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<section id="tensorlistgetitem">
<h1>Tensorlistgetitem<a class="headerlink" href="#tensorlistgetitem" title="Link to this heading"></a></h1>
<p>从张量列表中获取指定索引的张量数据。该算子将输入张量列表中的特定元素复制到输出张量中，支持多种数据类型。</p>
<div class="math notranslate nohighlight">
\[\text{output\_tensor} = \text{input\_tensor\_list}[\text{index}]\]</div>
<p>其中 <cite>input_tensor_list</cite> 是输入的张量列表，<cite>index</cite> 是要获取的元素索引，<cite>output_tensor</cite> 是输出张量。</p>
<dl class="simple">
<dt>输入：</dt><dd><ul class="simple">
<li><p><strong>src</strong> - 输入张量指针，指向要获取的张量数据。</p></li>
<li><p><strong>dst</strong> - 输出张量指针，用于存储获取的张量数据。</p></li>
<li><p><strong>data_type</strong> - 数据类型对应的字节数，如果为0，表示kTypeUnknown（未知类型）。</p></li>
<li><p><strong>length</strong> - 元素个数，默认dst和src元素个数相等。</p></li>
<li><p><strong>core_mask</strong> - 核掩码（int），仅共享存储版本需要。</p></li>
</ul>
</dd>
<dt>输出：</dt><dd><ul class="simple">
<li><p><strong>dst</strong> - 输出张量指针，存储从输入张量列表获取的数据。</p></li>
</ul>
</dd>
<dt>支持平台：</dt><dd><p><code class="docutils literal notranslate"><span class="pre">FT78NE</span></code>
<code class="docutils literal notranslate"><span class="pre">MT7004</span></code></p>
</dd>
</dl>
<div class="admonition note">
<p class="admonition-title">备注</p>
<ul class="simple">
<li><p>该算子不区分具体的数据类型，数据类型信息通过data_type参数传递</p></li>
<li><p>当data_type为0（kTypeUnknown）时，算子会将输出张量的内存清零</p></li>
<li><p>当data_type不为0时，算子会按字节复制数据</p></li>
<li><p>调用前需要确保dst指向的内存空间足够大（至少length个元素）</p></li>
</ul>
</div>
<p><strong>共享存储版本：</strong></p>
<dl class="c function">
<dt class="sig sig-object c" id="c.tensorlistgetitem_s">
<span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">tensorlistgetitem_s</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">src</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">dst</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">data_type</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">length</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">core_mask</span></span><span class="sig-paren">)</span><a class="headerlink" href="#c.tensorlistgetitem_s" title="Link to this definition"></a><br /></dt>
<dd></dd></dl>
<p><strong>C调用示例（共享存储版本）：</strong></p>
<div class="highlight-c notranslate"><div class="highlight"><pre><span></span><span class="linenos"> 1</span><span class="c1">//FT78NE示例</span>
<span class="linenos"> 2</span><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;stdio.h&gt;</span>
<span class="linenos"> 3</span><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;tensorlistgetitem.h&gt;</span>
<span class="linenos"> 4</span>
<span class="linenos"> 5</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>
<span class="linenos"> 6</span><span class="w"> </span><span class="c1">// 假设在DDR空间</span>
<span class="linenos"> 7</span><span class="w"> </span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="n">src</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="p">)</span><span class="mh">0xA0000000</span><span class="p">;</span><span class="w"> </span><span class="c1">// 输入张量数据</span>
<span class="linenos"> 8</span><span class="w"> </span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="n">dst</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">float</span><span class="w"> </span><span class="o">*</span><span class="p">)</span><span class="mh">0xB0000000</span><span class="p">;</span><span class="w"> </span><span class="c1">// 输出张量数据</span>
<span class="linenos"> 9</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">data_type</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">4</span><span class="p">;</span><span class="w"> </span><span class="c1">// float类型，4字节</span>
<span class="linenos">10</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">length</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">10</span><span class="p">;</span><span class="w"> </span><span class="c1">// 10个元素</span>
<span class="linenos">11</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">core_mask</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mh">0xff</span><span class="p">;</span><span class="w"> </span><span class="c1">// 核掩码</span>
<span class="linenos">12</span>
<span class="linenos">13</span><span class="w"> </span><span class="c1">// 调用共享存储版本的函数</span>
<span class="hll"><span class="linenos">14</span><span class="w"> </span><span class="n">tensorlistgetitem_s</span><span class="p">(</span><span class="n">src</span><span class="p">,</span><span class="w"> </span><span class="n">dst</span><span class="p">,</span><span class="w"> </span><span class="n">data_type</span><span class="p">,</span><span class="w"> </span><span class="n">length</span><span class="p">,</span><span class="w"> </span><span class="n">core_mask</span><span class="p">);</span>
</span><span class="linenos">15</span>
<span class="linenos">16</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span>
<span class="linenos">17</span><span class="p">}</span>
</pre></div>
</div>
<p><strong>共享存储版本：</strong></p>
<dl class="c function">
<dt class="sig sig-object c" id="c.tensorlistgetitem_p">
<span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="sig-name descname"><span class="n"><span class="pre">tensorlistgetitem_p</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">src</span></span>, <span class="kt"><span class="pre">void</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">dst</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">data_type</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">length</span></span><span class="sig-paren">)</span><a class="headerlink" href="#c.tensorlistgetitem_p" title="Link to this definition"></a><br /></dt>
<dd></dd></dl>
<p><strong>C调用示例（私有存储版本）：</strong></p>
<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">&lt;stdio.h&gt;</span>
<span class="linenos"> 2</span><span class="cp">#include</span><span class="w"> </span><span class="cpf">&lt;tensorlistgetitem.h&gt;</span>
<span class="linenos"> 3</span>
<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>
<span class="linenos"> 5</span><span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="o">*</span><span class="n">src</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">void</span><span class="w"> </span><span class="o">*</span><span class="p">)</span><span class="mh">0x10000000</span><span class="p">;</span>
<span class="linenos"> 6</span><span class="w"> </span><span class="kt">void</span><span class="w"> </span><span class="o">*</span><span class="n">dst</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">void</span><span class="w"> </span><span class="o">*</span><span class="p">)</span><span class="mh">0x10010000</span><span class="p">;</span>
<span class="linenos"> 7</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">data_type</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span><span class="w"> </span><span class="c1">// kTypeUnknown</span>
<span class="linenos"> 8</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">length</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">10</span><span class="p">;</span><span class="w"> </span><span class="c1">// 10个元素（以字节为单位）</span>
<span class="linenos"> 9</span>
<span class="linenos">10</span><span class="w"> </span><span class="c1">// 当data_type为0时，dst将被清零</span>
<span class="hll"><span class="linenos">11</span><span class="w"> </span><span class="n">tensorlistgetitem_p</span><span class="p">(</span><span class="n">src</span><span class="p">,</span><span class="w"> </span><span class="n">dst</span><span class="p">,</span><span class="w"> </span><span class="n">data_type</span><span class="p">,</span><span class="w"> </span><span class="n">length</span><span class="p">);</span>
</span><span class="linenos">12</span>
<span class="linenos">13</span><span class="w"> </span><span class="k">return</span><span class="w"> </span><span class="mi">0</span><span class="p">;</span>
<span class="linenos">14</span><span class="p">}</span>
</pre></div>
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