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<h1>Source code for torch.cpu</h1><div class="highlight"><pre>
<span></span><span class="sa">r</span><span class="sd">"""</span>
<span class="sd">This package implements abstractions found in ``torch.cuda``</span>
<span class="sd">to facilitate writing device-agnostic code.</span>
<span class="sd">"""</span>
<span class="kn">from</span> <span class="nn">contextlib</span> <span class="kn">import</span> <span class="n">AbstractContextManager</span>
<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Any</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
<span class="kn">import</span> <span class="nn">torch</span>
<span class="kn">from</span> <span class="nn">..</span> <span class="kn">import</span> <span class="n">device</span> <span class="k">as</span> <span class="n">_device</span>
<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">amp</span>
<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
<span class="s2">"is_available"</span><span class="p">,</span>
<span class="s2">"synchronize"</span><span class="p">,</span>
<span class="s2">"current_device"</span><span class="p">,</span>
<span class="s2">"current_stream"</span><span class="p">,</span>
<span class="s2">"stream"</span><span class="p">,</span>
<span class="s2">"set_device"</span><span class="p">,</span>
<span class="s2">"device_count"</span><span class="p">,</span>
<span class="s2">"Stream"</span><span class="p">,</span>
<span class="s2">"StreamContext"</span><span class="p">,</span>
<span class="s2">"Event"</span><span class="p">,</span>
<span class="p">]</span>
<span class="n">_device_t</span> <span class="o">=</span> <span class="n">Union</span><span class="p">[</span><span class="n">_device</span><span class="p">,</span> <span class="nb">str</span><span class="p">,</span> <span class="nb">int</span><span class="p">,</span> <span class="kc">None</span><span class="p">]</span>
<span class="k">def</span> <span class="nf">_is_cpu_support_vnni</span><span class="p">()</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Returns a bool indicating if CPU supports VNNI."""</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">_cpu</span><span class="o">.</span><span class="n">_is_cpu_support_vnni</span><span class="p">()</span>
<div class="viewcode-block" id="is_available"><a class="viewcode-back" href="../../generated/torch.cpu.is_available.html#torch.cpu.is_available">[docs]</a><span class="k">def</span> <span class="nf">is_available</span><span class="p">()</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Returns a bool indicating if CPU is currently available.</span>
<span class="sd"> N.B. This function only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="kc">True</span></div>
<div class="viewcode-block" id="synchronize"><a class="viewcode-back" href="../../generated/torch.cpu.synchronize.html#torch.cpu.synchronize">[docs]</a><span class="k">def</span> <span class="nf">synchronize</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">_device_t</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Waits for all kernels in all streams on the CPU device to complete.</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int, optional): ignored, there's only one CPU device.</span>
<span class="sd"> N.B. This function only exists to facilitate device-agnostic code.</span>
<span class="sd"> """</span>
<span class="k">pass</span></div>
<div class="viewcode-block" id="Stream"><a class="viewcode-back" href="../../generated/torch.cpu.Stream.html#torch.cpu.Stream">[docs]</a><span class="k">class</span> <span class="nc">Stream</span><span class="p">:</span>
<span class="w"> </span><span class="sd">"""</span>
<span class="sd"> N.B. This class only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">priority</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="nf">wait_stream</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stream</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="k">pass</span></div>
<span class="k">class</span> <span class="nc">Event</span><span class="p">:</span>
<span class="k">def</span> <span class="nf">query</span><span class="p">(</span><span class="bp">self</span><span class="p">)</span> <span class="o">-></span> <span class="nb">bool</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">True</span>
<span class="k">def</span> <span class="nf">record</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stream</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="nf">synchronize</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="k">pass</span>
<span class="k">def</span> <span class="nf">wait</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stream</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="k">pass</span>
<span class="n">_default_cpu_stream</span> <span class="o">=</span> <span class="n">Stream</span><span class="p">()</span>
<span class="n">_current_stream</span> <span class="o">=</span> <span class="n">_default_cpu_stream</span>
<div class="viewcode-block" id="current_stream"><a class="viewcode-back" href="../../generated/torch.cpu.current_stream.html#torch.cpu.current_stream">[docs]</a><span class="k">def</span> <span class="nf">current_stream</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">_device_t</span> <span class="o">=</span> <span class="kc">None</span><span class="p">)</span> <span class="o">-></span> <span class="n">Stream</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Returns the currently selected :class:`Stream` for a given device.</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int, optional): Ignored.</span>
<span class="sd"> N.B. This function only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">_current_stream</span></div>
<div class="viewcode-block" id="StreamContext"><a class="viewcode-back" href="../../generated/torch.cpu.StreamContext.html#torch.cpu.StreamContext">[docs]</a><span class="k">class</span> <span class="nc">StreamContext</span><span class="p">(</span><span class="n">AbstractContextManager</span><span class="p">):</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Context-manager that selects a given stream.</span>
<span class="sd"> N.B. This class only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="n">cur_stream</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Stream</span><span class="p">]</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">stream</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">stream</span> <span class="o">=</span> <span class="n">stream</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prev_stream</span> <span class="o">=</span> <span class="n">_default_cpu_stream</span>
<span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="n">cur_stream</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">stream</span>
<span class="k">if</span> <span class="n">cur_stream</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">return</span>
<span class="k">global</span> <span class="n">_current_stream</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prev_stream</span> <span class="o">=</span> <span class="n">_current_stream</span>
<span class="n">_current_stream</span> <span class="o">=</span> <span class="n">cur_stream</span>
<span class="k">def</span> <span class="fm">__exit__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="nb">type</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">value</span><span class="p">:</span> <span class="n">Any</span><span class="p">,</span> <span class="n">traceback</span><span class="p">:</span> <span class="n">Any</span><span class="p">):</span>
<span class="n">cur_stream</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">stream</span>
<span class="k">if</span> <span class="n">cur_stream</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">return</span>
<span class="k">global</span> <span class="n">_current_stream</span>
<span class="n">_current_stream</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">prev_stream</span></div>
<div class="viewcode-block" id="stream"><a class="viewcode-back" href="../../generated/torch.cpu.stream.html#torch.cpu.stream">[docs]</a><span class="k">def</span> <span class="nf">stream</span><span class="p">(</span><span class="n">stream</span><span class="p">:</span> <span class="n">Stream</span><span class="p">)</span> <span class="o">-></span> <span class="n">AbstractContextManager</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Wrapper around the Context-manager StreamContext that</span>
<span class="sd"> selects a given stream.</span>
<span class="sd"> N.B. This function only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="n">StreamContext</span><span class="p">(</span><span class="n">stream</span><span class="p">)</span></div>
<div class="viewcode-block" id="device_count"><a class="viewcode-back" href="../../generated/torch.cpu.device_count.html#torch.cpu.device_count">[docs]</a><span class="k">def</span> <span class="nf">device_count</span><span class="p">()</span> <span class="o">-></span> <span class="nb">int</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Returns number of CPU devices (not cores). Always 1.</span>
<span class="sd"> N.B. This function only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="mi">1</span></div>
<div class="viewcode-block" id="set_device"><a class="viewcode-back" href="../../generated/torch.cpu.set_device.html#torch.cpu.set_device">[docs]</a><span class="k">def</span> <span class="nf">set_device</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">_device_t</span><span class="p">)</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Sets the current device, in CPU we do nothing.</span>
<span class="sd"> N.B. This function only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="k">pass</span></div>
<div class="viewcode-block" id="current_device"><a class="viewcode-back" href="../../generated/torch.cpu.current_device.html#torch.cpu.current_device">[docs]</a><span class="k">def</span> <span class="nf">current_device</span><span class="p">()</span> <span class="o">-></span> <span class="nb">str</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Returns current device for cpu. Always 'cpu'.</span>
<span class="sd"> N.B. This function only exists to facilitate device-agnostic code</span>
<span class="sd"> """</span>
<span class="k">return</span> <span class="s2">"cpu"</span></div>
</pre></div>
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