Update doc from commit 3cd4677

pytorch · Sep 25, 2024 · e4ca7bf · e4ca7bf
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@@ -405,7 +405,9 @@ <h1>Source code for torch_xla.distributed.xla_multiprocessing</h1><div class="hi
 <span class="sd">    args (tuple): The arguments for `fn`.</span>
 <span class="sd">      Default: Empty tuple</span>
 <span class="sd">    nprocs (int): The number of processes/devices for the replication. At the</span>
-<span class="sd">      moment, if specified, can be either 1 or the maximum number of devices.</span>
+<span class="sd">      moment, if specified, can be either 1 or None (which would automatically</span>
+<span class="sd">      converted to the maximum number of devices). Other numbers would result</span>
+<span class="sd">      in ValueError.</span>
 <span class="sd">    join (bool): Whether the call should block waiting for the completion of the</span>
 <span class="sd">      processes which have being spawned.</span>
 <span class="sd">      Default: True</span>

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@@ -1410,7 +1410,9 @@ <h1>PyTorch/XLA API<a class="headerlink" href="#pytorch-xla-api" title="Permalin
 <li><p><strong>args</strong> (<em>tuple</em>) – The arguments for <cite>fn</cite>.
 Default: Empty tuple</p></li>
 <li><p><strong>nprocs</strong> (<em>python:int</em>) – The number of processes/devices for the replication. At the
-moment, if specified, can be either 1 or the maximum number of devices.</p></li>
+moment, if specified, can be either 1 or None (which would automatically
+converted to the maximum number of devices). Other numbers would result
+in ValueError.</p></li>
 <li><p><strong>join</strong> (<em>bool</em>) – Whether the call should block waiting for the completion of the
 processes which have being spawned.
 Default: True</p></li>

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