Updating Doxygen documentation for 20.05 release.
Change-Id: I4d624343ed5fd6ae269c3d53532903084508fd14
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+<div class="title">SpaceToBatchNdTestImpl.cpp</div> </div>
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+<a href="_space_to_batch_nd_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 © 2017 Arm Ltd. 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="_space_to_batch_nd_test_impl_8hpp.xhtml">SpaceToBatchNdTestImpl.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> <span class="preprocessor">#include <<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>></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> </div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>></span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> </div><div class="line"><a name="l00014"></a><span class="lineno"> 14</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="l00015"></a><span class="lineno"> 15</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="l00016"></a><span class="lineno"> 16</span> </div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="preprocessor">#include <<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.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="keyword">namespace</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> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdTestImpl(</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</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="l00026"></a><span class="lineno"> 26</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& inputTensorInfo,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>& outputTensorInfo,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  std::vector<float>& inputData,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  std::vector<float>& outputExpectedData,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a> descriptor,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> qScale = 1.0f,</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keyword">const</span> int32_t qOffset = 0)</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> NCHWToNHWC = {0, 3, 1, 2};</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">if</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_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> == <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  inputTensorInfo = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(inputTensorInfo, NCHWToNHWC);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  outputTensorInfo = <a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(outputTensorInfo, NCHWToNHWC);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::vector<float> inputTmp(inputData.size());</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <a class="code" href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), NCHWToNHWC,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  inputData.data(), inputTmp.data(), <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  inputData = inputTmp;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  std::vector<float> outputTmp(outputExpectedData.size());</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <a class="code" href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), NCHWToNHWC,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  outputExpectedData.data(), outputTmp.data(), <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  outputExpectedData = outputTmp;</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> </div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">if</span>(armnn::IsQuantizedType<T>())</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>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</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>  boost::multi_array<T, 4> input = MakeTensor<T, 4>(inputTensorInfo,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  armnnUtils::QuantizedVector<T>(inputData, qScale, qOffset));</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> ret(outputTensorInfo);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  ret.outputExpected = MakeTensor<T, 4>(outputTensorInfo,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  armnnUtils::QuantizedVector<T>(outputExpectedData, qScale, qOffset));</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  std::unique_ptr<armnn::ITensorHandle> inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  std::unique_ptr<armnn::ITensorHandle> outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> </div><div class="line"><a name="l00070"></a><span class="lineno"> 70</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="l00071"></a><span class="lineno"> 71</span>  AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  std::unique_ptr<armnn::IWorkload> workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a44e7aebc021646becc3f32722e22553e">CreateSpaceToBatchNd</a>(descriptor, info);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  inputHandle->Allocate();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  outputHandle->Allocate();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &input[0][0][0][0]);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  workload->Execute();</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> }</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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdSimpleTest(</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</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="l00092"></a><span class="lineno"> 92</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {1, 1, 2, 2};</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {4, 1, 1, 1};</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a> desc;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> = {2, 2};</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = {{0, 0}, {0, 0}};</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>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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>  std::vector<float> input = std::vector<float>(</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  });</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  std::vector<float> outputExpected = std::vector<float>(</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  1.0f, 2.0f, 3.0f, 4.0f</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> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> SpaceToBatchNdTestImpl<T>(</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> }</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdMultiChannelsTest(</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</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="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>)</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {1, 3, 2, 2};</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {4, 3, 1, 1};</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a> desc;</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> = {2, 2};</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> </div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  std::vector<float> input = std::vector<float>(</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>  1.0f, 4.0f, 7.0f, 10.0f,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  2.0f, 5.0, 8.0, 11.0f,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  3.0f, 6.0f, 9.0f, 12.0f</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  });</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  std::vector<float> outputExpected = std::vector<float>(</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  {</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  10.0f, 11.0f, 12.0f</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  });</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>  <span class="keywordflow">return</span> SpaceToBatchNdTestImpl<T>(</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> }</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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdMultiBlockTest(</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</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="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>)</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> </div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {1, 1, 4, 4};</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {4, 1, 2, 2};</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a> desc;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> = {2, 2};</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = {{0, 0}, {0, 0}};</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span> </div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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>  std::vector<float> input = std::vector<float>(</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>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  13.0f, 14.0f, 15.0f, 16.0f</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  });</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  std::vector<float> outputExpected = std::vector<float>(</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>  1.0f, 3.0f, 9.0f, 11.0f,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  2.0f, 4.0f, 10.0f, 12.0f,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  5.0f, 7.0f, 13.0f, 15.0f,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  6.0f, 8.0f, 14.0f, 16.0f</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  });</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <span class="keywordflow">return</span> SpaceToBatchNdTestImpl<T>(</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</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> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdPaddingTest(</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</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="l00205"></a><span class="lineno"> 205</span>  <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout = <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>)</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>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = {2, 1, 2, 4};</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = {8, 1, 1, 3};</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a> desc;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">m_BlockShape</a> = {2, 2};</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = {{0, 0}, {2, 0}};</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>  inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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>  std::vector<float> input = std::vector<float>(</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>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  13.0f, 14.0f, 15.0f, 16.0f</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  });</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  std::vector<float> outputExpected = std::vector<float>(</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>  0.0f, 1.0f, 3.0f,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  0.0f, 9.0f, 11.0f,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  0.0f, 2.0f, 4.0f,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  0.0f, 10.0f, 12.0f,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  0.0f, 5.0f, 7.0f,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  0.0f, 13.0f, 15.0f,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  0.0f, 6.0f, 8.0f,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  0.0f, 14.0f, 16.0f</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> </div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">return</span> SpaceToBatchNdTestImpl<T>(</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span> }</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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdSimpleNhwcTest(</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</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="l00249"></a><span class="lineno"> 249</span> {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest<ArmnnType>(workloadFactory, memoryManager, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span> }</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> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdMultiChannelsNhwcTest(</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</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="l00257"></a><span class="lineno"> 257</span> {</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest<ArmnnType>(workloadFactory, memoryManager, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</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> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdMultiBlockNhwcTest(</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</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="l00265"></a><span class="lineno"> 265</span> {</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest<ArmnnType>(workloadFactory, memoryManager, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> }</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span> </div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span> <span class="keyword">template</span><armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType<ArmnnType>></div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<T, 4></a> SpaceToBatchNdPaddingNhwcTest(</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</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="l00273"></a><span class="lineno"> 273</span> {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest<ArmnnType>(workloadFactory, memoryManager, <a class="code" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>);</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> </div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span> } <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a315f685be66477959778be9ae2af7ce8"> 279</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a315f685be66477959778be9ae2af7ce8">SpaceToBatchNdSimpleFloat32Test</a>(</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</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="l00282"></a><span class="lineno"> 282</span> {</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00286"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a20451e449b1dbd11ae7b5bc0f8c165b4"> 286</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a20451e449b1dbd11ae7b5bc0f8c165b4">SpaceToBatchNdMultiChannelsFloat32Test</a>(</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</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="l00289"></a><span class="lineno"> 289</span> {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00293"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a94c4a99a32d0e4d289b16a71f5a977f6"> 293</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a94c4a99a32d0e4d289b16a71f5a977f6">SpaceToBatchNdMultiBlockFloat32Test</a>(</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</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="l00296"></a><span class="lineno"> 296</span> {</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00300"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#aa08588825c1eb4d084317dbd60e46844"> 300</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#aa08588825c1eb4d084317dbd60e46844">SpaceToBatchNdPaddingFloat32Test</a>(</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</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="l00303"></a><span class="lineno"> 303</span> {</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> }</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span> </div><div class="line"><a name="l00307"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a6b415e005c8b95ac63b032b6c50c1c80"> 307</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a6b415e005c8b95ac63b032b6c50c1c80">SpaceToBatchNdSimpleFloat16Test</a>(</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</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="l00310"></a><span class="lineno"> 310</span> {</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span> }</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div><div class="line"><a name="l00314"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a0f355e2bbdb148188515952ce8174915"> 314</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a0f355e2bbdb148188515952ce8174915">SpaceToBatchNdMultiChannelsFloat16Test</a>(</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</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="l00317"></a><span class="lineno"> 317</span> {</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00321"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#af4b9d4dbd1e7d946a6cc00138b675077"> 321</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#af4b9d4dbd1e7d946a6cc00138b675077">SpaceToBatchNdMultiBlockFloat16Test</a>(</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</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="l00324"></a><span class="lineno"> 324</span> {</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> }</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span> </div><div class="line"><a name="l00328"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a48da0a9578dbe9d2808056dacaf81e74"> 328</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a48da0a9578dbe9d2808056dacaf81e74">SpaceToBatchNdPaddingFloat16Test</a>(</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</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="l00331"></a><span class="lineno"> 331</span> {</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span> }</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#ac65c8dd6d74ac7492737ff9f30f1d7fe"> 335</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac65c8dd6d74ac7492737ff9f30f1d7fe">SpaceToBatchNdSimpleUint8Test</a>(</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</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="l00338"></a><span class="lineno"> 338</span> {</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> }</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#ac72292740cd4f5e96548ce322cc9d61d"> 342</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac72292740cd4f5e96548ce322cc9d61d">SpaceToBatchNdMultiChannelsUint8Test</a>(</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</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="l00345"></a><span class="lineno"> 345</span> {</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</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"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#aee2ed5699e992ab910722c6a8fc66fd2"> 349</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#aee2ed5699e992ab910722c6a8fc66fd2">SpaceToBatchNdMultiBlockUint8Test</a>(</div><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</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="l00352"></a><span class="lineno"> 352</span> {</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> }</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div><div class="line"><a name="l00356"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#add116b7aa31dac3c19f6603d8c7adf9f"> 356</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#add116b7aa31dac3c19f6603d8c7adf9f">SpaceToBatchNdPaddingUint8Test</a>(</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</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="l00359"></a><span class="lineno"> 359</span> {</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span> }</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a2f69fcf5799a4b9d2015e2f434235af6"> 363</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a2f69fcf5799a4b9d2015e2f434235af6">SpaceToBatchNdSimpleNhwcFloat32Test</a>(</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</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="l00366"></a><span class="lineno"> 366</span> {</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span> }</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a9cc34ce715c027a3b29beffe9a6018e9"> 370</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a9cc34ce715c027a3b29beffe9a6018e9">SpaceToBatchNdMultiChannelsNhwcFloat32Test</a>(</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</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="l00373"></a><span class="lineno"> 373</span> {</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#ac734c42ca4e1ed7115b863df4fc7d0a7"> 377</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac734c42ca4e1ed7115b863df4fc7d0a7">SpaceToBatchNdMultiBlockNhwcFloat32Test</a>(</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</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="l00380"></a><span class="lineno"> 380</span> {</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a9b7aeb61a28b0878ec0e7b1cb2d8daee"> 384</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<float, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a9b7aeb61a28b0878ec0e7b1cb2d8daee">SpaceToBatchNdPaddingNhwcFloat32Test</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> {</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingNhwcTest<armnn::DataType::Float32>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00391"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a6bf427aaf2d340577e5a98d1917d9398"> 391</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a6bf427aaf2d340577e5a98d1917d9398">SpaceToBatchNdSimpleNhwcFloat16Test</a>(</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</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="l00394"></a><span class="lineno"> 394</span> {</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00398"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#ad31f5654aeccace80f0900eca734377b"> 398</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#ad31f5654aeccace80f0900eca734377b">SpaceToBatchNdMultiChannelsNhwcFloat16Test</a>(</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</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="l00401"></a><span class="lineno"> 401</span> {</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> }</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span> </div><div class="line"><a name="l00405"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#acdb87c8d7dfee48479ebd2cb36f180ff"> 405</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#acdb87c8d7dfee48479ebd2cb36f180ff">SpaceToBatchNdMultiBlockNhwcFloat16Test</a>(</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</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="l00408"></a><span class="lineno"> 408</span> {</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span> }</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span> </div><div class="line"><a name="l00412"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#aa4611c3592cb50d35c651629aa10859b"> 412</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<armnn::Half, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#aa4611c3592cb50d35c651629aa10859b">SpaceToBatchNdPaddingNhwcFloat16Test</a>(</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</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="l00415"></a><span class="lineno"> 415</span> {</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingNhwcTest<armnn::DataType::Float16>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00419"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a882627ba13e61384787567e3b183b974"> 419</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a882627ba13e61384787567e3b183b974">SpaceToBatchNdSimpleNhwcUint8Test</a>(</div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</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="l00422"></a><span class="lineno"> 422</span> {</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span> }</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span> </div><div class="line"><a name="l00426"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a877db889dceb3c5d650e11fc5a202341"> 426</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a877db889dceb3c5d650e11fc5a202341">SpaceToBatchNdMultiChannelsNhwcUint8Test</a>(</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</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="l00429"></a><span class="lineno"> 429</span> {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span> }</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div><div class="line"><a name="l00433"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a3243253d785689cb8ab67640b3d23627"> 433</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a3243253d785689cb8ab67640b3d23627">SpaceToBatchNdMultiBlockNhwcUint8Test</a>(</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</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="l00436"></a><span class="lineno"> 436</span> {</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</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> </div><div class="line"><a name="l00440"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#aa902e6279bcb1cbdff3392f5f3029d3e"> 440</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<uint8_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#aa902e6279bcb1cbdff3392f5f3029d3e">SpaceToBatchNdPaddingNhwcUint8Test</a>(</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</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="l00443"></a><span class="lineno"> 443</span> {</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QAsymmU8>(workloadFactory, memoryManager);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> }</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span> </div><div class="line"><a name="l00447"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a9a6c40f2472520aa803c06bce119ee12"> 447</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a9a6c40f2472520aa803c06bce119ee12">SpaceToBatchNdSimpleUint16Test</a>(</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</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="l00450"></a><span class="lineno"> 450</span> {</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span> }</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00454"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#ac94e911722f7072d94eeb6855ad6513a"> 454</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac94e911722f7072d94eeb6855ad6513a">SpaceToBatchNdMultiChannelsUint16Test</a>(</div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</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="l00457"></a><span class="lineno"> 457</span> {</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span> }</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a303a43765b42bee424ee73f419f3d7bd"> 461</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a303a43765b42bee424ee73f419f3d7bd">SpaceToBatchNdMultiBlockUint16Test</a>(</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</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="l00464"></a><span class="lineno"> 464</span> {</div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> }</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span> </div><div class="line"><a name="l00468"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#abf0f3d46734ac33f97ab3f42347955db"> 468</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#abf0f3d46734ac33f97ab3f42347955db">SpaceToBatchNdPaddingUint16Test</a>(</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</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="l00471"></a><span class="lineno"> 471</span> {</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span> }</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#ad67a8d8c01c89c09a6bbdbc2057876bf"> 475</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#ad67a8d8c01c89c09a6bbdbc2057876bf">SpaceToBatchNdSimpleNhwcUint16Test</a>(</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</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="l00478"></a><span class="lineno"> 478</span> {</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  <span class="keywordflow">return</span> SpaceToBatchNdSimpleNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span> }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div><div class="line"><a name="l00482"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#ac7a2d20540e4ffcd63eee314932877b1"> 482</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac7a2d20540e4ffcd63eee314932877b1">SpaceToBatchNdMultiChannelsNhwcUint16Test</a>(</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</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="l00485"></a><span class="lineno"> 485</span> {</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</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"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a7572290c29c581b35185f584b08ff670"> 489</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a7572290c29c581b35185f584b08ff670">SpaceToBatchNdMultiBlockNhwcUint16Test</a>(</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</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="l00492"></a><span class="lineno"> 492</span> {</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span> }</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div><div class="line"><a name="l00496"></a><span class="lineno"><a class="line" href="_space_to_batch_nd_test_impl_8hpp.xhtml#a2723fd1b14dea631e61e2887f13884e1"> 496</a></span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult<int16_t, 4></a> <a class="code" href="_space_to_batch_nd_test_impl_8cpp.xhtml#a2723fd1b14dea631e61e2887f13884e1">SpaceToBatchNdPaddingNhwcUint16Test</a>(</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>  <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>& workloadFactory,</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</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="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> SpaceToBatchNdPaddingNhwcTest<armnn::DataType::QSymmS16>(workloadFactory, memoryManager);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> }</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="_space_to_batch_nd_test_impl_8cpp_xhtml_af4b9d4dbd1e7d946a6cc00138b675077"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#af4b9d4dbd1e7d946a6cc00138b675077">SpaceToBatchNdMultiBlockFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdMultiBlockFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00321">SpaceToBatchNdTestImpl.cpp:321</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8hpp_xhtml"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8hpp.xhtml">SpaceToBatchNdTestImpl.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#l00049">Types.hpp:49</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00088">Tensor.hpp:88</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a882627ba13e61384787567e3b183b974"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a882627ba13e61384787567e3b183b974">SpaceToBatchNdSimpleNhwcUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdSimpleNhwcUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00419">SpaceToBatchNdTestImpl.cpp:419</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_aa4611c3592cb50d35c651629aa10859b"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#aa4611c3592cb50d35c651629aa10859b">SpaceToBatchNdPaddingNhwcFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdPaddingNhwcFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00412">SpaceToBatchNdTestImpl.cpp:412</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
+<div class="ttc" id="_quantize_helper_8hpp_xhtml"><div class="ttname"><a href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8hpp_source.xhtml#l00021">WorkloadFactory.hpp:21</a></div></div>
+<div class="ttc" id="_workload_test_utils_8hpp_xhtml"><div class="ttname"><a href="_workload_test_utils_8hpp.xhtml">WorkloadTestUtils.hpp</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_ac7a2d20540e4ffcd63eee314932877b1"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac7a2d20540e4ffcd63eee314932877b1">SpaceToBatchNdMultiChannelsNhwcUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdMultiChannelsNhwcUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00482">SpaceToBatchNdTestImpl.cpp:482</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_ac72292740cd4f5e96548ce322cc9d61d"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac72292740cd4f5e96548ce322cc9d61d">SpaceToBatchNdMultiChannelsUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdMultiChannelsUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00342">SpaceToBatchNdTestImpl.cpp:342</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_abf0f3d46734ac33f97ab3f42347955db"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#abf0f3d46734ac33f97ab3f42347955db">SpaceToBatchNdPaddingUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdPaddingUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00468">SpaceToBatchNdTestImpl.cpp:468</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a9cc34ce715c027a3b29beffe9a6018e9"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a9cc34ce715c027a3b29beffe9a6018e9">SpaceToBatchNdMultiChannelsNhwcFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdMultiChannelsNhwcFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00370">SpaceToBatchNdTestImpl.cpp:370</a></div></div>
+<div class="ttc" id="_resolve_type_8hpp_xhtml"><div class="ttname"><a href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a></div></div>
+<div class="ttc" id="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="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a85f98c94e11f65a6b73f831735c040f3">armnn::SpaceToBatchNdDescriptor::m_PadList</a></div><div class="ttdeci">std::vector< std::pair< unsigned int, unsigned int > > m_PadList</div><div class="ttdoc">Specifies the padding values for the input dimension: heightPad{top, bottom} widthPad{left, right}. </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_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a315f685be66477959778be9ae2af7ce8"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a315f685be66477959778be9ae2af7ce8">SpaceToBatchNdSimpleFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdSimpleFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00279">SpaceToBatchNdTestImpl.cpp:279</a></div></div>
+<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a6089e1ca91914015777ea780a513131a">armnn::SpaceToBatchNdDescriptor::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#l00818">Descriptors.hpp:818</a></div></div>
+<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_queue_descriptor.xhtml">armnn::SpaceToBatchNdQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00343">WorkloadData.hpp:343</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_xhtml_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &dstShape, const armnn::PermutationVector &mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00121">Permute.cpp:121</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="_space_to_batch_nd_test_impl_8cpp_xhtml_a94c4a99a32d0e4d289b16a71f5a977f6"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a94c4a99a32d0e4d289b16a71f5a977f6">SpaceToBatchNdMultiBlockFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdMultiBlockFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00293">SpaceToBatchNdTestImpl.cpp:293</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a48da0a9578dbe9d2808056dacaf81e74"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a48da0a9578dbe9d2808056dacaf81e74">SpaceToBatchNdPaddingFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdPaddingFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00328">SpaceToBatchNdTestImpl.cpp:328</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="classarmnn_1_1_i_workload_factory_xhtml_a44e7aebc021646becc3f32722e22553e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a44e7aebc021646becc3f32722e22553e">armnn::IWorkloadFactory::CreateSpaceToBatchNd</a></div><div class="ttdeci">virtual std::unique_ptr< IWorkload > CreateSpaceToBatchNd(const SpaceToBatchNdQueueDescriptor &descriptor, const WorkloadInfo &info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01538">WorkloadFactory.cpp:1538</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a6b415e005c8b95ac63b032b6c50c1c80"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a6b415e005c8b95ac63b032b6c50c1c80">SpaceToBatchNdSimpleFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdSimpleFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00307">SpaceToBatchNdTestImpl.cpp:307</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#l00090">IBackendInternal.hpp:90</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_acdb87c8d7dfee48479ebd2cb36f180ff"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#acdb87c8d7dfee48479ebd2cb36f180ff">SpaceToBatchNdMultiBlockNhwcFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdMultiBlockNhwcFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00405">SpaceToBatchNdTestImpl.cpp:405</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a877db889dceb3c5d650e11fc5a202341"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a877db889dceb3c5d650e11fc5a202341">SpaceToBatchNdMultiChannelsNhwcUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdMultiChannelsNhwcUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00426">SpaceToBatchNdTestImpl.cpp:426</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_add116b7aa31dac3c19f6603d8c7adf9f"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#add116b7aa31dac3c19f6603d8c7adf9f">SpaceToBatchNdPaddingUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdPaddingUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00356">SpaceToBatchNdTestImpl.cpp:356</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00260">Tensor.cpp:260</a></div></div>
+<div class="ttc" id="structarmnn_1_1_space_to_batch_nd_descriptor_xhtml_a02e143524aefddd40b485fcf7dea6696"><div class="ttname"><a href="structarmnn_1_1_space_to_batch_nd_descriptor.xhtml#a02e143524aefddd40b485fcf7dea6696">armnn::SpaceToBatchNdDescriptor::m_BlockShape</a></div><div class="ttdeci">std::vector< unsigned int > m_BlockShape</div><div class="ttdoc">Block shape value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00813">Descriptors.hpp:813</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_ad31f5654aeccace80f0900eca734377b"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#ad31f5654aeccace80f0900eca734377b">SpaceToBatchNdMultiChannelsNhwcFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdMultiChannelsNhwcFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00398">SpaceToBatchNdTestImpl.cpp:398</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="_space_to_batch_nd_test_impl_8cpp_xhtml_aa902e6279bcb1cbdff3392f5f3029d3e"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#aa902e6279bcb1cbdff3392f5f3029d3e">SpaceToBatchNdPaddingNhwcUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdPaddingNhwcUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00440">SpaceToBatchNdTestImpl.cpp:440</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a6bf427aaf2d340577e5a98d1917d9398"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a6bf427aaf2d340577e5a98d1917d9398">SpaceToBatchNdSimpleNhwcFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdSimpleNhwcFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00391">SpaceToBatchNdTestImpl.cpp:391</a></div></div>
+<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a></div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00173">Types.hpp:173</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr< ITensorHandle > CreateTensorHandle(const TensorInfo &tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_ac94e911722f7072d94eeb6855ad6513a"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac94e911722f7072d94eeb6855ad6513a">SpaceToBatchNdMultiChannelsUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdMultiChannelsUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00454">SpaceToBatchNdTestImpl.cpp:454</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a2723fd1b14dea631e61e2887f13884e1"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a2723fd1b14dea631e61e2887f13884e1">SpaceToBatchNdPaddingNhwcUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdPaddingNhwcUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00496">SpaceToBatchNdTestImpl.cpp:496</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a3243253d785689cb8ab67640b3d23627"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a3243253d785689cb8ab67640b3d23627">SpaceToBatchNdMultiBlockNhwcUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdMultiBlockNhwcUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00433">SpaceToBatchNdTestImpl.cpp:433</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a303a43765b42bee424ee73f419f3d7bd"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a303a43765b42bee424ee73f419f3d7bd">SpaceToBatchNdMultiBlockUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdMultiBlockUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00461">SpaceToBatchNdTestImpl.cpp:461</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a7572290c29c581b35185f584b08ff670"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a7572290c29c581b35185f584b08ff670">SpaceToBatchNdMultiBlockNhwcUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdMultiBlockNhwcUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00489">SpaceToBatchNdTestImpl.cpp:489</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="_space_to_batch_nd_test_impl_8cpp_xhtml_ad67a8d8c01c89c09a6bbdbc2057876bf"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#ad67a8d8c01c89c09a6bbdbc2057876bf">SpaceToBatchNdSimpleNhwcUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdSimpleNhwcUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00475">SpaceToBatchNdTestImpl.cpp:475</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_ac734c42ca4e1ed7115b863df4fc7d0a7"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac734c42ca4e1ed7115b863df4fc7d0a7">SpaceToBatchNdMultiBlockNhwcFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdMultiBlockNhwcFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00377">SpaceToBatchNdTestImpl.cpp:377</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_aee2ed5699e992ab910722c6a8fc66fd2"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#aee2ed5699e992ab910722c6a8fc66fd2">SpaceToBatchNdMultiBlockUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdMultiBlockUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00349">SpaceToBatchNdTestImpl.cpp:349</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a2f69fcf5799a4b9d2015e2f434235af6"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a2f69fcf5799a4b9d2015e2f434235af6">SpaceToBatchNdSimpleNhwcFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdSimpleNhwcFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00363">SpaceToBatchNdTestImpl.cpp:363</a></div></div>
+<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about inputs and outputs to a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
+<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00030">LayerTestResult.hpp:30</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00276">Tensor.cpp:276</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_aa08588825c1eb4d084317dbd60e46844"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#aa08588825c1eb4d084317dbd60e46844">SpaceToBatchNdPaddingFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdPaddingFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00300">SpaceToBatchNdTestImpl.cpp:300</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="_space_to_batch_nd_test_impl_8cpp_xhtml_a20451e449b1dbd11ae7b5bc0f8c165b4"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a20451e449b1dbd11ae7b5bc0f8c165b4">SpaceToBatchNdMultiChannelsFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdMultiChannelsFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00286">SpaceToBatchNdTestImpl.cpp:286</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a0f355e2bbdb148188515952ce8174915"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a0f355e2bbdb148188515952ce8174915">SpaceToBatchNdMultiChannelsFloat16Test</a></div><div class="ttdeci">LayerTestResult< armnn::Half, 4 > SpaceToBatchNdMultiChannelsFloat16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00314">SpaceToBatchNdTestImpl.cpp:314</a></div></div>
+<div class="ttc" id="namespacearmnn_utils_xhtml_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00098">Permute.cpp:98</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a9b7aeb61a28b0878ec0e7b1cb2d8daee"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a9b7aeb61a28b0878ec0e7b1cb2d8daee">SpaceToBatchNdPaddingNhwcFloat32Test</a></div><div class="ttdeci">LayerTestResult< float, 4 > SpaceToBatchNdPaddingNhwcFloat32Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00384">SpaceToBatchNdTestImpl.cpp:384</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div></div>
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+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_a9a6c40f2472520aa803c06bce119ee12"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#a9a6c40f2472520aa803c06bce119ee12">SpaceToBatchNdSimpleUint16Test</a></div><div class="ttdeci">LayerTestResult< int16_t, 4 > SpaceToBatchNdSimpleUint16Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00447">SpaceToBatchNdTestImpl.cpp:447</a></div></div>
+<div class="ttc" id="_space_to_batch_nd_test_impl_8cpp_xhtml_ac65c8dd6d74ac7492737ff9f30f1d7fe"><div class="ttname"><a href="_space_to_batch_nd_test_impl_8cpp.xhtml#ac65c8dd6d74ac7492737ff9f30f1d7fe">SpaceToBatchNdSimpleUint8Test</a></div><div class="ttdeci">LayerTestResult< uint8_t, 4 > SpaceToBatchNdSimpleUint8Test(armnn::IWorkloadFactory &workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &memoryManager)</div><div class="ttdef"><b>Definition:</b> <a href="_space_to_batch_nd_test_impl_8cpp_source.xhtml#l00335">SpaceToBatchNdTestImpl.cpp:335</a></div></div>
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