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<h1>torch.Tensor.cfloat<a class="headerlink" href="#torch-tensor-cfloat" title="Permalink to this heading">¶</a></h1>
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<span class="sig-prename descclassname"><span class="pre">Tensor.</span></span><span class="sig-name descname"><span class="pre">cfloat</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">memory_format</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">torch.preserve_format</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">→</span> <span class="sig-return-typehint"><a class="reference internal" href="../tensors.html#torch.Tensor" title="torch.Tensor"><span class="pre">Tensor</span></a></span></span><a class="headerlink" href="#torch.Tensor.cfloat" title="Permalink to this definition">¶</a></dt>
<dd><p><code class="docutils literal notranslate"><span class="pre">self.cfloat()</span></code> is equivalent to <code class="docutils literal notranslate"><span class="pre">self.to(torch.complex64)</span></code>. See <a class="reference internal" href="torch.Tensor.to.html#torch.Tensor.to" title="torch.Tensor.to"><code class="xref py py-func docutils literal notranslate"><span class="pre">to()</span></code></a>.</p>
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<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>memory_format</strong> (<a class="reference internal" href="../tensor_attributes.html#torch.memory_format" title="torch.memory_format"><code class="xref py py-class docutils literal notranslate"><span class="pre">torch.memory_format</span></code></a>, optional) – the desired memory format of
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