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<div class="title">QuantizeLayer.cpp</div> </div>
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<a href="_quantize_layer_8cpp.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 and Contributors. 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">#include "<a class="code" href="_quantize_layer_8hpp.xhtml">QuantizeLayer.hpp</a>"</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="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_i_layer_visitor_8hpp.xhtml">armnn/ILayerVisitor.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="classarmnn_1_1_quantize_layer.xhtml#a61ce4b923b328be6a87824e50f08a9c4"> 15</a></span> <a class="code" href="classarmnn_1_1_quantize_layer.xhtml#a61ce4b923b328be6a87824e50f08a9c4">QuantizeLayer::QuantizeLayer</a>(<span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> : <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>(1, 1, <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>, name)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> {}</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="classarmnn_1_1_quantize_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7"> 19</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_quantize_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">QuantizeLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword"></span>{</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <a class="code" href="structarmnn_1_1_quantize_queue_descriptor.xhtml">QuantizeQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = <a class="code" href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a1942c254ba89d17803e5a636aa927d90">CreateQuantize</a>(descriptor, info);</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="classarmnn_1_1_quantize_layer.xhtml#ab5045fc8d66572ecba03096ced51a994"> 29</a></span> <a class="code" href="classarmnn_1_1_layer.xhtml">Layer</a>* <a class="code" href="classarmnn_1_1_quantize_layer.xhtml#ab5045fc8d66572ecba03096ced51a994">QuantizeLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph)<span class="keyword"> const</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword"></span>{</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="classarmnn_1_1_quantize_layer.xhtml">QuantizeLayer</a>* clone = CloneBase<QuantizeLayer>(graph, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> clone;</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> </div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantize_layer.xhtml#a8c8f543d7e9729362c266d12ec169966"> 35</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantize_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">QuantizeLayer::ValidateTensorShapesFromInputs</a>()</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>& outputShape = <a class="code" href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({ <a class="code" href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"QuantizeLayer"</span>);</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> }</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_quantize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85"> 48</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_quantize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">QuantizeLayer::Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>& visitor)<span class="keyword"> const</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="keyword"></span>{</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  visitor.<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml#a78ec371d5935104926bca5c5febf6780">VisitQuantizeLayer</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> }</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="comment">//namespace armnn</span></div><div class="ttc" id="structarmnn_1_1_quantize_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_quantize_queue_descriptor.xhtml">armnn::QuantizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00281">WorkloadData.hpp:281</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdoc">Infer the shape of the output(s) based on the provided input shape(s) </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00367">Layer.cpp:367</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantize_layer_xhtml_a75a50f464326fefa605ea84ae2c9be85"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">armnn::QuantizeLayer::Accept</a></div><div class="ttdeci">void Accept(ILayerVisitor &visitor) const override</div><div class="ttdoc">Apply a visitor to this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8cpp_source.xhtml#l00048">QuantizeLayer.cpp:48</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_layer_visitor_xhtml_a78ec371d5935104926bca5c5febf6780"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.xhtml#a78ec371d5935104926bca5c5febf6780">armnn::ILayerVisitor::VisitQuantizeLayer</a></div><div class="ttdeci">virtual void VisitQuantizeLayer(const IConnectableLayer *layer, const char *name=nullptr)=0</div><div class="ttdoc">Function a quantize layer should call back to when its Accept(ILayerVisitor&) function is invoked...</div></div>
<div class="ttc" id="classarmnn_1_1_quantize_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::QuantizeLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8cpp_source.xhtml#l00019">QuantizeLayer.cpp:19</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a448afc716fda85394df1e8e5b7d530e8">armnn::Layer::VerifyShapeInferenceType</a></div><div class="ttdeci">void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00432">Layer.cpp:432</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_input_slot_xhtml_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.xhtml#a3153abb7c0c0a84629079b2fac7db54f">armnn::InputSlot::GetConnection</a></div><div class="ttdeci">const IOutputSlot * GetConnection() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00199">Layer.hpp:199</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#aeb2d638cc0e02c10075e015100996f2d">armnn::Layer::ValidateAndCopyShape</a></div><div class="ttdeci">void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00392">Layer.cpp:392</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantize_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.xhtml">armnn::QuantizeLayer</a></div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8hpp_source.xhtml#l00017">QuantizeLayer.hpp:17</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0607e36e88f38c34c71c663164b76776">armnn::Layer::VerifyLayerConnections</a></div><div class="ttdeci">void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00348">Layer.cpp:348</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdoc">Get a const input slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00316">Layer.hpp:316</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantize_layer_xhtml_a61ce4b923b328be6a87824e50f08a9c4"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.xhtml#a61ce4b923b328be6a87824e50f08a9c4">armnn::QuantizeLayer::QuantizeLayer</a></div><div class="ttdeci">QuantizeLayer(const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8cpp_source.xhtml#l00015">QuantizeLayer.cpp:15</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_layer_xhtml_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a30a858b2b26d651a066537e499fbf40d">armnn::Layer::PrepInfoAndDesc</a></div><div class="ttdeci">WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const</div><div class="ttdoc">Helper function to reduce duplication in *LayerCreateWorkload. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00381">Layer.hpp:381</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a1942c254ba89d17803e5a636aa927d90"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a1942c254ba89d17803e5a636aa927d90">armnn::IWorkloadFactory::CreateQuantize</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateQuantize(const QuantizeQueueDescriptor &descriptor, const WorkloadInfo &Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01585">WorkloadFactory.cpp:1585</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantize_layer_xhtml_ab5045fc8d66572ecba03096ced51a994"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.xhtml#ab5045fc8d66572ecba03096ced51a994">armnn::QuantizeLayer::Clone</a></div><div class="ttdeci">Layer * Clone(Graph &graph) const override</div><div class="ttdoc">Creates a dynamically-allocated copy of this layer. </div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8cpp_source.xhtml#l00029">QuantizeLayer.cpp:29</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Quantize a floating point data type into an 8-bit data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00030">TypesUtils.cpp:30</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
<div class="ttc" id="classarmnn_1_1_graph_xhtml"><div class="ttname"><a href="classarmnn_1_1_graph.xhtml">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.xhtml#l00029">Graph.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#af7f0460d32511de0da525f1817d13e8c">armnn::Layer::SetAdditionalInfo</a></div><div class="ttdeci">void SetAdditionalInfo(QueueDescriptor &descriptor) const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00245">Layer.cpp:245</a></div></div>
<div class="ttc" id="_quantize_layer_8hpp_xhtml"><div class="ttname"><a href="_quantize_layer_8hpp.xhtml">QuantizeLayer.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_quantize_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_quantize_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::QuantizeLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdef"><b>Definition:</b> <a href="_quantize_layer_8cpp_source.xhtml#l00035">QuantizeLayer.cpp:35</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</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="classarmnn_1_1_layer_xhtml_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdoc">Get the const output slot handle by slot index. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00318">Layer.hpp:318</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div>
<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdoc">Returns the name of the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00311">Layer.hpp:311</a></div></div>
<div class="ttc" id="classarmnn_1_1_output_slot_xhtml_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.xhtml#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::OutputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.xhtml#l00063">Layer.cpp:63</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#afe508761cc8318b15329ba4acf7fbfec">armnn::Layer::m_ShapeInferenceMethod</a></div><div class="ttdeci">ShapeInferenceMethod m_ShapeInferenceMethod</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00408">Layer.hpp:408</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00210">Layer.hpp:210</a></div></div>
<div class="ttc" id="_layer_clone_base_8hpp_xhtml"><div class="ttname"><a href="_layer_clone_base_8hpp.xhtml">LayerCloneBase.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdoc">When adding a new layer, adapt also the LastLayer enum value in the enum class LayerType below...</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00419">Types.hpp:419</a></div></div>
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