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diff --git a/21.02/_reduction_test_impl_8hpp.xhtml b/21.02/_reduction_test_impl_8hpp.xhtml new file mode 100644 index 0000000000..0bfdee526a --- /dev/null +++ b/21.02/_reduction_test_impl_8hpp.xhtml @@ -0,0 +1,351 @@ +<!-- Copyright (c) 2020 ARM Limited. --> +<!-- --> +<!-- SPDX-License-Identifier: MIT --> +<!-- --> +<!-- HTML header for doxygen 1.8.13--> +<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd"> +<html xmlns="http://www.w3.org/1999/xhtml"> +<head> +<meta http-equiv="Content-Type" content="text/xhtml;charset=UTF-8"/> +<meta http-equiv="X-UA-Compatible" content="IE=9"/> +<meta name="generator" content="Doxygen 1.8.13"/> +<meta name="robots" content="NOINDEX, NOFOLLOW" /> +<meta name="viewport" content="width=device-width, initial-scale=1"/> +<title>ArmNN: src/backends/backendsCommon/test/layerTests/ReductionTestImpl.hpp File Reference</title> +<link href="tabs.css" rel="stylesheet" type="text/css"/> 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+<div class="title">ReductionTestImpl.hpp File Reference</div> </div> +</div><!--header--> +<div class="contents"> +<div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>"</code><br /> +<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br /> +<code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br /> +<code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>></code><br /> +</div> +<p><a href="_reduction_test_impl_8hpp_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:a4a112c6c1adc0c3d1043717bfa7d5fff"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a4a112c6c1adc0c3d1043717bfa7d5fff"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduction_test_impl_8hpp.xhtml#a4a112c6c1adc0c3d1043717bfa7d5fff">ReduceMaxSimpleTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a4a112c6c1adc0c3d1043717bfa7d5fff"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a789bc3da0ac4a4b9262a690ac34ab5da"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a789bc3da0ac4a4b9262a690ac34ab5da"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduction_test_impl_8hpp.xhtml#a789bc3da0ac4a4b9262a690ac34ab5da">ReduceMaxNegativeAxisTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a789bc3da0ac4a4b9262a690ac34ab5da"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a9712f70d06bd0672dd66d703423af0cf"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a9712f70d06bd0672dd66d703423af0cf"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduction_test_impl_8hpp.xhtml#a9712f70d06bd0672dd66d703423af0cf">ReduceMaxSimpleTest2</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a9712f70d06bd0672dd66d703423af0cf"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:af85a7c6ef0792a589e6bd36e8edce62a"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:af85a7c6ef0792a589e6bd36e8edce62a"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduction_test_impl_8hpp.xhtml#af85a7c6ef0792a589e6bd36e8edce62a">ReduceMinSimpleTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:af85a7c6ef0792a589e6bd36e8edce62a"><td class="memSeparator" colspan="2"> </td></tr> +<tr class="memitem:a39491d7698cc195ca77e8698d479e0e4"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr> +<tr class="memitem:a39491d7698cc195ca77e8698d479e0e4"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< float, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_reduction_test_impl_8hpp.xhtml#a39491d7698cc195ca77e8698d479e0e4">ReduceMinNegativeAxisTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory)</td></tr> +<tr class="separator:a39491d7698cc195ca77e8698d479e0e4"><td class="memSeparator" colspan="2"> </td></tr> +</table> +<h2 class="groupheader">Function Documentation</h2> +<a id="a789bc3da0ac4a4b9262a690ac34ab5da"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a789bc3da0ac4a4b9262a690ac34ab5da">◆ </a></span>ReduceMaxNegativeAxisTest()</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><float, 4> ReduceMaxNegativeAxisTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </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> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_reduction_test_impl_8cpp_source.xhtml#l00122">122</a> of file <a class="el" href="_reduction_test_impl_8cpp_source.xhtml">ReductionTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00464">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 2, 3 };</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 2, 1};</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> </div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  }</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span> </div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  std::vector<float> inputValues</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  ({</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  1001.0f, 11.0f, 1003.0f,</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  10.0f, 1002.0f, 12.0f</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  });</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  std::vector<float> outputValues</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  ({</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  1003.0f, 1002.0f</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  });</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span> </div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">return</span> ReductionTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  memoryManager,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  tensorHandleFactory,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  inputTensorInfo,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  outputTensorInfo,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  inputValues,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  outputValues,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  { -1 },</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a>,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> }</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a4a112c6c1adc0c3d1043717bfa7d5fff"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a4a112c6c1adc0c3d1043717bfa7d5fff">◆ </a></span>ReduceMaxSimpleTest()</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><float, 4> ReduceMaxSimpleTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </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> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_reduction_test_impl_8cpp_source.xhtml#l00082">82</a> of file <a class="el" href="_reduction_test_impl_8cpp_source.xhtml">ReductionTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00464">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 2, 3 };</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 1, 3};</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  {</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  }</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> </div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  std::vector<float> inputValues</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  ({</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  1001.0f, 11.0f, 1003.0f,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  10.0f, 1002.0f, 12.0f</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  });</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  std::vector<float> outputValues</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  ({</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  1001.0f, 1002.0f, 1003.0f</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  });</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> ReductionTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  memoryManager,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  tensorHandleFactory,</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  inputTensorInfo,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  outputTensorInfo,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  inputValues,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  outputValues,</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  { 2 },</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a>);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a9712f70d06bd0672dd66d703423af0cf"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a9712f70d06bd0672dd66d703423af0cf">◆ </a></span>ReduceMaxSimpleTest2()</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><float, 4> ReduceMaxSimpleTest2 </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </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> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_reduction_test_impl_8cpp_source.xhtml#l00163">163</a> of file <a class="el" href="_reduction_test_impl_8cpp_source.xhtml">ReductionTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00464">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00167"></a><span class="lineno"> 167</span> {</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 2, 3 };</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 2, 1 };</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  }</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  std::vector<float> inputValues</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  ({</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  1.0f, 3.0f, 2.0f,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  6.0f, 4.0f, 5.0f</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  });</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  std::vector<float> outputValues</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  ({</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  3.0f, 6.0f</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  });</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span> </div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> ReductionTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  memoryManager,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  tensorHandleFactory,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  inputTensorInfo,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  outputTensorInfo,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  inputValues,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  outputValues,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  { 3 },</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a>,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> }</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#abc05539fc6e7907f32ef0fb242e3b3b0a6a061313d22e51e0f25b7cd4dc065233">armnn::ReduceOperation::Max</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="a39491d7698cc195ca77e8698d479e0e4"></a> +<h2 class="memtitle"><span class="permalink"><a href="#a39491d7698cc195ca77e8698d479e0e4">◆ </a></span>ReduceMinNegativeAxisTest()</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><float, 4> ReduceMinNegativeAxisTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </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> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_reduction_test_impl_8cpp_source.xhtml#l00245">245</a> of file <a class="el" href="_reduction_test_impl_8cpp_source.xhtml">ReductionTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00464">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00249"></a><span class="lineno"> 249</span> {</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape{ 1, 1, 2, 3 };</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape{ 1, 1, 2, 1};</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  }</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span> </div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  std::vector<float> inputValues</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  ({</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  1001.0f, 11.0f, 1003.0f,</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  10.0f, 1002.0f, 12.0f</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  });</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  std::vector<float> outputValues</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  ({</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  11.0f, 10.0f</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  });</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> ReductionTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  memoryManager,</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  tensorHandleFactory,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  inputTensorInfo,</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  outputTensorInfo,</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  inputValues,</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  outputValues,</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  { -1 },</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ReduceOperation::Min</a>,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">true</span>);</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span> }</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> +</div><!-- fragment --> +</div> +</div> +<a id="af85a7c6ef0792a589e6bd36e8edce62a"></a> +<h2 class="memtitle"><span class="permalink"><a href="#af85a7c6ef0792a589e6bd36e8edce62a">◆ </a></span>ReduceMinSimpleTest()</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><float, 4> ReduceMinSimpleTest </td> + <td>(</td> + <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </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> & </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> & </td> + <td class="paramname"><em>tensorHandleFactory</em> </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="_reduction_test_impl_8cpp_source.xhtml#l00205">205</a> of file <a class="el" href="_reduction_test_impl_8cpp_source.xhtml">ReductionTestImpl.cpp</a>.</p> + +<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::Min</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00480">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00464">TensorInfo::SetQuantizationScale()</a>.</p> +<div class="fragment"><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> {</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> inputShape { 1, 1, 2, 3 };</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputShape { 1, 1, 1, 3};</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> </div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType);</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span> </div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">if</span> (armnn::IsQuantizedType<T>())</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  {</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  inputTensorInfo.SetQuantizationScale(1.0f);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  inputTensorInfo.SetQuantizationOffset(0);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo(outputShape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> </div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  std::vector<float> inputValues</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  ({</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  1001.0f, 11.0f, 1003.0f,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  10.0f, 1002.0f, 12.0f</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  });</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::vector<float> outputValues</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  ({</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  10.0f, 11.0f, 12.0f</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  });</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">return</span> ReductionTestCommon<ArmnnType>(workloadFactory,</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  memoryManager,</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  tensorHandleFactory,</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  inputTensorInfo,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  outputTensorInfo,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  inputValues,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  outputValues,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  { 2 },</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <a class="code" href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ReduceOperation::Min</a>);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> }</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="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div> +<div class="ttc" id="namespacearmnn_xhtml_ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2"><div class="ttname"><a href="namespacearmnn.xhtml#ae7e8cbf71db6a490789ca6dcaa8deeaea78d811e98514cd165dda532286610fd2">armnn::ArgMinMaxFunction::Min</a></div></div> +</div><!-- fragment --> +</div> +</div> +</div><!-- contents --> +</div><!-- doc-content --> +<!-- start footer part --> +<div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> + <ul> + <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="_reduction_test_impl_8hpp.xhtml">ReductionTestImpl.hpp</a></li> + <li class="footer">Generated on Thu Feb 25 2021 17:27:55 for ArmNN by + <a href="http://www.doxygen.org/index.html"> + <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li> + </ul> +</div> +</body> +</html> |