2.2/_modules/torch/onnx.html



<!DOCTYPE html>
<!--[if IE 8]><html class="no-js lt-ie9" lang="en" > <![endif]-->
<!--[if gt IE 8]><!--> <html class="no-js" lang="en" > <!--<![endif]-->
<head>
  <meta name="robots" content="noindex">
  <meta charset="utf-8">
  
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  
  <title>torch.onnx &mdash; PyTorch 2.2 documentation</title>
  

    <link rel="canonical" href="https://pytorch.org/docs/stable/_modules/torch/onnx.html"/>
  

  <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="../../_static/pygments.css" type="text/css" />
  <link rel="stylesheet" href="../../_static/css/theme.css" type="text/css" />
  <link rel="stylesheet" href="../../_static/copybutton.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@0.13.11/dist/katex.min.css" type="text/css" />
  <link rel="stylesheet" href="../../_static/katex-math.css" type="text/css" />
  <link rel="stylesheet" href="../../_static/sphinx-dropdown.css" type="text/css" />
  <link rel="stylesheet" href="../../_static/panels-bootstrap.min.css" type="text/css" />
  <link rel="stylesheet" href="../../_static/css/jit.css" type="text/css" />
    <link rel="index" title="Index" href="../../genindex.html" />
    <link rel="search" title="Search" href="../../search.html" />


  <!-- Google Tag Manager -->
    <script>(function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':
    new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],
    j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
    'https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);
    })(window,document,'script','dataLayer','GTM-T8XT4PS');</script>
    <!-- End Google Tag Manager -->
  

  <script src="../../_static/js/modernizr.min.js"></script>

  <!-- Preload the theme fonts -->

<link rel="preload" href="../../_static/fonts/FreightSans/freight-sans-book.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="../../_static/fonts/FreightSans/freight-sans-medium.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="../../_static/fonts/IBMPlexMono/IBMPlexMono-Medium.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="../../_static/fonts/FreightSans/freight-sans-bold.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="../../_static/fonts/FreightSans/freight-sans-medium-italic.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="../../_static/fonts/IBMPlexMono/IBMPlexMono-SemiBold.woff2" as="font" type="font/woff2" crossorigin="anonymous">

<!-- Preload the katex fonts -->

<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Math-Italic.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Main-Regular.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Main-Bold.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Size1-Regular.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Size4-Regular.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Size2-Regular.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Size3-Regular.woff2" as="font" type="font/woff2" crossorigin="anonymous">
<link rel="preload" href="https://cdn.jsdelivr.net/npm/katex@0.10.0/dist/fonts/KaTeX_Caligraphic-Regular.woff2" as="font" type="font/woff2" crossorigin="anonymous">
  <link rel="stylesheet" href="https://use.fontawesome.com/releases/v5.15.2/css/all.css" integrity="sha384-vSIIfh2YWi9wW0r9iZe7RJPrKwp6bG+s9QZMoITbCckVJqGCCRhc+ccxNcdpHuYu" crossorigin="anonymous">
</head>

<div class="container-fluid header-holder tutorials-header" id="header-holder">
  <div class="container">
    <div class="header-container">
      <a class="header-logo" href="https://pytorch.org/" aria-label="PyTorch"></a>

      <div class="main-menu">
        <ul>
          <li>
            <a href="https://pytorch.org/get-started">Get Started</a>
          </li>

          <li>
            <a href="https://pytorch.org/ecosystem">Ecosystem</a>
          </li>

          <li>
          <div id="resourcesDropdownButton" data-toggle="resources-dropdown" class="resources-dropdown">
              <a class="resource-option with-down-arrow">
                Edge
              </a>
              <div class="resources-dropdown-menu">
                <a class="nav-dropdown-item" href="https://pytorch.org/edge">
                  <span class="dropdown-title">About PyTorch Edge</span>
                </a>
                <a class="nav-dropdown-item" href="https://pytorch.org/executorch">
                  <span class="dropdown-title">ExecuTorch</span>
                </a>
              </div>
            </div>  
          </li>

          <li>
            <a href="https://pytorch.org/blog/">Blog</a>
          </li>

          <li>
            <a href="https://pytorch.org/tutorials">Tutorials</a>
          </li>

          <li class="active docs-active">
            <div id="resourcesDropdownButton" data-toggle="resources-dropdown" class="resources-dropdown">
              <a class="resource-option with-down-orange-arrow">
                Docs
              </a>
              <div class="resources-dropdown-menu">
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/docs/stable/index.html">
                  <span class="dropdown-title">PyTorch</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/audio/stable/index.html">
                  <span class="dropdown-title">torchaudio</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/text/stable/index.html">
                  <span class="dropdown-title">torchtext</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/vision/stable/index.html">
                  <span class="dropdown-title">torchvision</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/torcharrow">
                  <span class="dropdown-title">torcharrow</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/data">
                  <span class="dropdown-title">TorchData</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/torchrec">
                  <span class="dropdown-title">TorchRec</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/serve/">
                  <span class="dropdown-title">TorchServe</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/torchx/">
                  <span class="dropdown-title">TorchX</span>
                  <p></p>
                </a>
                <a class="doc-dropdown-option nav-dropdown-item" href="https://pytorch.org/xla">
                  <span class="dropdown-title">PyTorch on XLA Devices</span>
                  <p></p>
                </a>
            </div>
          </li>

          <li>
            <div id="resourcesDropdownButton" data-toggle="resources-dropdown" class="resources-dropdown">
              <a class="resource-option with-down-arrow">
                Resources
              </a>
              <div class="resources-dropdown-menu">
                <a class="nav-dropdown-item" href="https://pytorch.org/features">
                  <span class="dropdown-title">About</span>
                  <p>Learn about PyTorch’s features and capabilities</p>
                </a>
                <a class="nav-dropdown-item" href="https://pytorch.org/foundation">
                  <span class="dropdown-title">PyTorch Foundation</span>
                  <p>Learn about the PyTorch foundation</p>
                </a>
                <a class="nav-dropdown-item" href="https://pytorch.org/#community-module">
                  <span class="dropdown-title">Community</span>
                  <p>Join the PyTorch developer community to contribute, learn, and get your questions answered.</p>
                </a>
                <a class="nav-dropdown-item" href="https://pytorch.org/community-stories">
                  <span class="dropdown-title">Community Stories</span>
                  <p>Learn how our community solves real, everyday machine learning problems with PyTorch.</p>
                </a>
                <a class="nav-dropdown-item" href="https://pytorch.org/resources">
                  <span class="dropdown-title">Developer Resources</span>
                  <p>Find resources and get questions answered</p>
                </a>
                <a class="nav-dropdown-item" href="https://pytorch.org/events">
                  <span class="dropdown-title">Events</span>
                  <p>Find events, webinars, and podcasts</p>
                </a>
                <a class="nav-dropdown-item" href="https://discuss.pytorch.org/" target="_blank">
                  <span class="dropdown-title">Forums</span>
                  <p>A place to discuss PyTorch code, issues, install, research</p>
                </a>
                <a class="nav-dropdown-item" href="https://pytorch.org/hub">
                  <span class="dropdown-title">Models (Beta)</span>
                  <p>Discover, publish, and reuse pre-trained models</p>
                </a>
              </div>
            </div>
          </li>

          <li>
            <a href="https://github.com/pytorch/pytorch">GitHub</a>
          </li>
        </ul>
      </div>

      <a class="main-menu-open-button" href="#" data-behavior="open-mobile-menu"></a>
    </div>
  </div>
</div>

<body class="pytorch-body">

   
    <div class="table-of-contents-link-wrapper">
      <span>Table of Contents</span>
      <a href="#" class="toggle-table-of-contents" data-behavior="toggle-table-of-contents"></a>
    </div>

    <nav data-toggle="wy-nav-shift" class="pytorch-left-menu" id="pytorch-left-menu">
      <div class="pytorch-side-scroll">
        <div class="pytorch-menu pytorch-menu-vertical" data-spy="affix" role="navigation" aria-label="main navigation">
          <div class="pytorch-left-menu-search">
            
    <div class="version">
      <a href='https://pytorch.org/docs/versions.html'>2.2 &#x25BC</a>
    </div>
    

<div role="search">
  <form id="rtd-search-form" class="wy-form" action="../../search.html" method="get">
    <input type="text" name="q" placeholder="Search Docs" />
    <input type="hidden" name="check_keywords" value="yes" />
    <input type="hidden" name="area" value="default" />
  </form>
</div>

          </div>

          
              <p class="caption" role="heading"><span class="caption-text">Community</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../community/build_ci_governance.html">PyTorch Governance | Build + CI</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../community/contribution_guide.html">PyTorch Contribution Guide</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../community/design.html">PyTorch Design Philosophy</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../community/governance.html">PyTorch Governance | Mechanics</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../community/persons_of_interest.html">PyTorch Governance | Maintainers</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Developer Notes</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../notes/amp_examples.html">CUDA 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/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/extending.func.html">Extending torch.func with autograd.Function</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/gradcheck.html">Gradcheck mechanics</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../notes/hip.html">HIP (ROCm) semantics</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/modules.html">Modules</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../notes/mps.html">MPS backend</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/numerical_accuracy.html">Numerical accuracy</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/serialization.html">Serialization semantics</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../notes/windows.html">Windows FAQ</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Language Bindings</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../cpp_index.html">C++</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="../../deploy.html">torch::deploy</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Python API</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../torch.html">torch</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../nn.html">torch.nn</a></li>
<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="../../amp.html">torch.amp</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="../../library.html">torch.library</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../cpu.html">torch.cpu</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="../../torch_cuda_memory.html">Understanding CUDA Memory Usage</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../torch_cuda_memory.html#generating-a-snapshot">Generating a Snapshot</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../torch_cuda_memory.html#using-the-visualizer">Using the visualizer</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../torch_cuda_memory.html#snapshot-api-reference">Snapshot API Reference</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../mps.html">torch.mps</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../backends.html">torch.backends</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../export.html">torch.export</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="../../distributed.algorithms.join.html">torch.distributed.algorithms.join</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../distributed.elastic.html">torch.distributed.elastic</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../fsdp.html">torch.distributed.fsdp</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../distributed.optim.html">torch.distributed.optim</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../distributed.tensor.parallel.html">torch.distributed.tensor.parallel</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../distributed.checkpoint.html">torch.distributed.checkpoint</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="../../torch.compiler.html">torch.compiler</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../fft.html">torch.fft</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../func.html">torch.func</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../futures.html">torch.futures</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../fx.html">torch.fx</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../hub.html">torch.hub</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../jit.html">torch.jit</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../linalg.html">torch.linalg</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../monitor.html">torch.monitor</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../signal.html">torch.signal</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../special.html">torch.special</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../torch.overrides.html">torch.overrides</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../package.html">torch.package</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../profiler.html">torch.profiler</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../nn.init.html">torch.nn.init</a></li>
<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="../../complex_numbers.html">Complex Numbers</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../ddp_comm_hooks.html">DDP Communication Hooks</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../pipeline.html">Pipeline Parallelism</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="../../random.html">torch.random</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../masked.html">torch.masked</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../nested.html">torch.nested</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>
<li class="toctree-l1"><a class="reference internal" href="../../testing.html">torch.testing</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../utils.html">torch.utils</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../benchmark_utils.html">torch.utils.benchmark</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../bottleneck.html">torch.utils.bottleneck</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../checkpoint.html">torch.utils.checkpoint</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../cpp_extension.html">torch.utils.cpp_extension</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../data.html">torch.utils.data</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../deterministic.html">torch.utils.deterministic</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../jit_utils.html">torch.utils.jit</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../dlpack.html">torch.utils.dlpack</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../mobile_optimizer.html">torch.utils.mobile_optimizer</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../model_zoo.html">torch.utils.model_zoo</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../tensorboard.html">torch.utils.tensorboard</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../type_info.html">Type Info</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../named_tensor.html">Named Tensors</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../name_inference.html">Named Tensors operator coverage</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../config_mod.html">torch.__config__</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../logging.html">torch._logging</a></li>
</ul>
<p class="caption" role="heading"><span class="caption-text">Libraries</span></p>
<ul>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/audio/stable">torchaudio</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/data">TorchData</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/torchrec">TorchRec</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="https://pytorch.org/text/stable">torchtext</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/vision/stable">torchvision</a></li>
<li class="toctree-l1"><a class="reference external" href="https://pytorch.org/xla/">PyTorch on XLA Devices</a></li>
</ul>

            
        </div>
      </div>
    </nav>

    <div class="pytorch-container">
      <div class="pytorch-page-level-bar" id="pytorch-page-level-bar">
        <div class="pytorch-breadcrumbs-wrapper">
          

<div role="navigation" aria-label="breadcrumbs navigation">

  <ul class="pytorch-breadcrumbs">
    
      <li>
        <a href="../../index.html">
          
            Docs
          
        </a> &gt;
      </li>

        
          <li><a href="../index.html">Module code</a> &gt;</li>
        
          <li><a href="../torch.html">torch</a> &gt;</li>
        
      <li>torch.onnx</li>
    
    
      <li class="pytorch-breadcrumbs-aside">
        
      </li>
    
  </ul>

  
</div>
        </div>

        <div class="pytorch-shortcuts-wrapper" id="pytorch-shortcuts-wrapper">
          Shortcuts
        </div>
      </div>

      <section data-toggle="wy-nav-shift" id="pytorch-content-wrap" class="pytorch-content-wrap">
        <div class="pytorch-content-left">

        
          <!-- Google Tag Manager (noscript) -->
          <noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-T8XT4PS"
          height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>
          <!-- End Google Tag Manager (noscript) -->
          
          <div class="rst-content">
          
            <div role="main" class="main-content" itemscope="itemscope" itemtype="http://schema.org/Article">
             <article itemprop="articleBody" id="pytorch-article" class="pytorch-article">
              
  <h1>Source code for torch.onnx</h1><div class="highlight"><pre>
<span></span><span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">_C</span>
<span class="kn">from</span> <span class="nn">torch._C</span> <span class="kn">import</span> <span class="n">_onnx</span> <span class="k">as</span> <span class="n">_C_onnx</span>
<span class="kn">from</span> <span class="nn">torch._C._onnx</span> <span class="kn">import</span> <span class="p">(</span>
    <span class="n">_CAFFE2_ATEN_FALLBACK</span><span class="p">,</span>
    <span class="n">OperatorExportTypes</span><span class="p">,</span>
    <span class="n">TensorProtoDataType</span><span class="p">,</span>
    <span class="n">TrainingMode</span><span class="p">,</span>
<span class="p">)</span>

<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="p">(</span>  <span class="c1"># usort:skip. Keep the order instead of sorting lexicographically</span>
    <span class="n">_deprecation</span><span class="p">,</span>
    <span class="n">errors</span><span class="p">,</span>
    <span class="n">symbolic_caffe2</span><span class="p">,</span>
    <span class="n">symbolic_helper</span><span class="p">,</span>
    <span class="n">symbolic_opset7</span><span class="p">,</span>
    <span class="n">symbolic_opset8</span><span class="p">,</span>
    <span class="n">symbolic_opset9</span><span class="p">,</span>
    <span class="n">symbolic_opset10</span><span class="p">,</span>
    <span class="n">symbolic_opset11</span><span class="p">,</span>
    <span class="n">symbolic_opset12</span><span class="p">,</span>
    <span class="n">symbolic_opset13</span><span class="p">,</span>
    <span class="n">symbolic_opset14</span><span class="p">,</span>
    <span class="n">symbolic_opset15</span><span class="p">,</span>
    <span class="n">symbolic_opset16</span><span class="p">,</span>
    <span class="n">symbolic_opset17</span><span class="p">,</span>
    <span class="n">symbolic_opset18</span><span class="p">,</span>
    <span class="n">utils</span><span class="p">,</span>
<span class="p">)</span>

<span class="c1"># TODO(After 1.13 release): Remove the deprecated SymbolicContext</span>
<span class="kn">from</span> <span class="nn">._exporter_states</span> <span class="kn">import</span> <span class="n">ExportTypes</span><span class="p">,</span> <span class="n">SymbolicContext</span>
<span class="kn">from</span> <span class="nn">._type_utils</span> <span class="kn">import</span> <span class="n">JitScalarType</span>
<span class="kn">from</span> <span class="nn">.errors</span> <span class="kn">import</span> <span class="n">CheckerError</span>  <span class="c1"># Backwards compatibility</span>
<span class="kn">from</span> <span class="nn">.utils</span> <span class="kn">import</span> <span class="p">(</span>
    <span class="n">_optimize_graph</span><span class="p">,</span>
    <span class="n">_run_symbolic_function</span><span class="p">,</span>
    <span class="n">_run_symbolic_method</span><span class="p">,</span>
    <span class="n">export</span><span class="p">,</span>
    <span class="n">export_to_pretty_string</span><span class="p">,</span>
    <span class="n">is_in_onnx_export</span><span class="p">,</span>
    <span class="n">register_custom_op_symbolic</span><span class="p">,</span>
    <span class="n">select_model_mode_for_export</span><span class="p">,</span>
    <span class="n">unregister_custom_op_symbolic</span><span class="p">,</span>
<span class="p">)</span>

<span class="kn">from</span> <span class="nn">._internal.exporter</span> <span class="kn">import</span> <span class="p">(</span>  <span class="c1"># usort:skip. needs to be last to avoid circular import</span>
    <span class="n">DiagnosticOptions</span><span class="p">,</span>
    <span class="n">ExportOptions</span><span class="p">,</span>
    <span class="n">ONNXProgram</span><span class="p">,</span>
    <span class="n">ONNXProgramSerializer</span><span class="p">,</span>
    <span class="n">ONNXRuntimeOptions</span><span class="p">,</span>
    <span class="n">InvalidExportOptionsError</span><span class="p">,</span>
    <span class="n">OnnxExporterError</span><span class="p">,</span>
    <span class="n">OnnxRegistry</span><span class="p">,</span>
    <span class="n">dynamo_export</span><span class="p">,</span>
    <span class="n">enable_fake_mode</span><span class="p">,</span>
<span class="p">)</span>

<span class="kn">from</span> <span class="nn">._internal.onnxruntime</span> <span class="kn">import</span> <span class="p">(</span>
    <span class="n">is_onnxrt_backend_supported</span><span class="p">,</span>
    <span class="n">OrtBackend</span> <span class="k">as</span> <span class="n">_OrtBackend</span><span class="p">,</span>
    <span class="n">OrtBackendOptions</span> <span class="k">as</span> <span class="n">_OrtBackendOptions</span><span class="p">,</span>
    <span class="n">OrtExecutionProvider</span> <span class="k">as</span> <span class="n">_OrtExecutionProvider</span><span class="p">,</span>
<span class="p">)</span>

<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
    <span class="c1"># Modules</span>
    <span class="s2">&quot;symbolic_helper&quot;</span><span class="p">,</span>
    <span class="s2">&quot;utils&quot;</span><span class="p">,</span>
    <span class="s2">&quot;errors&quot;</span><span class="p">,</span>
    <span class="c1"># All opsets</span>
    <span class="s2">&quot;symbolic_caffe2&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset7&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset8&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset9&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset10&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset11&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset12&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset13&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset14&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset15&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset16&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset17&quot;</span><span class="p">,</span>
    <span class="s2">&quot;symbolic_opset18&quot;</span><span class="p">,</span>
    <span class="c1"># Enums</span>
    <span class="s2">&quot;ExportTypes&quot;</span><span class="p">,</span>
    <span class="s2">&quot;OperatorExportTypes&quot;</span><span class="p">,</span>
    <span class="s2">&quot;TrainingMode&quot;</span><span class="p">,</span>
    <span class="s2">&quot;TensorProtoDataType&quot;</span><span class="p">,</span>
    <span class="s2">&quot;JitScalarType&quot;</span><span class="p">,</span>
    <span class="c1"># Public functions</span>
    <span class="s2">&quot;export&quot;</span><span class="p">,</span>
    <span class="s2">&quot;export_to_pretty_string&quot;</span><span class="p">,</span>
    <span class="s2">&quot;is_in_onnx_export&quot;</span><span class="p">,</span>
    <span class="s2">&quot;select_model_mode_for_export&quot;</span><span class="p">,</span>
    <span class="s2">&quot;register_custom_op_symbolic&quot;</span><span class="p">,</span>
    <span class="s2">&quot;unregister_custom_op_symbolic&quot;</span><span class="p">,</span>
    <span class="s2">&quot;disable_log&quot;</span><span class="p">,</span>
    <span class="s2">&quot;enable_log&quot;</span><span class="p">,</span>
    <span class="c1"># Errors</span>
    <span class="s2">&quot;CheckerError&quot;</span><span class="p">,</span>  <span class="c1"># Backwards compatibility</span>
    <span class="c1"># Dynamo Exporter</span>
    <span class="s2">&quot;DiagnosticOptions&quot;</span><span class="p">,</span>
    <span class="s2">&quot;ExportOptions&quot;</span><span class="p">,</span>
    <span class="s2">&quot;ONNXProgram&quot;</span><span class="p">,</span>
    <span class="s2">&quot;ONNXProgramSerializer&quot;</span><span class="p">,</span>
    <span class="s2">&quot;ONNXRuntimeOptions&quot;</span><span class="p">,</span>
    <span class="s2">&quot;InvalidExportOptionsError&quot;</span><span class="p">,</span>
    <span class="s2">&quot;OnnxExporterError&quot;</span><span class="p">,</span>
    <span class="s2">&quot;OnnxRegistry&quot;</span><span class="p">,</span>
    <span class="s2">&quot;dynamo_export&quot;</span><span class="p">,</span>
    <span class="s2">&quot;enable_fake_mode&quot;</span><span class="p">,</span>
    <span class="c1"># DORT / torch.compile</span>
    <span class="s2">&quot;is_onnxrt_backend_supported&quot;</span><span class="p">,</span>
<span class="p">]</span>

<span class="c1"># Set namespace for exposed private names</span>
<span class="n">ExportTypes</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">JitScalarType</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">ExportOptions</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">ONNXProgram</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">ONNXProgramSerializer</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">ONNXRuntimeOptions</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">dynamo_export</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">InvalidExportOptionsError</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">OnnxExporterError</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">enable_fake_mode</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">OnnxRegistry</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">DiagnosticOptions</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">is_onnxrt_backend_supported</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">_OrtExecutionProvider</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">_OrtBackendOptions</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>
<span class="n">_OrtBackend</span><span class="o">.</span><span class="vm">__module__</span> <span class="o">=</span> <span class="s2">&quot;torch.onnx&quot;</span>

<span class="n">producer_name</span> <span class="o">=</span> <span class="s2">&quot;pytorch&quot;</span>
<span class="n">producer_version</span> <span class="o">=</span> <span class="n">_C_onnx</span><span class="o">.</span><span class="n">PRODUCER_VERSION</span>


<span class="nd">@_deprecation</span><span class="o">.</span><span class="n">deprecated</span><span class="p">(</span>
    <span class="n">since</span><span class="o">=</span><span class="s2">&quot;1.12.0&quot;</span><span class="p">,</span> <span class="n">removed_in</span><span class="o">=</span><span class="s2">&quot;2.0&quot;</span><span class="p">,</span> <span class="n">instructions</span><span class="o">=</span><span class="s2">&quot;use `torch.onnx.export` instead&quot;</span>
<span class="p">)</span>
<span class="k">def</span> <span class="nf">_export</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
    <span class="k">return</span> <span class="n">utils</span><span class="o">.</span><span class="n">_export</span><span class="p">(</span><span class="o">*</span><span class="n">args</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>


<span class="c1"># TODO(justinchuby): Deprecate these logging functions in favor of the new diagnostic module.</span>

<span class="c1"># Returns True iff ONNX logging is turned on.</span>
<span class="n">is_onnx_log_enabled</span> <span class="o">=</span> <span class="n">_C</span><span class="o">.</span><span class="n">_jit_is_onnx_log_enabled</span>


<div class="viewcode-block" id="enable_log"><a class="viewcode-back" href="../../onnx_torchscript.html#torch.onnx.enable_log">[docs]</a><span class="k">def</span> <span class="nf">enable_log</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Enables ONNX logging.&quot;&quot;&quot;</span>
    <span class="n">_C</span><span class="o">.</span><span class="n">_jit_set_onnx_log_enabled</span><span class="p">(</span><span class="kc">True</span><span class="p">)</span></div>


<div class="viewcode-block" id="disable_log"><a class="viewcode-back" href="../../onnx_torchscript.html#torch.onnx.disable_log">[docs]</a><span class="k">def</span> <span class="nf">disable_log</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
<span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Disables ONNX logging.&quot;&quot;&quot;</span>
    <span class="n">_C</span><span class="o">.</span><span class="n">_jit_set_onnx_log_enabled</span><span class="p">(</span><span class="kc">False</span><span class="p">)</span></div>


<span class="sd">&quot;&quot;&quot;Sets output stream for ONNX logging.</span>

<span class="sd">Args:</span>
<span class="sd">    stream_name (str, default &quot;stdout&quot;): Only &#39;stdout&#39; and &#39;stderr&#39; are supported</span>
<span class="sd">        as ``stream_name``.</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="n">set_log_stream</span> <span class="o">=</span> <span class="n">_C</span><span class="o">.</span><span class="n">_jit_set_onnx_log_output_stream</span>


<span class="sd">&quot;&quot;&quot;A simple logging facility for ONNX exporter.</span>

<span class="sd">Args:</span>
<span class="sd">    args: Arguments are converted to string, concatenated together with a newline</span>
<span class="sd">        character appended to the end, and flushed to output stream.</span>
<span class="sd">&quot;&quot;&quot;</span>
<span class="n">log</span> <span class="o">=</span> <span class="n">_C</span><span class="o">.</span><span class="n">_jit_onnx_log</span>
</pre></div>

             </article>
             
            </div>
            <footer>
  

    <hr>

  
  <div role="contentinfo">
    <p>
        &copy; Copyright 2023, PyTorch Contributors.

    </p>
  </div>
    
      <div>
        Built with <a href="http://sphinx-doc.org/">Sphinx</a> using a <a href="https://github.com/rtfd/sphinx_rtd_theme">theme</a> provided by <a href="https://readthedocs.org">Read the Docs</a>.
      </div>
     

</footer>

          </div>
<script>

var match = window.location.href.match(/\/_[a-zA-Z0-9_]*.html|_dynamo/gi);
var url = window.location.href.lastIndexOf(match[match.length-1]);

if (url)
  {
    var div = '<div class="admonition note"><p class="admonition-title">Note</p><p><i class="fa fa-exclamation-circle" aria-hidden="true">&nbsp</i> This page describes an internal API which is not intended to be used outside of the PyTorch codebase and can be modified or removed without notice.</p></div>'
    document.getElementById("pytorch-article").insertAdjacentHTML('afterBegin', div)
  }
</script>
        </div>

        <div class="pytorch-content-right" id="pytorch-content-right">
          <div class="pytorch-right-menu" id="pytorch-right-menu">
            <div class="pytorch-side-scroll" id="pytorch-side-scroll-right">
              
            </div>
          </div>
        </div>
      </section>
    </div>

  
       <script type="text/javascript" id="documentation_options" data-url_root="../../" src="../../_static/documentation_options.js"></script>
         <script data-url_root="../../" id="documentation_options" src="../../_static/documentation_options.js"></script>
         <script src="../../_static/jquery.js"></script>
         <script src="../../_static/underscore.js"></script>
         <script src="../../_static/_sphinx_javascript_frameworks_compat.js"></script>
         <script src="../../_static/doctools.js"></script>
         <script src="../../_static/sphinx_highlight.js"></script>
         <script src="../../_static/clipboard.min.js"></script>
         <script src="../../_static/copybutton.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">
      jQuery(function () {
          SphinxRtdTheme.Navigation.enable(true);
      });
  </script>
 
<script script type="text/javascript">
  var collapsedSections = ['Developer Notes', 'Language Bindings', 'Libraries', 'Community'];
</script>

<img height="1" width="1" style="border-style:none;" alt="" src="https://www.googleadservices.com/pagead/conversion/795629140/?label=txkmCPmdtosBENSssfsC&amp;guid=ON&amp;script=0"/>


  <!-- Begin Footer -->

  <div class="container-fluid docs-tutorials-resources" id="docs-tutorials-resources">
    <div class="container">
      <div class="row">
        <div class="col-md-4 text-center">
          <h2>Docs</h2>
          <p>Access comprehensive developer documentation for PyTorch</p>
          <a class="with-right-arrow" href="https://pytorch.org/docs/stable/index.html">View Docs</a>
        </div>

        <div class="col-md-4 text-center">
          <h2>Tutorials</h2>
          <p>Get in-depth tutorials for beginners and advanced developers</p>
          <a class="with-right-arrow" href="https://pytorch.org/tutorials">View Tutorials</a>
        </div>

        <div class="col-md-4 text-center">
          <h2>Resources</h2>
          <p>Find development resources and get your questions answered</p>
          <a class="with-right-arrow" href="https://pytorch.org/resources">View Resources</a>
        </div>
      </div>
    </div>
  </div>

  <footer class="site-footer">
    <div class="container footer-container">
      <div class="footer-logo-wrapper">
        <a href="https://pytorch.org/" class="footer-logo"></a>
      </div>

      <div class="footer-links-wrapper">
        <div class="footer-links-col">
          <ul>
            <li class="list-title"><a href="https://pytorch.org/">PyTorch</a></li>
            <li><a href="https://pytorch.org/get-started">Get Started</a></li>
            <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://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/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.org/assets/brand-guidelines/PyTorch-Brand-Guidelines.pdf" target="_blank">Brand Guidelines</a></li>
          </ul>
        </div>

        <div class="footer-links-col">
          <ul>
            <li class="list-title">Stay up to date</li>
            <li><a href="https://www.facebook.com/pytorch" target="_blank">Facebook</a></li>
            <li><a href="https://twitter.com/pytorch" target="_blank">Twitter</a></li>
            <li><a href="https://www.youtube.com/pytorch" target="_blank">YouTube</a></li>
            <li><a href="https://www.linkedin.com/company/pytorch" target="_blank">LinkedIn</a></li>
          </ul>  
          </div>

        <div class="footer-links-col">
          <ul>
            <li class="list-title">PyTorch Podcasts</li>
            <li><a href="https://open.spotify.com/show/6UzHKeiy368jKfQMKKvJY5" target="_blank">Spotify</a></li>
            <li><a href="https://podcasts.apple.com/us/podcast/pytorch-developer-podcast/id1566080008" target="_blank">Apple</a></li>
            <li><a href="https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5zaW1wbGVjYXN0LmNvbS9PQjVGa0lsOA%3D%3D" target="_blank">Google</a></li>
            <li><a href="https://music.amazon.com/podcasts/7a4e6f0e-26c2-49e9-a478-41bd244197d0/PyTorch-Developer-Podcast?" target="_blank">Amazon</a></li>
          </ul>
         </div>
        </div>
        
        <div class="privacy-policy">
          <ul>
            <li class="privacy-policy-links"><a href="https://www.linuxfoundation.org/terms/" target="_blank">Terms</a></li>
            <li class="privacy-policy-links">|</li>
            <li class="privacy-policy-links"><a href="https://www.linuxfoundation.org/privacy-policy/" target="_blank">Privacy</a></li>
          </ul>
        </div>
        <div class="copyright">
        <p>© Copyright The Linux Foundation. The PyTorch Foundation is a project of The Linux Foundation.
          For web site terms of use, trademark policy and other policies applicable to The PyTorch Foundation please see
          <a href="https://www.linuxfoundation.org/policies/">www.linuxfoundation.org/policies/</a>. The PyTorch Foundation supports the PyTorch open source
          project, which has been established as PyTorch Project a Series of LF Projects, LLC. For policies applicable to the PyTorch Project a Series of LF Projects, LLC,
          please see <a href="https://www.lfprojects.org/policies/">www.lfprojects.org/policies/</a>.</p>
      </div>
     </div>

  </footer>

  <div class="cookie-banner-wrapper">
  <div class="container">
    <p class="gdpr-notice">To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to allow our usage of cookies. As the current maintainers of this site, Facebook’s Cookies Policy applies. Learn more, including about available controls: <a href="https://www.facebook.com/policies/cookies/">Cookies Policy</a>.</p>
    <img class="close-button" src="../../_static/images/pytorch-x.svg">
  </div>
</div>

  <!-- End Footer -->

  <!-- Begin Mobile Menu -->

  <div class="mobile-main-menu">
    <div class="container-fluid">
      <div class="container">
        <div class="mobile-main-menu-header-container">
          <a class="header-logo" href="https://pytorch.org/" aria-label="PyTorch"></a>
          <a class="main-menu-close-button" href="#" data-behavior="close-mobile-menu"></a>
        </div>
      </div>
    </div>

    <div class="mobile-main-menu-links-container">
      <div class="main-menu">
        <ul>
          <li>
            <a href="https://pytorch.org/get-started">Get Started</a>
          </li>

          <li>
            <a href="https://pytorch.org/ecosystem">Ecosystem</a>
          </li>
            
          <li>
            <a href="">Mobile</a>
          </li>

          <li>
            <a href="https://pytorch.org/blog/">Blog</a>
          </li>

          <li>
            <a href="https://pytorch.org/tutorials">Tutorials</a>
          </li>

          <li class="resources-mobile-menu-title" class="active">
            Docs
          </li>

          <ul class="resources-mobile-menu-items">
            <li>
              <a href="https://pytorch.org/docs/stable/index.html">PyTorch</a>
            </li>

            <li>
              <a href="https://pytorch.org/audio/stable/index.html">torchaudio</a>
            </li>

            <li>
              <a href="https://pytorch.org/text/stable/index.html">torchtext</a>
            </li>

            <li>
              <a href="https://pytorch.org/vision/stable/index.html">torchvision</a>
            </li>

            <li>
              <a href="https://pytorch.org/torcharrow">torcharrow</a>
            </li>

            <li>
              <a href="https://pytorch.org/data">TorchData</a>
            </li>

            <li>
              <a href="https://pytorch.org/torchrec">TorchRec</a>
            </li>

            <li>
              <a href="https://pytorch.org/serve/">TorchServe</a>
            </li>

            <li>
              <a href="https://pytorch.org/torchx/">TorchX</a>
            </li>

            <li>
              <a href="https://pytorch.org/xla">PyTorch on XLA Devices</a>
            </li>
          </ul>

          <li class="resources-mobile-menu-title">
            Resources
          </li>
            
           <ul class="resources-mobile-menu-items">

            <li>
              <a href="https://pytorch.org/features">About</a>
            </li>

            <li>
              <a href="https://pytorch.org/foundation">PyTorch Foundation</a>
            </li>

            <li>
              <a href="https://pytorch.org/#community-module">Community</a>
            </li>

            <li>
              <a href="https://pytorch.org/community-stories">Community Stories</a>
            </li>

            <li>
              <a href="https://pytorch.org/resources">Developer Resources</a>
            </li>

            <li>
              <a href="https://pytorch.org/events">Events</a>
            </li>

            <li>
              <a href="https://discuss.pytorch.org/">Forums</a>
            </li>

            <li>
              <a href="https://pytorch.org/hub">Models (Beta)</a>
            </li>
          </ul>

          <li>
            <a href="https://github.com/pytorch/pytorch">Github</a>
          </li>
        </ul>
      </div>
    </div>
  </div>

  <!-- End Mobile Menu -->

  <script type="text/javascript" src="../../_static/js/vendor/anchor.min.js"></script>

  <script type="text/javascript">
    $(document).ready(function() {
      mobileMenu.bind();
      mobileTOC.bind();
      pytorchAnchors.bind();
      sideMenus.bind();
      scrollToAnchor.bind();
      highlightNavigation.bind();
      mainMenuDropdown.bind();
      filterTags.bind();

      // 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) {
        $(this).closest("a").addClass("has-code");
      });
    })
  </script>
</body>
</html>