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<div class="section" id="torch-msort">
<h1>torch.msort<a class="headerlink" href="#torch-msort" title="Permalink to this headline">¶</a></h1>
<dl class="py function">
<dt id="torch.msort">
<code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">msort</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">out</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> → <a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><span class="pre">Tensor</span></a><a class="headerlink" href="#torch.msort" title="Permalink to this definition">¶</a></dt>
<dd><p>Sorts the elements of the <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code> tensor along its first dimension
in ascending order by value.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p><cite>torch.msort(t)</cite> is equivalent to <cite>torch.sort(t, dim=0)[0]</cite>.
See also <a class="reference internal" href="torch.sort.html#torch.sort" title="torch.sort"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.sort()</span></code></a>.</p>
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<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>input</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>Tensor</em></a>) – the input tensor.</p>
</dd>
<dt class="field-even">Keyword Arguments</dt>
<dd class="field-even"><p><strong>out</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>Tensor</em></a><em>, </em><em>optional</em>) – the output tensor.</p>
</dd>
</dl>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">t</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">randn</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">t</span>
<span class="go">tensor([[-0.1321, 0.4370, -1.2631, -1.1289],</span>
<span class="go"> [-2.0527, -1.1250, 0.2275, 0.3077],</span>
<span class="go"> [-0.0881, -0.1259, -0.5495, 1.0284]])</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">msort</span><span class="p">(</span><span class="n">t</span><span class="p">)</span>
<span class="go">tensor([[-2.0527, -1.1250, -1.2631, -1.1289],</span>
<span class="go"> [-0.1321, -0.1259, -0.5495, 0.3077],</span>
<span class="go"> [-0.0881, 0.4370, 0.2275, 1.0284]])</span>
</pre></div>
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