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<div class="section" id="torch-atleast-3d">
<h1>torch.atleast_3d<a class="headerlink" href="#torch-atleast-3d" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="torch.atleast_3d">
<code class="sig-prename descclassname">torch.</code><code class="sig-name descname">atleast_3d</code><span class="sig-paren">(</span><em class="sig-param">*tensors</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/torch/functional.html#atleast_3d"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.atleast_3d" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a 3-dimensional view of each each input tensor with zero dimensions.
Input tensors with three or more dimensions are returned as-is.
:param input:
:type input: Tensor or list of Tensors</p>
<dl class="field-list simple">
<dt class="field-odd">Returns</dt>
<dd class="field-odd"><p>output (Tensor or tuple of Tensors)</p>
</dd>
</dl>
<p class="rubric">Example</p>
<div class="doctest 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">tensor</span><span class="p">(</span><span class="mf">0.5</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">x</span>
<span class="go">tensor(0.5000)</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">atleast_3d</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="go">tensor([[[0.5000]]])</span>
<span class="gp">>>> </span><span class="n">y</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">2</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">y</span>
<span class="go">tensor([[-0.8079, 0.7460],</span>
<span class="go"> [-1.1647, 1.4734]])</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">atleast_3d</span><span class="p">(</span><span class="n">y</span><span class="p">)</span>
<span class="go">tensor([[[-0.8079],</span>
<span class="go"> [ 0.7460]],</span>
<span class="go"> [[-1.1647],</span>
<span class="go"> [ 1.4734]]])</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">1</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">x</span>
<span class="go">tensor([[[-1.5689]]])</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">atleast_3d</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="go">tensor([[[-1.5689]]])</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">tensor</span><span class="p">(</span><span class="mf">0.5</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">y</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="mf">1.</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">atleast_3d</span><span class="p">((</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">))</span>
<span class="go">(tensor([[[0.5000]]]), tensor([[[1.]]]))</span>
</pre></div>
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