mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-07-16 18:31:27 +00:00
Add website stable + nightly training installation options (#17334)
### Description Live preview [here](https://carzh.github.io/onnxruntime/) Added stable + nightly options in the ORT training installation tab <img width="1017" alt="image" src="https://github.com/microsoft/onnxruntime/assets/22922935/e6aac45f-fe02-4ea3-9980-537345dd0115"> Inspired from [pytorch installation](https://pytorch.org/) Also updated installation instructions for the 1.16 release Also open to wording suggestions / moving the build row to the top. ### Motivation and Context Helps users find the nightly builds more easily.
This commit is contained in:
Caroline
GitHub
parent
71d60b408a
commit
eddbb35257
2 changed files with 134 additions and 80 deletions
23
index.html
23
index.html
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@ -724,6 +724,29 @@ Console.WriteLine(outputs[0].AsTensor<float>()[0]);</code>
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</div>
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</div>
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<div class="row r-wrap mb-1 mb-md-0 mr-0">
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<div class="col-md-3 r-heading">
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<h3 id="ot_selectBuild">Build</h3>
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<p id="ot_decriptionBuild" class="sr-only">
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Build list contains two items
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</p>
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</div>
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<div class="col-md-9 r-content pr-0 pl-md-4" role="listbox"
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id="ot_listbox-4" aria-labelledby="ot_selectBuild"
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aria-describedby="ot_decriptionBuild">
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<div class="row ot_build">
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<div class="col r-option version" role="option" tabindex="0"
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aria-selected="true" id="ot_stable">
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<span><abbr>Stable</abbr></span>
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</div>
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<div class="col r-option version" role="option" tabindex="-1"
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aria-selected="true" id="ot_nightly">
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<span><abbr>Preview (Nightly)</abbr></span>
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</div>
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</div>
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</div>
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</div>
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<div class="row r-wrap command-block row-eq-height mr-0">
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<div class="col-md-3 r-heading">
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<h3 class="text-white" id="ot_selectRunCommand">
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191
js/script.js
191
js/script.js
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@ -24,6 +24,7 @@ var ot_opts = {
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ot_architecture: 'ot_X64',
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ot_language: '',
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ot_hardwareAcceleration: '',
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ot_build: ''
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};
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var os = $(".os > .r-option");
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@ -39,6 +40,7 @@ var ot_scenario = $(".ot_scenario > .r-option");
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var ot_architecture = $(".ot_architecture > .r-option");
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var ot_language = $(".ot_language > .r-option");
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var ot_hardwareAcceleration = $(".ot_hardwareAcceleration > .r-option");
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var ot_build = $(".ot_build > .r-option");
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var supported = true;
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var ot_defaultSelection = true;
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@ -83,6 +85,14 @@ ot_scenario.on("keypress keyup", function (event) {
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ot_selectedOption(ot_scenario, this, "ot_scenario");
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}
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});
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ot_build.on("click", function () {
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ot_selectedOption(ot_build, this, "ot_build");
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});
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ot_build.on("keypress keyup", function (event) {
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if (checkKeyPress(event)) {
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ot_selectedOption(ot_build, this, "ot_build");
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}
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});
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architecture.on("click", function () {
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selectedOption(architecture, this, "architecture");
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});
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@ -184,11 +194,6 @@ function checkValidity(){
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var current_arch = opts['architecture'];
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var current_hw = opts['hardwareAcceleration'];
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// console.log("current: "+current_os);
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// console.log("current: "+current_arch);
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// console.log("current: "+current_lang);
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// console.log("current: "+current_hw);
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var valid = Object.getOwnPropertyNames(validCombos);
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//os section
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@ -269,7 +274,6 @@ function checkValidity(){
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}
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if(isvalidcombo==false && hardwareAcceleration[i].id!=current_hw){
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// console.log(hardwareAcceleration[i]);
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$(hardwareAcceleration[i]).addClass("gray");
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}
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}
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@ -281,25 +285,15 @@ function ot_checkValidity(){
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var current_lang = ot_opts['ot_language'];
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var current_arch = ot_opts['ot_architecture'];
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var current_hw = ot_opts['ot_hardwareAcceleration'];
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// console.log("current: "+current_os);
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// console.log("current: "+current_arch);
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// console.log("current: "+current_lang);
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// console.log("current: "+current_hw);
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var current_build = ot_opts['ot_build'];
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var valid = Object.getOwnPropertyNames(ot_validCombos);
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// scenario section
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for(var i =0; i<ot_scenario.length; i++){
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//disable other selections once item in category selected
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// if(ot_os[i].id!=current_os && current_os!=''){
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// $(ot_os[i]).addClass("gray");
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// continue;
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// }
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var isvalidcombo=false;
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for(var k=0; k<valid.length;k++){
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if(valid[k].indexOf(ot_scenario[i].id)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(current_hw)!=-1){
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if(valid[k].indexOf(ot_scenario[i].id)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(current_hw)!=-1 && valid[k].indexOf(current_build)!=-1){
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isvalidcombo=true;
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break;
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}
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@ -318,7 +312,7 @@ function ot_checkValidity(){
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// }
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var isvalidcombo=false;
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for(var k=0; k<valid.length;k++){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(ot_os[i].id)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(current_hw)!=-1){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(ot_os[i].id)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(current_hw)!=-1 && valid[k].indexOf(current_build)!=-1){
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isvalidcombo=true;
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break;
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}
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@ -337,7 +331,7 @@ function ot_checkValidity(){
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// }
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var isvalidcombo=false;
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for(var k=0; k<valid.length;k++){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(ot_language[i].id)!=-1 && valid[k].indexOf(current_hw)!=-1){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(ot_language[i].id)!=-1 && valid[k].indexOf(current_hw)!=-1 && valid[k].indexOf(current_build)!=-1){
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isvalidcombo=true;
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break;
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}
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@ -356,7 +350,7 @@ function ot_checkValidity(){
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// }
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var isvalidcombo=false;
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for(var k=0; k<valid.length;k++){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(ot_architecture[i].id)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(current_hw)!=-1){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(ot_architecture[i].id)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(current_hw)!=-1 && valid[k].indexOf(current_build)!=-1){
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isvalidcombo=true;
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break;
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}
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@ -375,7 +369,7 @@ function ot_checkValidity(){
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// }
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var isvalidcombo=false;
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for(var k=0; k<valid.length;k++){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(ot_hardwareAcceleration[i].id)!=-1){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(ot_hardwareAcceleration[i].id)!=-1 && valid[k].indexOf(current_build)!=-1){
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isvalidcombo=true;
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break;
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}
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@ -385,6 +379,20 @@ function ot_checkValidity(){
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$(ot_hardwareAcceleration[i]).addClass("gray");
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}
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}
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// build section
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for(var i =0; i<ot_build.length; i++){
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var isvalidcombo=false;
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for(var k=0; k<valid.length;k++){
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if(valid[k].indexOf(current_scenario)!=-1 && valid[k].indexOf(current_os)!=-1 && valid[k].indexOf(current_arch)!=-1 && valid[k].indexOf(current_lang)!=-1 && valid[k].indexOf(current_hw)!=-1 && valid[k].indexOf(ot_build[i].id)!=-1){
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isvalidcombo=true;
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break;
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}
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}
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if(isvalidcombo==false && ot_build[i].id!=current_build){
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$(ot_build[i]).addClass("gray");
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}
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}
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}
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@ -520,6 +528,9 @@ function resetOptions(){
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for(var i=0; i<ot_hardwareAcceleration.length;i++){
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$(ot_hardwareAcceleration[i]).removeClass("gray");
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}
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for(var i=0; i<ot_build.length;i++){
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$(ot_build[i]).removeClass("gray");
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}
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ot_defaultSelection = false;
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}
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@ -563,95 +574,133 @@ function ot_buildMatcher() {
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"," +
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ot_opts.ot_architecture +
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"," +
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ot_opts.ot_hardwareAcceleration
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ot_opts.ot_hardwareAcceleration +
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"," +
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ot_opts.ot_build
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);
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}
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var ot_validCombos = {
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"ot_linux,ot_large_model,ot_python,ot_X64,ot_CUDA":
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"ot_linux,ot_large_model,ot_python,ot_X64,ot_CUDA,ot_stable":
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"pip install onnxruntime-training -f https://downloads.onnxruntime.ai/onnxruntime_stable_<b><cu_version*</b>>.html<br/>pip install torch-ort<br/>python -m torch_ort.configure<br/><br/>*</b><a href='https://download.onnxruntime.ai/' target='blank'>Available versions</a>",
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"ot_linux,ot_large_model,ot_python,ot_X64,ot_ROCm":
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"ot_linux,ot_large_model,ot_python,ot_X64,ot_CUDA,ot_nightly":
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"pip install onnxruntime-training -f https://downloads.onnxruntime.ai/onnxruntime_nightly_<b><cu_version*</b>>.html<br/>pip install torch-ort<br/>python -m torch_ort.configure<br/><br/>*</b><a href='https://download.onnxruntime.ai/' target='blank'>Available versions</a>",
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"ot_linux,ot_large_model,ot_python,ot_X64,ot_ROCm,ot_stable":
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"pip install onnxruntime-training -f https://downloads.onnxruntime.ai/onnxruntime_stable_<b><rocm_version*</b>>.html<br/>pip install torch-ort<br/>python -m torch_ort.configure<br/><br/>*<a href='https://download.onnxruntime.ai/' target='blank'>Available versions</a>",
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"ot_linux,ot_on_device,ot_python,ot_X64,ot_CPU":
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"pip install onnxruntime-training<br/><br/>*</b><a href='https://download.onnxruntime.ai/' target='blank'>Available versions</a>",
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"ot_linux,ot_large_model,ot_python,ot_X64,ot_ROCm,ot_nightly":
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"pip install onnxruntime-training -f https://downloads.onnxruntime.ai/onnxruntime_nightly_<b><rocm_version*</b>>.html<br/>pip install torch-ort<br/>python -m torch_ort.configure<br/><br/>*<a href='https://download.onnxruntime.ai/' target='blank'>Available versions</a>",
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"ot_linux,ot_on_device,ot_python,ot_X64,ot_CPU,ot_stable":
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"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT/pypi/simple/ onnxruntime-training-cpu",
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"ot_linux,ot_on_device,ot_python,ot_X64,ot_CUDA":
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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"ot_linux,ot_on_device,ot_python,ot_X64,ot_CPU,ot_nightly":
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"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-nightly/pypi/simple/ onnxruntime-training-cpu",
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"ot_windows,ot_on_device,ot_python,ot_X64,ot_CPU":
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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"ot_linux,ot_on_device,ot_python,ot_X64,ot_CUDA,ot_stable":
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"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT/pypi/simple/ onnxruntime-training",
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"ot_windows,ot_on_device,ot_python,ot_X64,ot_CUDA":
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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"ot_linux,ot_on_device,ot_python,ot_X64,ot_CUDA,ot_nightly":
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"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime-training",
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"ot_windows,ot_on_device,ot_c,ot_X64,ot_CPU":
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"Install Nuget package <a href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Training' target='_blank'>Microsoft.ML.OnnxRuntime.Training</a>",
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"ot_windows,ot_on_device,ot_cplusplus,ot_X64,ot_CPU":
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"Install Nuget package <a href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Training' target='_blank'>Microsoft.ML.OnnxRuntime.Training</a>",
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"ot_windows,ot_on_device,ot_csharp,ot_X64,ot_CPU":
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"Install Nuget package <a href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Training' target='_blank'>Microsoft.ML.OnnxRuntime.Training</a>",
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"ot_linux,ot_on_device,ot_c,ot_X64,ot_CPU":
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"Download .tgz file from <a href='https://github.com/microsoft/onnxruntime/releases' target='_blank'>Github</a> <br/>Refer to <a href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
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"ot_linux,ot_on_device,ot_cplusplus,ot_X64,ot_CPU":
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"ot_linux,ot_on_device,ot_cplusplus,ot_X64,ot_CPU,ot_stable":
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"Download .tgz file from <a href='https://github.com/microsoft/onnxruntime/releases' target='_blank'>Github</a> <br/>Refer to <a href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
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"ot_linux,ot_on_device,ot_csharp,ot_X64,ot_CPU":
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"ot_linux,ot_on_device,ot_csharp,ot_X64,ot_CPU,ot_stable":
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"Install Nuget package <a href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Training' target='_blank'>Microsoft.ML.OnnxRuntime.Training</a>",
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"ot_linux,ot_on_device,ot_c,ot_X64,ot_CUDA":
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"ot_linux,ot_on_device,ot_c,ot_X64,ot_CUDA,ot_stable":
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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"ot_linux,ot_on_device,ot_cplusplus,ot_X64,ot_CUDA":
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"ot_linux,ot_on_device,ot_cplusplus,ot_X64,ot_CUDA,ot_stable":
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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"ot_linux,ot_on_device,ot_csharp,ot_X64,ot_CUDA":
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"ot_linux,ot_on_device,ot_csharp,ot_X64,ot_CUDA,ot_stable":
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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"ot_windows,ot_on_device,ot_c,ot_X64,ot_CUDA":
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"ot_linux,ot_on_device,ot_c,ot_X64,ot_CPU,ot_stable":
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"Download .tgz file from <a href='https://github.com/microsoft/onnxruntime/releases' target='_blank'>Github</a> <br/>Refer to <a href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
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"ot_windows,ot_on_device,ot_python,ot_X64,ot_CPU,ot_stable":
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"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT/pypi/simple/ onnxruntime-training-cpu",
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"ot_windows,ot_on_device,ot_python,ot_X64,ot_CPU,ot_nightly":
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"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime-training-cpu",
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"ot_windows,ot_on_device,ot_python,ot_X64,ot_CUDA,ot_stable":
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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"ot_windows,ot_on_device,ot_cplusplus,ot_X64,ot_CUDA":
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"ot_windows,ot_on_device,ot_c,ot_X64,ot_CPU,ot_stable":
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"Install Nuget package <a href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Training' target='_blank'>Microsoft.ML.OnnxRuntime.Training</a>",
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"ot_windows,ot_on_device,ot_cplusplus,ot_X64,ot_CPU,ot_stable":
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"Install Nuget package <a href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Training' target='_blank'>Microsoft.ML.OnnxRuntime.Training</a>",
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"ot_windows,ot_on_device,ot_csharp,ot_X64,ot_CPU,ot_stable":
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"Install Nuget package <a href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Training' target='_blank'>Microsoft.ML.OnnxRuntime.Training</a>",
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"ot_windows,ot_on_device,ot_c,ot_X64,ot_CUDA,ot_stable":
|
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"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
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|
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"ot_windows,ot_on_device,ot_cplusplus,ot_X64,ot_CUDA,ot_stable":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
|
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"ot_windows,ot_on_device,ot_csharp,ot_X64,ot_CUDA":
|
||||
"ot_windows,ot_on_device,ot_csharp,ot_X64,ot_CUDA,ot_stable":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/training.html' target='_blank'>here</a>",
|
||||
|
||||
"ot_android,ot_on_device,ot_c,ot_X64,ot_CPU":
|
||||
"ot_android,ot_on_device,ot_c,ot_X64,ot_CPU,ot_stable":
|
||||
"Follow installation instructions from <a href='https://onnxruntime.ai/docs/install/#install-for-on-device-training' target='_blank'>here</a>",
|
||||
|
||||
"ot_android,ot_on_device,ot_cplusplus,ot_X64,ot_CPU":
|
||||
"ot_android,ot_on_device,ot_cplusplus,ot_X64,ot_CPU,ot_stable":
|
||||
"Follow installation instructions from <a href='https://onnxruntime.ai/docs/install/#install-for-on-device-training' target='_blank'>here</a>",
|
||||
|
||||
"ot_android,ot_on_device,ot_java,ot_X64,ot_CPU":
|
||||
"ot_android,ot_on_device,ot_java,ot_X64,ot_CPU,ot_stable":
|
||||
"Add a dependency on <a href='https://mvnrepository.com/artifact/com.microsoft.onnxruntime/onnxruntime-training-android' target='_blank'>com.microsoft.onnxruntime:onnxruntime-training-android</a> using Maven/Gradle and refer to the instructions <a href='https://onnxruntime.ai/docs/install/#install-for-on-device-training' target='_blank'>here.</a>",
|
||||
|
||||
"ot_mac,ot_on_device,ot_python,ot_X64,ot_CPU":
|
||||
"pip install onnxruntime-training<br/><br/>*</b><a href='https://download.onnxruntime.ai/' target='blank'>Available versions</a>",
|
||||
"ot_android,ot_on_device,ot_c,ot_X64,ot_CPU,ot_nightly":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/android.html' target='_blank'>here</a>",
|
||||
|
||||
"ot_ios,ot_on_device,ot_objc,ot_X64,ot_CPU":
|
||||
"ot_android,ot_on_device,ot_cplusplus,ot_X64,ot_CPU,ot_nightly":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/android.html' target='_blank'>here</a>",
|
||||
|
||||
"ot_android,ot_on_device,ot_java,ot_X64,ot_CPU,ot_nightly":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/android.html' target='_blank'>here</a>",
|
||||
|
||||
"ot_mac,ot_on_device,ot_python,ot_X64,ot_CPU,ot_stable":
|
||||
"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT/pypi/simple/ onnxruntime-training-cpu",
|
||||
|
||||
"ot_mac,ot_on_device,ot_python,ot_X64,ot_CPU,ot_nightly":
|
||||
"python -m pip install cerberus flatbuffers h5py numpy>=1.16.6 onnx packaging protobuf sympy setuptools>=41.4.0<br/>pip install -i https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/ORT-Nightly/pypi/simple/ onnxruntime-training-cpu",
|
||||
|
||||
"ot_ios,ot_on_device,ot_objc,ot_X64,ot_CPU,ot_stable":
|
||||
"Add 'onnxruntime-training-objc' using CocoaPods and refer to the <a href='https://onnxruntime.ai/docs/tutorials/mobile/' target='_blank'>mobile deployment guide</a>",
|
||||
|
||||
"ot_ios,ot_on_device,ot_c,ot_X64,ot_CPU":
|
||||
"ot_ios,ot_on_device,ot_c,ot_X64,ot_CPU,ot_stable":
|
||||
"Add 'onnxruntime-training-c' using CocoaPods and refer to the <a href='https://onnxruntime.ai/docs/tutorials/mobile/' target='_blank'>mobile deployment guide</a>",
|
||||
|
||||
"ot_ios,ot_on_device,ot_cplusplus,ot_X64,ot_CPU":
|
||||
"ot_ios,ot_on_device,ot_cplusplus,ot_X64,ot_CPU,ot_stable":
|
||||
"Add 'onnxruntime-training-c' using CocoaPods and refer to the <a href='https://onnxruntime.ai/docs/tutorials/mobile/' target='_blank'>mobile deployment guide</a>",
|
||||
|
||||
"ot_ios,ot_on_device,ot_objc,ot_X64,ot_CPU,ot_nightly":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/ios.html' target='_blank'>here</a>",
|
||||
|
||||
"ot_ios,ot_on_device,ot_c,ot_X64,ot_CPU,ot_nightly":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/ios.html' target='_blank'>here</a>",
|
||||
|
||||
"ot_ios,ot_on_device,ot_cplusplus,ot_X64,ot_CPU,ot_nightly":
|
||||
"Follow build instructions from <a href='https://onnxruntime.ai/docs/build/ios.html' target='_blank'>here</a>",
|
||||
|
||||
};
|
||||
|
||||
function ot_commandMessage(key) {
|
||||
$("#ot_command").removeClass("valid");
|
||||
$("#ot_command").removeClass("invalid");
|
||||
|
||||
if(ot_opts['ot_os']=='' || ot_opts['ot_scenario'] == '' || ot_opts['ot_architecture'] == '' || ot_opts['ot_language']=='' || ot_opts['ot_hardwareAcceleration'] == ''){
|
||||
// console.log(ot_opts);
|
||||
if(ot_opts['ot_os']=='' || ot_opts['ot_scenario'] == '' || ot_opts['ot_architecture'] == '' || ot_opts['ot_language']=='' || ot_opts['ot_hardwareAcceleration'] == '' || ot_opts['ot_build'] == ''){
|
||||
$("#ot_command span").html(
|
||||
"Please select a combination of resources"
|
||||
)
|
||||
|
|
@ -669,21 +718,6 @@ function ot_commandMessage(key) {
|
|||
return true;
|
||||
}
|
||||
|
||||
// //console.log('key- '+key);
|
||||
// var ot_object = {
|
||||
// "ot_linux,ot_ORTModule,ot_X64,ot_CUDA10":
|
||||
// "Follow sample notebook from <a href='https://github.com/microsoft/onnxruntime-training-examples' target='_blank'>here</a>",
|
||||
|
||||
// "ot_linux,ot_TensorFlow,ot_X64,ot_CUDA10":
|
||||
// "Coming Soon",
|
||||
// };
|
||||
// if (!ot_object.hasOwnProperty(key)) {
|
||||
// $("#ot_command span").html(
|
||||
// "Coming Soon"
|
||||
// );
|
||||
// } else {
|
||||
// $("#ot_command span").html(ot_object[key]);
|
||||
// }
|
||||
}
|
||||
|
||||
var validCombos = {
|
||||
|
|
@ -1335,14 +1369,12 @@ var validCombos = {
|
|||
};
|
||||
|
||||
function commandMessage(key) {
|
||||
// console.log('key- '.key);
|
||||
|
||||
$("#command").removeClass("valid");
|
||||
$("#command").removeClass("invalid");
|
||||
|
||||
if(opts['os']=='web' && opts['language']=='JS' &&validCombos.hasOwnProperty(key)){
|
||||
$("#command span").html(validCombos[key]);
|
||||
// console.log(element);
|
||||
$("#command").addClass("valid");
|
||||
return true;
|
||||
}
|
||||
|
|
@ -1360,7 +1392,6 @@ function commandMessage(key) {
|
|||
return false;
|
||||
} else {
|
||||
$("#command span").html(validCombos[key]);
|
||||
// console.log(element);
|
||||
$("#command").addClass("valid");
|
||||
return true;
|
||||
}
|
||||
|
|
|
|||
Loading…
Reference in a new issue