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<div class="section" id="module-torch.cpu">
<span id="torch-cpu"></span><h1>torch.cpu<a class="headerlink" href="#module-torch.cpu" title="Permalink to this heading">¶</a></h1>
<p>This package implements abstractions found in <code class="docutils literal notranslate"><span class="pre">torch.cuda</span></code>
to facilitate writing device-agnostic code.</p>
<table class="autosummary longtable docutils colwidths-auto align-default">
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<tr class="row-odd"><td><p><p id="torch.cpu.current_device"/><a class="reference internal" href="generated/torch.cpu.current_device.html#torch.cpu.current_device" title="torch.cpu.current_device"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_device</span></code></a></p></td>
<td><p>Returns current device for cpu.</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.cpu.current_stream"/><a class="reference internal" href="generated/torch.cpu.current_stream.html#torch.cpu.current_stream" title="torch.cpu.current_stream"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_stream</span></code></a></p></td>
<td><p>Returns the currently selected <a class="reference internal" href="generated/torch.cpu.Stream.html#torch.cpu.Stream" title="torch.cpu.Stream"><code class="xref py py-class docutils literal notranslate"><span class="pre">Stream</span></code></a> for a given device.</p></td>
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<tr class="row-odd"><td><p><p id="torch.cpu.is_available"/><a class="reference internal" href="generated/torch.cpu.is_available.html#torch.cpu.is_available" title="torch.cpu.is_available"><code class="xref py py-obj docutils literal notranslate"><span class="pre">is_available</span></code></a></p></td>
<td><p>Returns a bool indicating if CPU is currently available.</p></td>
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<tr class="row-even"><td><p><p id="torch.cpu.synchronize"/><a class="reference internal" href="generated/torch.cpu.synchronize.html#torch.cpu.synchronize" title="torch.cpu.synchronize"><code class="xref py py-obj docutils literal notranslate"><span class="pre">synchronize</span></code></a></p></td>
<td><p>Waits for all kernels in all streams on the CPU device to complete.</p></td>
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<tr class="row-odd"><td><p><p id="torch.cpu.stream"/><a class="reference internal" href="generated/torch.cpu.stream.html#torch.cpu.stream" title="torch.cpu.stream"><code class="xref py py-obj docutils literal notranslate"><span class="pre">stream</span></code></a></p></td>
<td><p>Wrapper around the Context-manager StreamContext that selects a given stream.</p></td>
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<tr class="row-even"><td><p><p id="torch.cpu.set_device"/><a class="reference internal" href="generated/torch.cpu.set_device.html#torch.cpu.set_device" title="torch.cpu.set_device"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_device</span></code></a></p></td>
<td><p>Sets the current device, in CPU we do nothing.</p></td>
</tr>
<tr class="row-odd"><td><p><p id="torch.cpu.device_count"/><a class="reference internal" href="generated/torch.cpu.device_count.html#torch.cpu.device_count" title="torch.cpu.device_count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">device_count</span></code></a></p></td>
<td><p>Returns number of CPU devices (not cores).</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.cpu.StreamContext"/><a class="reference internal" href="generated/torch.cpu.StreamContext.html#torch.cpu.StreamContext" title="torch.cpu.StreamContext"><code class="xref py py-obj docutils literal notranslate"><span class="pre">StreamContext</span></code></a></p></td>
<td><p>Context-manager that selects a given stream.</p></td>
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<div class="section" id="streams-and-events">
<h2>Streams and events<a class="headerlink" href="#streams-and-events" title="Permalink to this heading">¶</a></h2>
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<tr class="row-odd"><td><p><p id="torch.cpu.Stream"/><a class="reference internal" href="generated/torch.cpu.Stream.html#torch.cpu.Stream" title="torch.cpu.Stream"><code class="xref py py-obj docutils literal notranslate"><span class="pre">Stream</span></code></a></p></td>
<td><p>N.B.</p></td>
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