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<a href="_elementwise_unary_test_impl_8hpp.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 © 2019 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_layer_test_result_8hpp.html">LayerTestResult.hpp</a>"</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_arm_n_n_8hpp.html">armnn/ArmNN.hpp</a>></span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="preprocessor">#include <<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">armnn/backends/IBackendInternal.hpp</a>></span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_workload_8hpp.html">backendsCommon/Workload.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_workload_data_8hpp.html">backendsCommon/WorkloadData.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_data_type_utils_8hpp.html">backendsCommon/test/DataTypeUtils.hpp</a>></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include <<a class="code" href="_tensor_copy_utils_8hpp.html">backendsCommon/test/TensorCopyUtils.hpp</a>></span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <<a class="code" href="_workload_test_utils_8hpp.html">backendsCommon/test/WorkloadTestUtils.hpp</a>></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> </div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <<a class="code" href="_tensor_helpers_8hpp.html">test/TensorHelpers.hpp</a>></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <memory></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> std::unique_ptr<armnn::IWorkload> <a class="code" href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>(</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a>& info,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_elementwise_unary_queue_descriptor.html">armnn::ElementwiseUnaryQueueDescriptor</a>& descriptor);</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> </div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">template</span> <std::size_t NumDims,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnType></a>></div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="_elementwise_unary_test_impl_8hpp.html#ae8395748ad75142a364a99296a7a9fa0"> 35</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, NumDims></a> <a class="code" href="_elementwise_unary_test_impl_8hpp.html#ae8395748ad75142a364a99296a7a9fa0">ElementwiseUnaryTestHelper</a>(</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & workloadFactory,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & memoryManager,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a> op,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[NumDims],</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  std::vector<float> values,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordtype">float</span> quantScale,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordtype">int</span> quantOffset,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outShape[NumDims],</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  std::vector<float> outValues,</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordtype">int</span> outQuantOffset)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo{NumDims, shape, ArmnnType};</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo{NumDims, outShape, ArmnnType};</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantScale);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  inputTensorInfo.SetQuantizationOffset(quantOffset);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  outputTensorInfo.SetQuantizationScale(outQuantScale);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  outputTensorInfo.SetQuantizationOffset(outQuantOffset);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> </div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keyword">auto</span> input = MakeTensor<T, NumDims>(inputTensorInfo, ConvertToDataType<ArmnnType>(values, inputTensorInfo));</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, NumDims></a> ret(outputTensorInfo);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a> desc(op);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <a class="code" href="structarmnn_1_1_elementwise_unary_queue_descriptor.html">armnn::ElementwiseUnaryQueueDescriptor</a> qDesc;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  qDesc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = desc;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  AddInputToWorkload(qDesc, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  AddOutputToWorkload(qDesc, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keyword">auto</span> workload = <a class="code" href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>(workloadFactory, info, qDesc);</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>  inputHandle->Allocate();</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  outputHandle->Allocate();</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>  <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.origin());</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  ExecuteWorkload(*workload, memoryManager);</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>  <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.<a class="code" href="struct_layer_test_result.html#ac9d44d346bb7c89f7a7aa31d2bee947f">output</a>.origin(), outputHandle.get());</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  ret.<a class="code" href="struct_layer_test_result.html#a73610ea6c776cc66e5a78dd842a39b8b">outputExpected</a> = MakeTensor<T, NumDims>(outputTensorInfo, ConvertToDataType<ArmnnType>(outValues,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  inputTensorInfo));</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="keyword">template</span> <std::size_t NumDims,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnType></a>></div><div class="line"><a name="l00090"></a><span class="lineno"><a class="line" href="_elementwise_unary_test_impl_8hpp.html#ae2c54699203437d012a0ee00ca1e29a8"> 90</a></span> <a class="code" href="struct_layer_test_result.html">LayerTestResult<T, NumDims></a> <a class="code" href="_elementwise_unary_test_impl_8hpp.html#ae8395748ad75142a364a99296a7a9fa0">ElementwiseUnaryTestHelper</a>(</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> & workloadFactory,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & memoryManager,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a> op,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[NumDims],</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  std::vector<float> values,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outShape[NumDims],</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  std::vector<float> outValues,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">float</span> quantScale = 1.0f,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="keywordtype">int</span> quantOffset = 0)</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>  <span class="keywordflow">return</span> ElementwiseUnaryTestHelper<NumDims, ArmnnType>(</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  workloadFactory,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  memoryManager,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  op,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  shape,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  values,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  quantScale,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  quantOffset,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  outShape,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  outValues,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  quantScale,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  quantOffset);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> }</div><div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_elementwise_unary_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_queue_descriptor.html">armnn::ElementwiseUnaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00564">WorkloadData.hpp:564</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
<div class="ttc" id="structarmnn_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#l00049">WorkloadData.hpp:49</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="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
<div class="ttc" id="_arm_n_n_8hpp_html"><div class="ttname"><a href="_arm_n_n_8hpp.html">ArmNN.hpp</a></div></div>
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<div class="ttc" id="classarmnn_1_1_i_backend_internal_html_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr< IMemoryManager > IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div>
<div class="ttc" id="struct_layer_test_result_html_ac9d44d346bb7c89f7a7aa31d2bee947f"><div class="ttname"><a href="struct_layer_test_result.html#ac9d44d346bb7c89f7a7aa31d2bee947f">LayerTestResult::output</a></div><div class="ttdeci">boost::multi_array< T, n > output</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult.hpp:40</a></div></div>
<div class="ttc" id="_workload_8hpp_html"><div class="ttname"><a href="_workload_8hpp.html">Workload.hpp</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="namespacearmnn_html_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl< DT >::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.html#l00066">ResolveType.hpp:66</a></div></div>
<div class="ttc" id="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00082">Descriptors.hpp:82</a></div></div>
<div class="ttc" id="_elementwise_unary_test_impl_8hpp_html_ae8395748ad75142a364a99296a7a9fa0"><div class="ttname"><a href="_elementwise_unary_test_impl_8hpp.html#ae8395748ad75142a364a99296a7a9fa0">ElementwiseUnaryTestHelper</a></div><div class="ttdeci">LayerTestResult< T, NumDims > ElementwiseUnaryTestHelper(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, armnn::UnaryOperation op, const unsigned int shape[NumDims], std::vector< float > values, float quantScale, int quantOffset, const unsigned int outShape[NumDims], std::vector< float > outValues, float outQuantScale, int outQuantOffset)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_unary_test_impl_8hpp_source.html#l00035">ElementwiseUnaryTestImpl.hpp:35</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00259">Tensor.cpp:259</a></div></div>
<div class="ttc" id="struct_layer_test_result_html_a73610ea6c776cc66e5a78dd842a39b8b"><div class="ttname"><a href="struct_layer_test_result.html#a73610ea6c776cc66e5a78dd842a39b8b">LayerTestResult::outputExpected</a></div><div class="ttdeci">boost::multi_array< T, n > outputExpected</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult.hpp:41</a></div></div>
<div class="ttc" id="_workload_data_8hpp_html"><div class="ttname"><a href="_workload_data_8hpp.html">WorkloadData.hpp</a></div></div>
<div class="ttc" id="_workload_test_utils_8hpp_html"><div class="ttname"><a href="_workload_test_utils_8hpp.html">WorkloadTestUtils.hpp</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_html_a1cfaa710db2a54673b21d2ea2da757c8"><div class="ttname"><a href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a></div><div class="ttdeci">UnaryOperation</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00084">Types.hpp:84</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="_elementwise_unary_test_impl_8hpp_html_aa50938ed8f91e09acd4af904dcf5543a"><div class="ttname"><a href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr< armnn::IWorkload > CreateWorkload(const armnn::IWorkloadFactory &workloadFactory, const armnn::WorkloadInfo &info, const armnn::ElementwiseUnaryQueueDescriptor &descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_unary_test_impl_8cpp_source.html#l00008">ElementwiseUnaryTestImpl.cpp:8</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8hpp_html"><div class="ttname"><a href="_tensor_copy_utils_8hpp.html">TensorCopyUtils.hpp</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_html"><div class="ttname"><a href="_tensor_helpers_8hpp.html">TensorHelpers.hpp</a></div></div>
<div class="ttc" id="_data_type_utils_8hpp_html"><div class="ttname"><a href="_data_type_utils_8hpp.html">DataTypeUtils.hpp</a></div></div>
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