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review.mlplatform.org / ml / armnn / 0d75c02b21b919b81035205f3914ee273b93b30c / . / 21.11 / _addition_test_impl_8cpp.xhtml
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Nikhil Raj9aed8fb2021-11-17 13:16:45 +0000[diff] [blame]1<!-- Copyright (c) 2020 ARM Limited. -->
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103<div class="textblock"><code>#include &quot;<a class="el" href="_addition_test_impl_8hpp_source.xhtml">AdditionTestImpl.hpp</a>&quot;</code><br />
104<code>#include &quot;<a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>&quot;</code><br />
105<code>#include &lt;<a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_ref_workload_factory_helper_8hpp_source.xhtml">reference/test/RefWorkloadFactoryHelper.hpp</a>&gt;</code><br />
107</div>
108<p><a href="_addition_test_impl_8cpp_source.xhtml">Go to the source code of this file.</a></p>
109<table class="memberdecls">
110<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
111Functions</h2></td></tr>
112<tr class="memitem:a5f3caae0b1541a904067544dd37655f0"><td class="memTemplParams" colspan="2">template&lt;&gt; </td></tr>
113<tr class="memitem:a5f3caae0b1541a904067544dd37655f0"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.xhtml">armnn::IWorkload</a> &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a5f3caae0b1541a904067544dd37655f0">CreateWorkload&lt; armnn::AdditionQueueDescriptor &gt;</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> &amp;info, const <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> &amp;descriptor)</td></tr>
114<tr class="separator:a5f3caae0b1541a904067544dd37655f0"><td class="memSeparator" colspan="2">&#160;</td></tr>
115<tr class="memitem:a5e9b2ce84031d422f4d7c3e8f5b50caa"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a5e9b2ce84031d422f4d7c3e8f5b50caa">AdditionTest</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>
116<tr class="separator:a5e9b2ce84031d422f4d7c3e8f5b50caa"><td class="memSeparator" colspan="2">&#160;</td></tr>
117<tr class="memitem:a7cc38e93be531f230a994a5f1c5d1a55"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 5 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a7cc38e93be531f230a994a5f1c5d1a55">Addition5dTest</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>
118<tr class="separator:a7cc38e93be531f230a994a5f1c5d1a55"><td class="memSeparator" colspan="2">&#160;</td></tr>
119<tr class="memitem:af8dcf242a8b53fb21b81687fd9e9014d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
120<tr class="memitem:af8dcf242a8b53fb21b81687fd9e9014d"><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="_addition_test_impl_8cpp.xhtml#af8dcf242a8b53fb21b81687fd9e9014d">AdditionBroadcastTestImpl</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, float qScale, int32_t qOffset, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
121<tr class="separator:af8dcf242a8b53fb21b81687fd9e9014d"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:a5a91c24a6bd6c93b70b8e4f9826a4cb3"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
123<tr class="memitem:a5a91c24a6bd6c93b70b8e4f9826a4cb3"><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="_addition_test_impl_8cpp.xhtml#a5a91c24a6bd6c93b70b8e4f9826a4cb3">AdditionBroadcast1ElementTestImpl</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, float qScale, int32_t qOffset, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory)</td></tr>
124<tr class="separator:a5a91c24a6bd6c93b70b8e4f9826a4cb3"><td class="memSeparator" colspan="2">&#160;</td></tr>
125<tr class="memitem:a06e8e0aff46bf24d79475f60a611b9ef"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a06e8e0aff46bf24d79475f60a611b9ef">AdditionBroadcastTest</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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128<tr class="separator:a29042a4c219c128b04eebf06e98c179f"><td class="memSeparator" colspan="2">&#160;</td></tr>
129<tr class="memitem:aa8644e61da138bbf5467efec809bb507"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#aa8644e61da138bbf5467efec809bb507">AdditionBroadcastInt16Test</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>
130<tr class="separator:aa8644e61da138bbf5467efec809bb507"><td class="memSeparator" colspan="2">&#160;</td></tr>
131<tr class="memitem:a0333f12bc64d47ac349a38ebe47fc432"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a0333f12bc64d47ac349a38ebe47fc432">AdditionBroadcastInt32Test</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>
132<tr class="separator:a0333f12bc64d47ac349a38ebe47fc432"><td class="memSeparator" colspan="2">&#160;</td></tr>
133<tr class="memitem:a94d2e3c097aab8771018335fcd5dc245"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a94d2e3c097aab8771018335fcd5dc245">AdditionBroadcast1ElementTest</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>
134<tr class="separator:a94d2e3c097aab8771018335fcd5dc245"><td class="memSeparator" colspan="2">&#160;</td></tr>
135<tr class="memitem:afbe8d8d875c8571507fde1e4c9e8df16"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#afbe8d8d875c8571507fde1e4c9e8df16">AdditionBroadcast1ElementUint8Test</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>
136<tr class="separator:afbe8d8d875c8571507fde1e4c9e8df16"><td class="memSeparator" colspan="2">&#160;</td></tr>
137<tr class="memitem:a612240a642be1c0b3e32e3894710f3f7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a612240a642be1c0b3e32e3894710f3f7">AdditionBroadcast1ElementInt16Test</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>
138<tr class="separator:a612240a642be1c0b3e32e3894710f3f7"><td class="memSeparator" colspan="2">&#160;</td></tr>
139<tr class="memitem:a75e41122abc41d49eb4b477e6320c0d6"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a75e41122abc41d49eb4b477e6320c0d6">AdditionBroadcast1ElementInt32Test</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>
140<tr class="separator:a75e41122abc41d49eb4b477e6320c0d6"><td class="memSeparator" colspan="2">&#160;</td></tr>
141<tr class="memitem:a1dd634880d3a67fe2e143498bc76abe7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a1dd634880d3a67fe2e143498bc76abe7">AdditionUint8Test</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>
142<tr class="separator:a1dd634880d3a67fe2e143498bc76abe7"><td class="memSeparator" colspan="2">&#160;</td></tr>
143<tr class="memitem:a79a80b0dcf71cb9830d023bb87a9fece"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int16_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a79a80b0dcf71cb9830d023bb87a9fece">AdditionInt16Test</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>
144<tr class="separator:a79a80b0dcf71cb9830d023bb87a9fece"><td class="memSeparator" colspan="2">&#160;</td></tr>
145<tr class="memitem:a973d6c9b8bc4d27bc0dd1242178fa805"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; int32_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#a973d6c9b8bc4d27bc0dd1242178fa805">AdditionInt32Test</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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147<tr class="memitem:aa6f3dcc7c975f294bbe9d988174f7d52"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#aa6f3dcc7c975f294bbe9d988174f7d52">AdditionAfterMaxPoolTest</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>
148<tr class="separator:aa6f3dcc7c975f294bbe9d988174f7d52"><td class="memSeparator" colspan="2">&#160;</td></tr>
149<tr class="memitem:ac1b5a61a67e59c98458071a03c53d77a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_addition_test_impl_8cpp.xhtml#ac1b5a61a67e59c98458071a03c53d77a">CompareAdditionTest</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, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;refWorkloadFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;refTensorHandleFactory)</td></tr>
150<tr class="separator:ac1b5a61a67e59c98458071a03c53d77a"><td class="memSeparator" colspan="2">&#160;</td></tr>
151</table>
152<h2 class="groupheader">Function Documentation</h2>
153<a id="a7cc38e93be531f230a994a5f1c5d1a55"></a>
154<h2 class="memtitle"><span class="permalink"><a href="#a7cc38e93be531f230a994a5f1c5d1a55">&#9670;&nbsp;</a></span>Addition5dTest()</h2>
155
156<div class="memitem">
157<div class="memproto">
158 <table class="memname">
159 <tr>
160 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 5&gt; Addition5dTest </td>
161 <td>(</td>
162 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
163 <td class="paramname"><em>workloadFactory</em>, </td>
164 </tr>
165 <tr>
166 <td class="paramkey"></td>
167 <td></td>
168 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
169 <td class="paramname"><em>memoryManager</em>, </td>
170 </tr>
171 <tr>
172 <td class="paramkey"></td>
173 <td></td>
174 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
175 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
176 </tr>
177 <tr>
178 <td></td>
179 <td>)</td>
180 <td></td><td></td>
181 </tr>
182 </table>
183</div><div class="memdoc">
184
185<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00092">92</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
186
187<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
188<div class="fragment"><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160;{</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> depth = 2u;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2u;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { depth, batchSize, channels, height, width };</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; std::vector&lt;float&gt; input1 =</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; 2.6f, 4.0f, 4.4f, 2.7f, 4.6f, 2.8f,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; 2.3f, 1.9f, 3.4f, 2.9f, 2.2f, 4.5f,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; 2.8f, 1.9f, 2.3f, 2.6f, 4.7f, 3.5f,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; 0.4f, 1.5f, 2.1f, 0.7f, 5.0f, 1.1f,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;</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; 1.0f, 2.7f, 0.0f, 0.6f, 0.8f, 0.9f,</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; 1.0f, 2.6f, 0.4f, 3.8f, 0.4f, 0.8f,</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; 0.5f, 4.3f, 3.1f, 4.4f, 0.7f, 1.4f,</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; 0.4f, 4.4f, 0.7f, 0.6f, 4.7f, 1.2f,</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; };</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; std::vector&lt;float&gt; input2 =</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; {</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; 4.4f, 3.0f, 1.0f, 0.0f, 3.9f, 3.1f,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; 1.7f, 2.9f, 1.3f, 0.4f, 0.4f, 4.3f,</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; 4.5f, 0.2f, 2.2f, 4.1f, 3.9f, 3.0f,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; 0.1f, 2.5f, 4.1f, 4.6f, 1.5f, 0.0f,</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;</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; 0.5f, 4.9f, 2.5f, 1.5f, 3.4f, 4.5f,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; 2.0f, 3.0f, 4.9f, 1.6f, 2.4f, 3.4f,</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; 3.6f, 1.8f, 1.3f, 2.6f, 2.1f, 4.8f,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; 2.0f, 4.3f, 4.0f, 0.2f, 0.6f, 4.4f,</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;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; std::vector&lt;float&gt; output =</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; 7.0f, 7.0f, 5.4f, 2.7f, 8.5f, 5.9f,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; 4.0f, 4.8f, 4.7f, 3.3f, 2.6f, 8.8f,</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; 7.3f, 2.1f, 4.5f, 6.7f, 8.6f, 6.5f,</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; 0.5f, 4.0f, 6.2f, 5.3f, 6.5f, 1.1f,</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;</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; 1.5f, 7.6f, 2.5f, 2.1f, 4.2f, 5.4f,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; 3.0f, 5.6f, 5.3f, 5.4f, 2.8f, 4.2f,</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; 4.1f, 6.1f, 4.4f, 7.0f, 2.8f, 6.2f,</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; 2.4f, 8.7f, 4.7f, 0.8f, 5.3f, 5.6f,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; };</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;5, armnn::AdditionQueueDescriptor, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; workloadFactory,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; memoryManager,</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; shape,</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; input1,</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; shape,</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; input2,</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; shape,</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; output,</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; tensorHandleFactory);</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160;}</div></div><!-- fragment -->
189</div>
190</div>
191<a id="aa6f3dcc7c975f294bbe9d988174f7d52"></a>
192<h2 class="memtitle"><span class="permalink"><a href="#aa6f3dcc7c975f294bbe9d988174f7d52">&#9670;&nbsp;</a></span>AdditionAfterMaxPoolTest()</h2>
193
194<div class="memitem">
195<div class="memproto">
196 <table class="memname">
197 <tr>
198 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; AdditionAfterMaxPoolTest </td>
199 <td>(</td>
200 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
201 <td class="paramname"><em>workloadFactory</em>, </td>
202 </tr>
203 <tr>
204 <td class="paramkey"></td>
205 <td></td>
206 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
207 <td class="paramname"><em>memoryManager</em>, </td>
208 </tr>
209 <tr>
210 <td class="paramkey"></td>
211 <td></td>
212 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
213 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
214 </tr>
215 <tr>
216 <td></td>
217 <td>)</td>
218 <td></td><td></td>
219 </tr>
220 </table>
221</div><div class="memdoc">
222
223<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00541">541</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
224
225<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01513">IWorkloadFactory::CreateAddition()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01778">IWorkloadFactory::CreatePooling2d()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_workload_data_8hpp_source.xhtml#l00057">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00367">Pooling2dDescriptor::m_PoolHeight</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00355">Pooling2dDescriptor::m_PoolType</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00365">Pooling2dDescriptor::m_PoolWidth</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00369">Pooling2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l00371">Pooling2dDescriptor::m_StrideY</a>, and <a class="el" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::Max</a>.</p>
226
227<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
228<div class="fragment"><div class="line"><a name="l00545"></a><span class="lineno"> 545</span>&#160;{</div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>&#160;</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span>&#160; <span class="comment">// Create Initial Tensor</span></div><div class="line"><a name="l00549"></a><span class="lineno"> 549</span>&#160; <span class="comment">// 1, 2, 3</span></div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>&#160; <span class="comment">// 4, 5, 6</span></div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>&#160; <span class="comment">// 7, 8, 9</span></div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>&#160;</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> poolingInputTensorInfo({ 1, 1, 3, 3}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> poolingOutputTensorInfo({ 1, 1, 2, 2}, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span>&#160;</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>&#160; std::vector&lt;float&gt; poolingInput = {1, 2, 3,</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>&#160; 4, 5, 6,</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>&#160; 7, 8, 9</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>&#160; };</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; poolingInputHandle =</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>&#160; tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(poolingInputTensorInfo);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; poolingOutputHandle =</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span>&#160; tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(poolingOutputTensorInfo);</div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>&#160;</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>&#160; <span class="comment">// Apply MaxPool poolSize = 1x1, stride=2x2</span></div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>&#160; <span class="comment">// Result =</span></div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>&#160; <span class="comment">// 1, 3</span></div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>&#160; <span class="comment">// 7, 9</span></div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a> descriptor;</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a> = 1;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a> = 1;</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">m_StrideX</a> = 2;</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a> = 2;</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">m_PoolType</a> = <a class="code" href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::PoolingAlgorithm::Max</a>;</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>&#160;</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>&#160; <a class="code" href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">armnn::Pooling2dQueueDescriptor</a> queueDescriptor;</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>&#160; queueDescriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = descriptor;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> workloadInfo;</div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>&#160; AddInputToWorkload(queueDescriptor, workloadInfo, poolingInputTensorInfo, poolingInputHandle.get());</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>&#160; AddOutputToWorkload(queueDescriptor, workloadInfo, poolingOutputTensorInfo, poolingOutputHandle.get());</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>&#160;</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>&#160; <span class="comment">// Create the MaxPool</span></div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a6e95afd9a55700cbf6f9e8db8089f2f2">CreatePooling2d</a>(queueDescriptor, workloadInfo);</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>&#160;</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>&#160; std::vector&lt;float&gt; resultMaxPool(poolingOutputTensorInfo.GetNumElements());</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>&#160;</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>&#160; <span class="comment">// Create addition with another tensor the same size</span></div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>&#160; <span class="comment">// This would be the result to apply a Conv2d with kernel ones(2) and stride 1x1</span></div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>&#160; <span class="comment">// with the initial tensor.</span></div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span>&#160; <span class="comment">// 12, 16</span></div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>&#160; <span class="comment">// 24, 28</span></div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> addInputTensorInfo({ 1,1,2,2 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> addOutputTensorInfo({ 1,1,2,2 }, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>&#160;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>&#160; std::vector&lt;float&gt; addInput = { 12, 16,</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>&#160; 24, 28 };</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>&#160;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>&#160; <span class="comment">// Expected output tensor after MaxPool and Addition.</span></div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>&#160; std::vector&lt;float&gt; actualOutput(addOutputTensorInfo.GetNumElements());</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>&#160; std::vector&lt;float&gt; expectedOutput = { 13, 19,</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span>&#160; 31, 37 };</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>&#160;</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; addInputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(addInputTensorInfo);</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; addOutputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(addOutputTensorInfo);</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>&#160;</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>&#160; <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> data;</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>&#160;</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>&#160; <span class="comment">// Add the output of the MaxPool and the new tensor</span></div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>&#160; AddInputToWorkload(data, info, poolingOutputTensorInfo, poolingOutputHandle.get());</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>&#160; AddInputToWorkload(data, info, addInputTensorInfo, addInputHandle.get());</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span>&#160; AddOutputToWorkload(data, info, addOutputTensorInfo, addOutputHandle.get());</div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>&#160;</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; addWorkload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a>(data, info);</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>&#160;</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>&#160; poolingInputHandle-&gt;Allocate();</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span>&#160; poolingOutputHandle-&gt;Allocate();</div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>&#160; addInputHandle-&gt;Allocate();</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>&#160; addOutputHandle-&gt;Allocate();</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>&#160;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(poolingInputHandle.get(), poolingInput.data());</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(resultMaxPool.data(), poolingOutputHandle.get());</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>&#160;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(poolingOutputHandle.get(), resultMaxPool.data());</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(addInputHandle.get(), addInput.data());</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>&#160;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>&#160; addWorkload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>&#160; addWorkload-&gt;Execute();</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>&#160;</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), addOutputHandle.get());</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>&#160;</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>&#160; <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</a>(actualOutput,</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>&#160; expectedOutput,</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>&#160; addOutputHandle-&gt;GetShape(),</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span>&#160; addOutputTensorInfo.GetShape());</div><div class="line"><a name="l00638"></a><span class="lineno"> 638</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>
229<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00365">Descriptors.hpp:365</a></div></div>
230<div class="ttc" id="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00263">WorkloadData.hpp:263</a></div></div>
231<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
232<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00057">WorkloadData.hpp:57</a></div></div>
233<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00369">Descriptors.hpp:369</a></div></div>
234<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00367">Descriptors.hpp:367</a></div></div>
235<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
236<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a6e95afd9a55700cbf6f9e8db8089f2f2"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a6e95afd9a55700cbf6f9e8db8089f2f2">armnn::IWorkloadFactory::CreatePooling2d</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePooling2d(const Pooling2dQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01778">WorkloadFactory.cpp:1778</a></div></div>
237<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2). </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00355">Descriptors.hpp:355</a></div></div>
238<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
239<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_acf187617ed4cdd6625b396d6b194923e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">armnn::IWorkloadFactory::CreateAddition</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateAddition(const AdditionQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01513">WorkloadFactory.cpp:1513</a></div></div>
240<div class="ttc" id="namespacearmnn_xhtml_a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233"><div class="ttname"><a href="namespacearmnn.xhtml#a961bbfe1db71a848eff5a1f0ab775718a6a061313d22e51e0f25b7cd4dc065233">armnn::PoolingAlgorithm::Max</a></div></div>
241<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
242<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
243<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div>
244<div class="ttc" id="structarmnn_1_1_pooling2d_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_queue_descriptor.xhtml">armnn::Pooling2dQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00191">WorkloadData.hpp:191</a></div></div>
245<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00321">Descriptors.hpp:321</a></div></div>
246<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo) const =0</div></div>
247<div class="ttc" id="structarmnn_1_1_pooling2d_descriptor_xhtml_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.xhtml#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l00371">Descriptors.hpp:371</a></div></div>
248<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
249</div><!-- fragment -->
250</div>
251</div>
252<a id="a612240a642be1c0b3e32e3894710f3f7"></a>
253<h2 class="memtitle"><span class="permalink"><a href="#a612240a642be1c0b3e32e3894710f3f7">&#9670;&nbsp;</a></span>AdditionBroadcast1ElementInt16Test()</h2>
254
255<div class="memitem">
256<div class="memproto">
257 <table class="memname">
258 <tr>
259 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; AdditionBroadcast1ElementInt16Test </td>
260 <td>(</td>
261 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
262 <td class="paramname"><em>workloadFactory</em>, </td>
263 </tr>
264 <tr>
265 <td class="paramkey"></td>
266 <td></td>
267 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
268 <td class="paramname"><em>memoryManager</em>, </td>
269 </tr>
270 <tr>
271 <td class="paramkey"></td>
272 <td></td>
273 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
274 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
275 </tr>
276 <tr>
277 <td></td>
278 <td>)</td>
279 <td></td><td></td>
280 </tr>
281 </table>
282</div><div class="memdoc">
283
284<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00391">391</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
285
286<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p>
287<div class="fragment"><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160;{</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160; <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl&lt;armnn::DataType::QSymmS16&gt;(</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; workloadFactory, memoryManager, 0.1333333f, 0, tensorHandleFactory);</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160;}</div></div><!-- fragment -->
288</div>
289</div>
290<a id="a75e41122abc41d49eb4b477e6320c0d6"></a>
291<h2 class="memtitle"><span class="permalink"><a href="#a75e41122abc41d49eb4b477e6320c0d6">&#9670;&nbsp;</a></span>AdditionBroadcast1ElementInt32Test()</h2>
292
293<div class="memitem">
294<div class="memproto">
295 <table class="memname">
296 <tr>
297 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 4&gt; AdditionBroadcast1ElementInt32Test </td>
298 <td>(</td>
299 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
300 <td class="paramname"><em>workloadFactory</em>, </td>
301 </tr>
302 <tr>
303 <td class="paramkey"></td>
304 <td></td>
305 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
306 <td class="paramname"><em>memoryManager</em>, </td>
307 </tr>
308 <tr>
309 <td class="paramkey"></td>
310 <td></td>
311 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
312 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
313 </tr>
314 <tr>
315 <td></td>
316 <td>)</td>
317 <td></td><td></td>
318 </tr>
319 </table>
320</div><div class="memdoc">
321
322<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00400">400</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
323
324<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p>
325<div class="fragment"><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;{</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl&lt;armnn::DataType::Signed32&gt;(</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160; workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160;}</div></div><!-- fragment -->
326</div>
327</div>
328<a id="a94d2e3c097aab8771018335fcd5dc245"></a>
329<h2 class="memtitle"><span class="permalink"><a href="#a94d2e3c097aab8771018335fcd5dc245">&#9670;&nbsp;</a></span>AdditionBroadcast1ElementTest()</h2>
330
331<div class="memitem">
332<div class="memproto">
333 <table class="memname">
334 <tr>
335 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; AdditionBroadcast1ElementTest </td>
336 <td>(</td>
337 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
338 <td class="paramname"><em>workloadFactory</em>, </td>
339 </tr>
340 <tr>
341 <td class="paramkey"></td>
342 <td></td>
343 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
344 <td class="paramname"><em>memoryManager</em>, </td>
345 </tr>
346 <tr>
347 <td class="paramkey"></td>
348 <td></td>
349 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
350 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
351 </tr>
352 <tr>
353 <td></td>
354 <td>)</td>
355 <td></td><td></td>
356 </tr>
357 </table>
358</div><div class="memdoc">
359
360<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00373">373</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
361
362<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
363<div class="fragment"><div class="line"><a name="l00377"></a><span class="lineno"> 377</span>&#160;{</div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>&#160; <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>&#160; workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory);</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>&#160;}</div></div><!-- fragment -->
364</div>
365</div>
366<a id="a5a91c24a6bd6c93b70b8e4f9826a4cb3"></a>
367<h2 class="memtitle"><span class="permalink"><a href="#a5a91c24a6bd6c93b70b8e4f9826a4cb3">&#9670;&nbsp;</a></span>AdditionBroadcast1ElementTestImpl()</h2>
368
369<div class="memitem">
370<div class="memproto">
371 <table class="memname">
372 <tr>
373 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; AdditionBroadcast1ElementTestImpl </td>
374 <td>(</td>
375 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
376 <td class="paramname"><em>workloadFactory</em>, </td>
377 </tr>
378 <tr>
379 <td class="paramkey"></td>
380 <td></td>
381 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
382 <td class="paramname"><em>memoryManager</em>, </td>
383 </tr>
384 <tr>
385 <td class="paramkey"></td>
386 <td></td>
387 <td class="paramtype">float&#160;</td>
388 <td class="paramname"><em>qScale</em>, </td>
389 </tr>
390 <tr>
391 <td class="paramkey"></td>
392 <td></td>
393 <td class="paramtype">int32_t&#160;</td>
394 <td class="paramname"><em>qOffset</em>, </td>
395 </tr>
396 <tr>
397 <td class="paramkey"></td>
398 <td></td>
399 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
400 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
401 </tr>
402 <tr>
403 <td></td>
404 <td>)</td>
405 <td></td><td></td>
406 </tr>
407 </table>
408</div><div class="memdoc">
409
410<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00255">255</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
411
412<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01513">IWorkloadFactory::CreateAddition()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00491">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p>
413<div class="fragment"><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>&#160;{</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({1, 3, 2, 3}, ArmnnType);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo2 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({1, 1, 1, 1}, ArmnnType);</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({1, 3, 2, 3}, ArmnnType);</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160; <span class="keywordflow">if</span> (armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>&#160; {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>&#160; inputTensorInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>&#160; inputTensorInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00271"></a><span class="lineno"> 271</span>&#160; inputTensorInfo2.SetQuantizationScale(qScale);</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>&#160; inputTensorInfo2.SetQuantizationOffset(qOffset);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>&#160; outputTensorInfo.SetQuantizationScale(qScale);</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>&#160; outputTensorInfo.SetQuantizationOffset(qOffset);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>&#160; }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>&#160;</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>&#160; <span class="keyword">auto</span> input1 = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span>&#160; {</div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>&#160; 0.0f, 1.0f, 2.0f,</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>&#160; 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>&#160; 6.0f, 7.0f, 8.0f,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>&#160; 9.0f, 10.0f, 11.0f,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>&#160; 12.0f, 13.0f, 14.0f,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>&#160; 15.0f, 16.0f, 17.0f,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>&#160; },</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>&#160;</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160; <span class="keyword">auto</span> input2 = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; 0.5f,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; },</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160;</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; std::vector&lt;T&gt; actualOutput(outputTensorInfo.GetNumElements());</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160;</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; <span class="keyword">auto</span> expectedOutput = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; 0.5f, 1.5f, 2.5f,</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; 3.5f, 4.5f, 5.5f,</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; 6.5f, 7.5f, 8.5f,</div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; 9.5f, 10.5f, 11.5f,</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; 12.5f, 13.5f, 14.5f,</div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; 15.5f, 16.5f, 17.5f,</div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; },</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160;</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle2 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>&#160; <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> data;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>&#160;</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a>(data, info);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>&#160;</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>&#160;</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.data());</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), input2.data());</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>&#160;</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>&#160;</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>&#160;</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160; <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a>(actualOutput,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; expectedOutput,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160; outputHandle-&gt;GetShape(),</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; outputTensorInfo.GetShape());</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</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>
414<div class="ttc" id="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00263">WorkloadData.hpp:263</a></div></div>
415<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
416<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#l00475">Tensor.cpp:475</a></div></div>
417<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
418<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
419<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_acf187617ed4cdd6625b396d6b194923e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">armnn::IWorkloadFactory::CreateAddition</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateAddition(const AdditionQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01513">WorkloadFactory.cpp:1513</a></div></div>
420<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
421<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div>
422<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00491">Tensor.cpp:491</a></div></div>
423<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo) const =0</div></div>
424<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
425</div><!-- fragment -->
426</div>
427</div>
428<a id="afbe8d8d875c8571507fde1e4c9e8df16"></a>
429<h2 class="memtitle"><span class="permalink"><a href="#afbe8d8d875c8571507fde1e4c9e8df16">&#9670;&nbsp;</a></span>AdditionBroadcast1ElementUint8Test()</h2>
430
431<div class="memitem">
432<div class="memproto">
433 <table class="memname">
434 <tr>
435 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; AdditionBroadcast1ElementUint8Test </td>
436 <td>(</td>
437 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
438 <td class="paramname"><em>workloadFactory</em>, </td>
439 </tr>
440 <tr>
441 <td class="paramkey"></td>
442 <td></td>
443 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
444 <td class="paramname"><em>memoryManager</em>, </td>
445 </tr>
446 <tr>
447 <td class="paramkey"></td>
448 <td></td>
449 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
450 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
451 </tr>
452 <tr>
453 <td></td>
454 <td>)</td>
455 <td></td><td></td>
456 </tr>
457 </table>
458</div><div class="memdoc">
459
460<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00382">382</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
461
462<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
463<div class="fragment"><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160;{</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160; <span class="keywordflow">return</span> AdditionBroadcast1ElementTestImpl&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; workloadFactory, memoryManager, 0.1333333f, 128, tensorHandleFactory);</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160;}</div></div><!-- fragment -->
464</div>
465</div>
466<a id="aa8644e61da138bbf5467efec809bb507"></a>
467<h2 class="memtitle"><span class="permalink"><a href="#aa8644e61da138bbf5467efec809bb507">&#9670;&nbsp;</a></span>AdditionBroadcastInt16Test()</h2>
468
469<div class="memitem">
470<div class="memproto">
471 <table class="memname">
472 <tr>
473 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; AdditionBroadcastInt16Test </td>
474 <td>(</td>
475 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
476 <td class="paramname"><em>workloadFactory</em>, </td>
477 </tr>
478 <tr>
479 <td class="paramkey"></td>
480 <td></td>
481 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
482 <td class="paramname"><em>memoryManager</em>, </td>
483 </tr>
484 <tr>
485 <td class="paramkey"></td>
486 <td></td>
487 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
488 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
489 </tr>
490 <tr>
491 <td></td>
492 <td>)</td>
493 <td></td><td></td>
494 </tr>
495 </table>
496</div><div class="memdoc">
497
498<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00355">355</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
499
500<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p>
501<div class="fragment"><div class="line"><a name="l00359"></a><span class="lineno"> 359</span>&#160;{</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>&#160; <span class="keywordflow">return</span> AdditionBroadcastTestImpl&lt;armnn::DataType::QSymmS16&gt;(</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>&#160; workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>&#160;}</div></div><!-- fragment -->
502</div>
503</div>
504<a id="a0333f12bc64d47ac349a38ebe47fc432"></a>
505<h2 class="memtitle"><span class="permalink"><a href="#a0333f12bc64d47ac349a38ebe47fc432">&#9670;&nbsp;</a></span>AdditionBroadcastInt32Test()</h2>
506
507<div class="memitem">
508<div class="memproto">
509 <table class="memname">
510 <tr>
511 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 4&gt; AdditionBroadcastInt32Test </td>
512 <td>(</td>
513 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
514 <td class="paramname"><em>workloadFactory</em>, </td>
515 </tr>
516 <tr>
517 <td class="paramkey"></td>
518 <td></td>
519 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
520 <td class="paramname"><em>memoryManager</em>, </td>
521 </tr>
522 <tr>
523 <td class="paramkey"></td>
524 <td></td>
525 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
526 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
527 </tr>
528 <tr>
529 <td></td>
530 <td>)</td>
531 <td></td><td></td>
532 </tr>
533 </table>
534</div><div class="memdoc">
535
536<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00364">364</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
537
538<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p>
539<div class="fragment"><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>&#160;{</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>&#160; <span class="keywordflow">return</span> AdditionBroadcastTestImpl&lt;armnn::DataType::Signed32&gt;(</div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>&#160; workloadFactory, memoryManager, 1.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>&#160;}</div></div><!-- fragment -->
540</div>
541</div>
542<a id="a06e8e0aff46bf24d79475f60a611b9ef"></a>
543<h2 class="memtitle"><span class="permalink"><a href="#a06e8e0aff46bf24d79475f60a611b9ef">&#9670;&nbsp;</a></span>AdditionBroadcastTest()</h2>
544
545<div class="memitem">
546<div class="memproto">
547 <table class="memname">
548 <tr>
549 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float, 4&gt; AdditionBroadcastTest </td>
550 <td>(</td>
551 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
552 <td class="paramname"><em>workloadFactory</em>, </td>
553 </tr>
554 <tr>
555 <td class="paramkey"></td>
556 <td></td>
557 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
558 <td class="paramname"><em>memoryManager</em>, </td>
559 </tr>
560 <tr>
561 <td class="paramkey"></td>
562 <td></td>
563 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
564 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
565 </tr>
566 <tr>
567 <td></td>
568 <td>)</td>
569 <td></td><td></td>
570 </tr>
571 </table>
572</div><div class="memdoc">
573
574<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00337">337</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
575
576<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
577<div class="fragment"><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160;{</div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <span class="keywordflow">return</span> AdditionBroadcastTestImpl&lt;armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; workloadFactory, memoryManager, 0.0f, 0, tensorHandleFactory);</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160;}</div></div><!-- fragment -->
578</div>
579</div>
580<a id="af8dcf242a8b53fb21b81687fd9e9014d"></a>
581<h2 class="memtitle"><span class="permalink"><a href="#af8dcf242a8b53fb21b81687fd9e9014d">&#9670;&nbsp;</a></span>AdditionBroadcastTestImpl()</h2>
582
583<div class="memitem">
584<div class="memproto">
585 <table class="memname">
586 <tr>
587 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; AdditionBroadcastTestImpl </td>
588 <td>(</td>
589 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
590 <td class="paramname"><em>workloadFactory</em>, </td>
591 </tr>
592 <tr>
593 <td class="paramkey"></td>
594 <td></td>
595 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
596 <td class="paramname"><em>memoryManager</em>, </td>
597 </tr>
598 <tr>
599 <td class="paramkey"></td>
600 <td></td>
601 <td class="paramtype">float&#160;</td>
602 <td class="paramname"><em>qScale</em>, </td>
603 </tr>
604 <tr>
605 <td class="paramkey"></td>
606 <td></td>
607 <td class="paramtype">int32_t&#160;</td>
608 <td class="paramname"><em>qOffset</em>, </td>
609 </tr>
610 <tr>
611 <td class="paramkey"></td>
612 <td></td>
613 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
614 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
615 </tr>
616 <tr>
617 <td></td>
618 <td>)</td>
619 <td></td><td></td>
620 </tr>
621 </table>
622</div><div class="memdoc">
623
624<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00167">167</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
625
626<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01513">IWorkloadFactory::CreateAddition()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00491">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00475">TensorInfo::SetQuantizationScale()</a>.</p>
627<div class="fragment"><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160;{</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({1, 3, 2, 1}, ArmnnType);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo2 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({1, 1, 2, 3}, ArmnnType);</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> outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({1, 3, 2, 3}, 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">if</span> (armnn::IsQuantizedType&lt;T&gt;())</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; inputTensorInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; inputTensorInfo1.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; inputTensorInfo2.SetQuantizationScale(qScale);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; inputTensorInfo2.SetQuantizationOffset(qOffset);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; outputTensorInfo.SetQuantizationScale(qScale);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; outputTensorInfo.SetQuantizationOffset(qOffset);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; }</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160;</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160; <span class="keyword">auto</span> input1 = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; 0.0f,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; 1.0f,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 2.0f,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; 3.0f,</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; 4.0f,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; 5.0f,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; },</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; qScale, qOffset);</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; <span class="keyword">auto</span> input2 = armnnUtils::QuantizedVector&lt;T&gt;(</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; 0.5f, 1.5f, 2.5f,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; 3.5f, 4.5f, 5.5f,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; },</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; qScale, qOffset);</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; std::vector&lt;T&gt; actualOutput(outputTensorInfo.GetNumElements());</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; <span class="keyword">auto</span> expectedOutput = armnnUtils::QuantizedVector&lt;T&gt;(</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; 0.5f, 1.5f, 2.5f,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; 4.5f, 5.5f, 6.5f,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160; 2.5f, 3.5f, 4.5f,</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; 6.5f, 7.5f, 8.5f,</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; 4.5f, 5.5f, 6.5f,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; 8.5f, 9.5f, 10.5f,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; },</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; qScale, qOffset);</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; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle2 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160;</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> data;</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a>(data, info);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160;</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.data());</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), input2.data());</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160;</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160;</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160;</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a>(actualOutput,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; expectedOutput,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; outputHandle-&gt;GetShape(),</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; outputTensorInfo.GetShape());</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</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>
628<div class="ttc" id="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00263">WorkloadData.hpp:263</a></div></div>
629<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
630<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#l00475">Tensor.cpp:475</a></div></div>
631<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
632<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
633<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_acf187617ed4cdd6625b396d6b194923e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">armnn::IWorkloadFactory::CreateAddition</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateAddition(const AdditionQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01513">WorkloadFactory.cpp:1513</a></div></div>
634<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
635<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div>
636<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00491">Tensor.cpp:491</a></div></div>
637<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo) const =0</div></div>
638<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
639</div><!-- fragment -->
640</div>
641</div>
642<a id="a29042a4c219c128b04eebf06e98c179f"></a>
643<h2 class="memtitle"><span class="permalink"><a href="#a29042a4c219c128b04eebf06e98c179f">&#9670;&nbsp;</a></span>AdditionBroadcastUint8Test()</h2>
644
645<div class="memitem">
646<div class="memproto">
647 <table class="memname">
648 <tr>
649 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; AdditionBroadcastUint8Test </td>
650 <td>(</td>
651 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
652 <td class="paramname"><em>workloadFactory</em>, </td>
653 </tr>
654 <tr>
655 <td class="paramkey"></td>
656 <td></td>
657 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
658 <td class="paramname"><em>memoryManager</em>, </td>
659 </tr>
660 <tr>
661 <td class="paramkey"></td>
662 <td></td>
663 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
664 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
665 </tr>
666 <tr>
667 <td></td>
668 <td>)</td>
669 <td></td><td></td>
670 </tr>
671 </table>
672</div><div class="memdoc">
673
674<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00346">346</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
675
676<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
677<div class="fragment"><div class="line"><a name="l00350"></a><span class="lineno"> 350</span>&#160;{</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>&#160; <span class="keywordflow">return</span> AdditionBroadcastTestImpl&lt;armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>&#160; workloadFactory, memoryManager, 2.f, 0, tensorHandleFactory);</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>&#160;}</div></div><!-- fragment -->
678</div>
679</div>
680<a id="a79a80b0dcf71cb9830d023bb87a9fece"></a>
681<h2 class="memtitle"><span class="permalink"><a href="#a79a80b0dcf71cb9830d023bb87a9fece">&#9670;&nbsp;</a></span>AdditionInt16Test()</h2>
682
683<div class="memitem">
684<div class="memproto">
685 <table class="memname">
686 <tr>
687 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int16_t, 4&gt; AdditionInt16Test </td>
688 <td>(</td>
689 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
690 <td class="paramname"><em>workloadFactory</em>, </td>
691 </tr>
692 <tr>
693 <td class="paramkey"></td>
694 <td></td>
695 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
696 <td class="paramname"><em>memoryManager</em>, </td>
697 </tr>
698 <tr>
699 <td class="paramkey"></td>
700 <td></td>
701 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
702 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
703 </tr>
704 <tr>
705 <td></td>
706 <td>)</td>
707 <td></td><td></td>
708 </tr>
709 </table>
710</div><div class="memdoc">
711
712<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00453">453</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
713
714<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p>
715<div class="fragment"><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;{</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>&#160;</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>&#160; std::vector&lt;int16_t&gt; input0 =</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span>&#160; {</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span>&#160; 63, 35, 77, 70, 56, 112, <span class="comment">// 441, 245, 539, 490, 392, 184</span></div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160; 203, 28, 252, 168, 245, 91 <span class="comment">// 1421, 196, 1764, 1176, 1715, 637</span></div><div class="line"><a name="l00465"></a><span class="lineno"> 465</span>&#160; };</div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span>&#160;</div><div class="line"><a name="l00467"></a><span class="lineno"> 467</span>&#160; std::vector&lt;int16_t&gt; input1 =</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span>&#160; {</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160; 21, 7, 175, 231, 175, 210, <span class="comment">// 126, 28, 1204, 1596, 1204, 1449</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; 126, 161, 63, 21, 105, 126 <span class="comment">// 861, 1106, 420, 126, 714, 861</span></div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160; };</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>&#160;</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>&#160; std::vector&lt;int16_t&gt; output =</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>&#160; {</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>&#160; 84, 42, 252, 301, 231, 322, <span class="comment">// 588, 294, 1764, 2107(clamped), 1617, 2254(clamped)</span></div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160; 329, 189, 315, 189, 350, 217, <span class="comment">// 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519</span></div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; };</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>&#160; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;4, armnn::AdditionQueueDescriptor, armnn::DataType::QSymmS16&gt;(</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>&#160; workloadFactory,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>&#160; memoryManager,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>&#160; shape0,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160; input0,</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; 7.0f,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160; 0,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>&#160; shape1,</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>&#160; input1,</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span>&#160; 7.0f,</div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>&#160; 0,</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160; shape0,</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; output,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span>&#160; 7.0f,</div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>&#160; 0);</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>&#160;}</div></div><!-- fragment -->
716</div>
717</div>
718<a id="a973d6c9b8bc4d27bc0dd1242178fa805"></a>
719<h2 class="memtitle"><span class="permalink"><a href="#a973d6c9b8bc4d27bc0dd1242178fa805">&#9670;&nbsp;</a></span>AdditionInt32Test()</h2>
720
721<div class="memitem">
722<div class="memproto">
723 <table class="memname">
724 <tr>
725 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;int32_t, 4&gt; AdditionInt32Test </td>
726 <td>(</td>
727 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
728 <td class="paramname"><em>workloadFactory</em>, </td>
729 </tr>
730 <tr>
731 <td class="paramkey"></td>
732 <td></td>
733 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
734 <td class="paramname"><em>memoryManager</em>, </td>
735 </tr>
736 <tr>
737 <td class="paramkey"></td>
738 <td></td>
739 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
740 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
741 </tr>
742 <tr>
743 <td></td>
744 <td>)</td>
745 <td></td><td></td>
746 </tr>
747 </table>
748</div><div class="memdoc">
749
750<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00497">497</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
751
752<p class="reference">Referenced by <a class="el" href="_ref_layer_tests_8cpp_source.xhtml#l00014">TEST_SUITE()</a>.</p>
753<div class="fragment"><div class="line"><a name="l00501"></a><span class="lineno"> 501</span>&#160;{</div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>&#160;</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span>&#160; std::vector&lt;int32_t&gt; input0 =</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span>&#160; {</div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span>&#160; 63, 35, 77, 70, 56, 112, <span class="comment">// 441, 245, 539, 490, 392, 184</span></div><div class="line"><a name="l00508"></a><span class="lineno"> 508</span>&#160; 203, 28, 252, 168, 245, 91 <span class="comment">// 1421, 196, 1764, 1176, 1715, 637</span></div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span>&#160; };</div><div class="line"><a name="l00510"></a><span class="lineno"> 510</span>&#160;</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span>&#160; std::vector&lt;int32_t&gt; input1 =</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span>&#160; {</div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>&#160; 21, 7, 175, 231, 175, 210, <span class="comment">// 126, 28, 1204, 1596, 1204, 1449</span></div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>&#160; 126, 161, 63, 21, 105, 126 <span class="comment">// 861, 1106, 420, 126, 714, 861</span></div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>&#160; };</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>&#160;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span>&#160; std::vector&lt;int32_t&gt; output =</div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>&#160; {</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>&#160; 84, 42, 252, 301, 231, 322, <span class="comment">// 588, 294, 1764, 2107(clamped), 1617, 2254(clamped)</span></div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span>&#160; 329, 189, 315, 189, 350, 217, <span class="comment">// 2303(clamped), 1323, 2205(clamped), 1323, 2450(clamped), 1519</span></div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>&#160; };</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>&#160;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>&#160; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;4, armnn::AdditionQueueDescriptor, armnn::DataType::Signed32&gt;(</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>&#160; workloadFactory,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>&#160; memoryManager,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>&#160; shape0,</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>&#160; input0,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>&#160; 1.0f,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>&#160; 0,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>&#160; shape1,</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span>&#160; input1,</div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>&#160; 1.0f,</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>&#160; 0,</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>&#160; shape0,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>&#160; output,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>&#160; 1.0f,</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>&#160; 0);</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>&#160;}</div></div><!-- fragment -->
754</div>
755</div>
756<a id="a5e9b2ce84031d422f4d7c3e8f5b50caa"></a>
757<h2 class="memtitle"><span class="permalink"><a href="#a5e9b2ce84031d422f4d7c3e8f5b50caa">&#9670;&nbsp;</a></span>AdditionTest()</h2>
758
759<div class="memitem">
760<div class="memproto">
761 <table class="memname">
762 <tr>
763 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float,4&gt; AdditionTest </td>
764 <td>(</td>
765 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
766 <td class="paramname"><em>workloadFactory</em>, </td>
767 </tr>
768 <tr>
769 <td class="paramkey"></td>
770 <td></td>
771 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
772 <td class="paramname"><em>memoryManager</em>, </td>
773 </tr>
774 <tr>
775 <td class="paramkey"></td>
776 <td></td>
777 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
778 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
779 </tr>
780 <tr>
781 <td></td>
782 <td>)</td>
783 <td></td><td></td>
784 </tr>
785 </table>
786</div><div class="memdoc">
787
788<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00022">22</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
789
790<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
791<div class="fragment"><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;{</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 2u;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 2u;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2u;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3u;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = { batchSize, channels, height, width };</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; std::vector&lt;float&gt; input1 =</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; 0.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; 0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; 1.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; 0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; 0.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; 4.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; 0.0f, 0.0f, 1.0f,</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; 0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; };</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; std::vector&lt;float&gt; input2 =</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; {</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; 1.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; 0.0f, 1.0f, 2.0f,</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; 1.0f, 2.0f, -2.0f,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; 0.2f, 1.0f, 2.0f,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; 0.0f, 2.0f, 1.0f,</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; 4.2f, 0.0f, -3.0f,</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; 0.0f, 0.0f, 1.0f,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; 0.7f, 1.0f, 5.0f,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; };</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; std::vector&lt;float&gt; output</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; {</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; 1.0f, 4.0f, 2.0f,</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; 0.2f, 2.0f, 4.0f,</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; 2.0f, 4.0f, -1.0f,</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; 0.4f, 2.0f, 4.0f,</div><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; 0.0f, 4.0f, 2.0f,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; 8.4f, 1.0f, -1.0f,</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; 0.0f, 0.0f, 2.0f,</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; 0.9f, 2.0f, 7.0f,</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; };</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;4, armnn::AdditionQueueDescriptor, armnn::DataType::Float32&gt;(</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; workloadFactory,</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; memoryManager,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; shape,</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; input1,</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; shape,</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; input2,</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; shape,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; output,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; tensorHandleFactory);</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;}</div></div><!-- fragment -->
792</div>
793</div>
794<a id="a1dd634880d3a67fe2e143498bc76abe7"></a>
795<h2 class="memtitle"><span class="permalink"><a href="#a1dd634880d3a67fe2e143498bc76abe7">&#9670;&nbsp;</a></span>AdditionUint8Test()</h2>
796
797<div class="memitem">
798<div class="memproto">
799 <table class="memname">
800 <tr>
801 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;uint8_t, 4&gt; AdditionUint8Test </td>
802 <td>(</td>
803 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
804 <td class="paramname"><em>workloadFactory</em>, </td>
805 </tr>
806 <tr>
807 <td class="paramkey"></td>
808 <td></td>
809 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
810 <td class="paramname"><em>memoryManager</em>, </td>
811 </tr>
812 <tr>
813 <td class="paramkey"></td>
814 <td></td>
815 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
816 <td class="paramname"><em>tensorHandleFactory</em>&#160;</td>
817 </tr>
818 <tr>
819 <td></td>
820 <td>)</td>
821 <td></td><td></td>
822 </tr>
823 </table>
824</div><div class="memdoc">
825
826<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00409">409</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
827
828<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
829<div class="fragment"><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;{</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape0[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>&#160; <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape1[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>&#160;</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span>&#160; std::vector&lt;uint8_t&gt; input0(</div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>&#160; {</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span>&#160; 63, 35, 77, 70, 56, 112, <span class="comment">// 420, 224, 518, 469, 371, 763</span></div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>&#160; 203, 28, 252, 168, 245, 91 <span class="comment">// 1400, 175, 1743, 1155, 1694, 616</span></div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>&#160; });</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>&#160;</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>&#160; std::vector&lt;uint8_t&gt; input1(</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>&#160; {</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>&#160; 21, 7, 175, 231, 175, 210, <span class="comment">// 126, 28, 1204, 1596, 1204, 1449</span></div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span>&#160; 126, 161, 63, 21, 105, 126 <span class="comment">// 861, 1106, 420, 126, 714, 861</span></div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span>&#160; });</div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span>&#160;</div><div class="line"><a name="l00429"></a><span class="lineno"> 429</span>&#160; std::vector&lt;uint8_t&gt; output(</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>&#160; {</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>&#160; 81, 39, 249, 255, 228, 255, <span class="comment">// 546, 252, 1722, 2065(clamped), 1575, 2212(clamped)</span></div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>&#160; 255, 186, 255, 186, 255, 214, <span class="comment">// 2261(clamped), 1281, 2163(clamped), 1281, 2408(clamped), 1477</span></div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span>&#160; });</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>&#160;</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>&#160; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;4, armnn::AdditionQueueDescriptor, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span>&#160; workloadFactory,</div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>&#160; memoryManager,</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>&#160; shape0,</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>&#160; input0,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>&#160; 7.0f,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>&#160; 3,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>&#160; shape1,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>&#160; input1,</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>&#160; 7.0f,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>&#160; 3,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>&#160; shape0,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>&#160; output,</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; 7.0f,</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160; 3);</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>&#160;}</div></div><!-- fragment -->
830</div>
831</div>
832<a id="ac1b5a61a67e59c98458071a03c53d77a"></a>
833<h2 class="memtitle"><span class="permalink"><a href="#ac1b5a61a67e59c98458071a03c53d77a">&#9670;&nbsp;</a></span>CompareAdditionTest()</h2>
834
835<div class="memitem">
836<div class="memproto">
837 <table class="memname">
838 <tr>
839 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;float,4&gt; CompareAdditionTest </td>
840 <td>(</td>
841 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
842 <td class="paramname"><em>workloadFactory</em>, </td>
843 </tr>
844 <tr>
845 <td class="paramkey"></td>
846 <td></td>
847 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
848 <td class="paramname"><em>memoryManager</em>, </td>
849 </tr>
850 <tr>
851 <td class="paramkey"></td>
852 <td></td>
853 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
854 <td class="paramname"><em>refWorkloadFactory</em>, </td>
855 </tr>
856 <tr>
857 <td class="paramkey"></td>
858 <td></td>
859 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
860 <td class="paramname"><em>tensorHandleFactory</em>, </td>
861 </tr>
862 <tr>
863 <td class="paramkey"></td>
864 <td></td>
865 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
866 <td class="paramname"><em>refTensorHandleFactory</em>&#160;</td>
867 </tr>
868 <tr>
869 <td></td>
870 <td>)</td>
871 <td></td><td></td>
872 </tr>
873 </table>
874</div><div class="memdoc">
875
876<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00640">640</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
877
878<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01513">IWorkloadFactory::CreateAddition()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00196">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetShape()</a>, and <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>.</p>
879
880<p class="reference">Referenced by <a class="el" href="_cl_layer_tests_8cpp_source.xhtml#l00027">TEST_SUITE()</a>.</p>
881<div class="fragment"><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>&#160;{</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00648"></a><span class="lineno"> 648</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> batchSize = 4;</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> channels = 1;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> height = 2;</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> width = 3;</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>&#160;</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1, inputTensorInfo2;</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>&#160;</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> shape[] = {batchSize, channels, height, width};</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>&#160;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>&#160; inputTensorInfo1 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>&#160; inputTensorInfo2 = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, shape, <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span>&#160;</div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>&#160; <span class="keyword">auto</span> input1 = MakeRandomTensor&lt;float&gt;(inputTensorInfo1, 1232);</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>&#160; <span class="keyword">auto</span> input2 = MakeRandomTensor&lt;float&gt;(inputTensorInfo2, 456);</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>&#160;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>&#160; std::vector&lt;float&gt; actualOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>&#160; std::vector&lt;float&gt; expectedOutput(outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>&#160;</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle2 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>&#160;</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle1Ref = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle2Ref = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo2);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandleRef = refTensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>&#160;</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>&#160; <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> data;</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>&#160; AddInputToWorkload(data, info, inputTensorInfo2, inputHandle2.get());</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>&#160;</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>&#160; <a class="code" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> refData = data;</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> refInfo = info;</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span>&#160; SetWorkloadInput(refData, refInfo, 0, inputTensorInfo1, inputHandle1Ref.get());</div><div class="line"><a name="l00685"></a><span class="lineno"> 685</span>&#160; SetWorkloadInput(refData, refInfo, 1, inputTensorInfo2, inputHandle2Ref.get());</div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span>&#160; SetWorkloadOutput(refData, refInfo, 0, outputTensorInfo, outputHandleRef.get());</div><div class="line"><a name="l00687"></a><span class="lineno"> 687</span>&#160;</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a>(data, info);</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workloadRef = refWorkloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a>(refData, refInfo);</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>&#160;</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>&#160; inputHandle2-&gt;Allocate();</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span>&#160; inputHandle1Ref-&gt;Allocate();</div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>&#160; inputHandle2Ref-&gt;Allocate();</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>&#160; outputHandleRef-&gt;Allocate();</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>&#160;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), input1.data());</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2.get(), input2.data());</div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1Ref.get(), input1.data());</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle2Ref.get(), input2.data());</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>&#160;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>&#160; workloadRef-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>&#160; workloadRef-&gt;Execute();</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>&#160;</div><div class="line"><a name="l00708"></a><span class="lineno"> 708</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00709"></a><span class="lineno"> 709</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(expectedOutput.data(), outputHandleRef.get());</div><div class="line"><a name="l00710"></a><span class="lineno"> 710</span>&#160;</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>&#160; <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;float, 4&gt;</a>(actualOutput,</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>&#160; expectedOutput,</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>&#160; outputHandle-&gt;GetShape(),</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>());</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00191">Tensor.hpp:191</a></div></div>
882<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>
883<div class="ttc" id="structarmnn_1_1_addition_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00263">WorkloadData.hpp:263</a></div></div>
884<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
885<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
886<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
887<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_acf187617ed4cdd6625b396d6b194923e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">armnn::IWorkloadFactory::CreateAddition</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateAddition(const AdditionQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01513">WorkloadFactory.cpp:1513</a></div></div>
888<div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
889<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
890<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div>
891<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo) const =0</div></div>
892<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00196">Tensor.hpp:196</a></div></div>
893<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
894</div><!-- fragment -->
895</div>
896</div>
897<a id="a5f3caae0b1541a904067544dd37655f0"></a>
898<h2 class="memtitle"><span class="permalink"><a href="#a5f3caae0b1541a904067544dd37655f0">&#9670;&nbsp;</a></span>CreateWorkload< armnn::AdditionQueueDescriptor >()</h2>
899
900<div class="memitem">
901<div class="memproto">
902 <table class="memname">
903 <tr>
904 <td class="memname">std::unique_ptr&lt;<a class="el" href="classarmnn_1_1_i_workload.xhtml">armnn::IWorkload</a>&gt; <a class="el" href="_elementwise_unary_test_impl_8hpp.xhtml#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>&lt; <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> &gt; </td>
905 <td>(</td>
906 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
907 <td class="paramname"><em>workloadFactory</em>, </td>
908 </tr>
909 <tr>
910 <td class="paramkey"></td>
911 <td></td>
912 <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> &amp;&#160;</td>
913 <td class="paramname"><em>info</em>, </td>
914 </tr>
915 <tr>
916 <td class="paramkey"></td>
917 <td></td>
918 <td class="paramtype">const <a class="el" href="structarmnn_1_1_addition_queue_descriptor.xhtml">armnn::AdditionQueueDescriptor</a> &amp;&#160;</td>
919 <td class="paramname"><em>descriptor</em>&#160;</td>
920 </tr>
921 <tr>
922 <td></td>
923 <td>)</td>
924 <td></td><td></td>
925 </tr>
926 </table>
927</div><div class="memdoc">
928
929<p class="definition">Definition at line <a class="el" href="_addition_test_impl_8cpp_source.xhtml#l00014">14</a> of file <a class="el" href="_addition_test_impl_8cpp_source.xhtml">AdditionTestImpl.cpp</a>.</p>
930<div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;{</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; <span class="keywordflow">return</span> workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">CreateAddition</a>(descriptor, info);</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_acf187617ed4cdd6625b396d6b194923e"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#acf187617ed4cdd6625b396d6b194923e">armnn::IWorkloadFactory::CreateAddition</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateAddition(const AdditionQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01513">WorkloadFactory.cpp:1513</a></div></div>
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