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<div class="title">QuantizerStrategy.hpp</div>  </div>
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<a href="_quantizer_strategy_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 © 2021 Arm Ltd and Contributors. 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">#include &quot;<a class="code" href="_network_8hpp.xhtml">Network.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_network_quantizer_utils_8hpp.xhtml">NetworkQuantizerUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_static_range_strategy_8hpp.xhtml">StaticRangeStrategy.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="_numeric_cast_8hpp.xhtml">armnn/utility/NumericCast.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="_polymorphic_downcast_8hpp.xhtml">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;{</div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantizer_strategy.xhtml">   15</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_quantizer_strategy.xhtml">QuantizerStrategy</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a></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;public :</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;    <a class="code" href="classarmnn_1_1_quantizer_strategy.xhtml#a7f9b9f65046b39e047e674ab5cd7a18f">QuantizerStrategy</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_range_tracker.xhtml">RangeTracker</a>&amp; rangeTracker,</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;                      <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_quantization_scheme.xhtml">IQuantizationScheme</a>* quantizationScheme,</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;                      <span class="keywordtype">bool</span> preserveType);</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;    <a class="code" href="classarmnn_1_1_quantizer_strategy.xhtml#a5869ec621b21f4a3841a08db126d1527">~QuantizerStrategy</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantizer_strategy.xhtml#ab79e40d3d0c6f4c9e24534f251306add">ExecuteStrategy</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a>* layer,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;                         <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_base_descriptor.xhtml">BaseDescriptor</a>&amp; descriptor,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;                         <span class="keyword">const</span> std::vector&lt;armnn::ConstTensor&gt;&amp; constants,</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                         <span class="keyword">const</span> <span class="keywordtype">char</span>* name,</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;                         <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> <span class="keywordtype">id</span>) <span class="keyword">override</span>;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;<span class="comment">    /// Extract the quantized network</span></div><div class="line"><a name="l00031"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantizer_strategy.xhtml#ae25c71d0c8fceed87f0b84fc032f71c8">   31</a></span>&#160;<span class="comment"></span>    <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> <a class="code" href="classarmnn_1_1_quantizer_strategy.xhtml#ae25c71d0c8fceed87f0b84fc032f71c8">RetrieveFinalNetwork</a>() { <span class="keywordflow">return</span> std::move(m_QuantizedNetwork); }</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">private</span>:<span class="comment"></span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;<span class="comment">    /// Connects the layer to preceeding layers and sets the quantization parameters based on recorded ranges</span></div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="comment"></span>    <span class="keywordtype">void</span> SetQuantizedInputConnections(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* srcLayer, <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* quantizedLayer);</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="comment">    /// Record the guids so we can easily find the layers later</span></div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;<span class="comment"></span>    <span class="keywordtype">void</span> RecordLayer(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* srcLayer, <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* qLayer);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;<span class="comment">    /// Sets the bias quantization scale based on input and weight scales</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;<span class="comment"></span>    <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a> CreateQuantizedBias(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml">IConnectableLayer</a>* srcLayer,</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                                    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_const_tensor.xhtml">ConstTensor</a>&amp; weights,</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                                    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_optional.xhtml">Optional&lt;ConstTensor&gt;</a>&amp; biases,</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                                    std::vector&lt;int32_t&gt;&amp; weightsBacking);</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;<span class="comment">    /// Reference to the static range visitor used to retrieve the quantization ranges</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;<span class="comment"></span>    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_range_tracker.xhtml">RangeTracker</a>&amp; m_Ranges;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;<span class="comment">    /// Quantized version of the model we are building up</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;<span class="comment"></span>    <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> m_QuantizedNetwork;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;<span class="comment">    /// Mapping from input network guids to quantized network guids</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;<span class="comment"></span>    std::unordered_map&lt;LayerGuid, LayerGuid&gt; m_OriginalToQuantizedGuidMap;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;<span class="comment"></span></div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;<span class="comment">    /// Mapping from guid to layer in quantized network</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;<span class="comment"></span>    std::unordered_map&lt;LayerGuid, IConnectableLayer*&gt; m_QuantizedGuidToLayerMap;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_i_quantization_scheme.xhtml">IQuantizationScheme</a>* m_QuantizationScheme;</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="keyword">const</span> <span class="keywordtype">bool</span> m_PreserveType;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;};</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00062">INetwork.hpp:62</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="classarmnn_1_1_range_tracker_xhtml"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml">armnn::RangeTracker</a></div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8hpp_source.xhtml#l00017">RangeTracker.hpp:17</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantizer_strategy_xhtml_ab79e40d3d0c6f4c9e24534f251306add"><div class="ttname"><a href="classarmnn_1_1_quantizer_strategy.xhtml#ab79e40d3d0c6f4c9e24534f251306add">armnn::QuantizerStrategy::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(const armnn::IConnectableLayer *layer, const BaseDescriptor &amp;descriptor, const std::vector&lt; armnn::ConstTensor &gt; &amp;constants, const char *name, const armnn::LayerBindingId id) override</div><div class="ttdef"><b>Definition:</b> <a href="_quantizer_strategy_8cpp_source.xhtml#l00118">QuantizerStrategy.cpp:118</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ab8cf8f9fb6792e654c2d8d8382f6f01b"><div class="ttname"><a href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a></div><div class="ttdeci">int LayerBindingId</div><div class="ttdoc">Type of identifiers for bindable layers (inputs, outputs). </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00210">Types.hpp:210</a></div></div>
<div class="ttc" id="_numeric_cast_8hpp_xhtml"><div class="ttname"><a href="_numeric_cast_8hpp.xhtml">NumericCast.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantizer_strategy_xhtml_a5869ec621b21f4a3841a08db126d1527"><div class="ttname"><a href="classarmnn_1_1_quantizer_strategy.xhtml#a5869ec621b21f4a3841a08db126d1527">armnn::QuantizerStrategy::~QuantizerStrategy</a></div><div class="ttdeci">~QuantizerStrategy()=default</div></div>
<div class="ttc" id="classarmnn_1_1_quantizer_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_quantizer_strategy.xhtml">armnn::QuantizerStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantizer_strategy_8hpp_source.xhtml#l00015">QuantizerStrategy.hpp:15</a></div></div>
<div class="ttc" id="structarmnn_1_1_base_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a></div><div class="ttdoc">Base class for all descriptors. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00022">Descriptors.hpp:22</a></div></div>
<div class="ttc" id="_polymorphic_downcast_8hpp_xhtml"><div class="ttname"><a href="_polymorphic_downcast_8hpp.xhtml">PolymorphicDowncast.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_strategy_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_strategy.xhtml">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.xhtml#l00013">IStrategy.hpp:13</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantizer_strategy_xhtml_a7f9b9f65046b39e047e674ab5cd7a18f"><div class="ttname"><a href="classarmnn_1_1_quantizer_strategy.xhtml#a7f9b9f65046b39e047e674ab5cd7a18f">armnn::QuantizerStrategy::QuantizerStrategy</a></div><div class="ttdeci">QuantizerStrategy(const RangeTracker &amp;rangeTracker, const IQuantizationScheme *quantizationScheme, bool preserveType)</div><div class="ttdef"><b>Definition:</b> <a href="_quantizer_strategy_8cpp_source.xhtml#l00012">QuantizerStrategy.cpp:12</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#l00314">Tensor.hpp:314</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantizer_strategy_xhtml_ae25c71d0c8fceed87f0b84fc032f71c8"><div class="ttname"><a href="classarmnn_1_1_quantizer_strategy.xhtml#ae25c71d0c8fceed87f0b84fc032f71c8">armnn::QuantizerStrategy::RetrieveFinalNetwork</a></div><div class="ttdeci">INetworkPtr RetrieveFinalNetwork()</div><div class="ttdoc">Extract the quantized network. </div><div class="ttdef"><b>Definition:</b> <a href="_quantizer_strategy_8hpp_source.xhtml#l00031">QuantizerStrategy.hpp:31</a></div></div>
<div class="ttc" id="_static_range_strategy_8hpp_xhtml"><div class="ttname"><a href="_static_range_strategy_8hpp.xhtml">StaticRangeStrategy.hpp</a></div></div>
<div class="ttc" id="_network_8hpp_xhtml"><div class="ttname"><a href="_network_8hpp.xhtml">Network.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_i_quantization_scheme_xhtml"><div class="ttname"><a href="structarmnn_1_1_i_quantization_scheme.xhtml">armnn::IQuantizationScheme</a></div><div class="ttdef"><b>Definition:</b> <a href="_network_quantization_scheme_8hpp_source.xhtml#l00018">NetworkQuantizationScheme.hpp:18</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ace74f6f9feb95a964a49d79458232703"><div class="ttname"><a href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a></div><div class="ttdeci">std::unique_ptr&lt; INetwork, void(*)(INetwork *network)&gt; INetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00173">INetwork.hpp:173</a></div></div>
<div class="ttc" id="_network_quantizer_utils_8hpp_xhtml"><div class="ttname"><a href="_network_quantizer_utils_8hpp.xhtml">NetworkQuantizerUtils.hpp</a></div></div>
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