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<div class="section" id="torch-complex">
<h1>torch.complex<a class="headerlink" href="#torch-complex" title="Permalink to this headline">¶</a></h1>
<dl class="function">
<dt id="torch.complex">
<code class="sig-prename descclassname">torch.</code><code class="sig-name descname">complex</code><span class="sig-paren">(</span><em class="sig-param">real</em>, <em class="sig-param">imag</em>, <em class="sig-param">*</em>, <em class="sig-param">out=None</em><span class="sig-paren">)</span> → Tensor<a class="headerlink" href="#torch.complex" title="Permalink to this definition">¶</a></dt>
<dd><p>Constructs a complex tensor with its real part equal to <a class="reference internal" href="torch.real.html#torch.real" title="torch.real"><code class="xref py py-attr docutils literal notranslate"><span class="pre">real</span></code></a> and its
imaginary part equal to <a class="reference internal" href="torch.imag.html#torch.imag" title="torch.imag"><code class="xref py py-attr docutils literal notranslate"><span class="pre">imag</span></code></a>.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><ul class="simple">
<li><p><strong>real</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>Tensor</em></a>) – The real part of the complex tensor. Must be float or double.</p></li>
<li><p><strong>imag</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>Tensor</em></a>) – The imaginary part of the complex tensor. Must be same dtype
as <a class="reference internal" href="torch.real.html#torch.real" title="torch.real"><code class="xref py py-attr docutils literal notranslate"><span class="pre">real</span></code></a>.</p></li>
</ul>
</dd>
<dt class="field-even">Keyword Arguments</dt>
<dd class="field-even"><p><strong>out</strong> (<a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><em>Tensor</em></a>) – If the inputs are <code class="docutils literal notranslate"><span class="pre">torch.float32</span></code>, must be
<code class="docutils literal notranslate"><span class="pre">torch.complex64</span></code>. If the inputs are <code class="docutils literal notranslate"><span class="pre">torch.float64</span></code>, must be
<code class="docutils literal notranslate"><span class="pre">torch.complex128</span></code>.</p>
</dd>
</dl>
<dl>
<dt>Example::</dt><dd><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="n">real</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="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">imag</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="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">],</span> <span class="n">dtype</span><span class="o">=</span><span class="n">torch</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">z</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">complex</span><span class="p">(</span><span class="n">real</span><span class="p">,</span> <span class="n">imag</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">z</span>
<span class="go">tensor([(1.+3.j), (2.+4.j)])</span>
<span class="gp">>>> </span><span class="n">z</span><span class="o">.</span><span class="n">dtype</span>
<span class="go">torch.complex64</span>
</pre></div>
</div>
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