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<h1>torch.Tensor.sparse_dim<a class="headerlink" href="#torch-tensor-sparse-dim" title="Permalink to this headline">¶</a></h1>
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<dt id="torch.Tensor.sparse_dim">
<code class="sig-prename descclassname"><span class="pre">Tensor.</span></code><code class="sig-name descname"><span class="pre">sparse_dim</span></code><span class="sig-paren">(</span><span class="sig-paren">)</span> → <a class="reference external" href="https://docs.python.org/3/library/functions.html#int" title="(in Python v3.10)"><span class="pre">int</span></a><a class="headerlink" href="#torch.Tensor.sparse_dim" title="Permalink to this definition">¶</a></dt>
<dd><p>Return the number of sparse dimensions in a <a class="reference internal" href="../sparse.html#sparse-docs"><span class="std std-ref">sparse tensor</span></a> <code class="xref py py-attr docutils literal notranslate"><span class="pre">self</span></code>.</p>
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<p>Throws an error if <code class="xref py py-attr docutils literal notranslate"><span class="pre">self</span></code> is not a sparse tensor.</p>
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<p>See also <a class="reference internal" href="torch.Tensor.dense_dim.html#torch.Tensor.dense_dim" title="torch.Tensor.dense_dim"><code class="xref py py-meth docutils literal notranslate"><span class="pre">Tensor.dense_dim()</span></code></a> and <a class="reference internal" href="../sparse.html#sparse-hybrid-coo-docs"><span class="std std-ref">hybrid tensors</span></a>.</p>
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