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+<a href="_permute_test_impl_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#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. 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 &lt;<a class="code" href="_resolve_type_8hpp.html">ResolveType.hpp</a>&gt;</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;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">armnn/backends/IBackendInternal.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_factory_8hpp.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.html">test/TensorHelpers.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="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="_permute_test_impl_8hpp.html#ab06ccce5792f3b839397272109ca4837">   19</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_permute_test_impl_8hpp.html#ab06ccce5792f3b839397272109ca4837">SimplePermuteTestImpl</a>(</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.html">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.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;        <a class="code" href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a> descriptor,</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo,</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;        <span class="keyword">const</span> std::vector&lt;T&gt;&amp; inputData,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;        <span class="keyword">const</span> std::vector&lt;T&gt;&amp; outputExpectedData)</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;{</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keyword">auto</span> input = MakeTensor&lt;T, 4&gt;(inputTensorInfo, inputData);</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    ret.outputExpected = MakeTensor&lt;T, 4&gt;(outputTensorInfo, 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;    std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</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;    <a class="code" href="structarmnn_1_1_permute_queue_descriptor.html">armnn::PermuteQueueDescriptor</a> data;</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = descriptor;</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;    <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> info;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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;    std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a2dcee0bc4bbae1f745324aed0f841a0a">CreatePermute</a>(data, info);</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;    inputHandle-&gt;Allocate();</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    outputHandle-&gt;Allocate();</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    workload-&gt;Execute();</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="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keywordflow">return</span> ret;</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;</div><div class="line"><a name="l00057"></a><span class="lineno">   57</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="l00058"></a><span class="lineno"><a class="line" href="_permute_test_impl_8hpp.html#a5fd3a2b076c3136c57b0a536bda7ca59">   58</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_permute_test_impl_8hpp.html#a5fd3a2b076c3136c57b0a536bda7ca59">SimplePermuteTest</a>(</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;{</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</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;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 2, 2, 2 };</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;    <a class="code" href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a> descriptor;</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 3U, 1U, 2U};</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;    inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    {</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(0.5f);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;        inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(0.5f);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</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;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    std::vector&lt;T&gt; input = std::vector&lt;T&gt;(</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;        1, 2,</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;        3, 4,</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;        5, 6,</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;        7, 8</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    });</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;    std::vector&lt;T&gt; outputExpected = std::vector&lt;T&gt;(</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    {</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;        1, 5, 2, 6,</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;        3, 7, 4, 8</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    });</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;    <span class="keywordflow">return</span> SimplePermuteTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;                                    descriptor, inputTensorInfo,</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;                                    outputTensorInfo, input, outputExpected);</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;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</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="l00103"></a><span class="lineno"><a class="line" href="_permute_test_impl_8hpp.html#af522c6a6279a2708689c44f80c5e7df2">  103</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_permute_test_impl_8hpp.html#af522c6a6279a2708689c44f80c5e7df2">PermuteValueSet1Test</a>(</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</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;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[]  = { 1, 2, 2, 3 };</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 3, 2, 2 };</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <a class="code" href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a> descriptor;</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_permute_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 2U, 3U, 1U};</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160; 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                                   descriptor, inputTensorInfo,</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                                    outputTensorInfo, input, outputExpected);</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;</div><div class="line"><a name="l00148"></a><span class="lineno">  148</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="l00149"></a><span class="lineno"><a class="line" href="_permute_test_impl_8hpp.html#af03f4a1d9c3dfb46484db4e1b9e9261e">  149</a></span>&#160;<a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 4&gt;</a> <a class="code" href="_permute_test_impl_8hpp.html#af03f4a1d9c3dfb46484db4e1b9e9261e">PermuteValueSet2Test</a>(</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</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;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160; 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       outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(0.5f);</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    }</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;    std::vector&lt;T&gt; input = std::vector&lt;T&gt;(</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;        1, 11, 21, 31,</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        2, 12, 22, 32,</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        3, 13, 23, 33</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;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    std::vector&lt;T&gt; outputExpected = std::vector&lt;T&gt;(</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;         1,  2,  3,</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        11, 12, 13,</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        21, 22, 23,</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;    });</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; 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       <a class="code" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</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;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo;</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; 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       outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(0.5f);</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;        outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(5);</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    }</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;    std::vector&lt;T&gt; input = std::vector&lt;T&gt;(</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;            {</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                 1,  2,  3,</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;                11, 12, 13,</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;                21, 22, 23,</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;                31, 32, 33,</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;                41, 42, 43,</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;                51, 52, 53</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;            });</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    std::vector&lt;T&gt; outputExpected = std::vector&lt;T&gt;(</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;            {</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;                1, 11, 21, 31, 41, 51,</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;                2, 12, 22, 32, 42, 52,</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160; 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+<div class="ttc" id="_workload_factory_8hpp_html"><div class="ttname"><a href="_workload_factory_8hpp.html">WorkloadFactory.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_html"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.html#l00021">WorkloadFactory.hpp:21</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
+<div class="ttc" id="_permute_test_impl_8hpp_html_a5fd3a2b076c3136c57b0a536bda7ca59"><div class="ttname"><a href="_permute_test_impl_8hpp.html#a5fd3a2b076c3136c57b0a536bda7ca59">SimplePermuteTest</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; SimplePermuteTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_test_impl_8hpp_source.html#l00058">PermuteTestImpl.hpp:58</a></div></div>
+<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
+<div class="ttc" id="_permute_test_impl_8hpp_html_aaef16931351aa41c2cdb3c0b534bc734"><div class="ttname"><a href="_permute_test_impl_8hpp.html#aaef16931351aa41c2cdb3c0b534bc734">PermuteValueSet3Test</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; PermuteValueSet3Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_test_impl_8hpp_source.html#l00195">PermuteTestImpl.hpp:195</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
+<div class="ttc" id="structarmnn_1_1_permute_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_queue_descriptor.html">armnn::PermuteQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00156">WorkloadData.hpp:156</a></div></div>
+<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
+<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_backend_internal_html_a693b40e6b94e958836aeb0410ca186bd"><div class="ttname"><a href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a></div><div class="ttdeci">std::shared_ptr&lt; IMemoryManager &gt; IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html#l00090">IBackendInternal.hpp:90</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
+<div class="ttc" id="_resolve_type_8hpp_html"><div class="ttname"><a href="_resolve_type_8hpp.html">ResolveType.hpp</a></div></div>
+<div class="ttc" id="_permute_test_impl_8hpp_html_af522c6a6279a2708689c44f80c5e7df2"><div class="ttname"><a href="_permute_test_impl_8hpp.html#af522c6a6279a2708689c44f80c5e7df2">PermuteValueSet1Test</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; PermuteValueSet1Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_test_impl_8hpp_source.html#l00103">PermuteTestImpl.hpp:103</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00259">Tensor.cpp:259</a></div></div>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_html_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::PermuteDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. {0U, 3U, 1U, 2U}. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00119">Descriptors.hpp:119</a></div></div>
+<div class="ttc" id="_permute_test_impl_8hpp_html_af03f4a1d9c3dfb46484db4e1b9e9261e"><div class="ttname"><a href="_permute_test_impl_8hpp.html#af03f4a1d9c3dfb46484db4e1b9e9261e">PermuteValueSet2Test</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; PermuteValueSet2Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_test_impl_8hpp_source.html#l00149">PermuteTestImpl.hpp:149</a></div></div>
+<div class="ttc" id="_workload_test_utils_8hpp_html"><div class="ttname"><a href="_workload_test_utils_8hpp.html">WorkloadTestUtils.hpp</a></div></div>
+<div class="ttc" id="include_2armnn_2backends_2_i_backend_internal_8hpp_html"><div class="ttname"><a href="include_2armnn_2backends_2_i_backend_internal_8hpp.html">IBackendInternal.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a2dcee0bc4bbae1f745324aed0f841a0a"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a2dcee0bc4bbae1f745324aed0f841a0a">armnn::IWorkloadFactory::CreatePermute</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePermute(const PermuteQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01317">WorkloadFactory.cpp:1317</a></div></div>
+<div class="ttc" id="structarmnn_1_1_permute_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_permute_descriptor.html">armnn::PermuteDescriptor</a></div><div class="ttdoc">A PermuteDescriptor for the PermuteLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00102">Descriptors.hpp:102</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_html_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00275">Tensor.cpp:275</a></div></div>
+<div class="ttc" id="_tensor_helpers_8hpp_html"><div class="ttname"><a href="_tensor_helpers_8hpp.html">TensorHelpers.hpp</a></div></div>
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