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<div class="title">ClBatchNormalizationFloatWorkload.cpp</div> </div>
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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> <span class="comment">//</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2018,2020-2023 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>  </div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_cl_batch_normalization_float_workload_8hpp.html">ClBatchNormalizationFloatWorkload.hpp</a>"</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.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="_arm_compute_tensor_utils_8hpp.html">aclCommon/ArmComputeTensorUtils.hpp</a>></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_arm_compute_utils_8hpp.html">aclCommon/ArmComputeUtils.hpp</a>></span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</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="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_cl_layer_support_8hpp.html">cl/ClLayerSupport.hpp</a>></span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_cl_tensor_handle_8hpp.html">cl/ClTensorHandle.hpp</a>></span></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> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> {</div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">using namespace </span>armcomputetensorutils;</div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>  </div>
<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be"> 19</a></span> <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70b">arm_compute::Status</a> <a class="code" href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be">ClBatchNormalizationValidate</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& input,</div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& output,</div>
<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& mean,</div>
<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& var,</div>
<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& beta,</div>
<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& gamma,</div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html">BatchNormalizationDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_activation_descriptor.html">ActivationDescriptor</a>* activationDescriptor)</div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> {</div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> arm_compute::TensorInfo aclInputInfo =</div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  armcomputetensorutils::BuildArmComputeTensorInfo(input, descriptor.<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>  <span class="keyword">const</span> arm_compute::TensorInfo aclOutputInfo =</div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  armcomputetensorutils::BuildArmComputeTensorInfo(output, descriptor.<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>  <span class="keyword">const</span> arm_compute::TensorInfo aclMeanInfo =</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  armcomputetensorutils::BuildArmComputeTensorInfo(mean, descriptor.<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>  <span class="keyword">const</span> arm_compute::TensorInfo aclVarInfo =</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  armcomputetensorutils::BuildArmComputeTensorInfo(var, descriptor.<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>  <span class="keyword">const</span> arm_compute::TensorInfo aclBetaInfo =</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  armcomputetensorutils::BuildArmComputeTensorInfo(beta, descriptor.<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>  <span class="keyword">const</span> arm_compute::TensorInfo aclGammaInfo =</div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  armcomputetensorutils::BuildArmComputeTensorInfo(gamma, descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a>);</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  </div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">ConvertActivationDescriptorToAclActivationLayerInfo</a>(</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  activationDescriptor);</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>  <span class="keywordflow">return</span> arm_compute::CLBatchNormalizationLayer::validate(&aclInputInfo,</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  &aclOutputInfo,</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  &aclMeanInfo,</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  &aclVarInfo,</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  &aclBetaInfo,</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  &aclGammaInfo,</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  descriptor.<a class="code" href="structarmnn_1_1_batch_normalization_descriptor.html#a11c821c7524251004a72ed13c510853c">m_Eps</a>,</div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  activationInfo);</div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div>
<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div>
<div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#acbf138c2d354ba4cfff11f42753f6e2e"> 54</a></span> <a class="code" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#acbf138c2d354ba4cfff11f42753f6e2e">ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload</a>(</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html">BatchNormalizationQueueDescriptor</a>& descriptor,</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">WorkloadInfo</a>& info,</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">const</span> arm_compute::CLCompileContext& clCompileContext)</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  : <a class="code" href="classarmnn_1_1_typed_workload.html">FloatWorkload</a><<a class="code" href="structarmnn_1_1_batch_normalization_queue_descriptor.html">BatchNormalizationQueueDescriptor</a>>(descriptor, <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</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="comment">// Report Profiling Details</span></div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="_profiling_8hpp.html#a786492a3881a4c760ab1eec2149f4aba">ARMNN_REPORT_PROFILING_WORKLOAD_DESC</a>(<span class="stringliteral">"ClBatchNormalizationWorkload_Construct"</span>,</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>,</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>,</div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  this->GetGuid());</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>  m_Mean = std::make_unique<arm_compute::CLTensor>();</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  BuildArmComputeTensor(*m_Mean, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Mean->GetTensorInfo());</div>
<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  </div>
<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  m_Variance = std::make_unique<arm_compute::CLTensor>();</div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  BuildArmComputeTensor(*m_Variance, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Variance->GetTensorInfo());</div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  </div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  m_Gamma = std::make_unique<arm_compute::CLTensor>();</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  BuildArmComputeTensor(*m_Gamma, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Gamma->GetTensorInfo());</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  m_Beta = std::make_unique<arm_compute::CLTensor>();</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  BuildArmComputeTensor(*m_Beta, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Beta->GetTensorInfo());</div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  </div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <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">"ClBatchNormalizationFloatWorkload"</span>, 1, 1);</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  </div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  arm_compute::ICLTensor& input = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<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])->GetTensor();</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  arm_compute::ICLTensor& output = <span class="keyword">static_cast<</span><a class="code" href="classarmnn_1_1_i_cl_tensor_handle.html">IClTensorHandle</a>*<span class="keyword">></span>(<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])->GetTensor();</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <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="l00084"></a><span class="lineno"> 84</span>  input.info()->set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  output.info()->set_data_layout(aclDataLayout);</div>
<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  </div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> arm_compute::ActivationLayerInfo activationInfo = <a class="code" href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">ConvertAdditionalInfoToAclActivationLayerInfo</a>(descriptor);</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>  {</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClBatchNormalizationFloatWorkload_configure"</span>);</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  m_Layer.configure(clCompileContext,</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  &input,</div>
<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  &output,</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  m_Mean.get(),</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  m_Variance.get(),</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  m_Beta.get(),</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  m_Gamma.get(),</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_Eps,</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  activationInfo);</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  </div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_Mean, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Mean);</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_Variance, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Variance);</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_Beta, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Beta);</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="namespacearmnn.html#a0eec4a463a166fad55307d9f26ba3a68">InitializeArmComputeClTensorData</a>(*m_Gamma, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Gamma);</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Force Compute Library to perform the necessary copying and reshaping, after which</span></div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// delete all the input tensors that will no longer be needed</span></div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  m_Layer.prepare();</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  FreeUnusedTensors();</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  </div>
<div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ae071e8822437c78baea75c3aef3a263a"> 113</a></span> <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="l00114"></a><span class="lineno"> 114</span> <span class="keyword"></span>{</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a>(<span class="stringliteral">"ClBatchNormalizationFloatWorkload_Execute"</span>);</div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <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="l00117"></a><span class="lineno"> 117</span> }</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  </div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keywordtype">void</span> ClBatchNormalizationFloatWorkload::FreeUnusedTensors()</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span> {</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  FreeTensorIfUnused(m_Mean);</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  FreeTensorIfUnused(m_Variance);</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  FreeTensorIfUnused(m_Gamma);</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  FreeTensorIfUnused(m_Beta);</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> }</div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  </div>
<div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837"> 127</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837">ClBatchNormalizationFloatWorkload::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="l00128"></a><span class="lineno"> 128</span> {</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* backupHandle = this-><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="l00130"></a><span class="lineno"> 130</span>  this-><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="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">try</span></div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  {</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  Reconfigure();</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>& e)</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  {</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  this-><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="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">throw</span> e;</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span> }</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  </div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="comment">// Replace output tensor handle with the given TensorHandle</span></div>
<div class="line"><a name="l00144"></a><span class="lineno"><a class="line" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd"> 144</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_cl_batch_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd">ClBatchNormalizationFloatWorkload::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="l00145"></a><span class="lineno"> 145</span> {</div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classarmnn_1_1_i_tensor_handle.html">ITensorHandle</a>* backupHandle = this-><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="l00147"></a><span class="lineno"> 147</span>  this-><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="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">try</span></div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  {</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  Reconfigure();</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  }</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <span class="keywordflow">catch</span>(<a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>& e)</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  {</div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Cannot reconfigure, revert the slot back and throw the exception.</span></div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  this-><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="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">throw</span> e;</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  }</div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  </div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="keywordtype">void</span> ClBatchNormalizationFloatWorkload::Reconfigure()</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span> {</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_unimplemented_exception.html">armnn::UnimplementedException</a>(<span class="stringliteral">"Reconfigure not implemented for this workload"</span>);</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> }</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  </div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> } <span class="comment">//namespace armnn</span></div>
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<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="anamespacearmnn_html_aff5bee79757341daf750c7dd7c123a15"><div class="ttname"><a href="namespacearmnn.html#aff5bee79757341daf750c7dd7c123a15">armnn::RunClFunction</a></div><div class="ttdeci">void RunClFunction(arm_compute::IFunction &function, const CheckLocation &location)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_workload_utils_8hpp_source.html#l00168">ClWorkloadUtils.hpp:168</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="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div>
<div class="ttc" id="astructarmnn_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#l00843">Descriptors.hpp:843</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="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 &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="anamespacearmnn_html_abfb0841058a8190d30851f07eca3991f"><div class="ttname"><a href="namespacearmnn.html#abfb0841058a8190d30851f07eca3991f">armnn::ConvertAdditionalInfoToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertAdditionalInfoToAclActivationLayerInfo(const QueueDescriptor &queueDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00105">ArmComputeUtils.hpp:105</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="a_cl_layer_support_8hpp_html"><div class="ttname"><a href="_cl_layer_support_8hpp.html">ClLayerSupport.hpp</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_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="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="a_cl_workload_utils_8hpp_html_a2d57ef1645138f5f8a6dbd2ce92dc072"><div class="ttname"><a href="_cl_workload_utils_8hpp.html#a2d57ef1645138f5f8a6dbd2ce92dc072">ARMNN_SCOPED_PROFILING_EVENT_CL_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_CL_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="_cl_workload_utils_8hpp_source.html#l00036">ClWorkloadUtils.hpp:36</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_cl_workload_utils_8hpp_html"><div class="ttname"><a href="_cl_workload_utils_8hpp.html">ClWorkloadUtils.hpp</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_batch_normalization_float_workload_html_ab0a67f8179ddb997dda0070a6661f837"><div class="ttname"><a href="classarmnn_1_1_cl_batch_normalization_float_workload.html#ab0a67f8179ddb997dda0070a6661f837">armnn::ClBatchNormalizationFloatWorkload::ReplaceInputTensorHandle</a></div><div class="ttdeci">void ReplaceInputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00127">ClBatchNormalizationFloatWorkload.cpp:127</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_ad701d0d29baa4266ab4d33b090aa661c"><div class="ttname"><a href="namespacearmnn.html#ad701d0d29baa4266ab4d33b090aa661c">armnn::ConvertActivationDescriptorToAclActivationLayerInfo</a></div><div class="ttdeci">arm_compute::ActivationLayerInfo ConvertActivationDescriptorToAclActivationLayerInfo(const ActivationDescriptor &actDesc)</div><div class="ttdef"><b>Definition:</b> <a href="_arm_compute_utils_8hpp_source.html#l00087">ArmComputeUtils.hpp:87</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_batch_normalization_float_workload_html_acc08590544f05c641d21c724aedf26dd"><div class="ttname"><a href="classarmnn_1_1_cl_batch_normalization_float_workload.html#acc08590544f05c641d21c724aedf26dd">armnn::ClBatchNormalizationFloatWorkload::ReplaceOutputTensorHandle</a></div><div class="ttdeci">void ReplaceOutputTensorHandle(ITensorHandle *tensorHandle, unsigned int slot) override</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00144">ClBatchNormalizationFloatWorkload.cpp:144</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>
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<div class="ttc" id="a_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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<div class="ttc" id="a_cl_tensor_handle_8hpp_html"><div class="ttname"><a href="_cl_tensor_handle_8hpp.html">ClTensorHandle.hpp</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="anamespacearmnn_html_a29bd65c1ec4ff9f75b636ec8e7b038be"><div class="ttname"><a href="namespacearmnn.html#a29bd65c1ec4ff9f75b636ec8e7b038be">armnn::ClBatchNormalizationValidate</a></div><div class="ttdeci">arm_compute::Status ClBatchNormalizationValidate(const TensorInfo &input, const TensorInfo &output, const TensorInfo &mean, const TensorInfo &var, const TensorInfo &beta, const TensorInfo &gamma, const BatchNormalizationDescriptor &descriptor, const ActivationDescriptor *activationDescriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00019">ClBatchNormalizationFloatWorkload.cpp:19</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="a_arm_compute_tensor_utils_8hpp_html"><div class="ttname"><a href="_arm_compute_tensor_utils_8hpp.html">ArmComputeTensorUtils.hpp</a></div></div>
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<div class="ttc" id="astructarmnn_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#l00841">Descriptors.hpp:841</a></div></div>
<div class="ttc" id="aclassarmnn_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#l00113">ClBatchNormalizationFloatWorkload.cpp:113</a></div></div>
<div class="ttc" id="aclassarmnn_1_1_cl_batch_normalization_float_workload_html_acbf138c2d354ba4cfff11f42753f6e2e"><div class="ttname"><a href="classarmnn_1_1_cl_batch_normalization_float_workload.html#acbf138c2d354ba4cfff11f42753f6e2e">armnn::ClBatchNormalizationFloatWorkload::ClBatchNormalizationFloatWorkload</a></div><div class="ttdeci">ClBatchNormalizationFloatWorkload(const BatchNormalizationQueueDescriptor &descriptor, const WorkloadInfo &info, const arm_compute::CLCompileContext &clCompileContext)</div><div class="ttdef"><b>Definition:</b> <a href="_cl_batch_normalization_float_workload_8cpp_source.html#l00054">ClBatchNormalizationFloatWorkload.cpp:54</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< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div>
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