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+<a href="_cl_batch_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 Arm Ltd. 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="_cl_batch_normalization_float_workload_8hpp.html">ClBatchNormalizationFloatWorkload.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</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_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.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="_cl_layer_support_8hpp.html">cl/ClLayerSupport.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a>&quot;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;{</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="keyword">using namespace </span>armcomputetensorutils;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="namespacearmnn.html#ad6cb42ca5150bb96c151e4a4e6557d70">   18</a></span>&#160;<a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#ad6cb42ca5150bb96c151e4a4e6557d70">ClBatchNormalizationValidate</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="l00019"></a><span class="lineno">   19</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="l00020"></a><span class="lineno">   20</span>&#160;                                                 <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; mean,</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;                                                 <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; var,</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;                                                 <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; beta,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                                                 <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; gamma,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;                                                 <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a> &amp;desc)</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;{</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo =</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;          armcomputetensorutils::BuildArmComputeTensorInfo(input, desc.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo =</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;          armcomputetensorutils::BuildArmComputeTensorInfo(output, desc.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclMeanInfo =</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;          armcomputetensorutils::BuildArmComputeTensorInfo(mean, desc.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclVarInfo =</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;          armcomputetensorutils::BuildArmComputeTensorInfo(var, desc.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclBetaInfo =</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;          armcomputetensorutils::BuildArmComputeTensorInfo(beta, desc.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <span class="keyword">const</span> arm_compute::TensorInfo aclGammaInfo =</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;          armcomputetensorutils::BuildArmComputeTensorInfo(gamma, desc.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</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;    <span class="keywordflow">return</span> arm_compute::CLBatchNormalizationLayer::validate(&amp;aclInputInfo,</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;                                                            &amp;aclOutputInfo,</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                                                            &amp;aclMeanInfo,</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                                                            &amp;aclVarInfo,</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                                                            &amp;aclBetaInfo,</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                                                            &amp;aclGammaInfo,</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                                                            desc.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">m_Eps</a>);</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;</div><div class="line"><a name="l00048"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#aac07dfdbdb811f1686342400d36a95c4">   48</a></span>&#160;<a class="code" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#aac07dfdbdb811f1686342400d36a95c4">ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload</a>(</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html">BatchNormalizationQueueDescriptor</a>&amp; descriptor, <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>&amp; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>)</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    : <a class="code" href="classarmnn_1_1_typed_workload.html">FloatWorkload</a>&lt;<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html">BatchNormalizationQueueDescriptor</a>&gt;(descriptor, info)</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;{</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    m_Mean = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    BuildArmComputeTensor(*m_Mean, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Mean-&gt;GetTensorInfo());</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    m_Variance = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    BuildArmComputeTensor(*m_Variance, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Variance-&gt;GetTensorInfo());</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;    m_Gamma = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    BuildArmComputeTensor(*m_Gamma, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Gamma-&gt;GetTensorInfo());</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">   61</span>&#160;    m_Beta = std::make_unique&lt;arm_compute::CLTensor&gt;();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    BuildArmComputeTensor(*m_Beta, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Beta-&gt;GetTensorInfo());</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a765d2cee4ccce5b9467e0c2b6d25b84a">ValidateInputsOutputs</a>(<span class="stringliteral">&quot;ClBatchNormalizationFloatWorkload&quot;</span>, 1, 1);</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;    arm_compute::ICLTensor&amp; input  = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">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="l00067"></a><span class="lineno">   67</span>&#160;    arm_compute::ICLTensor&amp; output = <span class="keyword">static_cast&lt;</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">&gt;</span>(<a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">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="l00068"></a><span class="lineno">   68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</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#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Parameters.m_DataLayout);</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    input.info()-&gt;set_data_layout(aclDataLayout);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    output.info()-&gt;set_data_layout(aclDataLayout);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    m_Layer.configure(&amp;input,</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                      &amp;output,</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                      m_Mean.get(),</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                      m_Variance.get(),</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                      m_Beta.get(),</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                      m_Gamma.get(),</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                      <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Parameters.m_Eps);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    <a class="code" href="namespacearmnn.html#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_Mean, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Mean);</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <a class="code" href="namespacearmnn.html#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_Variance, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Variance);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <a class="code" href="namespacearmnn.html#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_Beta, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Beta);</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;    <a class="code" href="namespacearmnn.html#a46747c3d0b99968be0b37d74bc9687dd">InitializeArmComputeClTensorData</a>(*m_Gamma, <a class="code" href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">m_Data</a>.m_Gamma);</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    <span class="comment">// Force Compute Library to perform the necessary copying and reshaping, after which</span></div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="comment">// delete all the input tensors that will no longer be needed</span></div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    m_Layer.prepare();</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    FreeUnusedTensors();</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;}</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">   92</a></span>&#160;<span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">ClBatchNormalizationFloatWorkload::Execute</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;<span class="keyword"></span>{</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <a class="code" href="_cl_workload_utils_8hpp.html#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a>(<span class="stringliteral">&quot;ClBatchNormalizationFloatWorkload_Execute&quot;</span>);</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    <a class="code" href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">RunClFunction</a>(m_Layer, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;}</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;<span class="keywordtype">void</span> ClBatchNormalizationFloatWorkload::FreeUnusedTensors()</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;{</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    FreeTensorIfUnused(m_Mean);</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    FreeTensorIfUnused(m_Variance);</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    FreeTensorIfUnused(m_Gamma);</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    FreeTensorIfUnused(m_Beta);</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;}</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;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_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#l00052">Workload.hpp:52</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_cl_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_i_cl_tensor_handle.html">armnn::IClTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cl_tensor_handle_8hpp_source.html#l00025">ClTensorHandle.hpp:25</a></div></div>
+<div class="ttc" id="namespacearmnn_html_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &amp;function, const CheckLocation &amp;location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00131">ClWorkloadUtils.hpp:131</a></div></div>
+<div class="ttc" id="namespacearmnn_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#l00026">Types.hpp:26</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
+<div class="ttc" id="namespacearmnn_html_a46747c3d0b99968be0b37d74bc9687dd"><div class="ttname"><a href="namespacearmnn.html#a46747c3d0b99968be0b37d74bc9687dd">armnn::InitializeArmComputeClTensorData</a></div><div class="ttdeci">void InitializeArmComputeClTensorData(arm_compute::CLTensor &amp;clTensor, const ConstCpuTensorHandle *handle)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00090">ClWorkloadUtils.hpp:90</a></div></div>
+<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>
+<div class="ttc" id="classarmnn_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#l00053">Tensor.hpp:53</a></div></div>
+<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>
+<div class="ttc" id="_cl_layer_support_8hpp_html"><div class="ttname"><a href="_cl_layer_support_8hpp.html">ClLayerSupport.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_cl_batch_normalization_float_workload_html_aac07dfdbdb811f1686342400d36a95c4"><div class="ttname"><a href="classarmnn_1_1_cl_batch_normalization_float_workload.html#aac07dfdbdb811f1686342400d36a95c4">armnn::ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload</a></div><div class="ttdeci">ClBatchNormalizationFloatWorkload(const BatchNormalizationQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00048">ClBatchNormalizationFloatWorkload.cpp:48</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
+<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>
+<div class="ttc" id="_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</a></div></div>
+<div class="ttc" id="_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
+<div class="ttc" id="_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_workload_html_a0a487c549c63319505095b855ea3c195"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#a0a487c549c63319505095b855ea3c195">armnn::BaseWorkload::m_Data</a></div><div class="ttdeci">const QueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00046">Workload.hpp:46</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html_a11c821c7524251004a72ed13c510853c"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">armnn::BatchNormalizationDescriptor::m_Eps</a></div><div class="ttdeci">float m_Eps</div><div class="ttdoc">Value to add to the variance. Used to avoid dividing by zero. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00623">Descriptors.hpp:623</a></div></div>
+<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>
+<div class="ttc" id="structarmnn_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#l00459">WorkloadData.cpp:459</a></div></div>
+<div class="ttc" id="namespacearmnn_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#l00048">Types.hpp:48</a></div></div>
+<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_cl_batch_normalization_float_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::ClBatchNormalizationFloatWorkload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00092">ClBatchNormalizationFloatWorkload.cpp:92</a></div></div>
+<div class="ttc" id="structarmnn_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#l00031">WorkloadData.hpp:31</a></div></div>
+<div class="ttc" id="structarmnn_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#l00030">WorkloadData.hpp:30</a></div></div>
+<div class="ttc" id="structarmnn_1_1_batch_normalization_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::BatchNormalizationDescriptor::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#l00625">Descriptors.hpp:625</a></div></div>
+<div class="ttc" id="namespacearmnn_html_ad6cb42ca5150bb96c151e4a4e6557d70"><div class="ttname"><a href="namespacearmnn.html#ad6cb42ca5150bb96c151e4a4e6557d70">armnn::ClBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchNormalizationValidate(const TensorInfo &amp;input, const TensorInfo &amp;output, const TensorInfo &amp;mean, const TensorInfo &amp;var, const TensorInfo &amp;beta, const TensorInfo &amp;gamma, const BatchNormalizationDescriptor &amp;desc)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00018">ClBatchNormalizationFloatWorkload.cpp:18</a></div></div>
+<div class="ttc" id="_cl_workload_utils_8hpp_html_a9166fc90a3ea47a2c9499a810b204daf"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a9166fc90a3ea47a2c9499a810b204daf">ARMNN_SCOPED_PROFILING_EVENT_CL</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL(name)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00020">ClWorkloadUtils.hpp:20</a></div></div>
+<div class="ttc" id="_cl_batch_normalization_float_workload_8hpp_html"><div class="ttname"><a href="_cl_batch_normalization_float_workload_8hpp.html">ClBatchNormalizationFloatWorkload.hpp</a></div></div>
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