Generate Python docs from pytorch/pytorch@b51e024

Author: pytorchbot

docs/main/_images/RReLU.png

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docs/main/_modules/torch/__future__.html

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docs/main/_modules/torch/_jit_internal.html

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@@ -1129,7 +1129,7 @@ <h1>Source code for torch._lobpcg</h1><div class="highlight"><pre>
         <span class="n">bparams</span><span class="p">[</span><span class="s2">&quot;ortho_use_drop&quot;</span><span class="p">]</span> <span class="o">=</span> <span class="n">bparams</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="s2">&quot;ortho_use_drop&quot;</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
 
     <span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">is_scripting</span><span class="p">():</span>
-        <span class="n">LOBPCG</span><span class="o">.</span><span class="n">call_tracker</span> <span class="o">=</span> <span class="n">LOBPCG_call_tracker</span>  <span class="c1"># type: ignore[assignment]</span>
+        <span class="n">LOBPCG</span><span class="o">.</span><span class="n">call_tracker</span> <span class="o">=</span> <span class="n">LOBPCG_call_tracker</span>  <span class="c1"># type: ignore[method-assign]</span>
 
     <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">shape</span><span class="p">)</span> <span class="o">&gt;</span> <span class="mi">2</span><span class="p">:</span>
         <span class="n">N</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">prod</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">])))</span>
@@ -1153,7 +1153,7 @@ <h1>Source code for torch._lobpcg</h1><div class="highlight"><pre>
             <span class="n">bXret</span><span class="p">[</span><span class="n">i</span><span class="p">]</span> <span class="o">=</span> <span class="n">worker</span><span class="o">.</span><span class="n">X</span><span class="p">[:,</span> <span class="p">:</span><span class="n">k</span><span class="p">]</span>
 
         <span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">is_scripting</span><span class="p">():</span>
-            <span class="n">LOBPCG</span><span class="o">.</span><span class="n">call_tracker</span> <span class="o">=</span> <span class="n">LOBPCG_call_tracker_orig</span>  <span class="c1"># type: ignore[assignment]</span>
+            <span class="n">LOBPCG</span><span class="o">.</span><span class="n">call_tracker</span> <span class="o">=</span> <span class="n">LOBPCG_call_tracker_orig</span>  <span class="c1"># type: ignore[method-assign]</span>
 
         <span class="k">return</span> <span class="n">bE</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span> <span class="o">+</span> <span class="p">(</span><span class="n">k</span><span class="p">,)),</span> <span class="n">bXret</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">A</span><span class="o">.</span><span class="n">shape</span><span class="p">[:</span><span class="o">-</span><span class="mi">2</span><span class="p">]</span> <span class="o">+</span> <span class="p">(</span><span class="n">m</span><span class="p">,</span> <span class="n">k</span><span class="p">))</span>
 
@@ -1165,7 +1165,7 @@ <h1>Source code for torch._lobpcg</h1><div class="highlight"><pre>
     <span class="n">worker</span><span class="o">.</span><span class="n">run</span><span class="p">()</span>
 
     <span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">is_scripting</span><span class="p">():</span>
-        <span class="n">LOBPCG</span><span class="o">.</span><span class="n">call_tracker</span> <span class="o">=</span> <span class="n">LOBPCG_call_tracker_orig</span>  <span class="c1"># type: ignore[assignment]</span>
+        <span class="n">LOBPCG</span><span class="o">.</span><span class="n">call_tracker</span> <span class="o">=</span> <span class="n">LOBPCG_call_tracker_orig</span>  <span class="c1"># type: ignore[method-assign]</span>
 
     <span class="k">return</span> <span class="n">worker</span><span class="o">.</span><span class="n">E</span><span class="p">[:</span><span class="n">k</span><span class="p">],</span> <span class="n">worker</span><span class="o">.</span><span class="n">X</span><span class="p">[:,</span> <span class="p">:</span><span class="n">k</span><span class="p">]</span>
 

docs/main/_modules/torch/_lobpcg.html

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docs/main/_modules/torch/_logging/_internal.html

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docs/main/_modules/torch/_lowrank.html

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docs/main/_modules/torch/_tensor.html

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docs/main/_modules/torch/ao/nn/intrinsic/qat/modules/conv_fused.html

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docs/main/_modules/torch/ao/nn/intrinsic/quantized/modules/linear_relu.html

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docs/main/_modules/torch/ao/nn/quantized/modules/batchnorm.html

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docs/main/_modules/torch/ao/ns/_numeric_suite.html

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docs/main/_modules/torch/ao/ns/_numeric_suite_fx.html

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@@ -493,9 +493,9 @@ <h1>Source code for torch.ao.quantization</h1><div class="highlight"><pre>
 <span class="kn">from</span> <span class="nn">.quantize</span> <span class="kn">import</span> <span class="o">*</span>  <span class="c1"># noqa: F403</span>
 <span class="kn">from</span> <span class="nn">.quantize_jit</span> <span class="kn">import</span> <span class="o">*</span>  <span class="c1"># noqa: F403</span>
 <span class="kn">from</span> <span class="nn">.stubs</span> <span class="kn">import</span> <span class="o">*</span>  <span class="c1"># noqa: F403</span>
-<span class="kn">from</span> <span class="nn">.pt2e.eval_utils</span> <span class="kn">import</span> <span class="n">_move_exported_model_to_eval</span> <span class="k">as</span> <span class="n">move_exported_model_to_eval</span>
-<span class="kn">from</span> <span class="nn">.pt2e.eval_utils</span> <span class="kn">import</span> <span class="n">_move_exported_model_to_train</span> <span class="k">as</span> <span class="n">move_exported_model_to_train</span>
-<span class="kn">from</span> <span class="nn">.pt2e.eval_utils</span> <span class="kn">import</span> <span class="n">_allow_exported_model_train_eval</span> <span class="k">as</span> <span class="n">allow_exported_model_train_eval</span>
+<span class="kn">from</span> <span class="nn">.pt2e.export_utils</span> <span class="kn">import</span> <span class="n">_move_exported_model_to_eval</span> <span class="k">as</span> <span class="n">move_exported_model_to_eval</span>
+<span class="kn">from</span> <span class="nn">.pt2e.export_utils</span> <span class="kn">import</span> <span class="n">_move_exported_model_to_train</span> <span class="k">as</span> <span class="n">move_exported_model_to_train</span>
+<span class="kn">from</span> <span class="nn">.pt2e.export_utils</span> <span class="kn">import</span> <span class="n">_allow_exported_model_train_eval</span> <span class="k">as</span> <span class="n">allow_exported_model_train_eval</span>
 <span class="kn">from</span> <span class="nn">.pt2e.generate_numeric_debug_handle</span> <span class="kn">import</span> <span class="n">generate_numeric_debug_handle</span>  <span class="c1"># noqa: F401</span>
 <span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Union</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Callable</span><span class="p">,</span> <span class="n">Tuple</span><span class="p">,</span> <span class="n">Optional</span>
 <span class="kn">from</span> <span class="nn">torch</span> <span class="kn">import</span> <span class="n">Tensor</span>

docs/main/_modules/torch/ao/quantization.html

@@ -242,7 +242,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+git55483fc ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.3.0a0+gitb51e024 ) &#x25BC</a>
     </div>