Migrations
/
pytorch-image-models
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity
You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from 'da8447c4ae'
${ noResults }
pytorch-image-models/changes/index.html

722 lines
24 KiB
Raw Blame History

<!doctype html>
<html lang="en" class="no-js">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width,initial-scale=1">
<meta name="description" content="Pretained Image Recognition Models">
<link rel="shortcut icon" href="../assets/images/favicon.png">
<meta name="generator" content="mkdocs-1.1.2, mkdocs-material-5.4.0">
<title>Recent Changes - Pytorch Image Models</title>
<link rel="stylesheet" href="../assets/stylesheets/main.fe0cca5b.min.css">
<link href="https://fonts.gstatic.com" rel="preconnect" crossorigin>
<link rel="stylesheet" href="https://fonts.googleapis.com/css?family=Roboto:300,400,400i,700%7CRoboto+Mono&display=fallback">
<style>body,input{font-family:"Roboto",-apple-system,BlinkMacSystemFont,Helvetica,Arial,sans-serif}code,kbd,pre{font-family:"Roboto Mono",SFMono-Regular,Consolas,Menlo,monospace}</style>
</head>
<body dir="ltr">
<input class="md-toggle" data-md-toggle="drawer" type="checkbox" id="__drawer" autocomplete="off">
<input class="md-toggle" data-md-toggle="search" type="checkbox" id="__search" autocomplete="off">
<label class="md-overlay" for="__drawer"></label>
<div data-md-component="skip">
<a href="#recent-changes" class="md-skip">
Skip to content
</a>
</div>
<div data-md-component="announce">
</div>
<header class="md-header" data-md-component="header">
<nav class="md-header-nav md-grid" aria-label="Header">
<a href=".." title="Pytorch Image Models" class="md-header-nav__button md-logo" aria-label="Pytorch Image Models">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 003-3 3 3 0 00-3-3 3 3 0 00-3 3 3 3 0 003 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54z"/></svg>
</a>
<label class="md-header-nav__button md-icon" for="__drawer">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 6h18v2H3V6m0 5h18v2H3v-2m0 5h18v2H3v-2z"/></svg>
</label>
<div class="md-header-nav__title" data-md-component="header-title">
<div class="md-header-nav__ellipsis">
<span class="md-header-nav__topic md-ellipsis">
Pytorch Image Models
</span>
<span class="md-header-nav__topic md-ellipsis">
Recent Changes
</span>
</div>
</div>
<label class="md-header-nav__button md-icon" for="__search">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0116 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 019.5 16 6.5 6.5 0 013 9.5 6.5 6.5 0 019.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5z"/></svg>
</label>
<div class="md-search" data-md-component="search" role="dialog">
<label class="md-search__overlay" for="__search"></label>
<div class="md-search__inner" role="search">
<form class="md-search__form" name="search">
<input type="text" class="md-search__input" name="query" aria-label="Search" placeholder="Search" autocapitalize="off" autocorrect="off" autocomplete="off" spellcheck="false" data-md-component="search-query" data-md-state="active">
<label class="md-search__icon md-icon" for="__search">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M9.5 3A6.5 6.5 0 0116 9.5c0 1.61-.59 3.09-1.56 4.23l.27.27h.79l5 5-1.5 1.5-5-5v-.79l-.27-.27A6.516 6.516 0 019.5 16 6.5 6.5 0 013 9.5 6.5 6.5 0 019.5 3m0 2C7 5 5 7 5 9.5S7 14 9.5 14 14 12 14 9.5 12 5 9.5 5z"/></svg>
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12z"/></svg>
</label>
<button type="reset" class="md-search__icon md-icon" aria-label="Clear" data-md-component="search-reset" tabindex="-1">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M19 6.41L17.59 5 12 10.59 6.41 5 5 6.41 10.59 12 5 17.59 6.41 19 12 13.41 17.59 19 19 17.59 13.41 12 19 6.41z"/></svg>
</button>
</form>
<div class="md-search__output">
<div class="md-search__scrollwrap" data-md-scrollfix>
<div class="md-search-result" data-md-component="search-result">
<div class="md-search-result__meta">
Initializing search
</div>
<ol class="md-search-result__list"></ol>
</div>
</div>
</div>
</div>
</div>
<div class="md-header-nav__source">
<a href="https://github.com/rwightman/pytorch-image-models/" title="Go to repository" class="md-source">
<div class="md-source__icon md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path d="M439.55 236.05L244 40.45a28.87 28.87 0 00-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 01-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 000 40.81l195.61 195.6a28.86 28.86 0 0040.8 0l194.69-194.69a28.86 28.86 0 000-40.81z"/></svg>
</div>
<div class="md-source__repository">
rwightman/pytorch-image-models
</div>
</a>
</div>
</nav>
</header>
<div class="md-container" data-md-component="container">
<main class="md-main" data-md-component="main">
<div class="md-main__inner md-grid">
<div class="md-sidebar md-sidebar--primary" data-md-component="navigation">
<div class="md-sidebar__scrollwrap">
<div class="md-sidebar__inner">
<nav class="md-nav md-nav--primary" aria-label="Navigation" data-md-level="0">
<label class="md-nav__title" for="__drawer">
<a href=".." title="Pytorch Image Models" class="md-nav__button md-logo" aria-label="Pytorch Image Models">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M12 8a3 3 0 003-3 3 3 0 00-3-3 3 3 0 00-3 3 3 3 0 003 3m0 3.54C9.64 9.35 6.5 8 3 8v11c3.5 0 6.64 1.35 9 3.54 2.36-2.19 5.5-3.54 9-3.54V8c-3.5 0-6.64 1.35-9 3.54z"/></svg>
</a>
Pytorch Image Models
</label>
<div class="md-nav__source">
<a href="https://github.com/rwightman/pytorch-image-models/" title="Go to repository" class="md-source">
<div class="md-source__icon md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 448 512"><path d="M439.55 236.05L244 40.45a28.87 28.87 0 00-40.81 0l-40.66 40.63 51.52 51.52c27.06-9.14 52.68 16.77 43.39 43.68l49.66 49.66c34.23-11.8 61.18 31 35.47 56.69-26.49 26.49-70.21-2.87-56-37.34L240.22 199v121.85c25.3 12.54 22.26 41.85 9.08 55a34.34 34.34 0 01-48.55 0c-17.57-17.6-11.07-46.91 11.25-56v-123c-20.8-8.51-24.6-30.74-18.64-45L142.57 101 8.45 235.14a28.86 28.86 0 000 40.81l195.61 195.6a28.86 28.86 0 0040.8 0l194.69-194.69a28.86 28.86 0 000-40.81z"/></svg>
</div>
<div class="md-source__repository">
rwightman/pytorch-image-models
</div>
</a>
</div>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href=".." title="Getting Started" class="md-nav__link">
Getting Started
</a>
</li>
<li class="md-nav__item">
<a href="../models/" title="Model Architectures" class="md-nav__link">
Model Architectures
</a>
</li>
<li class="md-nav__item">
<a href="../results/" title="Results" class="md-nav__link">
Results
</a>
</li>
<li class="md-nav__item">
<a href="../scripts/" title="Scripts" class="md-nav__link">
Scripts
</a>
</li>
<li class="md-nav__item">
<a href="../training_hparam_examples/" title="Training Examples" class="md-nav__link">
Training Examples
</a>
</li>
<li class="md-nav__item">
<a href="../feature_extraction/" title="Feature Extraction" class="md-nav__link">
Feature Extraction
</a>
</li>
<li class="md-nav__item md-nav__item--active">
<input class="md-nav__toggle md-toggle" data-md-toggle="toc" type="checkbox" id="__toc">
<label class="md-nav__link md-nav__link--active" for="__toc">
Recent Changes
<span class="md-nav__icon md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M3 9h14V7H3v2m0 4h14v-2H3v2m0 4h14v-2H3v2m16 0h2v-2h-2v2m0-10v2h2V7h-2m0 6h2v-2h-2v2z"/></svg>
</span>
</label>
<a href="./" title="Recent Changes" class="md-nav__link md-nav__link--active">
Recent Changes
</a>
<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
<label class="md-nav__title" for="__toc">
<span class="md-nav__icon md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12z"/></svg>
</span>
Table of contents
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="#oct-30-2020" class="md-nav__link">
Oct 30, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#oct-26-2020" class="md-nav__link">
Oct 26, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#oct-21-2020" class="md-nav__link">
Oct 21, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#oct-13-2020" class="md-nav__link">
Oct 13, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#sept-18-2020" class="md-nav__link">
Sept 18, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#sept-3-2020" class="md-nav__link">
Sept 3, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#aug-12-2020" class="md-nav__link">
Aug 12, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#aug-5-2020" class="md-nav__link">
Aug 5, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#june-11-2020" class="md-nav__link">
June 11, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#may-12-2020" class="md-nav__link">
May 12, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#may-3-2020" class="md-nav__link">
May 3, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#may-1-2020" class="md-nav__link">
May 1, 2020
</a>
</li>
</ul>
</nav>
</li>
<li class="md-nav__item">
<a href="../archived_changes/" title="Archived Changes" class="md-nav__link">
Archived Changes
</a>
</li>
</ul>
</nav>
</div>
</div>
</div>
<div class="md-sidebar md-sidebar--secondary" data-md-component="toc">
<div class="md-sidebar__scrollwrap">
<div class="md-sidebar__inner">
<nav class="md-nav md-nav--secondary" aria-label="Table of contents">
<label class="md-nav__title" for="__toc">
<span class="md-nav__icon md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12z"/></svg>
</span>
Table of contents
</label>
<ul class="md-nav__list" data-md-scrollfix>
<li class="md-nav__item">
<a href="#oct-30-2020" class="md-nav__link">
Oct 30, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#oct-26-2020" class="md-nav__link">
Oct 26, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#oct-21-2020" class="md-nav__link">
Oct 21, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#oct-13-2020" class="md-nav__link">
Oct 13, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#sept-18-2020" class="md-nav__link">
Sept 18, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#sept-3-2020" class="md-nav__link">
Sept 3, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#aug-12-2020" class="md-nav__link">
Aug 12, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#aug-5-2020" class="md-nav__link">
Aug 5, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#june-11-2020" class="md-nav__link">
June 11, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#may-12-2020" class="md-nav__link">
May 12, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#may-3-2020" class="md-nav__link">
May 3, 2020
</a>
</li>
<li class="md-nav__item">
<a href="#may-1-2020" class="md-nav__link">
May 1, 2020
</a>
</li>
</ul>
</nav>
</div>
</div>
</div>
<div class="md-content">
<article class="md-content__inner md-typeset">
<a href="https://github.com/rwightman/pytorch-image-models/edit/master/docs/changes.md" title="Edit this page" class="md-content__button md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z"/></svg>
</a>
<h1 id="recent-changes">Recent Changes</h1>
<h3 id="oct-30-2020">Oct 30, 2020</h3>
<ul>
<li>Test with PyTorch 1.7 and fix a small top-n metric view vs reshape issue.</li>
<li>Convert newly added 224x224 Vision Transformer weights from official JAX repo. 81.8 top-1 for B/16, 83.1 L/16.</li>
<li>Support PyTorch 1.7 optimized, native SiLU (aka Swish) activation. Add mapping to 'silu' name, custom swish will eventually be deprecated.</li>
<li>Fix regression for loading pretrained classifier via direct model entrypoint functions. Didn't impact create_model() factory usage.</li>
<li>PyPi release @ 0.3.0 version!</li>
</ul>
<h3 id="oct-26-2020">Oct 26, 2020</h3>
<ul>
<li>Update Vision Transformer models to be compatible with official code release at <a href="https://github.com/google-research/vision_transformer">https://github.com/google-research/vision_transformer</a></li>
<li>Add Vision Transformer weights (ImageNet-21k pretrain) for 384x384 base and large models converted from official jax impl<ul>
<li>ViT-B/16 - 84.2</li>
<li>ViT-B/32 - 81.7</li>
<li>ViT-L/16 - 85.2</li>
<li>ViT-L/32 - 81.5</li>
</ul>
</li>
</ul>
<h3 id="oct-21-2020">Oct 21, 2020</h3>
<ul>
<li>Weights added for Vision Transformer (ViT) models. 77.86 top-1 for 'small' and 79.35 for 'base'. Thanks to <a href="https://www.kaggle.com/christofhenkel">Christof</a> for training the base model w/ lots of GPUs.</li>
</ul>
<h3 id="oct-13-2020">Oct 13, 2020</h3>
<ul>
<li>Initial impl of Vision Transformer models. Both patch and hybrid (CNN backbone) variants. Currently trying to train...</li>
<li>Adafactor and AdaHessian (FP32 only, no AMP) optimizers</li>
<li>EdgeTPU-M (<code>efficientnet_em</code>) model trained in PyTorch, 79.3 top-1</li>
<li>Pip release, doc updates pending a few more changes...</li>
</ul>
<h3 id="sept-18-2020">Sept 18, 2020</h3>
<ul>
<li>New ResNet 'D' weights. 72.7 (top-1) ResNet-18-D, 77.1 ResNet-34-D, 80.5 ResNet-50-D</li>
<li>Added a few untrained defs for other ResNet models (66D, 101D, 152D, 200/200D)</li>
</ul>
<h3 id="sept-3-2020">Sept 3, 2020</h3>
<ul>
<li>New weights<ul>
<li>Wide-ResNet50 - 81.5 top-1 (vs 78.5 torchvision)</li>
<li>SEResNeXt50-32x4d - 81.3 top-1 (vs 79.1 cadene)</li>
</ul>
</li>
<li>Support for native Torch AMP and channels_last memory format added to train/validate scripts (<code>--channels-last</code>, <code>--native-amp</code> vs <code>--apex-amp</code>)</li>
<li>Models tested with channels_last on latest NGC 20.08 container. AdaptiveAvgPool in attn layers changed to mean((2,3)) to work around bug with NHWC kernel.</li>
</ul>
<h3 id="aug-12-2020">Aug 12, 2020</h3>
<ul>
<li>New/updated weights from training experiments<ul>
<li>EfficientNet-B3 - 82.1 top-1 (vs 81.6 for official with AA and 81.9 for AdvProp)</li>
<li>RegNetY-3.2GF - 82.0 top-1 (78.9 from official ver)</li>
<li>CSPResNet50 - 79.6 top-1 (76.6 from official ver)</li>
</ul>
</li>
<li>Add CutMix integrated w/ Mixup. See <a href="https://github.com/rwightman/pytorch-image-models/pull/218">pull request</a> for some usage examples</li>
<li>Some fixes for using pretrained weights with <code>in_chans</code> != 3 on several models.</li>
</ul>
<h3 id="aug-5-2020">Aug 5, 2020</h3>
<p>Universal feature extraction, new models, new weights, new test sets.</p>
<ul>
<li>All models support the <code>features_only=True</code> argument for <code>create_model</code> call to return a network that extracts features from the deepest layer at each stride.</li>
<li>New models<ul>
<li>CSPResNet, CSPResNeXt, CSPDarkNet, DarkNet</li>
<li>ReXNet</li>
<li>(Modified Aligned) Xception41/65/71 (a proper port of TF models)</li>
</ul>
</li>
<li>New trained weights<ul>
<li>SEResNet50 - 80.3 top-1</li>
<li>CSPDarkNet53 - 80.1 top-1</li>
<li>CSPResNeXt50 - 80.0 top-1</li>
<li>DPN68b - 79.2 top-1</li>
<li>EfficientNet-Lite0 (non-TF ver) - 75.5 (submitted by <a href="https://github.com/hal-314">@hal-314</a>)</li>
</ul>
</li>
<li>Add 'real' labels for ImageNet and ImageNet-Renditions test set, see <a href="results/README.md"><code>results/README.md</code></a></li>
<li>Test set ranking/top-n diff script by <a href="https://github.com/KushajveerSingh">@KushajveerSingh</a></li>
<li>Train script and loader/transform tweaks to punch through more aug arguments</li>
<li>README and documentation overhaul. See initial (WIP) documentation at <a href="https://rwightman.github.io/pytorch-image-models/">https://rwightman.github.io/pytorch-image-models/</a></li>
<li>adamp and sgdp optimizers added by <a href="https://github.com/hellbell">@hellbell</a></li>
</ul>
<h3 id="june-11-2020">June 11, 2020</h3>
<p>Bunch of changes:</p>
<ul>
<li>DenseNet models updated with memory efficient addition from torchvision (fixed a bug), blur pooling and deep stem additions</li>
<li>VoVNet V1 and V2 models added, 39 V2 variant (ese_vovnet_39b) trained to 79.3 top-1</li>
<li>Activation factory added along with new activations:<ul>
<li>select act at model creation time for more flexibility in using activations compatible with scripting or tracing (ONNX export)</li>
<li>hard_mish (experimental) added with memory-efficient grad, along with ME hard_swish</li>
<li>context mgr for setting exportable/scriptable/no_jit states</li>
</ul>
</li>
<li>Norm + Activation combo layers added with initial trial support in DenseNet and VoVNet along with impl of EvoNorm and InplaceAbn wrapper that fit the interface</li>
<li>Torchscript works for all but two of the model types as long as using Pytorch 1.5+, tests added for this</li>
<li>Some import cleanup and classifier reset changes, all models will have classifier reset to nn.Identity on reset_classifer(0) call</li>
<li>Prep for 0.1.28 pip release</li>
</ul>
<h3 id="may-12-2020">May 12, 2020</h3>
<ul>
<li>Add ResNeSt models (code adapted from <a href="https://github.com/zhanghang1989/ResNeSt">https://github.com/zhanghang1989/ResNeSt</a>, paper <a href="https://arxiv.org/abs/2004.08955">https://arxiv.org/abs/2004.08955</a>))</li>
</ul>
<h3 id="may-3-2020">May 3, 2020</h3>
<ul>
<li>Pruned EfficientNet B1, B2, and B3 (<a href="https://arxiv.org/abs/2002.08258">https://arxiv.org/abs/2002.08258</a>) contributed by <a href="https://github.com/yoniaflalo">Yonathan Aflalo</a></li>
</ul>
<h3 id="may-1-2020">May 1, 2020</h3>
<ul>
<li>Merged a number of execellent contributions in the ResNet model family over the past month<ul>
<li>BlurPool2D and resnetblur models initiated by <a href="https://github.com/VRandme">Chris Ha</a>, I trained resnetblur50 to 79.3.</li>
<li>TResNet models and SpaceToDepth, AntiAliasDownsampleLayer layers by <a href="https://github.com/mrT23">mrT23</a></li>
<li>ecaresnet (50d, 101d, light) models and two pruned variants using pruning as per (<a href="https://arxiv.org/abs/2002.08258">https://arxiv.org/abs/2002.08258</a>) by <a href="https://github.com/yoniaflalo">Yonathan Aflalo</a></li>
</ul>
</li>
<li>200 pretrained models in total now with updated results csv in results folder</li>
</ul>
</article>
</div>
</div>
</main>
<footer class="md-footer">
<div class="md-footer-nav">
<nav class="md-footer-nav__inner md-grid" aria-label="Footer">
<a href="../feature_extraction/" title="Feature Extraction" class="md-footer-nav__link md-footer-nav__link--prev" rel="prev">
<div class="md-footer-nav__button md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M20 11v2H8l5.5 5.5-1.42 1.42L4.16 12l7.92-7.92L13.5 5.5 8 11h12z"/></svg>
</div>
<div class="md-footer-nav__title">
<div class="md-ellipsis">
<span class="md-footer-nav__direction">
Previous
</span>
Feature Extraction
</div>
</div>
</a>
<a href="../archived_changes/" title="Archived Changes" class="md-footer-nav__link md-footer-nav__link--next" rel="next">
<div class="md-footer-nav__title">
<div class="md-ellipsis">
<span class="md-footer-nav__direction">
Next
</span>
Archived Changes
</div>
</div>
<div class="md-footer-nav__button md-icon">
<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24"><path d="M4 11v2h12l-5.5 5.5 1.42 1.42L19.84 12l-7.92-7.92L10.5 5.5 16 11H4z"/></svg>
</div>
</a>
</nav>
</div>
<div class="md-footer-meta md-typeset">
<div class="md-footer-meta__inner md-grid">
<div class="md-footer-copyright">
Made with
<a href="https://squidfunk.github.io/mkdocs-material/" target="_blank" rel="noopener">
Material for MkDocs
</a>
</div>
</div>
</div>
</footer>
</div>
<script src="../assets/javascripts/vendor.d710d30a.min.js"></script>
<script src="../assets/javascripts/bundle.b39636ac.min.js"></script><script id="__lang" type="application/json">{"clipboard.copy": "Copy to clipboard", "clipboard.copied": "Copied to clipboard", "search.config.lang": "en", "search.config.pipeline": "trimmer, stopWordFilter", "search.config.separator": "[\\s\\-]+", "search.result.placeholder": "Type to start searching", "search.result.none": "No matching documents", "search.result.one": "1 matching document", "search.result.other": "# matching documents"}</script>
<script>
app = initialize({
base: "..",
features: [],
search: Object.assign({
worker: "../assets/javascripts/worker/search.a68abb33.min.js"
}, typeof search !== "undefined" && search)
})
</script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.0/MathJax.js?config=TeX-MML-AM_CHTML"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/tablesort/5.2.1/tablesort.min.js"></script>
<script src="../javascripts/tables.js"></script>
</body>
</html>
Reference in new issue View Git Blame Copy Permalink