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| 87 | <a href="_batch_normalization_layer_8cpp.html">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">#include "<a class="code" href="_batch_normalization_layer_8hpp.html">BatchNormalizationLayer.hpp</a>"</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_clone_base_8hpp.html">LayerCloneBase.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="preprocessor">#include <<a class="code" href="_types_utils_8hpp.html">armnn/TypesUtils.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> </div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> {</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> </div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a422383d53af27cac50c856a1b97ee5a8"> 16</a></span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a422383d53af27cac50c856a1b97ee5a8">BatchNormalizationLayer::BatchNormalizationLayer</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a>& param, <span class="keyword">const</span> <span class="keywordtype">char</span>* name)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  : <a class="code" href="classarmnn_1_1_layer_with_parameters.html">LayerWithParameters</a>(1, 1, <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">LayerType</a>::<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">BatchNormalization</a>, param, name)</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> }</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7"> 21</a></span> std::unique_ptr<IWorkload> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">BatchNormalizationLayer::CreateWorkload</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">IWorkloadFactory</a>& factory)<span class="keyword"> const</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword"></span>{</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="comment">// on this level constant data should not be released..</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  BOOST_ASSERT_MSG(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">"BatchNormalizationLayer: Mean data should not be null."</span>);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  BOOST_ASSERT_MSG(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aa5685ee78433980cf535d745d1fcab55">m_Variance</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">"BatchNormalizationLayer: Variance data should not be null."</span>);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  BOOST_ASSERT_MSG(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">"BatchNormalizationLayer: Beta data should not be null."</span>);</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  BOOST_ASSERT_MSG(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aec22bddf14a932c4a72796c30669066b">m_Gamma</a> != <span class="keyword">nullptr</span>, <span class="stringliteral">"BatchNormalizationLayer: Gamma data should not be null."</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"> 29</span>  <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html">BatchNormalizationQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a40051a7aa82f25df43cc4244de04a7ec">m_Mean</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a>.get();</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a8cd8696bb773a02714d3fc095794ec54">m_Variance</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aa5685ee78433980cf535d745d1fcab55">m_Variance</a>.get();</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#ad5f8f205ba69eb186688ca1c2aec207c">m_Beta</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a>.get();</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#afbe59e02a5464703b865ea1ccfff49fd">m_Gamma</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aec22bddf14a932c4a72796c30669066b">m_Gamma</a>.get();</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#abe1e0d40e23195022c0bc10a8aab55ea">CreateBatchNormalization</a>(descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a0a42b443052ed2114f9b8d8eac8bd7fd"> 39</a></span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html">BatchNormalizationLayer</a>* <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a0a42b443052ed2114f9b8d8eac8bd7fd">BatchNormalizationLayer::Clone</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>& graph)<span class="keyword"> const</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword"></span>{</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">auto</span> layer = CloneBase<BatchNormalizationLayer>(graph, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">m_Param</a>, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</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>  layer-><a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a> ? std::make_unique<ScopedCpuTensorHandle>(*m_Mean) : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  layer->m_Variance = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aa5685ee78433980cf535d745d1fcab55">m_Variance</a> ? std::make_unique<ScopedCpuTensorHandle>(*m_Variance) : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  layer->m_Beta = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a> ? std::make_unique<ScopedCpuTensorHandle>(*m_Beta) : <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  layer->m_Gamma = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aec22bddf14a932c4a72796c30669066b">m_Gamma</a> ? std::make_unique<ScopedCpuTensorHandle>(*m_Gamma) : <span class="keyword">nullptr</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"> 48</span>  <span class="keywordflow">return</span> std::move(layer);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966"> 51</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966">BatchNormalizationLayer::ValidateTensorShapesFromInputs</a>()</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>  <a class="code" href="classarmnn_1_1_layer.html#a0607e36e88f38c34c71c663164b76776">VerifyLayerConnections</a>(1, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">auto</span> inferredShapes = <a class="code" href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">InferOutputShapes</a>({ <a class="code" href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">GetInputSlot</a>(0).<a class="code" href="classarmnn_1_1_input_slot.html#a3153abb7c0c0a84629079b2fac7db54f">GetConnection</a>()-><a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</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>  BOOST_ASSERT(inferredShapes.size() == 1);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  ConditionalThrowIfNotEqual<LayerValidationException>(</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="stringliteral">"BatchNormalizationLayer: TensorShape set on OutputSlot[0] does not match the inferred shape."</span>,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_output_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  inferredShapes[0]);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a"> 66</a></span> <a class="code" href="classarmnn_1_1_layer.html#a585d59ec610af46a76487fd6c1c55ac1">Layer::ConstantTensors</a> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">BatchNormalizationLayer::GetConstantTensorsByRef</a>()</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a>, <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aa5685ee78433980cf535d745d1fcab55">m_Variance</a>, <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a>, <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aec22bddf14a932c4a72796c30669066b">m_Gamma</a>};</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> </div><div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a75a50f464326fefa605ea84ae2c9be85"> 71</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a75a50f464326fefa605ea84ae2c9be85">BatchNormalizationLayer::Accept</a>(<a class="code" href="classarmnn_1_1_i_layer_visitor.html">ILayerVisitor</a>& visitor)<span class="keyword"> const</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> <span class="keyword"></span>{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> meanTensor(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a>->GetTensorInfo(), <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a3540afac8fad99bbe68b3f7b57590160">m_Mean</a>->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> varianceTensor(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aa5685ee78433980cf535d745d1fcab55">m_Variance</a>->GetTensorInfo(), <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aa5685ee78433980cf535d745d1fcab55">m_Variance</a>->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> betaTensor(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a>->GetTensorInfo(), <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a77c30d191e7ee8917e2c0ff5e97f5640">m_Beta</a>->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> gammaTensor(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aec22bddf14a932c4a72796c30669066b">m_Gamma</a>->GetTensorInfo(), <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#aec22bddf14a932c4a72796c30669066b">m_Gamma</a>->Map(<span class="keyword">true</span>));</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  visitor.<a class="code" href="classarmnn_1_1_i_layer_visitor.html#a9e642355474f31268e66a404e6c1b81d">VisitBatchNormalizationLayer</a>(</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a502c06a1b13e6d90a6cbf47c081f1444">GetParameters</a>(), meanTensor, varianceTensor, betaTensor, gammaTensor, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> } <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_a8c8f543d7e9729362c266d12ec169966"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966">armnn::BatchNormalizationLayer::ValidateTensorShapesFromInputs</a></div><div class="ttdeci">void ValidateTensorShapesFromInputs() override</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00051">BatchNormalizationLayer.cpp:51</a></div></div> |
| 88 | <div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div> |
| 89 | <div class="ttc" id="classarmnn_1_1_layer_html_a7ddf0cf6f620d59c10e63495ace795d0"><div class="ttname"><a href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">armnn::Layer::GetName</a></div><div class="ttdeci">const char * GetName() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00305">Layer.hpp:305</a></div></div> |
| 90 | <div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div> |
| 91 | <div class="ttc" id="classarmnn_1_1_layer_html_a65ca562c882ad619684445a1402f415a"><div class="ttname"><a href="classarmnn_1_1_layer.html#a65ca562c882ad619684445a1402f415a">armnn::Layer::InferOutputShapes</a></div><div class="ttdeci">std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00370">Layer.cpp:370</a></div></div> |
| 92 | <div class="ttc" id="classarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div> |
| 93 | <div class="ttc" id="classarmnn_1_1_i_output_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo & GetTensorInfo() const =0</div></div> |
| 94 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html">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.html#l00015">BatchNormalizationLayer.hpp:15</a></div></div> |
| 95 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_aec22bddf14a932c4a72796c30669066b"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#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.html#l00025">BatchNormalizationLayer.hpp:25</a></div></div> |
| 96 | <div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html">armnn::BatchNormalizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00269">WorkloadData.hpp:269</a></div></div> |
| 97 | <div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_html_a40051a7aa82f25df43cc4244de04a7ec"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a40051a7aa82f25df43cc4244de04a7ec">armnn::BatchNormalizationQueueDescriptor::m_Mean</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Mean</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00279">WorkloadData.hpp:279</a></div></div> |
| 98 | <div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html">armnn::BatchNormalizationDescriptor</a></div><div class="ttdoc">A BatchNormalizationDescriptor for the BatchNormalizationLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00610">Descriptors.hpp:610</a></div></div> |
| 99 | <div class="ttc" id="classarmnn_1_1_i_workload_factory_html_abe1e0d40e23195022c0bc10a8aab55ea"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#abe1e0d40e23195022c0bc10a8aab55ea">armnn::IWorkloadFactory::CreateBatchNormalization</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateBatchNormalization(const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01100">WorkloadFactory.cpp:1100</a></div></div> |
| 100 | <div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_html_a8cd8696bb773a02714d3fc095794ec54"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a8cd8696bb773a02714d3fc095794ec54">armnn::BatchNormalizationQueueDescriptor::m_Variance</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Variance</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00280">WorkloadData.hpp:280</a></div></div> |
| 101 | <div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div> |
| 102 | <div class="ttc" id="_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div> |
| 103 | <div class="ttc" id="classarmnn_1_1_layer_html_a585d59ec610af46a76487fd6c1c55ac1"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00356">Layer.hpp:356</a></div></div> |
| 104 | <div class="ttc" id="classarmnn_1_1_input_slot_html_a3153abb7c0c0a84629079b2fac7db54f"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#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.html#l00199">Layer.hpp:199</a></div></div> |
| 105 | <div class="ttc" id="_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div> |
| 106 | <div class="ttc" id="classarmnn_1_1_i_layer_visitor_html"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.html">armnn::ILayerVisitor</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_layer_visitor_8hpp_source.html#l00016">ILayerVisitor.hpp:16</a></div></div> |
| 107 | <div class="ttc" id="classarmnn_1_1_layer_with_parameters_html_a502c06a1b13e6d90a6cbf47c081f1444"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a502c06a1b13e6d90a6cbf47c081f1444">armnn::LayerWithParameters< BatchNormalizationDescriptor >::GetParameters</a></div><div class="ttdeci">const BatchNormalizationDescriptor & GetParameters() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00018">LayerWithParameters.hpp:18</a></div></div> |
| 108 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_aa5685ee78433980cf535d745d1fcab55"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#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.html#l00021">BatchNormalizationLayer.hpp:21</a></div></div> |
| 109 | <div class="ttc" id="classarmnn_1_1_i_layer_visitor_html_a9e642355474f31268e66a404e6c1b81d"><div class="ttname"><a href="classarmnn_1_1_i_layer_visitor.html#a9e642355474f31268e66a404e6c1b81d">armnn::ILayerVisitor::VisitBatchNormalizationLayer</a></div><div class="ttdeci">virtual void VisitBatchNormalizationLayer(const IConnectableLayer *layer, const BatchNormalizationDescriptor &desc, const ConstTensor &mean, const ConstTensor &variance, const ConstTensor &beta, const ConstTensor &gamma, const char *name=nullptr)=0</div></div> |
| 110 | <div class="ttc" id="classarmnn_1_1_layer_with_parameters_html_ad32ac22bc72e28dfd6b466d143c8e262"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#ad32ac22bc72e28dfd6b466d143c8e262">armnn::LayerWithParameters< BatchNormalizationDescriptor >::m_Param</a></div><div class="ttdeci">BatchNormalizationDescriptor m_Param</div><div class="ttdoc">The parameters for the layer (not including tensor-valued weights etc.). </div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00050">LayerWithParameters.hpp:50</a></div></div> |
| 111 | <div class="ttc" id="classarmnn_1_1_layer_html_a0607e36e88f38c34c71c663164b76776"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00337">Layer.cpp:337</a></div></div> |
| 112 | <div class="ttc" id="classarmnn_1_1_layer_with_parameters_html"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html">armnn::LayerWithParameters</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00013">LayerWithParameters.hpp:13</a></div></div> |
| 113 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_adfa912d0c4c6c00f1af2cbfa799572b7"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#adfa912d0c4c6c00f1af2cbfa799572b7">armnn::BatchNormalizationLayer::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="_batch_normalization_layer_8cpp_source.html#l00021">BatchNormalizationLayer.cpp:21</a></div></div> |
| 114 | <div class="ttc" id="classarmnn_1_1_layer_with_parameters_html_a30a858b2b26d651a066537e499fbf40d"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">armnn::LayerWithParameters< BatchNormalizationDescriptor >::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_with_parameters_8hpp_source.html#l00043">LayerWithParameters.hpp:43</a></div></div> |
| 115 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_a0a42b443052ed2114f9b8d8eac8bd7fd"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a0a42b443052ed2114f9b8d8eac8bd7fd">armnn::BatchNormalizationLayer::Clone</a></div><div class="ttdeci">BatchNormalizationLayer * Clone(Graph &graph) const override</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00039">BatchNormalizationLayer.cpp:39</a></div></div> |
| 116 | <div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_html_afbe59e02a5464703b865ea1ccfff49fd"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#afbe59e02a5464703b865ea1ccfff49fd">armnn::BatchNormalizationQueueDescriptor::m_Gamma</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Gamma</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00282">WorkloadData.hpp:282</a></div></div> |
| 117 | <div class="ttc" id="namespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_helper_8hpp_source.html#l00011">BackendHelper.hpp:11</a></div></div> |
| 118 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_a75a50f464326fefa605ea84ae2c9be85"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a75a50f464326fefa605ea84ae2c9be85">armnn::BatchNormalizationLayer::Accept</a></div><div class="ttdeci">void Accept(ILayerVisitor &visitor) const override</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00071">BatchNormalizationLayer.cpp:71</a></div></div> |
| 119 | <div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div></div> |
| 120 | <div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div> |
| 121 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_a3540afac8fad99bbe68b3f7b57590160"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#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.html#l00019">BatchNormalizationLayer.hpp:19</a></div></div> |
| 122 | <div class="ttc" id="classarmnn_1_1_graph_html"><div class="ttname"><a href="classarmnn_1_1_graph.html">armnn::Graph</a></div><div class="ttdef"><b>Definition:</b> <a href="_graph_8hpp_source.html#l00029">Graph.hpp:29</a></div></div> |
| 123 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_a77c30d191e7ee8917e2c0ff5e97f5640"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#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.html#l00023">BatchNormalizationLayer.hpp:23</a></div></div> |
| 124 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_a422383d53af27cac50c856a1b97ee5a8"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a422383d53af27cac50c856a1b97ee5a8">armnn::BatchNormalizationLayer::BatchNormalizationLayer</a></div><div class="ttdeci">BatchNormalizationLayer(const BatchNormalizationDescriptor &param, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00016">BatchNormalizationLayer.cpp:16</a></div></div> |
| 125 | <div class="ttc" id="classarmnn_1_1_batch_normalization_layer_html_abe659a5afa7523f5dbc04bcba9b31f1a"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#abe659a5afa7523f5dbc04bcba9b31f1a">armnn::BatchNormalizationLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ConstantTensors GetConstantTensorsByRef() override</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00066">BatchNormalizationLayer.cpp:66</a></div></div> |
| 126 | <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00088">Tensor.hpp:88</a></div></div> |
| 127 | <div class="ttc" id="classarmnn_1_1_output_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_output_slot.html#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.html#l00063">Layer.cpp:63</a></div></div> |
| 128 | <div class="ttc" id="classarmnn_1_1_layer_html_a0e36688a43c35668d8db5257274c68fe"><div class="ttname"><a href="classarmnn_1_1_layer.html#a0e36688a43c35668d8db5257274c68fe">armnn::Layer::GetOutputSlot</a></div><div class="ttdeci">const OutputSlot & GetOutputSlot(unsigned int index=0) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00312">Layer.hpp:312</a></div></div> |
| 129 | <div class="ttc" id="structarmnn_1_1_batch_normalization_queue_descriptor_html_ad5f8f205ba69eb186688ca1c2aec207c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#ad5f8f205ba69eb186688ca1c2aec207c">armnn::BatchNormalizationQueueDescriptor::m_Beta</a></div><div class="ttdeci">const ConstCpuTensorHandle * m_Beta</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00281">WorkloadData.hpp:281</a></div></div> |
| 130 | <div class="ttc" id="namespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4">armnn::LayerType</a></div><div class="ttdeci">LayerType</div><div class="ttdef"><b>Definition:</b> <a href="_internal_types_8hpp_source.html#l00014">InternalTypes.hpp:14</a></div></div> |
| 131 | <div class="ttc" id="classarmnn_1_1_layer_html_acf8b8e23bf647836592982f97088d375"><div class="ttname"><a href="classarmnn_1_1_layer.html#acf8b8e23bf647836592982f97088d375">armnn::Layer::GetInputSlot</a></div><div class="ttdeci">const InputSlot & GetInputSlot(unsigned int index) const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00310">Layer.hpp:310</a></div></div> |
| 132 | <div class="ttc" id="_batch_normalization_layer_8hpp_html"><div class="ttname"><a href="_batch_normalization_layer_8hpp.html">BatchNormalizationLayer.hpp</a></div></div> |
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