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<h1>Source code for torch.multiprocessing</h1><div class="highlight"><pre>
<span></span><span class="c1"># mypy: allow-untyped-defs</span>
<span class="sd">"""torch.multiprocessing is a wrapper around the native :mod:`multiprocessing` module.</span>
<span class="sd">It registers custom reducers, that use shared memory to provide shared</span>
<span class="sd">views on the same data in different processes. Once the tensor/storage is moved</span>
<span class="sd">to shared_memory (see :func:`~torch.Tensor.share_memory_`), it will be possible</span>
<span class="sd">to send it to other processes without making any copies.</span>
<span class="sd">The API is 100% compatible with the original module - it's enough to change</span>
<span class="sd">``import multiprocessing`` to ``import torch.multiprocessing`` to have all the</span>
<span class="sd">tensors sent through the queues or shared via other mechanisms, moved to shared</span>
<span class="sd">memory.</span>
<span class="sd">Because of the similarity of APIs we do not document most of this package</span>
<span class="sd">contents, and we recommend referring to very good docs of the original module.</span>
<span class="sd">"""</span>
<span class="kn">import</span> <span class="nn">multiprocessing</span>
<span class="kn">import</span> <span class="nn">sys</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">.reductions</span> <span class="kn">import</span> <span class="n">init_reductions</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span><span class="s2">"set_sharing_strategy"</span><span class="p">,</span> <span class="s2">"get_sharing_strategy"</span><span class="p">,</span> <span class="s2">"get_all_sharing_strategies"</span><span class="p">]</span>
<span class="kn">from</span> <span class="nn">multiprocessing</span> <span class="kn">import</span> <span class="o">*</span> <span class="c1"># noqa: F403</span>
<span class="n">__all__</span> <span class="o">+=</span> <span class="n">multiprocessing</span><span class="o">.</span><span class="n">__all__</span> <span class="c1"># noqa: PLE0605 type: ignore[attr-defined]</span>
<span class="c1"># This call adds a Linux specific prctl(2) wrapper function to this module.</span>
<span class="c1"># See https://github.com/pytorch/pytorch/pull/14391 for more information.</span>
<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_multiprocessing_init</span><span class="p">()</span>
<span class="sd">"""Add helper function to spawn N processes and wait for completion of any of</span>
<span class="sd">them. This depends `mp.get_context` which was added in Python 3.4."""</span>
<span class="kn">from</span> <span class="nn">.spawn</span> <span class="kn">import</span> <span class="p">(</span>
<span class="n">ENV_VAR_PARALLEL_START</span><span class="p">,</span>
<span class="n">ProcessContext</span><span class="p">,</span>
<span class="n">ProcessExitedException</span><span class="p">,</span>
<span class="n">ProcessRaisedException</span><span class="p">,</span>
<span class="n">spawn</span><span class="p">,</span>
<span class="n">SpawnContext</span><span class="p">,</span>
<span class="n">start_processes</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">if</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span> <span class="o">==</span> <span class="s2">"darwin"</span> <span class="ow">or</span> <span class="n">sys</span><span class="o">.</span><span class="n">platform</span> <span class="o">==</span> <span class="s2">"win32"</span><span class="p">:</span>
<span class="n">_sharing_strategy</span> <span class="o">=</span> <span class="s2">"file_system"</span>
<span class="n">_all_sharing_strategies</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"file_system"</span><span class="p">}</span>
<span class="k">else</span><span class="p">:</span>
<span class="n">_sharing_strategy</span> <span class="o">=</span> <span class="s2">"file_descriptor"</span>
<span class="n">_all_sharing_strategies</span> <span class="o">=</span> <span class="p">{</span><span class="s2">"file_descriptor"</span><span class="p">,</span> <span class="s2">"file_system"</span><span class="p">}</span>
<div class="viewcode-block" id="set_sharing_strategy"><a class="viewcode-back" href="../../multiprocessing.html#torch.multiprocessing.set_sharing_strategy">[docs]</a><span class="k">def</span> <span class="nf">set_sharing_strategy</span><span class="p">(</span><span class="n">new_strategy</span><span class="p">):</span>
<span class="w"> </span><span class="sd">"""Set the strategy for sharing CPU tensors.</span>
<span class="sd"> Args:</span>
<span class="sd"> new_strategy (str): Name of the selected strategy. Should be one of</span>
<span class="sd"> the values returned by :func:`get_all_sharing_strategies()`.</span>
<span class="sd"> """</span>
<span class="k">global</span> <span class="n">_sharing_strategy</span>
<span class="k">assert</span> <span class="n">new_strategy</span> <span class="ow">in</span> <span class="n">_all_sharing_strategies</span>
<span class="n">_sharing_strategy</span> <span class="o">=</span> <span class="n">new_strategy</span></div>
<div class="viewcode-block" id="get_sharing_strategy"><a class="viewcode-back" href="../../multiprocessing.html#torch.multiprocessing.get_sharing_strategy">[docs]</a><span class="k">def</span> <span class="nf">get_sharing_strategy</span><span class="p">():</span>
<span class="w"> </span><span class="sd">"""Return the current strategy for sharing CPU tensors."""</span>
<span class="k">return</span> <span class="n">_sharing_strategy</span></div>
<div class="viewcode-block" id="get_all_sharing_strategies"><a class="viewcode-back" href="../../multiprocessing.html#torch.multiprocessing.get_all_sharing_strategies">[docs]</a><span class="k">def</span> <span class="nf">get_all_sharing_strategies</span><span class="p">():</span>
<span class="w"> </span><span class="sd">"""Return a set of sharing strategies supported on a current system."""</span>
<span class="k">return</span> <span class="n">_all_sharing_strategies</span></div>
<span class="k">def</span> <span class="nf">_set_thread_name</span><span class="p">(</span><span class="n">name</span><span class="p">:</span> <span class="nb">str</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Set the name of the current thread.</span>
<span class="sd"> Args:</span>
<span class="sd"> name (str): Name of the current thread.</span>
<span class="sd"> """</span>
<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_set_thread_name</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">_get_thread_name</span><span class="p">()</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""Get the name of the current thread.</span>
<span class="sd"> Returns:</span>
<span class="sd"> str: Name of the current thread.</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_get_thread_name</span><span class="p">()</span>
<span class="n">init_reductions</span><span class="p">()</span>
</pre></div>
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