Generate Python docs from pytorch/pytorch@604c318

Author: pytorchbot

docs/master/__config__.html

@@ -193,7 +193,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd88bfc9 ) &#x25BC</a>
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docs/master/_modules/index.html

@@ -192,7 +192,7 @@
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     <div class="version">
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docs/master/_modules/torch.html

@@ -192,7 +192,7 @@
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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git604c318 ) &#x25BC</a>
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@@ -656,7 +656,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
     <span class="k">return</span> <span class="n">module</span> <span class="o">+</span> <span class="n">class_name</span>
 
 
-<span class="k">def</span> <span class="nf">is_tensor</span><span class="p">(</span><span class="n">obj</span><span class="p">):</span>
+<div class="viewcode-block" id="is_tensor"><a class="viewcode-back" href="../generated/torch.is_tensor.html#torch.is_tensor">[docs]</a><span class="k">def</span> <span class="nf">is_tensor</span><span class="p">(</span><span class="n">obj</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns True if `obj` is a PyTorch tensor.</span>
 
 <span class="sd">    Note that this function is simply doing ``isinstance(obj, Tensor)``.</span>
@@ -673,16 +673,16 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">        True</span>
 
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="k">return</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</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="k">return</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">Tensor</span><span class="p">)</span></div>
 
 
-<span class="k">def</span> <span class="nf">is_storage</span><span class="p">(</span><span class="n">obj</span><span class="p">):</span>
+<div class="viewcode-block" id="is_storage"><a class="viewcode-back" href="../generated/torch.is_storage.html#torch.is_storage">[docs]</a><span class="k">def</span> <span class="nf">is_storage</span><span class="p">(</span><span class="n">obj</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Returns True if `obj` is a PyTorch storage object.</span>
 
 <span class="sd">    Args:</span>
 <span class="sd">        obj (Object): Object to test</span>
 <span class="sd">    &quot;&quot;&quot;</span>
-    <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span> <span class="ow">in</span> <span class="n">_storage_classes</span>
+    <span class="k">return</span> <span class="nb">type</span><span class="p">(</span><span class="n">obj</span><span class="p">)</span> <span class="ow">in</span> <span class="n">_storage_classes</span></div>
 
 
 <span class="k">def</span> <span class="nf">set_default_tensor_type</span><span class="p">(</span><span class="n">t</span><span class="p">):</span>
@@ -894,11 +894,11 @@ <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>
 
-<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="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>
-    <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_get_warnAlways</span><span class="p">()</span>
+    <span class="k">return</span> <span class="n">_C</span><span class="o">.</span><span class="n">_get_warnAlways</span><span class="p">()</span></div>
 
 <span class="c1">################################################################################</span>
 <span class="c1"># Define numeric constants</span>

docs/master/_modules/torch/__config__.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd88bfc9 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git604c318 ) &#x25BC</a>
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docs/master/_modules/torch/_jit_internal.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd88bfc9 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git604c318 ) &#x25BC</a>
     </div>
 
 
@@ -956,7 +956,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
         <span class="k">pass</span>
 
-<span class="k">def</span> <span class="nf">ignore</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+<div class="viewcode-block" id="ignore"><a class="viewcode-back" href="../../generated/torch.jit.ignore.html#torch.jit.ignore">[docs]</a><span class="k">def</span> <span class="nf">ignore</span><span class="p">(</span><span class="n">drop</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    This decorator indicates to the compiler that a function or method should</span>
 <span class="sd">    be ignored and left as a Python function. This allows you to leave code in</span>
@@ -1047,7 +1047,7 @@ <h1>Source code for torch._jit_internal</h1><div class="highlight"><pre>
         <span class="k">else</span><span class="p">:</span>
             <span class="n">fn</span><span class="o">.</span><span class="n">_torchscript_modifier</span> <span class="o">=</span> <span class="n">FunctionModifiers</span><span class="o">.</span><span class="n">IGNORE</span>
         <span class="k">return</span> <span class="n">fn</span>
-    <span class="k">return</span> <span class="n">decorator</span>
+    <span class="k">return</span> <span class="n">decorator</span></div>
 
 
 <span class="k">def</span> <span class="nf">_copy_to_script_wrapper</span><span class="p">(</span><span class="n">fn</span><span class="p">):</span>

docs/master/_modules/torch/_lobpcg.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd88bfc9 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git604c318 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_lowrank.html

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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git604c318 ) &#x25BC</a>
     </div>
 
 

docs/master/_modules/torch/_tensor.html

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     <div class="version">
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docs/master/_modules/torch/_tensor_str.html

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     <div class="version">
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+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git604c318 ) &#x25BC</a>
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docs/master/_modules/torch/_utils.html

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

docs/master/_modules/torch/_vmap_internals.html

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

docs/master/_modules/torch/autograd.html

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     <div class="version">
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     <div class="version">
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     <div class="version">
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docs/master/_modules/torch/autograd/functional.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd88bfc9 ) &#x25BC</a>
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docs/master/_modules/torch/autograd/grad_mode.html

@@ -192,7 +192,7 @@
           <div class="pytorch-left-menu-search">
 
     <div class="version">
-      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+gitd88bfc9 ) &#x25BC</a>
+      <a href='https://pytorch.org/docs/versions.html'>master (1.10.0a0+git604c318 ) &#x25BC</a>
     </div>
 
 
@@ -613,7 +613,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_grad_enabled</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev</span><span class="p">)</span></div>
 
 
-<span class="k">class</span> <span class="nc">inference_mode</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
+<div class="viewcode-block" id="inference_mode"><a class="viewcode-back" href="../../../generated/torch.inference_mode.html#torch.inference_mode">[docs]</a><span class="k">class</span> <span class="nc">inference_mode</span><span class="p">(</span><span class="n">_DecoratorContextManager</span><span class="p">):</span>
     <span class="sa">r</span><span class="sd">&quot;&quot;&quot;Context-manager that enables or disables inference mode</span>
 
 <span class="sd">    InferenceMode is a new context manager analogous to :class:`~no_grad`</span>
@@ -665,7 +665,7 @@ <h1>Source code for torch.autograd.grad_mode</h1><div class="highlight"><pre>
         <span class="bp">self</span><span class="o">.</span><span class="n">_inference_mode_raii_guard</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_InferenceMode</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">mode</span><span class="p">)</span>
 
     <span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">exc_type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">exc_value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="kc">None</span><span class="p">:</span>
-        <span class="k">del</span> <span class="bp">self</span><span class="o">.</span><span class="n">_inference_mode_raii_guard</span>
+        <span class="k">del</span> <span class="bp">self</span><span class="o">.</span><span class="n">_inference_mode_raii_guard</span></div>
 </pre></div>
 
              </article>

docs/master/_modules/torch/autograd/gradcheck.html

@@ -192,7 +192,7 @@
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     <div class="version">
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     <div class="version">
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docs/master/_modules/torch/backends/cuda.html

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     <div class="version">
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docs/master/_modules/torch/backends/mkl.html

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docs/master/_modules/torch/backends/mkldnn.html

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docs/master/_modules/torch/backends/openmp.html

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docs/master/_modules/torch/cuda.html

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docs/master/_modules/torch/cuda/memory.html

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docs/master/_modules/torch/distributed.html

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docs/master/_modules/torch/distributed/algorithms/ddp_comm_hooks/default_hooks.html

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