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84<a href="#func-members">Functions</a> </div>
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86<div class="title">ElementwiseUnaryTestImpl.hpp File Reference</div> </div>
87</div><!--header-->
88<div class="contents">
89<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.html">LayerTestResult.hpp</a>&quot;</code><br />
90<code>#include &lt;<a class="el" href="_arm_n_n_8hpp_source.html">armnn/ArmNN.hpp</a>&gt;</code><br />
91<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>&gt;</code><br />
92<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.html">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
93<code>#include &lt;<a class="el" href="_workload_8hpp_source.html">backendsCommon/Workload.hpp</a>&gt;</code><br />
94<code>#include &lt;<a class="el" href="_workload_data_8hpp_source.html">backendsCommon/WorkloadData.hpp</a>&gt;</code><br />
95<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.html">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
96<code>#include &lt;<a class="el" href="_data_type_utils_8hpp_source.html">backendsCommon/test/DataTypeUtils.hpp</a>&gt;</code><br />
97<code>#include &lt;<a class="el" href="_tensor_copy_utils_8hpp_source.html">backendsCommon/test/TensorCopyUtils.hpp</a>&gt;</code><br />
98<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.html">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
99<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.html">test/TensorHelpers.hpp</a>&gt;</code><br />
100<code>#include &lt;memory&gt;</code><br />
101</div>
102<p><a href="_elementwise_unary_test_impl_8hpp_source.html">Go to the source code of this file.</a></p>
103<table class="memberdecls">
104<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
105Functions</h2></td></tr>
106<tr class="memitem:aa50938ed8f91e09acd4af904dcf5543a"><td class="memItemLeft" align="right" valign="top">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.html">armnn::IWorkload</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> &amp;info, const <a class="el" href="structarmnn_1_1_elementwise_unary_queue_descriptor.html">armnn::ElementwiseUnaryQueueDescriptor</a> &amp;descriptor)</td></tr>
107<tr class="separator:aa50938ed8f91e09acd4af904dcf5543a"><td class="memSeparator" colspan="2">&#160;</td></tr>
108<tr class="memitem:ae8395748ad75142a364a99296a7a9fa0"><td class="memTemplParams" colspan="2">template&lt;std::size_t NumDims, armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
109<tr class="memitem:ae8395748ad75142a364a99296a7a9fa0"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, NumDims &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_unary_test_impl_8hpp.html#ae8395748ad75142a364a99296a7a9fa0">ElementwiseUnaryTestHelper</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a> op, const unsigned int shape[NumDims], std::vector&lt; float &gt; values, float quantScale, int quantOffset, const unsigned int outShape[NumDims], std::vector&lt; float &gt; outValues, float outQuantScale, int outQuantOffset)</td></tr>
110<tr class="separator:ae8395748ad75142a364a99296a7a9fa0"><td class="memSeparator" colspan="2">&#160;</td></tr>
111<tr class="memitem:ae2c54699203437d012a0ee00ca1e29a8"><td class="memTemplParams" colspan="2">template&lt;std::size_t NumDims, armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
112<tr class="memitem:ae2c54699203437d012a0ee00ca1e29a8"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt; T, NumDims &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_unary_test_impl_8hpp.html#ae2c54699203437d012a0ee00ca1e29a8">ElementwiseUnaryTestHelper</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a> op, const unsigned int shape[NumDims], std::vector&lt; float &gt; values, const unsigned int outShape[NumDims], std::vector&lt; float &gt; outValues, float quantScale=1.0f, int quantOffset=0)</td></tr>
113<tr class="separator:ae2c54699203437d012a0ee00ca1e29a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
114</table>
115<h2 class="groupheader">Function Documentation</h2>
116<a id="aa50938ed8f91e09acd4af904dcf5543a"></a>
117<h2 class="memtitle"><span class="permalink"><a href="#aa50938ed8f91e09acd4af904dcf5543a">&#9670;&nbsp;</a></span>CreateWorkload()</h2>
118
119<div class="memitem">
120<div class="memproto">
121 <table class="memname">
122 <tr>
123 <td class="memname">std::unique_ptr&lt;<a class="el" href="classarmnn_1_1_i_workload.html">armnn::IWorkload</a>&gt; CreateWorkload </td>
124 <td>(</td>
125 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
126 <td class="paramname"><em>workloadFactory</em>, </td>
127 </tr>
128 <tr>
129 <td class="paramkey"></td>
130 <td></td>
131 <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.html">armnn::WorkloadInfo</a> &amp;&#160;</td>
132 <td class="paramname"><em>info</em>, </td>
133 </tr>
134 <tr>
135 <td class="paramkey"></td>
136 <td></td>
137 <td class="paramtype">const <a class="el" href="structarmnn_1_1_elementwise_unary_queue_descriptor.html">armnn::ElementwiseUnaryQueueDescriptor</a> &amp;&#160;</td>
138 <td class="paramname"><em>descriptor</em>&#160;</td>
139 </tr>
140 <tr>
141 <td></td>
142 <td>)</td>
143 <td></td><td></td>
144 </tr>
145 </table>
146</div><div class="memdoc">
147
148<p class="definition">Definition at line <a class="el" href="_elementwise_unary_test_impl_8cpp_source.html#l00008">8</a> of file <a class="el" href="_elementwise_unary_test_impl_8cpp_source.html">ElementwiseUnaryTestImpl.cpp</a>.</p>
149
150<p class="reference">References <a class="el" href="_workload_factory_8cpp_source.html#l01184">IWorkloadFactory::CreateElementwiseUnary()</a>.</p>
151
152<p class="reference">Referenced by <a class="el" href="_elementwise_unary_test_impl_8hpp_source.html#l00035">ElementwiseUnaryTestHelper()</a>.</p>
153<div class="fragment"><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;{</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160; <span class="keywordflow">return</span> workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.html#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">CreateElementwiseUnary</a>(descriptor, info);</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_workload_factory_html_a12d2c4e0f0b0d6b36d8a3e14bf69f9e4"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.html#a12d2c4e0f0b0d6b36d8a3e14bf69f9e4">armnn::IWorkloadFactory::CreateElementwiseUnary</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateElementwiseUnary(const ElementwiseUnaryQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;Info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.html#l01184">WorkloadFactory.cpp:1184</a></div></div>
154</div><!-- fragment -->
155</div>
156</div>
157<a id="ae8395748ad75142a364a99296a7a9fa0"></a>
158<h2 class="memtitle"><span class="permalink"><a href="#ae8395748ad75142a364a99296a7a9fa0">&#9670;&nbsp;</a></span>ElementwiseUnaryTestHelper() <span class="overload">[1/2]</span></h2>
159
160<div class="memitem">
161<div class="memproto">
162 <table class="memname">
163 <tr>
164 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, NumDims&gt; ElementwiseUnaryTestHelper </td>
165 <td>(</td>
166 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
167 <td class="paramname"><em>workloadFactory</em>, </td>
168 </tr>
169 <tr>
170 <td class="paramkey"></td>
171 <td></td>
172 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
173 <td class="paramname"><em>memoryManager</em>, </td>
174 </tr>
175 <tr>
176 <td class="paramkey"></td>
177 <td></td>
178 <td class="paramtype"><a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a>&#160;</td>
179 <td class="paramname"><em>op</em>, </td>
180 </tr>
181 <tr>
182 <td class="paramkey"></td>
183 <td></td>
184 <td class="paramtype">const unsigned int&#160;</td>
185 <td class="paramname"><em>shape</em>[NumDims], </td>
186 </tr>
187 <tr>
188 <td class="paramkey"></td>
189 <td></td>
190 <td class="paramtype">std::vector&lt; float &gt;&#160;</td>
191 <td class="paramname"><em>values</em>, </td>
192 </tr>
193 <tr>
194 <td class="paramkey"></td>
195 <td></td>
196 <td class="paramtype">float&#160;</td>
197 <td class="paramname"><em>quantScale</em>, </td>
198 </tr>
199 <tr>
200 <td class="paramkey"></td>
201 <td></td>
202 <td class="paramtype">int&#160;</td>
203 <td class="paramname"><em>quantOffset</em>, </td>
204 </tr>
205 <tr>
206 <td class="paramkey"></td>
207 <td></td>
208 <td class="paramtype">const unsigned int&#160;</td>
209 <td class="paramname"><em>outShape</em>[NumDims], </td>
210 </tr>
211 <tr>
212 <td class="paramkey"></td>
213 <td></td>
214 <td class="paramtype">std::vector&lt; float &gt;&#160;</td>
215 <td class="paramname"><em>outValues</em>, </td>
216 </tr>
217 <tr>
218 <td class="paramkey"></td>
219 <td></td>
220 <td class="paramtype">float&#160;</td>
221 <td class="paramname"><em>outQuantScale</em>, </td>
222 </tr>
223 <tr>
224 <td class="paramkey"></td>
225 <td></td>
226 <td class="paramtype">int&#160;</td>
227 <td class="paramname"><em>outQuantOffset</em>&#160;</td>
228 </tr>
229 <tr>
230 <td></td>
231 <td>)</td>
232 <td></td><td></td>
233 </tr>
234 </table>
235</div><div class="memdoc">
236
237<p class="definition">Definition at line <a class="el" href="_elementwise_unary_test_impl_8hpp_source.html#l00035">35</a> of file <a class="el" href="_elementwise_unary_test_impl_8hpp_source.html">ElementwiseUnaryTestImpl.hpp</a>.</p>
238
239<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="classarmnn_1_1_i_workload_factory.html#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_elementwise_unary_test_impl_8cpp_source.html#l00008">CreateWorkload()</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>, <a class="el" href="_layer_test_result_8hpp_source.html#l00041">LayerTestResult&lt; T, n &gt;::outputExpected</a>, and <a class="el" href="_tensor_8cpp_source.html#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
240<div class="fragment"><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; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo{NumDims, shape, ArmnnType};</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputTensorInfo{NumDims, outShape, ArmnnType};</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; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantScale);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; inputTensorInfo.SetQuantizationOffset(quantOffset);</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; outputTensorInfo.SetQuantizationScale(outQuantScale);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; outputTensorInfo.SetQuantizationOffset(outQuantOffset);</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; <span class="keyword">auto</span> input = MakeTensor&lt;T, NumDims&gt;(inputTensorInfo, ConvertToDataType&lt;ArmnnType&gt;(values, inputTensorInfo));</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <a class="code" href="struct_layer_test_result.html">LayerTestResult&lt;T, NumDims&gt;</a> ret(outputTensorInfo);</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_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a> desc(op);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <a class="code" href="structarmnn_1_1_elementwise_unary_queue_descriptor.html">armnn::ElementwiseUnaryQueueDescriptor</a> qDesc;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; qDesc.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.html#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = desc;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</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="l00068"></a><span class="lineno"> 68</span>&#160; AddInputToWorkload(qDesc, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; AddOutputToWorkload(qDesc, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keyword">auto</span> workload = <a class="code" href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a>(workloadFactory, info, qDesc);</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.html#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), input.origin());</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; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; ExecuteWorkload(*workload, memoryManager);</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; <a class="code" href="_tensor_copy_utils_8cpp.html#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(ret.output.origin(), outputHandle.get());</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; ret.outputExpected = MakeTensor&lt;T, NumDims&gt;(outputTensorInfo, ConvertToDataType&lt;ArmnnType&gt;(outValues,</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; inputTensorInfo));</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_elementwise_unary_queue_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_queue_descriptor.html">armnn::ElementwiseUnaryQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00564">WorkloadData.hpp:564</a></div></div>
241<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>
242<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
243<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>
244<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>
245<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>
246<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>
247<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>
248<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>
249<div class="ttc" id="structarmnn_1_1_elementwise_unary_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_elementwise_unary_descriptor.html">armnn::ElementwiseUnaryDescriptor</a></div><div class="ttdoc">A ElementwiseUnaryDescriptor for the ElementwiseUnaryLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00082">Descriptors.hpp:82</a></div></div>
250<div class="ttc" id="classarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00259">Tensor.cpp:259</a></div></div>
251<div class="ttc" id="_elementwise_unary_test_impl_8hpp_html_aa50938ed8f91e09acd4af904dcf5543a"><div class="ttname"><a href="_elementwise_unary_test_impl_8hpp.html#aa50938ed8f91e09acd4af904dcf5543a">CreateWorkload</a></div><div class="ttdeci">std::unique_ptr&lt; armnn::IWorkload &gt; CreateWorkload(const armnn::IWorkloadFactory &amp;workloadFactory, const armnn::WorkloadInfo &amp;info, const armnn::ElementwiseUnaryQueueDescriptor &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_unary_test_impl_8cpp_source.html#l00008">ElementwiseUnaryTestImpl.cpp:8</a></div></div>
252</div><!-- fragment -->
253</div>
254</div>
255<a id="ae2c54699203437d012a0ee00ca1e29a8"></a>
256<h2 class="memtitle"><span class="permalink"><a href="#ae2c54699203437d012a0ee00ca1e29a8">&#9670;&nbsp;</a></span>ElementwiseUnaryTestHelper() <span class="overload">[2/2]</span></h2>
257
258<div class="memitem">
259<div class="memproto">
260 <table class="memname">
261 <tr>
262 <td class="memname"><a class="el" href="struct_layer_test_result.html">LayerTestResult</a>&lt;T, NumDims&gt; ElementwiseUnaryTestHelper </td>
263 <td>(</td>
264 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.html">armnn::IWorkloadFactory</a> &amp;&#160;</td>
265 <td class="paramname"><em>workloadFactory</em>, </td>
266 </tr>
267 <tr>
268 <td class="paramkey"></td>
269 <td></td>
270 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.html#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
271 <td class="paramname"><em>memoryManager</em>, </td>
272 </tr>
273 <tr>
274 <td class="paramkey"></td>
275 <td></td>
276 <td class="paramtype"><a class="el" href="namespacearmnn.html#a1cfaa710db2a54673b21d2ea2da757c8">armnn::UnaryOperation</a>&#160;</td>
277 <td class="paramname"><em>op</em>, </td>
278 </tr>
279 <tr>
280 <td class="paramkey"></td>
281 <td></td>
282 <td class="paramtype">const unsigned int&#160;</td>
283 <td class="paramname"><em>shape</em>[NumDims], </td>
284 </tr>
285 <tr>
286 <td class="paramkey"></td>
287 <td></td>
288 <td class="paramtype">std::vector&lt; float &gt;&#160;</td>
289 <td class="paramname"><em>values</em>, </td>
290 </tr>
291 <tr>
292 <td class="paramkey"></td>
293 <td></td>
294 <td class="paramtype">const unsigned int&#160;</td>
295 <td class="paramname"><em>outShape</em>[NumDims], </td>
296 </tr>
297 <tr>
298 <td class="paramkey"></td>
299 <td></td>
300 <td class="paramtype">std::vector&lt; float &gt;&#160;</td>
301 <td class="paramname"><em>outValues</em>, </td>
302 </tr>
303 <tr>
304 <td class="paramkey"></td>
305 <td></td>
306 <td class="paramtype">float&#160;</td>
307 <td class="paramname"><em>quantScale</em> = <code>1.0f</code>, </td>
308 </tr>
309 <tr>
310 <td class="paramkey"></td>
311 <td></td>
312 <td class="paramtype">int&#160;</td>
313 <td class="paramname"><em>quantOffset</em> = <code>0</code>&#160;</td>
314 </tr>
315 <tr>
316 <td></td>
317 <td>)</td>
318 <td></td><td></td>
319 </tr>
320 </table>
321</div><div class="memdoc">
322
323<p class="definition">Definition at line <a class="el" href="_elementwise_unary_test_impl_8hpp_source.html#l00090">90</a> of file <a class="el" href="_elementwise_unary_test_impl_8hpp_source.html">ElementwiseUnaryTestImpl.hpp</a>.</p>
324<div class="fragment"><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160;{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">return</span> ElementwiseUnaryTestHelper&lt;NumDims, ArmnnType&gt;(</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; workloadFactory,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; memoryManager,</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; op,</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; shape,</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; values,</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; quantScale,</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; quantOffset,</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; outShape,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; outValues,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; quantScale,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; quantOffset);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;}</div></div><!-- fragment -->
325</div>
326</div>
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