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<div class="section" id="torch-tensor-contiguous">
<h1>torch.Tensor.contiguous<a class="headerlink" href="#torch-tensor-contiguous" title="Permalink to this headline">¶</a></h1>
<dl class="py method">
<dt id="torch.Tensor.contiguous">
<code class="sig-prename descclassname"><span class="pre">Tensor.</span></code><code class="sig-name descname"><span class="pre">contiguous</span></code><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.contiguous_format</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.Tensor.contiguous" title="Permalink to this definition">¶</a></dt>
<dd><p>Returns a contiguous in memory tensor containing the same data as <code class="xref py py-attr docutils literal notranslate"><span class="pre">self</span></code> tensor. If
<code class="xref py py-attr docutils literal notranslate"><span class="pre">self</span></code> tensor is already in the specified memory format, this function returns the
<code class="xref py py-attr docutils literal notranslate"><span class="pre">self</span></code> tensor.</p>
<dl class="field-list simple">
<dt class="field-odd">Parameters</dt>
<dd class="field-odd"><p><strong>memory_format</strong> (<a class="reference internal" href="../tensor_attributes.html#torch.torch.memory_format" title="torch.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
returned Tensor. Default: <code class="docutils literal notranslate"><span class="pre">torch.contiguous_format</span></code>.</p>
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