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<div class="title">INetworkQuantizer.hpp</div> </div>
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<a href="_i_network_quantizer_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> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_i_network_8hpp.xhtml">armnn/INetwork.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="preprocessor">#include <<a class="code" href="_types_8hpp.xhtml">armnn/Types.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_tensor_8hpp.xhtml">armnn/Tensor.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantizer_options.xhtml"> 15</a></span> <span class="keyword">struct </span><a class="code" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantizer_options.xhtml#acd7bc97eeb1033fa0ca4afd027ed3ebc"> 17</a></span>  <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#acd7bc97eeb1033fa0ca4afd027ed3ebc">QuantizerOptions</a>() : <a class="code" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>::<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">QAsymmU8</a>, <a class="code" href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>) {}</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantizer_options.xhtml#a0fe13ccdc4a8c0fa2779c7105128d4c4"> 19</a></span>  <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a0fe13ccdc4a8c0fa2779c7105128d4c4">QuantizerOptions</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> activationFormat) : <a class="code" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a>(activationFormat, <a class="code" href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>) {}</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantizer_options.xhtml#a8eace0584f536070a7cf28c44353af8a"> 21</a></span>  <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a8eace0584f536070a7cf28c44353af8a">QuantizerOptions</a>(<a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> activationFormat, <span class="keywordtype">bool</span> preserveType)</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  : <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a64fb6dc5a9d3fe72b8f63364a10774a7">m_ActivationFormat</a>(activationFormat)</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  , <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a5bc42c844726d5fe782741617a893f43">m_PreserveType</a>(preserveType) {}</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantizer_options.xhtml#a64fb6dc5a9d3fe72b8f63364a10774a7"> 25</a></span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a64fb6dc5a9d3fe72b8f63364a10774a7">m_ActivationFormat</a>;</div><div class="line"><a name="l00026"></a><span class="lineno"><a class="line" href="structarmnn_1_1_quantizer_options.xhtml#a5bc42c844726d5fe782741617a893f43"> 26</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a5bc42c844726d5fe782741617a893f43">m_PreserveType</a>;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> };</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="namespacearmnn.xhtml#a41119e261eec9343888d2ceab1e4999a"> 29</a></span> <span class="keyword">using</span> <a class="code" href="namespacearmnn.xhtml#a41119e261eec9343888d2ceab1e4999a">INetworkQuantizerPtr</a> = std::unique_ptr<class INetworkQuantizer, void(*)(INetworkQuantizer* quantizer)>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"></span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment">/// Quantizer class Quantizes a float32 InputNetwork</span></div><div class="line"><a name="l00032"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network_quantizer.xhtml"> 32</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_i_network_quantizer.xhtml">INetworkQuantizer</a></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"> /// Create Quantizer object and return raw pointer</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span> <span class="keyword">static</span> <a class="code" href="classarmnn_1_1_i_network_quantizer.xhtml">INetworkQuantizer</a>* CreateRaw(<a class="code" href="classarmnn_1_1_i_network.xhtml">INetwork</a>* inputNetwork, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a>& options = <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#acd7bc97eeb1033fa0ca4afd027ed3ebc">QuantizerOptions</a>());</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"></span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// Create Quantizer object wrapped in unique_ptr</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"></span> <span class="keyword">static</span> <a class="code" href="namespacearmnn.xhtml#a41119e261eec9343888d2ceab1e4999a">INetworkQuantizerPtr</a> Create(<a class="code" href="classarmnn_1_1_i_network.xhtml">INetwork</a>* inputNetwork, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a>& options = <a class="code" href="structarmnn_1_1_quantizer_options.xhtml#acd7bc97eeb1033fa0ca4afd027ed3ebc">QuantizerOptions</a>());</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"></span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> /// Destroy Quantizer object</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="comment"></span> <span class="keyword">static</span> <span class="keywordtype">void</span> Destroy(<a class="code" href="classarmnn_1_1_i_network_quantizer.xhtml">INetworkQuantizer</a>* quantizer);</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /// Overrides the default quantization values for the input layer with the given id</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> OverrideInputRange(<a class="code" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId, <span class="keywordtype">float</span> min, <span class="keywordtype">float</span> max) = 0;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"></span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> /// Refine input network with a set of refinement data for specified LayerBindingId</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"></span> <span class="keyword">virtual</span> <span class="keywordtype">void</span> Refine(<span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a>& inputTensors) = 0;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"></span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> /// Extract final quantized network</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"></span> <span class="keyword">virtual</span> <a class="code" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> ExportNetwork() = 0;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="keyword">protected</span>:</div><div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarmnn_1_1_i_network_quantizer.xhtml#a6b376fc4dcd2e2b3f5c1125a9c460a12"> 54</a></span>  <span class="keyword">virtual</span> <a class="code" href="classarmnn_1_1_i_network_quantizer.xhtml#a6b376fc4dcd2e2b3f5c1125a9c460a12">~INetworkQuantizer</a>() {}</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> };</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> } <span class="comment">//namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_quantizer_options_xhtml_a64fb6dc5a9d3fe72b8f63364a10774a7"><div class="ttname"><a href="structarmnn_1_1_quantizer_options.xhtml#a64fb6dc5a9d3fe72b8f63364a10774a7">armnn::QuantizerOptions::m_ActivationFormat</a></div><div class="ttdeci">DataType m_ActivationFormat</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00025">INetworkQuantizer.hpp:25</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="structarmnn_1_1_quantizer_options_xhtml_acd7bc97eeb1033fa0ca4afd027ed3ebc"><div class="ttname"><a href="structarmnn_1_1_quantizer_options.xhtml#acd7bc97eeb1033fa0ca4afd027ed3ebc">armnn::QuantizerOptions::QuantizerOptions</a></div><div class="ttdeci">QuantizerOptions()</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00017">INetworkQuantizer.hpp:17</a></div></div>
<div class="ttc" id="_cl_layer_tests_8cpp_xhtml_a2289f9e7fac0ce47801448e873b04303"><div class="ttname"><a href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a></div><div class="ttdeci">DataLayout::NCHW false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.xhtml#l00135">ClLayerTests.cpp:135</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a41119e261eec9343888d2ceab1e4999a"><div class="ttname"><a href="namespacearmnn.xhtml#a41119e261eec9343888d2ceab1e4999a">armnn::INetworkQuantizerPtr</a></div><div class="ttdeci">std::unique_ptr< class INetworkQuantizer, void(*)(INetworkQuantizer *quantizer)> INetworkQuantizerPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00029">INetworkQuantizer.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml">armnn::INetwork</a></div><div class="ttdoc">Main network class which provides the interface for building up a neural network. ...</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00178">INetwork.hpp:178</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00340">Tensor.hpp:340</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantizer_options_xhtml_a0fe13ccdc4a8c0fa2779c7105128d4c4"><div class="ttname"><a href="structarmnn_1_1_quantizer_options.xhtml#a0fe13ccdc4a8c0fa2779c7105128d4c4">armnn::QuantizerOptions::QuantizerOptions</a></div><div class="ttdeci">QuantizerOptions(DataType activationFormat)</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00019">INetworkQuantizer.hpp:19</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantizer_options_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantizer_options.xhtml">armnn::QuantizerOptions</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00015">INetworkQuantizer.hpp:15</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="structarmnn_1_1_quantizer_options_xhtml_a8eace0584f536070a7cf28c44353af8a"><div class="ttname"><a href="structarmnn_1_1_quantizer_options.xhtml#a8eace0584f536070a7cf28c44353af8a">armnn::QuantizerOptions::QuantizerOptions</a></div><div class="ttdeci">QuantizerOptions(DataType activationFormat, bool preserveType)</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00021">INetworkQuantizer.hpp:21</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div>
<div class="ttc" id="_types_8hpp_xhtml"><div class="ttname"><a href="_types_8hpp.xhtml">Types.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_quantizer_xhtml_a6b376fc4dcd2e2b3f5c1125a9c460a12"><div class="ttname"><a href="classarmnn_1_1_i_network_quantizer.xhtml#a6b376fc4dcd2e2b3f5c1125a9c460a12">armnn::INetworkQuantizer::~INetworkQuantizer</a></div><div class="ttdeci">virtual ~INetworkQuantizer()</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00054">INetworkQuantizer.hpp:54</a></div></div>
<div class="ttc" id="_i_network_8hpp_xhtml"><div class="ttname"><a href="_i_network_8hpp.xhtml">INetwork.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_quantizer_options_xhtml_a5bc42c844726d5fe782741617a893f43"><div class="ttname"><a href="structarmnn_1_1_quantizer_options.xhtml#a5bc42c844726d5fe782741617a893f43">armnn::QuantizerOptions::m_PreserveType</a></div><div class="ttdeci">bool m_PreserveType</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00026">INetworkQuantizer.hpp:26</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< INetwork, void(*)(INetwork *network)> 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="classarmnn_1_1_i_network_quantizer_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_network_quantizer.xhtml">armnn::INetworkQuantizer</a></div><div class="ttdoc">Quantizer class Quantizes a float32 InputNetwork. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_quantizer_8hpp_source.xhtml#l00032">INetworkQuantizer.hpp:32</a></div></div>
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