auto-generating sphinx docs

Author: pytorchbot

docs/master/_modules/index.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -279,7 +279,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="kn">import</span> <span class="nn">platform</span>
 <span class="kn">from</span> <span class="nn">._utils</span> <span class="k">import</span> <span class="n">_import_dotted_name</span>
 <span class="kn">from</span> <span class="nn">._utils_internal</span> <span class="k">import</span> <span class="n">get_file_path</span><span class="p">,</span> <span class="n">prepare_multiprocessing_environment</span>
-<span class="kn">from</span> <span class="nn">.version</span> <span class="k">import</span> <span class="n">__version__</span>
+<span class="kn">from</span> <span class="nn">.version</span> <span class="k">import</span> <span class="n">__version__</span>  <span class="c1"># noqa: F401</span>
 <span class="kn">from</span> <span class="nn">._six</span> <span class="k">import</span> <span class="n">string_classes</span> <span class="k">as</span> <span class="n">_string_classes</span>
 
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
@@ -305,7 +305,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="c1"># if we have numpy, it *must* be imported before the call to setdlopenflags()</span>
 <span class="c1"># or there is risk that later c modules will segfault when importing numpy</span>
 <span class="k">try</span><span class="p">:</span>
-    <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">_np</span>
+    <span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">_np</span>  <span class="c1"># noqa: F401</span>
 <span class="k">except</span> <span class="ne">ImportError</span><span class="p">:</span>
     <span class="k">pass</span>
 
@@ -547,7 +547,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 
 <span class="kn">import</span> <span class="nn">torch.cuda</span>
 <span class="kn">import</span> <span class="nn">torch.autograd</span>
-<span class="kn">from</span> <span class="nn">torch.autograd</span> <span class="k">import</span> <span class="n">no_grad</span><span class="p">,</span> <span class="n">enable_grad</span><span class="p">,</span> <span class="n">set_grad_enabled</span>
+<span class="kn">from</span> <span class="nn">torch.autograd</span> <span class="k">import</span> <span class="n">no_grad</span><span class="p">,</span> <span class="n">enable_grad</span><span class="p">,</span> <span class="n">set_grad_enabled</span>  <span class="c1"># noqa: F401</span>
 <span class="kn">import</span> <span class="nn">torch.nn</span>
 <span class="kn">import</span> <span class="nn">torch.optim</span>
 <span class="kn">import</span> <span class="nn">torch.multiprocessing</span>
@@ -575,7 +575,7 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 
 
 <span class="c1"># Import the ops &quot;namespace&quot;</span>
-<span class="kn">from</span> <span class="nn">torch._ops</span> <span class="k">import</span> <span class="n">ops</span>
+<span class="kn">from</span> <span class="nn">torch._ops</span> <span class="k">import</span> <span class="n">ops</span>  <span class="c1"># noqa: F401</span>
 
 <span class="c1"># Import the quasi random sampler</span>
 <span class="kn">import</span> <span class="nn">torch.quasirandom</span>

docs/master/_modules/torch/_tensor_str.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -268,9 +268,7 @@
   <h1>Source code for torch._tensor_str</h1><div class="highlight"><pre>
 <span></span><span class="kn">import</span> <span class="nn">math</span>
 <span class="kn">import</span> <span class="nn">torch</span>
-<span class="kn">from</span> <span class="nn">functools</span> <span class="k">import</span> <span class="n">reduce</span>
-<span class="kn">from</span> <span class="nn">sys</span> <span class="k">import</span> <span class="n">float_info</span>
-<span class="kn">from</span> <span class="nn">torch._six</span> <span class="k">import</span> <span class="n">inf</span><span class="p">,</span> <span class="n">nan</span>
+<span class="kn">from</span> <span class="nn">torch._six</span> <span class="k">import</span> <span class="n">inf</span>
 
 
 <span class="k">class</span> <span class="nc">__PrinterOptions</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>

docs/master/_modules/torch/_utils.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/autograd.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -276,11 +276,11 @@ <h1>Source code for torch.autograd</h1><div class="highlight"><pre>
 <span class="kn">import</span> <span class="nn">warnings</span>
 
 <span class="kn">from</span> <span class="nn">.variable</span> <span class="k">import</span> <span class="n">Variable</span>
-<span class="kn">from</span> <span class="nn">.function</span> <span class="k">import</span> <span class="n">Function</span><span class="p">,</span> <span class="n">NestedIOFunction</span>
-<span class="kn">from</span> <span class="nn">.gradcheck</span> <span class="k">import</span> <span class="n">gradcheck</span><span class="p">,</span> <span class="n">gradgradcheck</span>
-<span class="kn">from</span> <span class="nn">.grad_mode</span> <span class="k">import</span> <span class="n">no_grad</span><span class="p">,</span> <span class="n">enable_grad</span><span class="p">,</span> <span class="n">set_grad_enabled</span>
-<span class="kn">from</span> <span class="nn">.anomaly_mode</span> <span class="k">import</span> <span class="n">detect_anomaly</span><span class="p">,</span> <span class="n">set_detect_anomaly</span>
-<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">profiler</span>
+<span class="kn">from</span> <span class="nn">.function</span> <span class="k">import</span> <span class="n">Function</span><span class="p">,</span> <span class="n">NestedIOFunction</span>  <span class="c1"># noqa: F401</span>
+<span class="kn">from</span> <span class="nn">.gradcheck</span> <span class="k">import</span> <span class="n">gradcheck</span><span class="p">,</span> <span class="n">gradgradcheck</span>  <span class="c1"># noqa: F401</span>
+<span class="kn">from</span> <span class="nn">.grad_mode</span> <span class="k">import</span> <span class="n">no_grad</span><span class="p">,</span> <span class="n">enable_grad</span><span class="p">,</span> <span class="n">set_grad_enabled</span>  <span class="c1"># noqa: F401</span>
+<span class="kn">from</span> <span class="nn">.anomaly_mode</span> <span class="k">import</span> <span class="n">detect_anomaly</span><span class="p">,</span> <span class="n">set_detect_anomaly</span>  <span class="c1"># noqa: F401</span>
+<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">profiler</span>  <span class="c1"># noqa: F401</span>
 
 <span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;Variable&#39;</span><span class="p">,</span> <span class="s1">&#39;Function&#39;</span><span class="p">,</span> <span class="s1">&#39;backward&#39;</span><span class="p">,</span> <span class="s1">&#39;grad_mode&#39;</span><span class="p">]</span>
 

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -271,7 +271,6 @@ <h1>Source code for torch.autograd.gradcheck</h1><div class="highlight"><pre>
 <span></span><span class="kn">import</span> <span class="nn">torch</span>
 <span class="kn">from</span> <span class="nn">torch._six</span> <span class="k">import</span> <span class="n">container_abcs</span><span class="p">,</span> <span class="n">istuple</span>
 <span class="kn">import</span> <span class="nn">torch.testing</span>
-<span class="kn">import</span> <span class="nn">sys</span>
 <span class="kn">from</span> <span class="nn">itertools</span> <span class="k">import</span> <span class="n">product</span>
 <span class="kn">import</span> <span class="nn">warnings</span>
 

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -268,15 +268,10 @@
              <article itemprop="articleBody" id="pytorch-article" class="pytorch-article">
 
   <h1>Source code for torch.autograd.profiler</h1><div class="highlight"><pre>
-<span></span><span class="kn">import</span> <span class="nn">subprocess</span>
-<span class="kn">import</span> <span class="nn">re</span>
-<span class="kn">import</span> <span class="nn">os</span>
-<span class="kn">import</span> <span class="nn">sys</span>
-<span class="kn">import</span> <span class="nn">itertools</span>
+<span></span><span class="kn">import</span> <span class="nn">itertools</span>
 <span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">defaultdict</span><span class="p">,</span> <span class="n">namedtuple</span>
 
 <span class="kn">import</span> <span class="nn">torch</span>
-<span class="kn">from</span> <span class="nn">torch._six</span> <span class="k">import</span> <span class="ne">FileNotFoundError</span>
 
 
 <span class="k">class</span> <span class="nc">range</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>

docs/master/_modules/torch/cuda.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -916,10 +916,10 @@ <h1>Source code for torch.cuda</h1><div class="highlight"><pre>
 <span class="n">torch</span><span class="o">.</span><span class="n">_storage_classes</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">HalfStorage</span><span class="p">)</span>
 <span class="n">torch</span><span class="o">.</span><span class="n">_storage_classes</span><span class="o">.</span><span class="n">add</span><span class="p">(</span><span class="n">BoolStorage</span><span class="p">)</span>
 
-<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">sparse</span>
-<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">profiler</span>
-<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">nvtx</span>
-<span class="kn">from</span> <span class="nn">.streams</span> <span class="k">import</span> <span class="n">Stream</span><span class="p">,</span> <span class="n">Event</span>
+<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">sparse</span>  <span class="c1"># noqa: F401</span>
+<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">profiler</span>  <span class="c1"># noqa: F401</span>
+<span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">nvtx</span>  <span class="c1"># noqa: F401</span>
+<span class="kn">from</span> <span class="nn">.streams</span> <span class="k">import</span> <span class="n">Stream</span><span class="p">,</span> <span class="n">Event</span>  <span class="c1"># noqa: F401</span>
 </pre></div>
 
              </article>

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -270,9 +270,8 @@
   <h1>Source code for torch.cuda.comm</h1><div class="highlight"><pre>
 <span></span><span class="kn">import</span> <span class="nn">torch</span>
 <span class="kn">from</span> <span class="nn">.</span> <span class="k">import</span> <span class="n">nccl</span>
-<span class="kn">from</span> <span class="nn">torch._utils</span> <span class="k">import</span> <span class="n">_accumulate</span><span class="p">,</span> <span class="n">_take_tensors</span><span class="p">,</span> <span class="n">_flatten_dense_tensors</span><span class="p">,</span> \
-    <span class="n">_flatten_sparse_tensors</span><span class="p">,</span> <span class="n">_unflatten_dense_tensors</span><span class="p">,</span> \
-    <span class="n">_unflatten_sparse_tensors</span><span class="p">,</span> <span class="n">_reorder_tensors_as</span>
+<span class="kn">from</span> <span class="nn">torch._utils</span> <span class="k">import</span> <span class="n">_take_tensors</span><span class="p">,</span> <span class="n">_flatten_dense_tensors</span><span class="p">,</span> \
+    <span class="n">_unflatten_dense_tensors</span><span class="p">,</span> <span class="n">_reorder_tensors_as</span>
 
 
 <div class="viewcode-block" id="broadcast"><a class="viewcode-back" href="../../../cuda.html#torch.cuda.comm.broadcast">[docs]</a><span class="k">def</span> <span class="nf">broadcast</span><span class="p">(</span><span class="n">tensor</span><span class="p">,</span> <span class="n">devices</span><span class="p">):</span>

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

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

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 

docs/master/_modules/torch/distributed.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>
 
 
@@ -278,11 +278,11 @@ <h1>Source code for torch.distributed</h1><div class="highlight"><pre>
 
 
 <span class="k">if</span> <span class="n">is_available</span><span class="p">():</span>
-    <span class="kn">from</span> <span class="nn">.distributed_c10d</span> <span class="k">import</span> <span class="o">*</span>
+    <span class="kn">from</span> <span class="nn">.distributed_c10d</span> <span class="k">import</span> <span class="o">*</span>  <span class="c1"># noqa: F401</span>
     <span class="c1"># Variables prefixed with underscore are not auto imported</span>
     <span class="c1"># See the comment in `distributed_c10d.py` above `_backend` on why we expose</span>
     <span class="c1"># this.</span>
-    <span class="kn">from</span> <span class="nn">.distributed_c10d</span> <span class="k">import</span> <span class="n">_backend</span>
+    <span class="kn">from</span> <span class="nn">.distributed_c10d</span> <span class="k">import</span> <span class="n">_backend</span>  <span class="c1"># noqa: F401</span>
 </pre></div>
 
              </article>

docs/master/_modules/torch/distributed/deprecated.html

@@ -108,7 +108,7 @@
 
 
                 <div class="version">
-                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+96456bf &#x25BC</a>
+                  <a href='http://pytorch.org/docs/versions.html'>1.1.0a0+173f224 &#x25BC</a>
                 </div>