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<div class="title">PadTestImpl.cpp</div> </div>
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<a href="_pad_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 © 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">#include &quot;<a class="code" href="_pad_test_impl_8hpp.xhtml">PadTestImpl.hpp</a>&quot;</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="_quantize_helper_8hpp.xhtml">QuantizeHelper.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;<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="l00011"></a><span class="lineno"> 11</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="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</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="l00014"></a><span class="lineno"> 14</span>&#160;</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment">// Implementation templates</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a227a98a0681875f6a4af1b4e2154b1c0"> 20</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 2&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a2efccf857e77f59789d3c9c655943291">Pad2dTestCommon</a>(</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</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_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; <span class="keywordtype">float</span> qScale,</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160; int32_t qOffset,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> customPaddingValue)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</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_shape.xhtml">armnn::TensorShape</a> inputShape{ 3, 3 };</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_shape.xhtml">armnn::TensorShape</a> outputShape{ 7, 7 };</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; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</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::vector&lt;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="comment">// Height (3) x Width (3)</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; 4, 8, 6,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; 7, 4, 4,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; 3, 2, 4</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; qScale, qOffset);</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> p = customPaddingValue;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; std::vector&lt;T&gt; expectedOutputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; p, p, 4, 8, 6, p, p,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; p, p, 7, 4, 4, p, p,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; p, p, 3, 2, 4, p, p,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; p, p, p, p, p, p, p</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; qScale, qOffset);</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; <span class="keyword">auto</span> inputTensor = MakeTensor&lt;T, 2&gt;(inputTensorInfo, std::vector&lt;T&gt;(inputValues));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 2&gt;</a> result(outputTensorInfo);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; result.<a class="code" href="struct_layer_test_result.xhtml#a73610ea6c776cc66e5a78dd842a39b8b">outputExpected</a> = MakeTensor&lt;T, 2&gt;(outputTensorInfo, std::vector&lt;T&gt;(expectedOutputValues));</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; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</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="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a> descriptor;</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; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; padList;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; padList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; padList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</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; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = padList;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</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_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a> = customPaddingValue;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> info;</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; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</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; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</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; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; outputHandle-&gt;Allocate();</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; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0]);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.<a class="code" href="struct_layer_test_result.xhtml#ac9d44d346bb7c89f7a7aa31d2bee947f">output</a>[0][0], outputHandle.get());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">return</span> result;</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&gt;</div><div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a106adefa1af15bdc68068403d7e93cd3"> 93</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 3&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a106adefa1af15bdc68068403d7e93cd3">Pad3dTestCommon</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="keywordtype">float</span> qScale,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; int32_t qOffset)</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; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 2, 2, 2 };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 3, 5, 6 };</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::vector&lt;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</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="comment">// Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; 0, 4,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; 2, 5,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="comment">// Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; 6, 1,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; 5, 2</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; qScale, qOffset);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; std::vector&lt;T&gt; expectedOutputValues = armnnUtils::QuantizedVector&lt;T&gt;(</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; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; 0, 0, 0, 4, 0, 0,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; 0, 0, 2, 5, 0, 0,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; 0, 0, 0, 0, 0, 0,</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; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; 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PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</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; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = PadList;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> info;</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; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</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; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; outputHandle-&gt;Allocate();</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; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0][0]);</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; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; 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<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</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="l00448"></a><span class="lineno"> 448</span>&#160;{</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</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;</div><div class="line"><a name="l00452"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a07b74f034f52a7c5dae44a74efb8019e"> 452</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 2&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a07b74f034f52a7c5dae44a74efb8019e">PadUint82dCustomPaddingTest</a>(</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</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="l00455"></a><span class="lineno"> 455</span>&#160;{</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0, 1.0f);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;}</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160;</div><div class="line"><a name="l00459"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#abffbd2fd1db993ecf50344cf530c21b5"> 459</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 3&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#abffbd2fd1db993ecf50344cf530c21b5">PadUint83dTest</a>(</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</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="l00462"></a><span class="lineno"> 462</span>&#160;{</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160;}</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160;</div><div class="line"><a name="l00466"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a00264a85539177528b812af3df9a664a"> 466</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a00264a85539177528b812af3df9a664a">PadUint84dTest</a>(</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</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="l00469"></a><span class="lineno"> 469</span>&#160;{</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160;}</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"><a class="line" href="_pad_test_impl_8hpp.xhtml#a25fabb1639914c21d6704cb4d38a9c84"> 473</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 2&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a25fabb1639914c21d6704cb4d38a9c84">PadFloat322dTest</a>(</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</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="l00476"></a><span class="lineno"> 476</span>&#160;{</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</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"><a class="line" href="_pad_test_impl_8hpp.xhtml#aaa52b691f1734bf8ed1b983a4ccb9e7c"> 480</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 2&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#aaa52b691f1734bf8ed1b983a4ccb9e7c">PadFloat322dCustomPaddingTest</a>(</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</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="l00483"></a><span class="lineno"> 483</span>&#160;{</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0, 1.0f);</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"><a class="line" href="_pad_test_impl_8hpp.xhtml#affbb9e1924205682a80918a3ee91df3f"> 487</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 3&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#affbb9e1924205682a80918a3ee91df3f">PadFloat323dTest</a>(</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</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="l00490"></a><span class="lineno"> 490</span>&#160;{</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160;}</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160;</div><div class="line"><a name="l00494"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a154b1f8adf21e8e368d27882d02c0abd"> 494</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a154b1f8adf21e8e368d27882d02c0abd">PadFloat324dTest</a>(</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</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="l00497"></a><span class="lineno"> 497</span>&#160;{</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;}</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>&#160;</div><div class="line"><a name="l00501"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a70d112117aab76605b514d71ff653d60"> 501</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::BFloat16, 2&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a70d112117aab76605b514d71ff653d60">PadBFloat162dTest</a>(</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</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="l00504"></a><span class="lineno"> 504</span>&#160;{</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160;}</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160;</div><div class="line"><a name="l00508"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a4051f0cadac34f005ccac2567ea22d28"> 508</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::BFloat16, 2&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a4051f0cadac34f005ccac2567ea22d28">PadBFloat162dCustomPaddingTest</a>(</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</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="l00511"></a><span class="lineno"> 511</span>&#160;{</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0, 1.0f);</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160;}</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160;</div><div class="line"><a name="l00515"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#ac5f18107061e75d2e1fa378b514c3269"> 515</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::BFloat16, 3&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#ac5f18107061e75d2e1fa378b514c3269">PadBFloat163dTest</a>(</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</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="l00518"></a><span class="lineno"> 518</span>&#160;{</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160;}</div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160;</div><div class="line"><a name="l00522"></a><span class="lineno"><a class="line" href="_pad_test_impl_8hpp.xhtml#a7622686da55a20be40afff518e661355"> 522</a></span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::BFloat16, 4&gt;</a> <a class="code" href="_pad_test_impl_8cpp.xhtml#a7622686da55a20be40afff518e661355">PadBFloat164dTest</a>(</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</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="l00525"></a><span class="lineno"> 525</span>&#160;{</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::BFloat16&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160;}</div><div class="ttc" id="_pad_test_impl_8hpp_xhtml"><div class="ttname"><a href="_pad_test_impl_8hpp.xhtml">PadTestImpl.hpp</a></div></div>
<div class="ttc" id="_tensor_copy_utils_8hpp_xhtml"><div class="ttname"><a href="_tensor_copy_utils_8hpp.xhtml">TensorCopyUtils.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00923">Descriptors.hpp:923</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a70d112117aab76605b514d71ff653d60"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a70d112117aab76605b514d71ff653d60">PadBFloat162dTest</a></div><div class="ttdeci">LayerTestResult&lt; armnn::BFloat16, 2 &gt; PadBFloat162dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00501">PadTestImpl.cpp:501</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#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="_quantize_helper_8hpp_xhtml"><div class="ttname"><a href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div>
<div class="ttc" id="_workload_test_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_test_utils_8hpp.xhtml">WorkloadTestUtils.hpp</a></div></div>
<div class="ttc" id="struct_layer_test_result_xhtml_a73610ea6c776cc66e5a78dd842a39b8b"><div class="ttname"><a href="struct_layer_test_result.xhtml#a73610ea6c776cc66e5a78dd842a39b8b">LayerTestResult::outputExpected</a></div><div class="ttdeci">boost::multi_array&lt; T, n &gt; outputExpected</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00041">LayerTestResult.hpp:41</a></div></div>
<div class="ttc" id="structarmnn_1_1_pad_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00920">Descriptors.hpp:920</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_abffbd2fd1db993ecf50344cf530c21b5"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#abffbd2fd1db993ecf50344cf530c21b5">PadUint83dTest</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 3 &gt; PadUint83dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00459">PadTestImpl.cpp:459</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a25fabb1639914c21d6704cb4d38a9c84"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a25fabb1639914c21d6704cb4d38a9c84">PadFloat322dTest</a></div><div class="ttdeci">LayerTestResult&lt; float, 2 &gt; PadFloat322dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00473">PadTestImpl.cpp:473</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</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#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.xhtml">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00252">WorkloadData.hpp:252</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a878a628bade11abc79cf8160c518a244"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a878a628bade11abc79cf8160c518a244">Pad4dTestCommon</a></div><div class="ttdeci">LayerTestResult&lt; T, 4 &gt; Pad4dTestCommon(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, float qScale, int32_t qOffset)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00177">PadTestImpl.cpp:177</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a106adefa1af15bdc68068403d7e93cd3"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a106adefa1af15bdc68068403d7e93cd3">Pad3dTestCommon</a></div><div class="ttdeci">LayerTestResult&lt; T, 3 &gt; Pad3dTestCommon(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, float qScale, int32_t qOffset)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00093">PadTestImpl.cpp:93</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_af9c6d2cdf6ad5b749e618ccc6fb43311"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#af9c6d2cdf6ad5b749e618ccc6fb43311">PadUint82dTest</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 2 &gt; PadUint82dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00445">PadTestImpl.cpp:445</a></div></div>
<div class="ttc" id="_tensor_helpers_8hpp_xhtml"><div class="ttname"><a href="_tensor_helpers_8hpp.xhtml">TensorHelpers.hpp</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a154b1f8adf21e8e368d27882d02c0abd"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a154b1f8adf21e8e368d27882d02c0abd">PadFloat324dTest</a></div><div class="ttdeci">LayerTestResult&lt; float, 4 &gt; PadFloat324dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00494">PadTestImpl.cpp:494</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_aaa52b691f1734bf8ed1b983a4ccb9e7c"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#aaa52b691f1734bf8ed1b983a4ccb9e7c">PadFloat322dCustomPaddingTest</a></div><div class="ttdeci">LayerTestResult&lt; float, 2 &gt; PadFloat322dCustomPaddingTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00480">PadTestImpl.cpp:480</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#l00090">IBackendInternal.hpp:90</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePad(const PadQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01328">WorkloadFactory.cpp:1328</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_affbb9e1924205682a80918a3ee91df3f"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#affbb9e1924205682a80918a3ee91df3f">PadFloat323dTest</a></div><div class="ttdeci">LayerTestResult&lt; float, 3 &gt; PadFloat323dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00487">PadTestImpl.cpp:487</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="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#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="_pad_test_impl_8cpp_xhtml_a4051f0cadac34f005ccac2567ea22d28"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a4051f0cadac34f005ccac2567ea22d28">PadBFloat162dCustomPaddingTest</a></div><div class="ttdeci">LayerTestResult&lt; armnn::BFloat16, 2 &gt; PadBFloat162dCustomPaddingTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00508">PadTestImpl.cpp:508</a></div></div>
<div class="ttc" id="struct_layer_test_result_xhtml_ac9d44d346bb7c89f7a7aa31d2bee947f"><div class="ttname"><a href="struct_layer_test_result.xhtml#ac9d44d346bb7c89f7a7aa31d2bee947f">LayerTestResult::output</a></div><div class="ttdeci">boost::multi_array&lt; T, n &gt; output</div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00040">LayerTestResult.hpp:40</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a00264a85539177528b812af3df9a664a"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a00264a85539177528b812af3df9a664a">PadUint84dTest</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 4 &gt; PadUint84dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00466">PadTestImpl.cpp:466</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_ac5f18107061e75d2e1fa378b514c3269"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#ac5f18107061e75d2e1fa378b514c3269">PadBFloat163dTest</a></div><div class="ttdeci">LayerTestResult&lt; armnn::BFloat16, 3 &gt; PadBFloat163dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00515">PadTestImpl.cpp:515</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a7622686da55a20be40afff518e661355"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a7622686da55a20be40afff518e661355">PadBFloat164dTest</a></div><div class="ttdeci">LayerTestResult&lt; armnn::BFloat16, 4 &gt; PadBFloat164dTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00522">PadTestImpl.cpp:522</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#l00029">LayerTestResult.hpp:29</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a07b74f034f52a7c5dae44a74efb8019e"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a07b74f034f52a7c5dae44a74efb8019e">PadUint82dCustomPaddingTest</a></div><div class="ttdeci">LayerTestResult&lt; uint8_t, 2 &gt; PadUint82dCustomPaddingTest(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00452">PadTestImpl.cpp:452</a></div></div>
<div class="ttc" id="_pad_test_impl_8cpp_xhtml_a2efccf857e77f59789d3c9c655943291"><div class="ttname"><a href="_pad_test_impl_8cpp.xhtml#a2efccf857e77f59789d3c9c655943291">Pad2dTestCommon</a></div><div class="ttdeci">LayerTestResult&lt; T, 2 &gt; Pad2dTestCommon(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;memoryManager, float qScale, int32_t qOffset, const float customPaddingValue)</div><div class="ttdef"><b>Definition:</b> <a href="_pad_test_impl_8cpp_source.xhtml#l00020">PadTestImpl.cpp:20</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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