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MindSpore Signal+ 使用手册
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<a href="../../_sources/functionlib/dsplib/tensorarraywrite.rst.txt" rel="nofollow"> 查看页面源码</a>
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<section id="tensorarraywrite">
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<h1>TensorarrayWrite<a class="headerlink" href="#tensorarraywrite" title="Link to this heading"></a></h1>
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<p>将张量写入到张量数组的指定索引位置。该算子不区分数据类型，适用于所有数据类型。</p>
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<div class="math notranslate nohighlight">
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\[\text{output\_data} = \text{handle\_data}[\text{index}]\]</div>
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<p>该算子会将 <cite>handle_data[index]</cite> 指向的数据复制到 <cite>output_data</cite> 中，复制的大小为 <cite>handle_size[index]</cite> 字节。</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>handle_data</strong> - 张量数组的数据指针数组（void** 类型），每个元素指向一个张量的数据。</p></li>
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<li><p><strong>handle_size</strong> - 每个张量的大小数组（int* 类型），<cite>handle_size[i]</cite> 表示 <cite>handle_data[i]</cite> 指向的数据大小（字节）。</p></li>
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<li><p><strong>index</strong> - 读取的索引（int 类型），指定从 <cite>handle_data</cite> 数组中读取哪个张量。</p></li>
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<li><p><strong>core_mask</strong> - 核掩码（int），仅共享存储版本需要。</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>output_data</strong> - 输出数据指针（void* 类型），包含复制后的数据。</p></li>
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<li><p><strong>output_size</strong> - 输出大小指针（int* 类型），指向存储输出大小的变量。调用后，<cite>*output_size</cite> 会被设置为 <cite>handle_size[index]</cite>。</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fp32, int16, int32, cplx64</p></li>
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<li><p>MT7004 支持fp16, fp32, int16, int32, cplx64</p></li>
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<li><p>算子会复制数据，输出数据与输入数据独立</p></li>
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<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>handle_size[index]</cite> 字节）</p></li>
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<li><p><cite>index</cite> 必须在 <cite>handle_data</cite> 数组的有效范围内</p></li>
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</ul>
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</div>
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<p><strong>共享存储版本:</strong></p>
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<p>见TensorArrayRead。</p>
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<p><strong>私有存储版本:</strong></p>
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<p>见TensorArrayRead。</p>
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