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authorNikhil Raj <nikhil.raj@arm.com>2022-08-19 15:23:36 +0100
committerNikhil Raj <nikhil.raj@arm.com>2022-08-19 15:23:36 +0100
commit7bfd38a721360183f3392f9ab35db18a0dd7fef8 (patch)
tree5b4da2f2e88636c939afbafa2571170297114e40 /22.08/_gather_nd_test_impl_8cpp.xhtml
parentd5d43d82c0137e08553e44345c609cdd1a7931c7 (diff)
downloadarmnn-7bfd38a721360183f3392f9ab35db18a0dd7fef8.tar.gz
Update Doxygen for 22.08 Release
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com> Change-Id: I4789fe868e0492839be1482e5cee3642ed90d756
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+<div class="textblock"><code>#include &quot;<a class="el" href="_gather_nd_test_impl_8hpp_source.xhtml">GatherNdTestImpl.hpp</a>&quot;</code><br />
+<code>#include &lt;DataTypeUtils.hpp&gt;</code><br />
+<code>#include &lt;<a class="el" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_source.xhtml">armnnTestUtils/TensorCopyUtils.hpp</a>&gt;</code><br />
+<code>#include &lt;<a class="el" href="include_2armnn_test_utils_2_workload_test_utils_8hpp_source.xhtml">armnnTestUtils/WorkloadTestUtils.hpp</a>&gt;</code><br />
+</div>
+<p><a href="_gather_nd_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:aa3be3866bc677b81c3cfa26b0f0a582a"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
+<tr class="memitem:aa3be3866bc677b81c3cfa26b0f0a582a"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 2 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#aa3be3866bc677b81c3cfa26b0f0a582a">SimpleGatherNd2dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:aa3be3866bc677b81c3cfa26b0f0a582a"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a387db758b4b23761e3704e6c60ce4c4f"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
+<tr class="memitem:a387db758b4b23761e3704e6c60ce4c4f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#a387db758b4b23761e3704e6c60ce4c4f">SimpleGatherNd3dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
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+<tr class="memitem:ab25ec470c15482971054caf3bed9d308"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
+<tr class="memitem:ab25ec470c15482971054caf3bed9d308"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#ab25ec470c15482971054caf3bed9d308">SimpleGatherNd4dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
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+<tr class="separator:a84371a50b0951b22256508b38178780d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a19e5f627dbe0075b7ba3b190004b8dcc"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> &gt;, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#a19e5f627dbe0075b7ba3b190004b8dcc">SimpleGatherNd3dTest&lt; armnn::DataType::Float32 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:a19e5f627dbe0075b7ba3b190004b8dcc"><td class="memSeparator" colspan="2">&#160;</td></tr>
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+<tr class="separator:a87d98227acd54afc66286bec0a840494"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6430ccd109ea0e1d586a485da889a28d"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &gt;, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#a6430ccd109ea0e1d586a485da889a28d">SimpleGatherNd2dTest&lt; armnn::DataType::QAsymmS8 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:a6430ccd109ea0e1d586a485da889a28d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ab8f1c3db9d96263c528102470cb9c2ad"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &gt;, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#ab8f1c3db9d96263c528102470cb9c2ad">SimpleGatherNd3dTest&lt; armnn::DataType::QAsymmS8 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:ab8f1c3db9d96263c528102470cb9c2ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a478fb9d637174a78227cb31f553defc0"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &gt;, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#a478fb9d637174a78227cb31f553defc0">SimpleGatherNd4dTest&lt; armnn::DataType::QAsymmS8 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:a478fb9d637174a78227cb31f553defc0"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a451f5f90f8901f1334cdecc56c65ee1c"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> &gt;, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#a451f5f90f8901f1334cdecc56c65ee1c">SimpleGatherNd2dTest&lt; armnn::DataType::Signed32 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:a451f5f90f8901f1334cdecc56c65ee1c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a24fbb7190bfd57dff646c2d6c9a25816"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> &gt;, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#a24fbb7190bfd57dff646c2d6c9a25816">SimpleGatherNd3dTest&lt; armnn::DataType::Signed32 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:a24fbb7190bfd57dff646c2d6c9a25816"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a3e5d810f292a2522fb8a330cecb3db9d"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> &gt;, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml#a3e5d810f292a2522fb8a330cecb3db9d">SimpleGatherNd4dTest&lt; armnn::DataType::Signed32 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
+<tr class="separator:a3e5d810f292a2522fb8a330cecb3db9d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="aa3be3866bc677b81c3cfa26b0f0a582a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa3be3866bc677b81c3cfa26b0f0a582a">&#9670;&nbsp;</a></span>SimpleGatherNd2dTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 2&gt; SimpleGatherNd2dTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_gather_nd_test_impl_8cpp_source.xhtml#l00068">68</a> of file <a class="el" href="_gather_nd_test_impl_8cpp_source.xhtml">GatherNdTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
+<div class="fragment"><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;{</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> paramsInfo({ 5, 2 }, ArmnnType);</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> indicesInfo({ 3, 1 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({ 3, 2 }, ArmnnType);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; paramsInfo.SetQuantizationOffset(1);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; outputInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; outputInfo.SetQuantizationOffset(1);</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; <span class="keyword">const</span> std::vector&lt;T&gt; params = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; { 1, 2,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; 3, 4,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; 5, 6,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; 7, 8,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; 9, 10},</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; paramsInfo);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="keyword">const</span> std::vector&lt;int32_t&gt; indices = ConvertToDataType&lt;armnn::DataType::Signed32&gt;(</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; { 1, 0, 4},</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; indicesInfo);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keyword">const</span> std::vector&lt;T&gt; expectedOutput = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; { 3, 4,</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; 1, 2,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; 9, 10},</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; outputInfo);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordflow">return</span> GatherNdTestImpl&lt;ArmnnType, T, 2, 2, 2&gt;(</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; workloadFactory,</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; memoryManager,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; paramsInfo,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; indicesInfo,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; outputInfo,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; params,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; indices,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; expectedOutput);</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</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#l00473">Tensor.cpp:473</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a84371a50b0951b22256508b38178780d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a84371a50b0951b22256508b38178780d">&#9670;&nbsp;</a></span>SimpleGatherNd2dTest< armnn::DataType::Float32 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>&gt;, 2&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#aa3be3866bc677b81c3cfa26b0f0a582a">SimpleGatherNd2dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a6430ccd109ea0e1d586a485da889a28d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a6430ccd109ea0e1d586a485da889a28d">&#9670;&nbsp;</a></span>SimpleGatherNd2dTest< armnn::DataType::QAsymmS8 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>&gt;, 2&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#aa3be3866bc677b81c3cfa26b0f0a582a">SimpleGatherNd2dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a451f5f90f8901f1334cdecc56c65ee1c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a451f5f90f8901f1334cdecc56c65ee1c">&#9670;&nbsp;</a></span>SimpleGatherNd2dTest< armnn::DataType::Signed32 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>&gt;, 2&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#aa3be3866bc677b81c3cfa26b0f0a582a">SimpleGatherNd2dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a387db758b4b23761e3704e6c60ce4c4f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a387db758b4b23761e3704e6c60ce4c4f">&#9670;&nbsp;</a></span>SimpleGatherNd3dTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 3&gt; SimpleGatherNd3dTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_gather_nd_test_impl_8cpp_source.xhtml#l00111">111</a> of file <a class="el" href="_gather_nd_test_impl_8cpp_source.xhtml">GatherNdTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
+<div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> paramsInfo({ 2, 3, 8, 4 }, ArmnnType);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> indicesInfo({ 2, 2 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({ 2, 8, 4 }, ArmnnType);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</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; paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; paramsInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; outputInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; outputInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keyword">const</span> std::vector&lt;T&gt; params = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; 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112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160;</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191 },</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; paramsInfo);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; <span class="keyword">const</span> std::vector&lt;int32_t&gt; indices = ConvertToDataType&lt;armnn::DataType::Signed32&gt;(</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; { 1, 2, 1, 1},</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; indicesInfo);</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; <span class="keyword">const</span> std::vector&lt;T&gt; expectedOutput = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; { 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159},</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; outputInfo);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keywordflow">return</span> GatherNdTestImpl&lt;ArmnnType, T, 4, 2, 3&gt;(</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; workloadFactory,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; memoryManager,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; paramsInfo,</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; indicesInfo,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; outputInfo,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; params,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; indices,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; expectedOutput);</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</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#l00473">Tensor.cpp:473</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a19e5f627dbe0075b7ba3b190004b8dcc"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a19e5f627dbe0075b7ba3b190004b8dcc">&#9670;&nbsp;</a></span>SimpleGatherNd3dTest< armnn::DataType::Float32 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>&gt;, 3&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#a387db758b4b23761e3704e6c60ce4c4f">SimpleGatherNd3dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="ab8f1c3db9d96263c528102470cb9c2ad"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab8f1c3db9d96263c528102470cb9c2ad">&#9670;&nbsp;</a></span>SimpleGatherNd3dTest< armnn::DataType::QAsymmS8 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>&gt;, 3&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#a387db758b4b23761e3704e6c60ce4c4f">SimpleGatherNd3dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a24fbb7190bfd57dff646c2d6c9a25816"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a24fbb7190bfd57dff646c2d6c9a25816">&#9670;&nbsp;</a></span>SimpleGatherNd3dTest< armnn::DataType::Signed32 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>&gt;, 3&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#a387db758b4b23761e3704e6c60ce4c4f">SimpleGatherNd3dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="ab25ec470c15482971054caf3bed9d308"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab25ec470c15482971054caf3bed9d308">&#9670;&nbsp;</a></span>SimpleGatherNd4dTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimpleGatherNd4dTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_gather_nd_test_impl_8cpp_source.xhtml#l00172">172</a> of file <a class="el" href="_gather_nd_test_impl_8cpp_source.xhtml">GatherNdTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00489">TensorInfo::SetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>, and <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>
+<div class="fragment"><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160;{</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> paramsInfo({ 5, 5, 2 }, ArmnnType);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> indicesInfo({ 2, 2, 3, 2 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputInfo({ 2, 2, 3, 2 }, 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; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; {</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; paramsInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(1.0f);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; paramsInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; outputInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; outputInfo.SetQuantizationOffset(0);</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; <span class="keyword">const</span> std::vector&lt;T&gt; params = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9,</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; 20, 21, 22, 23, 24, 25, 26, 27, 28, 29,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; 30, 31, 32, 33, 34, 35, 36, 37, 38, 39,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; 40, 41, 42, 43, 44, 45, 46, 47, 48, 49 },</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; paramsInfo);</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; <span class="keyword">const</span> std::vector&lt;int32_t&gt; indices = ConvertToDataType&lt;armnn::DataType::Signed32&gt;(</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; { 0, 0,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; 3, 3,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; 4, 4,</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; 0, 0,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; 1, 1,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; 2, 2,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; 4, 4,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; 3, 3,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; 0, 0,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; 2, 2,</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160; 1, 1,</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; 0, 0 },</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; indicesInfo);</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keyword">const</span> std::vector&lt;T&gt; expectedOutput = ConvertToDataType&lt;ArmnnType&gt;(</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; { 0, 1,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; 36, 37,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; 48, 49,</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; 0, 1,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; 12, 13,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; 24, 25,</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; 48, 49,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; 36, 37,</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; 0, 1,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; 24, 25,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; 12, 13,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; 0, 1 },</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; outputInfo);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; <span class="keywordflow">return</span> GatherNdTestImpl&lt;ArmnnType, T, 3, 4, 4&gt;(</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; workloadFactory,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; memoryManager,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; paramsInfo,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; indicesInfo,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; outputInfo,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; params,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; indices,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; expectedOutput);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</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#l00473">Tensor.cpp:473</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a87d98227acd54afc66286bec0a840494"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a87d98227acd54afc66286bec0a840494">&#9670;&nbsp;</a></span>SimpleGatherNd4dTest< armnn::DataType::Float32 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>&gt;, 4&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#ab25ec470c15482971054caf3bed9d308">SimpleGatherNd4dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a478fb9d637174a78227cb31f553defc0"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a478fb9d637174a78227cb31f553defc0">&#9670;&nbsp;</a></span>SimpleGatherNd4dTest< armnn::DataType::QAsymmS8 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>&gt;, 4&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#ab25ec470c15482971054caf3bed9d308">SimpleGatherNd4dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+<a id="a3e5d810f292a2522fb8a330cecb3db9d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3e5d810f292a2522fb8a330cecb3db9d">&#9670;&nbsp;</a></span>SimpleGatherNd4dTest< armnn::DataType::Signed32 >()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname">template <a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.xhtml#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>&gt;, 4&gt; <a class="el" href="_gather_nd_test_impl_8hpp.xhtml#ab25ec470c15482971054caf3bed9d308">SimpleGatherNd4dTest</a>&lt; <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a> &gt; </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
+ <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+</div>
+</div>
+</div><!-- contents -->
+</div><!-- doc-content -->
+<!-- start footer part -->
+<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
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+ <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_gather_nd_test_impl_8cpp.xhtml">GatherNdTestImpl.cpp</a></li>
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