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<div class="title">MeanTestImpl.hpp</div>  </div>
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<a href="_mean_test_impl_8hpp.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 © 2017 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">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</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="l00009"></a><span class="lineno">    9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno">   10</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="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="include_2armnn_2backends_2_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="keyword">namespace</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;{</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="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T, std::<span class="keywordtype">size_t</span> InputDim, std::<span class="keywordtype">size_t</span> OutputDim&gt;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, OutputDim&gt;</a> MeanTestHelper(</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00021"></a><span class="lineno">   21</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="l00022"></a><span class="lineno">   22</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="l00023"></a><span class="lineno">   23</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* inputShape,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;        <span class="keyword">const</span> std::vector&lt;float&gt;&amp; inputData,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;        <span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; axis,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;        <span class="keywordtype">bool</span> keepDims,</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>* outputShape,</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;        <span class="keyword">const</span> std::vector&lt;float&gt;&amp; outputData,</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;        <span class="keywordtype">float</span> scale = 1.0f,</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;        int32_t offset = 0)</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;{</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</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="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(InputDim, inputShape, ArmnnType);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(OutputDim, outputShape, ArmnnType);</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;    inputTensorInfo.SetQuantizationScale(scale);</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    inputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    outputTensorInfo.SetQuantizationScale(scale);</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    outputTensorInfo.SetQuantizationOffset(offset);</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    <span class="keyword">auto</span> input = MakeTensor&lt;T, InputDim&gt;(inputTensorInfo, ConvertToDataType&lt;ArmnnType&gt;(inputData, inputTensorInfo));</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, OutputDim&gt;</a> result(outputTensorInfo);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    result.outputExpected = MakeTensor&lt;T, OutputDim&gt;(</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;            outputTensorInfo, ConvertToDataType&lt;ArmnnType&gt;(outputData, outputTensorInfo));</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; inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</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="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <a class="code" href="structarmnn_1_1_mean_queue_descriptor.xhtml">armnn::MeanQueueDescriptor</a> data;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">m_Axis</a> = axis;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a> = keepDims;</div><div class="line"><a name="l00055"></a><span class="lineno">   55</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="l00056"></a><span class="lineno">   56</span>&#160;    AddInputToWorkload(data,  info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ac63f8f12f80efbe37b789d1540649470">CreateMean</a>(data, info);</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</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;    outputHandle-&gt;Allocate();</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;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.origin());</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    workload-&gt;Execute();</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(result.output.origin(), outputHandle.get());</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;}</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="comment">// anonymous namespace</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</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="l00077"></a><span class="lineno"><a class="line" href="_mean_test_impl_8hpp.xhtml#a69b8c28d02d85743f838a3885db82325">   77</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 1&gt;</a> <a class="code" href="_mean_test_impl_8hpp.xhtml#a69b8c28d02d85743f838a3885db82325">MeanSimpleTest</a>(</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00079"></a><span class="lineno">   79</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="l00080"></a><span class="lineno">   80</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="l00081"></a><span class="lineno">   81</span>&#160;{</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 3, 2 };</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1 };</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    std::vector&lt;float&gt; input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f });</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    std::vector&lt;float&gt; output({ 2.5f });</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">return</span> MeanTestHelper&lt;ArmnnType, T, 2, 1&gt;(</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, {}, <span class="keyword">false</span>, outputShape, output);</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;}</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;<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="l00093"></a><span class="lineno"><a class="line" href="_mean_test_impl_8hpp.xhtml#aafef158279b909750a201d2862ba8676">   93</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 3&gt;</a> <a class="code" href="_mean_test_impl_8hpp.xhtml#aafef158279b909750a201d2862ba8676">MeanSimpleAxisTest</a>(</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00095"></a><span class="lineno">   95</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="l00096"></a><span class="lineno">   96</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="l00097"></a><span class="lineno">   97</span>&#160;{</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 3, 1, 2 };</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 3, 1, 2 };</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    std::vector&lt;float&gt; input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f });</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    std::vector&lt;float&gt; output({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f });</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">return</span> MeanTestHelper&lt;ArmnnType, T, 4, 3&gt;(</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, { 0 }, <span class="keyword">false</span>, outputShape, output);</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;}</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;<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="l00109"></a><span class="lineno"><a class="line" href="_mean_test_impl_8hpp.xhtml#a3a53d279ba97472317514f009274e29d">  109</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_mean_test_impl_8hpp.xhtml#a3a53d279ba97472317514f009274e29d">MeanKeepDimsTest</a>(</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00111"></a><span class="lineno">  111</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="l00112"></a><span class="lineno">  112</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="l00113"></a><span class="lineno">  113</span>&#160;{</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 1, 3, 2 };</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 1, 1, 2 };</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;    std::vector&lt;float&gt; input({ 1.5f, 1.5f, 2.5f, 2.5f, 3.5f, 3.5f });</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    std::vector&lt;float&gt; output({ 2.5f, 2.5f });</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;    <span class="keywordflow">return</span> MeanTestHelper&lt;ArmnnType, T, 4, 4&gt;(</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, { 2 }, <span class="keyword">true</span>, outputShape, output);</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;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</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="l00125"></a><span class="lineno"><a class="line" href="_mean_test_impl_8hpp.xhtml#a9746d3b66711274be95c1528f6bc9b90">  125</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_mean_test_impl_8hpp.xhtml#a9746d3b66711274be95c1528f6bc9b90">MeanMultipleDimsTest</a>(</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00127"></a><span class="lineno">  127</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="l00128"></a><span class="lineno">  128</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="l00129"></a><span class="lineno">  129</span>&#160;{</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 3, 1, 2 };</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 3, 1, 1 };</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;    std::vector&lt;float&gt; input({ 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5f, 1.5f, 2.5f, 3.5f, 4.5f, 5.5f, 6.5 });</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    std::vector&lt;float&gt; output({ 2.0f, 4.0f, 6.0f });</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;    <span class="keywordflow">return</span> MeanTestHelper&lt;ArmnnType, T, 4, 4&gt;(</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;            workloadFactory, memoryManager, tensorHandleFactory,</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;            inputShape, input, { 0, 3 }, <span class="keyword">true</span>, outputShape, output);</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;}</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;</div><div class="line"><a name="l00141"></a><span class="lineno">  141</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="l00142"></a><span class="lineno"><a class="line" href="_mean_test_impl_8hpp.xhtml#aec0529cbc32e7cfe1784c1c2e6a1f156">  142</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 1&gt;</a> <a class="code" href="_mean_test_impl_8hpp.xhtml#aec0529cbc32e7cfe1784c1c2e6a1f156">MeanVts1Test</a>(</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00144"></a><span class="lineno">  144</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="l00145"></a><span class="lineno">  145</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="l00146"></a><span class="lineno">  146</span>&#160;{</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 4, 3, 2 };</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2 };</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    std::vector&lt;float&gt; input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f,</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;                               15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f });</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    std::vector&lt;float&gt; output({ 12.0f, 13.0f });</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;    <span class="keywordflow">return</span> MeanTestHelper&lt;ArmnnType, T, 3, 1&gt;(</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;            workloadFactory, memoryManager, tensorHandleFactory,</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;            inputShape, input, { 0, 1 }, <span class="keyword">false</span>, outputShape, output);</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;}</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno">  159</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="l00160"></a><span class="lineno"><a class="line" href="_mean_test_impl_8hpp.xhtml#a4b253a23a15c15fdd9c8c5b1b2ce582c">  160</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 3&gt;</a> <a class="code" href="_mean_test_impl_8hpp.xhtml#a4b253a23a15c15fdd9c8c5b1b2ce582c">MeanVts2Test</a>(</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00162"></a><span class="lineno">  162</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="l00163"></a><span class="lineno">  163</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="l00164"></a><span class="lineno">  164</span>&#160;{</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 4, 3, 2 };</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 3, 1 };</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;    std::vector&lt;float&gt; input({ 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f, 11.0f, 12.0f, 13.0f, 14.0f,</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                               15.0f, 16.0f, 17.0f, 18.0f, 19.0f, 20.0f, 21.0f, 22.0f, 23.0f, 24.0f });</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    std::vector&lt;float&gt; output({ 10.5f, 12.5f, 14.5f });</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="keywordflow">return</span> MeanTestHelper&lt;ArmnnType, T, 3, 3&gt;(</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;            workloadFactory, memoryManager, tensorHandleFactory,</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;            inputShape, input, { 0, 2 }, <span class="keyword">true</span>, outputShape, output);</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;}</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;<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="l00178"></a><span class="lineno"><a class="line" href="_mean_test_impl_8hpp.xhtml#aabb0e5ec6ed562109b454bf014998ddd">  178</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 3&gt;</a> <a class="code" href="_mean_test_impl_8hpp.xhtml#aabb0e5ec6ed562109b454bf014998ddd">MeanVts3Test</a>(</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00180"></a><span class="lineno">  180</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="l00181"></a><span class="lineno">  181</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="l00182"></a><span class="lineno">  182</span>&#160;{</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 2, 2, 1 };</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 2, 1 };</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;    std::vector&lt;float&gt; input({ 1.0f, 2.0f, 3.0f, 4.0f });</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    std::vector&lt;float&gt; output({ 1.5f, 3.5f });</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;    <span class="keywordflow">return</span> MeanTestHelper&lt;ArmnnType, T, 4, 3&gt;(</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;            workloadFactory, memoryManager, tensorHandleFactory, inputShape, input, { 2 }, <span class="keyword">false</span>, outputShape, output);</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;}</div><div class="ttc" id="_mean_test_impl_8hpp_xhtml_a3a53d279ba97472317514f009274e29d"><div class="ttname"><a href="_mean_test_impl_8hpp.xhtml#a3a53d279ba97472317514f009274e29d">MeanKeepDimsTest</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; MeanKeepDimsTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mean_test_impl_8hpp_source.xhtml#l00109">MeanTestImpl.hpp:109</a></div></div>
<div class="ttc" id="_mean_test_impl_8hpp_xhtml_a9746d3b66711274be95c1528f6bc9b90"><div class="ttname"><a href="_mean_test_impl_8hpp.xhtml#a9746d3b66711274be95c1528f6bc9b90">MeanMultipleDimsTest</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; MeanMultipleDimsTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mean_test_impl_8hpp_source.xhtml#l00125">MeanTestImpl.hpp:125</a></div></div>
<div class="ttc" id="_workload_factory_8hpp_xhtml"><div class="ttname"><a href="_workload_factory_8hpp.xhtml">WorkloadFactory.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00022">WorkloadFactory.hpp:22</a></div></div>
<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div>
<div class="ttc" id="_mean_test_impl_8hpp_xhtml_aec0529cbc32e7cfe1784c1c2e6a1f156"><div class="ttname"><a href="_mean_test_impl_8hpp.xhtml#aec0529cbc32e7cfe1784c1c2e6a1f156">MeanVts1Test</a></div><div class="ttdeci">LayerTestResult&lt; T, 1 &gt; MeanVts1Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mean_test_impl_8hpp_source.xhtml#l00142">MeanTestImpl.hpp:142</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00057">WorkloadData.hpp:57</a></div></div>
<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a1f0d67b087c491248bd1cde3ff995a95"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a1f0d67b087c491248bd1cde3ff995a95">armnn::MeanDescriptor::m_Axis</a></div><div class="ttdeci">std::vector&lt; unsigned int &gt; m_Axis</div><div class="ttdoc">Values for the dimensions to reduce. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00969">Descriptors.hpp:969</a></div></div>
<div class="ttc" id="_layer_test_result_8hpp_xhtml"><div class="ttname"><a href="_layer_test_result_8hpp.xhtml">LayerTestResult.hpp</a></div></div>
<div class="ttc" id="_mean_test_impl_8hpp_xhtml_a4b253a23a15c15fdd9c8c5b1b2ce582c"><div class="ttname"><a href="_mean_test_impl_8hpp.xhtml#a4b253a23a15c15fdd9c8c5b1b2ce582c">MeanVts2Test</a></div><div class="ttdeci">LayerTestResult&lt; T, 3 &gt; MeanVts2Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mean_test_impl_8hpp_source.xhtml#l00160">MeanTestImpl.hpp:160</a></div></div>
<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.xhtml">IBackendInternal.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_mean_descriptor_xhtml_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_mean_descriptor.xhtml#a28e0548abfc4e79c48f29a3d11a062e9">armnn::MeanDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">Enable/disable keep dimensions. If true, then the reduced dimensions that are of length 1 are kept...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00971">Descriptors.hpp:971</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_backend_internal_xhtml_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IMemoryManager &gt; IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00092">IBackendInternal.hpp:92</a></div></div>
<div class="ttc" id="_mean_test_impl_8hpp_xhtml_aabb0e5ec6ed562109b454bf014998ddd"><div class="ttname"><a href="_mean_test_impl_8hpp.xhtml#aabb0e5ec6ed562109b454bf014998ddd">MeanVts3Test</a></div><div class="ttdeci">LayerTestResult&lt; T, 3 &gt; MeanVts3Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mean_test_impl_8hpp_source.xhtml#l00178">MeanTestImpl.hpp:178</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_tensor_handle_factory_8hpp_source.xhtml#l00041">ITensorHandleFactory.hpp:41</a></div></div>
<div class="ttc" id="_mean_test_impl_8hpp_xhtml_aafef158279b909750a201d2862ba8676"><div class="ttname"><a href="_mean_test_impl_8hpp.xhtml#aafef158279b909750a201d2862ba8676">MeanSimpleAxisTest</a></div><div class="ttdeci">LayerTestResult&lt; T, 3 &gt; MeanSimpleAxisTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mean_test_impl_8hpp_source.xhtml#l00093">MeanTestImpl.hpp:93</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ac63f8f12f80efbe37b789d1540649470"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ac63f8f12f80efbe37b789d1540649470">armnn::IWorkloadFactory::CreateMean</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateMean(const MeanQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01501">WorkloadFactory.cpp:1501</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 inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
<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#l00030">LayerTestResult.hpp:30</a></div></div>
<div class="ttc" id="structarmnn_1_1_mean_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_mean_queue_descriptor.xhtml">armnn::MeanQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00270">WorkloadData.hpp:270</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="_mean_test_impl_8hpp_xhtml_a69b8c28d02d85743f838a3885db82325"><div class="ttname"><a href="_mean_test_impl_8hpp.xhtml#a69b8c28d02d85743f838a3885db82325">MeanSimpleTest</a></div><div class="ttdeci">LayerTestResult&lt; T, 1 &gt; MeanSimpleTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, const armnn::ITensorHandleFactory &amp;tensorHandleFactory)</div><div class="ttdef"><b>Definition:</b> <a href="_mean_test_impl_8hpp_source.xhtml#l00077">MeanTestImpl.hpp:77</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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