
        "print(len(dog_images))"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "12500\n",
            "12500\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LmI8KZzGm_Pj",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "base_dir = './data/dog_vs_cat_small'\n",
        "os.makedirs(base_dir, exist_ok=True)\n",
        "train_dir = os.path.join(base_dir, 'train')\n",
        "os.makedirs(train_dir, exist_ok=True)\n",
        "validation_dir = os.path.join(base_dir, 'validation')\n",
        "os.makedirs(validation_dir, exist_ok=True)\n",
        "test_dir = os.path.join(base_dir, 'test')\n",
        "os.makedirs(test_dir, exist_ok=True)\n",
        "train_cats_dir = os.path.join(train_dir, 'cats')\n",
        "os.makedirs(train_cats_dir, exist_ok=True)\n",
        "train_dogs_dir = os.path.join(train_dir, 'dogs')\n",
        "os.makedirs(train_dogs_dir, exist_ok=True)\n",
        "validation_cats_dir = os.path.join(validation_dir, 'cats')\n",
        "os.makedirs(validation_cats_dir, exist_ok=True)\n",
        "validation_dogs_dir = os.path.join(validation_dir, 'dogs')\n",
        "os.makedirs(validation_dogs_dir, exist_ok=True)\n",
        "test_cats_dir = os.path.join(test_dir, 'cats')\n",
        "os.makedirs(test_cats_dir, exist_ok=True)\n",
        "test_dogs_dir = os.path.join(test_dir, 'dogs')\n",
        "os.makedirs(test_dogs_dir, exist_ok=True)\n",
        "\n",
        "fnames = cat_images[:NUM_TRAIN//2]\n",
        "for fname in fnames:\n",
        "    dst = os.path.join(train_cats_dir, os.path.basename(fname))\n",
        "    shutil.copyfile(fname, dst)\n",
        "\n",
        "offset = NUM_TRAIN//2\n",
        "\n",
        "fnames = cat_images[offset:offset + NUM_TEST // 2]\n",
        "for fname in fnames:\n",
        "    dst = os.path.join(validation_cats_dir, os.path.basename(fname))\n",
        "    shutil.copyfile(fname, dst)\n",
        "\n",
        "offset = offset + NUM_TEST // 2\n",
        "\n",
        "fnames = cat_images[offset:offset + NUM_TEST // 2]\n",
        "for fname in fnames:\n",
        "    dst = os.path.join(test_cats_dir, os.path.basename(fname))\n",
        "    shutil.copyfile(fname, dst)\n",
        "\n",
        "fnames = dog_images[:NUM_TRAIN//2]\n",
        "for fname in fnames:\n",
        "    dst = os.path.join(train_dogs_dir, os.path.basename(fname))\n",
        "    shutil.copyfile(fname, dst)\n",
        "\n",
        "\n",
        "offset = NUM_TRAIN//2\n",
        "\n",
        "fnames = dog_images[offset:offset + NUM_TEST // 2]\n",
        "for fname in fnames:\n",
        "    dst = os.path.join(validation_dogs_dir, os.path.basename(fname))\n",
        "    shutil.copyfile(fname, dst)\n",
        "\n",
        "offset = offset + NUM_TEST // 2\n",
        "\n",
        "fnames = dog_images[offset:offset + NUM_TEST // 2]\n",
        "for fname in fnames:\n",
        "    dst = os.path.join(test_dogs_dir, os.path.basename(fname))\n",
        "    shutil.copyfile(fname, dst)"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vXk_LgQErQUb",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 118
        },
        "outputId": "ab58f8fd-0137-44f5-8a17-4680c3a41215"
      },
      "source": [
        "print('total training cat images:', len(os.listdir(train_cats_dir)))\n",
        "print('total training dog images:', len(os.listdir(train_dogs_dir)))\n",
        "print('total validation cat images:', len(os.listdir(validation_cats_dir)))\n",
        "print('total validation dog images:', len(os.listdir(validation_dogs_dir)))\n",
        "print('total test cat images:', len(os.listdir(test_cats_dir)))\n",
        "print('total test dog images:', len(os.listdir(test_dogs_dir)))"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "total training cat images: 1000\n",
            "total training dog images: 1000\n",
            "total validation cat images: 500\n",
            "total validation dog images: 500\n",
            "total test cat images: 500\n",
            "total test dog images: 500\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tJNv14lmrXNX",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 50
        },
        "outputId": "143998d9-8c68-4516-f310-40fd261ab4d0"
      },
      "source": [
        "from tensorflow.keras.preprocessing.image import ImageDataGenerator\n",
        "\n",
        "train_datagen = ImageDataGenerator(\n",
        "      rescale=1./255,\n",
        "      rotation_range=40,\n",
        "      width_shift_range=0.2,\n",
        "      height_shift_range=0.2,\n",
        "      shear_range=0.2,\n",
        "      zoom_range=0.2,\n",
        "      horizontal_flip=True,\n",
        "      fill_mode='nearest')\n",
        "\n",
        "test_datagen = ImageDataGenerator(rescale=1./255)\n",
        "\n",
        "train_generator = train_datagen.flow_from_directory(\n",
        "        train_dir,\n",
        "        target_size=(height, width),\n",
        "        batch_size=batch_size,\n",
        "        class_mode='categorical')\n",
        "\n",
        "validation_generator = test_datagen.flow_from_directory(\n",
        "        validation_dir,\n",
        "        target_size=(height, width),\n",
        "        batch_size=batch_size,\n",
        "        class_mode='categorical')"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 2000 images belonging to 2 classes.\n",
            "Found 1000 images belonging to 2 classes.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mPLb4exjtH6d",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "model =  models.Sequential()\n",
        "model.add(conv_base)\n",
        "model.add(layers.GlobalMaxPooling2D(name=\"gap\"))\n",
        "model.add(layers.Dense(2, activation='softmax', name=\"fc_out\"))"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "C-61DVSmuIZC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "outputId": "41dca159-d6db-4f19-846d-4575db657d97"
      },
      "source": [
        "model.summary()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_1\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "efficientnet-b0 (Model)      (None, 5, 5, 1280)        4049564   \n",
            "_________________________________________________________________\n",
            "gap (GlobalMaxPooling2D)     (None, 1280)              0         \n",
            "_________________________________________________________________\n",
            "fc_out (Dense)               (None, 2)                 2562      \n",
            "=================================================================\n",
            "Total params: 4,052,126\n",
            "Trainable params: 4,010,110\n",
            "Non-trainable params: 42,016\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6hFtNcOvwLkz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 252
        },
        "outputId": "5e7b1632-2fed-4093-ccb5-cd43a0848344"
      },
      "source": [
        "conv_base.trainable = False\n",
        "model.summary()"
      ],
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential_1\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "efficientnet-b0 (Model)      (None, 5, 5, 1280)        4049564   \n",
            "_________________________________________________________________\n",
            "gap (GlobalMaxPooling2D)     (None, 1280)              0         \n",
            "_________________________________________________________________\n",
            "fc_out (Dense)               (None, 2)                 2562      \n",
            "=================================================================\n",
            "Total params: 4,052,126\n",
            "Trainable params: 2,562\n",
            "Non-trainable params: 4,049,564\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0uwOI7KdwhYD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "529d18d0-51bd-4262-d41b-0480e427242a"
      },
      "source": [
        "model.compile(loss='categorical_crossentropy',\n",
        "              optimizer=optimizers.RMSprop(lr=2e-5),\n",
        "              metrics=['acc'])\n",
        "\n",
        "history= model.fit_generator(\n",
        "    train_generator,\n",
        "    steps_per_epoch=NUM_TRAIN//batch_size,\n",
        "    epochs=epochs,\n",
        "    validation_data=validation_generator,\n",
        "    verbose=1,\n",
        "    use_multiprocessing=True,\n",
        "    workers=4)\n"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.5850 - acc: 0.5320Epoch 1/20\n",
            "41/41 [==============================] - 152s 4s/step - loss: 1.5810 - acc: 0.5323 - val_loss: 1.2855 - val_acc: 0.5790\n",
            "Epoch 2/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.3682 - acc: 0.5662Epoch 1/20\n",
            "20/41 [=============>................] - ETA: 40s - loss: 1.1873 - acc: 0.6010Epoch 1/20\n",
            "41/41 [==============================] - 151s 4s/step - loss: 1.3692 - acc: 0.5645 - val_loss: 1.1773 - val_acc: 0.6030\n",
            "Epoch 3/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.3562 - acc: 0.5720Epoch 1/20\n",
            "41/41 [==============================] - 151s 4s/step - loss: 1.3524 - acc: 0.5712 - val_loss: 1.0903 - val_acc: 0.6120\n",
            "Epoch 4/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.3582 - acc: 0.5678Epoch 1/20\n",
            "41/41 [==============================] - 151s 4s/step - loss: 1.3538 - acc: 0.5686 - val_loss: 1.0200 - val_acc: 0.6320\n",
            "Epoch 5/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.2719 - acc: 0.5714Epoch 1/20\n",
            "41/41 [==============================] - 154s 4s/step - loss: 1.2659 - acc: 0.5738 - val_loss: 0.9605 - val_acc: 0.6450\n",
            "Epoch 6/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.2519 - acc: 0.5856Epoch 1/20\n",
            "41/41 [==============================] - 152s 4s/step - loss: 1.2423 - acc: 0.5876 - val_loss: 0.9043 - val_acc: 0.6480\n",
            "Epoch 7/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.1156 - acc: 0.6166Epoch 1/20\n",
            "41/41 [==============================] - 152s 4s/step - loss: 1.1208 - acc: 0.6148 - val_loss: 0.8576 - val_acc: 0.6620\n",
            "Epoch 8/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.1730 - acc: 0.6129Epoch 1/20\n",
            "41/41 [==============================] - 153s 4s/step - loss: 1.1726 - acc: 0.6127 - val_loss: 0.8124 - val_acc: 0.6760\n",
            "Epoch 9/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.1392 - acc: 0.6176Epoch 1/20\n",
            "41/41 [==============================] - 152s 4s/step - loss: 1.1358 - acc: 0.6178 - val_loss: 0.7683 - val_acc: 0.6840\n",
            "Epoch 10/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.0933 - acc: 0.6261Epoch 1/20\n",
            "41/41 [==============================] - 151s 4s/step - loss: 1.0983 - acc: 0.6250 - val_loss: 0.7318 - val_acc: 0.6940\n",
            "Epoch 11/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.0429 - acc: 0.6355Epoch 1/20\n",
            "41/41 [==============================] - 153s 4s/step - loss: 1.0448 - acc: 0.6342 - val_loss: 0.7002 - val_acc: 0.7080\n",
            "Epoch 12/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.0184 - acc: 0.6455Epoch 1/20\n",
            "41/41 [==============================] - 154s 4s/step - loss: 1.0244 - acc: 0.6419 - val_loss: 0.6718 - val_acc: 0.7210\n",
            "Epoch 13/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 0.9704 - acc: 0.6578Epoch 1/20\n",
            "41/41 [==============================] - 152s 4s/step - loss: 0.9719 - acc: 0.6580 - val_loss: 0.6407 - val_acc: 0.7320\n",
            "Epoch 14/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 0.9861 - acc: 0.6674Epoch 1/20\n",
            "20/41 [=============>................] - ETA: 40s - loss: 0.6161 - acc: 0.7500\n",
            "41/41 [==============================] - 152s 4s/step - loss: 1.0021 - acc: 0.6668 - val_loss: 0.6189 - val_acc: 0.7470\n",
            "Epoch 15/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 0.9808 - acc: 0.6628Epoch 1/20\n",
            "41/41 [==============================] - 151s 4s/step - loss: 0.9768 - acc: 0.6629 - val_loss: 0.5978 - val_acc: 0.7530\n",
            "Epoch 16/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 1.0272 - acc: 0.6502Epoch 1/20\n",
            "41/41 [==============================] - 152s 4s/step - loss: 1.0287 - acc: 0.6496 - val_loss: 0.5848 - val_acc: 0.7630\n",
            "Epoch 17/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 0.9058 - acc: 0.6817Epoch 1/20\n",
            "41/41 [==============================] - 154s 4s/step - loss: 0.9031 - acc: 0.6834 - val_loss: 0.5563 - val_acc: 0.7670\n",
            "Epoch 18/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 0.8849 - acc: 0.6738Epoch 1/20\n",
            "41/41 [==============================] - 152s 4s/step - loss: 0.8920 - acc: 0.6711 - val_loss: 0.5556 - val_acc: 0.7820\n",
            "Epoch 19/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 0.9069 - acc: 0.6812Epoch 1/20\n",
            "41/41 [==============================] - 151s 4s/step - loss: 0.9044 - acc: 0.6829 - val_loss: 0.5271 - val_acc: 0.7850\n",
            "Epoch 20/20\n",
            "40/41 [============================>.] - ETA: 2s - loss: 0.8626 - acc: 0.6922Epoch 1/20\n",
            "41/41 [==============================] - 153s 4s/step - loss: 0.8655 - acc: 0.6905 - val_loss: 0.5097 - val_acc: 0.7910\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hSKPEBzB_Nn8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 67
        },
        "outputId": "6dea157e-5e5e-454a-9c17-198db5b3eaf2"
      },
      "source": [
        "test_generator = test_datagen.flow_from_directory(\n",
        "        test_dir,\n",
        "        target_size=(height, width),\n",
        "        batch_size=batch_size,\n",
        "        class_mode='categorical')\n",
        "\n",
        "result_loss,result_acc=model.evaluate(test_generator)\n",
        "print(result_acc)"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 1000 images belonging to 2 classes.\n",
            "21/21 [==============================] - 40s 2s/step - loss: 0.6713 - acc: 0.7650\n",
            "0.765\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}