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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>&#160;<span class="comment">//</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_space_to_batch_nd_test_impl_8hpp.xhtml">SpaceToBatchNdTestImpl.hpp</a>&quot;</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_quantize_helper_8hpp.xhtml">QuantizeHelper.hpp</a>&gt;</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_resolve_type_8hpp.xhtml">ResolveType.hpp</a>&gt;</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_permute_8hpp.xhtml">armnnUtils/Permute.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_copy_utils_8hpp.xhtml">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_workload_test_utils_8hpp.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;</div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_helpers_8hpp.xhtml">test/TensorHelpers.hpp</a>&gt;</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;</div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="keyword">namespace</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdTestImpl(</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; inputTensorInfo,</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputTensorInfo,</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    std::vector&lt;float&gt;&amp; inputData,</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    std::vector&lt;float&gt;&amp; outputExpectedData,</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;    <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>&#160;    <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>&#160;    <span class="keyword">const</span> int32_t qOffset = 0)</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;    <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    <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>&#160;    <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>&#160;    {</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;        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>&#160;        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>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;        std::vector&lt;float&gt; inputTmp(inputData.size());</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;        <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>&#160;                            inputData.data(), inputTmp.data(), <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;        inputData = inputTmp;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;        std::vector&lt;float&gt; outputTmp(outputExpectedData.size());</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        <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>&#160;                            outputExpectedData.data(), outputTmp.data(), <span class="keyword">sizeof</span>(float));</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        outputExpectedData = outputTmp;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    }</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    {</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;        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>&#160;        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>&#160;        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>&#160;        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>&#160;    }</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    boost::multi_array&lt;T, 4&gt; input = MakeTensor&lt;T, 4&gt;(inputTensorInfo,</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;                                                      armnnUtils::QuantizedVector&lt;T&gt;(inputData, qScale, qOffset));</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    ret.outputExpected = MakeTensor&lt;T, 4&gt;(outputTensorInfo,</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;                                          armnnUtils::QuantizedVector&lt;T&gt;(outputExpectedData, qScale, qOffset));</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    std::unique_ptr&lt;armnn::IWorkload&gt; 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>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;    inputHandle-&gt;Allocate();</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    outputHandle-&gt;Allocate();</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;    workload-&gt;Execute();</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;    <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;    <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;}</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdSimpleTest(</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    <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>&#160;{</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <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>&#160;    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>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    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>&#160; 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       1.0f, 2.0f, 3.0f, 4.0f</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    });</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdTestImpl&lt;T&gt;(</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;}</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdMultiChannelsTest(</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;    <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>&#160;{</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    <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>&#160;    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>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    std::vector&lt;float&gt; input = std::vector&lt;float&gt;(</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    {</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        1.0f, 4.0f, 7.0f, 10.0f,</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;        2.0f, 5.0, 8.0, 11.0f,</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;        3.0f, 6.0f, 9.0f, 12.0f</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    });</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    std::vector&lt;float&gt; outputExpected = std::vector&lt;float&gt;(</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    {</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;        1.0f, 2.0f, 3.0f,</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        7.0f, 8.0f, 9.0f,</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        10.0f, 11.0f, 12.0f</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    });</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdTestImpl&lt;T&gt;(</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;}</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdMultiBlockTest(</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <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>&#160;{</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <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>&#160;    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>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    std::vector&lt;float&gt; input = std::vector&lt;float&gt;(</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    {</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        13.0f, 14.0f, 15.0f, 16.0f</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    });</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;    std::vector&lt;float&gt; outputExpected = std::vector&lt;float&gt;(</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;    {</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;        1.0f, 3.0f, 9.0f, 11.0f,</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        2.0f, 4.0f, 10.0f, 12.0f,</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;        5.0f, 7.0f, 13.0f, 15.0f,</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;        6.0f, 8.0f, 14.0f, 16.0f</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    });</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdTestImpl&lt;T&gt;(</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;}</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdPaddingTest(</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager,</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    <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>&#160;{</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <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>&#160;    <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>&#160;</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <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>&#160;    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>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;    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>&#160;    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>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    std::vector&lt;float&gt; input = std::vector&lt;float&gt;(</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;    {</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;        5.0f, 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;        9.0f, 10.0f, 11.0f, 12.0f,</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;        13.0f, 14.0f, 15.0f, 16.0f</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    });</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    std::vector&lt;float&gt; outputExpected = std::vector&lt;float&gt;(</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;    {</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;        0.0f, 1.0f, 3.0f,</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        0.0f, 9.0f, 11.0f,</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        0.0f, 2.0f, 4.0f,</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;        0.0f, 10.0f, 12.0f,</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;        0.0f, 5.0f, 7.0f,</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;        0.0f, 13.0f, 15.0f,</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;        0.0f, 6.0f, 8.0f,</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;        0.0f, 14.0f, 16.0f</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    });</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdTestImpl&lt;T&gt;(</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        workloadFactory, memoryManager, inputTensorInfo, outputTensorInfo, input, outputExpected, desc);</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;}</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdSimpleNhwcTest(</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;{</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest&lt;ArmnnType&gt;(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>&#160;}</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdMultiChannelsNhwcTest(</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;{</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest&lt;ArmnnType&gt;(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>&#160;}</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdMultiBlockNhwcTest(</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;{</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest&lt;ArmnnType&gt;(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>&#160;}</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;<span class="keyword">template</span>&lt;armnn::DataType ArmnnType, <span class="keyword">typename</span> T = armnn::ResolveType&lt;ArmnnType&gt;&gt;</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> SpaceToBatchNdPaddingNhwcTest(</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;{</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest&lt;ArmnnType&gt;(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>&#160;}</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;} <span class="comment">// anonymous namespace</span></div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;{</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;}</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;{</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;}</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;{</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;}</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;{</div><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;}</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;{</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;}</div><div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;{</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;}</div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;{</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;}</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;{</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;}</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</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>&#160; 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   <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;{</div><div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;}</div><div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00351"></a><span class="lineno">  351</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00352"></a><span class="lineno">  352</span>&#160;{</div><div class="line"><a name="l00353"></a><span class="lineno">  353</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00354"></a><span class="lineno">  354</span>&#160;}</div><div class="line"><a name="l00355"></a><span class="lineno">  355</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</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>&#160; 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   <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;{</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;}</div><div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160;{</div><div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingNhwcTest&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;}</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;{</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdSimpleNhwcTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;}</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;{</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsNhwcTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;}</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;{</div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;}</div><div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;armnn::Half, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;{</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingNhwcTest&lt;armnn::DataType::Float16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;}</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;{</div><div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdSimpleNhwcTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160;}</div><div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;{</div><div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsNhwcTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;}</div><div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;{</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;}</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;uint8_t, 4&gt;</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>&#160;    <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;{</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingNhwcTest&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;}</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;{</div><div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdSimpleTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;}</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;{</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;}</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160;{</div><div class="line"><a name="l00465"></a><span class="lineno">  465</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;}</div><div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;{</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;}</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;{</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdSimpleNhwcTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;}</div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;{</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiChannelsNhwcTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;}</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;{</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdMultiBlockNhwcTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;}</div><div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;</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>&#160;<a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;int16_t, 4&gt;</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>&#160;        <a class="code" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a>&amp; workloadFactory,</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a>&amp; memoryManager)</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;{</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;    <span class="keywordflow">return</span> SpaceToBatchNdPaddingNhwcTest&lt;armnn::DataType::QSymmS16&gt;(workloadFactory, memoryManager);</div><div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;}</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&lt; armnn::Half, 4 &gt; SpaceToBatchNdMultiBlockFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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 &amp; 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&lt; uint8_t, 4 &gt; SpaceToBatchNdSimpleNhwcUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; armnn::Half, 4 &gt; SpaceToBatchNdPaddingNhwcFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; int16_t, 4 &gt; SpaceToBatchNdMultiChannelsNhwcUint16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; uint8_t, 4 &gt; SpaceToBatchNdMultiChannelsUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; int16_t, 4 &gt; SpaceToBatchNdPaddingUint16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; float, 4 &gt; SpaceToBatchNdMultiChannelsNhwcFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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 &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
+<div class="ttc" id="structarmnn_1_1_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&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; 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&lt; float, 4 &gt; SpaceToBatchNdSimpleFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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 &amp;dstShape, const armnn::PermutationVector &amp;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&lt; float, 4 &gt; SpaceToBatchNdMultiBlockFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; armnn::Half, 4 &gt; SpaceToBatchNdPaddingFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; IWorkload &gt; CreateSpaceToBatchNd(const SpaceToBatchNdQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;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&lt; armnn::Half, 4 &gt; SpaceToBatchNdSimpleFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; IMemoryManager &gt; IMemoryManagerSharedPtr</div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml#l00090">IBackendInternal.hpp:90</a></div></div>
+<div class="ttc" id="_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&lt; armnn::Half, 4 &gt; SpaceToBatchNdMultiBlockNhwcFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; uint8_t, 4 &gt; SpaceToBatchNdMultiChannelsNhwcUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; uint8_t, 4 &gt; SpaceToBatchNdPaddingUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; unsigned int &gt; 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&lt; armnn::Half, 4 &gt; SpaceToBatchNdMultiChannelsNhwcFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; uint8_t, 4 &gt; SpaceToBatchNdPaddingNhwcUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; armnn::Half, 4 &gt; SpaceToBatchNdSimpleNhwcFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;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&lt; int16_t, 4 &gt; SpaceToBatchNdMultiChannelsUint16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; int16_t, 4 &gt; SpaceToBatchNdPaddingNhwcUint16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; uint8_t, 4 &gt; SpaceToBatchNdMultiBlockNhwcUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; int16_t, 4 &gt; SpaceToBatchNdMultiBlockUint16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; int16_t, 4 &gt; SpaceToBatchNdMultiBlockNhwcUint16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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>
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+<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&lt; float, 4 &gt; SpaceToBatchNdMultiBlockNhwcFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; uint8_t, 4 &gt; SpaceToBatchNdMultiBlockUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; float, 4 &gt; SpaceToBatchNdSimpleNhwcFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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>
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+<div class="ttc" id="namespacearmnn_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div></div>
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+<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&lt; armnn::Half, 4 &gt; SpaceToBatchNdMultiChannelsFloat16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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 &amp;srcShape, const armnn::PermutationVector &amp;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&lt; float, 4 &gt; SpaceToBatchNdPaddingNhwcFloat32Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; int16_t, 4 &gt; SpaceToBatchNdSimpleUint16Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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&lt; uint8_t, 4 &gt; SpaceToBatchNdSimpleUint8Test(armnn::IWorkloadFactory &amp;workloadFactory, const armnn::IBackendInternal::IMemoryManagerSharedPtr &amp;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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