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<div class="title">NeonNormalizationFloatWorkload.cpp</div> </div>
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<a href="_neon_normalization_float_workload_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>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<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>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_normalization_float_workload_8hpp.html">NeonNormalizationFloatWorkload.hpp</a>&quot;</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</a>&quot;</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>&gt;</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_polymorphic_downcast_8hpp.html">armnn/utility/PolymorphicDowncast.hpp</a>&gt;</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="preprocessor">#include &lt;arm_compute/runtime/NEON/functions/NENormalizationLayer.h&gt;</span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; </div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="keyword">using namespace </span>armnn::armcomputetensorutils;</div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; </div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;{</div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; </div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="keyword">namespace</span></div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="keyword">using</span> <a class="code" href="namespacearmnn.html#af206e37bc077be6083853fd8365b999a">ACLMemManagerOnDemand</a> = std::shared_ptr&lt;arm_compute::MemoryManagerOnDemand&gt;;</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; </div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="keywordtype">bool</span> IsNeonNormalizationDescriptorSupported(<span class="keyword">const</span> NormalizationDescriptor&amp; parameters,</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; Optional&lt;std::string&amp;&gt; reasonIfUnsupported)</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordflow">if</span> (parameters.m_NormMethodType != <a class="code" href="namespacearmnn.html#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">NormalizationAlgorithmMethod::LocalBrightness</a>)</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; {</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">if</span> (reasonIfUnsupported)</div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; reasonIfUnsupported.value() = <span class="stringliteral">&quot;Unsupported normalisation method type, only LocalBrightness is supported&quot;</span>;</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; }</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">if</span> (parameters.m_NormSize % 2 == 0)</div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="keywordflow">if</span> (reasonIfUnsupported)</div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; {</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; reasonIfUnsupported.value() = <span class="stringliteral">&quot;Normalization size must be an odd number.&quot;</span>;</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; }</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;}</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; </div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;} <span class="comment">// anonymous namespace</span></div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; </div>
<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a2ec6297db90d1d4c258c13d2d72b13d9"> 49</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a2ec6297db90d1d4c258c13d2d72b13d9">NeonNormalizationWorkloadValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; input,</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; output,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_descriptor.html">NormalizationDescriptor</a>&amp; descriptor)</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;{</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclInput = BuildArmComputeTensorInfo(input, descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keyword">const</span> arm_compute::TensorInfo aclOutput = BuildArmComputeTensorInfo(output, descriptor.<a class="code" href="structarmnn_1_1_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; </div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; arm_compute::NormalizationLayerInfo normalizationInfo = BuildArmComputeNormalizationLayerInfo(descriptor);</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <span class="keywordflow">return</span> arm_compute::NENormalizationLayer::validate(&amp;aclInput, &amp;aclOutput, normalizationInfo);</div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;}</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; </div>
<div class="line"><a name="l00061"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_normalization_float_workload.html#a08d141881dde41efd6118750e576e632"> 61</a></span>&#160;<a class="code" href="classarmnn_1_1_neon_normalization_float_workload.html#a08d141881dde41efd6118750e576e632">NeonNormalizationFloatWorkload::NeonNormalizationFloatWorkload</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_normalization_queue_descriptor.html">NormalizationQueueDescriptor</a>&amp; descriptor,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; info,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="namespacearmnn.html#af206e37bc077be6083853fd8365b999a">ACLMemManagerOnDemand</a>&amp; memoryManager)</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; : <a class="code" href="classarmnn_1_1_typed_workload.html">FloatWorkload</a>&lt;<a class="code" href="structarmnn_1_1_normalization_queue_descriptor.html">NormalizationQueueDescriptor</a>&gt;(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="comment">// Report Profiling Details</span></div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">&quot;NeonNormalizationWorkload_Construct&quot;</span>,</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; this-&gt;GetGuid());</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;NeonNormalizationFloatWorkload&quot;</span>, 1, 1);</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; std::string reasonIfUnsupported;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <span class="keywordflow">if</span> (!IsNeonNormalizationDescriptorSupported(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters, <a class="code" href="classarmnn_1_1_optional.html">Optional&lt;std::string&amp;&gt;</a>(reasonIfUnsupported)))</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; {</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">UnimplementedException</a>(reasonIfUnsupported);</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; }</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; </div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="comment">// Input and output tensors have to have the same dimensionality.</span></div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetShape()[1] != <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0].GetShape()[1]</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; || <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetShape()[0] != <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0].GetShape()[0]</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; || <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetShape()[3] != <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0].GetShape()[3]</div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; || <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_InputTensorInfos[0].GetShape()[2] != <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.m_OutputTensorInfos[0].GetShape()[2])</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; {</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Normalization requires input and output tensors to have equal dimensionality.&quot;</span>);</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; }</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; </div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; arm_compute::ITensor&amp; input = PolymorphicDowncast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[0])-&gt;GetTensor();</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; arm_compute::ITensor&amp; output = PolymorphicDowncast&lt;IAclTensorHandle*&gt;(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>[0])-&gt;GetTensor();</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">arm_compute::DataLayout</a> aclDataLayout = ConvertDataLayout(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_DataLayout);</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; input.info()-&gt;set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; output.info()-&gt;set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; </div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; <span class="keyword">const</span> arm_compute::NormType normType =</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="namespacearmnn.html#aa5baabb8e3a4aa6cbdcab419d743e747">ConvertNormalizationAlgorithmChannelToAclNormType</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_NormChannelType);</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; arm_compute::NormalizationLayerInfo normalizationInfo(normType,</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_NormSize,</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_Alpha,</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_Beta,</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_K,</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">false</span>);</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keyword">auto</span> layer = std::make_unique&lt;arm_compute::NENormalizationLayer&gt;(memoryManager);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; layer-&gt;configure(&amp;input, &amp;output, normalizationInfo);</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; m_NormalizationLayer.reset(layer.release());</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;}</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; </div>
<div class="line"><a name="l00107"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a"> 107</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">NeonNormalizationFloatWorkload::Execute</a>()<span class="keyword"> const</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;<span class="keyword"></span>{</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; <a class="code" href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a>(<span class="stringliteral">&quot;NeonNormalizationFloatWorkload_Execute&quot;</span>);</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; m_NormalizationLayer-&gt;run();</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;}</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; </div>
<div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837"> 113</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837">NeonNormalizationFloatWorkload::ReplaceInputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160;{</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* backupHandle = this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[slot];</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[slot] = tensorHandle;</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="keywordflow">try</span></div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; {</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; Reconfigure();</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; }</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>&amp; e)</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; {</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[slot] = backupHandle;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; <span class="keywordflow">throw</span> e;</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; }</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;}</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;<span class="comment">// Replace output tensor handle with the given TensorHandle</span></div>
<div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="classarmnn_1_1_neon_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd"> 130</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_neon_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd">NeonNormalizationFloatWorkload::ReplaceOutputTensorHandle</a>(<a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* tensorHandle, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> slot)</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;{</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* backupHandle = this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[slot];</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[slot] = tensorHandle;</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">try</span></div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; {</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; Reconfigure();</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>&amp; e)</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; {</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; this-&gt;<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>[slot] = backupHandle;</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <span class="keywordflow">throw</span> e;</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; }</div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;}</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;<span class="keywordtype">void</span> NeonNormalizationFloatWorkload::Reconfigure()</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;{</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>(<span class="stringliteral">&quot;Reconfigure not implemented for this workload&quot;</span>);</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;}</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; </div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;} <span class="comment">//namespace armnn</span></div>
</div><!-- fragment --></div><!-- contents -->
</div><!-- doc-content -->
<div class="ttc" id="astructarmnn_1_1_normalization_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_queue_descriptor.html">armnn::NormalizationQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00252">WorkloadData.hpp:252</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional</a></div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00270">Optional.hpp:270</a></div></div>
<div class="ttc" id="anamespacearmnn_html_af206e37bc077be6083853fd8365b999a"><div class="ttname"><a href="namespacearmnn.html#af206e37bc077be6083853fd8365b999a">armnn::ACLMemManagerOnDemand</a></div><div class="ttdeci">std::shared_ptr&lt; arm_compute::MemoryManagerOnDemand &gt; ACLMemManagerOnDemand</div><div class="ttdef"><b>Definition:</b> <a href="_neon_fully_connected_workload_8cpp_source.html#l00022">NeonFullyConnectedWorkload.cpp:22</a></div></div>
<div class="ttc" id="a_neon_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_neon_normalization_float_workload_8hpp.html">NeonNormalizationFloatWorkload.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00062">Types.hpp:62</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_neon_normalization_float_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_neon_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::NeonNormalizationFloatWorkload::Execute</a></div><div class="ttdeci">virtual void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_normalization_float_workload_8cpp_source.html#l00107">NeonNormalizationFloatWorkload.cpp:107</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a765d2cee4ccce5b9467e0c2b6d25b84a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">armnn::QueueDescriptor::ValidateInputsOutputs</a></div><div class="ttdeci">void ValidateInputsOutputs(const std::string &amp;descName, unsigned int numExpectedIn, unsigned int numExpectedOut) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8cpp_source.html#l00446">WorkloadData.cpp:446</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="anamespacearmnn_html_ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d"><div class="ttname"><a href="namespacearmnn.html#ad605d1661fa0d8c7fea651d82fbe11c9ac65d2e51c610dd3853a3c777aa8bfe9d">armnn::NormalizationAlgorithmMethod::LocalBrightness</a></div><div class="ttdeci">@ LocalBrightness</div><div class="ttdoc">Krichevsky 2012: Local Brightness Normalization.</div></div>
<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html">armnn::NormalizationDescriptor</a></div><div class="ttdoc">A NormalizationDescriptor for the NormalizationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00769">Descriptors.hpp:769</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_handle_8hpp_source.html#l00016">ITensorHandle.hpp:16</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_typed_workload_html"><div class="ttname"><a href="classarmnn_1_1_typed_workload.html">armnn::TypedWorkload</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00101">Workload.hpp:101</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_neon_normalization_float_workload_html_a08d141881dde41efd6118750e576e632"><div class="ttname"><a href="classarmnn_1_1_neon_normalization_float_workload.html#a08d141881dde41efd6118750e576e632">armnn::NeonNormalizationFloatWorkload::NeonNormalizationFloatWorkload</a></div><div class="ttdeci">NeonNormalizationFloatWorkload(const NormalizationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info, std::shared_ptr&lt; arm_compute::MemoryManagerOnDemand &gt; &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_normalization_float_workload_8cpp_source.html#l00061">NeonNormalizationFloatWorkload.cpp:61</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a2ec6297db90d1d4c258c13d2d72b13d9"><div class="ttname"><a href="namespacearmnn.html#a2ec6297db90d1d4c258c13d2d72b13d9">armnn::NeonNormalizationWorkloadValidate</a></div><div class="ttdeci">arm_compute::Status NeonNormalizationWorkloadValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const NormalizationDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_neon_normalization_float_workload_8cpp_source.html#l00049">NeonNormalizationFloatWorkload.cpp:49</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00066">WorkloadData.hpp:66</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_neon_normalization_float_workload_html_acc08590544f05c641d21c724aedf26dd"><div class="ttname"><a href="classarmnn_1_1_neon_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd">armnn::NeonNormalizationFloatWorkload::ReplaceOutputTensorHandle</a></div><div class="ttdeci">void ReplaceOutputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_normalization_float_workload_8cpp_source.html#l00130">NeonNormalizationFloatWorkload.cpp:130</a></div></div>
<div class="ttc" id="astructarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
<div class="ttc" id="a_polymorphic_downcast_8hpp_html"><div class="ttname"><a href="_polymorphic_downcast_8hpp.html">PolymorphicDowncast.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="astructarmnn_1_1_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::NormalizationDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00805">Descriptors.hpp:805</a></div></div>
<div class="ttc" id="a_arm_compute_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_utils_8hpp.html">ArmComputeUtils.hpp</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div>
<div class="ttc" id="a_profiling_8hpp_html_a786492a3881a4c760ab1eec2149f4aba"><div class="ttname"><a href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a></div><div class="ttdeci">#define ARMNN_REPORT_PROFILING_WORKLOAD_DESC(name, desc, infos, guid)</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8hpp_source.html#l00227">Profiling.hpp:227</a></div></div>
<div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70b"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">armnn::Status</a></div><div class="ttdeci">Status</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00042">Types.hpp:42</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload::m_Data</a></div><div class="ttdeci">QueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div>
<div class="ttc" id="a_neon_workload_utils_8hpp_html"><div class="ttname"><a href="_neon_workload_utils_8hpp.html">NeonWorkloadUtils.hpp</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="anamespacearmnn_html_aa5baabb8e3a4aa6cbdcab419d743e747"><div class="ttname"><a href="namespacearmnn.html#aa5baabb8e3a4aa6cbdcab419d743e747">armnn::ConvertNormalizationAlgorithmChannelToAclNormType</a></div><div class="ttdeci">arm_compute::NormType ConvertNormalizationAlgorithmChannelToAclNormType(NormalizationAlgorithmChannel channelType)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00182">ArmComputeUtils.hpp:182</a></div></div>
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<div class="ttc" id="a_neon_workload_utils_8hpp_html_a7f97eedf3c9436b110df92c947bbb55d"><div class="ttname"><a href="_neon_workload_utils_8hpp.html#a7f97eedf3c9436b110df92c947bbb55d">ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_NEON_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_neon_workload_utils_8hpp_source.html#l00032">NeonWorkloadUtils.hpp:32</a></div></div>
<div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector&lt; ITensorHandle * &gt; m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_neon_normalization_float_workload_html_ab0a67f8179ddb997dda0070a6661f837"><div class="ttname"><a href="classarmnn_1_1_neon_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837">armnn::NeonNormalizationFloatWorkload::ReplaceInputTensorHandle</a></div><div class="ttdeci">void ReplaceInputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_neon_normalization_float_workload_8cpp_source.html#l00113">NeonNormalizationFloatWorkload.cpp:113</a></div></div>
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