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model_zoo/scripts/vaitrace.sh diff --git a/.gitignore b/.gitignore new file mode 100755 index 000000000..91b0961f7 --- /dev/null +++ b/.gitignore @@ -0,0 +1,15 @@ +# MacOS temporary files +.DS_Store + +# Temporary file generated after docker_run +.confirm + +# IntelliJ IDEA files +.idea + +# Artifact folders in the Model Zoo +model_zoo/models/*/*/artifacts + + +/docs/ +/docsrc/build/ diff --git a/docker_run.sh b/docker_run.sh index 54108a97e..681c8adb4 100755 --- a/docker_run.sh +++ b/docker_run.sh @@ -77,6 +77,7 @@ docker_run_params=$(cat <<-END -v /opt/xilinx/dsa:/opt/xilinx/dsa \ -v /opt/xilinx/overlaybins:/opt/xilinx/overlaybins \ -e USER=$user -e UID=$uid -e GID=$gid \ + -v /sys/kernel/debug:/sys/kernel/debug --privileged=true \ -v $DOCKER_RUN_DIR:/vitis_ai_home \ -v $HERE:/workspace \ -w /workspace \ diff --git a/docs/_sources/index.rst.txt b/docs/_sources/index.rst.txt index 4c89d402c..36b802d41 100644 --- a/docs/_sources/index.rst.txt +++ b/docs/_sources/index.rst.txt @@ -1,5 +1,5 @@ .. - Copyright 2023 Advanced Micro Devices, Inc. + Copyright 2022 Xilinx Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. @@ -18,146 +18,114 @@ Vitis AI ############################################################ -AMD Vitis™ AI is an integrated development environment that can be leveraged to accelerate AI inference on AMD platforms. This toolchain provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on AMD Adaptable SoCs and Alveo Data Center accelerator cards. +Xilinx® Vitis™ AI is an integrated development environment that can be leveraged to accelerate AI inference on Xilinx platforms. This toolchain provides optimized IP, tools, libraries, models, as well as resources, such as example designs and tutorials that aid the user throughout the development process. It is designed with high efficiency and ease-of-use in mind, unleashing the full potential of AI acceleration on Xilinx SoCs and Alveo™ Data Center accelerator cards. .. figure:: docs/reference/images/VAI_IDE.png :width: 1300 Vitis AI Integrated Development Environment Block Diagram -The Vitis |trade| AI solution consists of three primary components: - -- The Deep-Learning Processor unit (DPU), a hardware engine for optimized the inferencing of ML models -- Model development tools, to compile and optimize ML models for the DPU -- Model deployment libraries and APIs, to integrate and execute the ML models on the DPU engine from a SW application - -The Vitis AI solution is packaged and delivered as follows: - -- AMD open download: pre-built target images integrating the DPU -- Vitis AI docker containers: model development tools -- Vitis AI github repository: model deployment libraries, setup scripts, examples and reference designs - ############################################################ Vitis AI Key Components ############################################################ -**************************** -Deep-Learning Processor Unit -**************************** - -The :ref:`Deep-learning Processor Unit (DPU) ` is a programmable engine optimized for deep neural networks. The DPU implements an efficient tensor-level instruction set designed to support and accelerate various popular convolutional neural networks, such as VGG, ResNet, GoogLeNet, YOLO, SSD, and MobileNet, among others. - -The DPU supports on AMD Zynq |trade| UltraScale+ |trade| MPSoCs, the Kria |trade| KV260, Versal |trade| and Alveo cards. It scales to meet the requirements of many diverse applications in terms of throughput, latency, scalability, and power. - -AMD provides pre-built platforms integrating the DPU engine for both edge and data-center cards. These pre-built platforms allow data-scientists to start developping and testing their models without any need for HW development expertise. - -For embedded applications, the DPU needs to be integrated in a custom platform along with the other programmable logic functions going in the FPGA or adaptive SoC device. HW designers can :ref:`integrate the DPU in a custom platform ` using either the Vitis flow or the Vivado |trade| Design Suite. - - -***************** -Model Development -***************** - -Vitis AI Model Zoo -================== -The :ref:`Vitis AI Model Zoo ` includes optimized deep learning models to speed up the deployment of deep learning inference on adaptable AMD platforms. These models cover different applications, including ADAS/AD, video surveillance, robotics, and data center. You can get started with these pre-trained models to enjoy the benefits of deep learning acceleration. - -Vitis AI Model Inspector -======================== -The :ref:`Vitis AI Model Inspector ` is used to perform initial sanity checks to confirm that the operators and sequence of operators in the graph is compatible with Vitis AI. Novel neural network architectures, operators, and activation types are constantly being developed and optimized for prediction accuracy and performance. Vitis AI provides mechanisms to leverage operators that are not natively supported by your specific DPU target. +Vitis AI is composed of the following key components: -Vitis AI Optimizer -================== -The :ref:`Vitis AI Optimizer ` exploits the notion of sparsity to reduce the overall computational complexity for inference by 5x to 50x with minimal accuracy degradation. Many deep neural network topologies employ significant levels of redundancy. This is particularly true when the network backbone is optimized for prediction accuracy with training datasets supporting many classes. In many cases, this redundancy can be reduced by “pruning” some of the operations out of the graph. -Vitis AI Quantizer -================== -The :ref:`Vitis AI Quantizer `, integrated as a component of either TensorFlow or PyTorch, converts 32-bit floating-point weights and activations to fixed-point integers like INT8 to reduce the computing complexity without losing prediction accuracy. The fixed-point network model requires less memory bandwidth and provides faster speed and higher power efficiency than the floating-point model. +* **DPUs** - Configurable computation engines optimized for convolution neural networks. Efficient and scalable IP cores that can be customized to meet the needs of many different applications and devices. +* **Model Zoo** - A comprehensive set of pre-trained and pre-optimized models that are ready to deploy on Xilinx devices. +* **Model Inspector** - A tool and methodology through which developers can verify model architecture support. +* **Optimizer** - An optional, commercially licensed tool that enables users to prune a model by up to 90%. +* **Quantizer** - A powerful quantizer that supports model quantization, calibration, and fine tuning. +* **Compiler** - Compiles the quantized model for execution on the target DPU accelerator. +* **Runtime (VART)** - An inference runtime for Embedded applications. +* **Profiler** - Performs an in-depth analysis of the efficiency and utilization of AI inference implementations on the DPU. +* **Library** - Offers high-level C++ APIs for AI applications for embedded and data center use-cases. -Vitis AI Compiler -================= -The :ref:`Vitis AI Compiler ` maps the AI quantized model to a highly-efficient instruction set and dataflow model. The compiler performs multiple optimizations; for example, batch normalization operations are fused with convolution when the convolution operator precedes the normalization operator. As the DPU supports multiple dimensions of parallelism, efficient instruction scheduling is key to exploiting the inherent parallelism and potential for data reuse in the graph. The Vitis AI Compiler addresses such optimizations. +.. toctree:: + :maxdepth: 3 + :caption: Vitis AI Introduction + :hidden: -**************** -Model Deployment -**************** + Overview -Vitis AI Runtime -================ -The :ref:`Vitis AI Runtime ` (VART) is a set of low-level API functions that support the integration of the DPU into software applications. VART is built on top of the Xilinx Runtime (XRT) amd provides a unified high-level runtime for both Data Center and Embedded targets. Key features of the Vitis AI Runtime API include: +.. toctree:: + :maxdepth: 3 + :caption: Release Notes + :hidden: -- Asynchronous submission of jobs to the DPU. -- Asynchronous collection of jobs from the DPU. -- C++ and Python API implementations. -- Support for multi-threading and multi-process execution. + Current Release +.. toctree:: + :maxdepth: 3 + :caption: Installation + :hidden: -Vitis AI Library -================ -The :ref:`Vitis AI Library ` is a set of high-level libraries and APIs built on top of the Vitis AI Runtime (VART). The higher-level APIs included in the Vitis AI Library give developers a head-start on model deployment. While it is possible for developers to directly leverage the Vitis AI Runtime APIs to deploy a model on AMD platforms, it is often more beneficial to start with a ready-made example that incorporates the various elements of a typical application, including: + System Requirements + Host Install Instructions + Target Setup Instructions -- Simplified CPU-based pre and post-processing implementations. -- Vitis AI Runtime integration at an application level. +.. toctree:: + :maxdepth: 3 + :caption: Model Zoo + :hidden: + Pre-trained, Optimized Models + Getting started + Models overview -Vitis AI Profiler -================= -The :ref:`Vitis AI Profiler ` profiles and visualizes AI applications to find bottlenecks and allocates computing resources among different devices. It is easy to use and requires no code changes. It can trace function calls and run time, and also collect hardware information, including CPU, DPU, and memory utilization. +.. toctree:: + :maxdepth: 3 + :caption: Model Development + :hidden: + Developing a NN Model for Vitis AI +.. toctree:: + :maxdepth: 3 + :caption: Model Deployment + :hidden: + Deploying a NN Model with Vitis AI .. toctree:: :maxdepth: 3 - :caption: Setup and Install + :caption: System Integration :hidden: - - Release Notes - System Requirements - Host Install Instructions + + Integrating the DPU .. toctree:: :maxdepth: 3 - :caption: Quick Start Guides + :caption: Third-Party Tools :hidden: - Zynq™ Ultrascale+™ - Versal™ VCK5000 Development Card - Versal™ AI Core VCK190 - - + TVM, TensorFlow Lite, ONNX Runtime .. toctree:: :maxdepth: 3 - :caption: Workflow and Components + :caption: Release Documentation :hidden: - Overview - DPU IP Details and System Integration - Vitis™ AI Model Zoo - Developing a Model for Vitis AI - Deploying a Model with Vitis AI - + Formal Vitis AI Documents + .. toctree:: :maxdepth: 3 - :caption: Reference Designs + :caption: Vitis AI Tutorials :hidden: -.. Zynq MPSoC / Kria K26 -.. Versal / VCK190 + Vitis AI Developer Tutorials .. toctree:: :maxdepth: 3 - :caption: Additional Information + :caption: Related Solutions :hidden: - Vitis™ AI User Guides & IP Product Guides - Vitis™ AI Developer Tutorials - Third-party Inference Stack Integration - IP and Tools Compatibility - Frequently Asked Questions - Branching and Tagging Strategy + AMD Inference Server + Vitis Video Analytics SDK + FINN & Brevitas + DPU-PYNQ .. toctree:: :maxdepth: 3 @@ -165,22 +133,10 @@ The :ref:`Vitis AI Profiler ` profiles and visualizes AI appl :hidden: Resources and Support - + .. toctree:: :maxdepth: 3 - :caption: Related AMD Solutions + :caption: FAQ :hidden: - DPU-PYNQ - FINN & Brevitas - Inference Server - Unified Inference Frontend - Ryzen™ AI Developer Guide ~July 29 - Vitis™ AI ONNX Runtime Execution Provider - Vitis™ Video Analytics SDK - - -.. |trade| unicode:: U+02122 .. TRADEMARK SIGN - :ltrim: -.. |reg| unicode:: U+02122 .. TRADEMARK SIGN - :ltrim: \ No newline at end of file + Frequently Asked Questions diff --git a/docs/_static/basic.css b/docs/_static/basic.css index 088967717..bf18350b6 100644 --- a/docs/_static/basic.css +++ b/docs/_static/basic.css @@ -222,7 +222,7 @@ table.modindextable td { /* -- general body styles --------------------------------------------------- */ div.body { - min-width: 360px; + min-width: 450px; max-width: 800px; } @@ -237,6 +237,16 @@ a.headerlink { visibility: hidden; } +a.brackets:before, +span.brackets > a:before{ + content: "["; +} + +a.brackets:after, +span.brackets > a:after { + content: "]"; +} + h1:hover > a.headerlink, h2:hover > a.headerlink, h3:hover > a.headerlink, @@ -324,16 +334,12 @@ aside.sidebar { p.sidebar-title { font-weight: bold; } -nav.contents, -aside.topic, div.admonition, div.topic, blockquote { clear: left; } /* -- topics ---------------------------------------------------------------- */ -nav.contents, -aside.topic, div.topic { border: 1px solid #ccc; @@ -373,9 +379,6 @@ div.body p.centered { div.sidebar > :last-child, aside.sidebar > :last-child, -nav.contents > :last-child, -aside.topic > :last-child, - div.topic > :last-child, div.admonition > :last-child { margin-bottom: 0; @@ -383,9 +386,6 @@ div.admonition > :last-child { div.sidebar::after, aside.sidebar::after, -nav.contents::after, -aside.topic::after, - div.topic::after, div.admonition::after, blockquote::after { @@ -428,6 +428,10 @@ table.docutils td, table.docutils th { border-bottom: 1px solid #aaa; } +table.footnote td, table.footnote th { + border: 0 !important; +} + th { text-align: left; padding-right: 5px; @@ -611,7 +615,6 @@ ul.simple p { margin-bottom: 0; } -/* Docutils 0.17 and older (footnotes & citations) */ dl.footnote > dt, dl.citation > dt { float: left; @@ -629,33 +632,6 @@ dl.citation > dd:after { clear: both; } -/* Docutils 0.18+ (footnotes & citations) */ -aside.footnote > span, -div.citation > span { - float: left; -} -aside.footnote > span:last-of-type, -div.citation > span:last-of-type { - padding-right: 0.5em; -} -aside.footnote > p { - margin-left: 2em; -} -div.citation > p { - margin-left: 4em; -} -aside.footnote > p:last-of-type, -div.citation > p:last-of-type { - margin-bottom: 0em; -} -aside.footnote > p:last-of-type:after, -div.citation > p:last-of-type:after { - content: ""; - clear: both; -} - -/* Footnotes & citations ends */ - dl.field-list { display: grid; grid-template-columns: fit-content(30%) auto; diff --git a/docs/_static/doctools.js b/docs/_static/doctools.js index c3db08d1c..e1bfd708b 100644 --- a/docs/_static/doctools.js +++ b/docs/_static/doctools.js @@ -2,263 +2,357 @@ * doctools.js * ~~~~~~~~~~~ * - * Base JavaScript utilities for all Sphinx HTML documentation. + * Sphinx JavaScript utilities for all documentation. * * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS. * :license: BSD, see LICENSE for details. * */ -"use strict"; -const _ready = (callback) => { - if (document.readyState !== "loading") { - callback(); - } else { - document.addEventListener("DOMContentLoaded", callback); +/** + * select a different prefix for underscore + */ +$u = _.noConflict(); + +/** + * make the code below compatible with browsers without + * an installed firebug like debugger +if (!window.console || !console.firebug) { + var names = ["log", "debug", "info", "warn", "error", "assert", "dir", + "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace", + "profile", "profileEnd"]; + window.console = {}; + for (var i = 0; i < names.length; ++i) + window.console[names[i]] = function() {}; +} + */ + +/** + * small helper function to urldecode strings + * + * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/decodeURIComponent#Decoding_query_parameters_from_a_URL + */ +jQuery.urldecode = function(x) { + if (!x) { + return x } + return decodeURIComponent(x.replace(/\+/g, ' ')); }; /** - * highlight a given string on a node by wrapping it in - * span elements with the given class name. + * small helper function to urlencode strings */ -const _highlight = (node, addItems, text, className) => { - if (node.nodeType === Node.TEXT_NODE) { - const val = node.nodeValue; - const parent = node.parentNode; - const pos = val.toLowerCase().indexOf(text); - if ( - pos >= 0 && - !parent.classList.contains(className) && - !parent.classList.contains("nohighlight") - ) { - let span; +jQuery.urlencode = encodeURIComponent; - const closestNode = parent.closest("body, svg, foreignObject"); - const isInSVG = closestNode && closestNode.matches("svg"); - if (isInSVG) { - span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); - } else { - span = document.createElement("span"); - span.classList.add(className); - } +/** + * This function returns the parsed url parameters of the + * current request. Multiple values per key are supported, + * it will always return arrays of strings for the value parts. + */ +jQuery.getQueryParameters = function(s) { + if (typeof s === 'undefined') + s = document.location.search; + var parts = s.substr(s.indexOf('?') + 1).split('&'); + var result = {}; + for (var i = 0; i < parts.length; i++) { + var tmp = parts[i].split('=', 2); + var key = jQuery.urldecode(tmp[0]); + var value = jQuery.urldecode(tmp[1]); + if (key in result) + result[key].push(value); + else + result[key] = [value]; + } + return result; +}; - span.appendChild(document.createTextNode(val.substr(pos, text.length))); - parent.insertBefore( - span, - parent.insertBefore( +/** + * highlight a given string on a jquery object by wrapping it in + * span elements with the given class name. + */ +jQuery.fn.highlightText = function(text, className) { + function highlight(node, addItems) { + if (node.nodeType === 3) { + var val = node.nodeValue; + var pos = val.toLowerCase().indexOf(text); + if (pos >= 0 && + !jQuery(node.parentNode).hasClass(className) && + !jQuery(node.parentNode).hasClass("nohighlight")) { + var span; + var isInSVG = jQuery(node).closest("body, svg, foreignObject").is("svg"); + if (isInSVG) { + span = document.createElementNS("http://www.w3.org/2000/svg", "tspan"); + } else { + span = document.createElement("span"); + span.className = className; + } + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( document.createTextNode(val.substr(pos + text.length)), - node.nextSibling - ) - ); - node.nodeValue = val.substr(0, pos); - - if (isInSVG) { - const rect = document.createElementNS( - "http://www.w3.org/2000/svg", - "rect" - ); - const bbox = parent.getBBox(); - rect.x.baseVal.value = bbox.x; - rect.y.baseVal.value = bbox.y; - rect.width.baseVal.value = bbox.width; - rect.height.baseVal.value = bbox.height; - rect.setAttribute("class", className); - addItems.push({ parent: parent, target: rect }); + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + if (isInSVG) { + var rect = document.createElementNS("http://www.w3.org/2000/svg", "rect"); + var bbox = node.parentElement.getBBox(); + rect.x.baseVal.value = bbox.x; + rect.y.baseVal.value = bbox.y; + rect.width.baseVal.value = bbox.width; + rect.height.baseVal.value = bbox.height; + rect.setAttribute('class', className); + addItems.push({ + "parent": node.parentNode, + "target": rect}); + } } } - } else if (node.matches && !node.matches("button, select, textarea")) { - node.childNodes.forEach((el) => _highlight(el, addItems, text, className)); + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this, addItems); + }); + } } -}; -const _highlightText = (thisNode, text, className) => { - let addItems = []; - _highlight(thisNode, addItems, text, className); - addItems.forEach((obj) => - obj.parent.insertAdjacentElement("beforebegin", obj.target) - ); + var addItems = []; + var result = this.each(function() { + highlight(this, addItems); + }); + for (var i = 0; i < addItems.length; ++i) { + jQuery(addItems[i].parent).before(addItems[i].target); + } + return result; }; +/* + * backward compatibility for jQuery.browser + * This will be supported until firefox bug is fixed. + */ +if (!jQuery.browser) { + jQuery.uaMatch = function(ua) { + ua = ua.toLowerCase(); + + var match = /(chrome)[ \/]([\w.]+)/.exec(ua) || + /(webkit)[ \/]([\w.]+)/.exec(ua) || + /(opera)(?:.*version|)[ \/]([\w.]+)/.exec(ua) || + /(msie) ([\w.]+)/.exec(ua) || + ua.indexOf("compatible") < 0 && /(mozilla)(?:.*? rv:([\w.]+)|)/.exec(ua) || + []; + + return { + browser: match[ 1 ] || "", + version: match[ 2 ] || "0" + }; + }; + jQuery.browser = {}; + jQuery.browser[jQuery.uaMatch(navigator.userAgent).browser] = true; +} + /** * Small JavaScript module for the documentation. */ -const Documentation = { - init: () => { - Documentation.highlightSearchWords(); - Documentation.initDomainIndexTable(); - Documentation.initOnKeyListeners(); +var Documentation = { + + init : function() { + this.fixFirefoxAnchorBug(); + this.highlightSearchWords(); + this.initIndexTable(); + this.initOnKeyListeners(); }, /** * i18n support */ - TRANSLATIONS: {}, - PLURAL_EXPR: (n) => (n === 1 ? 0 : 1), - LOCALE: "unknown", + TRANSLATIONS : {}, + PLURAL_EXPR : function(n) { return n === 1 ? 0 : 1; }, + LOCALE : 'unknown', // gettext and ngettext don't access this so that the functions // can safely bound to a different name (_ = Documentation.gettext) - gettext: (string) => { - const translated = Documentation.TRANSLATIONS[string]; - switch (typeof translated) { - case "undefined": - return string; // no translation - case "string": - return translated; // translation exists - default: - return translated[0]; // (singular, plural) translation tuple exists - } + gettext : function(string) { + var translated = Documentation.TRANSLATIONS[string]; + if (typeof translated === 'undefined') + return string; + return (typeof translated === 'string') ? translated : translated[0]; }, - ngettext: (singular, plural, n) => { - const translated = Documentation.TRANSLATIONS[singular]; - if (typeof translated !== "undefined") - return translated[Documentation.PLURAL_EXPR(n)]; - return n === 1 ? singular : plural; + ngettext : function(singular, plural, n) { + var translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated === 'undefined') + return (n == 1) ? singular : plural; + return translated[Documentation.PLURALEXPR(n)]; }, - addTranslations: (catalog) => { - Object.assign(Documentation.TRANSLATIONS, catalog.messages); - Documentation.PLURAL_EXPR = new Function( - "n", - `return (${catalog.plural_expr})` - ); - Documentation.LOCALE = catalog.locale; + addTranslations : function(catalog) { + for (var key in catalog.messages) + this.TRANSLATIONS[key] = catalog.messages[key]; + this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); + this.LOCALE = catalog.locale; }, /** - * highlight the search words provided in the url in the text + * add context elements like header anchor links */ - highlightSearchWords: () => { - const highlight = - new URLSearchParams(window.location.search).get("highlight") || ""; - const terms = highlight.toLowerCase().split(/\s+/).filter(x => x); - if (terms.length === 0) return; // nothing to do + addContextElements : function() { + $('div[id] > :header:first').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this headline')). + appendTo(this); + }); + $('dt[id]').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this definition')). + appendTo(this); + }); + }, - // There should never be more than one element matching "div.body" - const divBody = document.querySelectorAll("div.body"); - const body = divBody.length ? divBody[0] : document.querySelector("body"); - window.setTimeout(() => { - terms.forEach((term) => _highlightText(body, term, "highlighted")); - }, 10); + /** + * workaround a firefox stupidity + * see: https://bugzilla.mozilla.org/show_bug.cgi?id=645075 + */ + fixFirefoxAnchorBug : function() { + if (document.location.hash && $.browser.mozilla) + window.setTimeout(function() { + document.location.href += ''; + }, 10); + }, - const searchBox = document.getElementById("searchbox"); - if (searchBox === null) return; - searchBox.appendChild( - document - .createRange() - .createContextualFragment( - '

' + - '' + - Documentation.gettext("Hide Search Matches") + - "

" - ) - ); + /** + * highlight the search words provided in the url in the text + */ + highlightSearchWords : function() { + var params = $.getQueryParameters(); + var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; + if (terms.length) { + var body = $('div.body'); + if (!body.length) { + body = $('body'); + } + window.setTimeout(function() { + $.each(terms, function() { + body.highlightText(this.toLowerCase(), 'highlighted'); + }); + }, 10); + $('

' + _('Hide Search Matches') + '

') + .appendTo($('#searchbox')); + } }, /** - * helper function to hide the search marks again + * init the domain index toggle buttons */ - hideSearchWords: () => { - document - .querySelectorAll("#searchbox .highlight-link") - .forEach((el) => el.remove()); - document - .querySelectorAll("span.highlighted") - .forEach((el) => el.classList.remove("highlighted")); - const url = new URL(window.location); - url.searchParams.delete("highlight"); - window.history.replaceState({}, "", url); + initIndexTable : function() { + var togglers = $('img.toggler').click(function() { + var src = $(this).attr('src'); + var idnum = $(this).attr('id').substr(7); + $('tr.cg-' + idnum).toggle(); + if (src.substr(-9) === 'minus.png') + $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); + else + $(this).attr('src', src.substr(0, src.length-8) + 'minus.png'); + }).css('display', ''); + if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) { + togglers.click(); + } }, /** + * helper function to hide the search marks again + */ + hideSearchWords : function() { + $('#searchbox .highlight-link').fadeOut(300); + $('span.highlighted').removeClass('highlighted'); + var url = new URL(window.location); + url.searchParams.delete('highlight'); + window.history.replaceState({}, '', url); + }, + + /** * helper function to focus on search bar */ - focusSearchBar: () => { - document.querySelectorAll("input[name=q]")[0]?.focus(); + focusSearchBar : function() { + $('input[name=q]').first().focus(); }, /** - * Initialise the domain index toggle buttons + * make the url absolute */ - initDomainIndexTable: () => { - const toggler = (el) => { - const idNumber = el.id.substr(7); - const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`); - if (el.src.substr(-9) === "minus.png") { - el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`; - toggledRows.forEach((el) => (el.style.display = "none")); - } else { - el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`; - toggledRows.forEach((el) => (el.style.display = "")); - } - }; + makeURL : function(relativeURL) { + return DOCUMENTATION_OPTIONS.URL_ROOT + '/' + relativeURL; + }, - const togglerElements = document.querySelectorAll("img.toggler"); - togglerElements.forEach((el) => - el.addEventListener("click", (event) => toggler(event.currentTarget)) - ); - togglerElements.forEach((el) => (el.style.display = "")); - if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler); + /** + * get the current relative url + */ + getCurrentURL : function() { + var path = document.location.pathname; + var parts = path.split(/\//); + $.each(DOCUMENTATION_OPTIONS.URL_ROOT.split(/\//), function() { + if (this === '..') + parts.pop(); + }); + var url = parts.join('/'); + return path.substring(url.lastIndexOf('/') + 1, path.length - 1); }, - initOnKeyListeners: () => { + initOnKeyListeners: function() { // only install a listener if it is really needed - if ( - !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && - !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS - ) - return; + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS && + !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) + return; - const blacklistedElements = new Set([ - "TEXTAREA", - "INPUT", - "SELECT", - "BUTTON", - ]); - document.addEventListener("keydown", (event) => { - if (blacklistedElements.has(document.activeElement.tagName)) return; // bail for input elements - if (event.altKey || event.ctrlKey || event.metaKey) return; // bail with special keys + $(document).keydown(function(event) { + var activeElementType = document.activeElement.tagName; + // don't navigate when in search box, textarea, dropdown or button + if (activeElementType !== 'TEXTAREA' && activeElementType !== 'INPUT' && activeElementType !== 'SELECT' + && activeElementType !== 'BUTTON') { + if (event.altKey || event.ctrlKey || event.metaKey) + return; - if (!event.shiftKey) { - switch (event.key) { - case "ArrowLeft": - if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; - - const prevLink = document.querySelector('link[rel="prev"]'); - if (prevLink && prevLink.href) { - window.location.href = prevLink.href; - event.preventDefault(); - } - break; - case "ArrowRight": - if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break; - - const nextLink = document.querySelector('link[rel="next"]'); - if (nextLink && nextLink.href) { - window.location.href = nextLink.href; - event.preventDefault(); - } - break; - case "Escape": - if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break; - Documentation.hideSearchWords(); - event.preventDefault(); + if (!event.shiftKey) { + switch (event.key) { + case 'ArrowLeft': + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) + break; + var prevHref = $('link[rel="prev"]').prop('href'); + if (prevHref) { + window.location.href = prevHref; + return false; + } + break; + case 'ArrowRight': + if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) + break; + var nextHref = $('link[rel="next"]').prop('href'); + if (nextHref) { + window.location.href = nextHref; + return false; + } + break; + case 'Escape': + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) + break; + Documentation.hideSearchWords(); + return false; + } } - } - // some keyboard layouts may need Shift to get / - switch (event.key) { - case "/": - if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break; - Documentation.focusSearchBar(); - event.preventDefault(); + // some keyboard layouts may need Shift to get / + switch (event.key) { + case '/': + if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) + break; + Documentation.focusSearchBar(); + return false; + } } }); - }, + } }; // quick alias for translations -const _ = Documentation.gettext; +_ = Documentation.gettext; -_ready(Documentation.init); +$(document).ready(function() { + Documentation.init(); +}); diff --git a/docs/_static/documentation_options.js b/docs/_static/documentation_options.js index 9200e3a99..27728f486 100644 --- a/docs/_static/documentation_options.js +++ b/docs/_static/documentation_options.js @@ -1,7 +1,7 @@ var DOCUMENTATION_OPTIONS = { URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'), VERSION: '3.0', - LANGUAGE: 'en', + LANGUAGE: 'None', COLLAPSE_INDEX: false, BUILDER: 'html', FILE_SUFFIX: '.html', @@ -10,5 +10,5 @@ var DOCUMENTATION_OPTIONS = { SOURCELINK_SUFFIX: '.txt', NAVIGATION_WITH_KEYS: false, SHOW_SEARCH_SUMMARY: true, - ENABLE_SEARCH_SHORTCUTS: false, + ENABLE_SEARCH_SHORTCUTS: true, }; \ No newline at end of file diff --git a/docs/_static/jquery.js b/docs/_static/jquery.js index c4c6022f2..b0614034a 100644 --- a/docs/_static/jquery.js +++ b/docs/_static/jquery.js @@ -1,2 +1,2 @@ -/*! jQuery v3.6.0 | (c) OpenJS Foundation and other contributors | jquery.org/license */ -!function(e,t){"use strict";"object"==typeof module&&"object"==typeof module.exports?module.exports=e.document?t(e,!0):function(e){if(!e.document)throw new Error("jQuery 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