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<div class="section" id="torch-cartesian-prod">
<h1>torch.cartesian_prod<a class="headerlink" href="#torch-cartesian-prod" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="torch.cartesian_prod">
<code class="sig-prename descclassname">torch.</code><code class="sig-name descname">cartesian_prod</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#cartesian_prod"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#torch.cartesian_prod" title="Permalink to this definition">¶</a></dt>
<dd><p>Do cartesian product of the given sequence of tensors. The behavior is similar to
python’s <cite>itertools.product</cite>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>*tensors</strong> – any number of 1 dimensional tensors.</p>
</dd>
<dt class="field-even">Returns</dt>
<dd class="field-even"><p><dl class="simple">
<dt>A tensor equivalent to converting all the input tensors into lists,</dt><dd><p>do <cite>itertools.product</cite> on these lists, and finally convert the resulting list
into tensor.</p>
</dd>
</dl>
</p>
</dd>
<dt class="field-odd">Return type</dt>
<dd class="field-odd"><p><a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor">Tensor</a></p>
</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="p">[</span><span class="mi">1</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">b</span> <span class="o">=</span> <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
<span class="gp">>>> </span><span class="nb">list</span><span class="p">(</span><span class="n">itertools</span><span class="o">.</span><span class="n">product</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">[(1, 4), (1, 5), (2, 4), (2, 5), (3, 4), (3, 5)]</span>
<span class="gp">>>> </span><span class="n">tensor_a</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="n">a</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">tensor_b</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="n">b</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">torch</span><span class="o">.</span><span class="n">cartesian_prod</span><span class="p">(</span><span class="n">tensor_a</span><span class="p">,</span> <span class="n">tensor_b</span><span class="p">)</span>
<span class="go">tensor([[1, 4],</span>
<span class="go"> [1, 5],</span>
<span class="go"> [2, 4],</span>
<span class="go"> [2, 5],</span>
<span class="go"> [3, 4],</span>
<span class="go"> [3, 5]])</span>
</pre></div>
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