timm.ipynb

timm.ipynb

{
  "cells": [
    {
      "metadata": {},
      "id": "otherwise-binding",
      "cell_type": "markdown",
      "source": "# Getting Started with PyTorch Image Models (timm): a practitioner's guide"
    },
    {
      "metadata": {},
      "id": "accurate-weekly",
      "cell_type": "markdown",
      "source": "The purpose of this notebook is to explore timm from a practitioner's point of view, focusing on how to use some of the features and components included in timm in custom training scripts. The focus is not to explore how or why these concepts work, or how they are implemented in timm; for this, links to the original papers will be provided where appropriate, and I would recommend timmdocs to learn more about timm's internals.\n\nAt the time of writing, the latest version of timm is `timm==0.5.4`"
    },
    {
      "metadata": {},
      "id": "fundamental-cancer",
      "cell_type": "markdown",
      "source": "### Table of Contents\n\n- [Models](#models)\n - [General Usage](#general-usage)\n - [Customizing Models](#customizing-models)\n - [Feature Extraction](#feature-extraction)\n - [Exporting to other formats](#exporting)\n- [Data Augmentation](data-augmentation)\n - [RandAugment](#randaugment)\n - [CutMix and Mixup](#cutmix-mixup)\n- [Datasets](#datasets)\n - [Using TorchVision Datasets](#datasets-torchvision)\n - [Using TensorFlow Datasets](#datasets-tf)\n - [Using Local Datasets](#datasets-local)\n - [The ImageDataset class](#imagedataset)\n- [Optimizers](#optimizers)\n - [Usage Example](#optimizer-usage)\n - [Lookahead](#lookahead)\n- [Schedulers](#schedulers)\n - [Usage Example](#scheduler-usage)\n - [Adjusting learning rate schedules](#lr-cycles)\n- [Exponential Moving Average Model](#ema-model)\n- [Putting it all together](#example)\n  "
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "crazy-damage",
      "cell_type": "code",
      "source": "import torch\n\nimport timm",
      "execution_count": 1,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "bigger-romania",
      "cell_type": "markdown",
      "source": "## Download Data "
    },
    {
      "metadata": {},
      "id": "electric-sandwich",
      "cell_type": "markdown",
      "source": "Before we begin, lets first download some popular datasets for demonstration purposes. Here, I'm using the Oxford-IIT Pet Dataset -  37 category pet dataset with roughly 200 images for each class- and Imagenette, a subset of 10 easily classified classes from Imagenet."
    },
    {
      "metadata": {},
      "id": "european-deputy",
      "cell_type": "markdown",
      "source": "### Download Pets Dataset "
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "sixth-seating",
      "cell_type": "code",
      "source": "!wget https://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz -P pets",
      "execution_count": 7,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "--2022-01-18 11:36:17--  https://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz\nResolving www.robots.ox.ac.uk (www.robots.ox.ac.uk)... 129.67.94.2\nConnecting to www.robots.ox.ac.uk (www.robots.ox.ac.uk)|129.67.94.2|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 791918971 (755M) [application/x-gzip]\nSaving to: ‘pets/images.tar.gz’\n\nimages.tar.gz       100%[===================>] 755.23M   112MB/s    in 6.8s    \n\n2022-01-18 11:36:24 (111 MB/s) - ‘pets/images.tar.gz’ saved [791918971/791918971]\n\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "fantastic-windows",
      "cell_type": "code",
      "source": "!tar zxf pets/images.tar.gz -C pets",
      "execution_count": 8,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "close-baghdad",
      "cell_type": "code",
      "source": "!ls pets/images",
      "execution_count": 10,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
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    {
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      },
      "id": "considered-thailand",
      "cell_type": "code",
      "source": "pets_image_paths",
      "execution_count": 22,
      "outputs": [
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PosixPath('pets/images/Russian_Blue_197.jpg'),\n PosixPath('pets/images/Egyptian_Mau_27.jpg'),\n PosixPath('pets/images/saint_bernard_159.jpg'),\n PosixPath('pets/images/Sphynx_110.jpg'),\n PosixPath('pets/images/British_Shorthair_51.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_88.jpg'),\n PosixPath('pets/images/Egyptian_Mau_43.jpg'),\n PosixPath('pets/images/english_setter_16.jpg'),\n PosixPath('pets/images/Sphynx_195.jpg'),\n PosixPath('pets/images/german_shorthaired_128.jpg'),\n PosixPath('pets/images/shiba_inu_209.jpg'),\n PosixPath('pets/images/american_bulldog_130.jpg'),\n PosixPath('pets/images/British_Shorthair_268.jpg'),\n PosixPath('pets/images/Sphynx_172.jpg'),\n PosixPath('pets/images/basset_hound_33.jpg'),\n PosixPath('pets/images/great_pyrenees_118.jpg'),\n PosixPath('pets/images/Egyptian_Mau_25.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_40.jpg'),\n PosixPath('pets/images/shiba_inu_185.jpg'),\n PosixPath('pets/images/Siamese_71.jpg'),\n PosixPath('pets/images/great_pyrenees_43.jpg'),\n PosixPath('pets/images/Sphynx_77.jpg'),\n PosixPath('pets/images/basset_hound_138.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_151.jpg'),\n PosixPath('pets/images/saint_bernard_51.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_29.jpg'),\n PosixPath('pets/images/japanese_chin_111.jpg'),\n PosixPath('pets/images/scottish_terrier_114.jpg'),\n PosixPath('pets/images/boxer_185.jpg'),\n PosixPath('pets/images/Russian_Blue_123.jpg'),\n PosixPath('pets/images/german_shorthaired_127.jpg'),\n PosixPath('pets/images/english_setter_98.jpg'),\n PosixPath('pets/images/samoyed_92.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_115.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_153.jpg'),\n PosixPath('pets/images/havanese_116.jpg'),\n PosixPath('pets/images/pomeranian_96.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_100.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_4.jpg'),\n PosixPath('pets/images/Egyptian_Mau_98.jpg'),\n PosixPath('pets/images/Siamese_250.jpg'),\n PosixPath('pets/images/Russian_Blue_88.jpg'),\n PosixPath('pets/images/British_Shorthair_29.jpg'),\n PosixPath('pets/images/saint_bernard_31.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_23.jpg'),\n PosixPath('pets/images/Siamese_108.jpg'),\n PosixPath('pets/images/Birman_38.jpg'),\n PosixPath('pets/images/Siamese_164.jpg'),\n PosixPath('pets/images/havanese_115.jpg'),\n PosixPath('pets/images/Bombay_210.jpg'),\n PosixPath('pets/images/boxer_65.jpg'),\n PosixPath('pets/images/Ragdoll_131.jpg'),\n PosixPath('pets/images/Siamese_32.jpg'),\n PosixPath('pets/images/shiba_inu_181.jpg'),\n PosixPath('pets/images/beagle_36.jpg'),\n PosixPath('pets/images/boxer_23.jpg'),\n PosixPath('pets/images/Russian_Blue_48.jpg'),\n PosixPath('pets/images/Egyptian_Mau_62.jpg'),\n PosixPath('pets/images/scottish_terrier_41.jpg'),\n PosixPath('pets/images/wheaten_terrier_65.jpg'),\n PosixPath('pets/images/Maine_Coon_141.jpg'),\n PosixPath('pets/images/basset_hound_185.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_2.jpg'),\n PosixPath('pets/images/Bombay_134.jpg'),\n PosixPath('pets/images/Russian_Blue_183.jpg'),\n PosixPath('pets/images/english_setter_137.jpg'),\n PosixPath('pets/images/saint_bernard_113.jpg'),\n PosixPath('pets/images/beagle_204.jpg'),\n PosixPath('pets/images/great_pyrenees_132.jpg'),\n PosixPath('pets/images/newfoundland_7.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_127.jpg'),\n PosixPath('pets/images/saint_bernard_12.jpg'),\n PosixPath('pets/images/chihuahua_113.jpg'),\n PosixPath('pets/images/american_pit_bull_terrier_5.jpg'),\n PosixPath('pets/images/miniature_pinscher_92.jpg'),\n PosixPath('pets/images/basset_hound_199.jpg'),\n PosixPath('pets/images/chihuahua_167.jpg'),\n PosixPath('pets/images/basset_hound_123.jpg'),\n PosixPath('pets/images/Birman_192.jpg'),\n PosixPath('pets/images/english_setter_148.jpg'),\n PosixPath('pets/images/leonberger_166.jpg'),\n PosixPath('pets/images/pomeranian_61.jpg'),\n PosixPath('pets/images/Bengal_136.jpg'),\n PosixPath('pets/images/basset_hound_5.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_61.jpg'),\n PosixPath('pets/images/miniature_pinscher_103.jpg'),\n PosixPath('pets/images/pug_44.jpg'),\n PosixPath('pets/images/Siamese_63.jpg'),\n PosixPath('pets/images/Maine_Coon_48.jpg'),\n PosixPath('pets/images/Russian_Blue_168.jpg'),\n PosixPath('pets/images/scottish_terrier_131.jpg'),\n PosixPath('pets/images/pomeranian_23.jpg'),\n PosixPath('pets/images/Bombay_145.jpg'),\n PosixPath('pets/images/British_Shorthair_22.jpg'),\n PosixPath('pets/images/boxer_29.jpg'),\n PosixPath('pets/images/american_bulldog_21.jpg'),\n PosixPath('pets/images/chihuahua_56.jpg'),\n PosixPath('pets/images/shiba_inu_57.jpg'),\n PosixPath('pets/images/scottish_terrier_142.jpg'),\n PosixPath('pets/images/great_pyrenees_192.jpg'),\n PosixPath('pets/images/japanese_chin_171.jpg'),\n PosixPath('pets/images/Bengal_133.jpg'),\n PosixPath('pets/images/beagle_140.jpg'),\n PosixPath('pets/images/British_Shorthair_278.jpg'),\n PosixPath('pets/images/Egyptian_Mau_22.jpg'),\n PosixPath('pets/images/pug_33.jpg'),\n PosixPath('pets/images/Siamese_160.jpg'),\n PosixPath('pets/images/scottish_terrier_152.jpg'),\n PosixPath('pets/images/american_pit_bull_terrier_100.jpg'),\n PosixPath('pets/images/american_bulldog_90.jpg'),\n PosixPath('pets/images/Maine_Coon_162.jpg'),\n PosixPath('pets/images/Russian_Blue_222.jpg'),\n PosixPath('pets/images/beagle_72.jpg'),\n PosixPath('pets/images/keeshond_49.jpg'),\n PosixPath('pets/images/german_shorthaired_21.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_11.jpg'),\n PosixPath('pets/images/american_bulldog_217.jpg'),\n PosixPath('pets/images/Bengal_88.jpg'),\n PosixPath('pets/images/keeshond_111.jpg'),\n PosixPath('pets/images/leonberger_54.jpg'),\n PosixPath('pets/images/Egyptian_Mau_94.jpg'),\n PosixPath('pets/images/Russian_Blue_221.jpg'),\n PosixPath('pets/images/Russian_Blue_87.jpg'),\n PosixPath('pets/images/Birman_124.jpg'),\n PosixPath('pets/images/miniature_pinscher_189.jpg'),\n PosixPath('pets/images/scottish_terrier_163.jpg'),\n PosixPath('pets/images/japanese_chin_105.jpg'),\n PosixPath('pets/images/basset_hound_2.jpg'),\n PosixPath('pets/images/shiba_inu_118.jpg'),\n PosixPath('pets/images/Egyptian_Mau_106.jpg'),\n PosixPath('pets/images/keeshond_170.jpg'),\n PosixPath('pets/images/Bombay_146.jpg'),\n PosixPath('pets/images/havanese_170.jpg'),\n PosixPath('pets/images/Birman_34.jpg'),\n PosixPath('pets/images/samoyed_13.jpg'),\n PosixPath('pets/images/shiba_inu_103.jpg'),\n PosixPath('pets/images/boxer_54.jpg'),\n PosixPath('pets/images/Siamese_90.jpg'),\n PosixPath('pets/images/chihuahua_137.jpg'),\n PosixPath('pets/images/British_Shorthair_273.jpg'),\n PosixPath('pets/images/pug_93.jpg'),\n PosixPath('pets/images/Birman_116.jpg'),\n PosixPath('pets/images/boxer_173.jpg'),\n PosixPath('pets/images/Siamese_171.jpg'),\n PosixPath('pets/images/Maine_Coon_91.jpg'),\n PosixPath('pets/images/keeshond_94.jpg'),\n PosixPath('pets/images/chihuahua_65.jpg'),\n PosixPath('pets/images/Abyssinian_22.jpg'),\n PosixPath('pets/images/pug_70.jpg'),\n PosixPath('pets/images/British_Shorthair_223.jpg'),\n PosixPath('pets/images/japanese_chin_46.jpg'),\n PosixPath('pets/images/chihuahua_173.jpg'),\n PosixPath('pets/images/saint_bernard_91.jpg'),\n PosixPath('pets/images/saint_bernard_163.jpg'),\n PosixPath('pets/images/Persian_180.jpg'),\n PosixPath('pets/images/Abyssinian_201.jpg'),\n PosixPath('pets/images/British_Shorthair_105.jpg'),\n PosixPath('pets/images/american_bulldog_84.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_14.jpg'),\n PosixPath('pets/images/newfoundland_186.jpg'),\n PosixPath('pets/images/great_pyrenees_73.jpg'),\n PosixPath('pets/images/german_shorthaired_198.jpg'),\n PosixPath('pets/images/samoyed_10.jpg'),\n PosixPath('pets/images/wheaten_terrier_153.jpg'),\n PosixPath('pets/images/Siamese_152.jpg'),\n PosixPath('pets/images/pomeranian_75.jpg'),\n PosixPath('pets/images/yorkshire_terrier_19.jpg'),\n PosixPath('pets/images/newfoundland_126.jpg'),\n PosixPath('pets/images/Russian_Blue_205.jpg'),\n PosixPath('pets/images/miniature_pinscher_152.jpg'),\n PosixPath('pets/images/samoyed_164.jpg'),\n PosixPath('pets/images/keeshond_72.jpg'),\n PosixPath('pets/images/beagle_24.jpg'),\n PosixPath('pets/images/Persian_122.jpg'),\n PosixPath('pets/images/Russian_Blue_204.jpg'),\n PosixPath('pets/images/British_Shorthair_39.jpg'),\n PosixPath('pets/images/basset_hound_82.jpg'),\n PosixPath('pets/images/pug_75.jpg'),\n PosixPath('pets/images/Sphynx_233.jpg'),\n PosixPath('pets/images/wheaten_terrier_31.jpg'),\n PosixPath('pets/images/newfoundland_64.jpg'),\n PosixPath('pets/images/Sphynx_211.jpg'),\n PosixPath('pets/images/Birman_68.jpg'),\n PosixPath('pets/images/pug_81.jpg'),\n PosixPath('pets/images/german_shorthaired_190.jpg'),\n PosixPath('pets/images/Birman_54.jpg'),\n PosixPath('pets/images/yorkshire_terrier_16.jpg'),\n PosixPath('pets/images/Russian_Blue_90.jpg'),\n PosixPath('pets/images/newfoundland_84.jpg'),\n PosixPath('pets/images/beagle_80.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_137.jpg'),\n PosixPath('pets/images/keeshond_25.jpg'),\n PosixPath('pets/images/scottish_terrier_111.jpg'),\n PosixPath('pets/images/japanese_chin_154.jpg'),\n PosixPath('pets/images/german_shorthaired_120.jpg'),\n PosixPath('pets/images/beagle_9.jpg'),\n PosixPath('pets/images/beagle_179.jpg'),\n PosixPath('pets/images/Ragdoll_185.jpg'),\n PosixPath('pets/images/Russian_Blue_258.jpg'),\n PosixPath('pets/images/shiba_inu_142.jpg'),\n PosixPath('pets/images/scottish_terrier_180.jpg'),\n PosixPath('pets/images/german_shorthaired_124.jpg'),\n PosixPath('pets/images/Egyptian_Mau_61.jpg'),\n PosixPath('pets/images/yorkshire_terrier_12.jpg'),\n PosixPath('pets/images/american_bulldog_104.jpg'),\n PosixPath('pets/images/german_shorthaired_111.jpg'),\n PosixPath('pets/images/pomeranian_8.jpg'),\n PosixPath('pets/images/japanese_chin_129.jpg'),\n PosixPath('pets/images/shiba_inu_127.jpg'),\n PosixPath('pets/images/japanese_chin_174.jpg'),\n PosixPath('pets/images/chihuahua_151.jpg'),\n PosixPath('pets/images/great_pyrenees_184.jpg'),\n PosixPath('pets/images/Abyssinian_169.jpg'),\n PosixPath('pets/images/pug_127.jpg'),\n PosixPath('pets/images/Sphynx_70.jpg'),\n PosixPath('pets/images/Maine_Coon_115.jpg'),\n PosixPath('pets/images/samoyed_59.jpg'),\n PosixPath('pets/images/beagle_187.jpg'),\n PosixPath('pets/images/Egyptian_Mau_77.jpg'),\n PosixPath('pets/images/boxer_120.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_32.jpg'),\n PosixPath('pets/images/german_shorthaired_54.jpg'),\n PosixPath('pets/images/american_pit_bull_terrier_77.jpg'),\n PosixPath('pets/images/english_setter_53.jpg'),\n PosixPath('pets/images/basset_hound_45.jpg'),\n PosixPath('pets/images/miniature_pinscher_150.jpg'),\n PosixPath('pets/images/english_setter_107.jpg'),\n PosixPath('pets/images/leonberger_39.jpg'),\n PosixPath('pets/images/British_Shorthair_204.jpg'),\n PosixPath('pets/images/yorkshire_terrier_197.jpg'),\n PosixPath('pets/images/Ragdoll_74.jpg'),\n PosixPath('pets/images/havanese_163.jpg'),\n PosixPath('pets/images/Persian_228.jpg'),\n PosixPath('pets/images/newfoundland_118.jpg'),\n PosixPath('pets/images/keeshond_87.jpg'),\n PosixPath('pets/images/Birman_148.jpg'),\n PosixPath('pets/images/scottish_terrier_179.jpg'),\n PosixPath('pets/images/staffordshire_bull_terrier_90.jpg'),\n PosixPath('pets/images/basset_hound_129.jpg'),\n PosixPath('pets/images/Siamese_185.jpg'),\n PosixPath('pets/images/basset_hound_113.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_24.jpg'),\n PosixPath('pets/images/Bombay_11.jpg'),\n PosixPath('pets/images/great_pyrenees_196.jpg'),\n PosixPath('pets/images/saint_bernard_185.jpg'),\n PosixPath('pets/images/german_shorthaired_193.jpg'),\n PosixPath('pets/images/great_pyrenees_100.jpg'),\n PosixPath('pets/images/keeshond_18.jpg'),\n PosixPath('pets/images/japanese_chin_123.jpg'),\n PosixPath('pets/images/american_bulldog_103.jpg'),\n PosixPath('pets/images/leonberger_119.jpg'),\n PosixPath('pets/images/Persian_13.jpg'),\n PosixPath('pets/images/Birman_118.jpg'),\n PosixPath('pets/images/wheaten_terrier_124.jpg'),\n PosixPath('pets/images/Abyssinian_117.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_110.jpg'),\n PosixPath('pets/images/chihuahua_196.jpg'),\n PosixPath('pets/images/american_pit_bull_terrier_116.jpg'),\n PosixPath('pets/images/samoyed_145.jpg'),\n PosixPath('pets/images/pug_73.jpg'),\n PosixPath('pets/images/Russian_Blue_34.jpg'),\n PosixPath('pets/images/Sphynx_57.jpg'),\n PosixPath('pets/images/shiba_inu_66.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_62.jpg'),\n PosixPath('pets/images/Persian_55.jpg'),\n PosixPath('pets/images/Abyssinian_155.jpg'),\n PosixPath('pets/images/Siamese_6.jpg'),\n PosixPath('pets/images/Egyptian_Mau_44.jpg'),\n PosixPath('pets/images/chihuahua_91.jpg'),\n PosixPath('pets/images/pug_165.jpg'),\n PosixPath('pets/images/Siamese_110.jpg'),\n PosixPath('pets/images/samoyed_170.jpg'),\n PosixPath('pets/images/boxer_26.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_176.jpg'),\n PosixPath('pets/images/wheaten_terrier_22.jpg'),\n PosixPath('pets/images/american_bulldog_111.jpg'),\n PosixPath('pets/images/British_Shorthair_66.jpg'),\n PosixPath('pets/images/samoyed_53.jpg'),\n PosixPath('pets/images/keeshond_47.jpg'),\n PosixPath('pets/images/japanese_chin_189.jpg'),\n PosixPath('pets/images/american_pit_bull_terrier_59.jpg'),\n PosixPath('pets/images/wheaten_terrier_105.jpg'),\n PosixPath('pets/images/Ragdoll_135.jpg'),\n PosixPath('pets/images/german_shorthaired_129.jpg'),\n PosixPath('pets/images/wheaten_terrier_186.jpg'),\n PosixPath('pets/images/Ragdoll_128.jpg'),\n PosixPath('pets/images/yorkshire_terrier_58.jpg'),\n PosixPath('pets/images/great_pyrenees_176.jpg'),\n PosixPath('pets/images/beagle_42.jpg'),\n PosixPath('pets/images/basset_hound_20.jpg'),\n PosixPath('pets/images/pomeranian_15.jpg'),\n PosixPath('pets/images/great_pyrenees_103.jpg'),\n PosixPath('pets/images/pomeranian_112.jpg'),\n PosixPath('pets/images/beagle_114.jpg'),\n PosixPath('pets/images/Maine_Coon_159.jpg'),\n PosixPath('pets/images/saint_bernard_152.jpg'),\n PosixPath('pets/images/pug_48.jpg'),\n PosixPath('pets/images/english_setter_112.jpg'),\n PosixPath('pets/images/keeshond_195.jpg'),\n PosixPath('pets/images/havanese_183.jpg'),\n PosixPath('pets/images/Bengal_193.jpg'),\n PosixPath('pets/images/boxer_94.jpg'),\n PosixPath('pets/images/samoyed_45.jpg'),\n PosixPath('pets/images/english_cocker_spaniel_17.jpg'),\n PosixPath('pets/images/Abyssinian_9.jpg'),\n PosixPath('pets/images/american_pit_bull_terrier_104.jpg'),\n PosixPath('pets/images/miniature_pinscher_6.jpg'),\n PosixPath('pets/images/Maine_Coon_269.jpg'),\n PosixPath('pets/images/japanese_chin_99.jpg'),\n PosixPath('pets/images/Birman_27.jpg'),\n PosixPath('pets/images/Persian_185.jpg'),\n PosixPath('pets/images/leonberger_179.jpg'),\n PosixPath('pets/images/english_setter_161.jpg'),\n PosixPath('pets/images/pug_85.jpg'),\n PosixPath('pets/images/keeshond_171.jpg'),\n PosixPath('pets/images/Ragdoll_105.jpg'),\n PosixPath('pets/images/great_pyrenees_120.jpg'),\n PosixPath('pets/images/miniature_pinscher_171.jpg'),\n PosixPath('pets/images/Egyptian_Mau_2.jpg'),\n PosixPath('pets/images/scottish_terrier_72.jpg'),\n PosixPath('pets/images/pug_142.jpg'),\n PosixPath('pets/images/Russian_Blue_12.jpg'),\n PosixPath('pets/images/great_pyrenees_138.jpg'),\n PosixPath('pets/images/wheaten_terrier_75.jpg'),\n PosixPath('pets/images/beagle_7.jpg'),\n PosixPath('pets/images/miniature_pinscher_102.jpg'),\n PosixPath('pets/images/British_Shorthair_58.jpg'),\n PosixPath('pets/images/Birman_131.jpg'),\n ...]"
          },
          "execution_count": 22,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "buried-marking",
      "cell_type": "markdown",
      "source": "### Download Imagenette"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "allied-nurse",
      "cell_type": "code",
      "source": "!wget https://s3.amazonaws.com/fast-ai-imageclas/imagenette2-320.tgz -P imagenette",
      "execution_count": 14,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "--2022-01-18 11:39:58--  https://s3.amazonaws.com/fast-ai-imageclas/imagenette2-320.tgz\nResolving s3.amazonaws.com (s3.amazonaws.com)... 52.216.237.125\nConnecting to s3.amazonaws.com (s3.amazonaws.com)|52.216.237.125|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 341663724 (326M) [application/x-tar]\nSaving to: ‘imagenette/imagenette2-320.tgz’\n\nimagenette2-320.tgz 100%[===================>] 325.83M  42.9MB/s    in 9.0s    \n\n2022-01-18 11:40:07 (36.2 MB/s) - ‘imagenette/imagenette2-320.tgz’ saved [341663724/341663724]\n\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "printable-inspector",
      "cell_type": "code",
      "source": "!tar zxf imagenette/imagenette2-320.tgz -C imagenette",
      "execution_count": 15,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "explicit-frame",
      "cell_type": "code",
      "source": "!gzip -d imagenette/imagenette2-320.tgz",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "renewable-george",
      "cell_type": "code",
      "source": "!ls imagenette",
      "execution_count": 18,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "imagenette2-320  imagenette2-320.tar\r\n"
        }
      ]
    },
    {
      "metadata": {},
      "id": "functioning-testing",
      "cell_type": "markdown",
      "source": "### Set Data Paths"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "personal-musician",
      "cell_type": "code",
      "source": "from pathlib import Path",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "bearing-veteran",
      "cell_type": "code",
      "source": "pets_path = Path('pets/images')\npets_image_paths = list(pets_path.iterdir())",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "desirable-zealand",
      "cell_type": "markdown",
      "source": "# Models <a class=\"anchor\" id=\"models\"></a>"
    },
    {
      "metadata": {},
      "id": "subsequent-violence",
      "cell_type": "markdown",
      "source": "One of the most popular features of timm is its large, and ever-growing collection of model architectures. Many of these models contain pretrained weights - either trained natively in PyTorch, or ported from other libraries such as Jax and Tensorflow - which can be easily downloaded and used.\n\nWe can list, and query, the collection available models as demonstrated below:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "greatest-compilation",
      "cell_type": "code",
      "source": "len(timm.list_models('*'))",
      "execution_count": 4,
      "outputs": [
        {
          "data": {
            "text/plain": "739"
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "vietnamese-final",
      "cell_type": "markdown",
      "source": "We can also use the `pretrained` argument to filter this selection to the models with pretrained weights:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "martial-advisory",
      "cell_type": "code",
      "source": "len(timm.list_models(pretrained=True))",
      "execution_count": 5,
      "outputs": [
        {
          "data": {
            "text/plain": "592"
          },
          "execution_count": 5,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "metallic-matthew",
      "cell_type": "markdown",
      "source": "This is still an impressive number! If you are experiencing a little option paralysis at this point, don't despair! A helpful resource which can be used to explore some of the models available, and understand their performance, is [this summary page](https://paperswithcode.com/lib/timm) by [Papers with code](https://paperswithcode.com/), which contains benchmarks and links to the original papers for many of the models included in timm.\n\nFor simplicity, let's stick with the familiar, tried and tested, ResNet model family here. We can list the different ResNet variants available by providing a wildcard string, which will be used as a filter based on the model names:"
    },
    {
      "metadata": {
        "scrolled": true,
        "trusted": false
      },
      "id": "rational-proxy",
      "cell_type": "code",
      "source": "timm.list_models('resnet*', pretrained=True)",
      "execution_count": 6,
      "outputs": [
        {
          "data": {
            "text/plain": "['resnet18',\n 'resnet18d',\n 'resnet26',\n 'resnet26d',\n 'resnet26t',\n 'resnet32ts',\n 'resnet33ts',\n 'resnet34',\n 'resnet34d',\n 'resnet50',\n 'resnet50_gn',\n 'resnet50d',\n 'resnet51q',\n 'resnet61q',\n 'resnet101',\n 'resnet101d',\n 'resnet152',\n 'resnet152d',\n 'resnet200d',\n 'resnetblur50',\n 'resnetrs50',\n 'resnetrs101',\n 'resnetrs152',\n 'resnetrs200',\n 'resnetrs270',\n 'resnetrs350',\n 'resnetrs420',\n 'resnetv2_50',\n 'resnetv2_50x1_bit_distilled',\n 'resnetv2_50x1_bitm',\n 'resnetv2_50x1_bitm_in21k',\n 'resnetv2_50x3_bitm',\n 'resnetv2_50x3_bitm_in21k',\n 'resnetv2_101',\n 'resnetv2_101x1_bitm',\n 'resnetv2_101x1_bitm_in21k',\n 'resnetv2_101x3_bitm',\n 'resnetv2_101x3_bitm_in21k',\n 'resnetv2_152x2_bit_teacher',\n 'resnetv2_152x2_bit_teacher_384',\n 'resnetv2_152x2_bitm',\n 'resnetv2_152x2_bitm_in21k',\n 'resnetv2_152x4_bitm',\n 'resnetv2_152x4_bitm_in21k']"
          },
          "execution_count": 6,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "immediate-instrument",
      "cell_type": "markdown",
      "source": "As we can see, there are still a lot of options! Now, let's explore how we can create a model from this list."
    },
    {
      "metadata": {},
      "id": "biblical-factor",
      "cell_type": "markdown",
      "source": "## General Usage <a class=\"anchor\" id=\"general-usage\"></a>"
    },
    {
      "metadata": {},
      "id": "experienced-swaziland",
      "cell_type": "markdown",
      "source": "The easiest way to create a model is by using `create_model`; a factory function that can be used to create any model in the timm library.\n\nLet's demonstrate this by creating a `Resnet-D` model, as introduced in the `Bag of Tricks for Image Classification For Convolutional Neural Networks` paper; which is a modification on the ResNet architecture that utilises an average pooling tweak for downsampling. This was largely an arbitrary choice, and the features that are demonstrated here should work on the majority of models included in timm."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "horizontal-toronto",
      "cell_type": "code",
      "source": "model = timm.create_model('resnet50d', pretrained=True)",
      "execution_count": 7,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "fitted-vietnamese",
      "cell_type": "code",
      "source": "model",
      "execution_count": 8,
      "outputs": [
        {
          "data": {
            "text/plain": "ResNet(\n  (conv1): Sequential(\n    (0): Conv2d(3, 32, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n    (1): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n    (2): ReLU(inplace=True)\n    (3): Conv2d(32, 32, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n    (4): BatchNorm2d(32, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n    (5): ReLU(inplace=True)\n    (6): Conv2d(32, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n  )\n  (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n  (act1): ReLU(inplace=True)\n  (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)\n  (layer1): Sequential(\n    (0): Bottleneck(\n      (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n      (downsample): Sequential(\n        (0): Identity()\n        (1): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n        (2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n    )\n    (1): Bottleneck(\n      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (2): Bottleneck(\n      (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(64, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n  )\n  (layer2): Sequential(\n    (0): Bottleneck(\n      (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n      (downsample): Sequential(\n        (0): AvgPool2d(kernel_size=2, stride=2, padding=0)\n        (1): Conv2d(256, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n        (2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n    )\n    (1): Bottleneck(\n      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (2): Bottleneck(\n      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (3): Bottleneck(\n      (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(128, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n  )\n  (layer3): Sequential(\n    (0): Bottleneck(\n      (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n      (downsample): Sequential(\n        (0): AvgPool2d(kernel_size=2, stride=2, padding=0)\n        (1): Conv2d(512, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n        (2): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n    )\n    (1): Bottleneck(\n      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (2): Bottleneck(\n      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (3): Bottleneck(\n      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (4): Bottleneck(\n      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (5): Bottleneck(\n      (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(256, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(1024, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n  )\n  (layer4): Sequential(\n    (0): Bottleneck(\n      (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n      (downsample): Sequential(\n        (0): AvgPool2d(kernel_size=2, stride=2, padding=0)\n        (1): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n        (2): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      )\n    )\n    (1): Bottleneck(\n      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n    (2): Bottleneck(\n      (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn1): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act1): ReLU(inplace=True)\n      (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)\n      (bn2): BatchNorm2d(512, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act2): ReLU(inplace=True)\n      (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)\n      (bn3): BatchNorm2d(2048, eps=1e-05, momentum=0.1, affine=True, track_running_stats=True)\n      (act3): ReLU(inplace=True)\n    )\n  )\n  (global_pool): SelectAdaptivePool2d (pool_type=avg, flatten=Flatten(start_dim=1, end_dim=-1))\n  (fc): Linear(in_features=2048, out_features=1000, bias=True)\n)"
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "demographic-given",
      "cell_type": "markdown",
      "source": "As we can see, this is just a regular PyTorch model. \n\nTo help us understand more about how to use this model, we can access its config, which contains information such as the statistics that should be used to normalise the input data, the number of output classes and the name of the classification portion of the network."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "impaired-marine",
      "cell_type": "code",
      "source": "model.default_cfg",
      "execution_count": 9,
      "outputs": [
        {
          "data": {
            "text/plain": "{'url': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet50d_ra2-464e36ba.pth',\n 'num_classes': 1000,\n 'input_size': (3, 224, 224),\n 'pool_size': (7, 7),\n 'crop_pct': 0.875,\n 'interpolation': 'bicubic',\n 'mean': (0.485, 0.456, 0.406),\n 'std': (0.229, 0.224, 0.225),\n 'first_conv': 'conv1.0',\n 'classifier': 'fc',\n 'architecture': 'resnet50d'}"
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "right-oxide",
      "cell_type": "markdown",
      "source": "### Pretrained Models for images with varying numbers of input channels"
    },
    {
      "metadata": {},
      "id": "large-combine",
      "cell_type": "markdown",
      "source": "One less well known, but incredibly useful, feature of timm models is that they are able to work on input images with varying numbers of channels, which pose a problem for most other libraries; an excellent explanation of how this works is described [here](https://fastai.github.io/timmdocs/models#So-how-is-timm-able-to-load-these-weights?). Intuitively, timm does this by summing the weights of the initial convolutional layer for channels fewer than 3, or intelligently replicating these weights to the desired number of channels otherwise.\n\nWe can specify the number of channels for our input images by passing the `in_chans` argument to `create_model`. "
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "tender-numbers",
      "cell_type": "code",
      "source": "m = timm.create_model('resnet50d', pretrained=True, in_chans=1)\n\n# single channel image\nx = torch.randn(1, 1, 224, 224)\n\nm(x).shape",
      "execution_count": 10,
      "outputs": [
        {
          "data": {
            "text/plain": "torch.Size([1, 1000])"
          },
          "execution_count": 10,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "amateur-israeli",
      "cell_type": "markdown",
      "source": "Using a random tensor to represent a single channel image in this case, we can see that the model has processed the image and returned the expected output shape.\n\nIt is important to note that, whilst this has enabled us to use a pretrained model, the input is significantly different to the images that the model was trained on. Because of this, we should not expect the same level of performance, and finetune the model on the new dataset before using on the task!"
    },
    {
      "metadata": {},
      "id": "historical-viewer",
      "cell_type": "markdown",
      "source": "## Customizing models <a class=\"anchor\" id=\"customizing-models\"></a>"
    },
    {
      "metadata": {},
      "id": "statewide-aspect",
      "cell_type": "markdown",
      "source": "In addition to creating models with stock architectures, `create_model` also supports a number of arguments enabling us to customise a model for our task.\n\nThe arguments that are supported can depend on the underlying model architecture, with some arguments such as:\n\n- `global_pool`: determine the type of global pooling to be used before the final classification layers \n\nbeing model specific. In this case, it is dependent on whether the architecture employs a global pooling layer. Therefore, whilst we will be fine using this with a ResNet-like model, it wouldn't make sense to use it with [ViT](https://arxiv.org/abs/2010.11929v2), which doesn't use average pooling.\n\nWhilst some arguments are model specific, arguments such as:\n\n- `drop_rate`: set the dropout rate for training (Default: `0`)\n\n- `num_classes`: the number of output neurons corresponding to classes\n\ncan be used for almost all models.\n\nBefore we explore some of the ways that we can do this, lets examine the default architecture of our current model."
    },
    {
      "metadata": {},
      "id": "subsequent-glance",
      "cell_type": "markdown",
      "source": "### Changing the number of classes"
    },
    {
      "metadata": {},
      "id": "graphic-receptor",
      "cell_type": "markdown",
      "source": "Examining the model config that we saw earlier, we can see that the name of the classification head for our network is `fc`. We can use this to access the corresponding module directly."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "bearing-findings",
      "cell_type": "code",
      "source": "model.fc",
      "execution_count": 11,
      "outputs": [
        {
          "data": {
            "text/plain": "Linear(in_features=2048, out_features=1000, bias=True)"
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "trying-intake",
      "cell_type": "markdown",
      "source": "However, this name is likely to change depending on the model architecture used. To provide a consistent interface for different models, timm models have the `get_classifier` method, which we can use to retrieve the classification head without having to lookup the module name."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "civic-sound",
      "cell_type": "code",
      "source": "model.get_classifier()",
      "execution_count": 12,
      "outputs": [
        {
          "data": {
            "text/plain": "Linear(in_features=2048, out_features=1000, bias=True)"
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "failing-lover",
      "cell_type": "markdown",
      "source": "As expected, this returns the same linear layer as before.\n\nAs this model was pretrained on ImageNet, we can see that the final layer outputs 1000 classes. We can change this with the `num_classes` argument:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "surprising-communist",
      "cell_type": "code",
      "source": "timm.create_model('resnet50d', pretrained=True, num_classes=10).get_classifier()",
      "execution_count": 13,
      "outputs": [
        {
          "data": {
            "text/plain": "Linear(in_features=2048, out_features=10, bias=True)"
          },
          "execution_count": 13,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "amazing-master",
      "cell_type": "markdown",
      "source": "Inspecting the classifier, we can see that timm has replaced the final layer with a new, untrained, linear layer with the desired number of classes; ready to finetune on our dataset!\n\nIf we would like to avoid creating the last layer completely, we can set the number of classes equal to `0`, which will create a model with the identity function as the final layer; this can be useful for inspecting the output of penultimate layer."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "marine-geometry",
      "cell_type": "code",
      "source": "timm.create_model('resnet50d', pretrained=True, num_classes=0).get_classifier()",
      "execution_count": 11,
      "outputs": [
        {
          "data": {
            "text/plain": "Identity()"
          },
          "execution_count": 11,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "written-chambers",
      "cell_type": "markdown",
      "source": "### Global Pooling options"
    },
    {
      "metadata": {},
      "id": "sublime-netherlands",
      "cell_type": "markdown",
      "source": "From our model's config, we can also see that the `pool_size` is set, informing us that a global pooling layer is used before the classifier. We can inspect this as follows:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "refined-calgary",
      "cell_type": "code",
      "source": "model.global_pool",
      "execution_count": 12,
      "outputs": [
        {
          "data": {
            "text/plain": "SelectAdaptivePool2d (pool_type=avg, flatten=Flatten(start_dim=1, end_dim=-1))"
          },
          "execution_count": 12,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "injured-singapore",
      "cell_type": "markdown",
      "source": "Here, we can see that this returns an instance of `SelectAdaptivePool2d`, which is a custom layer provided by timm, which supports different pooling and flattening configurations. At the time of writing, the supported pooling options are:\n- `avg`: Average pooling\n- `max`:  Max pooling\n- `avgmax`: the sum of average and max pooling, re-scaled by 0.5\n- `catavgmax`: a concatenation of the outputs of average and max pooling along feature dimension. Note that this will double the feature dimension.\n- `''`: No pooling is used, the pooling layer is replaced by an Identity operation"
    },
    {
      "metadata": {},
      "id": "strong-reporter",
      "cell_type": "markdown",
      "source": "We can visualise the output shapes of the different pooling options as demonstrated below"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "dress-entry",
      "cell_type": "code",
      "source": "pool_types = ['avg', 'max', 'avgmax', 'catavgmax', '']\n\nfor pool in pool_types:\n    model = timm.create_model('resnet50d', pretrained=True, num_classes=0, global_pool=pool)\n    model.eval()\n    feature_output = model(torch.randn(1, 3, 224, 224))\n    print(feature_output.shape)\n    ",
      "execution_count": 13,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "torch.Size([1, 2048])\ntorch.Size([1, 2048])\ntorch.Size([1, 2048])\ntorch.Size([1, 4096])\ntorch.Size([1, 2048, 7, 7])\n"
        }
      ]
    },
    {
      "metadata": {},
      "id": "alien-contents",
      "cell_type": "markdown",
      "source": "### Modifying an existing model"
    },
    {
      "metadata": {},
      "id": "crucial-white",
      "cell_type": "markdown",
      "source": "We can also modify the classifier and pooling layers of an existing model, using the `reset_classifier` method:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "surgical-congo",
      "cell_type": "code",
      "source": "m = timm.create_model('resnet50d', pretrained=True)\n\nprint(f'Original pooling: {m.global_pool}')\nprint(f'Original classifier: {m.get_classifier()}')\nprint('--------------------')\n\nm.reset_classifier(10, 'max')\n\nprint(f'Modified pooling: {m.global_pool}')\nprint(f'Modified classifier: {m.get_classifier()}')\n",
      "execution_count": 18,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "Original pooling: SelectAdaptivePool2d (pool_type=avg, flatten=Flatten(start_dim=1, end_dim=-1))\nOriginal classifier: Linear(in_features=2048, out_features=1000, bias=True)\n--------------------\nModified pooling: SelectAdaptivePool2d (pool_type=max, flatten=Flatten(start_dim=1, end_dim=-1))\nModified classifier: Linear(in_features=2048, out_features=10, bias=True)\n"
        }
      ]
    },
    {
      "metadata": {},
      "id": "closed-confirmation",
      "cell_type": "markdown",
      "source": "### Creating a new classification head"
    },
    {
      "metadata": {},
      "id": "religious-shame",
      "cell_type": "markdown",
      "source": "Whilst it has been demonstrated that using a single linear layer as our classifier is sufficient to achieve good results, when finetuning models on downstream tasks, I've often found that using a slightly larger head can lead to increased performance. Let's explore how we can modify our ResNet model further.\n\nFirst, let's create our ResNet model as before, specifying that we would like 10 classes. As we are using a larger head, let's use `catavgmax` for our pooling, so that we provide more information as input to our classifier."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "mineral-advance",
      "cell_type": "code",
      "source": "model = timm.create_model('resnet50d', pretrained=True, num_classes=10, global_pool='catavgmax')",
      "execution_count": 14,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "accepting-latter",
      "cell_type": "code",
      "source": "from torch import nn",
      "execution_count": 15,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "regulated-revision",
      "cell_type": "markdown",
      "source": "From the existing classifier, we can get the number of input features:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "moving-fitting",
      "cell_type": "code",
      "source": "num_in_features = model.get_classifier().in_features; num_in_features",
      "execution_count": 16,
      "outputs": [
        {
          "data": {
            "text/plain": "4096"
          },
          "execution_count": 16,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "affected-respect",
      "cell_type": "markdown",
      "source": "Now, we can replace the final layer with our modified classification head by accessing the classifier directly. Here, the classfication head has been chosen somewhat arbitrarily."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "silent-hacker",
      "cell_type": "code",
      "source": "model.fc = nn.Sequential(\n    nn.BatchNorm1d(num_in_features),\n    nn.Linear(in_features=num_in_features, out_features=512, bias=False),\n    nn.ReLU(),\n    nn.BatchNorm1d(512),\n    nn.Dropout(0.4),\n    nn.Linear(in_features=512, out_features=10, bias=False))",
      "execution_count": 22,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "mechanical-mercury",
      "cell_type": "markdown",
      "source": "Testing the model with a dummy input, we get an output of the expected shape. Now, our modified model is ready to train!"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "short-speed",
      "cell_type": "code",
      "source": "model.eval()\nmodel(torch.randn(1, 3, 224, 224)).shape",
      "execution_count": 17,
      "outputs": [
        {
          "data": {
            "text/plain": "torch.Size([1, 10])"
          },
          "execution_count": 17,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "heated-amazon",
      "cell_type": "markdown",
      "source": "## Feature Extraction <a class=\"anchor\" id=\"feature-extraction\"></a>"
    },
    {
      "metadata": {},
      "id": "adjustable-tomato",
      "cell_type": "markdown",
      "source": "timm models also have consistent mechanisms for obtaining various types of intermediate features, which can be useful in order to use an architecture as a feature extractor for a downstream task; such as creating [feature pyramids in object detection](https://ieeexplore.ieee.org/document/8099589).\n\nLet's visualise how this works by using an image from the [Oxford pets dataset](https://www.robots.ox.ac.uk/~vgg/data/pets/)."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "pleasant-savings",
      "cell_type": "code",
      "source": "from PIL import Image\nimport numpy as np",
      "execution_count": 25,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "regulation-theater",
      "cell_type": "code",
      "source": "image = Image.open(pets_image_paths[1])",
      "execution_count": 26,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "colonial-perth",
      "cell_type": "code",
      "source": "image",
      "execution_count": 27,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=500x281 at 0x7F75983A3B50>"
          },
          "execution_count": 27,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "fitted-shock",
      "cell_type": "markdown",
      "source": "We can convert this into a tensor, and transpose the channels into the format that PyTorch expects:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "compliant-defeat",
      "cell_type": "code",
      "source": "image = torch.as_tensor(np.array(image, dtype=np.float32)).transpose(2, 0)[None]",
      "execution_count": 28,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "celtic-knock",
      "cell_type": "markdown",
      "source": "Once again, let's create our ResNet-D model:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "wired-assignment",
      "cell_type": "code",
      "source": "model = timm.create_model('resnet50d', pretrained=True)",
      "execution_count": 29,
      "outputs": []
    },
    {
      "metadata": {
        "scrolled": true,
        "trusted": false
      },
      "id": "needed-likelihood",
      "cell_type": "code",
      "source": "model.default_cfg",
      "execution_count": 30,
      "outputs": [
        {
          "data": {
            "text/plain": "{'url': 'https://github.com/rwightman/pytorch-image-models/releases/download/v0.1-weights/resnet50d_ra2-464e36ba.pth',\n 'num_classes': 1000,\n 'input_size': (3, 224, 224),\n 'pool_size': (7, 7),\n 'crop_pct': 0.875,\n 'interpolation': 'bicubic',\n 'mean': (0.485, 0.456, 0.406),\n 'std': (0.229, 0.224, 0.225),\n 'first_conv': 'conv1.0',\n 'classifier': 'fc',\n 'architecture': 'resnet50d'}"
          },
          "execution_count": 30,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "difficult-framing",
      "cell_type": "markdown",
      "source": "If we are only interested in the final feature map - that is the output of the final convolutional layer prior to pooling in this case - we can use the `forward_features` method to bypass the global pooling and classification layers."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "auburn-disposition",
      "cell_type": "code",
      "source": "import matplotlib.pyplot as plt",
      "execution_count": 34,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "radio-force",
      "cell_type": "code",
      "source": "feature_output = model.forward_features(image)",
      "execution_count": 31,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "consecutive-ultimate",
      "cell_type": "markdown",
      "source": "We can visualise this below:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "suspended-income",
      "cell_type": "code",
      "source": "def visualise_feature_output(t):\n    plt.imshow(feature_output[0].transpose(0, 2).sum(-1).detach().numpy())\n    plt.show()",
      "execution_count": 35,
      "outputs": []
    },
    {
      "metadata": {
        "scrolled": true,
        "trusted": false
      },
      "id": "returning-pathology",
      "cell_type": "code",
      "source": "visualise_feature_output(feature_output)",
      "execution_count": 36,
      "outputs": [
        {
          "data": {
            "image/png": "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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ]
    },
    {
      "metadata": {},
      "id": "underlying-poster",
      "cell_type": "markdown",
      "source": "### Multiple feature outputs"
    },
    {
      "metadata": {},
      "id": "regular-termination",
      "cell_type": "markdown",
      "source": "Whilst the forward features method can be convenient for retrieving the final feature map, timm also provides functionality which enables us to use models as feature backbones that output feature maps for selected levels.\n\nWe can specify that we would like to use a model as a feature backbone by using the argument `features_only=True` when creating a model. By default, 5 strides will be output from most models (not all have that many), with the first starting at 2 (some start at 1 or 4).\n\nThe indices of the feature levels, and number of strides can be modified using the `out_indices` and `output_stride` arguments, as [demonstrated in the docs](https://rwightman.github.io/pytorch-image-models/feature_extraction/#multi-scale-feature-maps-feature-pyramid)\n\nLet's see how this works with our ResNet-D model."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "damaged-lease",
      "cell_type": "code",
      "source": "model = timm.create_model('resnet50d', pretrained=True, features_only=True)",
      "execution_count": 3,
      "outputs": []
    },
    {
      "metadata": {},
      "id": "adapted-medicine",
      "cell_type": "markdown",
      "source": "As demonstrated below, we can get more information about the features that are returned, such as the specific module names, the reduction in features and the number of channels:"
    },
    {
      "metadata": {
        "scrolled": true,
        "trusted": false
      },
      "id": "civilian-thesis",
      "cell_type": "code",
      "source": "model.feature_info.module_name()",
      "execution_count": 38,
      "outputs": [
        {
          "data": {
            "text/plain": "['act1', 'layer1', 'layer2', 'layer3', 'layer4']"
          },
          "execution_count": 38,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "indie-portfolio",
      "cell_type": "code",
      "source": "model.feature_info.reduction()",
      "execution_count": 39,
      "outputs": [
        {
          "data": {
            "text/plain": "[2, 4, 8, 16, 32]"
          },
          "execution_count": 39,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "convinced-handling",
      "cell_type": "code",
      "source": "model.feature_info.channels()",
      "execution_count": 40,
      "outputs": [
        {
          "data": {
            "text/plain": "[64, 256, 512, 1024, 2048]"
          },
          "execution_count": 40,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "structured-lightning",
      "cell_type": "markdown",
      "source": "Now, lets pass an image through our feature extractor and explore the output."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "metric-porter",
      "cell_type": "code",
      "source": "out = model(image)",
      "execution_count": 41,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "continuing-falls",
      "cell_type": "code",
      "source": "len(out)",
      "execution_count": 42,
      "outputs": [
        {
          "data": {
            "text/plain": "5"
          },
          "execution_count": 42,
          "metadata": {},
          "output_type": "execute_result"
        }
      ]
    },
    {
      "metadata": {},
      "id": "wanted-radical",
      "cell_type": "markdown",
      "source": "As expected, 5 feature maps have been returned. Inspecting the shape, we can see that the number of channels is consistent with what we expect:"
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "covered-dragon",
      "cell_type": "code",
      "source": "for o in out:\n    print(o.shape)",
      "execution_count": 43,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "torch.Size([1, 64, 250, 141])\ntorch.Size([1, 256, 125, 71])\ntorch.Size([1, 512, 63, 36])\ntorch.Size([1, 1024, 32, 18])\ntorch.Size([1, 2048, 16, 9])\n"
        }
      ]
    },
    {
      "metadata": {},
      "id": "about-bronze",
      "cell_type": "markdown",
      "source": "Visualising each feature map, we can see that the image is gradually downsampled, as we would expect."
    },
    {
      "metadata": {
        "trusted": false
      },
      "id": "considerable-dimension",
      "cell_type": "code",
      "source": "for o in out:\n    plt.imshow(o[0].transpose(0, 2).sum(-1).detach().numpy())\n    plt.show()",
      "execution_count": 44,
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 432x288 with 1 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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