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4 changes: 2 additions & 2 deletions main/_modules/index.html
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<div class="pytorch-left-menu-search">

<div class="version">
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+gitc1cd946 ) &#x25BC</a>
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+git9ebec1f ) &#x25BC</a>
</div>


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</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/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>
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9 changes: 4 additions & 5 deletions main/_modules/torch.html
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<div class="pytorch-left-menu-search">

<div class="version">
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+gitc1cd946 ) &#x25BC</a>
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+git9ebec1f ) &#x25BC</a>
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</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/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>
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<span class="n">set_grad_enabled</span> <span class="k">as</span> <span class="n">set_grad_enabled</span><span class="p">,</span>
<span class="p">)</span>

<span class="kn">import</span> <span class="nn">torch.utils.backcompat</span>
<span class="kn">import</span> <span class="nn">torch.utils.data</span>
<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">__config__</span> <span class="k">as</span> <span class="n">__config__</span><span class="p">,</span>
<span class="n">__future__</span> <span class="k">as</span> <span class="n">__future__</span><span class="p">,</span>
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<span class="n">special</span> <span class="k">as</span> <span class="n">special</span><span class="p">,</span>
<span class="n">testing</span> <span class="k">as</span> <span class="n">testing</span><span class="p">,</span>
<span class="n">types</span> <span class="k">as</span> <span class="n">types</span><span class="p">,</span>
<span class="n">utils</span> <span class="k">as</span> <span class="n">utils</span><span class="p">,</span>
<span class="n">xpu</span> <span class="k">as</span> <span class="n">xpu</span><span class="p">,</span>
<span class="p">)</span>
<span class="kn">from</span> <span class="nn">torch.signal</span> <span class="kn">import</span> <span class="n">windows</span> <span class="k">as</span> <span class="n">windows</span>
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<span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">export</span> <span class="k">as</span> <span class="n">export</span>

<span class="kn">from</span> <span class="nn">torch._higher_order_ops</span> <span class="kn">import</span> <span class="n">cond</span> <span class="k">as</span> <span class="n">cond</span>
<span class="kn">from</span> <span class="nn">torch._higher_order_ops</span> <span class="kn">import</span> <span class="n">cond</span><span class="p">,</span> <span class="n">while_loop</span>


<span class="k">def</span> <span class="nf">_register_device_module</span><span class="p">(</span><span class="n">device_type</span><span class="p">,</span> <span class="n">module</span><span class="p">):</span>
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<div class="pytorch-left-menu-search">

<div class="version">
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+gitc1cd946 ) &#x25BC</a>
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+git9ebec1f ) &#x25BC</a>
</div>


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</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/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>
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<div class="pytorch-left-menu-search">

<div class="version">
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+gitc1cd946 ) &#x25BC</a>
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</div>


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</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/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>
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<div class="pytorch-left-menu-search">

<div class="version">
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+gitc1cd946 ) &#x25BC</a>
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</div>


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</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/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>
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<div class="version">
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</div>


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</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/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>
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<div class="pytorch-left-menu-search">

<div class="version">
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+gitc1cd946 ) &#x25BC</a>
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+git9ebec1f ) &#x25BC</a>
</div>


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</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/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>
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<div class="pytorch-left-menu-search">

<div class="version">
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+gitc1cd946 ) &#x25BC</a>
<a href='https://pytorch.org/docs/versions.html'>main (2.5.0a0+git9ebec1f ) &#x25BC</a>
</div>


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</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/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>
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