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<a href="#pub-methods">Public Member Functions</a> |
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<div class="title">NetworkQuantizer Class Reference</div> </div>
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<p><code>#include <<a class="el" href="_network_quantizer_8hpp_source.xhtml">NetworkQuantizer.hpp</a>></code></p>
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Inheritance diagram for NetworkQuantizer:</div>
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<img src="classarmnn_1_1_network_quantizer.png" usemap="#NetworkQuantizer_map" alt=""/>
<map id="NetworkQuantizer_map" name="NetworkQuantizer_map">
<area href="classarmnn_1_1_i_network_quantizer.xhtml" title="Quantizer class Quantizes a float32 InputNetwork. " alt="INetworkQuantizer" shape="rect" coords="0,0,116,24"/>
</map>
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<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:ad1d6bb17a39fec4850c40eadf5f537a4"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_network_quantizer.xhtml#ad1d6bb17a39fec4850c40eadf5f537a4">NetworkQuantizer</a> (<a class="el" href="classarmnn_1_1_i_network.xhtml">INetwork</a> *inputNetwork, const <a class="el" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a> &options)</td></tr>
<tr class="separator:ad1d6bb17a39fec4850c40eadf5f537a4"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a0de9803a30020e30ec8c9c0ba8592dc6"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_network_quantizer.xhtml#a0de9803a30020e30ec8c9c0ba8592dc6">OverrideInputRange</a> (<a class="el" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">LayerBindingId</a> layerId, float min, float max) override</td></tr>
<tr class="memdesc:a0de9803a30020e30ec8c9c0ba8592dc6"><td class="mdescLeft"> </td><td class="mdescRight">Overrides the default quantization values for the input layer with the given id. <a href="#a0de9803a30020e30ec8c9c0ba8592dc6">More...</a><br /></td></tr>
<tr class="separator:a0de9803a30020e30ec8c9c0ba8592dc6"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:acff529f0d8ffed99123e3a729942be12"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_network_quantizer.xhtml#acff529f0d8ffed99123e3a729942be12">Refine</a> (const <a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> &inputTensors) override</td></tr>
<tr class="memdesc:acff529f0d8ffed99123e3a729942be12"><td class="mdescLeft"> </td><td class="mdescRight">Refine input network with a set of refinement data for specified LayerBindingId. <a href="#acff529f0d8ffed99123e3a729942be12">More...</a><br /></td></tr>
<tr class="separator:acff529f0d8ffed99123e3a729942be12"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a3618dd686c52c451000bea3e20931ac8"><td class="memItemLeft" align="right" valign="top">std::pair< float, float > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_network_quantizer.xhtml#a3618dd686c52c451000bea3e20931ac8">GetMinMaxRange</a> (<a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> guid, unsigned int idx)</td></tr>
<tr class="separator:a3618dd686c52c451000bea3e20931ac8"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a8768a9dd173e985bfc0c72338662d631"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_network_quantizer.xhtml#a8768a9dd173e985bfc0c72338662d631">ExportNetwork</a> () override</td></tr>
<tr class="memdesc:a8768a9dd173e985bfc0c72338662d631"><td class="mdescLeft"> </td><td class="mdescRight">Extract final quantized network. <a href="#a8768a9dd173e985bfc0c72338662d631">More...</a><br /></td></tr>
<tr class="separator:a8768a9dd173e985bfc0c72338662d631"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
Additional Inherited Members</h2></td></tr>
<tr class="inherit_header pub_static_methods_classarmnn_1_1_i_network_quantizer"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarmnn_1_1_i_network_quantizer')"><img src="closed.png" alt="-"/> Static Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml">INetworkQuantizer</a></td></tr>
<tr class="memitem:ab8c40aedacd27ec921e53f3a022e6a63 inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml">INetworkQuantizer</a> * </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml#ab8c40aedacd27ec921e53f3a022e6a63">CreateRaw</a> (<a class="el" href="classarmnn_1_1_i_network.xhtml">INetwork</a> *inputNetwork, const <a class="el" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a> &options=<a class="el" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a>())</td></tr>
<tr class="memdesc:ab8c40aedacd27ec921e53f3a022e6a63 inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="mdescLeft"> </td><td class="mdescRight">Create Quantizer object and return raw pointer. <a href="classarmnn_1_1_i_network_quantizer.xhtml#ab8c40aedacd27ec921e53f3a022e6a63">More...</a><br /></td></tr>
<tr class="separator:ab8c40aedacd27ec921e53f3a022e6a63 inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a3a4d01d9351c02a703740290f226441f inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="namespacearmnn.xhtml#a41119e261eec9343888d2ceab1e4999a">INetworkQuantizerPtr</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml#a3a4d01d9351c02a703740290f226441f">Create</a> (<a class="el" href="classarmnn_1_1_i_network.xhtml">INetwork</a> *inputNetwork, const <a class="el" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a> &options=<a class="el" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a>())</td></tr>
<tr class="memdesc:a3a4d01d9351c02a703740290f226441f inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="mdescLeft"> </td><td class="mdescRight">Create Quantizer object wrapped in unique_ptr. <a href="classarmnn_1_1_i_network_quantizer.xhtml#a3a4d01d9351c02a703740290f226441f">More...</a><br /></td></tr>
<tr class="separator:a3a4d01d9351c02a703740290f226441f inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ad1ad5b83dc4d8bed64c29adf21c8958a inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="memItemLeft" align="right" valign="top">static void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml#ad1ad5b83dc4d8bed64c29adf21c8958a">Destroy</a> (<a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml">INetworkQuantizer</a> *quantizer)</td></tr>
<tr class="memdesc:ad1ad5b83dc4d8bed64c29adf21c8958a inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="mdescLeft"> </td><td class="mdescRight">Destroy Quantizer object. <a href="classarmnn_1_1_i_network_quantizer.xhtml#ad1ad5b83dc4d8bed64c29adf21c8958a">More...</a><br /></td></tr>
<tr class="separator:ad1ad5b83dc4d8bed64c29adf21c8958a inherit pub_static_methods_classarmnn_1_1_i_network_quantizer"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="inherit_header pro_methods_classarmnn_1_1_i_network_quantizer"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_network_quantizer')"><img src="closed.png" alt="-"/> Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml">INetworkQuantizer</a></td></tr>
<tr class="memitem:a6b376fc4dcd2e2b3f5c1125a9c460a12 inherit pro_methods_classarmnn_1_1_i_network_quantizer"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml#a6b376fc4dcd2e2b3f5c1125a9c460a12">~INetworkQuantizer</a> ()</td></tr>
<tr class="separator:a6b376fc4dcd2e2b3f5c1125a9c460a12 inherit pro_methods_classarmnn_1_1_i_network_quantizer"><td class="memSeparator" colspan="2"> </td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock">
<p class="definition">Definition at line <a class="el" href="_network_quantizer_8hpp_source.xhtml#l00020">20</a> of file <a class="el" href="_network_quantizer_8hpp_source.xhtml">NetworkQuantizer.hpp</a>.</p>
</div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
<a id="ad1d6bb17a39fec4850c40eadf5f537a4"></a>
<h2 class="memtitle"><span class="permalink"><a href="#ad1d6bb17a39fec4850c40eadf5f537a4">◆ </a></span>NetworkQuantizer()</h2>
<div class="memitem">
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<td class="memname"><a class="el" href="classarmnn_1_1_network_quantizer.xhtml">NetworkQuantizer</a> </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_network.xhtml">INetwork</a> * </td>
<td class="paramname"><em>inputNetwork</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="structarmnn_1_1_quantizer_options.xhtml">QuantizerOptions</a> & </td>
<td class="paramname"><em>options</em> </td>
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<td>)</td>
<td></td><td></td>
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<p class="definition">Definition at line <a class="el" href="_network_quantizer_8hpp_source.xhtml#l00023">23</a> of file <a class="el" href="_network_quantizer_8hpp_source.xhtml">NetworkQuantizer.hpp</a>.</p>
<p class="reference">References <a class="el" href="_network_quantizer_8cpp_source.xhtml#l00051">NetworkQuantizer::OverrideInputRange()</a>, and <a class="el" href="_network_quantizer_8cpp_source.xhtml#l00061">NetworkQuantizer::Refine()</a>.</p>
<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  : m_InputNetwork(inputNetwork),</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  m_NetworkId(0),</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  m_Runtime(<span class="keyword">nullptr</span>, &<a class="code" href="classarmnn_1_1_i_runtime.xhtml#a978f3d0d34a944b40240bd130d61e3b6">IRuntime::Destroy</a>),</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  m_RefineCount(0),</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  m_Options(options) {}</div><div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_a978f3d0d34a944b40240bd130d61e3b6"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#a978f3d0d34a944b40240bd130d61e3b6">armnn::IRuntime::Destroy</a></div><div class="ttdeci">static void Destroy(IRuntime *runtime)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00042">Runtime.cpp:42</a></div></div>
</div><!-- fragment -->
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<h2 class="groupheader">Member Function Documentation</h2>
<a id="a8768a9dd173e985bfc0c72338662d631"></a>
<h2 class="memtitle"><span class="permalink"><a href="#a8768a9dd173e985bfc0c72338662d631">◆ </a></span>ExportNetwork()</h2>
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<td class="memname"><a class="el" href="namespacearmnn.xhtml#ace74f6f9feb95a964a49d79458232703">INetworkPtr</a> ExportNetwork </td>
<td>(</td>
<td class="paramname"></td><td>)</td>
<td></td>
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<span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
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<p>Extract final quantized network. </p>
<p>Implements <a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml#a2c24535b51018853e67bad277f4cbbeb">INetworkQuantizer</a>.</p>
<p class="definition">Definition at line <a class="el" href="_network_quantizer_8cpp_source.xhtml#l00137">137</a> of file <a class="el" href="_network_quantizer_8cpp_source.xhtml">NetworkQuantizer.cpp</a>.</p>
<p class="reference">References <a class="el" href="_network_quantizer_utils_8hpp_source.xhtml#l00061">armnn::ApplyStrategyToLayers()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, and <a class="el" href="_graph_8hpp_source.xhtml#l00177">Graph::TopologicalSort()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_network_quantizer_8hpp_source.xhtml#l00034">NetworkQuantizer::GetMinMaxRange()</a>.</p>
<div class="fragment"><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keyword">const</span> Graph& graph = m_InputNetwork-><a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->GetGraph().TopologicalSort();</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="comment">// Step 1) Walk the graph and populate default min/max values for</span></div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="comment">// intermediate tensors, only if Runtime does not exist (created</span></div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="comment">// if Refine has been called)</span></div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">if</span> (!m_Runtime)</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  {</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  m_Ranges.<a class="code" href="classarmnn_1_1_range_tracker.xhtml#ad083f83ce01c5a1e16da1236442e2169">SetDynamicMode</a>(<span class="keyword">false</span>);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  StaticRangeStrategy rangeStrategy(m_Ranges);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="namespacearmnn.xhtml#a929027fc5caf6a6e20d3b9ac6fcd128b">ApplyStrategyToLayers</a>(graph, rangeStrategy);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  }</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="comment">// Set min/max range of non-calibrated layers to parent layer's range</span></div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  m_DynamicQuantizationStrategy.value().VisitNonCalibratedLayers();</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// now tear down the runtime and the dynamic visitor.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  m_Runtime.reset(<span class="keyword">nullptr</span>);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  m_DynamicQuantizationStrategy = EmptyOptional();</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  m_RefineCount = 0;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="comment">// Step 2) Convert input InputNetwork to Quantized InputNetwork</span></div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  std::unique_ptr<IQuantizationScheme> quantizationScheme;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">switch</span> (m_Options.<a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a64fb6dc5a9d3fe72b8f63364a10774a7">m_ActivationFormat</a>)</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>:</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  quantizationScheme = std::make_unique<QAsymmU8QuantizationScheme>();</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>:</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  quantizationScheme = std::make_unique<QAsymmS8QuantizationScheme>();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  quantizationScheme = std::make_unique<QSymmS8QuantizationScheme>();</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>:</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  quantizationScheme = std::make_unique<QSymm16QuantizationScheme>();</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Unsupported quantization target"</span>);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  }</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  QuantizerStrategy quantizerVisitor(m_Ranges, quantizationScheme.get(), m_Options.<a class="code" href="structarmnn_1_1_quantizer_options.xhtml#a5bc42c844726d5fe782741617a893f43">m_PreserveType</a>);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="namespacearmnn.xhtml#a929027fc5caf6a6e20d3b9ac6fcd128b">ApplyStrategyToLayers</a>(graph, quantizerVisitor);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">// clear the ranges</span></div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  m_Ranges.<a class="code" href="classarmnn_1_1_range_tracker.xhtml#a372de693ad40b3f42839c8ec6ac845f4">Reset</a>();</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> </div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="keywordflow">return</span> quantizerVisitor.RetrieveFinalNetwork();</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</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="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a4353fa80ece13e3b1664881c27f5a67c"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">armnn::INetwork::pNetworkImpl</a></div><div class="ttdeci">std::unique_ptr< NetworkImpl > pNetworkImpl</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00693">INetwork.hpp:693</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a929027fc5caf6a6e20d3b9ac6fcd128b"><div class="ttname"><a href="namespacearmnn.xhtml#a929027fc5caf6a6e20d3b9ac6fcd128b">armnn::ApplyStrategyToLayers</a></div><div class="ttdeci">void ApplyStrategyToLayers(const LayerContainer &layerContainer, IStrategy &strategy)</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_utils_8hpp_source.xhtml#l00061">NetworkQuantizerUtils.hpp:61</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="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="classarmnn_1_1_range_tracker_xhtml_ad083f83ce01c5a1e16da1236442e2169"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#ad083f83ce01c5a1e16da1236442e2169">armnn::RangeTracker::SetDynamicMode</a></div><div class="ttdeci">void SetDynamicMode(bool flag)</div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8hpp_source.xhtml#l00045">RangeTracker.hpp:45</a></div></div>
<div class="ttc" id="classarmnn_1_1_range_tracker_xhtml_a372de693ad40b3f42839c8ec6ac845f4"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#a372de693ad40b3f42839c8ec6ac845f4">armnn::RangeTracker::Reset</a></div><div class="ttdeci">void Reset()</div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8cpp_source.xhtml#l00074">RangeTracker.cpp:74</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a3618dd686c52c451000bea3e20931ac8">◆ </a></span>GetMinMaxRange()</h2>
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<td class="memname">std::pair<float, float> GetMinMaxRange </td>
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<td class="paramtype"><a class="el" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> </td>
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<p class="definition">Definition at line <a class="el" href="_network_quantizer_8hpp_source.xhtml#l00034">34</a> of file <a class="el" href="_network_quantizer_8hpp_source.xhtml">NetworkQuantizer.hpp</a>.</p>
<p class="reference">References <a class="el" href="_network_quantizer_8cpp_source.xhtml#l00137">NetworkQuantizer::ExportNetwork()</a>, and <a class="el" href="_range_tracker_8cpp_source.xhtml#l00029">RangeTracker::GetRange()</a>.</p>
<div class="fragment"><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> { <span class="keywordflow">return</span> m_Ranges.<a class="code" href="classarmnn_1_1_range_tracker.xhtml#a507bae23f59e94b4161886ebe663cdf4">GetRange</a>(guid, idx); }</div><div class="ttc" id="classarmnn_1_1_range_tracker_xhtml_a507bae23f59e94b4161886ebe663cdf4"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#a507bae23f59e94b4161886ebe663cdf4">armnn::RangeTracker::GetRange</a></div><div class="ttdeci">MinMaxRange GetRange(LayerGuid guid, unsigned int idx) const</div><div class="ttdoc">Retrieve the Range for a particular output slot on a particular layer. </div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8cpp_source.xhtml#l00029">RangeTracker.cpp:29</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a0de9803a30020e30ec8c9c0ba8592dc6">◆ </a></span>OverrideInputRange()</h2>
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<td class="memname">void OverrideInputRange </td>
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<p>Overrides the default quantization values for the input layer with the given id. </p>
<p>Implements <a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml#a0ec2c346796d52e923cca0477497a6d0">INetworkQuantizer</a>.</p>
<p class="definition">Definition at line <a class="el" href="_network_quantizer_8cpp_source.xhtml#l00051">51</a> of file <a class="el" href="_network_quantizer_8cpp_source.xhtml">NetworkQuantizer.cpp</a>.</p>
<p class="reference">References <a class="el" href="_graph_8hpp_source.xhtml#l00185">Graph::GetInputLayers()</a>, and <a class="el" href="_network_quantizer_utils_8hpp_source.xhtml#l00050">armnn::VisitLayers()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_network_quantizer_8hpp_source.xhtml#l00023">NetworkQuantizer::NetworkQuantizer()</a>.</p>
<div class="fragment"><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">const</span> Graph& graph = m_InputNetwork-><a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->GetGraph();</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keyword">auto</span> inputLayers = graph.GetInputLayers();</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>  <span class="comment">// Walk the input layers of the graph and override the quantization parameters of the one with the given id</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  OverrideInputRangeVisitor overrideInputRangeVisitor(m_Ranges, layerId, <a class="code" href="classarmnn_1_1_range_tracker.xhtml#a997e96288bdb106c922202e3f33d5d7b">RangeTracker::MinMaxRange</a>{min, max});</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespacearmnn.xhtml#a9835ef753dda5b5a2fe827680e41fda7">VisitLayers</a>(inputLayers, overrideInputRangeVisitor);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> }</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 &layerContainer, ILayerVisitor &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="classarmnn_1_1_range_tracker_xhtml_a997e96288bdb106c922202e3f33d5d7b"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#a997e96288bdb106c922202e3f33d5d7b">armnn::RangeTracker::MinMaxRange</a></div><div class="ttdeci">std::pair< float, float > MinMaxRange</div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8hpp_source.xhtml#l00020">RangeTracker.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a4353fa80ece13e3b1664881c27f5a67c"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">armnn::INetwork::pNetworkImpl</a></div><div class="ttdeci">std::unique_ptr< NetworkImpl > pNetworkImpl</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00693">INetwork.hpp:693</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#acff529f0d8ffed99123e3a729942be12">◆ </a></span>Refine()</h2>
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<td class="memname">void Refine </td>
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<p>Refine input network with a set of refinement data for specified LayerBindingId. </p>
<p>Implements <a class="el" href="classarmnn_1_1_i_network_quantizer.xhtml#ae7708b89714c5a85d62e07f674ab9da4">INetworkQuantizer</a>.</p>
<p class="definition">Definition at line <a class="el" href="_network_quantizer_8cpp_source.xhtml#l00061">61</a> of file <a class="el" href="_network_quantizer_8cpp_source.xhtml">NetworkQuantizer.cpp</a>.</p>
<p class="reference">References <a class="el" href="_network_quantizer_utils_8hpp_source.xhtml#l00061">armnn::ApplyStrategyToLayers()</a>, <a class="el" href="_runtime_8cpp_source.xhtml#l00037">IRuntime::Create()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00058">armnnUtils::FindMinMax()</a>, <a class="el" href="_network_8cpp_source.xhtml#l01502">armnn::Optimize()</a>, and <a class="el" href="_graph_8hpp_source.xhtml#l00177">Graph::TopologicalSort()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_network_quantizer_8hpp_source.xhtml#l00023">NetworkQuantizer::NetworkQuantizer()</a>.</p>
<div class="fragment"><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="comment">// The first time Refine is called the m_Runtime and the DynamicQuantizationStrategy</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="comment">// will not have been created. Need to get the environment set up, Runtime loaded,</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="comment">// DynamicQuantizationStrategy created and run over the network to initialise itself</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// and the RangeTracker the Debug callback registered and an initial inference</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="comment">// done to set up the first min/max values</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">if</span> (!m_Runtime)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  m_RefineCount = 0;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  m_Ranges.<a class="code" href="classarmnn_1_1_range_tracker.xhtml#ad083f83ce01c5a1e16da1236442e2169">SetDynamicMode</a>(<span class="keyword">true</span>);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> Graph& cGraph = m_InputNetwork-><a class="code" href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">pNetworkImpl</a>->GetGraph().TopologicalSort();</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="comment">// need to insert Debug layers in the DynamicQuantizationStrategy</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  Graph& graph = <span class="keyword">const_cast<</span>Graph&<span class="keyword">></span>(cGraph);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="comment">// Initialize RangeTracker to the default values for each layer.</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="comment">// The default values are overwritten by the min/max that is</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="comment">// recorded during the first dataset min/max calibration. This</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="comment">// initialisation is only required for the first call of Refine().</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  m_DynamicQuantizationStrategy = DynamicQuantizationStrategy(m_Ranges, graph);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespacearmnn.xhtml#a929027fc5caf6a6e20d3b9ac6fcd128b">ApplyStrategyToLayers</a>(cGraph, m_DynamicQuantizationStrategy.value());</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  IRuntime::CreationOptions options;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  m_Runtime = <a class="code" href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">IRuntime::Create</a>(options);</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// Optimize network - debug already enabled for layers that require quantization</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  OptimizerOptions optimizerOptions(<span class="keyword">false</span>, <span class="keyword">false</span>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  std::vector<BackendId> backends = {<span class="stringliteral">"CpuRef"</span>};</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> optimizedNet = <a class="code" href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*m_InputNetwork,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  backends,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  m_Runtime->GetDeviceSpec(),</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  optimizerOptions);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  m_Runtime->LoadNetwork(m_NetworkId, std::move(optimizedNet));</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// Debug callback function to refine min/max in RangeTracker</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keyword">auto</span> rangeTrackerCallback = [&](<a class="code" href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">LayerGuid</a> guid, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slotIndex, ITensorHandle *tensorHandle) {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// Get min/max pair from tensor data</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::pair<float, float> minMax = <a class="code" href="namespacearmnn_utils.xhtml#a1c9097ab13afc54b48c503c6487aaee1">armnnUtils::FindMinMax</a>(tensorHandle);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// For first calibration dataset, set min/max range in RangeTracker to</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// min/max ranges gathered during inference</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">if</span> (m_RefineCount == 0)</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  m_Ranges.<a class="code" href="classarmnn_1_1_range_tracker.xhtml#a4618337ffe8a3a2b5a6abf475454acdd">ResetMinMax</a>(guid, slotIndex, minMax.first, minMax.second);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="comment">// For every other calibration dataset, only set min/max range if the</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="comment">// values gathered are less than / greater than originally recorded.</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  m_Ranges.<a class="code" href="classarmnn_1_1_range_tracker.xhtml#aa55e27d7cc1569b82476e6b30cbd6c25">RefineMin</a>(guid, slotIndex, minMax.first);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  m_Ranges.<a class="code" href="classarmnn_1_1_range_tracker.xhtml#ae5a4c3257000f8a0b7392a0104775894">RefineMax</a>(guid, slotIndex, minMax.second);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  }</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  };</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  m_Runtime->RegisterDebugCallback(m_NetworkId, rangeTrackerCallback);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Create output tensor for EnqueueWorkload</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  std::vector<armnn::BindingPointInfo> outputBindings;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">auto</span> outputLayers = m_DynamicQuantizationStrategy.value().GetOutputLayers();</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  std::vector<TContainer> outputVectors;</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> outputLayerBindingId : outputLayers)</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">auto</span> outputTensorInfo = m_Runtime->GetOutputTensorInfo(m_NetworkId, outputLayerBindingId);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  outputBindings.push_back(std::make_pair(outputLayerBindingId, outputTensorInfo));</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  outputVectors.push_back(std::vector<float>(outputTensorInfo.GetNumElements(), 0));</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> outputTensors = armnnUtils::MakeOutputTensors<TContainer>(outputBindings, outputVectors);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="comment">// Execute EnqueueWorkload with calibration image</span></div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  m_Runtime->EnqueueWorkload(m_NetworkId, inputTensors, outputTensors);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  ++m_RefineCount;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> }</div><div class="ttc" id="classarmnn_1_1_i_runtime_xhtml_ad44ecd3700748dc30dc4bbe34ba5bde7"><div class="ttname"><a href="classarmnn_1_1_i_runtime.xhtml#ad44ecd3700748dc30dc4bbe34ba5bde7">armnn::IRuntime::Create</a></div><div class="ttdeci">static IRuntimePtr Create(const CreationOptions &options)</div><div class="ttdef"><b>Definition:</b> <a href="_runtime_8cpp_source.xhtml#l00037">Runtime.cpp:37</a></div></div>
<div class="ttc" id="classarmnn_1_1_range_tracker_xhtml_a4618337ffe8a3a2b5a6abf475454acdd"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#a4618337ffe8a3a2b5a6abf475454acdd">armnn::RangeTracker::ResetMinMax</a></div><div class="ttdeci">void ResetMinMax(LayerGuid guid, unsigned int idx, float newMin, float newMax)</div><div class="ttdoc">Overwrite min and max in RangeTracker with newMin and newMax. </div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8cpp_source.xhtml#l00064">RangeTracker.cpp:64</a></div></div>
<div class="ttc" id="classarmnn_1_1_range_tracker_xhtml_ae5a4c3257000f8a0b7392a0104775894"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#ae5a4c3257000f8a0b7392a0104775894">armnn::RangeTracker::RefineMax</a></div><div class="ttdeci">void RefineMax(LayerGuid guid, unsigned int slotIndex, float newMax)</div><div class="ttdoc">Update max in RangeTracker with new_max if it is greater than current value. </div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8cpp_source.xhtml#l00055">RangeTracker.cpp:55</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_network_xhtml_a4353fa80ece13e3b1664881c27f5a67c"><div class="ttname"><a href="classarmnn_1_1_i_network.xhtml#a4353fa80ece13e3b1664881c27f5a67c">armnn::INetwork::pNetworkImpl</a></div><div class="ttdeci">std::unique_ptr< NetworkImpl > pNetworkImpl</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00693">INetwork.hpp:693</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.xhtml#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdoc">Create an optimized version of the network. </div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.xhtml#l01502">Network.cpp:1502</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a929027fc5caf6a6e20d3b9ac6fcd128b"><div class="ttname"><a href="namespacearmnn.xhtml#a929027fc5caf6a6e20d3b9ac6fcd128b">armnn::ApplyStrategyToLayers</a></div><div class="ttdeci">void ApplyStrategyToLayers(const LayerContainer &layerContainer, IStrategy &strategy)</div><div class="ttdef"><b>Definition:</b> <a href="_network_quantizer_utils_8hpp_source.xhtml#l00061">NetworkQuantizerUtils.hpp:61</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00341">Tensor.hpp:341</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a674efcf6cbdb9e831d653ff0e821fb38"><div class="ttname"><a href="namespacearmnn.xhtml#a674efcf6cbdb9e831d653ff0e821fb38">armnn::IOptimizedNetworkPtr</a></div><div class="ttdeci">std::unique_ptr< IOptimizedNetwork, void(*)(IOptimizedNetwork *network)> IOptimizedNetworkPtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00174">INetwork.hpp:174</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a1c9097ab13afc54b48c503c6487aaee1"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a1c9097ab13afc54b48c503c6487aaee1">armnnUtils::FindMinMax</a></div><div class="ttdeci">std::pair< float, float > FindMinMax(armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.xhtml#l00058">TensorUtils.cpp:58</a></div></div>
<div class="ttc" id="classarmnn_1_1_range_tracker_xhtml_ad083f83ce01c5a1e16da1236442e2169"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#ad083f83ce01c5a1e16da1236442e2169">armnn::RangeTracker::SetDynamicMode</a></div><div class="ttdeci">void SetDynamicMode(bool flag)</div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8hpp_source.xhtml#l00045">RangeTracker.hpp:45</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_afad4088a9a058114ee5f87246f87bf49"><div class="ttname"><a href="namespacearmnn.xhtml#afad4088a9a058114ee5f87246f87bf49">armnn::LayerGuid</a></div><div class="ttdeci">profiling::ProfilingGuid LayerGuid</div><div class="ttdoc">Define LayerGuid type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00275">Types.hpp:275</a></div></div>
<div class="ttc" id="classarmnn_1_1_range_tracker_xhtml_aa55e27d7cc1569b82476e6b30cbd6c25"><div class="ttname"><a href="classarmnn_1_1_range_tracker.xhtml#aa55e27d7cc1569b82476e6b30cbd6c25">armnn::RangeTracker::RefineMin</a></div><div class="ttdeci">void RefineMin(LayerGuid guid, unsigned int slotIndex, float newMin)</div><div class="ttdoc">Update min in RangeTracker with new_min if it is lower than current value. </div><div class="ttdef"><b>Definition:</b> <a href="_range_tracker_8cpp_source.xhtml#l00046">RangeTracker.cpp:46</a></div></div>
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<li>src/armnn/<a class="el" href="_network_quantizer_8cpp_source.xhtml">NetworkQuantizer.cpp</a></li>
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