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<li class="toctree-l1"><a class="reference internal" href="notes/amp_examples.html">Automatic Mixed Precision examples</a></li>
<li class="toctree-l1"><a class="reference internal" href="notes/autograd.html">Autograd mechanics</a></li>
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<div class="section" id="module-torch.mps">
<span id="torch-mps"></span><h1>torch.mps<a class="headerlink" href="#module-torch.mps" title="Permalink to this heading">¶</a></h1>
<p>This package enables an interface for accessing MPS (Metal Performance Shaders) backend in Python.
Metal is Apple’s API for programming metal GPU (graphics processor unit). Using MPS means that increased
performance can be achieved, by running work on the metal GPU(s).
See <a class="reference external" href="https://developer.apple.com/documentation/metalperformanceshaders">https://developer.apple.com/documentation/metalperformanceshaders</a> for more details.</p>
<table class="autosummary longtable docutils colwidths-auto align-default">
<tbody>
<tr class="row-odd"><td><p><p id="torch.mps.device_count"/><a class="reference internal" href="generated/torch.mps.device_count.html#torch.mps.device_count" title="torch.mps.device_count"><code class="xref py py-obj docutils literal notranslate"><span class="pre">device_count</span></code></a></p></td>
<td><p>Returns the number of available MPS devices.</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.mps.synchronize"/><a class="reference internal" href="generated/torch.mps.synchronize.html#torch.mps.synchronize" title="torch.mps.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 a MPS device to complete.</p></td>
</tr>
<tr class="row-odd"><td><p><p id="torch.mps.get_rng_state"/><a class="reference internal" href="generated/torch.mps.get_rng_state.html#torch.mps.get_rng_state" title="torch.mps.get_rng_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">get_rng_state</span></code></a></p></td>
<td><p>Returns the random number generator state as a ByteTensor.</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.mps.set_rng_state"/><a class="reference internal" href="generated/torch.mps.set_rng_state.html#torch.mps.set_rng_state" title="torch.mps.set_rng_state"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_rng_state</span></code></a></p></td>
<td><p>Sets the random number generator state.</p></td>
</tr>
<tr class="row-odd"><td><p><p id="torch.mps.manual_seed"/><a class="reference internal" href="generated/torch.mps.manual_seed.html#torch.mps.manual_seed" title="torch.mps.manual_seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">manual_seed</span></code></a></p></td>
<td><p>Sets the seed for generating random numbers.</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.mps.seed"/><a class="reference internal" href="generated/torch.mps.seed.html#torch.mps.seed" title="torch.mps.seed"><code class="xref py py-obj docutils literal notranslate"><span class="pre">seed</span></code></a></p></td>
<td><p>Sets the seed for generating random numbers to a random number.</p></td>
</tr>
<tr class="row-odd"><td><p><p id="torch.mps.empty_cache"/><a class="reference internal" href="generated/torch.mps.empty_cache.html#torch.mps.empty_cache" title="torch.mps.empty_cache"><code class="xref py py-obj docutils literal notranslate"><span class="pre">empty_cache</span></code></a></p></td>
<td><p>Releases all unoccupied cached memory currently held by the caching allocator so that those can be used in other GPU applications.</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.mps.set_per_process_memory_fraction"/><a class="reference internal" href="generated/torch.mps.set_per_process_memory_fraction.html#torch.mps.set_per_process_memory_fraction" title="torch.mps.set_per_process_memory_fraction"><code class="xref py py-obj docutils literal notranslate"><span class="pre">set_per_process_memory_fraction</span></code></a></p></td>
<td><p>Set memory fraction for limiting process's memory allocation on MPS device.</p></td>
</tr>
<tr class="row-odd"><td><p><p id="torch.mps.current_allocated_memory"/><a class="reference internal" href="generated/torch.mps.current_allocated_memory.html#torch.mps.current_allocated_memory" title="torch.mps.current_allocated_memory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">current_allocated_memory</span></code></a></p></td>
<td><p>Returns the current GPU memory occupied by tensors in bytes.</p></td>
</tr>
<tr class="row-even"><td><p><p id="torch.mps.driver_allocated_memory"/><a class="reference internal" href="generated/torch.mps.driver_allocated_memory.html#torch.mps.driver_allocated_memory" title="torch.mps.driver_allocated_memory"><code class="xref py py-obj docutils literal notranslate"><span class="pre">driver_allocated_memory</span></code></a></p></td>
<td><p>Returns total GPU memory allocated by Metal driver for the process in bytes.</p></td>
</tr>
</tbody>
</table>
<div class="section" id="mps-profiler">
<h2>MPS Profiler<a class="headerlink" href="#mps-profiler" title="Permalink to this heading">¶</a></h2>
<table class="autosummary longtable docutils colwidths-auto align-default">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.mps.profiler.start.html#torch.mps.profiler.start" title="torch.mps.profiler.start"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profiler.start</span></code></a></p></td>
<td><p>Start OS Signpost tracing from MPS backend.</p></td>
</tr>
<tr class="row-even"><td><p><a class="reference internal" href="generated/torch.mps.profiler.stop.html#torch.mps.profiler.stop" title="torch.mps.profiler.stop"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profiler.stop</span></code></a></p></td>
<td><p>Stops generating OS Signpost tracing from MPS backend.</p></td>
</tr>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.mps.profiler.profile.html#torch.mps.profiler.profile" title="torch.mps.profiler.profile"><code class="xref py py-obj docutils literal notranslate"><span class="pre">profiler.profile</span></code></a></p></td>
<td><p>Context Manager to enabling generating OS Signpost tracing from MPS backend.</p></td>
</tr>
</tbody>
</table>
</div>
<div class="section" id="mps-event">
<h2>MPS Event<a class="headerlink" href="#mps-event" title="Permalink to this heading">¶</a></h2>
<table class="autosummary longtable docutils colwidths-auto align-default">
<tbody>
<tr class="row-odd"><td><p><a class="reference internal" href="generated/torch.mps.event.Event.html#torch.mps.event.Event" title="torch.mps.event.Event"><code class="xref py py-obj docutils literal notranslate"><span class="pre">event.Event</span></code></a></p></td>
<td><p>Wrapper around an MPS event.</p></td>
</tr>
</tbody>
</table>
<span class="target" id="module-torch.mps.event"></span><span class="target" id="module-torch.mps.profiler"></span></div>
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