Updating Doxygen documentation for 20.05 release.
Change-Id: I4d624343ed5fd6ae269c3d53532903084508fd14
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+<div class="title">DivisionTestImpl.cpp</div> </div>
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+<a href="_division_test_impl_8cpp.xhtml">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 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">#include "<a class="code" href="_division_test_impl_8hpp.xhtml">DivisionTestImpl.hpp</a>"</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="_elementwise_test_impl_8hpp.xhtml">ElementwiseTestImpl.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="keyword">template</span><></div><div class="line"><a name="l00011"></a><span class="lineno"><a class="line" href="_division_test_impl_8cpp.xhtml#afaae70402fa37637d28397769b9a8ff6"> 11</a></span> std::unique_ptr<armnn::IWorkload> CreateWorkload<armnn::DivisionQueueDescriptor>(</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a>& info,</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_division_queue_descriptor.xhtml">armnn::DivisionQueueDescriptor</a>& descriptor)</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> {</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  <span class="keywordflow">return</span> workloadFactory.CreateDivision(descriptor, info);</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</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"><a class="line" href="_division_test_impl_8hpp.xhtml#afd429b00b6869309e768fc7ecdc1d3aa"> 19</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#afd429b00b6869309e768fc7ecdc1d3aa">DivisionByZeroTest</a>(</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</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_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2u;</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  std::vector<float> input0 =</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  1.f, 1.f, 1.f, 1.f, 0.f, 0.f, 0.f, 0.f,</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  -1.f, -1.f, -1.f, -1.f, 5.f, 5.f, 5.f, 5.f</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  };</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  std::vector<float> input1 =</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  0.f, 0.f, -0.f, -0.f, 0.f, 0.f, -0.f, -0.f,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  0.f, 0.f, -0.f, -0.f, 5.f, 5.f, 5.f, 5.f</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  };</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::vector<float> output =</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  INFINITY, INFINITY, -INFINITY, -INFINITY, NAN, NAN, -NAN, -NAN,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  -INFINITY, -INFINITY, INFINITY, INFINITY, 1, 1, 1, 1</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> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  workloadFactory,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  memoryManager,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  shape,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  input0,</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  shape,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  input1,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  shape,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  output);</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> </div><div class="line"><a name="l00060"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#a0ffe3f6f1297b8dc4c3f49389933c7d8"> 60</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#a0ffe3f6f1297b8dc4c3f49389933c7d8">DivisionTest</a>(</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2u;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> </div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  std::vector<float> input0 =</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  {</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  2.f, 2.f, 2.f, 2.f, 3.f, 3.f, 3.f, 3.f,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  4.f, 4.f, 4.f, 4.f, 5.f, 5.f, 5.f, 5.f</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  };</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>  std::vector<float> input1 =</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  1.f, 1.f, 1.f, 1.f, 2.f, 2.f, 2.f, 2.f,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  4.f, 4.f, 4.f, 4.f, 4.f, 4.f, 4.f, 4.f</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> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  std::vector<float> output =</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  {</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  2.f, 2.f, 2.f, 2.f, 1.50f, 1.50f, 1.50f, 1.50f,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  1.f, 1.f, 1.f, 1.f, 1.25f, 1.25f, 1.25f, 1.25f</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  };</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  workloadFactory,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  memoryManager,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  shape,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  input0,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  shape,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  input1,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  shape,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  output);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#ab4698982570cfa37dad688623fc7c1d8"> 100</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#ab4698982570cfa37dad688623fc7c1d8">DivisionBroadcast1ElementTest</a>(</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</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>  std::vector<float> input0({ 2, 4, 6, 8, 10, 12, 14, 16});</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  std::vector<float> input1({ 2 });</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  std::vector<float> output({ 1, 2, 3, 4, 5, 6, 7, 8});</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  workloadFactory,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  memoryManager,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  shape0,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  input0,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  shape1,</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  input1,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  shape0,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  output);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> }</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#a888a7d50e58a8fb5fee7ad1ae11df736"> 124</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#a888a7d50e58a8fb5fee7ad1ae11df736">DivisionBroadcast1DVectorTest</a>(</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 3, 3, 2 };</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 2 };</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  std::vector<float> input0 =</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>  1.f, 4.f, 3.f, 8.f, 5.f, 12.f,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  7.f, 16.f, 9.f, 20.f, 11.f, 24.f,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  13.f, 28.f, 15.f, 32.f, 17.f, 36.f</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> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  std::vector<float> input1 = { 1.f, 2.f };</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::vector<float> output =</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>  1.f, 2.f, 3.f, 4.f, 5.f, 6.f,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  7.f, 8.f, 9.f, 10.f, 11.f, 12.f,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  13.f, 14.f, 15.f, 16.f, 17.f, 18.f</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> </div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float32>(</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  workloadFactory,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  memoryManager,</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  shape0,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  input0,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  shape1,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  input1,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  shape0,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  output);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> }</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div><div class="line"><a name="l00158"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#af05106a201d16d82f4336d4128dabc5a"> 158</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#af05106a201d16d82f4336d4128dabc5a">DivisionFloat16Test</a>(</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</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="keyword">using namespace </span>half_float::literal;</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>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2u;</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> </div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::vector<armnn::Half> input0 =</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  2._h, 2._h, 2._h, 2._h, 3._h, 3._h, 3._h, 3._h,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  4._h, 4._h, 4._h, 4._h, 5._h, 5._h, 5._h, 5._h</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  };</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  std::vector<armnn::Half> input1 =</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  {</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  1._h, 1._h, 1._h, 1._h, 2._h, 2._h, 2._h, 2._h,</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  4._h, 4._h, 4._h, 4._h, 4._h, 4._h, 4._h, 4._h</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  };</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> </div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  std::vector<armnn::Half> output =</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  {</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  2._h, 2._h, 2._h, 2._h, 1.50_h, 1.50_h, 1.50_h, 1.50_h,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  1._h, 1._h, 1._h, 1._h, 1.25_h, 1.25_h, 1.25_h, 1.25_h</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  };</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float16>(</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  workloadFactory,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  memoryManager,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  shape,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  input0,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  shape,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  input1,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  shape,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  output);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> }</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div><div class="line"><a name="l00200"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#a31b65e3c39f135d3c866a2f8e5d1851c"> 200</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#a31b65e3c39f135d3c866a2f8e5d1851c">DivisionBroadcast1ElementFloat16Test</a>(</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> {</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  std::vector<armnn::Half> input0({ 2._h, 4._h, 6._h, 8._h, 10._h, 12._h, 14._h, 16._h});</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  std::vector<armnn::Half> input1({ 2._h });</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  std::vector<armnn::Half> output({ 1._h, 2._h, 3._h, 4._h, 5._h, 6._h, 7._h, 8._h});</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float16>(</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  workloadFactory,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  memoryManager,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  shape0,</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  input0,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  shape1,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  input1,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  shape0,</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  output);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> }</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#a49be4bd470666e2191940689f15747b8"> 226</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#a49be4bd470666e2191940689f15747b8">DivisionBroadcast1DVectorFloat16Test</a>(</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span> {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 3, 3, 2 };</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 2 };</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  std::vector<armnn::Half> input0 =</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  {</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  1._h, 4._h, 3._h, 8._h, 5._h, 12._h,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  7._h, 16._h, 9._h, 20._h, 11._h, 24._h,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  13._h, 28._h, 15._h, 32._h, 17._h, 36._h</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  };</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span> </div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  std::vector<armnn::Half> input1 = { 1._h, 2._h };</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> </div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  std::vector<armnn::Half> output =</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  1._h, 2._h, 3._h, 4._h, 5._h, 6._h,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  7._h, 8._h, 9._h, 10._h, 11._h, 12._h,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  13._h, 14._h, 15._h, 16._h, 17._h, 18._h</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  };</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::Float16>(</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  workloadFactory,</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  memoryManager,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  shape0,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  input0,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  shape1,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  input1,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  shape0,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  output);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> }</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#a0ca6d4aa8a25096570e7fb724e282483"> 262</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#a0ca6d4aa8a25096570e7fb724e282483">DivisionUint8Test</a>(</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 2u;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channelCount = 2u;</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> </div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channelCount, height, width };</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  std::vector<uint8_t> input0 =</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  {</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  2, 2, 2, 2, 3, 3, 3, 3,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  4, 4, 4, 4, 5, 5, 5, 5</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  };</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  std::vector<uint8_t> input1 =</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  1, 1, 1, 1, 2, 2, 2, 2,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  4, 4, 4, 4, 4, 4, 4, 4</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  };</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  {</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  8, 8, 8, 8, 6, 6, 6, 6,</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  4, 4, 4, 4, 5, 5, 5, 5</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  };</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  workloadFactory,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  memoryManager,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  shape,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  input0,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  shape,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  input1,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  shape,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  output,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  0.25f,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  0);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00304"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#a7905aab5acadb38374fa416e2a3f0ccf"> 304</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#a7905aab5acadb38374fa416e2a3f0ccf">DivisionBroadcast1ElementUint8Test</a>(</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span> {</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> </div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  std::vector<uint8_t> input0 = { 2, 4, 6, 8, 10, 12, 14, 16};</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> </div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  std::vector<uint8_t> input1 = { 2 };</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  std::vector<uint8_t> output = { 1, 2, 3, 4, 5, 6, 7, 8};</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span> </div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  workloadFactory,</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  memoryManager,</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  shape0,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  input0,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  shape1,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  input1,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  shape0,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  output);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> }</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#afb7ebe6c4afbc0f9a6b39dff2b57a98a"> 328</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#afb7ebe6c4afbc0f9a6b39dff2b57a98a">DivisionBroadcast1DVectorUint8Test</a>(</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 3, 3, 2 };</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 2 };</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  std::vector<uint8_t> input0 =</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  {</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  1, 4, 3, 8, 5, 12,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  7, 16, 9, 20, 11, 24,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  13, 28, 15, 32, 17, 36</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  };</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  std::vector<uint8_t> input1 = { 1, 2 };</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  std::vector<uint8_t> output =</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  7, 8, 9, 10, 11, 12,</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  13, 14, 15, 16, 17, 18</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  };</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  workloadFactory,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  memoryManager,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  shape0,</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  input0,</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  shape1,</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  input1,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  shape0,</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  output);</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> }</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> </div><div class="line"><a name="l00362"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#aaff7696d97c4e9e1ab541430b327d2c1"> 362</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t,4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#aaff7696d97c4e9e1ab541430b327d2c1">DivisionInt16Test</a>(</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span> {</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { 2, 2, 2, 2 };</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> </div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  2, 2, 2, 2, 3, 3, 3, 3,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  4, 4, 4, 4, 5, 5, 5, 5</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  };</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  std::vector<int16_t> input1 =</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  {</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  1, 1, 1, 1, 2, 2, 2, 2,</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  4, 4, 4, 4, 4, 4, 4, 4</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  };</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  std::vector<int16_t> output =</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  {</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  8, 8, 8, 8, 6, 6, 6, 6,</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  4, 4, 4, 4, 5, 5, 5, 5</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  };</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span> </div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  workloadFactory,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  memoryManager,</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  shape,</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  input0,</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  shape,</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  input1,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  shape,</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  output,</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  0.25f,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  0);</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span> }</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#aa1cc1413993d9ab16a948712e0cf8e31"> 399</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#aa1cc1413993d9ab16a948712e0cf8e31">DivisionBroadcast1ElementInt16Test</a>(</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span> {</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 1 };</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  std::vector<int16_t> input0 = { 2, 4, 6, 8, 10, 12, 14, 16};</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span> </div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  std::vector<int16_t> input1 = { 2 };</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  std::vector<int16_t> output = { 1, 2, 3, 4, 5, 6, 7, 8};</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  workloadFactory,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  memoryManager,</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  shape0,</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  input0,</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  shape1,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  input1,</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  shape0,</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  output);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> }</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"><a class="line" href="_division_test_impl_8hpp.xhtml#a12c7eadab87314b7d4d02c7d0dd03542"> 423</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_division_test_impl_8cpp.xhtml#a12c7eadab87314b7d4d02c7d0dd03542">DivisionBroadcast1DVectorInt16Test</a>(</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager)</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> {</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 3, 3, 2 };</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 1, 1, 2 };</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  std::vector<int16_t> input0 =</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  {</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  1, 4, 3, 8, 5, 12,</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>  7, 16, 9, 20, 11, 24,</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  13, 28, 15, 32, 17, 36</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  };</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  std::vector<int16_t> input1 = { 1, 2 };</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  std::vector<int16_t> output =</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  {</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  1, 2, 3, 4, 5, 6,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  7, 8, 9, 10, 11, 12,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  13, 14, 15, 16, 17, 18</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  };</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">return</span> ElementwiseTestHelper<4, armnn::DivisionQueueDescriptor, armnn::DataType::QSymmS16>(</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  workloadFactory,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  memoryManager,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>  shape0,</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  input0,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  shape1,</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  input1,</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  shape0,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  output);</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span> }</div><div class="ttc" id="_division_test_impl_8cpp_xhtml_a888a7d50e58a8fb5fee7ad1ae11df736"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#a888a7d50e58a8fb5fee7ad1ae11df736">DivisionBroadcast1DVectorTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > DivisionBroadcast1DVectorTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00124">DivisionTestImpl.cpp:124</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_a31b65e3c39f135d3c866a2f8e5d1851c"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#a31b65e3c39f135d3c866a2f8e5d1851c">DivisionBroadcast1ElementFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > DivisionBroadcast1ElementFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00200">DivisionTestImpl.cpp:200</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_aaff7696d97c4e9e1ab541430b327d2c1"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#aaff7696d97c4e9e1ab541430b327d2c1">DivisionInt16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > DivisionInt16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00362">DivisionTestImpl.cpp:362</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &&...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
+<div class="ttc" id="structarmnn_1_1_division_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_division_queue_descriptor.xhtml">armnn::DivisionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00228">WorkloadData.hpp:228</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_a49be4bd470666e2191940689f15747b8"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#a49be4bd470666e2191940689f15747b8">DivisionBroadcast1DVectorFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > DivisionBroadcast1DVectorFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00226">DivisionTestImpl.cpp:226</a></div></div>
+<div class="ttc" id="_elementwise_test_impl_8hpp_xhtml"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml">ElementwiseTestImpl.hpp</a></div></div>
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+<div class="ttc" id="_division_test_impl_8cpp_xhtml_aa1cc1413993d9ab16a948712e0cf8e31"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#aa1cc1413993d9ab16a948712e0cf8e31">DivisionBroadcast1ElementInt16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > DivisionBroadcast1ElementInt16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00399">DivisionTestImpl.cpp:399</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_a0ca6d4aa8a25096570e7fb724e282483"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#a0ca6d4aa8a25096570e7fb724e282483">DivisionUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > DivisionUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00262">DivisionTestImpl.cpp:262</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_af05106a201d16d82f4336d4128dabc5a"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#af05106a201d16d82f4336d4128dabc5a">DivisionFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > DivisionFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00158">DivisionTestImpl.cpp:158</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_a0ffe3f6f1297b8dc4c3f49389933c7d8"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#a0ffe3f6f1297b8dc4c3f49389933c7d8">DivisionTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > DivisionTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00060">DivisionTestImpl.cpp:60</a></div></div>
+<div class="ttc" id="_division_test_impl_8hpp_xhtml"><div class="ttname"><a href="_division_test_impl_8hpp.xhtml">DivisionTestImpl.hpp</a></div></div>
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+<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
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+<div class="ttc" id="_division_test_impl_8cpp_xhtml_a12c7eadab87314b7d4d02c7d0dd03542"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#a12c7eadab87314b7d4d02c7d0dd03542">DivisionBroadcast1DVectorInt16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > DivisionBroadcast1DVectorInt16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00423">DivisionTestImpl.cpp:423</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_afb7ebe6c4afbc0f9a6b39dff2b57a98a"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#afb7ebe6c4afbc0f9a6b39dff2b57a98a">DivisionBroadcast1DVectorUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > DivisionBroadcast1DVectorUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00328">DivisionTestImpl.cpp:328</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_a7905aab5acadb38374fa416e2a3f0ccf"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#a7905aab5acadb38374fa416e2a3f0ccf">DivisionBroadcast1ElementUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > DivisionBroadcast1ElementUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00304">DivisionTestImpl.cpp:304</a></div></div>
+<div class="ttc" id="_division_test_impl_8cpp_xhtml_ab4698982570cfa37dad688623fc7c1d8"><div class="ttname"><a href="_division_test_impl_8cpp.xhtml#ab4698982570cfa37dad688623fc7c1d8">DivisionBroadcast1ElementTest</a></div><div class="ttdeci">LayerTestResult< float, 4 > DivisionBroadcast1ElementTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_division_test_impl_8cpp_source.xhtml#l00100">DivisionTestImpl.cpp:100</a></div></div>
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