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<span class="sd"> the process group. Default value equals 30 minutes.</span>
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<span class="sd"> This is applicable for the ``gloo`` backend. For ``nccl``, this is</span>
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<span class="sd"> group_name (str, optional, deprecated): Group name.</span>
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<span class="n">states</span><span class="o">.</span><span class="n">gathered_objects</span> <span class="o">=</span> <span class="n">objects_map</span>
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<span class="nd">@_require_initialized</span>
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<span class="k">def</span> <span class="nf">_all_gather</span><span class="p">(</span><span class="n">obj</span><span class="p">,</span> <span class="n">timeout</span><span class="o">=</span><span class="n">UNSET_RPC_TIMEOUT</span><span class="p">):</span>
@@ -1179,7 +1207,10 @@ <h1>Source code for torch.distributed.rpc.api</h1><div class="highlight"><pre>
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<span class="sd"> &gt;&gt;&gt; rpc.init_rpc(&quot;worker1&quot;, rank=1, world_size=2)</span>
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<span class="sd"> &gt;&gt;&gt; rpc.shutdown()</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<span class="k">return</span> <span class="n">_invoke_rpc</span><span class="p">(</span><span class="n">to</span><span class="p">,</span> <span class="n">func</span><span class="p">,</span> <span class="n">RPCExecMode</span><span class="o">.</span><span class="n">ASYNC</span><span class="p">,</span> <span class="n">args</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">,</span> <span class="n">timeout</span><span class="p">)</span></div>
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<span class="n">fut</span> <span class="o">=</span> <span class="n">_invoke_rpc</span><span class="p">(</span><span class="n">to</span><span class="p">,</span> <span class="n">func</span><span class="p">,</span> <span class="n">RPCExecMode</span><span class="o">.</span><span class="n">ASYNC</span><span class="p">,</span> <span class="n">args</span><span class="p">,</span> <span class="n">kwargs</span><span class="p">,</span> <span class="n">timeout</span><span class="p">)</span>
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<span class="k">if</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">_thread_local_var</span><span class="p">,</span> <span class="s2">&quot;future_list&quot;</span><span class="p">):</span>
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<span class="n">_thread_local_var</span><span class="o">.</span><span class="n">future_list</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fut</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">fut</span></div>
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</pre></div>
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</article>

docs/master/_modules/torch/distributed/rpc/backend_registry.html

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<div class="version">
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<a href='http://pytorch.org/docs/versions.html'>1.8.0a0+81d3931 &#x25BC</a>
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<a href='http://pytorch.org/docs/versions.html'>1.8.0a0+ea2c6ca &#x25BC</a>
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