fastai_sizing_tta.ipynb

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  "metadata": {
    "colab": {
      "name": "fastai_sizing-tta.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyNY3cQLiyUhDTP+Lhw69tbg",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/arunprasath2007/FrameworkILoveAndToExperiment/blob/master/fastai_sizing_tta.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hu3OoxnaOVvk",
        "outputId": "1519c23f-aa1a-4a55-d199-b9eb4ebf4ee2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!pip install fastbook\n",
        "import fastbook\n",
        "fastbook.setup_book()"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
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            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->fastai<2.1,>=2.0->fastbook) (0.17.0)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->fastai<2.1,>=2.0->fastbook) (1.24.3)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->fastai<2.1,>=2.0->fastbook) (3.0.4)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->fastai<2.1,>=2.0->fastbook) (2.10)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai<2.1,>=2.0->fastbook) (1.2.0)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.6/dist-packages (from matplotlib->fastai<2.1,>=2.0->fastbook) (0.10.0)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch<1.7,>=1.6->fastai<2.1,>=2.0->fastbook) (0.16.0)\n",
            "Requirement already satisfied: MarkupSafe>=0.23 in /usr/local/lib/python3.6/dist-packages (from jinja2>=2.4->nbconvert<6->nbdev>=0.2.38->fastbook) (1.1.1)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.6/dist-packages (from bleach->nbconvert<6->nbdev>=0.2.38->fastbook) (0.5.1)\n",
            "Collecting cryptography>=1.1.0\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/4c/a2/6565c5271a79e3c96d7a079053b4d8408a740d4bf365f0f5f244a807bd09/cryptography-3.2.1-cp35-abi3-manylinux2010_x86_64.whl (2.6MB)\n",
            "\u001b[K     |████████████████████████████████| 2.6MB 41.2MB/s \n",
            "\u001b[?25hCollecting PyJWT>=1.0.0\n",
            "  Downloading https://files.pythonhosted.org/packages/87/8b/6a9f14b5f781697e51259d81657e6048fd31a113229cf346880bb7545565/PyJWT-1.7.1-py2.py3-none-any.whl\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests-oauthlib>=0.5.0->msrest>=0.5.0->azure-cognitiveservices-search-imagesearch->fastbook) (3.1.0)\n",
            "Requirement already satisfied: Send2Trash in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets->fastbook) (1.5.0)\n",
            "Requirement already satisfied: terminado>=0.8.1 in /usr/local/lib/python3.6/dist-packages (from notebook>=4.4.1->widgetsnbextension~=3.5.0->ipywidgets->fastbook) (0.9.1)\n",
            "Requirement already satisfied: ptyprocess>=0.5 in /usr/local/lib/python3.6/dist-packages (from pexpect; sys_platform != \"win32\"->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets->fastbook) (0.6.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.6/dist-packages (from prompt-toolkit<2.0.0,>=1.0.4->ipython>=4.0.0; python_version >= \"3.3\"->ipywidgets->fastbook) (0.2.5)\n",
            "Requirement already satisfied: importlib-metadata>=0.20; python_version < \"3.8\" in /usr/local/lib/python3.6/dist-packages (from catalogue<1.1.0,>=0.0.7->spacy->fastai<2.1,>=2.0->fastbook) (2.0.0)\n",
            "Requirement already satisfied: cffi!=1.11.3,>=1.8 in /usr/local/lib/python3.6/dist-packages (from cryptography>=1.1.0->adal<2.0.0,>=0.6.0->msrestazure<2.0.0,>=0.4.32->azure-cognitiveservices-search-imagesearch->fastbook) (1.14.3)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.6/dist-packages (from importlib-metadata>=0.20; python_version < \"3.8\"->catalogue<1.1.0,>=0.0.7->spacy->fastai<2.1,>=2.0->fastbook) (3.3.1)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.6/dist-packages (from cffi!=1.11.3,>=1.8->cryptography>=1.1.0->adal<2.0.0,>=0.6.0->msrestazure<2.0.0,>=0.4.32->azure-cognitiveservices-search-imagesearch->fastbook) (2.20)\n",
            "Installing collected packages: fastcore, nbdev, cryptography, PyJWT, adal, isodate, msrest, msrestazure, azure-common, azure-cognitiveservices-search-imagesearch, fastai, sentencepiece, fastbook\n",
            "  Found existing installation: fastai 1.0.61\n",
            "    Uninstalling fastai-1.0.61:\n",
            "      Successfully uninstalled fastai-1.0.61\n",
            "Successfully installed PyJWT-1.7.1 adal-1.2.5 azure-cognitiveservices-search-imagesearch-2.0.0 azure-common-1.1.25 cryptography-3.2.1 fastai-2.0.19 fastbook-0.0.12 fastcore-1.3.1 isodate-0.6.0 msrest-0.6.19 msrestazure-0.6.4 nbdev-1.1.5 sentencepiece-0.1.94\n",
            "Mounted at /content/gdrive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jaGF5gapOzS5"
      },
      "source": [
        "from fastbook import *"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "TZ3u3KKqO5C5"
      },
      "source": [
        "from fastai.vision.all import *"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "J9Xfj9VAPWb3",
        "outputId": "12130d0c-0c6c-40b8-82f2-f5fff8501877",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        }
      },
      "source": [
        "path = untar_data(URLs.IMAGENETTE)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              ""
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PK-InGcmPogH",
        "outputId": "e0c0afb2-8872-45a3-8339-337907c5e655",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "path.ls()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(#2) [Path('val'),Path('train')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3YzsJJIGPt4X",
        "outputId": "c45fff1e-9e96-4af3-aee2-c072213d1a14",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "(path/'train').ls()"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(#10) [Path('train/n03425413'),Path('train/n03000684'),Path('train/n01440764'),Path('train/n03888257'),Path('train/n03417042'),Path('train/n03394916'),Path('train/n02979186'),Path('train/n02102040'),Path('train/n03028079'),Path('train/n03445777')]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7u-8eGAWP1Cy"
      },
      "source": [
        "images = (path/'train/n03425413').ls()"
      ],
      "execution_count": 20,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zv7f9tK_P-_H",
        "outputId": "ab4d1906-795c-464a-d01d-fd4994d92414",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        }
      },
      "source": [
        "im = PILImage.create(images[0])\n",
        "show_image(im)"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f1c61448b70>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GNIeANTKPGQl"
      },
      "source": [
        "dblock = DataBlock(blocks=(ImageBlock(), CategoryBlock()),\n",
        "                   get_items=get_image_files,\n",
        "                   get_y=parent_label,\n",
        "                   item_tfms=Resize(460),\n",
        "                   batch_tfms=aug_transforms(size=224, min_scale=0.75))\n",
        "\n",
        "dls = dblock.dataloaders(path, bs=64)"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "GSQGnt1oSBeX",
        "outputId": "8d1d4606-1574-4212-8ddf-8e83d2eec881",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "model = xresnet50()\n",
        "learn = Learner(dls, model, loss_func=CrossEntropyLossFlat(), metrics=accuracy)\n",
        "learn.fit_one_cycle(5, 3e-3)"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>1.673263</td>\n",
              "      <td>2.411944</td>\n",
              "      <td>0.358103</td>\n",
              "      <td>02:49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>1.231200</td>\n",
              "      <td>2.222311</td>\n",
              "      <td>0.366692</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>0.990831</td>\n",
              "      <td>1.138017</td>\n",
              "      <td>0.662061</td>\n",
              "      <td>02:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>0.765627</td>\n",
              "      <td>0.749612</td>\n",
              "      <td>0.769604</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>0.606968</td>\n",
              "      <td>0.588158</td>\n",
              "      <td>0.819642</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r4SPz6pUXp_4",
        "outputId": "a65ee295-36a4-4c63-94a0-f19884a5362d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "x, y = dls.one_batch()\n",
        "x.mean(dim=[0, 2, 3]), x.std(dim=[0,2,3])"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(TensorImage([-0.1081, -0.0390,  0.0552], device='cuda:0'),\n",
              " TensorImage([1.2257, 1.2512, 1.2824], device='cuda:0'))"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UAnexuF3W7n3"
      },
      "source": [
        "def get_dls(size, bs):\n",
        "  dblock = DataBlock(blocks=(ImageBlock(), CategoryBlock),\n",
        "                   get_items=get_image_files,\n",
        "                   get_y=parent_label,\n",
        "                   item_tfms=Resize(460),\n",
        "                   batch_tfms=(*aug_transforms(size=size, min_scale=0.75),\n",
        "                               Normalize.from_stats(*imagenet_stats)))\n",
        "\n",
        "  return dblock.dataloaders(path, bs=bs)"
      ],
      "execution_count": 27,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2fYj_CDuXZ-j",
        "outputId": "d769d84a-8620-478e-b150-7515cbb60638",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        }
      },
      "source": [
        "model = xresnet50()\n",
        "\n",
        "dls = get_dls(224, 64)\n",
        "\n",
        "learn = Learner(dls, model, loss_func=CrossEntropyLossFlat(), metrics=accuracy)\n",
        "learn.fine_tune(5, 3e-3)"
      ],
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>1.614340</td>\n",
              "      <td>2.848203</td>\n",
              "      <td>0.392830</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>1.142664</td>\n",
              "      <td>4.413196</td>\n",
              "      <td>0.292009</td>\n",
              "      <td>02:51</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>1.098532</td>\n",
              "      <td>00:57</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "error",
          "ename": "KeyboardInterrupt",
          "evalue": "ignored",
          "traceback": [
            "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
            "\u001b[0;32m<ipython-input-28-1208a2902f7d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mlearn\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mLearner\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdls\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmodel\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloss_func\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mCrossEntropyLossFlat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetrics\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0maccuracy\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 6\u001b[0;31m \u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfine_tune\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m3e-3\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastcore/logargs.py\u001b[0m in \u001b[0;36m_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     54\u001b[0m         \u001b[0minit_args\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m         \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'init_args'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0minst\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mto_return\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     57\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/callback/schedule.py\u001b[0m in \u001b[0;36mfine_tune\u001b[0;34m(self, epochs, base_lr, freeze_epochs, lr_mult, pct_start, div, **kwargs)\u001b[0m\n\u001b[1;32m    162\u001b[0m     \u001b[0mbase_lr\u001b[0m \u001b[0;34m/=\u001b[0m \u001b[0;36m2\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munfreeze\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 164\u001b[0;31m     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit_one_cycle\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mepochs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mslice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbase_lr\u001b[0m\u001b[0;34m/\u001b[0m\u001b[0mlr_mult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbase_lr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mpct_start\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpct_start\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdiv\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdiv\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    165\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    166\u001b[0m \u001b[0;31m# Cell\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastcore/logargs.py\u001b[0m in \u001b[0;36m_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     54\u001b[0m         \u001b[0minit_args\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m         \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'init_args'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0minst\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mto_return\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     57\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/callback/schedule.py\u001b[0m in \u001b[0;36mfit_one_cycle\u001b[0;34m(self, n_epoch, lr_max, div, div_final, pct_start, wd, moms, cbs, reset_opt)\u001b[0m\n\u001b[1;32m    111\u001b[0m     scheds = {'lr': combined_cos(pct_start, lr_max/div, lr_max, lr_max/div_final),\n\u001b[1;32m    112\u001b[0m               'mom': combined_cos(pct_start, *(self.moms if moms is None else moms))}\n\u001b[0;32m--> 113\u001b[0;31m     \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mn_epoch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcbs\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mParamScheduler\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mscheds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m+\u001b[0m\u001b[0mL\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcbs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mreset_opt\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mreset_opt\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwd\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mwd\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    114\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    115\u001b[0m \u001b[0;31m# Cell\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastcore/logargs.py\u001b[0m in \u001b[0;36m_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     54\u001b[0m         \u001b[0minit_args\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlog\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m         \u001b[0msetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minst\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'init_args'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minit_args\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 56\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0minst\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mto_return\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     57\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0m_f\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, n_epoch, lr, wd, cbs, reset_opt)\u001b[0m\n\u001b[1;32m    205\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_hypers\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlr\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mlr\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0mlr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    206\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mn_epoch\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mn_epoch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 207\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_fit\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'fit'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mCancelFitException\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_end_cleanup\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    208\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    209\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_end_cleanup\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdl\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myb\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpred\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloss\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_with_events\u001b[0;34m(self, f, event_type, ex, final)\u001b[0m\n\u001b[1;32m    153\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mevent_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnoop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m       \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'before_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m       \u001b[0;34m;\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_cancel_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m   \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m        \u001b[0;34m;\u001b[0m\u001b[0mfinal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_do_fit\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    195\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mepoch\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mn_epoch\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    196\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mepoch\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mepoch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 197\u001b[0;31m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_epoch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'epoch'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mCancelEpochException\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    198\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    199\u001b[0m     \u001b[0;34m@\u001b[0m\u001b[0mlog_args\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbut\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'cbs'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_with_events\u001b[0;34m(self, f, event_type, ex, final)\u001b[0m\n\u001b[1;32m    153\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mevent_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnoop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m       \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'before_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m       \u001b[0;34m;\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_cancel_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m   \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m        \u001b[0;34m;\u001b[0m\u001b[0mfinal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_do_epoch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    189\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    190\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_do_epoch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 191\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_epoch_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    192\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_epoch_validate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    193\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_do_epoch_train\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    181\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_do_epoch_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdl\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdls\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtrain\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 183\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mall_batches\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'train'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mCancelTrainException\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    184\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    185\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_do_epoch_validate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mds_idx\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdl\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_with_events\u001b[0;34m(self, f, event_type, ex, final)\u001b[0m\n\u001b[1;32m    153\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mevent_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnoop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m       \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'before_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m       \u001b[0;34m;\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_cancel_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m   \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m        \u001b[0;34m;\u001b[0m\u001b[0mfinal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36mall_batches\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    159\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mall_batches\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    160\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mn_iter\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 161\u001b[0;31m         \u001b[0;32mfor\u001b[0m \u001b[0mo\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdl\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mone_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mo\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    162\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    163\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_do_one_batch\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36mone_batch\u001b[0;34m(self, i, b)\u001b[0m\n\u001b[1;32m    177\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0miter\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    178\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_split\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 179\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_do_one_batch\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'batch'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mCancelBatchException\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    180\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    181\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_do_epoch_train\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_with_events\u001b[0;34m(self, f, event_type, ex, final)\u001b[0m\n\u001b[1;32m    153\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    154\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_with_events\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mevent_type\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mnoop\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 155\u001b[0;31m         \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m       \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'before_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m       \u001b[0;34m;\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    156\u001b[0m         \u001b[0;32mexcept\u001b[0m \u001b[0mex\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_cancel_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    157\u001b[0m         \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m   \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mf'after_{event_type}'\u001b[0m\u001b[0;34m)\u001b[0m        \u001b[0;34m;\u001b[0m\u001b[0mfinal\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_do_one_batch\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    170\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    171\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'after_backward'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 172\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    173\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'after_step'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    174\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzero_grad\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/learner.py\u001b[0m in \u001b[0;36m_step\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m    149\u001b[0m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mxb\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myb\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    150\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 151\u001b[0;31m     \u001b[0;32mdef\u001b[0m \u001b[0m_step\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    152\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m_backward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloss\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbackward\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    153\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/optimizer.py\u001b[0m in \u001b[0;36mstep\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m     81\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mstep\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     82\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mpg\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mhyper\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mall_params\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mwith_grad\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 83\u001b[0;31m             \u001b[0;32mfor\u001b[0m \u001b[0mcb\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcbs\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mstate\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_update\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcb\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0;34m{\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mhyper\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     84\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mstate\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstate\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     85\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;32m/usr/local/lib/python3.6/dist-packages/fastai/optimizer.py\u001b[0m in \u001b[0;36maverage_sqr_grad\u001b[0;34m(p, sqr_mom, dampening, sqr_avg, **kwargs)\u001b[0m\n\u001b[1;32m    130\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0msqr_avg\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0msqr_avg\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtorch\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mzeros_like\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrad\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    131\u001b[0m     \u001b[0mdamp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0msqr_mom\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mdampening\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;36m1.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 132\u001b[0;31m     \u001b[0msqr_avg\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmul_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0msqr_mom\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddcmul_\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrad\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgrad\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdamp\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    133\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0;34m{\u001b[0m\u001b[0;34m'sqr_avg'\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0msqr_avg\u001b[0m\u001b[0;34m}\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
            "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
          ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "cj18E58Uan0H",
        "outputId": "21e949fc-31ee-4359-f6f8-fa2215de0870",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 142
        }
      },
      "source": [
        "dls=get_dls(124, 128)\n",
        "\n",
        "learn = Learner(dls, model, loss_func=CrossEntropyLossFlat(), metrics=accuracy)\n",
        "learn.fit_one_cycle(3, 3e-3)"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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        "outputId": "66330d94-4ac6-4f9f-8699-9e33fb36d0f3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 205
        }
      },
      "source": [
        "learn.dls = get_dls(224, 64)\n",
        "learn.fine_tune(3, 3e-3)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "      <th>valid_loss</th>\n",
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              "      <th>time</th>\n",
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              "      <td>0</td>\n",
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              "      <td>0.476230</td>\n",
              "      <td>0.451029</td>\n",
              "      <td>0.856609</td>\n",
              "      <td>02:51</td>\n",
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    {
      "cell_type": "code",
      "metadata": {
        "id": "7Y-0Q0C7fVh8",
        "outputId": "fdab8494-0f44-4d70-8d71-aa2ee6460aa3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "preds, targets = learn.tta()\n",
        "accuracy(preds, targets).item()"
      ],
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "    <div>\n",
              "        <style>\n",
              "            /* Turns off some styling */\n",
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              "                border: none;\n",
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              "                background-size: auto;\n",
              "            }\n",
              "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "                background: #F44336;\n",
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              ""
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              "<IPython.core.display.HTML object>"
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        {
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          "data": {
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              "0.8607169389724731"
            ]
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          "metadata": {
            "tags": []
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          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5qlTAEOQhKAU",
        "outputId": "b2f61e9f-7cdc-446c-96b8-354ab36d5dcc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 245
        }
      },
      "source": [
        "church = PILImage.create(get_image_files_sorted(path/'train'/'n03028079')[0])\n",
        "gas = PILImage.create(get_image_files_sorted(path/'train'/'n03425413')[0])\n",
        "church = church.resize((256, 256))\n",
        "gas = gas.resize((256, 256))\n",
        "tchurch = tensor(church).float()/255\n",
        "tgas = tensor(gas).float()/255\n",
        "\n",
        "_,axs = plt.subplots(1, 3, figsize=(12,4))\n",
        "show_image(tchurch, ax=axs[0])\n",
        "show_image(tgas, ax=axs[1])\n",
        "show_image(0.3*tchurch+0.7*tgas, ax=axs[2])\n"
      ],
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f445e86d7b8>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 41
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x288 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vWHiouiriUF1",
        "outputId": "7e0184eb-2c89-4447-99f3-a41af672af60",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "dls = get_dls(224, 64)\n",
        "model = xresnet50()\n",
        "learn = Learner(dls, model, loss_func=CrossEntropyLossFlat(), metrics=accuracy, cbs=MixUp)\n",
        "learn.fit_one_cycle(5, 3e-3)"
      ],
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>1.984097</td>\n",
              "      <td>2.295154</td>\n",
              "      <td>0.361464</td>\n",
              "      <td>02:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>1.660654</td>\n",
              "      <td>1.714832</td>\n",
              "      <td>0.449589</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>1.462210</td>\n",
              "      <td>1.806223</td>\n",
              "      <td>0.500000</td>\n",
              "      <td>02:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>1.275579</td>\n",
              "      <td>0.798052</td>\n",
              "      <td>0.764003</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>1.155670</td>\n",
              "      <td>0.693339</td>\n",
              "      <td>0.806572</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "P3XeCgi1mCpm",
        "outputId": "5c38aabb-a0ce-4515-82fe-e5e784466236",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "preds, targets = learn.tta()\n",
        "accuracy(preds, targets).item()"
      ],
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "\n",
              "    <div>\n",
              "        <style>\n",
              "            /* Turns off some styling */\n",
              "            progress {\n",
              "                /* gets rid of default border in Firefox and Opera. */\n",
              "                border: none;\n",
              "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "                background-size: auto;\n",
              "            }\n",
              "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
              "                background: #F44336;\n",
              "            }\n",
              "        </style>\n",
              "      <progress value='0' class='' max='5' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
              "      \n",
              "    </div>\n",
              "    \n"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              ""
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {
            "tags": []
          }
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.8084391355514526"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "FyHPV8vrmpPz",
        "outputId": "42a17dc5-94ef-40a2-a744-2593b98897b5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 204
        }
      },
      "source": [
        "dls = get_dls(224, 64)\n",
        "model = xresnet50()\n",
        "learn = Learner(dls, model, loss_func=LabelSmoothingCrossEntropyFlat(), metrics=accuracy)\n",
        "learn.fit_one_cycle(5, 3e-3)"
      ],
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: left;\">\n",
              "      <th>epoch</th>\n",
              "      <th>train_loss</th>\n",
              "      <th>valid_loss</th>\n",
              "      <th>accuracy</th>\n",
              "      <th>time</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <td>0</td>\n",
              "      <td>2.528303</td>\n",
              "      <td>2.865152</td>\n",
              "      <td>0.405153</td>\n",
              "      <td>02:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>1</td>\n",
              "      <td>2.133497</td>\n",
              "      <td>2.117025</td>\n",
              "      <td>0.625840</td>\n",
              "      <td>02:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>2</td>\n",
              "      <td>1.911929</td>\n",
              "      <td>1.851497</td>\n",
              "      <td>0.710978</td>\n",
              "      <td>02:52</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>3</td>\n",
              "      <td>1.692849</td>\n",
              "      <td>1.689775</td>\n",
              "      <td>0.769604</td>\n",
              "      <td>02:53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <td>4</td>\n",
              "      <td>1.575883</td>\n",
              "      <td>1.548132</td>\n",
              "      <td>0.830097</td>\n",
              "      <td>02:53</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>"
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      "metadata": {
        "id": "7ATv9_GJqGdG",
        "outputId": "d08646e9-494e-4e38-de4f-a00d2ea85a82",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 54
        }
      },
      "source": [
        "preds, targets = learn.tta()\n",
        "accuracy(preds, targets).item()"
      ],
      "execution_count": 45,
      "outputs": [
        {
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          "data": {
            "text/html": [
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              "        <style>\n",
              "            /* Turns off some styling */\n",
              "            progress {\n",
              "                /* gets rid of default border in Firefox and Opera. */\n",
              "                border: none;\n",
              "                /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
              "                background-size: auto;\n",
              "            }\n",
              "            .progress-bar-interrupted, .progress-bar-interrupted::-webkit-progress-bar {\n",
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}