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<a href="_resize_test_impl_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2019 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> </div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_resize_test_impl_8hpp.xhtml">ResizeTestImpl.hpp</a>"</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> </div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include <<a class="code" href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a>></span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> </div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> </div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="preprocessor">#include <<a class="code" href="_tensor_utils_8hpp.xhtml">armnnUtils/TensorUtils.hpp</a>></span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_data_layout_indexed_8hpp.xhtml">armnnUtils/DataLayoutIndexed.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="preprocessor">#include <<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>></span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> </div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="preprocessor">#include <<a class="code" href="_data_layout_utils_8hpp.xhtml">backendsCommon/test/DataLayoutUtils.hpp</a>></span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="preprocessor">#include <<a class="code" href="_tensor_copy_utils_8hpp.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>></span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_workload_test_utils_8hpp.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>></span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include <<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>></span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="keyword">namespace</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="keyword">struct </span>ResizeTestParams</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> {</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  ResizeTestParams()</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  : m_ResizeMethod(<a class="code" href="namespacearmnn.xhtml">armnn</a>::<a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">ResizeMethod</a>::<a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">Bilinear</a>)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  , m_DataLayout(<a class="code" href="namespacearmnn.xhtml">armnn</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">DataLayout</a>::<a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">NCHW</a>)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  , m_InQuantScale(1.0f)</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  , m_InQuantOffset(0)</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  , m_OutQuantScale(1.0f)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  , m_OutQuantOffset(0)</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  , m_AlignCorners(<a class="code" href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>)</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  , m_HalfPixelCenters(<a class="code" href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>) {}</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a> m_ResizeMethod;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> m_DataLayout;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> m_InputShape;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> m_OutputShape;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::vector<float> m_InputData;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::vector<float> m_ExpectedOutputData;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">float</span> m_InQuantScale;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  int32_t m_InQuantOffset;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordtype">float</span> m_OutQuantScale;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  int32_t m_OutQuantOffset;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">bool</span> m_AlignCorners;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordtype">bool</span> m_HalfPixelCenters;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordtype">void</span> SetInQuantParams(<span class="keywordtype">float</span> quantScale, int32_t quantOffset)</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  m_InQuantScale = quantScale;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  m_InQuantOffset = quantOffset;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">void</span> SetOutQuantParams(<span class="keywordtype">float</span> quantScale, int32_t quantOffset)</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  {</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  m_OutQuantScale = quantScale;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  m_OutQuantOffset = quantOffset;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordtype">void</span> SetInOutQuantParams(<span class="keywordtype">float</span> quantScale, int32_t quantOffset)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  SetInQuantParams(quantScale, quantOffset);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  SetOutQuantParams(quantScale, quantOffset);</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> };</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="keyword">template</span><<span class="keywordtype">size_t</span> NumDims,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> ArmnnType,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">typename</span> T = <a class="code" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType<ArmnnType></a>></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, NumDims></a> ResizeTestImpl(</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> ResizeTestParams& params)</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> {</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputInfo(params.m_InputShape, ArmnnType);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo(params.m_OutputShape, ArmnnType);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  inputInfo.SetQuantizationScale(params.m_InQuantScale);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  inputInfo.SetQuantizationOffset(params.m_InQuantOffset);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  outputInfo.SetQuantizationScale(params.m_OutQuantScale);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  outputInfo.SetQuantizationOffset(params.m_OutQuantOffset);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  std::vector<T> inputData =</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  armnnUtils::QuantizedVector<T>(params.m_InputData, params.m_InQuantScale, params.m_InQuantOffset);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  std::vector<T> expectedOutputData =</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  armnnUtils::QuantizedVector<T>(params.m_ExpectedOutputData,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  params.m_OutQuantScale,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  params.m_OutQuantOffset);</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordflow">if</span> (params.m_DataLayout == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>)</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  {</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="_data_layout_utils_8hpp.xhtml#a2f264435e93ad5aab7ac9e1dec4a4e93">PermuteTensorNchwToNhwc</a>(inputInfo, inputData);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <a class="code" href="_data_layout_utils_8hpp.xhtml#a2f264435e93ad5aab7ac9e1dec4a4e93">PermuteTensorNchwToNhwc</a>(outputInfo, expectedOutputData);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">auto</span> input = MakeTensor<T, NumDims>(inputInfo, inputData);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, NumDims></a> result(outputInfo);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  result.outputExpected = MakeTensor<T, NumDims>(outputInfo, expectedOutputData);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputInfo);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputInfo);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="structarmnn_1_1_resize_queue_descriptor.xhtml">armnn::ResizeQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">m_Method</a> = params.m_ResizeMethod;</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = params.m_DataLayout;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">m_AlignCorners</a> = params.m_AlignCorners;</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">m_HalfPixelCenters</a> = params.m_HalfPixelCenters;</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a> dataLayoutIndexed(params.m_DataLayout);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">m_TargetWidth</a> = params.m_OutputShape[dataLayoutIndexed.GetWidthIndex()];</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">m_TargetHeight</a> = params.m_OutputShape[dataLayoutIndexed.GetHeightIndex()];</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  AddInputToWorkload(descriptor, info, inputInfo, inputHandle.get());</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  AddOutputToWorkload(descriptor, info, outputInfo, outputHandle.get());</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> </div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a84377c94a59c589dbf419f838c4b9119">CreateResize</a>(descriptor, info);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  inputHandle->Allocate();</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  outputHandle->Allocate();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.origin());</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  workload->PostAllocationConfigure();</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  workload->Execute();</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(result.output.origin(), outputHandle.get());</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span> }</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="comment">//</span></div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="comment">// Bilinear</span></div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> <span class="comment">//</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00151"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#aa2db2e196bb06946a3daf8175a14c13d"> 151</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#aa2db2e196bb06946a3daf8175a14c13d">ResizeBilinearNopTest</a>(</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  testParams.m_OutputShape = testParams.m_InputShape;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  testParams.m_InputData =</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  4.0f, 5.0f, 6.0f, 7.0f</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  };</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  testParams.m_ExpectedOutputData = testParams.m_InputData;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  testParams.SetInOutQuantParams(1.5f, 3);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00185"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a4119b16ebc3a6d284994fb31bc1bae5c"> 185</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a4119b16ebc3a6d284994fb31bc1bae5c">SimpleResizeBilinearTest</a>(</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  testParams.m_InputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  testParams.m_OutputShape = { 1, 2, 1, 1 };</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  testParams.m_InputData =</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  1.0f, 255.0f,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  200.0f, 250.0f,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  250.0f, 200.0f,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  250.0f, 1.0f</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  };</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// The 'resize' operation projects the top-left corner of output texels into the input image,</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// then figures out the interpolants and weights. Note this is different to projecting the centre of the</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// its single element, the value that was at position (0,0) of the input matrix (rather than an average,</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// which we would expect if projecting the centre).</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  1.0f,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  250.0f</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  };</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  testParams.SetInOutQuantParams(0.1567f, 1);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00225"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a92001d5535a952b1662208b56e4c1a0d"> 225</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a92001d5535a952b1662208b56e4c1a0d">ResizeBilinearSqMinTest</a>(</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  testParams.m_OutputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  testParams.m_InputData =</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  7.0f, 6.0f, 5.0f, 4.0f,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  6.0f, 5.0f, 4.0f, 3.0f,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  5.0f, 4.0f, 3.0f, 2.0f,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  4.0f, 3.0f, 2.0f, 1.0f</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  };</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  1.0f, 3.0f,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  3.0f, 5.0f,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  7.0f, 5.0f,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  5.0f, 3.0f</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  };</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  testParams.SetInOutQuantParams(3.141592f, 3);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> }</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span> </div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00266"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#ab6c56ff0b93e3d1b0ebb45d32fd107c0"> 266</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#ab6c56ff0b93e3d1b0ebb45d32fd107c0">ResizeBilinearMinTest</a>(</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> {</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  testParams.m_InputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  testParams.m_OutputShape = { 1, 2, 2, 3 };</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  testParams.m_InputData =</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  };</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  1.50f, 4.00f, 6.50f,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  12.75f, 15.25f, 17.75f,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  16.50f, 19.00f, 21.50f,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  5.25f, 7.75f, 10.25f</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  };</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  testParams.SetInOutQuantParams(1.5f, -1);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00305"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a87ea44986ca2ae678f417953cbf25fba"> 305</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a87ea44986ca2ae678f417953cbf25fba">ResizeBilinearMagTest</a>(</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> {</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  testParams.m_InputShape = { 1, 2, 3, 2 };</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  testParams.m_OutputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  testParams.m_InputData =</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  1.0f, 2.0f,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  13.0f, 21.0f,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  144.0f, 233.0f,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  233.0f, 144.0f,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  21.0f, 13.0f,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  2.0f, 1.0f</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  };</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  {</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  1.0f, 1.4f, 1.8f, 2.0f, 2.0f,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  13.0f, 16.2f, 19.4f, 21.0f, 21.0f,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  144.0f, 179.6f, 215.2f, 233.0f, 233.0f,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  233.0f, 197.4f, 161.8f, 144.0f, 144.0f,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  21.0f, 17.8f, 14.6f, 13.0f, 13.0f,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  2.0f, 1.6f, 1.2f, 1.0f, 1.0f</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  };</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  testParams.SetInQuantParams(1.0f, 0);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> }</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="comment">//</span></div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="comment">// NearestNeighbor</span></div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span> <span class="comment">//</span></div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00350"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a33aeb82b9051e33b3bca1b2425931576"> 350</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a33aeb82b9051e33b3bca1b2425931576">ResizeNearestNeighborNopTest</a>(</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  testParams.m_OutputShape = testParams.m_InputShape;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  testParams.m_InputData =</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  4.0f, 5.0f, 6.0f, 7.0f</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  };</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  testParams.m_ExpectedOutputData = testParams.m_InputData;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  testParams.SetInOutQuantParams(1.5f, 3);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> }</div><div class="line"><a name="l00382"></a><span class="lineno"> 382</span> </div><div class="line"><a name="l00383"></a><span class="lineno"> 383</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a2cf15f90d138a0d77b7d1b7f36f16a5e"> 384</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a2cf15f90d138a0d77b7d1b7f36f16a5e">SimpleResizeNearestNeighborTest</a>(</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  testParams.m_InputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  testParams.m_OutputShape = { 1, 2, 1, 1 };</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  testParams.m_InputData =</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  {</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  1.0f, 255.0f,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  200.0f, 250.0f,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  250.0f, 200.0f,</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  250.0f, 1.0f</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  };</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// The 'resize' operation projects the top-left corner of output texels into the input image,</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="comment">// then figures out the interpolants and weights. Note this is different to projecting the centre of the</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="comment">// its single element, the value that was at position (0,0) of the input matrix (rather than an average,</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">// which we would expect if projecting the centre).</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  1.0f,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  250.0f</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  };</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  testParams.SetInOutQuantParams(0.1567f, 1);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> }</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span> </div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00424"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a47f85f2efb30c1bbefa26b5870cb679a"> 424</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a47f85f2efb30c1bbefa26b5870cb679a">ResizeNearestNeighborSqMinTest</a>(</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  testParams.m_OutputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  testParams.m_InputData =</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  7.0f, 6.0f, 5.0f, 4.0f,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  6.0f, 5.0f, 4.0f, 3.0f,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  5.0f, 4.0f, 3.0f, 2.0f,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  4.0f, 3.0f, 2.0f, 1.0f</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  };</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  {</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  1.0f, 3.0f,</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  3.0f, 5.0f,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  7.0f, 5.0f,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  5.0f, 3.0f</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  };</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  testParams.SetInOutQuantParams(3.141592f, 3);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00465"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a0fb2443480d1dfe96d56934d5bc881ef"> 465</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a0fb2443480d1dfe96d56934d5bc881ef">ResizeNearestNeighborMinTest</a>(</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  testParams.m_InputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  testParams.m_OutputShape = { 1, 2, 2, 3 };</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  testParams.m_InputData =</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  };</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  1.5f, 3.0f, 6.0f,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  9.0f, 10.5f, 13.5f,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  16.5f, 18.0f, 21.0f,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  9.0f, 10.5f, 13.5f</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  };</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  testParams.SetInOutQuantParams(1.5f, -1);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> }</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span> </div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00504"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#add4e120720dcb11922c35ef356ff56b0"> 504</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#add4e120720dcb11922c35ef356ff56b0">ResizeNearestNeighborMagTest</a>(</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  <span class="keywordtype">float</span> inQuantScale,</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  int32_t inQuantOffset,</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>  int32_t outQuantOffset)</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> {</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  testParams.m_InputShape = { 1, 2, 3, 2 };</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  testParams.m_OutputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  testParams.m_InputData =</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  {</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  0.183005f, 2.379065f,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  1.054970f, 1.302565f,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  2.400595f, 0.688960f,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  2.400595f, 0.688960f,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  1.054970f, 1.302565f,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  0.183005f, 2.379065f,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  };</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  };</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  testParams.SetInQuantParams(inQuantScale, inQuantOffset);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  testParams.SetOutQuantParams(outQuantScale, outQuantOffset);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> }</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00550"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a3f28f588088eee189083910b9288fbbe"> 550</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a3f28f588088eee189083910b9288fbbe">HalfPixelCentersResizeBilinearTest</a>(</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> {</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  testParams.m_HalfPixelCenters = <span class="keyword">true</span>;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  testParams.m_InputShape = { 2, 1, 2, 2 };</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  testParams.m_OutputShape = { 2, 1, 3, 3 };</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  testParams.m_InputData =</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  1.0f, 2.0f,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  3.0f, 4.0f,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  1.0f, 2.0f,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  3.0f, 4.0f</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  };</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  {</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  1.0f, 1.5f, 2.0f,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  2.0f, 2.5f, 3.0f,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  3.0f, 3.5f, 4.0f,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  1.0f, 1.5f, 2.0f,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  2.0f, 2.5f, 3.0f,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  3.0f, 3.5f, 4.0f,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  };</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> </div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> }</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span> </div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00588"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a930715e04e1f3339a4fb12884400cd1f"> 588</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a930715e04e1f3339a4fb12884400cd1f">AlignCornersResizeBilinearTest</a>(</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> {</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  testParams.m_AlignCorners = <span class="keyword">true</span>;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  testParams.m_InputShape = { 1, 1, 2, 2 };</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  testParams.m_OutputShape = { 1, 1, 1, 1 };</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  testParams.m_InputData =</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  {</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  1.0f, 2.0f,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  3.0f, 4.0f,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  };</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  {</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  1.0f</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  };</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> }</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span> </div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00617"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#a2ba1ab96c229cb98604c2e78704f9415"> 617</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#a2ba1ab96c229cb98604c2e78704f9415">HalfPixelCentersResizeNearestNeighbourTest</a>(</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> {</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  testParams.m_HalfPixelCenters = <span class="keyword">true</span>;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  testParams.m_InputShape = { 1, 1, 2, 5 };</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  testParams.m_OutputShape = { 1, 1, 2, 2 };</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  testParams.m_InputData =</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  1.0f, 2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  1.0f, 2.0f, 3.0f, 4.0f, 5.0f</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  };</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  {</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  2.0f, 4.0f,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  2.0f, 4.0f</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  };</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> }</div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span> </div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T></div><div class="line"><a name="l00648"></a><span class="lineno"><a class="line" href="_resize_test_impl_8hpp.xhtml#ac09a538acbdd15c12ba5e141ce3d2c6c"> 648</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> <a class="code" href="_resize_test_impl_8cpp.xhtml#ac09a538acbdd15c12ba5e141ce3d2c6c">AlignCornersResizeNearestNeighbourTest</a>(</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> {</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  testParams.m_AlignCorners = <span class="keyword">true</span>;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> </div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  testParams.m_InputShape = { 1, 1, 2, 2 };</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  testParams.m_OutputShape = { 1, 1, 1, 1 };</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  testParams.m_InputData =</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  {</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  1.0f, 2.0f,</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  3.0f, 4.0f,</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  };</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> </div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  {</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  1.0f</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  };</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> }</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span> </div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span> <span class="comment">//</span></div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span> <span class="comment">// Explicit template instantiations</span></div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span> <span class="comment">//</span></div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span> </div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span> <span class="comment">// Float32</span></div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span> <span class="keyword">template</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::ResolveType<armnn::DataType::Float32></a>, 4></div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span> ResizeBilinearNopTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span> </div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span> SimpleResizeBilinearTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> </div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span> ResizeBilinearSqMinTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span> </div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span> ResizeBilinearMinTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span> </div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span> ResizeBilinearMagTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span> </div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span> ResizeNearestNeighborNopTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00720"></a><span class="lineno"> 720</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> </div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00724"></a><span class="lineno"> 724</span> SimpleResizeNearestNeighborTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00725"></a><span class="lineno"> 725</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00729"></a><span class="lineno"> 729</span> </div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> ResizeNearestNeighborSqMinTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span> </div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span> ResizeNearestNeighborMinTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span> </div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span> ResizeNearestNeighborMagTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keywordtype">float</span> inQuantScale,</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  int32_t inQuantOffset,</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  int32_t outQuantOffset);</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span> </div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span> HalfPixelCentersResizeBilinearTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span> </div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span> AlignCornersResizeBilinearTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span> </div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span> HalfPixelCentersResizeNearestNeighbourTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float32>, 4></div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> AlignCornersResizeNearestNeighbourTest<armnn::DataType::Float32>(</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00779"></a><span class="lineno"> 779</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00780"></a><span class="lineno"> 780</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> </div><div class="line"><a name="l00783"></a><span class="lineno"> 783</span> <span class="comment">// Float16</span></div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span> <span class="keyword">template</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::ResolveType<armnn::DataType::Float16></a>, 4></div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> ResizeBilinearNopTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> </div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span> SimpleResizeBilinearTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> </div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span> ResizeBilinearSqMinTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span> </div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span> ResizeBilinearMinTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span> </div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span> ResizeBilinearMagTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span> </div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span> ResizeNearestNeighborNopTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> </div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> SimpleResizeNearestNeighborTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00829"></a><span class="lineno"> 829</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00830"></a><span class="lineno"> 830</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00834"></a><span class="lineno"> 834</span> ResizeNearestNeighborSqMinTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span> </div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span> ResizeNearestNeighborMinTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span> </div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span> ResizeNearestNeighborMagTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <span class="keywordtype">float</span> inQuantScale,</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  int32_t inQuantOffset,</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  int32_t outQuantOffset);</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span> </div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span> HalfPixelCentersResizeBilinearTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span> </div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span> AlignCornersResizeBilinearTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span> </div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span> HalfPixelCentersResizeNearestNeighbourTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span> </div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::Float16>, 4></div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span> AlignCornersResizeNearestNeighbourTest<armnn::DataType::Float16>(</div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00883"></a><span class="lineno"> 883</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00884"></a><span class="lineno"> 884</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00885"></a><span class="lineno"> 885</span> </div><div class="line"><a name="l00886"></a><span class="lineno"> 886</span> <span class="comment">// QAsymm8</span></div><div class="line"><a name="l00887"></a><span class="lineno"> 887</span> <span class="keyword">template</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8></a>, 4></div><div class="line"><a name="l00888"></a><span class="lineno"> 888</span> ResizeBilinearNopTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00889"></a><span class="lineno"> 889</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00890"></a><span class="lineno"> 890</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00891"></a><span class="lineno"> 891</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00892"></a><span class="lineno"> 892</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00893"></a><span class="lineno"> 893</span> </div><div class="line"><a name="l00894"></a><span class="lineno"> 894</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00895"></a><span class="lineno"> 895</span> SimpleResizeBilinearTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00896"></a><span class="lineno"> 896</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00897"></a><span class="lineno"> 897</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00898"></a><span class="lineno"> 898</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00899"></a><span class="lineno"> 899</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00900"></a><span class="lineno"> 900</span> </div><div class="line"><a name="l00901"></a><span class="lineno"> 901</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00902"></a><span class="lineno"> 902</span> ResizeBilinearSqMinTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00903"></a><span class="lineno"> 903</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00904"></a><span class="lineno"> 904</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00905"></a><span class="lineno"> 905</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00906"></a><span class="lineno"> 906</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00907"></a><span class="lineno"> 907</span> </div><div class="line"><a name="l00908"></a><span class="lineno"> 908</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00909"></a><span class="lineno"> 909</span> ResizeBilinearMinTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00910"></a><span class="lineno"> 910</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00911"></a><span class="lineno"> 911</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00912"></a><span class="lineno"> 912</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00913"></a><span class="lineno"> 913</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00914"></a><span class="lineno"> 914</span> </div><div class="line"><a name="l00915"></a><span class="lineno"> 915</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00916"></a><span class="lineno"> 916</span> ResizeBilinearMagTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00917"></a><span class="lineno"> 917</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00918"></a><span class="lineno"> 918</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00919"></a><span class="lineno"> 919</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00920"></a><span class="lineno"> 920</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00921"></a><span class="lineno"> 921</span> </div><div class="line"><a name="l00922"></a><span class="lineno"> 922</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00923"></a><span class="lineno"> 923</span> ResizeNearestNeighborNopTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00924"></a><span class="lineno"> 924</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00925"></a><span class="lineno"> 925</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00926"></a><span class="lineno"> 926</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00927"></a><span class="lineno"> 927</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00928"></a><span class="lineno"> 928</span> </div><div class="line"><a name="l00929"></a><span class="lineno"> 929</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00930"></a><span class="lineno"> 930</span> SimpleResizeNearestNeighborTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00931"></a><span class="lineno"> 931</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00932"></a><span class="lineno"> 932</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00933"></a><span class="lineno"> 933</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00934"></a><span class="lineno"> 934</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00935"></a><span class="lineno"> 935</span> </div><div class="line"><a name="l00936"></a><span class="lineno"> 936</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00937"></a><span class="lineno"> 937</span> ResizeNearestNeighborSqMinTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00938"></a><span class="lineno"> 938</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00939"></a><span class="lineno"> 939</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00940"></a><span class="lineno"> 940</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00941"></a><span class="lineno"> 941</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00942"></a><span class="lineno"> 942</span> </div><div class="line"><a name="l00943"></a><span class="lineno"> 943</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00944"></a><span class="lineno"> 944</span> ResizeNearestNeighborMinTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00945"></a><span class="lineno"> 945</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00946"></a><span class="lineno"> 946</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00947"></a><span class="lineno"> 947</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00948"></a><span class="lineno"> 948</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00949"></a><span class="lineno"> 949</span> </div><div class="line"><a name="l00950"></a><span class="lineno"> 950</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l00951"></a><span class="lineno"> 951</span> ResizeNearestNeighborMagTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l00952"></a><span class="lineno"> 952</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00953"></a><span class="lineno"> 953</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00954"></a><span class="lineno"> 954</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00955"></a><span class="lineno"> 955</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l00956"></a><span class="lineno"> 956</span>  <span class="keywordtype">float</span> inQuantScale,</div><div class="line"><a name="l00957"></a><span class="lineno"> 957</span>  int32_t inQuantOffset,</div><div class="line"><a name="l00958"></a><span class="lineno"> 958</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l00959"></a><span class="lineno"> 959</span>  int32_t outQuantOffset);</div><div class="line"><a name="l00960"></a><span class="lineno"> 960</span> </div><div class="line"><a name="l00961"></a><span class="lineno"> 961</span> <span class="keyword">template</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8></a>, 4></div><div class="line"><a name="l00962"></a><span class="lineno"> 962</span> HalfPixelCentersResizeBilinearTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l00963"></a><span class="lineno"> 963</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00964"></a><span class="lineno"> 964</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00965"></a><span class="lineno"> 965</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00966"></a><span class="lineno"> 966</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00967"></a><span class="lineno"> 967</span> </div><div class="line"><a name="l00968"></a><span class="lineno"> 968</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l00969"></a><span class="lineno"> 969</span> AlignCornersResizeBilinearTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l00970"></a><span class="lineno"> 970</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00971"></a><span class="lineno"> 971</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00972"></a><span class="lineno"> 972</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00973"></a><span class="lineno"> 973</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00974"></a><span class="lineno"> 974</span> </div><div class="line"><a name="l00975"></a><span class="lineno"> 975</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l00976"></a><span class="lineno"> 976</span> HalfPixelCentersResizeNearestNeighbourTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l00977"></a><span class="lineno"> 977</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00978"></a><span class="lineno"> 978</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00979"></a><span class="lineno"> 979</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00980"></a><span class="lineno"> 980</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00981"></a><span class="lineno"> 981</span> </div><div class="line"><a name="l00982"></a><span class="lineno"> 982</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l00983"></a><span class="lineno"> 983</span> AlignCornersResizeNearestNeighbourTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l00984"></a><span class="lineno"> 984</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00985"></a><span class="lineno"> 985</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00986"></a><span class="lineno"> 986</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00987"></a><span class="lineno"> 987</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00988"></a><span class="lineno"> 988</span> </div><div class="line"><a name="l00989"></a><span class="lineno"> 989</span> <span class="comment">// QAsymmS8</span></div><div class="line"><a name="l00990"></a><span class="lineno"> 990</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l00991"></a><span class="lineno"> 991</span> ResizeBilinearNopTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l00992"></a><span class="lineno"> 992</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00993"></a><span class="lineno"> 993</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l00994"></a><span class="lineno"> 994</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l00995"></a><span class="lineno"> 995</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l00996"></a><span class="lineno"> 996</span> </div><div class="line"><a name="l00997"></a><span class="lineno"> 997</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l00998"></a><span class="lineno"> 998</span> SimpleResizeBilinearTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l00999"></a><span class="lineno"> 999</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01003"></a><span class="lineno"> 1003</span> </div><div class="line"><a name="l01004"></a><span class="lineno"> 1004</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01005"></a><span class="lineno"> 1005</span> ResizeBilinearSqMinTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01010"></a><span class="lineno"> 1010</span> </div><div class="line"><a name="l01011"></a><span class="lineno"> 1011</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01012"></a><span class="lineno"> 1012</span> ResizeBilinearMinTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01017"></a><span class="lineno"> 1017</span> </div><div class="line"><a name="l01018"></a><span class="lineno"> 1018</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01019"></a><span class="lineno"> 1019</span> ResizeBilinearMagTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01024"></a><span class="lineno"> 1024</span> </div><div class="line"><a name="l01025"></a><span class="lineno"> 1025</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01026"></a><span class="lineno"> 1026</span> ResizeNearestNeighborNopTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01031"></a><span class="lineno"> 1031</span> </div><div class="line"><a name="l01032"></a><span class="lineno"> 1032</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01033"></a><span class="lineno"> 1033</span> SimpleResizeNearestNeighborTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01038"></a><span class="lineno"> 1038</span> </div><div class="line"><a name="l01039"></a><span class="lineno"> 1039</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01040"></a><span class="lineno"> 1040</span> ResizeNearestNeighborSqMinTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01045"></a><span class="lineno"> 1045</span> </div><div class="line"><a name="l01046"></a><span class="lineno"> 1046</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01047"></a><span class="lineno"> 1047</span> ResizeNearestNeighborMinTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01052"></a><span class="lineno"> 1052</span> </div><div class="line"><a name="l01053"></a><span class="lineno"> 1053</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmS8>, 4></div><div class="line"><a name="l01054"></a><span class="lineno"> 1054</span> ResizeNearestNeighborMagTest<armnn::DataType::QAsymmS8>(</div><div class="line"><a name="l01055"></a><span class="lineno"> 1055</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>  <span class="keywordtype">float</span> inQuantScale,</div><div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>  int32_t inQuantOffset,</div><div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>  int32_t outQuantOffset);</div><div class="line"><a name="l01063"></a><span class="lineno"> 1063</span> </div><div class="line"><a name="l01064"></a><span class="lineno"> 1064</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span> HalfPixelCentersResizeBilinearTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01070"></a><span class="lineno"> 1070</span> </div><div class="line"><a name="l01071"></a><span class="lineno"> 1071</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l01072"></a><span class="lineno"> 1072</span> AlignCornersResizeBilinearTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01077"></a><span class="lineno"> 1077</span> </div><div class="line"><a name="l01078"></a><span class="lineno"> 1078</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l01079"></a><span class="lineno"> 1079</span> HalfPixelCentersResizeNearestNeighbourTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01084"></a><span class="lineno"> 1084</span> </div><div class="line"><a name="l01085"></a><span class="lineno"> 1085</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QAsymmU8>, 4></div><div class="line"><a name="l01086"></a><span class="lineno"> 1086</span> AlignCornersResizeNearestNeighbourTest<armnn::DataType::QAsymmU8>(</div><div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01091"></a><span class="lineno"> 1091</span> </div><div class="line"><a name="l01092"></a><span class="lineno"> 1092</span> <span class="comment">// QSymm16</span></div><div class="line"><a name="l01093"></a><span class="lineno"> 1093</span> <span class="keyword">template</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16></a>, 4></div><div class="line"><a name="l01094"></a><span class="lineno"> 1094</span> ResizeBilinearNopTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01095"></a><span class="lineno"> 1095</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01096"></a><span class="lineno"> 1096</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01097"></a><span class="lineno"> 1097</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01098"></a><span class="lineno"> 1098</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01099"></a><span class="lineno"> 1099</span> </div><div class="line"><a name="l01100"></a><span class="lineno"> 1100</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01101"></a><span class="lineno"> 1101</span> SimpleResizeBilinearTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01102"></a><span class="lineno"> 1102</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01103"></a><span class="lineno"> 1103</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01104"></a><span class="lineno"> 1104</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01105"></a><span class="lineno"> 1105</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01106"></a><span class="lineno"> 1106</span> </div><div class="line"><a name="l01107"></a><span class="lineno"> 1107</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01108"></a><span class="lineno"> 1108</span> ResizeBilinearSqMinTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01109"></a><span class="lineno"> 1109</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01110"></a><span class="lineno"> 1110</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01111"></a><span class="lineno"> 1111</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01112"></a><span class="lineno"> 1112</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01113"></a><span class="lineno"> 1113</span> </div><div class="line"><a name="l01114"></a><span class="lineno"> 1114</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01115"></a><span class="lineno"> 1115</span> ResizeBilinearMinTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01116"></a><span class="lineno"> 1116</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01117"></a><span class="lineno"> 1117</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01118"></a><span class="lineno"> 1118</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01119"></a><span class="lineno"> 1119</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01120"></a><span class="lineno"> 1120</span> </div><div class="line"><a name="l01121"></a><span class="lineno"> 1121</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01122"></a><span class="lineno"> 1122</span> ResizeBilinearMagTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01123"></a><span class="lineno"> 1123</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01124"></a><span class="lineno"> 1124</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01125"></a><span class="lineno"> 1125</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01126"></a><span class="lineno"> 1126</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01127"></a><span class="lineno"> 1127</span> </div><div class="line"><a name="l01128"></a><span class="lineno"> 1128</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01129"></a><span class="lineno"> 1129</span> ResizeNearestNeighborNopTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01130"></a><span class="lineno"> 1130</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01131"></a><span class="lineno"> 1131</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01132"></a><span class="lineno"> 1132</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01133"></a><span class="lineno"> 1133</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01134"></a><span class="lineno"> 1134</span> </div><div class="line"><a name="l01135"></a><span class="lineno"> 1135</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01136"></a><span class="lineno"> 1136</span> SimpleResizeNearestNeighborTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01137"></a><span class="lineno"> 1137</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01138"></a><span class="lineno"> 1138</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01139"></a><span class="lineno"> 1139</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01140"></a><span class="lineno"> 1140</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01141"></a><span class="lineno"> 1141</span> </div><div class="line"><a name="l01142"></a><span class="lineno"> 1142</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01143"></a><span class="lineno"> 1143</span> ResizeNearestNeighborSqMinTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01144"></a><span class="lineno"> 1144</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01145"></a><span class="lineno"> 1145</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01146"></a><span class="lineno"> 1146</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01147"></a><span class="lineno"> 1147</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01148"></a><span class="lineno"> 1148</span> </div><div class="line"><a name="l01149"></a><span class="lineno"> 1149</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01150"></a><span class="lineno"> 1150</span> ResizeNearestNeighborMinTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01151"></a><span class="lineno"> 1151</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01152"></a><span class="lineno"> 1152</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01153"></a><span class="lineno"> 1153</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01154"></a><span class="lineno"> 1154</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01155"></a><span class="lineno"> 1155</span> </div><div class="line"><a name="l01156"></a><span class="lineno"> 1156</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01157"></a><span class="lineno"> 1157</span> ResizeNearestNeighborMagTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01158"></a><span class="lineno"> 1158</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01159"></a><span class="lineno"> 1159</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01160"></a><span class="lineno"> 1160</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01161"></a><span class="lineno"> 1161</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout,</div><div class="line"><a name="l01162"></a><span class="lineno"> 1162</span>  <span class="keywordtype">float</span> inQuantScale,</div><div class="line"><a name="l01163"></a><span class="lineno"> 1163</span>  int32_t inQuantOffset,</div><div class="line"><a name="l01164"></a><span class="lineno"> 1164</span>  <span class="keywordtype">float</span> outQuantScale,</div><div class="line"><a name="l01165"></a><span class="lineno"> 1165</span>  int32_t outQuantOffset);</div><div class="line"><a name="l01166"></a><span class="lineno"> 1166</span> </div><div class="line"><a name="l01167"></a><span class="lineno"> 1167</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01168"></a><span class="lineno"> 1168</span> HalfPixelCentersResizeBilinearTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01169"></a><span class="lineno"> 1169</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01170"></a><span class="lineno"> 1170</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01171"></a><span class="lineno"> 1171</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01172"></a><span class="lineno"> 1172</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01173"></a><span class="lineno"> 1173</span> </div><div class="line"><a name="l01174"></a><span class="lineno"> 1174</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01175"></a><span class="lineno"> 1175</span> AlignCornersResizeBilinearTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01176"></a><span class="lineno"> 1176</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01177"></a><span class="lineno"> 1177</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01178"></a><span class="lineno"> 1178</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01179"></a><span class="lineno"> 1179</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01180"></a><span class="lineno"> 1180</span> </div><div class="line"><a name="l01181"></a><span class="lineno"> 1181</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01182"></a><span class="lineno"> 1182</span> HalfPixelCentersResizeNearestNeighbourTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01183"></a><span class="lineno"> 1183</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01184"></a><span class="lineno"> 1184</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01185"></a><span class="lineno"> 1185</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01186"></a><span class="lineno"> 1186</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</div><div class="line"><a name="l01187"></a><span class="lineno"> 1187</span> </div><div class="line"><a name="l01188"></a><span class="lineno"> 1188</span> <span class="keyword">template</span> LayerTestResult<armnn::ResolveType<armnn::DataType::QSymmS16>, 4></div><div class="line"><a name="l01189"></a><span class="lineno"> 1189</span> AlignCornersResizeNearestNeighbourTest<armnn::DataType::QSymmS16>(</div><div class="line"><a name="l01190"></a><span class="lineno"> 1190</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l01191"></a><span class="lineno"> 1191</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>& memoryManager,</div><div class="line"><a name="l01192"></a><span class="lineno"> 1192</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a>& tensorHandleFactory,</div><div class="line"><a name="l01193"></a><span class="lineno"> 1193</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout);</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="_data_layout_indexed_8hpp_xhtml"><div class="ttname"><a href="_data_layout_indexed_8hpp.xhtml">DataLayoutIndexed.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a></div><div class="ttdeci">DataLayout</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00050">Types.hpp:50</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a33aeb82b9051e33b3bca1b2425931576"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a33aeb82b9051e33b3bca1b2425931576">ResizeNearestNeighborNopTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeNearestNeighborNopTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00350">ResizeTestImpl.cpp:350</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="_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#l00022">WorkloadFactory.hpp:22</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="_cl_layer_tests_8cpp_xhtml_a2289f9e7fac0ce47801448e873b04303"><div class="ttname"><a href="_cl_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a></div><div class="ttdeci">DataLayout::NCHW false</div><div class="ttdef"><b>Definition:</b> <a href="_cl_layer_tests_8cpp_source.xhtml#l00135">ClLayerTests.cpp:135</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a869254cb56968986a78a79e1d6d4a86b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a869254cb56968986a78a79e1d6d4a86b">armnn::ResizeDescriptor::m_Method</a></div><div class="ttdeci">ResizeMethod m_Method</div><div class="ttdoc">The Interpolation method to use (Bilinear, NearestNeighbor). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00821">Descriptors.hpp:821</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a0743ed5e860c316a20b68ca96301b411"><div class="ttname"><a href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a></div><div class="ttdeci">typename ResolveTypeImpl< DT >::Type ResolveType</div><div class="ttdef"><b>Definition:</b> <a href="_resolve_type_8hpp_source.xhtml#l00073">ResolveType.hpp:73</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__software__tools_8dox_source.xhtml#l00006">01_00_software_tools.dox:6</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 &&...)</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="_resize_test_impl_8cpp_xhtml_a47f85f2efb30c1bbefa26b5870cb679a"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a47f85f2efb30c1bbefa26b5870cb679a">ResizeNearestNeighborSqMinTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeNearestNeighborSqMinTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00424">ResizeTestImpl.cpp:424</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#l00057">WorkloadData.hpp:57</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a2cf15f90d138a0d77b7d1b7f36f16a5e"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a2cf15f90d138a0d77b7d1b7f36f16a5e">SimpleResizeNearestNeighborTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > SimpleResizeNearestNeighborTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00384">ResizeTestImpl.cpp:384</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_add4e120720dcb11922c35ef356ff56b0"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#add4e120720dcb11922c35ef356ff56b0">ResizeNearestNeighborMagTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeNearestNeighborMagTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout, float inQuantScale, int32_t inQuantOffset, float outQuantScale, int32_t outQuantOffset)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00504">ResizeTestImpl.cpp:504</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a4119b16ebc3a6d284994fb31bc1bae5c"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a4119b16ebc3a6d284994fb31bc1bae5c">SimpleResizeBilinearTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > SimpleResizeBilinearTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00185">ResizeTestImpl.cpp:185</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_resize_queue_descriptor.xhtml">armnn::ResizeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00321">WorkloadData.hpp:321</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_aa2db2e196bb06946a3daf8175a14c13d"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#aa2db2e196bb06946a3daf8175a14c13d">ResizeBilinearNopTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeBilinearNopTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00151">ResizeTestImpl.cpp:151</a></div></div>
<div class="ttc" id="_data_layout_utils_8hpp_xhtml_a2f264435e93ad5aab7ac9e1dec4a4e93"><div class="ttname"><a href="_data_layout_utils_8hpp.xhtml#a2f264435e93ad5aab7ac9e1dec4a4e93">PermuteTensorNchwToNhwc</a></div><div class="ttdeci">void PermuteTensorNchwToNhwc(armnn::TensorInfo &tensorInfo, std::vector< T > &tensorData)</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_utils_8hpp_source.xhtml#l00014">DataLayoutUtils.hpp:14</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="_permute_8hpp_xhtml"><div class="ttname"><a href="_permute_8hpp.xhtml">Permute.hpp</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00032">Types.hpp:32</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a84377c94a59c589dbf419f838c4b9119"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a84377c94a59c589dbf419f838c4b9119">armnn::IWorkloadFactory::CreateResize</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateResize(const ResizeQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01626">WorkloadFactory.cpp:1626</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a930715e04e1f3339a4fb12884400cd1f"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a930715e04e1f3339a4fb12884400cd1f">AlignCornersResizeBilinearTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > AlignCornersResizeBilinearTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00588">ResizeTestImpl.cpp:588</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< IMemoryManager > 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="classarmnn_utils_1_1_data_layout_indexed_xhtml"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout...</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.xhtml#l00017">DataLayoutIndexed.hpp:17</a></div></div>
<div class="ttc" id="_resize_test_impl_8hpp_xhtml"><div class="ttname"><a href="_resize_test_impl_8hpp.xhtml">ResizeTestImpl.hpp</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_adcf5037208faac36c0788239a073f75c"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#adcf5037208faac36c0788239a073f75c">armnn::ResizeDescriptor::m_TargetWidth</a></div><div class="ttdeci">uint32_t m_TargetWidth</div><div class="ttdoc">Target width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00816">Descriptors.hpp:816</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a4022d5107338aaf5eb7abebf78a1360b"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a4022d5107338aaf5eb7abebf78a1360b">armnn::ResizeDescriptor::m_HalfPixelCenters</a></div><div class="ttdeci">bool m_HalfPixelCenters</div><div class="ttdoc">Half Pixel Centers. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00827">Descriptors.hpp:827</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="_resize_test_impl_8cpp_xhtml_a0fb2443480d1dfe96d56934d5bc881ef"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a0fb2443480d1dfe96d56934d5bc881ef">ResizeNearestNeighborMinTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeNearestNeighborMinTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00465">ResizeTestImpl.cpp:465</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a46c3fa15c46fb0d1dcdc24d0ea5cb5cd"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a46c3fa15c46fb0d1dcdc24d0ea5cb5cd">armnn::ResizeDescriptor::m_TargetHeight</a></div><div class="ttdeci">uint32_t m_TargetHeight</div><div class="ttdoc">Target height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00818">Descriptors.hpp:818</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a3f28f588088eee189083910b9288fbbe"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a3f28f588088eee189083910b9288fbbe">HalfPixelCentersResizeBilinearTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > HalfPixelCentersResizeBilinearTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00550">ResizeTestImpl.cpp:550</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_ae1a4b3b6c60552509b89747cebb900a2"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#ae1a4b3b6c60552509b89747cebb900a2">armnn::ResizeDescriptor::m_AlignCorners</a></div><div class="ttdeci">bool m_AlignCorners</div><div class="ttdoc">Aligned corners. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00825">Descriptors.hpp:825</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_ab6c56ff0b93e3d1b0ebb45d32fd107c0"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#ab6c56ff0b93e3d1b0ebb45d32fd107c0">ResizeBilinearMinTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeBilinearMinTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00266">ResizeTestImpl.cpp:266</a></div></div>
<div class="ttc" id="_tensor_utils_8hpp_xhtml"><div class="ttname"><a href="_tensor_utils_8hpp.xhtml">TensorUtils.hpp</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="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a92001d5535a952b1662208b56e4c1a0d"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a92001d5535a952b1662208b56e4c1a0d">ResizeBilinearSqMinTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeBilinearSqMinTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00225">ResizeTestImpl.cpp:225</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="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4">armnn::ResizeMethod</a></div><div class="ttdeci">ResizeMethod</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00119">Types.hpp:119</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="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</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="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
<div class="ttc" id="structarmnn_1_1_resize_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_resize_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::ResizeDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00823">Descriptors.hpp:823</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a2ba1ab96c229cb98604c2e78704f9415"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a2ba1ab96c229cb98604c2e78704f9415">HalfPixelCentersResizeNearestNeighbourTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > HalfPixelCentersResizeNearestNeighbourTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00617">ResizeTestImpl.cpp:617</a></div></div>
<div class="ttc" id="_data_layout_utils_8hpp_xhtml"><div class="ttname"><a href="_data_layout_utils_8hpp.xhtml">DataLayoutUtils.hpp</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< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo) const =0</div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_a87ea44986ca2ae678f417953cbf25fba"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#a87ea44986ca2ae678f417953cbf25fba">ResizeBilinearMagTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > ResizeBilinearMagTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00305">ResizeTestImpl.cpp:305</a></div></div>
<div class="ttc" id="_resize_test_impl_8cpp_xhtml_ac09a538acbdd15c12ba5e141ce3d2c6c"><div class="ttname"><a href="_resize_test_impl_8cpp.xhtml#ac09a538acbdd15c12ba5e141ce3d2c6c">AlignCornersResizeNearestNeighbourTest</a></div><div class="ttdeci">LayerTestResult< T, 4 > AlignCornersResizeNearestNeighbourTest(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager, const armnn::ITensorHandleFactory &tensorHandleFactory, const armnn::DataLayout dataLayout)</div><div class="ttdef"><b>Definition:</b> <a href="_resize_test_impl_8cpp_source.xhtml#l00648">ResizeTestImpl.cpp:648</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</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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