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<div class="section" id="torch-cross">
<h1>torch.cross<a class="headerlink" href="#torch-cross" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="torch.cross">
<code class="sig-prename descclassname">torch.</code><code class="sig-name descname">cross</code><span class="sig-paren">(</span><em class="sig-param">input</em>, <em class="sig-param">other</em>, <em class="sig-param">dim=-1</em>, <em class="sig-param">out=None</em><span class="sig-paren">)</span> → Tensor<a class="headerlink" href="#torch.cross" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns the cross product of vectors in dimension <code class="xref py py-attr docutils literal notranslate"><span class="pre">dim</span></code> of <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code>
and <code class="xref py py-attr docutils literal notranslate"><span class="pre">other</span></code>.</p>
<p><code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code> and <code class="xref py py-attr docutils literal notranslate"><span class="pre">other</span></code> must have the same size, and the size of their
<code class="xref py py-attr docutils literal notranslate"><span class="pre">dim</span></code> dimension should be 3.</p>
<p>If <code class="xref py py-attr docutils literal notranslate"><span class="pre">dim</span></code> is not given, it defaults to the first dimension found with the
size 3.</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>other</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>Tensor</em></a>) – the second input tensor</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><em>, </em><em>optional</em>) – the dimension to take the cross-product in.</p></li>
<li><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></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">a</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">4</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">a</span>
<span class="go">tensor([[-0.3956, 1.1455, 1.6895],</span>
<span class="go"> [-0.5849, 1.3672, 0.3599],</span>
<span class="go"> [-1.1626, 0.7180, -0.0521],</span>
<span class="go"> [-0.1339, 0.9902, -2.0225]])</span>
<span class="gp">>>> </span><span class="n">b</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">4</span><span class="p">,</span> <span class="mi">3</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">b</span>
<span class="go">tensor([[-0.0257, -1.4725, -1.2251],</span>
<span class="go"> [-1.1479, -0.7005, -1.9757],</span>
<span class="go"> [-1.3904, 0.3726, -1.1836],</span>
<span class="go"> [-0.9688, -0.7153, 0.2159]])</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">cross</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">,</span> <span class="n">dim</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="go">tensor([[ 1.0844, -0.5281, 0.6120],</span>
<span class="go"> [-2.4490, -1.5687, 1.9792],</span>
<span class="go"> [-0.8304, -1.3037, 0.5650],</span>
<span class="go"> [-1.2329, 1.9883, 1.0551]])</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">cross</span><span class="p">(</span><span class="n">a</span><span class="p">,</span> <span class="n">b</span><span class="p">)</span>
<span class="go">tensor([[ 1.0844, -0.5281, 0.6120],</span>
<span class="go"> [-2.4490, -1.5687, 1.9792],</span>
<span class="go"> [-0.8304, -1.3037, 0.5650],</span>
<span class="go"> [-1.2329, 1.9883, 1.0551]])</span>
</pre></div>
</div>
</dd></dl>
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