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<div class="section" id="torch-conj">
<h1>torch.conj<a class="headerlink" href="#torch-conj" title="Permalink to this headline">¶</a></h1>
<dl class="py function">
<dt id="torch.conj">
<code class="sig-prename descclassname"><span class="pre">torch.</span></code><code class="sig-name descname"><span class="pre">conj</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.conj" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a view of <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code> with a flipped conjugate bit. If <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code> has a non-complex dtype,
this function just returns <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code>.</p>
<div class="admonition note">
<p class="admonition-title">Note</p>
<p><a class="reference internal" href="#torch.conj" title="torch.conj"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.conj()</span></code></a> performs a lazy conjugation, but the actual conjugated tensor can be materialized
at any time using <a class="reference internal" href="torch.resolve_conj.html#torch.resolve_conj" title="torch.resolve_conj"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.resolve_conj()</span></code></a>.</p>
</div>
<div class="admonition warning">
<p class="admonition-title">Warning</p>
<p>In the future, <a class="reference internal" href="#torch.conj" title="torch.conj"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.conj()</span></code></a> may return a non-writeable view for an <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code> of
non-complex dtype. It’s recommended that programs not modify the tensor returned by <a class="reference internal" href="torch.conj_physical.html#torch.conj_physical" title="torch.conj_physical"><code class="xref py py-func docutils literal notranslate"><span class="pre">torch.conj_physical()</span></code></a>
when <code class="xref py py-attr docutils literal notranslate"><span class="pre">input</span></code> is of non-complex dtype to be compatible with this change.</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">tensor</span><span class="p">([</span><span class="o">-</span><span class="mi">1</span> <span class="o">+</span> <span class="mi">1</span><span class="n">j</span><span class="p">,</span> <span class="o">-</span><span class="mi">2</span> <span class="o">+</span> <span class="mi">2</span><span class="n">j</span><span class="p">,</span> <span class="mi">3</span> <span class="o">-</span> <span class="mi">3</span><span class="n">j</span><span class="p">])</span>
<span class="gp">>>> </span><span class="n">x</span><span class="o">.</span><span class="n">is_conj</span><span class="p">()</span>
<span class="go">False</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">conj</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
<span class="gp">>>> </span><span class="n">y</span><span class="o">.</span><span class="n">is_conj</span><span class="p">()</span>
<span class="go">True</span>
</pre></div>
</div>
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