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+<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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_stack_test_impl_8hpp.xhtml">StackTestImpl.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_layer_test_result_8hpp.xhtml">LayerTestResult.hpp</a>&quot;</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;</div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_i_backend_internal_8hpp.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_copy_utils_8hpp.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>&gt;</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> outputDimLength&gt;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, outputDimLength&gt;</a> StackTestHelper(</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>&amp; tensorHandleFactory,</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputTensorInfo,</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputTensorInfo,</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis,</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;        <span class="keyword">const</span> std::vector&lt;std::vector&lt;T&gt;&gt;&amp; inputData,</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;        <span class="keyword">const</span> std::vector&lt;T&gt;&amp; outputExpectedData)</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numInputs = <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(inputData.size());</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    std::vector&lt;std::vector&lt;T&gt;&gt; inputs;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numInputs; ++i)</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    {</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;        inputs.emplace_back(inputData[i]);</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    }</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;    std::vector&lt;T&gt; actualOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    std::vector&lt;std::unique_ptr&lt;armnn::ITensorHandle&gt;&gt; inputHandles;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numInputs; ++i)</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    {</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        inputHandles.push_back(tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo));</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    }</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <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>&#160;    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>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <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>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; numInputs; ++i)</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    {</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        std::unique_ptr&lt;armnn::ITensorHandle&gt;&amp; inputHandle = inputHandles[i];</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        inputHandle-&gt;Allocate();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), inputs[i].data());</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    }</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    outputHandle-&gt;Allocate();</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    workload-&gt;Execute();</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, outputDimLength&gt;</a>(actualOutput,</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                                               outputExpectedData,</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                                               outputHandle-&gt;GetShape(),</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                                               outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;}</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;<span class="comment">// Implementation templates</span></div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00087"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#a0c69a1a7923839f98d8528d55f9da3d5">   87</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a0c69a1a7923839f98d8528d55f9da3d5">StackAxis0TestImpl</a>(</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>&amp; tensorHandleFactory)</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;{</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <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="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    std::vector&lt;std::vector&lt;T&gt;&gt; inputData;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    {</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        16, 17, 18</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    });</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    {</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        34, 35, 36</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    });</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    std::vector&lt;T&gt; outputExpectedData =</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;    {</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        16, 17, 18,</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;        34, 35, 36</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    };</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    <span class="keywordflow">return</span> StackTestHelper&lt;ArmnnType, T, 4&gt;(</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        workloadFactory,</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;        memoryManager,</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        tensorHandleFactory,</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        inputTensorInfo,</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        outputTensorInfo,</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        0U,</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        inputData,</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        outputExpectedData</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    );</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;}</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00156"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#a46f7153df5d1c0256b8caff36a20f543">  156</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a46f7153df5d1c0256b8caff36a20f543">StackOutput4DAxis1TestImpl</a>(</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>&amp; tensorHandleFactory)</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;{</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <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="l00163"></a><span class="lineno">  163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    std::vector&lt;std::vector&lt;T&gt;&gt; inputData;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    {</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;        16, 17, 18</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    });</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    {</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;        34, 35, 36</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    });</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    std::vector&lt;T&gt; outputExpectedData =</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    {</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;        16, 17, 18,</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;        34, 35, 36</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    };</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <span class="keywordflow">return</span> StackTestHelper&lt;ArmnnType, T, 4&gt;(</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;        workloadFactory,</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;        memoryManager,</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;        tensorHandleFactory,</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;        inputTensorInfo,</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;        outputTensorInfo,</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;        1U,</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;        inputData,</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;        outputExpectedData</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    );</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;}</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00226"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#a347abac52a2996998429be987be8565b">  226</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a347abac52a2996998429be987be8565b">StackOutput4DAxis2TestImpl</a>(</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>&amp; tensorHandleFactory)</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;{</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    <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="l00233"></a><span class="lineno">  233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    std::vector&lt;std::vector&lt;T&gt;&gt; inputData;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    {</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;        16, 17, 18</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    });</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    {</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        34, 35, 36</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    });</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    std::vector&lt;T&gt; outputExpectedData =</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;    {</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;        16, 17, 18,</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;        34, 35, 36</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    };</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;    <span class="keywordflow">return</span> StackTestHelper&lt;ArmnnType, T, 4&gt;(</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;        workloadFactory,</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        memoryManager,</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;        tensorHandleFactory,</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;        inputTensorInfo,</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;        outputTensorInfo,</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;        2U,</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;        inputData,</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;        outputExpectedData</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    );</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;}</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00294"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#a10e4fe92167c11a2539405d5a006bf84">  294</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a10e4fe92167c11a2539405d5a006bf84">StackOutput4DAxis3TestImpl</a>(</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>&amp; tensorHandleFactory)</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;{</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 2, 3 }, ArmnnType);</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;    <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="l00301"></a><span class="lineno">  301</span>&#160;</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    std::vector&lt;std::vector&lt;T&gt;&gt; inputData;</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;    {</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;        16, 17, 18</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;    });</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    {</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;        34, 35, 36</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;    });</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;    std::vector&lt;T&gt; outputExpectedData =</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    {</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;        1, 19,</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;        2, 20,</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;        3, 21,</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;        4, 22,</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;        5, 23,</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;        6, 24,</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;        7, 25,</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;        8, 26,</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;        9, 27,</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;        10, 28,</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;        11, 29,</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;        12, 30,</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;        13, 31,</div><div class="line"><a name="l00349"></a><span class="lineno">  349</span>&#160;        14, 32,</div><div class="line"><a name="l00350"></a><span class="lineno">  350</span>&#160;        15, 33,</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;        16, 34,</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;        17, 35,</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;        18, 36</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;    };</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    <span class="keywordflow">return</span> StackTestHelper&lt;ArmnnType, T, 4&gt;(</div><div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;        workloadFactory,</div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        memoryManager,</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;        tensorHandleFactory,</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;        inputTensorInfo,</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;        outputTensorInfo,</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;        3U,</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;        inputData,</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;        outputExpectedData</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    );</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;}</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#a10e9aa6527f51a4c18042f648d8e3be4">  370</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 3&gt;</a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a10e9aa6527f51a4c18042f648d8e3be4">StackOutput3DInputs3TestImpl</a>(</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>&amp; tensorHandleFactory)</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;{</div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo ({ 3, 3 }, ArmnnType);</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo({ 3, 3, 3 }, ArmnnType);</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;    std::vector&lt;std::vector&lt;T&gt;&gt; inputData;</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;    {</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;        7, 8, 9</div><div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;    });</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    {</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;        16, 17, 18</div><div class="line"><a name="l00392"></a><span class="lineno">  392</span>&#160;    });</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;    inputData.push_back(</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    {</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;        25, 26, 27</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;    });</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;    std::vector&lt;T&gt; outputExpectedData =</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    {</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;        22, 23, 24,</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;</div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;        16, 17, 18,</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;        25, 26, 27</div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;    };</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    <span class="keywordflow">return</span> StackTestHelper&lt;ArmnnType, T, 3&gt;(</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;        workloadFactory,</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;        memoryManager,</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;        tensorHandleFactory,</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;        inputTensorInfo,</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;        outputTensorInfo,</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;        1U,</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;        inputData,</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;        outputExpectedData</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;    );</div><div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;}</div><div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;</div><div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00429"></a><span class="lineno"><a class="line" href="_stack_test_impl_8cpp.xhtml#a5182b0d4d4fd8dbfd562146c06065e59">  429</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 5&gt;</a> <a class="code" href="_stack_test_impl_8cpp.xhtml#a5182b0d4d4fd8dbfd562146c06065e59">StackOutput5DTestImpl</a>(</div><div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>&amp; tensorHandleFactory)</div><div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;{</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;    <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="l00435"></a><span class="lineno">  435</span>&#160; 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       7, 8, 9,</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;</div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;        16, 17, 18,</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;</div><div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;        19, 20, 21,</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;        22, 23, 24</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;    });</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;</div><div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160; 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       43, 44, 45,</div><div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;        46, 47, 48</div><div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;    });</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    std::vector&lt;T&gt; outputExpectedData =</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    {</div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;        1, 2, 3,</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;        4, 5, 6,</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;        7, 8, 9,</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;        10, 11, 12,</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;</div><div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;        25, 26, 27,</div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;        28, 29, 30,</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;</div><div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;        31, 32, 33,</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;        34, 35, 36,</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;        13, 14, 15,</div><div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;        16, 17, 18,</div><div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;</div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160; 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+<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
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+<div class="ttc" id="_stack_test_impl_8cpp_xhtml_a10e9aa6527f51a4c18042f648d8e3be4"><div class="ttname"><a href="_stack_test_impl_8cpp.xhtml#a10e9aa6527f51a4c18042f648d8e3be4">StackOutput3DInputs3TestImpl</a></div><div class="ttdeci">LayerTestResult&lt; T, 3 &gt; StackOutput3DInputs3TestImpl(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_stack_test_impl_8cpp_source.xhtml#l00370">StackTestImpl.cpp:370</a></div></div>
+<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 TensorInfos of 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>
+<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo) const =0</div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
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+    <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_stack_test_impl_8cpp.xhtml">StackTestImpl.cpp</a></li>
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