| 101 | <a href="_stack_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 © 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">#include "<a class="code" href="_stack_test_impl_8hpp.xhtml">StackTestImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="preprocessor">#include "<a class="code" href="_layer_test_result_8hpp.xhtml">LayerTestResult.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="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>></span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</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="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_workload_factory_8hpp.xhtml">backendsCommon/WorkloadFactory.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="preprocessor">#include <<a class="code" href="_tensor_copy_utils_8hpp.xhtml">backendsCommon/test/TensorCopyUtils.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_test_utils_8hpp.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></span></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> <span class="preprocessor">#include <<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>></span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> </div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</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="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> outputDimLength></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, outputDimLength></a> StackTestHelper(</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</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="l00027"></a><span class="lineno"> 27</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& inputTensorInfo,</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_tensor_info.xhtml">armnn::TensorInfo</a>& outputTensorInfo,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keyword">const</span> std::vector<std::vector<T>>& inputData,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> std::vector<T>& outputExpectedData)</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>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs = <span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(inputData.size());</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  std::vector<boost::multi_array<T, outputDimLength-1>> inputs;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputs; ++i)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  inputs.push_back(MakeTensor<T, outputDimLength-1>(inputTensorInfo, inputData[i]));</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  }</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>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, outputDimLength></a> result(outputTensorInfo);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  result.outputExpected = MakeTensor<T, outputDimLength>(outputTensorInfo, outputExpectedData);</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>  std::vector<std::unique_ptr<armnn::ITensorHandle>> inputHandles;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputs; ++i)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  inputHandles.push_back(workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo));</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>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</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>  <a class="code" href="structarmnn_1_1_stack_queue_descriptor.xhtml">armnn::StackQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#ab218de7805899c8412d75d1fd1d846d2">m_Axis</a> = axis;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#a2bea87b470268bb0b73457c3733dbc04">m_InputShape</a> = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_stack_descriptor.xhtml#aed6086070440ceb94129bef06f70173f">m_NumInputs</a> = numInputs;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < numInputs; ++i)</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>  std::unique_ptr<armnn::ITensorHandle>& inputHandle = inputHandles[i];</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  inputHandle->Allocate();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), inputs[i].origin());</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> </div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  outputHandle->Allocate();</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#aa06423ce3f34e4ec2d336889f8c0d79a">CreateStack</a>(descriptor, info);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  workload->Execute();</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>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(result.output.origin(), outputHandle.get());</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> result;</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> } <span class="comment">// anonymous namespace</span></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> <span class="comment">//</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment">// Implementation templates</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment">//</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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#ad827fddaf3b34d39dbd9fe53c8b16698"> 84</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#ad827fddaf3b34d39dbd9fe53c8b16698">StackAxis0TestImpl</a>(</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</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="l00087"></a><span class="lineno"> 87</span> {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 2, 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  std::vector<std::vector<T>> inputData;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  inputData.push_back(</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  1, 2, 3,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  4, 5, 6,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  7, 8, 9,</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  10, 11, 12,</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>  13, 14, 15,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  16, 17, 18</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> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  inputData.push_back(</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>  19, 20, 21,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  22, 23, 24,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  25, 26, 27,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  28, 29, 30,</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>  31, 32, 33,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  34, 35, 36</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  });</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  std::vector<T> outputExpectedData =</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>  1, 2, 3,</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  4, 5, 6,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  7, 8, 9,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  10, 11, 12,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  13, 14, 15,</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  16, 17, 18,</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> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  19, 20, 21,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  22, 23, 24,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  25, 26, 27,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  28, 29, 30,</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>  31, 32, 33,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  34, 35, 36</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> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> StackTestHelper<ArmnnType, T, 4>(</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  workloadFactory,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  memoryManager,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  inputTensorInfo,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  outputTensorInfo,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  0U,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  inputData,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  outputExpectedData</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  );</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#aa9dabae1cd96c559a609ebf53adffe76"> 151</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#aa9dabae1cd96c559a609ebf53adffe76">StackOutput4DAxis1TestImpl</a>(</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</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="l00154"></a><span class="lineno"> 154</span> {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 3, 2, 2, 3 }, ArmnnType);</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>  std::vector<std::vector<T>> inputData;</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>  inputData.push_back(</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>  1, 2, 3,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  4, 5, 6,</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>  7, 8, 9,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  10, 11, 12,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> </div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  13, 14, 15,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  16, 17, 18</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> </div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  inputData.push_back(</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  19, 20, 21,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  22, 23, 24,</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>  25, 26, 27,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  28, 29, 30,</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  31, 32, 33,</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  34, 35, 36</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> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  std::vector<T> outputExpectedData =</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  1, 2, 3,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  4, 5, 6,</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>  19, 20, 21,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  22, 23, 24,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  7, 8, 9,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  10, 11, 12,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  25, 26, 27,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  28, 29, 30,</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"> 200</span>  13, 14, 15,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  16, 17, 18,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  31, 32, 33,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  34, 35, 36</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> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="keywordflow">return</span> StackTestHelper<ArmnnType, T, 4>(</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  workloadFactory,</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  memoryManager,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  inputTensorInfo,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  outputTensorInfo,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  1U,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  inputData,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  outputExpectedData</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  );</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span> }</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00219"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#ae0e059bdd40e04bac6d76b4afef97de5"> 219</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#ae0e059bdd40e04bac6d76b4afef97de5">StackOutput4DAxis2TestImpl</a>(</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</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="l00222"></a><span class="lineno"> 222</span> {</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 3, 2, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  std::vector<std::vector<T>> inputData;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  inputData.push_back(</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>  1, 2, 3,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  4, 5, 6,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  7, 8, 9,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  10, 11, 12,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  13, 14, 15,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  16, 17, 18</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  });</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> </div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  inputData.push_back(</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>  19, 20, 21,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  22, 23, 24,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  25, 26, 27,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  28, 29, 30,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span> </div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  31, 32, 33,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  34, 35, 36</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> </div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  std::vector<T> outputExpectedData =</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  {</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  1, 2, 3,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  19, 20, 21,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  4, 5, 6,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  22, 23, 24,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  7, 8, 9,</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  25, 26, 27,</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  10, 11, 12,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  28, 29, 30,</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>  13, 14, 15,</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  31, 32, 33,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  16, 17, 18,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  34, 35, 36</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  };</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>  <span class="keywordflow">return</span> StackTestHelper<ArmnnType, T, 4>(</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  workloadFactory,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  memoryManager,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  inputTensorInfo,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  outputTensorInfo,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  2U,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  inputData,</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  outputExpectedData</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  );</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span> }</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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00285"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#a6ad2c96882fc66321bb6c6bb7ad796cb"> 285</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a6ad2c96882fc66321bb6c6bb7ad796cb">StackOutput4DAxis3TestImpl</a>(</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</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="l00288"></a><span class="lineno"> 288</span> {</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 3, 2, 3, 2 }, ArmnnType);</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span> </div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  std::vector<std::vector<T>> inputData;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  inputData.push_back(</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  1, 2, 3,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  4, 5, 6,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  7, 8, 9,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  10, 11, 12,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  13, 14, 15,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  16, 17, 18</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  });</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  inputData.push_back(</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>  19, 20, 21,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  22, 23, 24,</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>  25, 26, 27,</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  28, 29, 30,</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  31, 32, 33,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  34, 35, 36</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> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  std::vector<T> outputExpectedData =</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  1, 19,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  2, 20,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  3, 21,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  4, 22,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  5, 23,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  6, 24,</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  7, 25,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  8, 26,</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  9, 27,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  10, 28,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  11, 29,</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  12, 30,</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> </div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  13, 31,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  14, 32,</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  15, 33,</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>  16, 34,</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  17, 35,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  18, 36</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> </div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keywordflow">return</span> StackTestHelper<ArmnnType, T, 4>(</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>  workloadFactory,</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  memoryManager,</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  inputTensorInfo,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  outputTensorInfo,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  3U,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  inputData,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  outputExpectedData</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  );</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> }</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#adbcf56208e4bec3b2827d3370f557387"> 359</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 3></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#adbcf56208e4bec3b2827d3370f557387">StackOutput3DInputs3TestImpl</a>(</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</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="l00362"></a><span class="lineno"> 362</span> {</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 3 }, ArmnnType);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 3, 3, 3 }, ArmnnType);</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>  std::vector<std::vector<T>> inputData;</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>  inputData.push_back(</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>  1, 2, 3,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  4, 5, 6,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  7, 8, 9</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> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  inputData.push_back(</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  {</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  10, 11, 12,</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  13, 14, 15,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  16, 17, 18</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  });</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>  inputData.push_back(</div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span>  {</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  19, 20, 21,</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  22, 23, 24,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  25, 26, 27</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  });</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span> </div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  std::vector<T> outputExpectedData =</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  {</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  1, 2, 3,</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  10, 11, 12,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  19, 20, 21,</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> </div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  4, 5, 6,</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>  13, 14, 15,</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  22, 23, 24,</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  7, 8, 9,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  16, 17, 18,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>  25, 26, 27</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> </div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">return</span> StackTestHelper<ArmnnType, T, 3>(</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  workloadFactory,</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  memoryManager,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  inputTensorInfo,</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  outputTensorInfo,</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  1U,</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  inputData,</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  outputExpectedData</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  );</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span> }</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00416"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#aebb0e7da1a827ff748aa5d1873323119"> 416</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 5></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#aebb0e7da1a827ff748aa5d1873323119">StackOutput5DTestImpl</a>(</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</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="l00419"></a><span class="lineno"> 419</span> {</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 2, 2, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 2, 2, 2, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  std::vector<std::vector<T>> inputData;</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> </div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  inputData.push_back(</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>  1, 2, 3,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  4, 5, 6,</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>  7, 8, 9,</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  10, 11, 12,</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  13, 14, 15,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  16, 17, 18,</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>  19, 20, 21,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  22, 23, 24</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  });</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>  inputData.push_back(</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  {</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  25, 26, 27,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  28, 29, 30,</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>  31, 32, 33,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  34, 35, 36,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  37, 38, 39,</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  40, 41, 42,</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> </div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  43, 44, 45,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  46, 47, 48</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  });</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span> </div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  std::vector<T> outputExpectedData =</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  {</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  1, 2, 3,</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  4, 5, 6,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span> </div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  7, 8, 9,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  10, 11, 12,</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  25, 26, 27,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  28, 29, 30,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> </div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  31, 32, 33,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  34, 35, 36,</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span> </div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span> </div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> </div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  13, 14, 15,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  16, 17, 18,</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span> </div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  19, 20, 21,</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  22, 23, 24,</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> </div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  37, 38, 39,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  40, 41, 42,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  43, 44, 45,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  46, 47, 48</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span> </div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  };</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">return</span> StackTestHelper<ArmnnType, T, 5>(</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  workloadFactory,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  memoryManager,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  inputTensorInfo,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  outputTensorInfo,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  1U,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  inputData,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  outputExpectedData</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  );</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span> }</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> <span class="comment">//</span></div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> <span class="comment">// Implementation functions</span></div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> <span class="comment">//</span></div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div><div class="line"><a name="l00504"></a><span class="lineno"><a class="line" href="_stack_test_impl_8hpp.xhtml#a1eed6d24cd5e53b21c3081e398dc5335"> 504</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a1eed6d24cd5e53b21c3081e398dc5335">StackAxis0Float32Test</a>(</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</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="l00507"></a><span class="lineno"> 507</span> {</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keywordflow">return</span> StackAxis0TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> }</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span> </div><div class="line"><a name="l00511"></a><span class="lineno"><a class="line" href="_stack_test_impl_8hpp.xhtml#a4fbfd0d54ab880e5a1a46432673888e1"> 511</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a4fbfd0d54ab880e5a1a46432673888e1">StackOutput4DAxis1Float32Test</a>(</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</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="l00514"></a><span class="lineno"> 514</span> {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <span class="keywordflow">return</span> StackOutput4DAxis1TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span> }</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"><a class="line" href="_stack_test_impl_8hpp.xhtml#ae7f53e5d743d37cae77b4481de35a2e4"> 518</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#ae7f53e5d743d37cae77b4481de35a2e4">StackOutput4DAxis2Float32Test</a>(</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</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="l00521"></a><span class="lineno"> 521</span> {</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <span class="keywordflow">return</span> StackOutput4DAxis2TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span> }</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00525"></a><span class="lineno"><a class="line" href="_stack_test_impl_8hpp.xhtml#a0a5868382cc85aa0461fb27428bbc0b5"> 525</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a0a5868382cc85aa0461fb27428bbc0b5">StackOutput4DAxis3Float32Test</a>(</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</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="l00528"></a><span class="lineno"> 528</span> {</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  <span class="keywordflow">return</span> StackOutput4DAxis3TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> }</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00532"></a><span class="lineno"><a class="line" href="_stack_test_impl_8hpp.xhtml#a31c91a13d5bd6e60fdb22fcab131e0cc"> 532</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 3></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a31c91a13d5bd6e60fdb22fcab131e0cc">StackOutput3DInputs3Float32Test</a>(</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</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="l00535"></a><span class="lineno"> 535</span> {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  <span class="keywordflow">return</span> StackOutput3DInputs3TestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> }</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span> </div><div class="line"><a name="l00539"></a><span class="lineno"><a class="line" href="_stack_test_impl_8hpp.xhtml#a34b0c55684f6c59314d62916c628dd11"> 539</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 5></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a34b0c55684f6c59314d62916c628dd11">StackOutput5DFloat32Test</a>(</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</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="l00542"></a><span class="lineno"> 542</span> {</div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">return</span> StackOutput5DTestImpl<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> }</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"><a class="line" href="_stack_test_impl_8hpp.xhtml#a80764e491b5a12e5184780be13c42fec"> 546</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a80764e491b5a12e5184780be13c42fec">StackFloat16Test</a>(</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</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="l00549"></a><span class="lineno"> 549</span> {</div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keyword">using namespace </span>half_float::literal;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span> </div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 3, 2, 2, 3 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>  std::vector<std::vector<armnn::Half>> inputData;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  inputData.push_back(</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  {</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  1.0_h, 2.0_h, 3.0_h,</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  4.0_h, 5.0_h, 6.0_h,</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span> </div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  7.0_h, 8.0_h, 9.0_h,</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>  10.0_h, 11.0_h, 12.0_h,</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span> </div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  13.0_h, 14.0_h, 15.0_h,</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  16.0_h, 17.0_h, 18.0_h</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  });</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  inputData.push_back(</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  {</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  19.0_h, 20.0_h, 21.0_h,</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  22.0_h, 23.0_h, 24.0_h,</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span> </div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  25.0_h, 26.0_h, 27.0_h,</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  28.0_h, 29.0_h, 30.0_h,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span> </div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  31.0_h, 32.0_h, 33.0_h,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  34.0_h, 35.0_h, 36.0_h</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  });</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span> </div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  std::vector<armnn::Half> outputExpectedData =</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  {</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  1.0_h, 2.0_h, 3.0_h,</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  19.0_h, 20.0_h, 21.0_h,</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> </div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  4.0_h, 5.0_h, 6.0_h,</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  22.0_h, 23.0_h, 24.0_h,</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span> </div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  7.0_h, 8.0_h, 9.0_h,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  25.0_h, 26.0_h, 27.0_h,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span> </div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  10.0_h, 11.0_h, 12.0_h,</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  28.0_h, 29.0_h, 30.0_h,</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  13.0_h, 14.0_h, 15.0_h,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  31.0_h, 32.0_h, 33.0_h,</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span> </div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  16.0_h, 17.0_h, 18.0_h,</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  34.0_h, 35.0_h, 36.0_h</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  };</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  <span class="keywordflow">return</span> StackTestHelper<armnn::DataType::Float16, armnn::Half, 4>(</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  workloadFactory,</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  memoryManager,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  inputTensorInfo,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  outputTensorInfo,</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  2U,</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  inputData,</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  outputExpectedData</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  );</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span> }</div><div class="ttc" id="_stack_test_impl_8cpp_xhtml_a31c91a13d5bd6e60fdb22fcab131e0cc"><div class="ttname"><a href="_stack_test_impl_8cpp.xhtml#a31c91a13d5bd6e60fdb22fcab131e0cc">StackOutput3DInputs3Float32Test</a></div><div class="ttdeci">LayerTestResult< float, 3 > StackOutput3DInputs3Float32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_stack_test_impl_8cpp_source.xhtml#l00532">StackTestImpl.cpp:532</a></div></div> |