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| <a href="_batch_normalization_layer_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> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> </div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_layer_with_parameters_8hpp.xhtml">LayerWithParameters.hpp</a>"</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> </div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</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">class </span>ScopedCpuTensorHandle;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">/// This layer represents a batch normalization operation.</span></div><div class="line"><a name="l00015"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.xhtml"> 15</a></span> <span class="comment"></span><span class="keyword">class </span><a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml">BatchNormalizationLayer</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_layer_with_parameters.xhtml">LayerWithParameters</a><BatchNormalizationDescriptor></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">public</span>:<span class="comment"></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> /// A unique pointer to store Mean values</span></div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.xhtml#a3540afac8fad99bbe68b3f7b57590160"> 19</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a>;<span class="comment"></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> /// A unique pointer to store Variance values</span></div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.xhtml#aa5685ee78433980cf535d745d1fcab55"> 21</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#aa5685ee78433980cf535d745d1fcab55">m_Variance</a>;<span class="comment"></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> /// A unique pointer to store Beta values</span></div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.xhtml#a77c30d191e7ee8917e2c0ff5e97f5640"> 23</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a>;<span class="comment"></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="comment"> /// A unique pointer to store Gamma values</span></div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.xhtml#aec22bddf14a932c4a72796c30669066b"> 25</a></span> <span class="comment"></span> std::unique_ptr<ScopedCpuTensorHandle> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#aec22bddf14a932c4a72796c30669066b">m_Gamma</a>;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="comment"></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="comment"> /// Makes a workload for the BatchNormalization type.</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="comment"> /// @param [in] graph The graph where this layer can be found.</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="comment"> /// @param [in] factory The workload factory which will create the workload.</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="comment"> /// @return A pointer to the created workload, or nullptr if not created.</span></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="comment"></span> <span class="keyword">virtual</span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">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 override</span>;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="comment"></span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="comment"> /// Creates a dynamically-allocated copy of this layer.</span></div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="comment"> /// @param [in] graph The graph into which this layer is being cloned.</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml">BatchNormalizationLayer</a>* <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a0a42b443052ed2114f9b8d8eac8bd7fd">Clone</a>(<a class="code" href="classarmnn_1_1_graph.xhtml">Graph</a>& graph) <span class="keyword">const override</span>;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"></span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> /// Check if the input tensor shape(s)</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> /// will lead to a valid configuration of @ref BatchNormalizationLayer.</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">ValidateTensorShapesFromInputs</a>() <span class="keyword">override</span>;</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>  <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.xhtml">ILayerVisitor</a>& visitor) <span class="keyword">const override</span>;</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">protected</span>:<span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment"> /// Constructor to create a BatchNormalizationLayer.</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> /// @param [in] param BatchNormalizationDescriptor to configure the batch normalization operation.</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> /// @param [in] name Optional name for the layer.</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a422383d53af27cac50c856a1b97ee5a8">BatchNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.xhtml">BatchNormalizationDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"></span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> /// Default destructor</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#a15bb63bb2fb8d760dc022720a7314acf">~BatchNormalizationLayer</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"></span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> /// Retrieve the handles to the constant values stored by the layer.</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> /// @return A vector of the constant tensors stored by this layer.</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"></span> <a class="code" href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">ConstantTensors</a> <a class="code" href="classarmnn_1_1_batch_normalization_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">GetConstantTensorsByRef</a>() <span class="keyword">override</span>;</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</span></div><div class="ttc" id="_layer_with_parameters_8hpp_xhtml"><div class="ttname"><a href="_layer_with_parameters_8hpp.xhtml">LayerWithParameters.hpp</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml">armnn::BatchNormalizationLayer</a></div><div class="ttdoc">This layer represents a batch normalization operation. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00015">BatchNormalizationLayer.hpp:15</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::BatchNormalizationLayer::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(const IWorkloadFactory &factory) const override</div><div class="ttdoc">Makes a workload for the BatchNormalization type. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.xhtml#l00021">BatchNormalizationLayer.cpp:21</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a0a42b443052ed2114f9b8d8eac8bd7fd"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a0a42b443052ed2114f9b8d8eac8bd7fd">armnn::BatchNormalizationLayer::Clone</a></div><div class="ttdeci">BatchNormalizationLayer * 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="_batch_normalization_layer_8cpp_source.xhtml#l00039">BatchNormalizationLayer.cpp:39</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#l00021">WorkloadFactory.hpp:21</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_aec22bddf14a932c4a72796c30669066b"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#aec22bddf14a932c4a72796c30669066b">armnn::BatchNormalizationLayer::m_Gamma</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Gamma</div><div class="ttdoc">A unique pointer to store Gamma values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00025">BatchNormalizationLayer.hpp:25</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_aa5685ee78433980cf535d745d1fcab55"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#aa5685ee78433980cf535d745d1fcab55">armnn::BatchNormalizationLayer::m_Variance</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Variance</div><div class="ttdoc">A unique pointer to store Variance values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00021">BatchNormalizationLayer.hpp:21</a></div></div> |
| <div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2020 ARM Limited. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00025">00_introduction.dox:25</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a75a50f464326fefa605ea84ae2c9be85"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a75a50f464326fefa605ea84ae2c9be85">armnn::BatchNormalizationLayer::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="_batch_normalization_layer_8cpp_source.xhtml#l00071">BatchNormalizationLayer.cpp:71</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a77c30d191e7ee8917e2c0ff5e97f5640"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a77c30d191e7ee8917e2c0ff5e97f5640">armnn::BatchNormalizationLayer::m_Beta</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Beta</div><div class="ttdoc">A unique pointer to store Beta values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00023">BatchNormalizationLayer.hpp:23</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a3540afac8fad99bbe68b3f7b57590160"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a3540afac8fad99bbe68b3f7b57590160">armnn::BatchNormalizationLayer::m_Mean</a></div><div class="ttdeci">std::unique_ptr< ScopedCpuTensorHandle > m_Mean</div><div class="ttdoc">A unique pointer to store Mean values. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8hpp_source.xhtml#l00019">BatchNormalizationLayer.hpp:19</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a8c8f543d7e9729362c266d12ec169966">armnn::BatchNormalizationLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdoc">Check if the input tensor shape(s) will lead to a valid configuration of BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.xhtml#l00051">BatchNormalizationLayer.cpp:51</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_batch_normalization_layer_xhtml_abe659a5afa7523f5dbc04bcba9b31f1a"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#abe659a5afa7523f5dbc04bcba9b31f1a">armnn::BatchNormalizationLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ConstantTensors GetConstantTensorsByRef() override</div><div class="ttdoc">Retrieve the handles to the constant values stored by the layer. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.xhtml#l00066">BatchNormalizationLayer.cpp:66</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_with_parameters_xhtml"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.xhtml">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.xhtml#l00013">LayerWithParameters.hpp:13</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_layer_xhtml_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.xhtml#a585d59ec610af46a76487fd6c1c55ac1">armnn::Layer::ConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< std::unique_ptr< ScopedCpuTensorHandle > >> ConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.xhtml#l00363">Layer.hpp:363</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a15bb63bb2fb8d760dc022720a7314acf"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a15bb63bb2fb8d760dc022720a7314acf">armnn::BatchNormalizationLayer::~BatchNormalizationLayer</a></div><div class="ttdeci">~BatchNormalizationLayer()=default</div><div class="ttdoc">Default destructor. </div></div> |
| <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_xhtml_a422383d53af27cac50c856a1b97ee5a8"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.xhtml#a422383d53af27cac50c856a1b97ee5a8">armnn::BatchNormalizationLayer::BatchNormalizationLayer</a></div><div class="ttdeci">BatchNormalizationLayer(const BatchNormalizationDescriptor &param, const char *name)</div><div class="ttdoc">Constructor to create a BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.xhtml#l00016">BatchNormalizationLayer.cpp:16</a></div></div> |
| <div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.xhtml">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00610">Descriptors.hpp:610</a></div></div> |
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