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<span class="k">return</span> <span class="n">profiled_future</span>
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<div class="viewcode-block" id="emit_itt"><a class="viewcode-back" href="../../../autograd.html#torch.autograd.profiler.emit_itt">[docs]</a><span class="k">class</span> <span class="nc">emit_itt</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
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<span class="sd">&quot;&quot;&quot;Context manager that makes every autograd operation emit an ITT range.</span>
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<span class="sd"> It is useful when running the program under Intel(R) VTune Profiler::</span>
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<span class="sd"> vtune &lt;--vtune_flags&gt; &lt;regular command here&gt;</span>
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<span class="sd"> The Instrumentation and Tracing Technology (ITT) API enables your application to generate and</span>
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<span class="sd"> This context manager is to annotate Intel(R) VTune Profiling trace. With help of this context manager,</span>
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<span class="sd"> .. warning:</span>
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<span class="sd"> Args:</span>
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<span class="sd"> enabled (bool, optional, default=True): Setting ``enabled=False`` makes this context manager a no-op.</span>
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<span class="sd"> Default: ``True``.</span>
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<span class="sd"> record_shapes (bool, optional, default=False): If ``record_shapes=True``, the itt range wrapping</span>
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<span class="sd"> by that op, in the following format:</span>
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<span class="sd"> Non-tensor arguments will be represented by ``[]``.</span>
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<span class="sd"> Arguments will be listed in the order they are received by the backend op.</span>
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<span class="sd"> Please note that this order may not match the order in which those arguments were passed</span>
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<span class="sd"> on the Python side. Also note that shape recording may increase the overhead of itt range creation.</span>
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<span class="sd"> Example:</span>
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<span class="sd"> ... model(x)</span>
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<span class="sd"> &quot;&quot;&quot;</span>
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<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">enabled</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">record_shapes</span><span class="o">=</span><span class="kc">False</span><span class="p">):</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">enabled</span> <span class="o">=</span> <span class="n">enabled</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">entered</span> <span class="o">=</span> <span class="kc">False</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">record_shapes</span> <span class="o">=</span> <span class="n">record_shapes</span>
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<span class="k">def</span> <span class="fm">__enter__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">enabled</span><span class="p">:</span>
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<span class="k">return</span>
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<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">entered</span><span class="p">:</span>
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<span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span><span class="s2">&quot;ITT annotation context manager is not reentrant&quot;</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">entered</span> <span class="o">=</span> <span class="kc">True</span>
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<span class="n">_enable_profiler</span><span class="p">(</span>
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<span class="n">ProfilerConfig</span><span class="p">(</span>
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<span class="n">ProfilerState</span><span class="o">.</span><span class="n">ITT</span><span class="p">,</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">record_shapes</span><span class="p">,</span>
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<span class="kc">False</span><span class="p">,</span>
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<span class="kc">False</span><span class="p">,</span>
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<span class="kc">False</span><span class="p">,</span>
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<span class="kc">False</span><span class="p">,</span>
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<span class="n">_ExperimentalConfig</span><span class="p">()),</span>
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<span class="nb">set</span><span class="p">()</span>
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<span class="p">)</span>
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<span class="k">return</span> <span class="bp">self</span>
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<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="n">exc_type</span><span class="p">,</span> <span class="n">exc_val</span><span class="p">,</span> <span class="n">exc_tb</span><span class="p">):</span>
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<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">enabled</span><span class="p">:</span>
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<span class="k">return</span>
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<span class="n">_disable_profiler</span><span class="p">()</span>
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<span class="k">return</span> <span class="kc">False</span></div>
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<div class="viewcode-block" id="emit_nvtx"><a class="viewcode-back" href="../../../autograd.html#torch.autograd.profiler.emit_nvtx">[docs]</a><span class="k">class</span> <span class="nc">emit_nvtx</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
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<span class="sd">&quot;&quot;&quot;Context manager that makes every autograd operation emit an NVTX range.</span>
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