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<div class="section" id="torch-imag">
<h1>torch.imag<a class="headerlink" href="#torch-imag" title="Permalink to this headline">¶</a></h1>
<dl class="py function">
<dt id="torch.imag">
<code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">imag</span></code><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">input</span></span></em><span class="sig-paren">)</span> → <a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><span class="pre">Tensor</span></a><a class="headerlink" href="#torch.imag" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a new tensor containing imaginary values of the <code class="xref py py-attr docutils literal notranslate"><span class="pre">self</span></code> tensor.
The returned tensor and <code class="xref py py-attr docutils literal notranslate"><span class="pre">self</span></code> share the same underlying storage.</p>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p><a class="reference internal" href="#torch.imag" title="torch.imag"><code class="xref py py-func docutils literal notranslate"><span class="pre">imag()</span></code></a> is only supported for tensors with complex dtypes.</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>) – the input tensor.</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">randn</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">cfloat</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">x</span>
<span class="go">tensor([(0.3100+0.3553j), (-0.5445-0.7896j), (-1.6492-0.0633j), (-0.0638-0.8119j)])</span>
<span class="gp">>>> </span><span class="n">x</span><span class="o">.</span><span class="n">imag</span>
<span class="go">tensor([ 0.3553, -0.7896, -0.0633, -0.8119])</span>
</pre></div>
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