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@@ -1601,6 +1601,20 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="n">lstsq</span><span class="p">,</span>
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<span class="p">)</span>
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<span class="k">class</span> <span class="nc">_TorchCompileInductorWrapper</span><span class="p">:</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">mode</span><span class="p">,</span> <span class="n">passes</span><span class="p">):</span>
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<span class="kn">from</span> <span class="nn">torch._dynamo.eval_frame</span> <span class="kn">import</span> <span class="n">lookup_backend</span>
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<span class="kn">from</span> <span class="nn">torch._inductor.config</span> <span class="kn">import</span> <span class="n">InductorConfigContext</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">compile_fn</span> <span class="o">=</span> <span class="n">lookup_backend</span><span class="p">(</span><span class="s2">&quot;inductor&quot;</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">cm</span> <span class="o">=</span> <span class="n">InductorConfigContext</span><span class="p">(</span><span class="n">mode</span> <span class="k">if</span> <span class="n">mode</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">passes</span><span class="p">)</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">_torchdynamo_orig_callable</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">compile_fn</span>
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<span class="k">def</span> <span class="fm">__call__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">model_</span><span class="p">,</span> <span class="n">inputs_</span><span class="p">):</span>
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<span class="k">with</span> <span class="bp">self</span><span class="o">.</span><span class="n">cm</span><span class="p">:</span>
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<span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">compile_fn</span><span class="p">(</span><span class="n">model_</span><span class="p">,</span> <span class="n">inputs_</span><span class="p">)</span>
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<div class="viewcode-block" id="compile"><a class="viewcode-back" href="../generated/torch.compile.html#torch.compile">[docs]</a><span class="k">def</span> <span class="nf">compile</span><span class="p">(</span><span class="n">model</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Callable</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span> <span class="o">*</span><span class="p">,</span>
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<span class="n">fullgraph</span><span class="p">:</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
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<span class="n">dynamic</span><span class="p">:</span> <span class="n">builtins</span><span class="o">.</span><span class="n">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
@@ -1651,22 +1665,12 @@ <h1>Source code for torch</h1><div class="highlight"><pre>
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<span class="k">return</span> <span class="n">fn</span>
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<span class="kn">import</span> <span class="nn">torch._dynamo</span>
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<span class="kn">from</span> <span class="nn">torch._dynamo.eval_frame</span> <span class="kn">import</span> <span class="n">lookup_backend</span>
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<span class="kn">from</span> <span class="nn">torch._inductor.config</span> <span class="kn">import</span> <span class="n">InductorConfigContext</span>
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<span class="k">if</span> <span class="n">mode</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">passes</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</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;Either mode or passes can be specified, but both can&#39;t be specified at the same time.&quot;</span><span class="p">)</span>
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<span class="k">if</span> <span class="n">mode</span> <span class="ow">is</span> <span class="kc">None</span> <span class="ow">and</span> <span class="n">passes</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
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<span class="n">mode</span> <span class="o">=</span> <span class="s2">&quot;default&quot;</span>
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<span class="k">if</span> <span class="n">backend</span> <span class="o">==</span> <span class="s2">&quot;inductor&quot;</span><span class="p">:</span>
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<span class="n">compile_fn</span> <span class="o">=</span> <span class="n">lookup_backend</span><span class="p">(</span><span class="n">backend</span><span class="p">)</span>
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<span class="n">cm</span> <span class="o">=</span> <span class="n">InductorConfigContext</span><span class="p">(</span><span class="n">mode</span> <span class="k">if</span> <span class="n">mode</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">else</span> <span class="n">passes</span><span class="p">)</span>
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<span class="k">def</span> <span class="nf">_compile_fn</span><span class="p">(</span><span class="n">model_</span><span class="p">,</span> <span class="n">inputs_</span><span class="p">):</span>
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<span class="k">with</span> <span class="n">cm</span><span class="p">:</span>
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<span class="k">return</span> <span class="n">compile_fn</span><span class="p">(</span><span class="n">model_</span><span class="p">,</span> <span class="n">inputs_</span><span class="p">)</span>
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<span class="n">_compile_fn</span><span class="o">.</span><span class="n">_torchdynamo_orig_callable</span> <span class="o">=</span> <span class="n">compile_fn</span> <span class="c1"># type: ignore[attr-defined]</span>
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<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">_dynamo</span><span class="o">.</span><span class="n">optimize</span><span class="p">(</span><span class="n">backend</span><span class="o">=</span><span class="n">backend</span><span class="p">,</span> <span class="n">nopython</span><span class="o">=</span><span class="n">fullgraph</span><span class="p">,</span> <span class="n">dynamic</span><span class="o">=</span><span class="n">dynamic</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)(</span><span class="n">model</span><span class="p">)</span></div>
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<span class="k">def</span> <span class="nf">get_compiler_fn</span><span class="p">(</span><span class="n">compiler_fn</span><span class="p">):</span>
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<span class="kn">from</span> <span class="nn">.debug_utils</span> <span class="kn">import</span> <span class="n">wrap_backend_debug</span>
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<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">compiler_fn</span><span class="p">,</span> <span class="n">torch</span><span class="o">.</span><span class="n">_TorchCompileInductorWrapper</span><span class="p">):</span>
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