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<div class="section" id="pruningcontainer">
<h1>PruningContainer<a class="headerlink" href="#pruningcontainer" title="Permalink to this headline">¶</a></h1>
<dl class="class">
<dt id="torch.nn.utils.prune.PruningContainer">
<em class="property">class </em><code class="sig-prename descclassname">torch.nn.utils.prune.</code><code class="sig-name descname">PruningContainer</code><span class="sig-paren">(</span><em class="sig-param">*args</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/nn/utils/prune.html#PruningContainer"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.utils.prune.PruningContainer" title="Permalink to this definition">¶</a></dt>
<dd><p>Container holding a sequence of pruning methods for iterative pruning.
Keeps track of the order in which pruning methods are applied and handles
combining successive pruning calls.</p>
<p>Accepts as argument an instance of a BasePruningMethod or an iterable of
them.</p>
<dl class="method">
<dt id="torch.nn.utils.prune.PruningContainer.add_pruning_method">
<code class="sig-name descname">add_pruning_method</code><span class="sig-paren">(</span><em class="sig-param">method</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/nn/utils/prune.html#PruningContainer.add_pruning_method"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.utils.prune.PruningContainer.add_pruning_method" title="Permalink to this definition">¶</a></dt>
<dd><p>Adds a child pruning <code class="docutils literal notranslate"><span class="pre">method</span></code> to the container.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>method</strong> (<em>subclass of BasePruningMethod</em>) – child pruning method
to be added to the container.</p>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="torch.nn.utils.prune.PruningContainer.apply">
<em class="property">classmethod </em><code class="sig-name descname">apply</code><span class="sig-paren">(</span><em class="sig-param">module</em>, <em class="sig-param">name</em>, <em class="sig-param">*args</em>, <em class="sig-param">**kwargs</em><span class="sig-paren">)</span><a class="headerlink" href="#torch.nn.utils.prune.PruningContainer.apply" title="Permalink to this definition">¶</a></dt>
<dd><p>Adds the forward pre-hook that enables pruning on the fly and
the reparametrization of a tensor in terms of the original tensor
and the pruning mask.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>module</strong> (<a class="reference internal" href="torch.nn.Module.html#torch.nn.Module" title="torch.nn.Module"><em>nn.Module</em></a>) – module containing the tensor to prune</p></li>
<li><p><strong>name</strong> (<a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.9)"><em>str</em></a>) – parameter name within <code class="docutils literal notranslate"><span class="pre">module</span></code> on which pruning
will act.</p></li>
<li><p><strong>args</strong> – arguments passed on to a subclass of
<a class="reference internal" href="torch.nn.utils.prune.BasePruningMethod.html#torch.nn.utils.prune.BasePruningMethod" title="torch.nn.utils.prune.BasePruningMethod"><code class="xref py py-class docutils literal notranslate"><span class="pre">BasePruningMethod</span></code></a></p></li>
<li><p><strong>kwargs</strong> – keyword arguments passed on to a subclass of a
<a class="reference internal" href="torch.nn.utils.prune.BasePruningMethod.html#torch.nn.utils.prune.BasePruningMethod" title="torch.nn.utils.prune.BasePruningMethod"><code class="xref py py-class docutils literal notranslate"><span class="pre">BasePruningMethod</span></code></a></p></li>
</ul>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="torch.nn.utils.prune.PruningContainer.apply_mask">
<code class="sig-name descname">apply_mask</code><span class="sig-paren">(</span><em class="sig-param">module</em><span class="sig-paren">)</span><a class="headerlink" href="#torch.nn.utils.prune.PruningContainer.apply_mask" title="Permalink to this definition">¶</a></dt>
<dd><p>Simply handles the multiplication between the parameter being
pruned and the generated mask.
Fetches the mask and the original tensor from the module
and returns the pruned version of the tensor.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>module</strong> (<a class="reference internal" href="torch.nn.Module.html#torch.nn.Module" title="torch.nn.Module"><em>nn.Module</em></a>) – module containing the tensor to prune</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>pruned version of the input tensor</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>pruned_tensor (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor">torch.Tensor</a>)</p>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="torch.nn.utils.prune.PruningContainer.compute_mask">
<code class="sig-name descname">compute_mask</code><span class="sig-paren">(</span><em class="sig-param">t</em>, <em class="sig-param">default_mask</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/nn/utils/prune.html#PruningContainer.compute_mask"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.nn.utils.prune.PruningContainer.compute_mask" title="Permalink to this definition">¶</a></dt>
<dd><p>Applies the latest <code class="docutils literal notranslate"><span class="pre">method</span></code> by computing the new partial masks
and returning its combination with the <code class="docutils literal notranslate"><span class="pre">default_mask</span></code>.
The new partial mask should be computed on the entries or channels
that were not zeroed out by the <code class="docutils literal notranslate"><span class="pre">default_mask</span></code>.
Which portions of the tensor <code class="docutils literal notranslate"><span class="pre">t</span></code> the new mask will be calculated from
depends on the <code class="docutils literal notranslate"><span class="pre">PRUNING_TYPE</span></code> (handled by the type handler):</p>
<ul class="simple">
<li><p>for ‘unstructured’, the mask will be computed from the raveled
list of nonmasked entries;</p></li>
<li><p>for ‘structured’, the mask will be computed from the nonmasked
channels in the tensor;</p></li>
<li><p>for ‘global’, the mask will be computed across all entries.</p></li>
</ul>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>t</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>torch.Tensor</em></a>) – tensor representing the parameter to prune
(of same dimensions as <code class="docutils literal notranslate"><span class="pre">default_mask</span></code>).</p></li>
<li><p><strong>default_mask</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>torch.Tensor</em></a>) – mask from previous pruning iteration.</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>new mask that combines the effects
of the <code class="docutils literal notranslate"><span class="pre">default_mask</span></code> and the new mask from the current
pruning <code class="docutils literal notranslate"><span class="pre">method</span></code> (of same dimensions as <code class="docutils literal notranslate"><span class="pre">default_mask</span></code> and
<code class="docutils literal notranslate"><span class="pre">t</span></code>).</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p>mask (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor">torch.Tensor</a>)</p>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="torch.nn.utils.prune.PruningContainer.prune">
<code class="sig-name descname">prune</code><span class="sig-paren">(</span><em class="sig-param">t</em>, <em class="sig-param">default_mask=None</em><span class="sig-paren">)</span><a class="headerlink" href="#torch.nn.utils.prune.PruningContainer.prune" title="Permalink to this definition">¶</a></dt>
<dd><p>Computes and returns a pruned version of input tensor <code class="docutils literal notranslate"><span class="pre">t</span></code>
according to the pruning rule specified in <a class="reference internal" href="#torch.nn.utils.prune.PruningContainer.compute_mask" title="torch.nn.utils.prune.PruningContainer.compute_mask"><code class="xref py py-meth docutils literal notranslate"><span class="pre">compute_mask()</span></code></a>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>t</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>torch.Tensor</em></a>) – tensor to prune (of same dimensions as
<code class="docutils literal notranslate"><span class="pre">default_mask</span></code>).</p></li>
<li><p><strong>default_mask</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>torch.Tensor</em></a><em>, </em><em>optional</em>) – mask from previous pruning
iteration, if any. To be considered when determining what
portion of the tensor that pruning should act on. If None,
default to a mask of ones.</p></li>
</ul>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p>pruned version of tensor <code class="docutils literal notranslate"><span class="pre">t</span></code>.</p>
</dd>
</dl>
</dd></dl>
<dl class="method">
<dt id="torch.nn.utils.prune.PruningContainer.remove">
<code class="sig-name descname">remove</code><span class="sig-paren">(</span><em class="sig-param">module</em><span class="sig-paren">)</span><a class="headerlink" href="#torch.nn.utils.prune.PruningContainer.remove" title="Permalink to this definition">¶</a></dt>
<dd><p>Removes the pruning reparameterization from a module. The pruned
parameter named <code class="docutils literal notranslate"><span class="pre">name</span></code> remains permanently pruned, and the parameter
named <code class="docutils literal notranslate"><span class="pre">name+'_orig'</span></code> is removed from the parameter list. Similarly,
the buffer named <code class="docutils literal notranslate"><span class="pre">name+'_mask'</span></code> is removed from the buffers.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Pruning itself is NOT undone or reversed!</p>
</div>
</dd></dl>
</dd></dl>
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