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<div class="section" id="module-torch.utils.module_tracker">
<span id="torch-utils-module-tracker"></span><h1>torch.utils.module_tracker<a class="headerlink" href="#module-torch.utils.module_tracker" title="Permalink to this heading">¶</a></h1>
<p>This utility can be used to track the current position inside an <a class="reference internal" href="generated/torch.nn.Module.html#torch.nn.Module" title="torch.nn.Module"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.nn.Module</span></code></a> hierarchy.
It can be used within other tracking tools to be able to easily associate measured quantities to user-friendly names. This is used in particular in the FlopCounterMode today.</p>
<dl class="py class">
<dt class="sig sig-object py" id="torch.utils.module_tracker.ModuleTracker">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">torch.utils.module_tracker.</span></span><span class="sig-name descname"><span class="pre">ModuleTracker</span></span><a class="reference internal" href="_modules/torch/utils/module_tracker.html#ModuleTracker"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#torch.utils.module_tracker.ModuleTracker" title="Permalink to this definition">¶</a></dt>
<dd><p><code class="docutils literal notranslate"><span class="pre">ModuleTracker</span></code> is a context manager that tracks the nn.Module hierarchy during execution
so that other system can query which Module is currently being executed (or its backward is being
executed).</p>
<p>You can access the <code class="docutils literal notranslate"><span class="pre">parents</span></code> attribute on this context manager to get the set of all the
Modules currently being executed via their fqn (fully qualified name, also used as the key within
the state_dict).
You can access the <code class="docutils literal notranslate"><span class="pre">is_bw</span></code> attribute to know if you are currently running in backward or not.</p>
<p>Note that <code class="docutils literal notranslate"><span class="pre">parents</span></code> is never empty and always contains the “Global” key. The <code class="docutils literal notranslate"><span class="pre">is_bw</span></code> flag
will remain <code class="docutils literal notranslate"><span class="pre">True</span></code> after the forward until another Module is executed. If you need it to be
more accurate, please submit an issue requesting this. Adding a map from fqn to the module instance
is possible but not done yet, please submit an issue requesting this if you need it.</p>
<p>Example usage</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">mod</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">)</span>
<span class="k">with</span> <span class="n">ModuleTracker</span><span class="p">()</span> <span class="k">as</span> <span class="n">tracker</span><span class="p">:</span>
<span class="c1"># Access anything during the forward pass</span>
<span class="k">def</span> <span class="nf">my_linear</span><span class="p">(</span><span class="n">m1</span><span class="p">,</span> <span class="n">m2</span><span class="p">,</span> <span class="n">bias</span><span class="p">):</span>
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Current modules: </span><span class="si">{</span><span class="n">tracker</span><span class="o">.</span><span class="n">parents</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
<span class="k">return</span> <span class="n">torch</span><span class="o">.</span><span class="n">mm</span><span class="p">(</span><span class="n">m1</span><span class="p">,</span> <span class="n">m2</span><span class="o">.</span><span class="n">t</span><span class="p">())</span> <span class="o">+</span> <span class="n">bias</span>
<span class="n">torch</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">functional</span><span class="o">.</span><span class="n">linear</span> <span class="o">=</span> <span class="n">my_linear</span>
<span class="n">mod</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">rand</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">))</span>
</pre></div>
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