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<div class="title">DepthToSpaceTestImpl.hpp File Reference</div> </div>
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<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.html">LayerTestResult.hpp</a>&quot;</code><br />
<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
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<p><a href="_depth_to_space_test_impl_8hpp_source.html">Go to the source code of this file.</a></p>
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Functions</h2></td></tr>
<tr class="memitem:ab24c4e3bbd4afb21d1e25f32a773284c"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
<tr class="memitem:ab24c4e3bbd4afb21d1e25f32a773284c"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_depth_to_space_test_impl_8hpp.html#ab24c4e3bbd4afb21d1e25f32a773284c">DepthToSpaceTest1</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
<tr class="separator:ab24c4e3bbd4afb21d1e25f32a773284c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a06c0011e886eec8e9b99ddd399e86d2b"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
<tr class="memitem:a06c0011e886eec8e9b99ddd399e86d2b"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_depth_to_space_test_impl_8hpp.html#a06c0011e886eec8e9b99ddd399e86d2b">DepthToSpaceTest2</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
<tr class="separator:a06c0011e886eec8e9b99ddd399e86d2b"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a8eb3eae48bedad36e4cf57184d7eb3e1"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
<tr class="memitem:a8eb3eae48bedad36e4cf57184d7eb3e1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_depth_to_space_test_impl_8hpp.html#a8eb3eae48bedad36e4cf57184d7eb3e1">DepthToSpaceTest3</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
<tr class="separator:a8eb3eae48bedad36e4cf57184d7eb3e1"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a594e4320ad4571c07b95622d7846e4a5"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
<tr class="memitem:a594e4320ad4571c07b95622d7846e4a5"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_depth_to_space_test_impl_8hpp.html#a594e4320ad4571c07b95622d7846e4a5">DepthToSpaceTest4</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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<h2 class="groupheader">Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ab24c4e3bbd4afb21d1e25f32a773284c">&#9670;&nbsp;</a></span>DepthToSpaceTest1()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 4&gt; DepthToSpaceTest1 </td>
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<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
<td class="paramname"><em>memoryManager</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td>
<td class="paramname"><em>dataLayout</em>&#160;</td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="_depth_to_space_test_impl_8cpp_source.html#l00077">77</a> of file <a class="el" href="_depth_to_space_test_impl_8cpp_source.html">DepthToSpaceTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="_descriptors_8hpp_source.html#l00827">SpaceToDepthDescriptor::m_BlockSize</a>, <a class="el" href="_descriptors_8hpp_source.html#l00830">SpaceToDepthDescriptor::m_DataLayout</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
<div class="fragment"><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;{</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 1, 1, 8 };</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="comment">// in:</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="comment">// [[[[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]]]]</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="comment">// out:</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="comment">// [[[[1, 2, 3], [4, 5, 6]],</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <span class="comment">// [[7, 8, 9], [10, 11, 12]]]]</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; std::vector&lt;float&gt; input = { 1.f, 2.f, 3.f, 4.f, 5.f, 6.f, 7.f, 8.f };</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; std::vector&lt;float&gt; expectedOutput = input;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <a class="code" href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a> desc;</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> = 2;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputInfo(4, inputShape, ArmnnType);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputInfo(4, outputShape, ArmnnType);</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">return</span> DepthToSpaceTestImpl&lt;T&gt;(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc);</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00830">Descriptors.hpp:830</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_depth_to_space_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00554">WorkloadData.hpp:554</a></div></div>
<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be &gt;= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00827">Descriptors.hpp:827</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a06c0011e886eec8e9b99ddd399e86d2b">&#9670;&nbsp;</a></span>DepthToSpaceTest2()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 4&gt; DepthToSpaceTest2 </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">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.html#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"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td>
<td class="paramname"><em>dataLayout</em>&#160;</td>
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<tr>
<td></td>
<td>)</td>
<td></td><td></td>
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<p class="definition">Definition at line <a class="el" href="_depth_to_space_test_impl_8cpp_source.html#l00106">106</a> of file <a class="el" href="_depth_to_space_test_impl_8cpp_source.html">DepthToSpaceTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="_descriptors_8hpp_source.html#l00827">SpaceToDepthDescriptor::m_BlockSize</a>, <a class="el" href="_descriptors_8hpp_source.html#l00830">SpaceToDepthDescriptor::m_DataLayout</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
<div class="fragment"><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;{</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 2, 2, 4 };</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 4, 4, 1 };</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="comment">// in:</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="comment">// [[[[1, 2, 3, 4],</span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="comment">// [5, 6, 7, 8]],</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <span class="comment">// [[9, 10, 11, 12],</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="comment">// [13, 14, 15, 16]]]]</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; <span class="comment">//</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="comment">// out:</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; <span class="comment">// [[[ [1], [2], [5], [6]],</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="comment">// [ [3], [4], [7], [8]],</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="comment">// [ [9], [10], [13], [14]],</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="comment">// [ [11], [12], [15], [16]]]]</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; std::vector&lt;float&gt; input =</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; 1.f, 2.f, 3.f, 4.f,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; 5.f, 6.f, 7.f, 8.f,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; 9.f, 10.f, 11.f, 12.f,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; 13.f, 14.f, 15.f, 16.f</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; };</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160;</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; std::vector&lt;float&gt; expectedOutput</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; {</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; 1.f, 2.f, 5.f, 6.f,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; 3.f, 4.f, 7.f, 8.f,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; 9.f, 10.f, 13.f, 14.f,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; 11.f, 12.f, 15.f, 16.f</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; };</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; <a class="code" href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a> desc;</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> = 2;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputInfo(4, inputShape, ArmnnType);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputInfo(4, outputShape, ArmnnType);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">return</span> DepthToSpaceTestImpl&lt;T&gt;(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00830">Descriptors.hpp:830</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_depth_to_space_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00554">WorkloadData.hpp:554</a></div></div>
<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be &gt;= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00827">Descriptors.hpp:827</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a8eb3eae48bedad36e4cf57184d7eb3e1">&#9670;&nbsp;</a></span>DepthToSpaceTest3()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 4&gt; DepthToSpaceTest3 </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
<td class="paramname"><em>memoryManager</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td>
<td class="paramname"><em>dataLayout</em>&#160;</td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="_depth_to_space_test_impl_8cpp_source.html#l00156">156</a> of file <a class="el" href="_depth_to_space_test_impl_8cpp_source.html">DepthToSpaceTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="_descriptors_8hpp_source.html#l00827">SpaceToDepthDescriptor::m_BlockSize</a>, <a class="el" href="_descriptors_8hpp_source.html#l00830">SpaceToDepthDescriptor::m_DataLayout</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
<div class="fragment"><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;{</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 1, 1, 4 };</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2, 2, 2, 1 };</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; std::vector&lt;float&gt; input =</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; 1.f, 2.f, 3.f, 4.f, <span class="comment">// batch 0</span></div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; 5.f, 6.f, 7.f, 8.f <span class="comment">// batch 1</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; };</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; std::vector&lt;float&gt; expectedOutput = input;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160;</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <a class="code" href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a> desc;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> = 2;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputInfo(4, inputShape, ArmnnType);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputInfo(4, outputShape, ArmnnType);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; <span class="keywordflow">return</span> DepthToSpaceTestImpl&lt;T&gt;(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00830">Descriptors.hpp:830</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_depth_to_space_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00554">WorkloadData.hpp:554</a></div></div>
<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be &gt;= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00827">Descriptors.hpp:827</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a594e4320ad4571c07b95622d7846e4a5">&#9670;&nbsp;</a></span>DepthToSpaceTest4()</h2>
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<td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 4&gt; DepthToSpaceTest4 </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
<td class="paramname"><em>workloadFactory</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
<td class="paramname"><em>memoryManager</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td>
<td class="paramname"><em>dataLayout</em>&#160;</td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="_depth_to_space_test_impl_8cpp_source.html#l00183">183</a> of file <a class="el" href="_depth_to_space_test_impl_8cpp_source.html">DepthToSpaceTestImpl.cpp</a>.</p>
<p class="reference">References <a class="el" href="_descriptors_8hpp_source.html#l00827">SpaceToDepthDescriptor::m_BlockSize</a>, <a class="el" href="_descriptors_8hpp_source.html#l00830">SpaceToDepthDescriptor::m_DataLayout</a>, and <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
<div class="fragment"><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="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 2, 2, 2, 4 };</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 2, 4, 4, 1 };</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160;</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; std::vector&lt;float&gt; input =</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; {</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; 1.f, 2.f, 3.f, 4.f,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; 5.f, 6.f, 7.f, 8.f,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160;</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; 9.f, 10.f, 11.f, 12.f,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160;</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; 13.f, 14.f, 15.f, 16.f,</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;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; 17.f, 18.f, 19.f, 20.f,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; 21.f, 22.f, 23.f, 24.f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160;</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; 25.f, 26.f, 27.f, 28.f,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160;</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; 29.f, 30.f, 31.f, 32.f</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160; };</div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; std::vector&lt;float&gt; expectedOutput</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; {</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160; 1.f, 2.f, 5.f, 6.f,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; 3.f, 4.f, 7.f, 8.f,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; 9.f, 10.f, 13.f, 14.f,</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; 11.f, 12.f, 15.f, 16.f,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160;</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160; 17.f, 18.f, 21.f, 22.f,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; 19.f, 20.f, 23.f, 24.f,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; 25.f, 26.f, 29.f, 30.f,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; 27.f, 28.f, 31.f, 32.f</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; };</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; <a class="code" href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a> desc;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = dataLayout;</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; desc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">m_BlockSize</a> = 2;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputInfo(4, inputShape, ArmnnType);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputInfo(4, outputShape, ArmnnType);</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> DepthToSpaceTestImpl&lt;T&gt;(workloadFactory, memoryManager, inputInfo, outputInfo, input, expectedOutput, desc);</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::SpaceToDepthDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00830">Descriptors.hpp:830</a></div></div>
<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="structarmnn_1_1_depth_to_space_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_depth_to_space_queue_descriptor.html">armnn::DepthToSpaceQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00554">WorkloadData.hpp:554</a></div></div>
<div class="ttc" id="structarmnn_1_1_space_to_depth_descriptor_html_a6c6b8957f1e176867e5fb05b1a1a1486"><div class="ttname"><a href="structarmnn_1_1_space_to_depth_descriptor.html#a6c6b8957f1e176867e5fb05b1a1a1486">armnn::SpaceToDepthDescriptor::m_BlockSize</a></div><div class="ttdeci">unsigned int m_BlockSize</div><div class="ttdoc">Scalar specifying the input block size. It must be &gt;= 1. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00827">Descriptors.hpp:827</a></div></div>
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