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<a href="../../_sources/functionlib/dsplib/switchlayer.rst.txt" rel="nofollow"> 查看页面源码</a>
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<section id="switchlayer">
|
||
<h1>Switchlayer<a class="headerlink" href="#switchlayer" title="此标题的永久链接"></a></h1>
|
||
<p>根据索引从输入张量数组中选择一个张量，并将其数据复制到输出。该算子不区分数据类型，适用于所有数据类型。</p>
|
||
<div class="math notranslate nohighlight">
|
||
\[\text{output} = \text{input\_tensors}[\text{index}]\]</div>
|
||
<p>该算子会将选中的输入张量的数据复制到输出张量中。复制的大小为 <cite>size * type_size</cite> 字节。</p>
|
||
<dl class="simple">
|
||
<dt>输入：</dt><dd><ul class="simple">
|
||
<li><p><strong>input_tensors</strong> - 输入张量数组（TensorC** 类型），包含多个待选择的张量。</p></li>
|
||
<li><p><strong>index</strong> - 选择的索引（int 类型），指定从 <cite>input_tensors</cite> 数组中选择哪个张量。</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>output</strong> - 输出张量（TensorC* 类型），包含复制后的数据。输出张量的 <cite>size</cite> 和 <cite>type_size</cite> 应与选中的输入张量相同。</p></li>
|
||
</ul>
|
||
</dd>
|
||
<dt>TensorC 结构体定义：</dt><dd><ul class="simple">
|
||
<li><p><strong>type_size</strong> - 数据类型大小（long long），单位字节，例如 float32 为 4，float16 为 2。</p></li>
|
||
<li><p><strong>size</strong> - 元素个数（long long）。</p></li>
|
||
<li><p><strong>data</strong> - 数据指针（void*）。</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>该算子不区分数据类型，适用于所有数据类型</p></li>
|
||
<li><p>算子会复制数据，输出张量与输入张量数据独立</p></li>
|
||
<li><p>调用前需要确保 <cite>output->data</cite> 指向的内存空间足够大（至少 <cite>size * type_size</cite> 字节）</p></li>
|
||
<li><p>选中的输入张量的 <cite>size</cite> 和 <cite>type_size</cite> 应与输出张量匹配</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.switchlayer_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">switchlayer_s</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">TensorC</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">input_tensors</span></span>, <span class="n"><span class="pre">TensorC</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">output</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">index</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.switchlayer_s" title="永久链接至目标"></a><br /></dt>
|
||
<dd></dd></dl>
|
||
|
||
<p><strong>C调用示例：</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"><stdio.h></span>
|
||
<span class="linenos"> 3</span><span class="cp">#include</span><span class="w"> </span><span class="cpf"><switchlayer.h></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="n">TensorC</span><span class="w"> </span><span class="n">input0</span><span class="p">,</span><span class="w"> </span><span class="n">input1</span><span class="p">,</span><span class="w"> </span><span class="n">input2</span><span class="p">;</span>
|
||
<span class="linenos"> 8</span><span class="w"> </span><span class="n">TensorC</span><span class="w"> </span><span class="n">output</span><span class="p">;</span>
|
||
<span class="linenos"> 9</span>
|
||
<span class="linenos">10</span><span class="w"> </span><span class="c1">// 初始化 input0</span>
|
||
<span class="linenos">11</span><span class="w"> </span><span class="n">input0</span><span class="p">.</span><span class="n">type_size</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">// float32</span>
|
||
<span class="linenos">12</span><span class="w"> </span><span class="n">input0</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">13</span><span class="w"> </span><span class="n">input0</span><span class="p">.</span><span class="n">data</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">0xA0000000</span><span class="p">;</span>
|
||
<span class="linenos">14</span>
|
||
<span class="linenos">15</span><span class="w"> </span><span class="c1">// 初始化 input1</span>
|
||
<span class="linenos">16</span><span class="w"> </span><span class="n">input1</span><span class="p">.</span><span class="n">type_size</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">// float32</span>
|
||
<span class="linenos">17</span><span class="w"> </span><span class="n">input1</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">18</span><span class="w"> </span><span class="n">input1</span><span class="p">.</span><span class="n">data</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">0xA1000000</span><span class="p">;</span>
|
||
<span class="linenos">19</span>
|
||
<span class="linenos">20</span><span class="w"> </span><span class="c1">// 初始化 input2</span>
|
||
<span class="linenos">21</span><span class="w"> </span><span class="n">input2</span><span class="p">.</span><span class="n">type_size</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">// float32</span>
|
||
<span class="linenos">22</span><span class="w"> </span><span class="n">input2</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">23</span><span class="w"> </span><span class="n">input2</span><span class="p">.</span><span class="n">data</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">0xA2000000</span><span class="p">;</span>
|
||
<span class="linenos">24</span>
|
||
<span class="linenos">25</span><span class="w"> </span><span class="c1">// 初始化 output</span>
|
||
<span class="linenos">26</span><span class="w"> </span><span class="n">output</span><span class="p">.</span><span class="n">type_size</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">// float32</span>
|
||
<span class="linenos">27</span><span class="w"> </span><span class="n">output</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">28</span><span class="w"> </span><span class="n">output</span><span class="p">.</span><span class="n">data</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">0xB0000000</span><span class="p">;</span><span class="w"> </span><span class="c1">// 需要预先分配足够的内存</span>
|
||
<span class="linenos">29</span>
|
||
<span class="linenos">30</span><span class="w"> </span><span class="c1">// 创建输入张量数组</span>
|
||
<span class="linenos">31</span><span class="w"> </span><span class="n">TensorC</span><span class="o">*</span><span class="w"> </span><span class="n">input_tensors</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">{</span><span class="o">&</span><span class="n">input0</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">input1</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">input2</span><span class="p">};</span>
|
||
<span class="linenos">32</span>
|
||
<span class="linenos">33</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">index</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1</span><span class="p">;</span><span class="w"> </span><span class="c1">// 选择 input1</span>
|
||
<span class="linenos">34</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="linenos">35</span>
|
||
<span class="hll"><span class="linenos">36</span><span class="w"> </span><span class="n">switchlayer_s</span><span class="p">(</span><span class="n">input_tensors</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">output</span><span class="p">,</span><span class="w"> </span><span class="n">index</span><span class="p">,</span><span class="w"> </span><span class="n">core_mask</span><span class="p">);</span>
|
||
</span><span class="linenos">37</span>
|
||
<span class="linenos">38</span><span class="w"> </span><span class="c1">// 此时 output.data 包含 input1.data 的副本</span>
|
||
<span class="linenos">39</span>
|
||
<span class="linenos">40</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">41</span><span class="p">}</span>
|
||
</pre></div>
|
||
</div>
|
||
<p><strong>私有存储版本:</strong></p>
|
||
<dl class="c function">
|
||
<dt class="sig sig-object c" id="c.switchlayer_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">switchlayer_p</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">TensorC</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">input_tensors</span></span>, <span class="n"><span class="pre">TensorC</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">output</span></span>, <span class="kt"><span class="pre">int</span></span><span class="w"> </span><span class="n"><span class="pre">index</span></span><span class="sig-paren">)</span><a class="headerlink" href="#c.switchlayer_p" title="永久链接至目标"></a><br /></dt>
|
||
<dd></dd></dl>
|
||
|
||
<p><strong>C调用示例：</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"><stdio.h></span>
|
||
<span class="linenos"> 3</span><span class="cp">#include</span><span class="w"> </span><span class="cpf"><switchlayer.h></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L2空间</span>
|
||
<span class="linenos"> 7</span><span class="w"> </span><span class="n">TensorC</span><span class="w"> </span><span class="n">input0</span><span class="p">,</span><span class="w"> </span><span class="n">input1</span><span class="p">,</span><span class="w"> </span><span class="n">input2</span><span class="p">;</span>
|
||
<span class="linenos"> 8</span><span class="w"> </span><span class="n">TensorC</span><span class="w"> </span><span class="n">output</span><span class="p">;</span>
|
||
<span class="linenos"> 9</span>
|
||
<span class="linenos">10</span><span class="w"> </span><span class="n">input0</span><span class="p">.</span><span class="n">type_size</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">// float32</span>
|
||
<span class="linenos">11</span><span class="w"> </span><span class="n">input0</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">12</span><span class="w"> </span><span class="n">input0</span><span class="p">.</span><span class="n">data</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">13</span>
|
||
<span class="linenos">14</span><span class="w"> </span><span class="n">input1</span><span class="p">.</span><span class="n">type_size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">4</span><span class="p">;</span>
|
||
<span class="linenos">15</span><span class="w"> </span><span class="n">input1</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">16</span><span class="w"> </span><span class="n">input1</span><span class="p">.</span><span class="n">data</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">0x10001000</span><span class="p">;</span>
|
||
<span class="linenos">17</span>
|
||
<span class="linenos">18</span><span class="w"> </span><span class="n">input2</span><span class="p">.</span><span class="n">type_size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">4</span><span class="p">;</span>
|
||
<span class="linenos">19</span><span class="w"> </span><span class="n">input2</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">20</span><span class="w"> </span><span class="n">input2</span><span class="p">.</span><span class="n">data</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">0x10002000</span><span class="p">;</span>
|
||
<span class="linenos">21</span>
|
||
<span class="linenos">22</span><span class="w"> </span><span class="n">output</span><span class="p">.</span><span class="n">type_size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">4</span><span class="p">;</span>
|
||
<span class="linenos">23</span><span class="w"> </span><span class="n">output</span><span class="p">.</span><span class="n">size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mi">1000</span><span class="p">;</span>
|
||
<span class="linenos">24</span><span class="w"> </span><span class="n">output</span><span class="p">.</span><span class="n">data</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">0x10003000</span><span class="p">;</span><span class="w"> </span><span class="c1">// 需要预先分配足够的内存</span>
|
||
<span class="linenos">25</span>
|
||
<span class="linenos">26</span><span class="w"> </span><span class="n">TensorC</span><span class="o">*</span><span class="w"> </span><span class="n">input_tensors</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">{</span><span class="o">&</span><span class="n">input0</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">input1</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">input2</span><span class="p">};</span>
|
||
<span class="linenos">27</span>
|
||
<span class="linenos">28</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">index</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">// 选择 input0</span>
|
||
<span class="linenos">29</span>
|
||
<span class="hll"><span class="linenos">30</span><span class="w"> </span><span class="n">switchlayer_p</span><span class="p">(</span><span class="n">input_tensors</span><span class="p">,</span><span class="w"> </span><span class="o">&</span><span class="n">output</span><span class="p">,</span><span class="w"> </span><span class="n">index</span><span class="p">);</span>
|
||
</span><span class="linenos">31</span>
|
||
<span class="linenos">32</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">33</span><span class="p">}</span>
|
||
</pre></div>
|
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