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<div class="section" id="torch-fliplr">
<h1>torch.fliplr<a class="headerlink" href="#torch-fliplr" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="torch.fliplr">
<code class="sig-prename descclassname">torch.</code><code class="sig-name descname">fliplr</code><span class="sig-paren">(</span><em class="sig-param">input</em><span class="sig-paren">)</span> → Tensor<a class="headerlink" href="#torch.fliplr" title="Permalink to this definition">¶</a></dt>
<dd><p>Flip array in the left/right direction, returning a new tensor.</p>
<p>Flip the entries in each row in the left/right direction.
Columns are preserved, but appear in a different order than before.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p>Equivalent to input[:,::-1]. Requires the array to be at least 2-D.</p>
</div>
<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>) – Must be at least 2-dimensional.</p>
</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">arange</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span><span class="o">.</span><span class="n">view</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="gp">>>> </span><span class="n">x</span>
<span class="go">tensor([[0, 1],</span>
<span class="go"> [2, 3]])</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">fliplr</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="go">tensor([[1, 0],</span>
<span class="go"> [3, 2]])</span>
</pre></div>
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