📖 Publish docs for PyTorch v1.5.0 and torchvision v0.6.0.

Author: unknownue

README.md

@@ -2,9 +2,8 @@
 
 [![numpy version](https://badgen.net/badge/NumPy%20version/v1.18.1/black?icon=dockbit)](https://github.com/numpy/numpy)
 [![scikit-learn version](https://badgen.net/badge/Scikit-learn%20version/v0.22/black?icon=libraries)](https://github.com/scikit-learn/scikit-learn/releases/tag/0.22)
-[![torch version](https://img.shields.io/badge/torch_version-v1.4.0-g.svg?logo=PyTorch)](https://github.com/pytorch/pytorch)
-[![torchvision version](https://img.shields.io/badge/torchvision_version-v0.5.0-g.svg?logo=PyTorch)](https://github.com/pytorch/vision)
-[![PyTorch 1.4](https://img.shields.io/badge/PyTorch_1.4-Release_Note-blue.svg?logo=PyTorch)](https://pytorch.org/blog/pytorch-1-dot-4-released-and-domain-libraries-updated/)
+[![torch version](https://img.shields.io/badge/torch_version-v1.5.0-282828.svg?labelColor=4F4F4F&logo=PyTorch)](https://github.com/pytorch/pytorch)
+[![torchvision version](https://img.shields.io/badge/torchvision_version-v0.6.0-282828.svg?labelColor=4F4F4FF&logo=PyTorch)](https://github.com/pytorch/vision)
 
 Offline documentation built from official [NumPy](https://github.com/numpy/numpy.git), [Scikit-learn](https://github.com/scikit-learn/scikit-learn), [PyTorch](https://github.com/pytorch/pytorch.git) and [torchvision](https://github.com/pytorch/vision.git) release. The documentations of pytorch and torchvision are separate.
 

torch/.buildinfo

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 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: e510f41e5568600e8af48b9f1c23b060
+config: 5b947dc4bc88709ec535a13c5f326540
 tags: 645f666f9bcd5a90fca523b33c5a78b7

torch/__config__.html

@@ -30,7 +30,8 @@
   <link rel="stylesheet" href="_static/css/theme.css" type="text/css" />
   <!-- <link rel="stylesheet" href="_static/pygments.css" type="text/css" /> -->
   <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.10.0-beta/dist/katex.min.css" type="text/css" />
-  <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.10.2/dist/katex.min.css" type="text/css" />
+  <link rel="stylesheet" href="_static/css/jit.css" type="text/css" />
+  <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/katex@0.11.1/dist/katex.min.css" type="text/css" />
   <link rel="stylesheet" href="_static/katex-math.css" type="text/css" />
     <link rel="index" title="Index" href="genindex.html" />
     <link rel="search" title="Search" href="search.html" />
@@ -158,7 +159,7 @@
 
 
                 <div class="version">
-                  master (1.4.0 )
+                  master (1.5.0 )
                 </div>
 
 
@@ -195,25 +196,24 @@
 
               <p class="caption"><span class="caption-text">Notes</span></p>
 <ul>
+<li class="toctree-l1"><a class="reference internal" href="notes/amp_examples.html">Automatic Mixed Precision examples</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/autograd.html">Autograd mechanics</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/broadcasting.html">Broadcasting semantics</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/cpu_threading_torchscript_inference.html">CPU threading and TorchScript inference</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/cuda.html">CUDA semantics</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notes/distributed_autograd.html">Distributed Autograd Design</a></li>
+<li class="toctree-l1"><a class="reference internal" href="notes/ddp.html">Distributed Data Parallel</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/extending.html">Extending PyTorch</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/faq.html">Frequently Asked Questions</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/large_scale_deployments.html">Features for large-scale deployments</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/multiprocessing.html">Multiprocessing best practices</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/randomness.html">Reproducibility</a></li>
-<li class="toctree-l1"><a class="reference internal" href="notes/rref.html">Remote Reference Protocol</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/serialization.html">Serialization semantics</a></li>
 <li class="toctree-l1"><a class="reference internal" href="notes/windows.html">Windows FAQ</a></li>
-<li class="toctree-l1"><a class="reference external" href="http://pytorch.org/xla/">PyTorch on XLA Devices</a></li>
 </ul>
 <p class="caption"><span class="caption-text">Language Bindings</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/cppdocs/">C++ API</a></li>
-<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/javadoc/">Javadoc</a></li>
+<li class="toctree-l1"><a class="reference internal" href="packages.html">Javadoc</a></li>
 </ul>
 <p class="caption"><span class="caption-text">Python API</span></p>
 <ul class="current">
@@ -222,8 +222,10 @@
 <li class="toctree-l1"><a class="reference internal" href="nn.functional.html">torch.nn.functional</a></li>
 <li class="toctree-l1"><a class="reference internal" href="tensors.html">torch.Tensor</a></li>
 <li class="toctree-l1"><a class="reference internal" href="tensor_attributes.html">Tensor Attributes</a></li>
+<li class="toctree-l1"><a class="reference internal" href="tensor_view.html">Tensor Views</a></li>
 <li class="toctree-l1"><a class="reference internal" href="autograd.html">torch.autograd</a></li>
 <li class="toctree-l1"><a class="reference internal" href="cuda.html">torch.cuda</a></li>
+<li class="toctree-l1"><a class="reference internal" href="amp.html">torch.cuda.amp</a></li>
 <li class="toctree-l1"><a class="reference internal" href="distributed.html">torch.distributed</a></li>
 <li class="toctree-l1"><a class="reference internal" href="distributions.html">torch.distributions</a></li>
 <li class="toctree-l1"><a class="reference internal" href="hub.html">torch.hub</a></li>
@@ -232,7 +234,7 @@
 <li class="toctree-l1"><a class="reference internal" href="onnx.html">torch.onnx</a></li>
 <li class="toctree-l1"><a class="reference internal" href="optim.html">torch.optim</a></li>
 <li class="toctree-l1"><a class="reference internal" href="quantization.html">Quantization</a></li>
-<li class="toctree-l1"><a class="reference internal" href="rpc.html">Distributed RPC Framework</a></li>
+<li class="toctree-l1"><a class="reference internal" href="rpc/index.html">Distributed RPC Framework</a></li>
 <li class="toctree-l1"><a class="reference internal" href="random.html">torch.random</a></li>
 <li class="toctree-l1"><a class="reference internal" href="sparse.html">torch.sparse</a></li>
 <li class="toctree-l1"><a class="reference internal" href="storage.html">torch.Storage</a></li>
@@ -248,13 +250,13 @@
 <li class="toctree-l1"><a class="reference internal" href="name_inference.html">Named Tensors operator coverage</a></li>
 <li class="toctree-l1 current"><a class="current reference internal" href="#">torch.__config__</a></li>
 </ul>
-<p class="caption"><span class="caption-text">torchaudio Reference</span></p>
+<p class="caption"><span class="caption-text">Libraries</span></p>
 <ul>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/audio">torchaudio</a></li>
-</ul>
-<p class="caption"><span class="caption-text">torchtext Reference</span></p>
-<ul>
 <li class="toctree-l1"><a class="reference external" href="https://pytorch.org/text">torchtext</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/elastic/">TorchElastic</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/serve">TorchServe</a></li>
+<li class="toctree-l1"><a class="reference external" href="http://pytorch.org/xla/">PyTorch on XLA Devices</a></li>
 </ul>
 <p class="caption"><span class="caption-text">Community</span></p>
 <ul>
@@ -410,16 +412,17 @@
 
 
        <script type="text/javascript" id="documentation_options" data-url_root="./" src="_static/documentation_options.js"></script>
-         <script type="text/javascript" src="_static/jquery.js"></script>
-         <script type="text/javascript" src="_static/underscore.js"></script>
-         <script type="text/javascript" src="_static/doctools.js"></script>
-         <script type="text/javascript" src="_static/language_data.js"></script>
+         <script src="_static/jquery.js"></script>
+         <script src="_static/underscore.js"></script>
+         <script src="_static/doctools.js"></script>
+         <script src="_static/language_data.js"></script>
 
 
 
 
   <script type="text/javascript" src="_static/js/vendor/popper.min.js"></script>
   <script type="text/javascript" src="_static/js/vendor/bootstrap.min.js"></script>
+  <script src="https://cdnjs.cloudflare.com/ajax/libs/list.js/1.5.0/list.min.js"></script>
   <script type="text/javascript" src="_static/js/theme.js"></script>
 
   <script type="text/javascript">
@@ -493,25 +496,24 @@ <h2>Resources</h2>
             <li><a href="https://pytorch.org/features">Features</a></li>
             <li><a href="https://pytorch.org/ecosystem">Ecosystem</a></li>
             <li><a href="https://pytorch.org/blog/">Blog</a></li>
-            <li><a href="https://pytorch.org/resources">Resources</a></li>
+            <li><a href="https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md">Contributing</a></li>
           </ul>
         </div>
 
         <div class="footer-links-col">
           <ul>
-            <li class="list-title"><a href="https://pytorch.org/support">Support</a></li>
+            <li class="list-title"><a href="https://pytorch.org/resources">Resources</a></li>
             <li><a href="https://pytorch.org/tutorials">Tutorials</a></li>
             <li><a href="https://pytorch.org/docs/stable/index.html">Docs</a></li>
             <li><a href="https://discuss.pytorch.org" target="_blank">Discuss</a></li>
             <li><a href="https://github.com/pytorch/pytorch/issues" target="_blank">Github Issues</a></li>
-            <li><a href="https://pytorch.slack.com" target="_blank">Slack</a></li>
-            <li><a href="https://github.com/pytorch/pytorch/blob/master/CONTRIBUTING.md" target="_blank">Contributing</a></li>
+            <li><a href="https://pytorch.org/assets/brand-guidelines/PyTorch-Brand-Guidelines.pdf" target="_blank">Brand Guidelines</a></li>
           </ul>
         </div>
 
         <div class="footer-links-col follow-us-col">
           <ul>
-            <li class="list-title">Follow Us</li>
+            <li class="list-title">Stay Connected</li>
             <li>
               <div id="mc_embed_signup">
                 <form
@@ -548,6 +550,7 @@ <h2>Resources</h2>
           <div class="footer-social-icons">
             <a href="https://www.facebook.com/pytorch" target="_blank" class="facebook"></a>
             <a href="https://twitter.com/pytorch" target="_blank" class="twitter"></a>
+            <a href="https://www.youtube.com/pytorch" target="_blank" class="youtube"></a>
           </div>
         </div>
       </div>
@@ -635,6 +638,10 @@ <h2>Resources</h2>
       scrollToAnchor.bind();
       highlightNavigation.bind();
       mainMenuDropdown.bind();
+      filterTags.bind();
+
+      // Remove any empty p tags that Sphinx adds
+      $("[data-tags='null']").remove();
 
       // Add class to links that have code blocks, since we cannot create links in code blocks
       $("article.pytorch-article a span.pre").each(function(e) {