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@@ -488,6 +488,7 @@ <h1>Source code for torch._dynamo</h1><div class="highlight"><pre>
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<span class="n">__all__</span> <span class="o">=</span> <span class="p">[</span>
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<span class="s2">&quot;allow_in_graph&quot;</span><span class="p">,</span>
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<span class="s2">&quot;assume_constant_result&quot;</span><span class="p">,</span>
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<span class="s2">&quot;disallow_in_graph&quot;</span><span class="p">,</span>
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<span class="s2">&quot;forbid_in_graph&quot;</span><span class="p">,</span>
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<span class="s2">&quot;graph_break&quot;</span><span class="p">,</span>
@@ -508,6 +509,8 @@ <h1>Source code for torch._dynamo</h1><div class="highlight"><pre>
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<span class="s2">&quot;list_backends&quot;</span><span class="p">,</span>
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<span class="p">]</span>
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<span class="kn">from</span> <span class="nn">.config_utils</span> <span class="kn">import</span> <span class="n">config</span>
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<div class="viewcode-block" id="reset"><a class="viewcode-back" href="../../_dynamo.html#torch._dynamo.reset">[docs]</a><span class="k">def</span> <span class="nf">reset</span><span class="p">():</span>
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<span class="sd">&quot;&quot;&quot;Clear all compile caches and restore initial state&quot;&quot;&quot;</span>

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<span class="k">continue</span>
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<span class="nb">globals</span><span class="p">()[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="nb">getattr</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">_dynamo</span><span class="o">.</span><span class="n">eval_frame</span><span class="p">,</span> <span class="n">name</span><span class="p">)</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">config</span><span class="p">,</span> <span class="n">convert_frame</span><span class="p">,</span> <span class="n">skipfiles</span><span class="p">,</span> <span class="n">utils</span>
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<span class="kn">from</span> <span class="nn">.</span> <span class="kn">import</span> <span class="n">convert_frame</span><span class="p">,</span> <span class="n">skipfiles</span><span class="p">,</span> <span class="n">utils</span>
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<span class="kn">from</span> <span class="nn">.config_utils</span> <span class="kn">import</span> <span class="n">config</span>
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<span class="kn">from</span> <span class="nn">.exc</span> <span class="kn">import</span> <span class="n">ResetRequired</span>
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<span class="kn">from</span> <span class="nn">.mutation_guard</span> <span class="kn">import</span> <span class="n">install_generation_tagging_init</span>
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<span class="kn">from</span> <span class="nn">.types</span> <span class="kn">import</span> <span class="n">DynamoCallback</span>
@@ -530,6 +531,12 @@ <h1>Source code for torch._dynamo.eval_frame</h1><div class="highlight"><pre>
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<span class="n">null_context</span> <span class="o">=</span> <span class="n">contextlib</span><span class="o">.</span><span class="n">nullcontext</span>
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<span class="kn">from</span> <span class="nn">torch.fx.experimental.symbolic_shapes</span> <span class="kn">import</span> <span class="n">StrictMinMaxConstraint</span>
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<span class="k">class</span> <span class="nc">Unset</span><span class="p">(</span><span class="n">Enum</span><span class="p">):</span>
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<span class="c1"># TODO: We don&#39;t need t_id; we can get it off of w_tensor</span>
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<span class="n">t_id</span><span class="p">:</span> <span class="nb">int</span>
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<span class="n">dim</span><span class="p">:</span> <span class="nb">int</span>
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<span class="n">torch</span><span class="o">.</span><span class="n">fx</span><span class="o">.</span><span class="n">experimental</span><span class="o">.</span><span class="n">symbolic_shapes</span><span class="o">.</span><span class="n">StrictMinMaxConstraint</span>
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<span class="p">]</span>
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<span class="c1"># NOTE(avik): In the future, this could be Union[StrictMinMaxConstraint, &lt;other kinds&gt;]</span>
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<span class="n">constraint_range</span><span class="p">:</span> <span class="n">StrictMinMaxConstraint</span>
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<span class="k">def</span> <span class="nf">_clone_with_range</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lower</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">upper</span><span class="o">=</span><span class="n">sympy</span><span class="o">.</span><span class="n">oo</span><span class="p">):</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">constraint_range</span><span class="o">.</span><span class="n">vr</span> <span class="o">&amp;</span> <span class="n">ValueRanges</span><span class="p">(</span><span class="n">lower</span><span class="o">=</span><span class="n">lower</span><span class="p">,</span> <span class="n">upper</span><span class="o">=</span><span class="n">upper</span><span class="p">)</span>
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<span class="p">)</span>
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<span class="k">return</span> <span class="n">Constraint</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">w_tensor</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">t_id</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">dim</span><span class="p">,</span> <span class="n">constraint_range</span><span class="p">)</span>
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<span class="k">def</span> <span class="fm">__ge__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lower</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">_clone_with_range</span><span class="p">(</span><span class="n">lower</span><span class="o">=</span><span class="n">lower</span><span class="p">)</span>
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<span class="k">def</span> <span class="fm">__gt__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">lower</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">_clone_with_range</span><span class="p">(</span><span class="n">lower</span><span class="o">=</span><span class="n">lower</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
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<span class="k">def</span> <span class="fm">__le__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">upper</span><span class="p">):</span>
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<span class="k">def</span> <span class="fm">__lt__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">upper</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">_clone_with_range</span><span class="p">(</span><span class="n">upper</span><span class="o">=</span><span class="n">upper</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
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<span class="k">def</span> <span class="fm">__bool__</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="c1"># NOTE(avik): We do not support compound expressions like a &lt;= x &lt;= b.</span>
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<span class="c1"># This is because Python implicitly desugars them into bool(a &lt;= x) and bool(x &lt;= b),</span>
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<span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
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<span class="s2">&quot;Cannot determine truth value of Constraint. &quot;</span>
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<span class="s2">&quot;If you are trying to combine Constraints with logical connectives, &quot;</span>
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<span class="s2">&quot;you can specify them separately instead.&quot;</span>
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<span class="p">)</span>
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<div class="viewcode-block" id="export"><a class="viewcode-back" href="../../../_dynamo.html#torch._dynamo.export">[docs]</a><span class="k">def</span> <span class="nf">export</span><span class="p">(</span>

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