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MindSpore Signal+ 使用手册
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<section id="expanddims">
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<h1>ExpandDims<a class="headerlink" href="#expanddims" title="Link to this heading"></a></h1>
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<p>对输入张量在给定的轴上添加额外维度。由于该算子仅改变张量形状，因此其DSP算子的作用是将数据从输入张量完整拷贝到输出张量。</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>src</strong> - 输入地址</p></li>
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<li><p><strong>total_copy_size</strong> - 计算得到的总共需拷贝的数据量，单位为字节。</p></li>
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<li><p><strong>core_mask</strong> - 核掩码。</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>dst</strong> - 输出地址。</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>FT78NE 支持int8, int16, int32, fp32, fp64, cplx64, cplx128</p></li>
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<li><p>MT7004 支持fp16, fp32, int16, int32, cplx64</p></li>
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</ul>
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</div>
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<p><strong>共享/私有存储版本:</strong></p>
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<dl class="c function">
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<dt class="sig sig-object c" id="c.anytype_expand_dims_anycore">
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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">anytype_expand_dims_anycore</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">total_copy_size</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.anytype_expand_dims_anycore" title="Link to this definition"></a><br /></dt>
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<dd></dd></dl>
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<p>各种数据类型、私有及共享空间版本均使用该函数。</p>
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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="kt">void</span><span class="w"> </span><span class="nf">main</span><span class="p">(){</span>
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<span class="linenos">2</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="mb">0b1111</span><span class="p">;</span><span class="w"> </span><span class="c1">// 测试单核时核掩码设置为0b0001即可</span>
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<span class="linenos">3</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">core_num</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">GetCoreNum</span><span class="p">(</span><span class="n">core_mask</span><span class="p">);</span>
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<span class="linenos">4</span><span class="w"> </span><span class="kt">float</span><span class="o">*</span><span class="w"> </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="o">*</span><span class="p">)</span><span class="mh">0x88000000</span><span class="p">;</span><span class="w"> </span><span class="c1">// 测试私有空间时地址设置在私有空间内即可</span>
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<span class="linenos">5</span><span class="w"> </span><span class="kt">float</span><span class="o">*</span><span class="w"> </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="o">*</span><span class="p">)</span><span class="mh">0x98000000</span><span class="p">;</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">shape</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="mi">1</span><span class="p">,</span><span class="w"> </span><span class="mi">10</span><span class="p">,</span><span class="w"> </span><span class="mi">10</span><span class="p">};</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">total_copy_size</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="n">shape</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="k">sizeof</span><span class="p">(</span><span class="kt">float</span><span class="p">);</span>
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<span class="hll"><span class="linenos">8</span><span class="w"> </span><span class="n">anytype_expand_dims_anycore</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">total_copy_size</span><span class="p">,</span><span class="w"> </span><span class="n">core_mask</span><span class="p">);</span>
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</span><span class="linenos">9</span><span class="p">}</span>
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</pre></div>
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