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<div class="title">NetworkQuantizerUtils.hpp</div> </div>
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<a href="_network_quantizer_utils_8hpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_network_quantization_scheme_8hpp.xhtml">NetworkQuantizationScheme.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_types_utils_8hpp.xhtml">armnn/TypesUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_layer_visitor_8hpp.xhtml">armnn/ILayerVisitor.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;utility&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="preprocessor">#include &lt;limits&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="preprocessor">#include &lt;boost/assert.hpp&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> srcType&gt;</div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a0e2bce68a1f7eff47ead4d9a2804eb91"> 23</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a0e2bce68a1f7eff47ead4d9a2804eb91">QuantizeConstant</a>(<span class="keyword">const</span> srcType* src, uint8_t* dst, <span class="keywordtype">size_t</span> numElements, <span class="keywordtype">float</span>&amp; scale, <span class="keywordtype">int</span>&amp; offset)</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;{</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; BOOST_ASSERT(src);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; BOOST_ASSERT(dst);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordtype">float</span> min = std::numeric_limits&lt;srcType&gt;::max();</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordtype">float</span> max = std::numeric_limits&lt;srcType&gt;::lowest();</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; numElements; ++i)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; min = std::min(min, src[i]);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; max = std::max(max, src[i]);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <a class="code" href="structarmnn_1_1_q_asymm_u8_quantization_scheme.xhtml">QAsymmU8QuantizationScheme</a> quantizationScheme;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="namespacearmnn.xhtml#a9b8e5a95f8c061bbbcdb036915dcb61a">OffsetScalePair</a> qParams = quantizationScheme.<a class="code" href="structarmnn_1_1_q_asymm_u8_quantization_scheme.xhtml#a9fb07d8d7554a1502e732b8afa92040a">ComputeScheme</a>(min, max);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; scale = qParams.first;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; offset = qParams.second;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; numElements; ++i)</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; {</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; dst[i] = armnn::Quantize&lt;uint8_t&gt;(src[i], scale, offset);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; }</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;}</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;<a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> <a class="code" href="namespacearmnn.xhtml#a310dd804fd70eadb1e8854325e63f0bd">CreateQuantizedConst</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>&amp; tensor, std::vector&lt;uint8_t&gt;&amp; backing);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> LayerContainer&gt;</div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a9835ef753dda5b5a2fe827680e41fda7"> 50</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="namespacearmnn.xhtml#a9835ef753dda5b5a2fe827680e41fda7">VisitLayers</a>(<span class="keyword">const</span> LayerContainer&amp; layerContainer, <a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>&amp; visitor)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;{</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; visitor.<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml#a463965a96896bf0d261b44eea5172c7b">StartVisit</a>();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keywordflow">for</span> (<span class="keyword">auto</span> layer : layerContainer)</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; {</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; layer-&gt;Accept(visitor);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; }</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; visitor.<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml#a4549b1bbb63fa26700d74854e388784f">FinishVisit</a>();</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;}</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="namespacearmnn_xhtml_a9b8e5a95f8c061bbbcdb036915dcb61a"><div class="ttname"><a href="namespacearmnn.xhtml#a9b8e5a95f8c061bbbcdb036915dcb61a">armnn::OffsetScalePair</a></div><div class="ttdeci">std::pair&lt; float, int &gt; OffsetScalePair</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantization_scheme_8hpp_source.xhtml#l00016">NetworkQuantizationScheme.hpp:16</a></div></div>
<div class="ttc" id="_tensor_8hpp_xhtml"><div class="ttname"><a href="_tensor_8hpp.xhtml">Tensor.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a9835ef753dda5b5a2fe827680e41fda7"><div class="ttname"><a href="namespacearmnn.xhtml#a9835ef753dda5b5a2fe827680e41fda7">armnn::VisitLayers</a></div><div class="ttdeci">void VisitLayers(const LayerContainer &amp;layerContainer, ILayerVisitor &amp;visitor)</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_utils_8hpp_source.xhtml#l00050">NetworkQuantizerUtils.hpp:50</a></div></div>
<div class="ttc" id="structarmnn_1_1_q_asymm_u8_quantization_scheme_xhtml"><div class="ttname"><a href="structarmnn_1_1_q_asymm_u8_quantization_scheme.xhtml">armnn::QAsymmU8QuantizationScheme</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_quantization_scheme_8hpp_source.xhtml#l00029">NetworkQuantizationScheme.hpp:29</a></div></div>
<div class="ttc" id="_types_utils_8hpp_xhtml"><div class="ttname"><a href="_types_utils_8hpp.xhtml">TypesUtils.hpp</a></div></div>
<div class="ttc" id="_i_layer_visitor_8hpp_xhtml"><div class="ttname"><a href="_i_layer_visitor_8hpp.xhtml">ILayerVisitor.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00199">Tensor.hpp:199</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0e2bce68a1f7eff47ead4d9a2804eb91"><div class="ttname"><a href="namespacearmnn.xhtml#a0e2bce68a1f7eff47ead4d9a2804eb91">armnn::QuantizeConstant</a></div><div class="ttdeci">void QuantizeConstant(const srcType *src, uint8_t *dst, size_t numElements, float &amp;scale, int &amp;offset)</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_utils_8hpp_source.xhtml#l00023">NetworkQuantizerUtils.hpp:23</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml_a463965a96896bf0d261b44eea5172c7b"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml#a463965a96896bf0d261b44eea5172c7b">armnn::ILayerVisitor::StartVisit</a></div><div class="ttdeci">virtual void StartVisit()</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00505">ILayerVisitor.hpp:505</a></div></div>
<div class="ttc" id="_network_quantization_scheme_8hpp_xhtml"><div class="ttname"><a href="_network_quantization_scheme_8hpp.xhtml">NetworkQuantizationScheme.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00016">ILayerVisitor.hpp:16</a></div></div>
<div class="ttc" id="structarmnn_1_1_q_asymm_u8_quantization_scheme_xhtml_a9fb07d8d7554a1502e732b8afa92040a"><div class="ttname"><a href="structarmnn_1_1_q_asymm_u8_quantization_scheme.xhtml#a9fb07d8d7554a1502e732b8afa92040a">armnn::QAsymmU8QuantizationScheme::ComputeScheme</a></div><div class="ttdeci">OffsetScalePair ComputeScheme(double min, double max) const override</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantization_scheme_8hpp_source.xhtml#l00031">NetworkQuantizationScheme.hpp:31</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a310dd804fd70eadb1e8854325e63f0bd"><div class="ttname"><a href="namespacearmnn.xhtml#a310dd804fd70eadb1e8854325e63f0bd">armnn::CreateQuantizedConst</a></div><div class="ttdeci">ConstTensor CreateQuantizedConst(const ConstTensor &amp;tensor, std::vector&lt; uint8_t &gt; &amp;backing)</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_utils_8cpp_source.xhtml#l00015">NetworkQuantizerUtils.cpp:15</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml_a4549b1bbb63fa26700d74854e388784f"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml#a4549b1bbb63fa26700d74854e388784f">armnn::ILayerVisitor::FinishVisit</a></div><div class="ttdeci">virtual void FinishVisit()</div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.xhtml#l00506">ILayerVisitor.hpp:506</a></div></div>
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