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<div class="section" id="torch-transpose">
<h1>torch.transpose<a class="headerlink" href="#torch-transpose" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="torch.transpose">
<code class="sig-prename descclassname">torch.</code><code class="sig-name descname">transpose</code><span class="sig-paren">(</span><em class="sig-param">input</em>, <em class="sig-param">dim0</em>, <em class="sig-param">dim1</em><span class="sig-paren">)</span> → Tensor<a class="headerlink" href="#torch.transpose" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a tensor that is a transposed version of <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code>.
The given dimensions <code class="xref py py-attr docutils literal notranslate"><span class="pre">dim0</span></code> and <code class="xref py py-attr docutils literal notranslate"><span class="pre">dim1</span></code> are swapped.</p>
<p>The resulting <code class="xref py py-attr docutils literal notranslate"><span class="pre">out</span></code> tensor shares it’s underlying storage with the
<code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code> tensor, so changing the content of one would change the content
of the other.</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 input tensor.</p></li>
<li><p><strong>dim0</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a>) – the first dimension to be transposed</p></li>
<li><p><strong>dim1</strong> (<a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.9)"><em>int</em></a>) – the second dimension to be transposed</p></li>
</ul>
</dd>
</dl>
<p>Example:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">x</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">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">x</span>
<span class="go">tensor([[ 1.0028, -0.9893, 0.5809],</span>
<span class="go"> [-0.1669, 0.7299, 0.4942]])</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">)</span>
<span class="go">tensor([[ 1.0028, -0.1669],</span>
<span class="go"> [-0.9893, 0.7299],</span>
<span class="go"> [ 0.5809, 0.4942]])</span>
</pre></div>
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