Add Microsoft Learn link to navigation on LTB pages (pytorch#1541)

* add microsoft link to nav

* Create staging.yml (pytorch#50)

* fix image for run ms learn

* fix format

* add image

* fix href check

* updated "in the cloud" to ms learn

* fix default link id

* remove staging github action

* fix run in ms learn

_templates/layout.html

@@ -3,6 +3,43 @@
 {% block footer %}
 {{ super() }}
 <script>
+
+
+//add microsoft link
+
+if(window.location.href.indexOf("/beginner/basics/")!= -1)
+{
+  var url="https://docs.microsoft.com/learn/paths/pytorch-fundamentals/?wt.mc_id=aiml-7486-cxa";
+  switch(window.location.pathname.split("/").pop().replace('.html',''))
+  {
+    case"quickstart_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/9-quickstart?WT.mc_id=aiml-7486-cxa";
+      break;
+    case"tensorqs_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/2-tensors?WT.mc_id=aiml-7486-cxa";
+      break;
+    case"data_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/3-data?WT.mc_id=aiml-7486-cxa";
+      break;
+    case"transforms_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/4-transforms?WT.mc_id=aiml-7486-cxa";
+      break;
+    case"buildmodel_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/5-model?WT.mc_id=aiml-7486-cxa";
+      break;
+    case"autogradqs_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/6-autograd?WT.mc_id=aiml-7486-cxa";
+      break;
+    case"optimization_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/7-optimization?WT.mc_id=aiml-7486-cxa";
+      break;
+    case"saveloadrun_tutorial":
+      url="https://docs.microsoft.com/learn/modules/intro-machine-learning-pytorch/8-inference?WT.mc_id=aiml-7486-cxa";
+    }
+
+    $(".pytorch-call-to-action-links").children().first().before("<a href="+url+' data-behavior="call-to-action-event" data-response="Run in Microsoft Learn" target="_blank"><div id="microsoft-learn-link" style="padding-bottom: 0.625rem;border-bottom: 1px solid #f3f4f7;padding-right: 2.5rem;display: -webkit-box;  display: -ms-flexbox; isplay: flex; -webkit-box-align: center;-ms-flex-align: center;align-items: center;"><img class="call-to-action-img" src="../../_static/images/microsoft-logo.svg"/><div class="call-to-action-desktop-view">Run in Microsoft Learn</div><div class="call-to-action-mobile-view">Learn</div></div></a>')
+  }
+
   !function(f,b,e,v,n,t,s)
   {if(f.fbq)return;n=f.fbq=function(){n.callMethod?
   n.callMethod.apply(n,arguments):n.queue.push(arguments)};
@@ -46,6 +83,8 @@
      $(".rating-container").hide();
      $(".hr-bottom").hide();
    }
+
+
 </script>
 
 <noscript>

beginner_source/basics/intro.py

@@ -34,7 +34,7 @@
 ------------------
 You can run this tutorial in a couple of ways:
 
-- **In the cloud**: This is the easiest way to get started! Each section has a Colab link at the top, which opens a notebook with the code in a fully-hosted environment. Pro tip: Use Colab with a GPU runtime to speed up operations *Runtime > Change runtime type > GPU*
+- **In the cloud**: This is the easiest way to get started! Each section has a "Run in Microsoft Learn" link at the top, which opens an integrated notebook in Microsoft Learn with the code in a fully-hosted environment. 
 - **Locally**: This option requires you to setup PyTorch and TorchVision first on your local machine (`installation instructions <https://pytorch.org/get-started/locally/>`_). Download the notebook or copy the code into your favorite IDE.