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<h1>torch.chunk<a class="headerlink" href="#torch-chunk" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="torch.chunk">
<code class="sig-prename descclassname">torch.</code><code class="sig-name descname">chunk</code><span class="sig-paren">(</span><em class="sig-param">input</em>, <em class="sig-param">chunks</em>, <em class="sig-param">dim=0</em><span class="sig-paren">)</span> → List of Tensors<a class="headerlink" href="#torch.chunk" title="Permalink to this definition">¶</a></dt>
<dd><p>Splits a tensor into a specific number of chunks. Each chunk is a view of
the input tensor.</p>
<p>Last chunk will be smaller if the tensor size along the given dimension
<code class="xref py py-attr docutils literal notranslate"><span class="pre">dim</span></code> is not divisible by <code class="xref py py-attr docutils literal notranslate"><span class="pre">chunks</span></code>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>input</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>Tensor</em></a>) – the tensor to split</p></li>
<li><p><strong>chunks</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)"><em>int</em></a>) – number of chunks to return</p></li>
<li><p><strong>dim</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.8)"><em>int</em></a>) – dimension along which to split the tensor</p></li>
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