Generate Python docs from pytorch/pytorch@29672b2

Author: pytorchbot

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@@ -828,10 +828,8 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">          tensor</span>
 <span class="sd">        * :func:`torch.Tensor.put_` with ``accumulate=True`` when called on a CPU</span>
 <span class="sd">          tensor</span>
-<span class="sd">        * :func:`torch.Tensor.scatter_add_` when ``input`` dimension is one and called</span>
-<span class="sd">          on a CUDA tensor</span>
-<span class="sd">        * :func:`torch.gather` when ``input`` dimension is one and called</span>
-<span class="sd">          on a CUDA tensor that requires grad</span>
+<span class="sd">        * :func:`torch.Tensor.scatter_add_` when called on a CUDA tensor</span>
+<span class="sd">        * :func:`torch.gather` when called on a CUDA tensor that requires grad</span>
 <span class="sd">        * :func:`torch.index_add` when called on CUDA tensor</span>
 <span class="sd">        * :func:`torch.index_select` when attempting to differentiate a CUDA tensor</span>
 <span class="sd">        * :func:`torch.repeat_interleave` when attempting to differentiate a CUDA tensor</span>
@@ -865,10 +863,6 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">        * :class:`torch.nn.CTCLoss` when attempting to differentiate a CUDA tensor</span>
 <span class="sd">        * :class:`torch.nn.EmbeddingBag` when attempting to differentiate a CUDA tensor when</span>
 <span class="sd">          ``mode=&#39;max&#39;``</span>
-<span class="sd">        * :func:`torch.Tensor.scatter_add_` when ``input`` dimension is larger than one</span>
-<span class="sd">          and called on a CUDA tensor</span>
-<span class="sd">        * :func:`torch.gather` when ``input`` dimension is larger than one</span>
-<span class="sd">          and called on a CUDA tensor that requires grad</span>
 <span class="sd">        * :func:`torch.Tensor.put_` when ``accumulate=False``</span>
 <span class="sd">        * :func:`torch.Tensor.put_` when ``accumulate=True`` and called on a CUDA tensor</span>
 <span class="sd">        * :func:`torch.histc` when called on a CUDA tensor</span>
@@ -1390,6 +1384,12 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
     <span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">library</span>
     <span class="k">if</span> <span class="ow">not</span> <span class="n">TYPE_CHECKING</span><span class="p">:</span>
         <span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">_meta_registrations</span>
+
+<span class="c1"># Enable CUDA Sanitizer</span>
+<span class="k">if</span> <span class="s1">&#39;TORCH_CUDA_SANITIZER&#39;</span> <span class="ow">in</span> <span class="n">os</span><span class="o">.</span><span class="n">environ</span><span class="p">:</span>
+    <span class="kn">import</span> <span class="nn">torch.cuda._sanitizer</span> <span class="k">as</span> <span class="nn">csan</span>
+
+    <span class="n">csan</span><span class="o">.</span><span class="n">enable_cuda_sanitizer</span><span class="p">()</span>
 </pre></div>
 
              </article>

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