Generate Python docs from pytorch/pytorch@b6b8803

Author: pytorchbot

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@@ -920,14 +920,14 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
 <span class="sd">        &gt;&gt;&gt; torch.use_deterministic_algorithms(True)</span>
 
 <span class="sd">        # Forward mode nondeterministic error</span>
-<span class="sd">        &gt;&gt;&gt; torch.randn(10).index_copy(0, torch.tensor([0]), torch.randn(1))</span>
+<span class="sd">        &gt;&gt;&gt; torch.randn(10, device=&#39;cuda&#39;).kthvalue(0)</span>
 <span class="sd">        ...</span>
-<span class="sd">        RuntimeError: index_copy does not have a deterministic implementation...</span>
+<span class="sd">        RuntimeError: kthvalue CUDA does not have a deterministic implementation...</span>
 
 <span class="sd">        # Backward mode nondeterministic error</span>
-<span class="sd">        &gt;&gt;&gt; torch.randn(10, requires_grad=True, device=&#39;cuda&#39;).index_select(0, torch.tensor([0], device=&#39;cuda&#39;)).backward()</span>
+<span class="sd">        &gt;&gt;&gt; torch.nn.AvgPool3d(1)(torch.randn(3, 4, 5, 6, requires_grad=True).cuda()).sum().backward()</span>
 <span class="sd">        ...</span>
-<span class="sd">        RuntimeError: index_add_cuda_ does not have a deterministic implementation...</span>
+<span class="sd">        RuntimeError: avg_pool3d_backward_cuda does not have a deterministic implementation...</span>
 <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>
 

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