Merge branch 'pytorch:site' into 8-2

Author: cjyabraham

docs/main/_images/RReLU.png

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/index.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 
@@ -618,7 +618,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 
 
 <span class="c1"># See Note [Global dependencies]</span>
-<span class="k">def</span> <span class="nf">_load_global_deps</span><span class="p">():</span>
+<span class="k">def</span> <span class="nf">_load_global_deps</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
     <span class="k">if</span> <span class="n">_running_with_deploy</span><span class="p">()</span> <span class="ow">or</span> <span class="n">platform</span><span class="o">.</span><span class="n">system</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;Windows&#39;</span><span class="p">:</span>
         <span class="k">return</span>
 
@@ -1116,7 +1116,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">_C</span><span class="o">.</span><span class="n">_set_default_dtype</span><span class="p">(</span><span class="n">d</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="use_deterministic_algorithms"><a class="viewcode-back" href="../generated/torch.use_deterministic_algorithms.html#torch.use_deterministic_algorithms">[docs]</a><span class="k">def</span> <span class="nf">use_deterministic_algorithms</span><span class="p">(</span><span class="n">mode</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">warn_only</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
+<div class="viewcode-block" id="use_deterministic_algorithms"><a class="viewcode-back" href="../generated/torch.use_deterministic_algorithms.html#torch.use_deterministic_algorithms">[docs]</a><span class="k">def</span> <span class="nf">use_deterministic_algorithms</span><span class="p">(</span><span class="n">mode</span><span class="p">:</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span> <span class="n">warn_only</span><span class="p">:</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span> <span class="o">=</span> <span class="kc">False</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; Sets whether PyTorch operations must use &quot;deterministic&quot;</span>
 <span class="sd">    algorithms. That is, algorithms which, given the same input, and when</span>
 <span class="sd">    run on the same software and hardware, always produce the same output.</span>
@@ -1256,13 +1256,13 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">_C</span><span class="o">.</span><span class="n">_set_deterministic_algorithms</span><span class="p">(</span><span class="n">mode</span><span class="p">,</span> <span class="n">warn_only</span><span class="o">=</span><span class="n">warn_only</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="are_deterministic_algorithms_enabled"><a class="viewcode-back" href="../generated/torch.are_deterministic_algorithms_enabled.html#torch.are_deterministic_algorithms_enabled">[docs]</a><span class="k">def</span> <span class="nf">are_deterministic_algorithms_enabled</span><span class="p">():</span>
+<div class="viewcode-block" id="are_deterministic_algorithms_enabled"><a class="viewcode-back" href="../generated/torch.are_deterministic_algorithms_enabled.html#torch.are_deterministic_algorithms_enabled">[docs]</a><span class="k">def</span> <span class="nf">are_deterministic_algorithms_enabled</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
 <span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns True if the global deterministic flag is turned on. Refer to</span>
 <span class="sd">    :func:`torch.use_deterministic_algorithms` documentation for more details.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_get_deterministic_algorithms</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="is_deterministic_algorithms_warn_only_enabled"><a class="viewcode-back" href="../generated/torch.is_deterministic_algorithms_warn_only_enabled.html#torch.is_deterministic_algorithms_warn_only_enabled">[docs]</a><span class="k">def</span> <span class="nf">is_deterministic_algorithms_warn_only_enabled</span><span class="p">():</span>
+<div class="viewcode-block" id="is_deterministic_algorithms_warn_only_enabled"><a class="viewcode-back" href="../generated/torch.is_deterministic_algorithms_warn_only_enabled.html#torch.is_deterministic_algorithms_warn_only_enabled">[docs]</a><span class="k">def</span> <span class="nf">is_deterministic_algorithms_warn_only_enabled</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
 <span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns True if the global deterministic flag is set to warn only.</span>
 <span class="sd">    Refer to :func:`torch.use_deterministic_algorithms` documentation for more</span>
 <span class="sd">    details.</span>
@@ -1331,7 +1331,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_get_float32_matmul_precision</span><span class="p">()</span></div>
 
-<div class="viewcode-block" id="set_float32_matmul_precision"><a class="viewcode-back" href="../generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision">[docs]</a><span class="k">def</span> <span class="nf">set_float32_matmul_precision</span><span class="p">(</span><span class="n">precision</span><span class="p">):</span>
+<div class="viewcode-block" id="set_float32_matmul_precision"><a class="viewcode-back" href="../generated/torch.set_float32_matmul_precision.html#torch.set_float32_matmul_precision">[docs]</a><span class="k">def</span> <span class="nf">set_float32_matmul_precision</span><span class="p">(</span><span class="n">precision</span><span class="p">:</span> <span class="nb">str</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;Sets the internal precision of float32 matrix multiplications.</span>
 
 <span class="sd">    Running float32 matrix multiplications in lower precision may significantly increase</span>
@@ -1376,7 +1376,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">_C</span><span class="o">.</span><span class="n">_set_float32_matmul_precision</span><span class="p">(</span><span class="n">precision</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="set_warn_always"><a class="viewcode-back" href="../generated/torch.set_warn_always.html#torch.set_warn_always">[docs]</a><span class="k">def</span> <span class="nf">set_warn_always</span><span class="p">(</span><span class="n">b</span><span class="p">):</span>
+<div class="viewcode-block" id="set_warn_always"><a class="viewcode-back" href="../generated/torch.set_warn_always.html#torch.set_warn_always">[docs]</a><span class="k">def</span> <span class="nf">set_warn_always</span><span class="p">(</span><span class="n">b</span><span class="p">:</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</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;When this flag is False (default) then some PyTorch warnings may only</span>
 <span class="sd">    appear once per process. This helps avoid excessive warning information.</span>
 <span class="sd">    Setting it to True causes these warnings to always appear, which may be</span>
@@ -1388,7 +1388,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">    &quot;&quot;&quot;</span>
     <span class="n">_C</span><span class="o">.</span><span class="n">_set_warnAlways</span><span class="p">(</span><span class="n">b</span><span class="p">)</span></div>
 
-<div class="viewcode-block" id="is_warn_always_enabled"><a class="viewcode-back" href="../generated/torch.is_warn_always_enabled.html#torch.is_warn_always_enabled">[docs]</a><span class="k">def</span> <span class="nf">is_warn_always_enabled</span><span class="p">():</span>
+<div class="viewcode-block" id="is_warn_always_enabled"><a class="viewcode-back" href="../generated/torch.is_warn_always_enabled.html#torch.is_warn_always_enabled">[docs]</a><span class="k">def</span> <span class="nf">is_warn_always_enabled</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
 <span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns True if the global warn_always flag is turned on. Refer to</span>
 <span class="sd">    :func:`torch.set_warn_always` documentation for more details.</span>
 <span class="sd">    &quot;&quot;&quot;</span>
@@ -1896,7 +1896,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="k">del</span> <span class="n">_torch_docs</span><span class="p">,</span> <span class="n">_tensor_docs</span><span class="p">,</span> <span class="n">_storage_docs</span>
 
 
-<div class="viewcode-block" id="compiled_with_cxx11_abi"><a class="viewcode-back" href="../generated/torch.compiled_with_cxx11_abi.html#torch.compiled_with_cxx11_abi">[docs]</a><span class="k">def</span> <span class="nf">compiled_with_cxx11_abi</span><span class="p">():</span>
+<div class="viewcode-block" id="compiled_with_cxx11_abi"><a class="viewcode-back" href="../generated/torch.compiled_with_cxx11_abi.html#torch.compiled_with_cxx11_abi">[docs]</a><span class="k">def</span> <span class="nf">compiled_with_cxx11_abi</span><span class="p">()</span> <span class="o">-&gt;</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span><span class="p">:</span>
 <span class="w">    </span><span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns whether PyTorch was built with _GLIBCXX_USE_CXX11_ABI=1&quot;&quot;&quot;</span>
     <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_GLIBCXX_USE_CXX11_ABI</span></div>
 

docs/main/_modules/torch.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/__config__.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/_jit_internal.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/_lobpcg.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 
@@ -586,6 +586,7 @@ <h1>Source code for torch._logging._internal</h1><div class="highlight"><pre>
     <span class="n">dynamic</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
     <span class="n">inductor</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
     <span class="n">distributed</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
+    <span class="n">onnx</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">int</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
     <span class="n">bytecode</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
     <span class="n">aot_graphs</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
     <span class="n">aot_joint_graph</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
@@ -601,6 +602,7 @@ <h1>Source code for torch._logging._internal</h1><div class="highlight"><pre>
     <span class="n">output_code</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
     <span class="n">schedule</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
     <span class="n">perf_hints</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
+    <span class="n">onnx_diagnostics</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
     <span class="n">modules</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">bool</span><span class="p">]]]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
 <span class="p">):</span>
 <span class="w">    </span><span class="sd">&quot;&quot;&quot;</span>
@@ -658,6 +660,9 @@ <h1>Source code for torch._logging._internal</h1><div class="highlight"><pre>
 <span class="sd">            Whether to log communication operations and other debug info from pytorch distributed components.</span>
 <span class="sd">            Default: ``logging.WARN``</span>
 
+<span class="sd">        onnx (:class:`Optional[int]`):</span>
+<span class="sd">            The log level for the ONNX exporter component. Default: ``logging.WARN``</span>
+
 <span class="sd">        bytecode (:class:`bool`):</span>
 <span class="sd">            Whether to emit the original and generated bytecode from TorchDynamo.</span>
 <span class="sd">            Default: ``False``</span>
@@ -711,6 +716,9 @@ <h1>Source code for torch._logging._internal</h1><div class="highlight"><pre>
 <span class="sd">        perf_hints (:class:`bool`):</span>
 <span class="sd">            Whether to emit the TorchInductor perf hints. Default: ``False``</span>
 
+<span class="sd">        onnx_diagnostics (:class:`bool`):</span>
+<span class="sd">            Whether to emit the ONNX exporter diagnostics in logging. Default: ``False``</span>
+
 <span class="sd">        modules (dict):</span>
 <span class="sd">            This argument provides an alternate way to specify the above log</span>
 <span class="sd">            component and artifact settings, in the format of a keyword args</span>
@@ -816,6 +824,8 @@ <h1>Source code for torch._logging._internal</h1><div class="highlight"><pre>
         <span class="n">output_code</span><span class="o">=</span><span class="n">output_code</span><span class="p">,</span>
         <span class="n">schedule</span><span class="o">=</span><span class="n">schedule</span><span class="p">,</span>
         <span class="n">perf_hints</span><span class="o">=</span><span class="n">perf_hints</span><span class="p">,</span>
+        <span class="n">onnx</span><span class="o">=</span><span class="n">onnx</span><span class="p">,</span>
+        <span class="n">onnx_diagnostics</span><span class="o">=</span><span class="n">onnx_diagnostics</span><span class="p">,</span>
     <span class="p">)</span></div>
 
 

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

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/_lowrank.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/_tensor.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/_tensor_str.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/_utils.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/amp/autocast_mode.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>
 
 

docs/main/_modules/torch/ao/nn/intrinsic/modules/fused.html

@@ -230,7 +230,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+git5ebb18c ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>main (2.1.0a0+gitb3c29cd ) &#x25BC</a>
     </div>