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<a href="../../_sources/functionlib/dsplib/tensorlistreserve.rst.txt" rel="nofollow"> 查看页面源码</a>
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<section id="tensorlistreserve">
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<h1>Tensorlistreserve<a class="headerlink" href="#tensorlistreserve" title="Link to this heading"></a></h1>
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<p>为张量列表（TensorList）预分配指定数量和形状的张量空间。该算子用于初始化TensorList结构，设置其内部张量的形状信息和TensorList本身的形状。</p>
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<p>该算子不区分具体的数据类型，主要负责设置TensorList的元数据信息。</p>
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<dl class="simple">
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<dt>输入：</dt><dd><ul class="simple">
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<li><p><strong>num_elements</strong> - TensorList中包含的张量数量（int类型）。</p></li>
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<li><p><strong>element_shape</strong> - 每个张量的形状数组（int*类型），表示TensorList中每个张量的维度信息。</p></li>
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<li><p><strong>shape_size</strong> - 每个张量的形状大小（int类型），即element_shape数组的长度。</p></li>
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<li><p><strong>tensor_list_c_element_shape_size</strong> - 输出参数，用于存储TensorList内部每个张量的形状大小（int*类型）。</p></li>
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<li><p><strong>tensor_list_c_element_shape</strong> - 输出参数，用于存储TensorList内部每个张量的形状（int*类型）。</p></li>
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<li><p><strong>tensor_c_shape_size</strong> - 输出参数，用于存储TensorList本身的形状大小（int*类型）。</p></li>
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<li><p><strong>tensor_c_shape</strong> - 输出参数，用于存储TensorList本身的形状（int*类型）。</p></li>
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</ul>
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</dd>
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<dt>输出：</dt><dd><ul class="simple">
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<li><p><strong>tensor_list_c_element_shape_size</strong> - 被设置为shape_size的值。</p></li>
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<li><p><strong>tensor_list_c_element_shape</strong> - 被填充为element_shape的值。</p></li>
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<li><p><strong>tensor_c_shape_size</strong> - 被设置为1，表示TensorList本身是一个1维结构。</p></li>
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<li><p><strong>tensor_c_shape</strong> - 被设置为num_elements，表示TensorList包含num_elements个张量。</p></li>
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</ul>
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</dd>
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<dt>支持平台：</dt><dd><p><code class="docutils literal notranslate"><span class="pre">FT78NE</span></code>
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<code class="docutils literal notranslate"><span class="pre">MT7004</span></code></p>
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</dd>
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</dl>
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<div class="admonition note">
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<p class="admonition-title">备注</p>
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<ul class="simple">
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<li><p>该算子不区分具体的数据类型，主要操作TensorList的元数据</p></li>
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<li><p>TensorList中的每个张量必须具有相同的形状（element_shape）</p></li>
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<li><p>调用前需要确保tensor_list_c_element_shape和tensor_c_shape指向的内存空间足够大</p></li>
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</ul>
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</div>
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<p><strong>函数定义：</strong></p>
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<dl class="c function">
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<dt class="sig sig-object c" id="c.Tensorlistreserve">
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<span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">Tensorlistreserve</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">num_elements</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">element_shape</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">shape_size</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">tensor_list_c_element_shape_size</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">tensor_list_c_element_shape</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">tensor_c_shape_size</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">tensor_c_shape</span></span><span class="sig-paren">)</span><a class="headerlink" href="#c.Tensorlistreserve" title="Link to this definition"></a><br /></dt>
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<dd></dd></dl>
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<p><strong>C调用示例：</strong></p>
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<div class="highlight-c notranslate"><div class="highlight"><pre><span></span><span class="linenos"> 1</span><span class="cp">#include</span><span class="w"> </span><span class="cpf"><stdio.h></span>
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<span class="linenos"> 2</span><span class="cp">#include</span><span class="w"> </span><span class="cpf"><tensorlistreserve.h></span>
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<span class="linenos"> 3</span>
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<span class="linenos"> 4</span><span class="kt">int</span><span class="w"> </span><span class="nf">main</span><span class="p">(</span><span class="kt">int</span><span class="w"> </span><span class="n">argc</span><span class="p">,</span><span class="w"> </span><span class="kt">char</span><span class="o">*</span><span class="w"> </span><span class="n">argv</span><span class="p">[])</span><span class="w"> </span><span class="p">{</span>
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<span class="linenos"> 5</span><span class="w"> </span><span class="c1">// 参数设置</span>
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<span class="linenos"> 6</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">num_elements</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">3</span><span class="p">;</span><span class="w"> </span><span class="c1">// TensorList包含3个张量</span>
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<span class="linenos"> 7</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">element_shape</span><span class="p">[]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">{</span><span class="mi">4</span><span class="p">,</span><span class="w"> </span><span class="mi">5</span><span class="p">};</span><span class="w"> </span><span class="c1">// 每个张量的形状为[4, 5]</span>
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<span class="linenos"> 8</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">shape_size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">2</span><span class="p">;</span><span class="w"> </span><span class="c1">// element_shape数组长度为2</span>
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<span class="linenos"> 9</span>
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<span class="linenos">10</span><span class="w"> </span><span class="c1">// 输出参数</span>
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<span class="linenos">11</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">tensor_list_c_element_shape_size</span><span class="p">;</span>
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<span class="linenos">12</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">tensor_list_c_element_shape</span><span class="p">[</span><span class="mi">2</span><span class="p">];</span><span class="w"> </span><span class="c1">// 空间大小应至少为shape_size</span>
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<span class="linenos">13</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">tensor_c_shape_size</span><span class="p">;</span>
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<span class="linenos">14</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">tensor_c_shape</span><span class="p">;</span>
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<span class="linenos">15</span>
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<span class="linenos">16</span><span class="w"> </span><span class="c1">// 调用算子</span>
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<span class="hll"><span class="linenos">17</span><span class="w"> </span><span class="n">Tensorlistreserve</span><span class="p">(</span><span class="n">num_elements</span><span class="p">,</span><span class="w"> </span><span class="n">element_shape</span><span class="p">,</span><span class="w"> </span><span class="n">shape_size</span><span class="p">,</span>
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</span><span class="hll"><span class="linenos">18</span><span class="w"> </span><span class="o">&</span><span class="n">tensor_list_c_element_shape_size</span><span class="p">,</span>
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</span><span class="hll"><span class="linenos">19</span><span class="w"> </span><span class="n">tensor_list_c_element_shape</span><span class="p">,</span>
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</span><span class="hll"><span class="linenos">20</span><span class="w"> </span><span class="o">&</span><span class="n">tensor_c_shape_size</span><span class="p">,</span>
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</span><span class="linenos">21</span><span class="w"> </span><span class="o">&</span><span class="n">tensor_c_shape</span><span class="p">);</span>
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<span class="linenos">22</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span>
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<span class="linenos">23</span><span class="p">}</span>
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</pre></div>
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