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<li class="breadcrumb-item active">Resize</li>
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<a href="../../_sources/functionlib/dsplib/resize.rst.txt" rel="nofollow"> 查看页面源码</a>
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<section id="resize">
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<h1>Resize<a class="headerlink" href="#resize" title="Link to this heading"></a></h1>
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<p>对输入图像使用给定的插值方式去调整为给定的尺寸大小。</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>input</strong> - 输入数据的地址</p></li>
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<li><p><strong>param</strong> - 算子计算所需参数的结构体。其各成员见下述。</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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</dl>
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<p><strong>ResizeParameter定义：</strong></p>
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<div class="highlight-c notranslate"><div class="highlight"><pre><span></span><span class="linenos"> 1</span><span class="k">typedef</span><span class="w"> </span><span class="k">struct</span><span class="w"> </span><span class="nc">ResizeParameter</span><span class="w"> </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="o">*</span><span class="w"> </span><span class="n">input_shape_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 输入张量形状</span>
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<span class="linenos"> 3</span><span class="w"> </span><span class="kt">int</span><span class="o">*</span><span class="w"> </span><span class="n">output_shape_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 输出张量形状</span>
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<span class="linenos"> 4</span><span class="w"> </span><span class="kt">int</span><span class="o">*</span><span class="w"> </span><span class="n">x_lefts_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 用于存储预处理结果</span>
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<span class="linenos"> 5</span><span class="w"> </span><span class="kt">int</span><span class="o">*</span><span class="w"> </span><span class="n">x_rights_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 用于存储预处理结果</span>
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<span class="linenos"> 6</span><span class="w"> </span><span class="kt">int</span><span class="o">*</span><span class="w"> </span><span class="n">y_tops_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 用于存储预处理结果</span>
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<span class="linenos"> 7</span><span class="w"> </span><span class="kt">int</span><span class="o">*</span><span class="w"> </span><span class="n">y_bottoms_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 用于存储预处理结果</span>
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<span class="linenos"> 8</span><span class="w"> </span><span class="kt">void</span><span class="o">*</span><span class="w"> </span><span class="n">x_weights_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 用于存储预处理结果</span>
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<span class="linenos"> 9</span><span class="w"> </span><span class="kt">void</span><span class="o">*</span><span class="w"> </span><span class="n">y_weights_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 用于存储预处理结果</span>
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<span class="linenos">10</span><span class="w"> </span><span class="kt">void</span><span class="o">*</span><span class="w"> </span><span class="n">line_buffers_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 用于存储中间结果</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">method_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 所用的插值方法，0:最邻近插值，1:双线性插值，2:双三次插值</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">coordinate_transform_mode_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 像素点对齐方式，0:非对称，1:中心对齐，2:偏移半像素</span>
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<span class="linenos">13</span><span class="w"> </span><span class="kt">float</span><span class="w"> </span><span class="n">cubic_coeff_</span><span class="p">;</span><span class="w"> </span><span class="c1">// 一个仅在双三次插值中使用到的系数</span>
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<span class="linenos">14</span><span class="p">}</span><span class="w"> </span><span class="n">ResizeParameter</span><span class="p">;</span>
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</pre></div>
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</div>
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<dl class="simple">
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<dt>输出：</dt><dd><ul class="simple">
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<li><p><strong>output</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, fp32</p></li>
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<li><p>MT7004 支持fp16, fp32</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.i8_resize_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">i8_resize_anycore</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">int8_t</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">input</span></span>, <span class="n"><span class="pre">int8_t</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="n"><span class="pre">ResizeParameter</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">param</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.i8_resize_anycore" title="Link to this definition"></a><br /></dt>
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<dd></dd></dl>
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<dl class="c function">
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<dt class="sig sig-object c" id="c.hp_resize_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">hp_resize_anycore</span></span></span><span class="sig-paren">(</span><span class="n"><span class="pre">half</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">input</span></span>, <span class="n"><span class="pre">half</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="n"><span class="pre">ResizeParameter</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">param</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.hp_resize_anycore" title="Link to this definition"></a><br /></dt>
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<dd></dd></dl>
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<dl class="c function">
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<dt class="sig sig-object c" id="c.fp_resize_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">fp_resize_anycore</span></span></span><span class="sig-paren">(</span><span class="kt"><span class="pre">float</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">input</span></span>, <span class="kt"><span class="pre">float</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="n"><span class="pre">ResizeParameter</span></span><span class="w"> </span><span class="p"><span class="pre">*</span></span><span class="n"><span class="pre">param</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.fp_resize_anycore" title="Link to this definition"></a><br /></dt>
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<dd></dd></dl>
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<p>私有及共享空间版本均使用这些函数。</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">TestResizeFp32SMC</span><span class="p">(</span><span class="kt">int</span><span class="o">*</span><span class="w"> </span><span class="n">input_shape</span><span class="p">,</span><span class="w"> </span><span class="kt">int</span><span class="o">*</span><span class="w"> </span><span class="n">output_shape</span><span class="p">,</span><span class="w"> </span><span class="n">ResizeMethod</span><span class="w"> </span><span class="n">method</span><span class="p">,</span><span class="w"> </span><span class="n">CoordinateTransformMode</span><span class="w"> </span><span class="n">mode</span><span class="p">,</span><span class="w"> </span><span class="kt">float</span><span class="w"> </span><span class="n">cubic_coeff</span><span class="p">,</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">core_mask</span><span class="p">)</span><span class="w"> </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_id</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">get_core_id</span><span class="p">();</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">int</span><span class="w"> </span><span class="n">logic_core_id</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">GetLogicCoreId</span><span class="p">(</span><span class="n">core_mask</span><span class="p">,</span><span class="w"> </span><span class="n">core_id</span><span class="p">);</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">input</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">0x84000000</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"> 6</span><span class="w"> </span><span class="kt">float</span><span class="o">*</span><span class="w"> </span><span class="n">output</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">0x85000000</span><span class="p">;</span>
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<span class="linenos"> 7</span><span class="w"> </span><span class="n">ResizeParameter</span><span class="o">*</span><span class="w"> </span><span class="n">param</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="n">ResizeParameter</span><span class="o">*</span><span class="p">)</span><span class="mh">0x86000000</span><span class="p">;</span>
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<span class="linenos"> 8</span><span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="n">logic_core_id</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="p">{</span>
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<span class="linenos"> 9</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">coordinate_transform_mode_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">mode</span><span class="p">;</span>
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<span class="linenos">10</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">method_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">method</span><span class="p">;</span>
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<span class="linenos">11</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">cubic_coeff_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">cubic_coeff</span><span class="p">;</span>
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<span class="linenos">12</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">input_shape_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">int</span><span class="o">*</span><span class="p">)</span><span class="mh">0x87000000</span><span class="p">;</span>
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<span class="linenos">13</span><span class="w"> </span><span class="n">memcpy</span><span class="p">(</span><span class="n">param</span><span class="o">-></span><span class="n">input_shape_</span><span class="p">,</span><span class="w"> </span><span class="n">input_shape</span><span class="p">,</span><span class="w"> </span><span class="k">sizeof</span><span class="p">(</span><span class="kt">int</span><span class="p">)</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="mi">4</span><span class="p">);</span>
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<span class="linenos">14</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">output_shape_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">int</span><span class="o">*</span><span class="p">)</span><span class="mh">0x87100000</span><span class="p">;</span>
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<span class="linenos">15</span><span class="w"> </span><span class="n">memcpy</span><span class="p">(</span><span class="n">param</span><span class="o">-></span><span class="n">output_shape_</span><span class="p">,</span><span class="w"> </span><span class="n">output_shape</span><span class="p">,</span><span class="w"> </span><span class="k">sizeof</span><span class="p">(</span><span class="kt">int</span><span class="p">)</span><span class="w"> </span><span class="o">*</span><span class="w"> </span><span class="mi">4</span><span class="p">);</span>
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<span class="linenos">16</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">line_buffers_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">void</span><span class="o">*</span><span class="p">)</span><span class="mh">0x88000000</span><span class="p">;</span>
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<span class="linenos">17</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">x_lefts_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">int</span><span class="o">*</span><span class="p">)</span><span class="mh">0x89000000</span><span class="p">;</span>
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<span class="linenos">18</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">x_rights_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">int</span><span class="o">*</span><span class="p">)</span><span class="mh">0x8A000000</span><span class="p">;</span>
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<span class="linenos">19</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">y_bottoms_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">int</span><span class="o">*</span><span class="p">)</span><span class="mh">0x8B000000</span><span class="p">;</span>
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<span class="linenos">20</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">y_tops_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">int</span><span class="o">*</span><span class="p">)</span><span class="mh">0x8C000000</span><span class="p">;</span>
|
||
<span class="linenos">21</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">x_weights_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">void</span><span class="o">*</span><span class="p">)</span><span class="mh">0x8D000000</span><span class="p">;</span>
|
||
<span class="linenos">22</span><span class="w"> </span><span class="n">param</span><span class="o">-></span><span class="n">y_weights_</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">(</span><span class="kt">void</span><span class="o">*</span><span class="p">)</span><span class="mh">0x8E000000</span><span class="p">;</span>
|
||
<span class="linenos">23</span><span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="n">method</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">BILINEAR</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="linenos">24</span><span class="w"> </span><span class="n">PrepareResizeBilinear</span><span class="p">(</span><span class="n">param</span><span class="p">);</span><span class="w"> </span><span class="c1">// 做预处理</span>
|
||
<span class="linenos">25</span><span class="w"> </span><span class="p">}</span><span class="w"> </span><span class="k">else</span><span class="w"> </span><span class="k">if</span><span class="w"> </span><span class="p">(</span><span class="n">method</span><span class="w"> </span><span class="o">==</span><span class="w"> </span><span class="n">CUBIC</span><span class="p">)</span><span class="w"> </span><span class="p">{</span>
|
||
<span class="linenos">26</span><span class="w"> </span><span class="n">PrepareResizeBicubic</span><span class="p">(</span><span class="n">param</span><span class="p">,</span><span class="w"> </span><span class="n">cubic_coeff</span><span class="p">);</span><span class="w"> </span><span class="c1">// 做预处理</span>
|
||
<span class="linenos">27</span><span class="w"> </span><span class="p">}</span>
|
||
<span class="linenos">28</span><span class="w"> </span><span class="p">}</span>
|
||
<span class="linenos">29</span><span class="w"> </span><span class="n">sys_bar</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span><span class="w"> </span><span class="n">core_num</span><span class="p">);</span><span class="w"> </span><span class="c1">// 初始化参数完成后进行同步</span>
|
||
<span class="hll"><span class="linenos">30</span><span class="w"> </span><span class="n">fp_resize_anycore</span><span class="p">(</span><span class="n">input</span><span class="p">,</span><span class="w"> </span><span class="n">check</span><span class="p">,</span><span class="w"> </span><span class="n">param</span><span class="p">,</span><span class="w"> </span><span class="n">core_mask</span><span class="p">);</span>
|
||
</span><span class="linenos">31</span><span class="p">}</span>
|
||
<span class="linenos">32</span>
|
||
<span class="linenos">33</span><span class="kt">void</span><span class="w"> </span><span class="nf">main</span><span class="p">(){</span>
|
||
<span class="linenos">34</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">input_shape</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">{</span><span class="mi">2</span><span class="p">,</span><span class="w"> </span><span class="mi">4</span><span class="p">,</span><span class="w"> </span><span class="mi">4</span><span class="p">,</span><span class="w"> </span><span class="mi">4</span><span class="p">};</span>
|
||
<span class="linenos">35</span><span class="w"> </span><span class="kt">int</span><span class="w"> </span><span class="n">output_shape</span><span class="p">[</span><span class="mi">4</span><span class="p">]</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="p">{</span><span class="mi">2</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="p">,</span><span class="w"> </span><span class="mi">8</span><span class="p">,</span><span class="w"> </span><span class="mi">4</span><span class="p">};</span>
|
||
<span class="linenos">36</span><span class="w"> </span><span class="n">ResizeMethod</span><span class="w"> </span><span class="n">method</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">NEAREST</span><span class="p">;</span>
|
||
<span class="linenos">37</span><span class="w"> </span><span class="n">CoordinateTransformMode</span><span class="w"> </span><span class="n">mode</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="n">ALIGN_CORNERS</span><span class="p">;</span>
|
||
<span class="linenos">38</span><span class="w"> </span><span class="kt">float</span><span class="w"> </span><span class="n">cubic_coeff</span><span class="w"> </span><span class="o">=</span><span class="w"> </span><span class="mf">-0.75</span><span class="p">;</span>
|
||
<span class="linenos">39</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>
|
||
<span class="linenos">40</span><span class="w"> </span><span class="n">TestResizeFp32SMC</span><span class="p">(</span><span class="n">input_shape</span><span class="p">,</span><span class="w"> </span><span class="n">output_shape</span><span class="p">,</span><span class="w"> </span><span class="n">method</span><span class="p">,</span><span class="w"> </span><span class="n">mode</span><span class="p">,</span><span class="w"> </span><span class="n">cubic_coeff</span><span class="p">,</span><span class="w"> </span><span class="n">core_mask</span><span class="p">);</span>
|
||
<span class="linenos">41</span><span class="p">}</span>
|
||
</pre></div>
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