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<h1>Source code for torch.mtia</h1><div class="highlight"><pre>
<span></span><span class="c1"># mypy: allow-untyped-defs</span>
<span class="sa">r</span><span class="sd">"""</span>
<span class="sd">This package enables an interface for accessing MTIA backend in python</span>
<span class="sd">"""</span>
<span class="kn">import</span> <span class="nn">threading</span>
<span class="kn">import</span> <span class="nn">warnings</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">Callable</span><span class="p">,</span> <span class="n">Dict</span><span class="p">,</span> <span class="n">List</span><span class="p">,</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Tuple</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">torch</span> <span class="kn">import</span> <span class="n">device</span> <span class="k">as</span> <span class="n">_device</span><span class="p">,</span> <span class="n">Tensor</span>
<span class="kn">from</span> <span class="nn">torch._utils</span> <span class="kn">import</span> <span class="n">_dummy_type</span><span class="p">,</span> <span class="n">_LazySeedTracker</span><span class="p">,</span> <span class="n">classproperty</span>
<span class="kn">from</span> <span class="nn">torch.types</span> <span class="kn">import</span> <span class="n">Device</span>
<span class="kn">from</span> <span class="nn">._utils</span> <span class="kn">import</span> <span class="n">_get_device_index</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="c1"># torch.mtia.Event/Stream is alias of torch.Event/Stream</span>
<span class="n">Event</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">Event</span>
<span class="n">Stream</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">Stream</span>
<span class="n">_initialized</span> <span class="o">=</span> <span class="kc">False</span>
<span class="n">_queued_calls</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span>
<span class="n">Tuple</span><span class="p">[</span><span class="n">Callable</span><span class="p">[[],</span> <span class="kc">None</span><span class="p">],</span> <span class="n">List</span><span class="p">[</span><span class="nb">str</span><span class="p">]]</span>
<span class="p">]</span> <span class="o">=</span> <span class="p">[]</span> <span class="c1"># don't invoke these until initialization occurs</span>
<span class="n">_tls</span> <span class="o">=</span> <span class="n">threading</span><span class="o">.</span><span class="n">local</span><span class="p">()</span>
<span class="n">_initialization_lock</span> <span class="o">=</span> <span class="n">threading</span><span class="o">.</span><span class="n">Lock</span><span class="p">()</span>
<span class="n">_lazy_seed_tracker</span> <span class="o">=</span> <span class="n">_LazySeedTracker</span><span class="p">()</span>
<div class="viewcode-block" id="init"><a class="viewcode-back" href="../../generated/torch.mtia.init.html#torch.mtia.init">[docs]</a><span class="k">def</span> <span class="nf">init</span><span class="p">():</span>
<span class="n">_lazy_init</span><span class="p">()</span></div>
<div class="viewcode-block" id="is_initialized"><a class="viewcode-back" href="../../generated/torch.mtia.is_initialized.html#torch.mtia.is_initialized">[docs]</a><span class="k">def</span> <span class="nf">is_initialized</span><span class="p">():</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Return whether PyTorch's MTIA state has been initialized."""</span>
<span class="k">return</span> <span class="n">_initialized</span> <span class="ow">and</span> <span class="ow">not</span> <span class="n">_is_in_bad_fork</span><span class="p">()</span></div>
<span class="k">def</span> <span class="nf">_is_in_bad_fork</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="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_mtia_isInBadFork</span><span class="p">()</span>
<span class="k">def</span> <span class="nf">_lazy_init</span><span class="p">()</span> <span class="o">-></span> <span class="kc">None</span><span class="p">:</span>
<span class="k">global</span> <span class="n">_initialized</span><span class="p">,</span> <span class="n">_queued_calls</span>
<span class="k">if</span> <span class="n">is_initialized</span><span class="p">()</span> <span class="ow">or</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">_tls</span><span class="p">,</span> <span class="s2">"is_initializing"</span><span class="p">):</span>
<span class="k">return</span>
<span class="k">with</span> <span class="n">_initialization_lock</span><span class="p">:</span>
<span class="c1"># We be double-checking locking, boys! This is OK because</span>
<span class="c1"># the above test was GIL protected anyway. The inner test</span>
<span class="c1"># is for when a thread blocked on some other thread which was</span>
<span class="c1"># doing the initialization; when they get the lock, they will</span>
<span class="c1"># find there is nothing left to do.</span>
<span class="k">if</span> <span class="n">is_initialized</span><span class="p">():</span>
<span class="k">return</span>
<span class="c1"># It is important to prevent other threads from entering _lazy_init</span>
<span class="c1"># immediately, while we are still guaranteed to have the GIL, because some</span>
<span class="c1"># of the C calls we make below will release the GIL</span>
<span class="k">if</span> <span class="n">_is_in_bad_fork</span><span class="p">():</span>
<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
<span class="s2">"Cannot re-initialize MTIA in forked subprocess. To use MTIA with "</span>
<span class="s2">"multiprocessing, you must use the 'spawn' start method"</span>
<span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">_is_compiled</span><span class="p">():</span>
<span class="k">raise</span> <span class="ne">AssertionError</span><span class="p">(</span>
<span class="s2">"Torch not compiled with MTIA enabled. "</span>
<span class="s2">"Ensure you have `import mtia.host_runtime.torch_mtia` in your python "</span>
<span class="s2">"src file and include `//mtia/host_runtime/torch_mtia:torch_mtia` as "</span>
<span class="s2">"your target dependency!"</span>
<span class="p">)</span>
<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_mtia_init</span><span class="p">()</span>
<span class="c1"># Some of the queued calls may reentrantly call _lazy_init();</span>
<span class="c1"># we need to just return without initializing in that case.</span>
<span class="c1"># However, we must not let any *other* threads in!</span>
<span class="n">_tls</span><span class="o">.</span><span class="n">is_initializing</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">_queued_calls</span><span class="o">.</span><span class="n">extend</span><span class="p">(</span><span class="n">calls</span> <span class="k">for</span> <span class="n">calls</span> <span class="ow">in</span> <span class="n">_lazy_seed_tracker</span><span class="o">.</span><span class="n">get_calls</span><span class="p">()</span> <span class="k">if</span> <span class="n">calls</span><span class="p">)</span>
<span class="k">try</span><span class="p">:</span>
<span class="k">for</span> <span class="n">queued_call</span><span class="p">,</span> <span class="n">orig_traceback</span> <span class="ow">in</span> <span class="n">_queued_calls</span><span class="p">:</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">queued_call</span><span class="p">()</span>
<span class="k">except</span> <span class="ne">Exception</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
<span class="n">msg</span> <span class="o">=</span> <span class="p">(</span>
<span class="sa">f</span><span class="s2">"MTIA call failed lazily at initialization with error: </span><span class="si">{</span><span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">)</span><span class="si">}</span><span class="se">\n\n</span><span class="s2">"</span>
<span class="sa">f</span><span class="s2">"MTIA call was originally invoked at:</span><span class="se">\n\n</span><span class="si">{</span><span class="s1">''</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">orig_traceback</span><span class="p">)</span><span class="si">}</span><span class="s2">"</span>
<span class="p">)</span>
<span class="k">raise</span> <span class="n">DeferredMtiaCallError</span><span class="p">(</span><span class="n">msg</span><span class="p">)</span> <span class="kn">from</span> <span class="nn">e</span>
<span class="k">finally</span><span class="p">:</span>
<span class="nb">delattr</span><span class="p">(</span><span class="n">_tls</span><span class="p">,</span> <span class="s2">"is_initializing"</span><span class="p">)</span>
<span class="n">_initialized</span> <span class="o">=</span> <span class="kc">True</span>
<div class="viewcode-block" id="DeferredMtiaCallError"><a class="viewcode-back" href="../../generated/torch.mtia.DeferredMtiaCallError.html#torch.mtia.DeferredMtiaCallError">[docs]</a><span class="k">class</span> <span class="nc">DeferredMtiaCallError</span><span class="p">(</span><span class="ne">Exception</span><span class="p">):</span>
<span class="k">pass</span></div>
<span class="k">def</span> <span class="nf">_is_compiled</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">"""Return true if compiled with MTIA support."""</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">_mtia_isBuilt</span><span class="p">()</span>
<div class="viewcode-block" id="is_available"><a class="viewcode-back" href="../../generated/torch.mtia.is_available.html#torch.mtia.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">"""Return true if MTIA device is available"""</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">_is_compiled</span><span class="p">():</span>
<span class="k">return</span> <span class="kc">False</span>
<span class="c1"># MTIA has to init devices first to know if there is any devices available.</span>
<span class="k">return</span> <span class="n">device_count</span><span class="p">()</span> <span class="o">></span> <span class="mi">0</span></div>
<div class="viewcode-block" id="synchronize"><a class="viewcode-back" href="../../generated/torch.mtia.synchronize.html#torch.mtia.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">Optional</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="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 jobs in all streams on a MTIA device to complete."""</span>
<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="n">device</span><span class="p">):</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">_mtia_deviceSynchronize</span><span class="p">()</span></div>
<div class="viewcode-block" id="device_count"><a class="viewcode-back" href="../../generated/torch.mtia.device_count.html#torch.mtia.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">"""Return the number of MTIA devices available."""</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">_accelerator_hooks_device_count</span><span class="p">()</span></div>
<div class="viewcode-block" id="current_device"><a class="viewcode-back" href="../../generated/torch.mtia.current_device.html#torch.mtia.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">int</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Return the index of a currently selected device."""</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">_accelerator_hooks_get_current_device</span><span class="p">()</span></div>
<div class="viewcode-block" id="current_stream"><a class="viewcode-back" href="../../generated/torch.mtia.current_stream.html#torch.mtia.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">Optional</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="o">-></span> <span class="n">Stream</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Return the currently selected :class:`Stream` for a given device.</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int, optional): selected device. Returns</span>
<span class="sd"> the currently selected :class:`Stream` for the current device, given</span>
<span class="sd"> by :func:`~torch.mtia.current_device`, if :attr:`device` is ``None``</span>
<span class="sd"> (default).</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">_mtia_getCurrentStream</span><span class="p">(</span><span class="n">_get_device_index</span><span class="p">(</span><span class="n">device</span><span class="p">,</span> <span class="n">optional</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span></div>
<div class="viewcode-block" id="default_stream"><a class="viewcode-back" href="../../generated/torch.mtia.default_stream.html#torch.mtia.default_stream">[docs]</a><span class="k">def</span> <span class="nf">default_stream</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">Optional</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="o">-></span> <span class="n">Stream</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Return the default :class:`Stream` for a given device.</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int, optional): selected device. Returns</span>
<span class="sd"> the default :class:`Stream` for the current device, given by</span>
<span class="sd"> :func:`~torch.mtia.current_device`, if :attr:`device` is ``None``</span>
<span class="sd"> (default).</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">_mtia_getDefaultStream</span><span class="p">(</span><span class="n">_get_device_index</span><span class="p">(</span><span class="n">device</span><span class="p">,</span> <span class="n">optional</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span></div>
<div class="viewcode-block" id="get_device_capability"><a class="viewcode-back" href="../../generated/torch.mtia.get_device_capability.html#torch.mtia.get_device_capability">[docs]</a><span class="k">def</span> <span class="nf">get_device_capability</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">Optional</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="o">-></span> <span class="n">Tuple</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">int</span><span class="p">]:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Return capability of a given device as a tuple of (major version, minor version).</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int, optional) selected device. Returns</span>
<span class="sd"> statistics for the current device, given by current_device(),</span>
<span class="sd"> if device is None (default).</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">_mtia_getDeviceCapability</span><span class="p">(</span><span class="n">_get_device_index</span><span class="p">(</span><span class="n">device</span><span class="p">,</span> <span class="n">optional</span><span class="o">=</span><span class="kc">True</span><span class="p">))</span></div>
<div class="viewcode-block" id="empty_cache"><a class="viewcode-back" href="../../generated/torch.mtia.empty_cache.html#torch.mtia.empty_cache">[docs]</a><span class="k">def</span> <span class="nf">empty_cache</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">"""Empty the MTIA device cache."""</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">_mtia_emptyCache</span><span class="p">()</span></div>
<div class="viewcode-block" id="set_stream"><a class="viewcode-back" href="../../generated/torch.mtia.set_stream.html#torch.mtia.set_stream">[docs]</a><span class="k">def</span> <span class="nf">set_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="w"> </span><span class="sa">r</span><span class="sd">"""Set the current stream.This is a wrapper API to set the stream.</span>
<span class="sd"> Usage of this function is discouraged in favor of the ``stream``</span>
<span class="sd"> context manager.</span>
<span class="sd"> Args:</span>
<span class="sd"> stream (Stream): selected stream. This function is a no-op</span>
<span class="sd"> if this argument is ``None``.</span>
<span class="sd"> """</span>
<span class="k">if</span> <span class="n">stream</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</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">_mtia_setCurrentStream</span><span class="p">(</span><span class="n">stream</span><span class="p">)</span></div>
<div class="viewcode-block" id="set_device"><a class="viewcode-back" href="../../generated/torch.mtia.set_device.html#torch.mtia.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">"""Set the current device.</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int): selected device. This function is a no-op</span>
<span class="sd"> if this argument is negative.</span>
<span class="sd"> """</span>
<span class="n">device</span> <span class="o">=</span> <span class="n">_get_device_index</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
<span class="k">if</span> <span class="n">device</span> <span class="o">>=</span> <span class="mi">0</span><span class="p">:</span>
<span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_accelerator_hooks_set_current_device</span><span class="p">(</span><span class="n">device</span><span class="p">)</span></div>
<div class="viewcode-block" id="device"><a class="viewcode-back" href="../../generated/torch.mtia.device.html#torch.mtia.device">[docs]</a><span class="k">class</span> <span class="nc">device</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Context-manager that changes the selected device.</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int): device index to select. It's a no-op if</span>
<span class="sd"> this argument is a negative integer or ``None``.</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">device</span><span class="p">:</span> <span class="n">Any</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="n">_get_device_index</span><span class="p">(</span><span class="n">device</span><span class="p">,</span> <span class="n">optional</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">prev_idx</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</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="bp">self</span><span class="o">.</span><span class="n">prev_idx</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_accelerator_hooks_maybe_exchange_device</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">idx</span><span class="p">)</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="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">_C</span><span class="o">.</span><span class="n">_accelerator_hooks_maybe_exchange_device</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">prev_idx</span><span class="p">)</span>
<span class="k">return</span> <span class="kc">False</span></div>
<div class="viewcode-block" id="StreamContext"><a class="viewcode-back" href="../../generated/torch.mtia.StreamContext.html#torch.mtia.StreamContext">[docs]</a><span class="k">class</span> <span class="nc">StreamContext</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"> All MTIA kernels queued within its context will be enqueued on a selected</span>
<span class="sd"> stream.</span>
<span class="sd"> Args:</span>
<span class="sd"> Stream (Stream): selected stream. This manager is a no-op if it's</span>
<span class="sd"> ``None``.</span>
<span class="sd"> .. note:: Streams are per-device.</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="s2">"torch.mtia.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="n">Optional</span><span class="p">[</span><span class="s2">"torch.mtia.Stream"</span><span class="p">]):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">cur_stream</span> <span class="o">=</span> <span class="kc">None</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">idx</span> <span class="o">=</span> <span class="n">_get_device_index</span><span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
<span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">is_scripting</span><span class="p">():</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">=</span> <span class="o">-</span><span class="mi">1</span>
<span class="bp">self</span><span class="o">.</span><span class="n">src_prev_stream</span> <span class="o">=</span> <span class="p">(</span>
<span class="kc">None</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">is_scripting</span><span class="p">()</span> <span class="k">else</span> <span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">default_stream</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dst_prev_stream</span> <span class="o">=</span> <span class="p">(</span>
<span class="kc">None</span> <span class="k">if</span> <span class="ow">not</span> <span class="n">torch</span><span class="o">.</span><span class="n">jit</span><span class="o">.</span><span class="n">is_scripting</span><span class="p">()</span> <span class="k">else</span> <span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">default_stream</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="p">)</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="c1"># Local cur_stream variable for type refinement</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="c1"># Return if stream is None or MTIA device not available</span>
<span class="k">if</span> <span class="n">cur_stream</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">==</span> <span class="o">-</span><span class="mi">1</span><span class="p">:</span>
<span class="k">return</span>
<span class="bp">self</span><span class="o">.</span><span class="n">src_prev_stream</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">current_stream</span><span class="p">(</span><span class="kc">None</span><span class="p">)</span>
<span class="c1"># If the stream is not on the current device, then</span>
<span class="c1"># set the current stream on the device</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_prev_stream</span><span class="o">.</span><span class="n">device</span> <span class="o">!=</span> <span class="n">cur_stream</span><span class="o">.</span><span class="n">device</span><span class="p">:</span>
<span class="k">with</span> <span class="n">device</span><span class="p">(</span><span class="n">cur_stream</span><span class="o">.</span><span class="n">device</span><span class="p">):</span>
<span class="bp">self</span><span class="o">.</span><span class="n">dst_prev_stream</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">current_stream</span><span class="p">(</span><span class="n">cur_stream</span><span class="o">.</span><span class="n">device</span><span class="p">)</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">set_stream</span><span class="p">(</span><span class="n">cur_stream</span><span class="p">)</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="c1"># Local cur_stream variable for type refinement</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="c1"># If stream is None or no MTIA device available, return</span>
<span class="k">if</span> <span class="n">cur_stream</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">or</span> <span class="bp">self</span><span class="o">.</span><span class="n">idx</span> <span class="o">==</span> <span class="o">-</span><span class="mi">1</span><span class="p">:</span>
<span class="k">return</span>
<span class="c1"># Reset the stream on the original device</span>
<span class="c1"># and destination device</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">src_prev_stream</span><span class="o">.</span><span class="n">device</span> <span class="o">!=</span> <span class="n">cur_stream</span><span class="o">.</span><span class="n">device</span><span class="p">:</span> <span class="c1"># type: ignore[union-attr]</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">set_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">dst_prev_stream</span><span class="p">)</span> <span class="c1"># type: ignore[arg-type]</span>
<span class="n">torch</span><span class="o">.</span><span class="n">mtia</span><span class="o">.</span><span class="n">set_stream</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">src_prev_stream</span><span class="p">)</span> <span class="c1"># type: ignore[arg-type]</span></div>
<div class="viewcode-block" id="stream"><a class="viewcode-back" href="../../generated/torch.mtia.stream.html#torch.mtia.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">Optional</span><span class="p">[</span><span class="s2">"torch.mtia.Stream"</span><span class="p">])</span> <span class="o">-></span> <span class="n">StreamContext</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Wrap around the Context-manager StreamContext that selects a given stream.</span>
<span class="sd"> Arguments:</span>
<span class="sd"> stream (Stream): selected stream. This manager is a no-op if it's</span>
<span class="sd"> ``None``.</span>
<span class="sd"> ..Note:: In eager mode stream is of type Stream class while in JIT it doesn't support torch.mtia.stream</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="get_rng_state"><a class="viewcode-back" href="../../generated/torch.mtia.get_rng_state.html#torch.mtia.get_rng_state">[docs]</a><span class="k">def</span> <span class="nf">get_rng_state</span><span class="p">(</span><span class="n">device</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">str</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"mtia"</span><span class="p">)</span> <span class="o">-></span> <span class="n">Tensor</span><span class="p">:</span>
<span class="w"> </span><span class="sa">r</span><span class="sd">"""Returns the random number generator state as a ByteTensor.</span>
<span class="sd"> Args:</span>
<span class="sd"> device (torch.device or int, optional): The device to return the RNG state of.</span>
<span class="sd"> Default: ``'mtia'`` (i.e., ``torch.device('mtia')``, the current mtia device).</span>
<span class="sd"> """</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span>
<span class="s2">"get_rng_state is not implemented in torch.mtia"</span><span class="p">,</span>
<span class="ne">UserWarning</span><span class="p">,</span>
<span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
<span class="p">)</span>
<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">zeros</span><span class="p">([</span><span class="mi">1</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">uint8</span><span class="p">,</span> <span class="n">device</span><span class="o">=</span><span class="n">device</span><span class="p">)</span></div>
<div class="viewcode-block" id="set_rng_state"><a class="viewcode-back" href="../../generated/torch.mtia.set_rng_state.html#torch.mtia.set_rng_state">[docs]</a><span class="k">def</span> <span class="nf">set_rng_state</span><span class="p">(</span>
<span class="n">new_state</span><span class="p">:</span> <span class="n">Tensor</span><span class="p">,</span> <span class="n">device</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="nb">str</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">]</span> <span class="o">=</span> <span class="s2">"mtia"</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 random number generator state.</span>
<span class="sd"> Args:</span>
<span class="sd"> new_state (torch.ByteTensor): The desired state</span>
<span class="sd"> device (torch.device or int, optional): The device to set the RNG state.</span>
<span class="sd"> Default: ``'mtia'`` (i.e., ``torch.device('mtia')``, the current mtia device).</span>
<span class="sd"> """</span>
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span>
<span class="s2">"set_rng_state is not implemented in torch.mtia"</span><span class="p">,</span>
<span class="ne">UserWarning</span><span class="p">,</span>
<span class="n">stacklevel</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span>
<span class="p">)</span></div>
<span class="kn">from</span> <span class="nn">.memory</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="p">[</span>
<span class="s2">"init"</span><span class="p">,</span>
<span class="s2">"is_available"</span><span class="p">,</span>
<span class="s2">"is_initialized"</span><span class="p">,</span>
<span class="s2">"synchronize"</span><span class="p">,</span>
<span class="s2">"device_count"</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">"default_stream"</span><span class="p">,</span>
<span class="s2">"memory_stats"</span><span class="p">,</span>
<span class="s2">"max_memory_allocated"</span><span class="p">,</span>
<span class="s2">"get_device_capability"</span><span class="p">,</span>
<span class="s2">"empty_cache"</span><span class="p">,</span>
<span class="s2">"set_device"</span><span class="p">,</span>
<span class="s2">"set_stream"</span><span class="p">,</span>
<span class="s2">"stream"</span><span class="p">,</span>
<span class="s2">"device"</span><span class="p">,</span>
<span class="s2">"set_rng_state"</span><span class="p">,</span>
<span class="s2">"get_rng_state"</span><span class="p">,</span>
<span class="p">]</span>
</pre></div>
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