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<div class="section" id="export-other-legacy">
<h1>Export: other / legacy<a class="headerlink" href="#export-other-legacy" title="Permalink to this headline">¶</a></h1>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">n2d2</span> <span class="s2">"mnist24_16c4s2_24c5s2_150_10.ini"</span> <span class="o">-</span><span class="n">export</span> <span class="n">CPP_OpenCL</span>
</pre></div>
</div>
<p>Export types:</p>
<ul class="simple">
<li><p><code class="docutils literal notranslate"><span class="pre">C</span></code> C export using OpenMP;</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">C_HLS</span></code> C export tailored for HLS with Vivado HLS;</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">CPP_OpenCL</span></code> C++ export using OpenCL;</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">CPP_Cuda</span></code> C++ export using Cuda;</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">CPP_cuDNN</span></code> C++ export using cuDNN;</p></li>
<li><p><code class="docutils literal notranslate"><span class="pre">SC_Spike</span></code> SystemC spike export.</p></li>
</ul>
<p>Other program options related to the exports:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 8%" />
<col style="width: 92%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>Option [default value]</p></th>
<th class="head"><p>Description</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">-nbbits</span></code> [8]</p></td>
<td><p>Number of bits for the weights and signals. Must be 8, 16, 32 or 64 for integer export, or -32, -64 for floating point export. The number of bits can be arbitrary for the <code class="docutils literal notranslate"><span class="pre">C_HLS</span></code> export (for example, 6 bits). It must be -32 for the <code class="docutils literal notranslate"><span class="pre">CPP_TensorRT</span></code> export, the precision is directly set at runtime</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">-calib</span></code> [0]</p></td>
<td><p>Number of stimuli used for the calibration. 0 = no calibration (default), -1 = use the full test dataset for calibration</p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">-calib-passes</span></code> [2]</p></td>
<td><p>Number of KL passes for determining the layer output values distribution truncation threshold (0 = use the max. value, no truncation)</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">-no-unsigned</span></code></p></td>
<td><p>If present, disable the use of unsigned data type in integer exports</p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">-db-export</span></code> [-1]</p></td>
<td><p>Max. number of stimuli to export (0 = no dataset export, -1 = unlimited)</p></td>
</tr>
</tbody>
</table>
<div class="section" id="c-export">
<h2>C export<a class="headerlink" href="#c-export" title="Permalink to this headline">¶</a></h2>
<p>Test the exported network:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">cd</span> <span class="n">export_C_int8</span>
<span class="n">make</span>
<span class="o">./</span><span class="nb">bin</span><span class="o">/</span><span class="n">n2d2_test</span>
</pre></div>
</div>
<p>The result should look like:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="o">...</span>
<span class="mf">1652.00</span><span class="o">/</span><span class="mi">1762</span> <span class="p">(</span><span class="n">avg</span> <span class="o">=</span> <span class="mf">93.757094</span><span class="o">%</span><span class="p">)</span>
<span class="mf">1653.00</span><span class="o">/</span><span class="mi">1763</span> <span class="p">(</span><span class="n">avg</span> <span class="o">=</span> <span class="mf">93.760635</span><span class="o">%</span><span class="p">)</span>
<span class="mf">1654.00</span><span class="o">/</span><span class="mi">1764</span> <span class="p">(</span><span class="n">avg</span> <span class="o">=</span> <span class="mf">93.764172</span><span class="o">%</span><span class="p">)</span>
<span class="n">Tested</span> <span class="mi">1764</span> <span class="n">stimuli</span>
<span class="n">Success</span> <span class="n">rate</span> <span class="o">=</span> <span class="mf">93.764172</span><span class="o">%</span>
<span class="n">Process</span> <span class="n">time</span> <span class="n">per</span> <span class="n">stimulus</span> <span class="o">=</span> <span class="mf">187.548186</span> <span class="n">us</span> <span class="p">(</span><span class="mi">12</span> <span class="n">threads</span><span class="p">)</span>
<span class="n">Confusion</span> <span class="n">matrix</span><span class="p">:</span>
<span class="o">-------------------------------------------------</span>
<span class="o">|</span> <span class="n">T</span> \ <span class="n">E</span> <span class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="mi">3</span> <span class="o">|</span>
<span class="o">-------------------------------------------------</span>
<span class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span class="mi">329</span> <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="mi">5</span> <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="o">|</span> <span class="o">|</span> <span class="mf">97.63</span><span class="o">%</span> <span class="o">|</span> <span class="mf">0.30</span><span class="o">%</span> <span class="o">|</span> <span class="mf">1.48</span><span class="o">%</span> <span class="o">|</span> <span class="mf">0.59</span><span class="o">%</span> <span class="o">|</span>
<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span class="mi">692</span> <span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="mi">6</span> <span class="o">|</span>
<span class="o">|</span> <span class="o">|</span> <span class="mf">0.00</span><span class="o">%</span> <span class="o">|</span> <span class="mf">98.86</span><span class="o">%</span> <span class="o">|</span> <span class="mf">0.29</span><span class="o">%</span> <span class="o">|</span> <span class="mf">0.86</span><span class="o">%</span> <span class="o">|</span>
<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span> <span class="mi">11</span> <span class="o">|</span> <span class="mi">27</span> <span class="o">|</span> <span class="mi">609</span> <span class="o">|</span> <span class="mi">55</span> <span class="o">|</span>
<span class="o">|</span> <span class="o">|</span> <span class="mf">1.57</span><span class="o">%</span> <span class="o">|</span> <span class="mf">3.85</span><span class="o">%</span> <span class="o">|</span> <span class="mf">86.75</span><span class="o">%</span> <span class="o">|</span> <span class="mf">7.83</span><span class="o">%</span> <span class="o">|</span>
<span class="o">|</span> <span class="mi">3</span> <span class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span class="mi">1</span> <span class="o">|</span> <span class="mi">24</span> <span class="o">|</span>
<span class="o">|</span> <span class="o">|</span> <span class="mf">0.00</span><span class="o">%</span> <span class="o">|</span> <span class="mf">0.00</span><span class="o">%</span> <span class="o">|</span> <span class="mf">4.00</span><span class="o">%</span> <span class="o">|</span> <span class="mf">96.00</span><span class="o">%</span> <span class="o">|</span>
<span class="o">-------------------------------------------------</span>
<span class="n">T</span><span class="p">:</span> <span class="n">Target</span> <span class="n">E</span><span class="p">:</span> <span class="n">Estimated</span>
</pre></div>
</div>
</div>
<div class="section" id="cpp-opencl-export">
<h2>CPP_OpenCL export<a class="headerlink" href="#cpp-opencl-export" title="Permalink to this headline">¶</a></h2>
<p>The OpenCL export can run the generated program in GPU or CPU
architectures. Compilation features:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 19%" />
<col style="width: 81%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>Preprocessor command [default value]</p></th>
<th class="head"><p>Description</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">PROFILING</span></code> [0]</p></td>
<td><p>Compile the binary with a synchronization between each layers and return the mean execution time of each layer. This preprocessor option can decrease performances.</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">GENERATE_KBIN</span></code> [0]</p></td>
<td><p>Generate the binary output of the OpenCL kernel .cl file use. The binary is store in the /bin folder.</p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">LOAD_KBIN</span></code> [0]</p></td>
<td><p>Indicate to the program to load an OpenCL kernel as a binary from the /bin folder instead of a .cl file.</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">CUDA</span></code> [0]</p></td>
<td><p>Use the CUDA OpenCL SDK locate at <span class="math notranslate nohighlight">\({/usr/local/cuda}\)</span></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">MALI</span></code> [0]</p></td>
<td><p>Use the MALI OpenCL SDK locate at <span class="math notranslate nohighlight">\({/usr/Mali_OpenCL_SDK_vXXX}\)</span></p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">INTEL</span></code> [0]</p></td>
<td><p>Use the INTEL OpenCL SDK locate at <span class="math notranslate nohighlight">\({/opt/intel/opencl}\)</span></p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">AMD</span></code> [1]</p></td>
<td><p>Use the AMD OpenCL SDK locate at <span class="math notranslate nohighlight">\({/opt/AMDAPPSDK-XXX}\)</span></p></td>
</tr>
</tbody>
</table>
<p>Program options related to the OpenCL export:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 14%" />
<col style="width: 86%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>Option [default value]</p></th>
<th class="head"><p>Description</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">-cpu</span></code></p></td>
<td><p>If present, force to use a CPU architecture to run the program</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">-gpu</span></code></p></td>
<td><p>If present, force to use a GPU architecture to run the program</p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">-batch</span></code> [1]</p></td>
<td><p>Size of the batch to use</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">-stimulus</span></code> [NULL]</p></td>
<td><p>Path to a specific input stimulus to test. For example: -stimulus <span class="math notranslate nohighlight">\({/stimulus/env0000.pgm}\)</span> command will test the file env0000.pgm of the stimulus folder.</p></td>
</tr>
</tbody>
</table>
<p>Test the exported network:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">cd</span> <span class="n">export_CPP_OpenCL_float32</span>
<span class="n">make</span>
<span class="o">./</span><span class="nb">bin</span><span class="o">/</span><span class="n">n2d2_opencl_test</span> <span class="o">-</span><span class="n">gpu</span>
</pre></div>
</div>
</div>
<div class="section" id="cpp-cudnn-export">
<h2>CPP_cuDNN export<a class="headerlink" href="#cpp-cudnn-export" title="Permalink to this headline">¶</a></h2>
<p>The cuDNN export can run the generated program in NVIDIA GPU
architecture. It use CUDA and cuDNN library. Compilation features:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 19%" />
<col style="width: 81%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>Preprocessor command [default value]</p></th>
<th class="head"><p>Description</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">PROFILING</span></code> [0]</p></td>
<td><p>Compile the binary with a synchronization between each layers and return the mean execution time of each layer. This preprocessor option can decrease performances.</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">ARCH32</span></code> [0]</p></td>
<td><p>Compile the binary with the 32-bits architecture compatibility.</p></td>
</tr>
</tbody>
</table>
<p>Program options related to the cuDNN export:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 14%" />
<col style="width: 86%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head"><p>Option [default value]</p></th>
<th class="head"><p>Description</p></th>
</tr>
</thead>
<tbody>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">-batch</span></code> [1]</p></td>
<td><p>Size of the batch to use</p></td>
</tr>
<tr class="row-odd"><td><p><code class="docutils literal notranslate"><span class="pre">-dev</span></code> [0]</p></td>
<td><p>CUDA Device ID selection</p></td>
</tr>
<tr class="row-even"><td><p><code class="docutils literal notranslate"><span class="pre">-stimulus</span></code> [NULL]</p></td>
<td><p>Path to a specific input stimulus to test. For example: -stimulus <span class="math notranslate nohighlight">\({/stimulus/env0000.pgm}\)</span> command will test the file env0000.pgm of the stimulus folder.</p></td>
</tr>
</tbody>
</table>
<p>Test the exported network:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">cd</span> <span class="n">export_CPP_cuDNN_float32</span>
<span class="n">make</span>
<span class="o">./</span><span class="nb">bin</span><span class="o">/</span><span class="n">n2d2_cudnn_test</span>
</pre></div>
</div>
</div>
<div class="section" id="c-hls-export">
<h2>C_HLS export<a class="headerlink" href="#c-hls-export" title="Permalink to this headline">¶</a></h2>
<p>Test the exported network:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">cd</span> <span class="n">export_C_HLS_int8</span>
<span class="n">make</span>
<span class="o">./</span><span class="nb">bin</span><span class="o">/</span><span class="n">n2d2_test</span>
</pre></div>
</div>
<p>Run the High-Level Synthesis (HLS) with Xilinx Vivado HLS:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="n">vivado_hls</span> <span class="o">-</span><span class="n">f</span> <span class="n">run_hls</span><span class="o">.</span><span class="n">tcl</span>
</pre></div>
</div>
</div>
<div class="section" id="layer-compatibility-table">
<h2>Layer compatibility table<a class="headerlink" href="#layer-compatibility-table" title="Permalink to this headline">¶</a></h2>
<p>Layer compatibility table in function of the export type:</p>
<table class="docutils align-default">
<colgroup>
<col style="width: 23%" />
<col style="width: 15%" />
<col style="width: 20%" />
<col style="width: 20%" />
<col style="width: 23%" />
</colgroup>
<thead>
<tr class="row-odd"><th class="head" rowspan="2"><p>Layer
compatibility
table</p></th>
<th class="head" colspan="4"><p>Export type</p></th>
</tr>
<tr class="row-even"><th class="head"><p>C</p></th>
<th class="head"><p>C_HLS</p></th>
<th class="head"><p>CPP_OpenCL</p></th>
<th class="head"><p>CPP_TensorRT</p></th>
</tr>
</thead>
<tbody>
<tr class="row-odd"><td><p>Conv</p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-even"><td><p>Pool</p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-odd"><td><p>Fc</p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-even"><td><p>Softmax</p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-odd"><td><p>FMP</p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-even"><td><p>Deconv</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-odd"><td><p>ElemWise</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-even"><td><p>Resize</p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-odd"><td><p>Padding</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-even"><td><p>LRN</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-odd"><td><p>Anchor</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-even"><td><p>ObjectDet</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-odd"><td><p>ROIPooling</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
<tr class="row-even"><td><p>RP</p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="red"></span> ✗ <span class="raw-html"></font></span></p></td>
<td><p><span class="raw-html"><font color="green"></span> ✓ <span class="raw-html"></font></span></p></td>
</tr>
</tbody>
</table>
<p>BatchNorm is not mentionned because batch normalization parameters are
automatically fused with convolutions parameters with the command
“-fuse”.</p>
</div>
</div>
</div>
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