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| <div class="title">BatchNormalizationLayer.cpp</div> </div> |
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| <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 © 2017-2023 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> <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="_tensor_handle_8hpp.html">armnn/backends/TensorHandle.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">armnn/backends/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>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">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>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">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>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">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>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">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>  <a class="code" href="classarmnn_1_1_layer.html#af7f0460d32511de0da525f1817d13e8c">SetAdditionalInfo</a>(descriptor);</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  </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#a0ae7224f556b0d008d060f847c8f8901">m_Mean</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</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#a744e5178444c4b7bc4d516f4bbee8fcd">m_Variance</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</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#addb90eb7f4baa493fce64fdb7f140018">m_Beta</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a>.get();</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a96ee5ab4a7d2d8a4634b77d4eb9a949f">m_Gamma</a> = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a>.get();</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>  <span class="keywordflow">return</span> factory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">CreateWorkload</a>(<a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">LayerType::BatchNormalization</a>, descriptor, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#a30a858b2b26d651a066537e499fbf40d">PrepInfoAndDesc</a>(descriptor));</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>  </div> |
| <div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a0a42b443052ed2114f9b8d8eac8bd7fd"> 40</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="l00041"></a><span class="lineno"> 41</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</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="l00043"></a><span class="lineno"> 43</span>  </div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  layer->m_Mean = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a> ? <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  layer->m_Variance = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</a> ? <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  layer->m_Beta = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a> ? <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  layer->m_Gamma = <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a> ? <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a> : <span class="keyword">nullptr</span>;</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  </div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> std::move(layer);</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  </div> |
| <div class="line"><a name="l00052"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a8c8f543d7e9729362c266d12ec169966"> 52</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="l00053"></a><span class="lineno"> 53</span> {</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</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="l00055"></a><span class="lineno"> 55</span>  </div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>& outputShape = <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="l00057"></a><span class="lineno"> 57</span>  </div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="classarmnn_1_1_layer.html#a448afc716fda85394df1e8e5b7d530e8">VerifyShapeInferenceType</a>(outputShape, <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>);</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  </div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</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#ada2ad7d1caeeb4ef6195c8925fad6a65">GetTensorInfo</a>().<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() });</div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  </div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(inferredShapes.size() == 1);</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>  <a class="code" href="classarmnn_1_1_layer.html#aeb2d638cc0e02c10075e015100996f2d">ValidateAndCopyShape</a>(outputShape, inferredShapes[0], <a class="code" href="classarmnn_1_1_layer.html#afe508761cc8318b15329ba4acf7fbfec">m_ShapeInferenceMethod</a>, <span class="stringliteral">"BatchNormalizationLayer"</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"> 66</span> }</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  </div> |
| <div class="line"><a name="l00068"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a29cc31172f6ab16ac931f90c667c092d"> 68</a></span> <a class="code" href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">Layer::ImmutableConstantTensors</a> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a29cc31172f6ab16ac931f90c667c092d">BatchNormalizationLayer::GetConstantTensorsByRef</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="comment">// For API stability DO NOT ALTER order and add new members to the end of vector</span></div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> {<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a>, <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</a>, <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a>, <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a>};</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span> }</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  </div> |
| <div class="line"><a name="l00074"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc"> 74</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">BatchNormalizationLayer::ExecuteStrategy</a>(<a class="code" href="classarmnn_1_1_i_strategy.html">IStrategy</a>& strategy)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedMean(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">m_Mean</a>);</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedVariance(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">m_Variance</a>);</div> |
| <div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedBeta(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">m_Beta</a>);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html">ManagedConstTensorHandle</a> managedGamma(<a class="code" href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">m_Gamma</a>);</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>  std::vector<armnn::ConstTensor> constTensors { { managedMean.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedMean.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>() },</div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  { managedVariance.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedVariance.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>() },</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  { managedBeta.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedBeta.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>() },</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  { managedGamma.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">GetTensorInfo</a>(), managedGamma.<a class="code" href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">Map</a>() } };</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  strategy.<a class="code" href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">ExecuteStrategy</a>(<span class="keyword">this</span>, <a class="code" href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">GetParameters</a>(), constTensors, <a class="code" href="classarmnn_1_1_layer.html#a7ddf0cf6f620d59c10e63495ace795d0">GetName</a>());</div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span> }</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  </div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span> } <span class="comment">// namespace armnn</span></div> |
| </div><!-- fragment --></div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="a_assert_8hpp_html_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.html#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00014">Assert.hpp:14</a></div></div> |
| <div class="ttc" id="astructarmnn_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#l00828">Descriptors.hpp:828</a></div></div> |
| <div class="ttc" id="astructarmnn_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#l00311">WorkloadData.hpp:311</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4ae4743c3ec15d1d84169b17264634692e">armnn::LayerType::BatchNormalization</a></div><div class="ttdeci">@ BatchNormalization</div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_a96ee5ab4a7d2d8a4634b77d4eb9a949f"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a96ee5ab4a7d2d8a4634b77d4eb9a949f">armnn::BatchNormalizationQueueDescriptor::m_Gamma</a></div><div class="ttdeci">const ConstTensorHandle * m_Gamma</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00324">WorkloadData.hpp:324</a></div></div> |
| <div class="ttc" id="aclassarmnn_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#l00092">Layer.cpp:92</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a2dfc280952c7939299c304fcbf855b97"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a2dfc280952c7939299c304fcbf855b97">armnn::BatchNormalizationLayer::m_Mean</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > 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> |
| <div class="ttc" id="a_types_utils_8hpp_html"><div class="ttname"><a href="_types_utils_8hpp.html">TypesUtils.hpp</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_a744e5178444c4b7bc4d516f4bbee8fcd"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a744e5178444c4b7bc4d516f4bbee8fcd">armnn::BatchNormalizationQueueDescriptor::m_Variance</a></div><div class="ttdeci">const ConstTensorHandle * m_Variance</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00322">WorkloadData.hpp:322</a></div></div> |
| <div class="ttc" id="a_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#l00203">Exceptions.hpp:203</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_aeb2d638cc0e02c10075e015100996f2d"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00435">Layer.cpp:435</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="ttdoc">Get the const output slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00339">Layer.hpp:339</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_a0ae7224f556b0d008d060f847c8f8901"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#a0ae7224f556b0d008d060f847c8f8901">armnn::BatchNormalizationQueueDescriptor::m_Mean</a></div><div class="ttdeci">const ConstTensorHandle * m_Mean</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00321">WorkloadData.hpp:321</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_strategy_html"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html">armnn::IStrategy</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_strategy_8hpp_source.html#l00016">IStrategy.hpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_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> |
| <div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html">armnn::ManagedConstTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00187">TensorHandle.hpp:187</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="ttdoc">Get a const input slot handle by slot index.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00337">Layer.hpp:337</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_with_parameters_html_afa3e8a8f23589b1eaddbe203825bbdcf"><div class="ttname"><a href="classarmnn_1_1_layer_with_parameters.html#afa3e8a8f23589b1eaddbe203825bbdcf">armnn::LayerWithParameters< BatchNormalizationDescriptor >::GetParameters</a></div><div class="ttdeci">const BatchNormalizationDescriptor & GetParameters() const override</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00019">LayerWithParameters.hpp:19</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a46fc3fdd4b2a5dd6d184e57983cf20bc"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a46fc3fdd4b2a5dd6d184e57983cf20bc">armnn::BatchNormalizationLayer::ExecuteStrategy</a></div><div class="ttdeci">void ExecuteStrategy(IStrategy &strategy) 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.html#l00074">BatchNormalizationLayer.cpp:74</a></div></div> |
| <div class="ttc" id="a_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_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#l00014">LayerWithParameters.hpp:14</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="ttdoc">Returns the name of the layer.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00332">Layer.hpp:332</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_aba5c20cadbebd2e7ba67e20a47e31472"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#aba5c20cadbebd2e7ba67e20a47e31472">armnn::IConnectableLayer::ImmutableConstantTensors</a></div><div class="ttdeci">std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >> ImmutableConstantTensors</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00141">INetwork.hpp:141</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_input_slot_html_ada2ad7d1caeeb4ef6195c8925fad6a65"><div class="ttname"><a href="classarmnn_1_1_input_slot.html#ada2ad7d1caeeb4ef6195c8925fad6a65">armnn::InputSlot::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const override</div><div class="ttdoc">Gets the TensorInfo for this InputSlot.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00592">Layer.cpp:592</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a5da51be22147d174ff661810c32675b0"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a5da51be22147d174ff661810c32675b0">armnn::BatchNormalizationLayer::m_Gamma</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > 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> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="aclassarmnn_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#l00052">LayerWithParameters.hpp:52</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a7d38a70f30295f365c3a98fc7fa4a229"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a7d38a70f30295f365c3a98fc7fa4a229">armnn::BatchNormalizationLayer::m_Variance</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > 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> |
| <div class="ttc" id="a_batch_normalization_layer_8hpp_html"><div class="ttname"><a href="_batch_normalization_layer_8hpp.html">BatchNormalizationLayer.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_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 *Layer::CreateWorkload.</div><div class="ttdef"><b>Definition:</b> <a href="_layer_with_parameters_8hpp_source.html#l00044">LayerWithParameters.hpp:44</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a29cc31172f6ab16ac931f90c667c092d"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a29cc31172f6ab16ac931f90c667c092d">armnn::BatchNormalizationLayer::GetConstantTensorsByRef</a></div><div class="ttdeci">ImmutableConstantTensors GetConstantTensorsByRef() const 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.html#l00068">BatchNormalizationLayer.cpp:68</a></div></div> |
| <div class="ttc" id="aclassarmnn_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#l00022">WorkloadFactory.hpp:22</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_batch_normalization_queue_descriptor_html_addb90eb7f4baa493fce64fdb7f140018"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_queue_descriptor.html#addb90eb7f4baa493fce64fdb7f140018">armnn::BatchNormalizationQueueDescriptor::m_Beta</a></div><div class="ttdeci">const ConstTensorHandle * m_Beta</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00323">WorkloadData.hpp:323</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_a448afc716fda85394df1e8e5b7d530e8"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00504">Layer.cpp:504</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="ttdoc">Makes a workload for the BatchNormalization type.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00021">BatchNormalizationLayer.cpp:21</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a85e02725184184331cc2e3b00642be47"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a85e02725184184331cc2e3b00642be47">armnn::ManagedConstTensorHandle::Map</a></div><div class="ttdeci">const void * Map(bool blocking=true)</div><div class="ttdoc">RAII Managed resource Unmaps MemoryArea once out of scope.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00196">TensorHandle.hpp:196</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_af7f0460d32511de0da525f1817d13e8c"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00287">Layer.cpp:287</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="ttdoc">Creates a dynamically-allocated copy of this layer.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00040">BatchNormalizationLayer.cpp:40</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_batch_normalization_layer_html_a7645e8ead378db5ad17eadbdb9df4da6"><div class="ttname"><a href="classarmnn_1_1_batch_normalization_layer.html#a7645e8ead378db5ad17eadbdb9df4da6">armnn::BatchNormalizationLayer::m_Beta</a></div><div class="ttdeci">std::shared_ptr< ConstTensorHandle > 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> |
| <div class="ttc" id="a_tensor_handle_8hpp_html"><div class="ttname"><a href="_tensor_handle_8hpp.html">TensorHandle.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="ttdoc">Constructor to create a BatchNormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_batch_normalization_layer_8cpp_source.html#l00016">BatchNormalizationLayer.cpp:16</a></div></div> |
| <div class="ttc" id="aclassarmnn_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#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="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.html#l00410">Layer.cpp:410</a></div></div> |
| <div class="ttc" id="aclassarmnn_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#l00391">Layer.cpp:391</a></div></div> |
| <div class="ttc" id="aclassarmnn_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="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.html#l00052">BatchNormalizationLayer.cpp:52</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_layer_html_afe508761cc8318b15329ba4acf7fbfec"><div class="ttname"><a href="classarmnn_1_1_layer.html#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.html#l00441">Layer.hpp:441</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4"><div class="ttname"><a href="namespacearmnn.html#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.html#l00491">Types.hpp:491</a></div></div> |
| <div class="ttc" id="aclassarmnn_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#l00030">Graph.hpp:30</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_workload_factory_html_a694a8411c8c799da95306034d274930b"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a694a8411c8c799da95306034d274930b">armnn::IWorkloadFactory::CreateWorkload</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateWorkload(LayerType type, const QueueDescriptor &descriptor, const WorkloadInfo &info) const =0</div><div class="ttdoc">Backends should implement their own CreateWorkload function with a switch statement.</div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_strategy_html_ad4f8c9ff973cf6a603d26b56c5b34967"><div class="ttname"><a href="classarmnn_1_1_i_strategy.html#ad4f8c9ff973cf6a603d26b56c5b34967">armnn::IStrategy::ExecuteStrategy</a></div><div class="ttdeci">virtual void ExecuteStrategy(const IConnectableLayer *layer, const armnn::BaseDescriptor &descriptor, const std::vector< armnn::ConstTensor > &constants, const char *name, const armnn::LayerBindingId id=0)=0</div></div> |
| <div class="ttc" id="a_layer_clone_base_8hpp_html"><div class="ttname"><a href="_layer_clone_base_8hpp.html">LayerCloneBase.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_managed_const_tensor_handle_html_a66e8f43a5b42b500871ed96e15419567"><div class="ttname"><a href="classarmnn_1_1_managed_const_tensor_handle.html#a66e8f43a5b42b500871ed96e15419567">armnn::ManagedConstTensorHandle::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_handle_8hpp_source.html#l00239">TensorHandle.hpp:239</a></div></div> |
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