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86<div class="title">PadTestImpl.cpp File Reference</div> </div>
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88<div class="contents">
89<div class="textblock"><code>#include &quot;<a class="el" href="_pad_test_impl_8hpp_source.html">PadTestImpl.hpp</a>&quot;</code><br />
90<code>#include &lt;<a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>&gt;</code><br />
91<code>#include &lt;<a class="el" href="_tensor_copy_utils_8hpp_source.html">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</code><br />
92<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
93<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.html">test/TensorHelpers.hpp</a>&gt;</code><br />
94</div>
95<p><a href="_pad_test_impl_8cpp_source.html">Go to the source code of this file.</a></p>
96<table class="memberdecls">
97<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
98Functions</h2></td></tr>
99<tr class="memitem:a2efccf857e77f59789d3c9c655943291"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
100<tr class="memitem:a2efccf857e77f59789d3c9c655943291"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 2 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a2efccf857e77f59789d3c9c655943291">Pad2dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset, const float customPaddingValue)</td></tr>
101<tr class="separator:a2efccf857e77f59789d3c9c655943291"><td class="memSeparator" colspan="2">&#160;</td></tr>
102<tr class="memitem:a106adefa1af15bdc68068403d7e93cd3"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
103<tr class="memitem:a106adefa1af15bdc68068403d7e93cd3"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 3 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a106adefa1af15bdc68068403d7e93cd3">Pad3dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
104<tr class="separator:a106adefa1af15bdc68068403d7e93cd3"><td class="memSeparator" colspan="2">&#160;</td></tr>
105<tr class="memitem:a878a628bade11abc79cf8160c518a244"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T &gt; </td></tr>
106<tr class="memitem:a878a628bade11abc79cf8160c518a244"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a878a628bade11abc79cf8160c518a244">Pad4dTestCommon</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
107<tr class="separator:a878a628bade11abc79cf8160c518a244"><td class="memSeparator" colspan="2">&#160;</td></tr>
108<tr class="memitem:a24623189bdff065b5c460ccf1bf1d2a5"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt;, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a24623189bdff065b5c460ccf1bf1d2a5">Pad2dTestCommon&lt; armnn::DataType::QSymmS16 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset, const float customPaddingValue)</td></tr>
109<tr class="separator:a24623189bdff065b5c460ccf1bf1d2a5"><td class="memSeparator" colspan="2">&#160;</td></tr>
110<tr class="memitem:aa4b8680c12e23cb559423cd5e0d1fa0b"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt;, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#aa4b8680c12e23cb559423cd5e0d1fa0b">Pad3dTestCommon&lt; armnn::DataType::QSymmS16 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
111<tr class="separator:aa4b8680c12e23cb559423cd5e0d1fa0b"><td class="memSeparator" colspan="2">&#160;</td></tr>
112<tr class="memitem:a1d5ac36b84c29b8576869770ee5973f6"><td class="memItemLeft" align="right" valign="top">template <a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; <a class="el" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt; <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt;, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a1d5ac36b84c29b8576869770ee5973f6">Pad4dTestCommon&lt; armnn::DataType::QSymmS16 &gt;</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, float qScale, int32_t qOffset)</td></tr>
113<tr class="separator:a1d5ac36b84c29b8576869770ee5973f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
114<tr class="memitem:af9c6d2cdf6ad5b749e618ccc6fb43311"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#af9c6d2cdf6ad5b749e618ccc6fb43311">PadUint82dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
115<tr class="separator:af9c6d2cdf6ad5b749e618ccc6fb43311"><td class="memSeparator" colspan="2">&#160;</td></tr>
116<tr class="memitem:a07b74f034f52a7c5dae44a74efb8019e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; uint8_t, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a07b74f034f52a7c5dae44a74efb8019e">PadUint82dCustomPaddingTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
117<tr class="separator:a07b74f034f52a7c5dae44a74efb8019e"><td class="memSeparator" colspan="2">&#160;</td></tr>
118<tr class="memitem:abffbd2fd1db993ecf50344cf530c21b5"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; uint8_t, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#abffbd2fd1db993ecf50344cf530c21b5">PadUint83dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
119<tr class="separator:abffbd2fd1db993ecf50344cf530c21b5"><td class="memSeparator" colspan="2">&#160;</td></tr>
120<tr class="memitem:a00264a85539177528b812af3df9a664a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; uint8_t, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a00264a85539177528b812af3df9a664a">PadUint84dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
121<tr class="separator:a00264a85539177528b812af3df9a664a"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:a25fabb1639914c21d6704cb4d38a9c84"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a25fabb1639914c21d6704cb4d38a9c84">PadFloat322dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
123<tr class="separator:a25fabb1639914c21d6704cb4d38a9c84"><td class="memSeparator" colspan="2">&#160;</td></tr>
124<tr class="memitem:aaa52b691f1734bf8ed1b983a4ccb9e7c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 2 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#aaa52b691f1734bf8ed1b983a4ccb9e7c">PadFloat322dCustomPaddingTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
125<tr class="separator:aaa52b691f1734bf8ed1b983a4ccb9e7c"><td class="memSeparator" colspan="2">&#160;</td></tr>
126<tr class="memitem:affbb9e1924205682a80918a3ee91df3f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 3 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#affbb9e1924205682a80918a3ee91df3f">PadFloat323dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
127<tr class="separator:affbb9e1924205682a80918a3ee91df3f"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:a154b1f8adf21e8e368d27882d02c0abd"><td class="memItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; float, 4 &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_pad_test_impl_8cpp.html#a154b1f8adf21e8e368d27882d02c0abd">PadFloat324dTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager)</td></tr>
129<tr class="separator:a154b1f8adf21e8e368d27882d02c0abd"><td class="memSeparator" colspan="2">&#160;</td></tr>
130</table>
131<h2 class="groupheader">Function Documentation</h2>
132<a id="a2efccf857e77f59789d3c9c655943291"></a>
133<h2 class="memtitle"><span class="permalink"><a href="#a2efccf857e77f59789d3c9c655943291">&#9670;&nbsp;</a></span>Pad2dTestCommon()</h2>
134
135<div class="memitem">
136<div class="memproto">
137 <table class="memname">
138 <tr>
139 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 2&gt; Pad2dTestCommon </td>
140 <td>(</td>
141 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
142 <td class="paramname"><em>workloadFactory</em>, </td>
143 </tr>
144 <tr>
145 <td class="paramkey"></td>
146 <td></td>
147 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
148 <td class="paramname"><em>memoryManager</em>, </td>
149 </tr>
150 <tr>
151 <td class="paramkey"></td>
152 <td></td>
153 <td class="paramtype">float&#160;</td>
154 <td class="paramname"><em>qScale</em>, </td>
155 </tr>
156 <tr>
157 <td class="paramkey"></td>
158 <td></td>
159 <td class="paramtype">int32_t&#160;</td>
160 <td class="paramname"><em>qOffset</em>, </td>
161 </tr>
162 <tr>
163 <td class="paramkey"></td>
164 <td></td>
165 <td class="paramtype">const float&#160;</td>
166 <td class="paramname"><em>customPaddingValue</em>&#160;</td>
167 </tr>
168 <tr>
169 <td></td>
170 <td>)</td>
171 <td></td><td></td>
172 </tr>
173 </table>
174</div><div class="memdoc">
175
176<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00020">20</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
177
178<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01311">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_descriptors_8hpp_source.html#l00923">PadDescriptor::m_PadValue</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
179<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; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 3, 3 };</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 7, 7 };</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</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;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</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; <span class="comment">// Height (3) x Width (3)</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; 4, 8, 6,</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; 7, 4, 4,</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; 3, 2, 4</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; },</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keyword">auto</span> p = customPaddingValue;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; std::vector&lt;T&gt; expectedOutputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; p, p, 4, 8, 6, p, p,</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; p, p, 7, 4, 4, p, p,</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; p, p, 3, 2, 4, p, p,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; p, p, p, p, p, p, p,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; p, p, p, p, p, p, p</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; qScale, qOffset);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keyword">auto</span> inputTensor = MakeTensor&lt;T, 2&gt;(inputTensorInfo, std::vector&lt;T&gt;(inputValues));</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 2&gt;</a> result(outputTensorInfo);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; result.outputExpected = MakeTensor&lt;T, 2&gt;(outputTensorInfo, std::vector&lt;T&gt;(expectedOutputValues));</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</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; <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; padList;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; padList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; padList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</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; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = padList;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a410fa919f78af0f0f100bd1594eca4ab">m_PadValue</a> = customPaddingValue;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</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; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0]);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0], outputHandle.get());</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePad(const PadQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01311">WorkloadFactory.cpp:1311</a></div></div>
180<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
181<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
182<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
183<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
184<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
185<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
186<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
187<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
188<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00252">WorkloadData.hpp:252</a></div></div>
189<div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a410fa919f78af0f0f100bd1594eca4ab"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a410fa919f78af0f0f100bd1594eca4ab">armnn::PadDescriptor::m_PadValue</a></div><div class="ttdeci">float m_PadValue</div><div class="ttdoc">Optional value to use for padding, defaults to 0. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00923">Descriptors.hpp:923</a></div></div>
190<div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. First is the number of values to add before the tensor in ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00920">Descriptors.hpp:920</a></div></div>
191<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
192</div><!-- fragment -->
193</div>
194</div>
195<a id="a24623189bdff065b5c460ccf1bf1d2a5"></a>
196<h2 class="memtitle"><span class="permalink"><a href="#a24623189bdff065b5c460ccf1bf1d2a5">&#9670;&nbsp;</a></span>Pad2dTestCommon< armnn::DataType::QSymmS16 >()</h2>
197
198<div class="memitem">
199<div class="memproto">
200 <table class="memname">
201 <tr>
202 <td class="memname">template <a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>&gt;, 2&gt; <a class="el" href="_pad_test_impl_8hpp.html#a227a98a0681875f6a4af1b4e2154b1c0">Pad2dTestCommon</a>&lt; <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt; </td>
203 <td>(</td>
204 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
205 <td class="paramname"><em>workloadFactory</em>, </td>
206 </tr>
207 <tr>
208 <td class="paramkey"></td>
209 <td></td>
210 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
211 <td class="paramname"><em>memoryManager</em>, </td>
212 </tr>
213 <tr>
214 <td class="paramkey"></td>
215 <td></td>
216 <td class="paramtype">float&#160;</td>
217 <td class="paramname"><em>qScale</em>, </td>
218 </tr>
219 <tr>
220 <td class="paramkey"></td>
221 <td></td>
222 <td class="paramtype">int32_t&#160;</td>
223 <td class="paramname"><em>qOffset</em>, </td>
224 </tr>
225 <tr>
226 <td class="paramkey"></td>
227 <td></td>
228 <td class="paramtype">const float&#160;</td>
229 <td class="paramname"><em>customPaddingValue</em>&#160;</td>
230 </tr>
231 <tr>
232 <td></td>
233 <td>)</td>
234 <td></td><td></td>
235 </tr>
236 </table>
237</div><div class="memdoc">
238
239</div>
240</div>
241<a id="a106adefa1af15bdc68068403d7e93cd3"></a>
242<h2 class="memtitle"><span class="permalink"><a href="#a106adefa1af15bdc68068403d7e93cd3">&#9670;&nbsp;</a></span>Pad3dTestCommon()</h2>
243
244<div class="memitem">
245<div class="memproto">
246 <table class="memname">
247 <tr>
248 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 3&gt; Pad3dTestCommon </td>
249 <td>(</td>
250 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
251 <td class="paramname"><em>workloadFactory</em>, </td>
252 </tr>
253 <tr>
254 <td class="paramkey"></td>
255 <td></td>
256 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
257 <td class="paramname"><em>memoryManager</em>, </td>
258 </tr>
259 <tr>
260 <td class="paramkey"></td>
261 <td></td>
262 <td class="paramtype">float&#160;</td>
263 <td class="paramname"><em>qScale</em>, </td>
264 </tr>
265 <tr>
266 <td class="paramkey"></td>
267 <td></td>
268 <td class="paramtype">int32_t&#160;</td>
269 <td class="paramname"><em>qOffset</em>&#160;</td>
270 </tr>
271 <tr>
272 <td></td>
273 <td>)</td>
274 <td></td><td></td>
275 </tr>
276 </table>
277</div><div class="memdoc">
278
279<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00093">93</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
280
281<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01311">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
282<div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;{</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 2, 2, 2 };</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 3, 5, 6 };</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; std::vector&lt;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="comment">// Channel 0, Height (2) x Width (2)</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; 0, 4,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; 2, 5,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <span class="comment">// Channel 1, Height (2) x Width (2)</span></div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; 6, 1,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; 5, 2</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; },</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; std::vector&lt;T&gt; expectedOutputValues = armnnUtils::QuantizedVector&lt;T&gt;(</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; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; 0, 0, 0, 4, 0, 0,</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; 0, 0, 2, 5, 0, 0,</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; 0, 0, 6, 1, 0, 0,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; 0, 0, 5, 2, 0, 0,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; 0, 0, 0, 0, 0, 0,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; 0, 0, 0, 0, 0, 0</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; qScale, qOffset);</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; <span class="keyword">auto</span> inputTensor = MakeTensor&lt;T, 3&gt;(inputTensorInfo, std::vector&lt;T&gt;(inputValues));</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, 3&gt;</a> result(outputTensorInfo);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; result.outputExpected = MakeTensor&lt;T, 3&gt;(outputTensorInfo, std::vector&lt;T&gt;(expectedOutputValues));</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a> descriptor;</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; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; PadList;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(0,1));</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,1));</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,2));</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = PadList;</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0][0]);</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0][0], outputHandle.get());</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160;</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePad(const PadQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01311">WorkloadFactory.cpp:1311</a></div></div>
283<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
284<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
285<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
286<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
287<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
288<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
289<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
290<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
291<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00252">WorkloadData.hpp:252</a></div></div>
292<div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. First is the number of values to add before the tensor in ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00920">Descriptors.hpp:920</a></div></div>
293<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
294</div><!-- fragment -->
295</div>
296</div>
297<a id="aa4b8680c12e23cb559423cd5e0d1fa0b"></a>
298<h2 class="memtitle"><span class="permalink"><a href="#aa4b8680c12e23cb559423cd5e0d1fa0b">&#9670;&nbsp;</a></span>Pad3dTestCommon< armnn::DataType::QSymmS16 >()</h2>
299
300<div class="memitem">
301<div class="memproto">
302 <table class="memname">
303 <tr>
304 <td class="memname">template <a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>&gt;, 3&gt; <a class="el" href="_pad_test_impl_8hpp.html#a106adefa1af15bdc68068403d7e93cd3">Pad3dTestCommon</a>&lt; <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt; </td>
305 <td>(</td>
306 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
307 <td class="paramname"><em>workloadFactory</em>, </td>
308 </tr>
309 <tr>
310 <td class="paramkey"></td>
311 <td></td>
312 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
313 <td class="paramname"><em>memoryManager</em>, </td>
314 </tr>
315 <tr>
316 <td class="paramkey"></td>
317 <td></td>
318 <td class="paramtype">float&#160;</td>
319 <td class="paramname"><em>qScale</em>, </td>
320 </tr>
321 <tr>
322 <td class="paramkey"></td>
323 <td></td>
324 <td class="paramtype">int32_t&#160;</td>
325 <td class="paramname"><em>qOffset</em>&#160;</td>
326 </tr>
327 <tr>
328 <td></td>
329 <td>)</td>
330 <td></td><td></td>
331 </tr>
332 </table>
333</div><div class="memdoc">
334
335</div>
336</div>
337<a id="a878a628bade11abc79cf8160c518a244"></a>
338<h2 class="memtitle"><span class="permalink"><a href="#a878a628bade11abc79cf8160c518a244">&#9670;&nbsp;</a></span>Pad4dTestCommon()</h2>
339
340<div class="memitem">
341<div class="memproto">
342 <table class="memname">
343 <tr>
344 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, 4&gt; Pad4dTestCommon </td>
345 <td>(</td>
346 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
347 <td class="paramname"><em>workloadFactory</em>, </td>
348 </tr>
349 <tr>
350 <td class="paramkey"></td>
351 <td></td>
352 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
353 <td class="paramname"><em>memoryManager</em>, </td>
354 </tr>
355 <tr>
356 <td class="paramkey"></td>
357 <td></td>
358 <td class="paramtype">float&#160;</td>
359 <td class="paramname"><em>qScale</em>, </td>
360 </tr>
361 <tr>
362 <td class="paramkey"></td>
363 <td></td>
364 <td class="paramtype">int32_t&#160;</td>
365 <td class="paramname"><em>qOffset</em>&#160;</td>
366 </tr>
367 <tr>
368 <td></td>
369 <td>)</td>
370 <td></td><td></td>
371 </tr>
372 </table>
373</div><div class="memdoc">
374
375<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00177">177</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
376
377<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.html#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.html#l01311">IWorkloadFactory::CreatePad()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00920">PadDescriptor::m_PadList</a>, <a class="el" href="_workload_data_8hpp_source.html#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>, <a class="el" href="_layer_test_result_8hpp_source.html#l00040">LayerTestResult&lt; T, n &gt;::output</a>, and <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>.</p>
378<div class="fragment"><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160;{</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160; boost::ignore_unused(memoryManager);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> inputShape{ 2, 2, 3, 2 };</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputShape{ 4, 5, 7, 4 };</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo(inputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo(outputShape, ArmnnType, qScale, qOffset);</div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>&#160;</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>&#160; std::vector&lt;T&gt; inputValues = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>&#160; {</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>&#160; <span class="comment">// Batch 0, Channel 0, Height (3) x Width (2)</span></div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; 0, 1,</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 2, 3,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; 4, 5,</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; 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std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>&#160;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>&#160; <a class="code" href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a> descriptor;</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>&#160;</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>&#160; std::vector&lt;std::pair&lt;unsigned int, unsigned int&gt;&gt; PadList;</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(1,1));</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(2,1));</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(3,1));</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>&#160; PadList.push_back(std::pair&lt;unsigned int, unsigned int&gt;(1,1));</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span>&#160;</div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a>.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a> = PadList;</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span>&#160;</div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>&#160; AddInputToWorkload(descriptor, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>&#160; AddOutputToWorkload(descriptor, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>&#160;</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>&#160; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">CreatePad</a>(descriptor, info);</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span>&#160;</div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>&#160;</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;inputTensor[0][0][0][0]);</div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>&#160;</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>&#160;</div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;result.output[0][0][0][0], outputHandle.get());</div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>&#160;</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>&#160; <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_ab0c956e4a638d0a2777ecb71953f7e27"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#ab0c956e4a638d0a2777ecb71953f7e27">armnn::IWorkloadFactory::CreatePad</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreatePad(const PadQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01311">WorkloadFactory.cpp:1311</a></div></div>
379<div class="ttc" id="_tensor_copy_utils_8cpp_html_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00009">TensorCopyUtils.cpp:9</a></div></div>
380<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
381<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_html_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00049">WorkloadData.hpp:49</a></div></div>
382<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
383<div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">armnn::IWorkloadFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo, const bool IsMemoryManaged=true) const =0</div></div>
384<div class="ttc" id="struct_layer_test_result_html"><div class="ttname"><a href="struct_layer_test_result.html">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.html#l00029">LayerTestResult.hpp:29</a></div></div>
385<div class="ttc" id="_tensor_copy_utils_8cpp_html_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.html#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.html#l00014">TensorCopyUtils.cpp:14</a></div></div>
386<div class="ttc" id="structarmnn_1_1_workload_info_html"><div class="ttname"><a href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.html#l00016">WorkloadInfo.hpp:16</a></div></div>
387<div class="ttc" id="structarmnn_1_1_pad_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pad_queue_descriptor.html">armnn::PadQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00252">WorkloadData.hpp:252</a></div></div>
388<div class="ttc" id="structarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension. First is the number of values to add before the tensor in ...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00920">Descriptors.hpp:920</a></div></div>
389<div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
390</div><!-- fragment -->
391</div>
392</div>
393<a id="a1d5ac36b84c29b8576869770ee5973f6"></a>
394<h2 class="memtitle"><span class="permalink"><a href="#a1d5ac36b84c29b8576869770ee5973f6">&#9670;&nbsp;</a></span>Pad4dTestCommon< armnn::DataType::QSymmS16 >()</h2>
395
396<div class="memitem">
397<div class="memproto">
398 <table class="memname">
399 <tr>
400 <td class="memname">template <a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;<a class="el" href="namespacearmnn.html#a0743ed5e860c316a20b68ca96301b411">armnn::ResolveType</a>&lt;<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>&gt;, 4&gt; <a class="el" href="_pad_test_impl_8hpp.html#a878a628bade11abc79cf8160c518a244">Pad4dTestCommon</a>&lt; <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a> &gt; </td>
401 <td>(</td>
402 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
403 <td class="paramname"><em>workloadFactory</em>, </td>
404 </tr>
405 <tr>
406 <td class="paramkey"></td>
407 <td></td>
408 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
409 <td class="paramname"><em>memoryManager</em>, </td>
410 </tr>
411 <tr>
412 <td class="paramkey"></td>
413 <td></td>
414 <td class="paramtype">float&#160;</td>
415 <td class="paramname"><em>qScale</em>, </td>
416 </tr>
417 <tr>
418 <td class="paramkey"></td>
419 <td></td>
420 <td class="paramtype">int32_t&#160;</td>
421 <td class="paramname"><em>qOffset</em>&#160;</td>
422 </tr>
423 <tr>
424 <td></td>
425 <td>)</td>
426 <td></td><td></td>
427 </tr>
428 </table>
429</div><div class="memdoc">
430
431</div>
432</div>
433<a id="aaa52b691f1734bf8ed1b983a4ccb9e7c"></a>
434<h2 class="memtitle"><span class="permalink"><a href="#aaa52b691f1734bf8ed1b983a4ccb9e7c">&#9670;&nbsp;</a></span>PadFloat322dCustomPaddingTest()</h2>
435
436<div class="memitem">
437<div class="memproto">
438 <table class="memname">
439 <tr>
440 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; PadFloat322dCustomPaddingTest </td>
441 <td>(</td>
442 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
443 <td class="paramname"><em>workloadFactory</em>, </td>
444 </tr>
445 <tr>
446 <td class="paramkey"></td>
447 <td></td>
448 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
449 <td class="paramname"><em>memoryManager</em>&#160;</td>
450 </tr>
451 <tr>
452 <td></td>
453 <td>)</td>
454 <td></td><td></td>
455 </tr>
456 </table>
457</div><div class="memdoc">
458
459<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00480">480</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
460<div class="fragment"><div class="line"><a name="l00483"></a><span class="lineno"> 483</span>&#160;{</div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0, 1.0f);</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>&#160;}</div></div><!-- fragment -->
461</div>
462</div>
463<a id="a25fabb1639914c21d6704cb4d38a9c84"></a>
464<h2 class="memtitle"><span class="permalink"><a href="#a25fabb1639914c21d6704cb4d38a9c84">&#9670;&nbsp;</a></span>PadFloat322dTest()</h2>
465
466<div class="memitem">
467<div class="memproto">
468 <table class="memname">
469 <tr>
470 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 2&gt; PadFloat322dTest </td>
471 <td>(</td>
472 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
473 <td class="paramname"><em>workloadFactory</em>, </td>
474 </tr>
475 <tr>
476 <td class="paramkey"></td>
477 <td></td>
478 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
479 <td class="paramname"><em>memoryManager</em>&#160;</td>
480 </tr>
481 <tr>
482 <td></td>
483 <td>)</td>
484 <td></td><td></td>
485 </tr>
486 </table>
487</div><div class="memdoc">
488
489<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00473">473</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
490<div class="fragment"><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>&#160;{</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>&#160;}</div></div><!-- fragment -->
491</div>
492</div>
493<a id="affbb9e1924205682a80918a3ee91df3f"></a>
494<h2 class="memtitle"><span class="permalink"><a href="#affbb9e1924205682a80918a3ee91df3f">&#9670;&nbsp;</a></span>PadFloat323dTest()</h2>
495
496<div class="memitem">
497<div class="memproto">
498 <table class="memname">
499 <tr>
500 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 3&gt; PadFloat323dTest </td>
501 <td>(</td>
502 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
503 <td class="paramname"><em>workloadFactory</em>, </td>
504 </tr>
505 <tr>
506 <td class="paramkey"></td>
507 <td></td>
508 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
509 <td class="paramname"><em>memoryManager</em>&#160;</td>
510 </tr>
511 <tr>
512 <td></td>
513 <td>)</td>
514 <td></td><td></td>
515 </tr>
516 </table>
517</div><div class="memdoc">
518
519<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00487">487</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
520<div class="fragment"><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>&#160;{</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>&#160; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>&#160;}</div></div><!-- fragment -->
521</div>
522</div>
523<a id="a154b1f8adf21e8e368d27882d02c0abd"></a>
524<h2 class="memtitle"><span class="permalink"><a href="#a154b1f8adf21e8e368d27882d02c0abd">&#9670;&nbsp;</a></span>PadFloat324dTest()</h2>
525
526<div class="memitem">
527<div class="memproto">
528 <table class="memname">
529 <tr>
530 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;float, 4&gt; PadFloat324dTest </td>
531 <td>(</td>
532 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
533 <td class="paramname"><em>workloadFactory</em>, </td>
534 </tr>
535 <tr>
536 <td class="paramkey"></td>
537 <td></td>
538 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
539 <td class="paramname"><em>memoryManager</em>&#160;</td>
540 </tr>
541 <tr>
542 <td></td>
543 <td>)</td>
544 <td></td><td></td>
545 </tr>
546 </table>
547</div><div class="memdoc">
548
549<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00494">494</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
550<div class="fragment"><div class="line"><a name="l00497"></a><span class="lineno"> 497</span>&#160;{</div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::Float32&gt;(workloadFactory, memoryManager, 0.0f, 0);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>&#160;}</div></div><!-- fragment -->
551</div>
552</div>
553<a id="a07b74f034f52a7c5dae44a74efb8019e"></a>
554<h2 class="memtitle"><span class="permalink"><a href="#a07b74f034f52a7c5dae44a74efb8019e">&#9670;&nbsp;</a></span>PadUint82dCustomPaddingTest()</h2>
555
556<div class="memitem">
557<div class="memproto">
558 <table class="memname">
559 <tr>
560 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 2&gt; PadUint82dCustomPaddingTest </td>
561 <td>(</td>
562 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
563 <td class="paramname"><em>workloadFactory</em>, </td>
564 </tr>
565 <tr>
566 <td class="paramkey"></td>
567 <td></td>
568 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
569 <td class="paramname"><em>memoryManager</em>&#160;</td>
570 </tr>
571 <tr>
572 <td></td>
573 <td>)</td>
574 <td></td><td></td>
575 </tr>
576 </table>
577</div><div class="memdoc">
578
579<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00452">452</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
580<div class="fragment"><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>&#160;{</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0, 1.0f);</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>&#160;}</div></div><!-- fragment -->
581</div>
582</div>
583<a id="af9c6d2cdf6ad5b749e618ccc6fb43311"></a>
584<h2 class="memtitle"><span class="permalink"><a href="#af9c6d2cdf6ad5b749e618ccc6fb43311">&#9670;&nbsp;</a></span>PadUint82dTest()</h2>
585
586<div class="memitem">
587<div class="memproto">
588 <table class="memname">
589 <tr>
590 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 2&gt; PadUint82dTest </td>
591 <td>(</td>
592 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
593 <td class="paramname"><em>workloadFactory</em>, </td>
594 </tr>
595 <tr>
596 <td class="paramkey"></td>
597 <td></td>
598 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
599 <td class="paramname"><em>memoryManager</em>&#160;</td>
600 </tr>
601 <tr>
602 <td></td>
603 <td>)</td>
604 <td></td><td></td>
605 </tr>
606 </table>
607</div><div class="memdoc">
608
609<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00445">445</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
610<div class="fragment"><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>&#160;{</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span>&#160; <span class="keywordflow">return</span> Pad2dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>&#160;}</div></div><!-- fragment -->
611</div>
612</div>
613<a id="abffbd2fd1db993ecf50344cf530c21b5"></a>
614<h2 class="memtitle"><span class="permalink"><a href="#abffbd2fd1db993ecf50344cf530c21b5">&#9670;&nbsp;</a></span>PadUint83dTest()</h2>
615
616<div class="memitem">
617<div class="memproto">
618 <table class="memname">
619 <tr>
620 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 3&gt; PadUint83dTest </td>
621 <td>(</td>
622 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
623 <td class="paramname"><em>workloadFactory</em>, </td>
624 </tr>
625 <tr>
626 <td class="paramkey"></td>
627 <td></td>
628 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
629 <td class="paramname"><em>memoryManager</em>&#160;</td>
630 </tr>
631 <tr>
632 <td></td>
633 <td>)</td>
634 <td></td><td></td>
635 </tr>
636 </table>
637</div><div class="memdoc">
638
639<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00459">459</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
640<div class="fragment"><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; <span class="keywordflow">return</span> Pad3dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span>&#160;}</div></div><!-- fragment -->
641</div>
642</div>
643<a id="a00264a85539177528b812af3df9a664a"></a>
644<h2 class="memtitle"><span class="permalink"><a href="#a00264a85539177528b812af3df9a664a">&#9670;&nbsp;</a></span>PadUint84dTest()</h2>
645
646<div class="memitem">
647<div class="memproto">
648 <table class="memname">
649 <tr>
650 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;uint8_t, 4&gt; PadUint84dTest </td>
651 <td>(</td>
652 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
653 <td class="paramname"><em>workloadFactory</em>, </td>
654 </tr>
655 <tr>
656 <td class="paramkey"></td>
657 <td></td>
658 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
659 <td class="paramname"><em>memoryManager</em>&#160;</td>
660 </tr>
661 <tr>
662 <td></td>
663 <td>)</td>
664 <td></td><td></td>
665 </tr>
666 </table>
667</div><div class="memdoc">
668
669<p class="definition">Definition at line <a class="el" href="_pad_test_impl_8cpp_source.html#l00466">466</a> of file <a class="el" href="_pad_test_impl_8cpp_source.html">PadTestImpl.cpp</a>.</p>
670<div class="fragment"><div class="line"><a name="l00469"></a><span class="lineno"> 469</span>&#160;{</div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>&#160; <span class="keywordflow">return</span> Pad4dTestCommon&lt;armnn::DataType::QAsymmU8&gt;(workloadFactory, memoryManager, 1.0f, 0);</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>&#160;}</div></div><!-- fragment -->
671</div>
672</div>
673</div><!-- contents -->
674</div><!-- doc-content -->
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678 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.html">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.html">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.html">layerTests</a></li><li class="navelem"><a class="el" href="_pad_test_impl_8cpp.html">PadTestImpl.cpp</a></li>
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