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100<div class="title">ElementwiseTestImpl.hpp File Reference</div> </div>
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103<div class="textblock"><code>#include &lt;<a class="el" href="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml">armnnTestUtils/LayerTestResult.hpp</a>&gt;</code><br />
104<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_workload_8hpp_source.xhtml">armnn/backends/Workload.hpp</a>&gt;</code><br />
107<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_workload_data_8hpp_source.xhtml">armnn/backends/WorkloadData.hpp</a>&gt;</code><br />
108<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_workload_factory_8hpp_source.xhtml">armnn/backends/WorkloadFactory.hpp</a>&gt;</code><br />
109<code>#include &lt;DataTypeUtils.hpp&gt;</code><br />
110<code>#include &lt;<a class="el" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_source.xhtml">armnnTestUtils/TensorCopyUtils.hpp</a>&gt;</code><br />
111<code>#include &lt;<a class="el" href="include_2armnn_test_utils_2_workload_test_utils_8hpp_source.xhtml">armnnTestUtils/WorkloadTestUtils.hpp</a>&gt;</code><br />
112<code>#include &lt;<a class="el" href="include_2armnn_test_utils_2_tensor_helpers_8hpp_source.xhtml">armnnTestUtils/TensorHelpers.hpp</a>&gt;</code><br />
113<code>#include &lt;memory&gt;</code><br />
114</div>
115<p><a href="_elementwise_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p>
116<table class="memberdecls">
117<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
118Functions</h2></td></tr>
119<tr class="memitem:ab6921db5d86507f5b126af1cc516adb9"><td class="memTemplParams" colspan="2">template&lt;typename DescriptorType &gt; </td></tr>
120<tr class="memitem:ab6921db5d86507f5b126af1cc516adb9"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr&lt; <a class="el" href="classarmnn_1_1_i_workload.xhtml">armnn::IWorkload</a> &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a> (const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> &amp;info, const DescriptorType &amp;descriptor)</td></tr>
121<tr class="separator:ab6921db5d86507f5b126af1cc516adb9"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:ab8471a27ed381e0bbd7e88b5bbcbc80f"><td class="memTemplParams" colspan="2">template&lt;std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnTypeInput, armnn::DataType ArmnnTypeOutput, typename TInput = armnn::ResolveType&lt;ArmnnTypeInput&gt;, typename TOutput = armnn::ResolveType&lt;ArmnnTypeOutput&gt;&gt; </td></tr>
123<tr class="memitem:ab8471a27ed381e0bbd7e88b5bbcbc80f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; TOutput, NumDims &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#ab8471a27ed381e0bbd7e88b5bbcbc80f">ElementwiseTestHelper</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const unsigned int shape0[NumDims], std::vector&lt; TInput &gt; values0, float quantScale0, int quantOffset0, const unsigned int shape1[NumDims], std::vector&lt; TInput &gt; values1, float quantScale1, int quantOffset1, const unsigned int outShape[NumDims], std::vector&lt; TOutput &gt; outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory, float outQuantScale, int outQuantOffset)</td></tr>
124<tr class="separator:ab8471a27ed381e0bbd7e88b5bbcbc80f"><td class="memSeparator" colspan="2">&#160;</td></tr>
125<tr class="memitem:a210d3cf8e719075f40446990509ee897"><td class="memTemplParams" colspan="2">template&lt;std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
126<tr class="memitem:a210d3cf8e719075f40446990509ee897"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, NumDims &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#a210d3cf8e719075f40446990509ee897">ElementwiseTestHelper</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const unsigned int shape0[NumDims], std::vector&lt; T &gt; values0, float quantScale0, int quantOffset0, const unsigned int shape1[NumDims], std::vector&lt; T &gt; values1, float quantScale1, int quantOffset1, const unsigned int outShape[NumDims], std::vector&lt; T &gt; outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory, float outQuantScale, int outQuantOffset)</td></tr>
127<tr class="separator:a210d3cf8e719075f40446990509ee897"><td class="memSeparator" colspan="2">&#160;</td></tr>
128<tr class="memitem:a30ab10ed3fa6f6727aa1b739d4db188f"><td class="memTemplParams" colspan="2">template&lt;std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnTypeInput, armnn::DataType ArmnnTypeOutput, typename TInput = armnn::ResolveType&lt;ArmnnTypeInput&gt;, typename TOutput = armnn::ResolveType&lt;ArmnnTypeOutput&gt;&gt; </td></tr>
129<tr class="memitem:a30ab10ed3fa6f6727aa1b739d4db188f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; TOutput, NumDims &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#a30ab10ed3fa6f6727aa1b739d4db188f">ElementwiseTestHelper</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const unsigned int shape0[NumDims], std::vector&lt; TInput &gt; values0, const unsigned int shape1[NumDims], std::vector&lt; TInput &gt; values1, const unsigned int outShape[NumDims], std::vector&lt; TOutput &gt; outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory, float quantScale=1.0f, int quantOffset=0)</td></tr>
130<tr class="separator:a30ab10ed3fa6f6727aa1b739d4db188f"><td class="memSeparator" colspan="2">&#160;</td></tr>
131<tr class="memitem:a9d5c8b4217cf310c9f9c8e64036ef0c1"><td class="memTemplParams" colspan="2">template&lt;std::size_t NumDims, typename Descriptor , armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
132<tr class="memitem:a9d5c8b4217cf310c9f9c8e64036ef0c1"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, NumDims &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_elementwise_test_impl_8hpp.xhtml#a9d5c8b4217cf310c9f9c8e64036ef0c1">ElementwiseTestHelper</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const unsigned int shape0[NumDims], std::vector&lt; T &gt; values0, const unsigned int shape1[NumDims], std::vector&lt; T &gt; values1, const unsigned int outShape[NumDims], std::vector&lt; T &gt; outValues, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory, float quantScale=1.0f, int quantOffset=0)</td></tr>
133<tr class="separator:a9d5c8b4217cf310c9f9c8e64036ef0c1"><td class="memSeparator" colspan="2">&#160;</td></tr>
134</table>
135<h2 class="groupheader">Function Documentation</h2>
136<a id="ab6921db5d86507f5b126af1cc516adb9"></a>
137<h2 class="memtitle"><span class="permalink"><a href="#ab6921db5d86507f5b126af1cc516adb9">&#9670;&nbsp;</a></span>CreateWorkload()</h2>
138
139<div class="memitem">
140<div class="memproto">
141 <table class="memname">
142 <tr>
143 <td class="memname">std::unique_ptr&lt;<a class="el" href="classarmnn_1_1_i_workload.xhtml">armnn::IWorkload</a>&gt; CreateWorkload </td>
144 <td>(</td>
145 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
146 <td class="paramname"><em>workloadFactory</em>, </td>
147 </tr>
148 <tr>
149 <td class="paramkey"></td>
150 <td></td>
151 <td class="paramtype">const <a class="el" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> &amp;&#160;</td>
152 <td class="paramname"><em>info</em>, </td>
153 </tr>
154 <tr>
155 <td class="paramkey"></td>
156 <td></td>
157 <td class="paramtype">const DescriptorType &amp;&#160;</td>
158 <td class="paramname"><em>descriptor</em>&#160;</td>
159 </tr>
160 <tr>
161 <td></td>
162 <td>)</td>
163 <td></td><td></td>
164 </tr>
165 </table>
166</div><div class="memdoc">
167
168<p class="definition">Definition at line <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00027">27</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p>
169
170<p class="reference">Referenced by <a class="el" href="_layer_8hpp_source.xhtml#l00278">Layer::SetBackendId()</a>, and <a class="el" href="_workload_data_validation_8cpp_source.xhtml#l00020">TEST_SUITE()</a>.</p>
171<div class="fragment"><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="keywordflow">return</span> <a class="code" href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">CreateWorkload</a>(workloadFactory, info, descriptor);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;}</div><div class="ttc" id="_elementwise_test_impl_8hpp_xhtml_ab6921db5d86507f5b126af1cc516adb9"><div class="ttname"><a href="_elementwise_test_impl_8hpp.xhtml#ab6921db5d86507f5b126af1cc516adb9">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 DescriptorType &amp;descriptor)</div><div class="ttdef"><b>Definition:</b> <a href="_elementwise_test_impl_8hpp_source.xhtml#l00027">ElementwiseTestImpl.hpp:27</a></div></div>
172</div><!-- fragment -->
173</div>
174</div>
175<a id="ab8471a27ed381e0bbd7e88b5bbcbc80f"></a>
176<h2 class="memtitle"><span class="permalink"><a href="#ab8471a27ed381e0bbd7e88b5bbcbc80f">&#9670;&nbsp;</a></span>ElementwiseTestHelper() <span class="overload">[1/4]</span></h2>
177
178<div class="memitem">
179<div class="memproto">
180 <table class="memname">
181 <tr>
182 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;TOutput, NumDims&gt; ElementwiseTestHelper </td>
183 <td>(</td>
184 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
185 <td class="paramname"><em>workloadFactory</em>, </td>
186 </tr>
187 <tr>
188 <td class="paramkey"></td>
189 <td></td>
190 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
191 <td class="paramname"><em>memoryManager</em>, </td>
192 </tr>
193 <tr>
194 <td class="paramkey"></td>
195 <td></td>
196 <td class="paramtype">const unsigned int&#160;</td>
197 <td class="paramname"><em>shape0</em>[NumDims], </td>
198 </tr>
199 <tr>
200 <td class="paramkey"></td>
201 <td></td>
202 <td class="paramtype">std::vector&lt; TInput &gt;&#160;</td>
203 <td class="paramname"><em>values0</em>, </td>
204 </tr>
205 <tr>
206 <td class="paramkey"></td>
207 <td></td>
208 <td class="paramtype">float&#160;</td>
209 <td class="paramname"><em>quantScale0</em>, </td>
210 </tr>
211 <tr>
212 <td class="paramkey"></td>
213 <td></td>
214 <td class="paramtype">int&#160;</td>
215 <td class="paramname"><em>quantOffset0</em>, </td>
216 </tr>
217 <tr>
218 <td class="paramkey"></td>
219 <td></td>
220 <td class="paramtype">const unsigned int&#160;</td>
221 <td class="paramname"><em>shape1</em>[NumDims], </td>
222 </tr>
223 <tr>
224 <td class="paramkey"></td>
225 <td></td>
226 <td class="paramtype">std::vector&lt; TInput &gt;&#160;</td>
227 <td class="paramname"><em>values1</em>, </td>
228 </tr>
229 <tr>
230 <td class="paramkey"></td>
231 <td></td>
232 <td class="paramtype">float&#160;</td>
233 <td class="paramname"><em>quantScale1</em>, </td>
234 </tr>
235 <tr>
236 <td class="paramkey"></td>
237 <td></td>
238 <td class="paramtype">int&#160;</td>
239 <td class="paramname"><em>quantOffset1</em>, </td>
240 </tr>
241 <tr>
242 <td class="paramkey"></td>
243 <td></td>
244 <td class="paramtype">const unsigned int&#160;</td>
245 <td class="paramname"><em>outShape</em>[NumDims], </td>
246 </tr>
247 <tr>
248 <td class="paramkey"></td>
249 <td></td>
250 <td class="paramtype">std::vector&lt; TOutput &gt;&#160;</td>
251 <td class="paramname"><em>outValues</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_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
257 <td class="paramname"><em>tensorHandleFactory</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>outQuantScale</em>, </td>
264 </tr>
265 <tr>
266 <td class="paramkey"></td>
267 <td></td>
268 <td class="paramtype">int&#160;</td>
269 <td class="paramname"><em>outQuantOffset</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="_elementwise_test_impl_8hpp_source.xhtml#l00040">40</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p>
280
281<p class="reference">References <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">ITensorHandleFactory::CreateTensorHandle()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00473">TensorInfo::SetQuantizationScale()</a>.</p>
282<div class="fragment"><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; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo0{NumDims, shape0, ArmnnTypeInput};</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo1{NumDims, shape1, ArmnnTypeInput};</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo{NumDims, outShape, ArmnnTypeOutput};</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; inputTensorInfo0.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(quantScale0);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; inputTensorInfo0.SetQuantizationOffset(quantOffset0);</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; inputTensorInfo1.SetQuantizationScale(quantScale1);</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; inputTensorInfo1.SetQuantizationOffset(quantOffset1);</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; outputTensorInfo.SetQuantizationScale(outQuantScale);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; outputTensorInfo.SetQuantizationOffset(outQuantOffset);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; std::vector&lt;TOutput&gt; actualOutput(outputTensorInfo.GetNumElements());</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keywordtype">bool</span> isBoolean = <span class="keyword">false</span>;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <span class="keywordflow">if</span> (ArmnnTypeOutput == <a class="code" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</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; isBoolean = <span class="keyword">true</span>;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; }</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle0 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo0);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle1 = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(inputTensorInfo1);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = tensorHandleFactory.<a class="code" href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; Descriptor data;</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <a class="code" href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a> <a class="code" href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>;</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; AddInputToWorkload(data, info, inputTensorInfo0, inputHandle0.get());</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; AddInputToWorkload(data, info, inputTensorInfo1, inputHandle1.get());</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <span class="keyword">auto</span> workload = CreateWorkload&lt;Descriptor&gt;(workloadFactory, info, data);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; inputHandle0-&gt;Allocate();</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; inputHandle1-&gt;Allocate();</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle0.get(), values0.data());</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle1.get(), values1.data());</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; workload-&gt;PostAllocationConfigure();</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; ExecuteWorkload(*workload, memoryManager);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <a class="code" href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a>(actualOutput.data(), outputHandle.get());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordflow">return</span> <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;TOutput, NumDims&gt;</a>(actualOutput,</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; outValues,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; outputHandle-&gt;GetShape(),</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; outputTensorInfo.GetShape(),</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; isBoolean);</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div></div>
283<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
284<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ab5dfed8358e500ed523d78090ec78e88"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ab5dfed8358e500ed523d78090ec78e88">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *mem, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
285<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00473">Tensor.cpp:473</a></div></div>
286<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
287<div class="ttc" id="include_2armnn_test_utils_2_tensor_copy_utils_8hpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="include_2armnn_test_utils_2_tensor_copy_utils_8hpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
288<div class="ttc" id="structarmnn_1_1_workload_info_xhtml"><div class="ttname"><a href="structarmnn_1_1_workload_info.xhtml">armnn::WorkloadInfo</a></div><div class="ttdoc">Contains information about TensorInfos of a layer. </div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_2backends_2_workload_info_8hpp_source.xhtml#l00016">WorkloadInfo.hpp:16</a></div></div>
289<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="include_2armnn_test_utils_2_layer_test_result_8hpp_source.xhtml#l00015">LayerTestResult.hpp:15</a></div></div>
290<div class="ttc" id="classarmnn_1_1_i_tensor_handle_factory_xhtml_a375f11dd42ff042435e8771cf287b20c"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle_factory.xhtml#a375f11dd42ff042435e8771cf287b20c">armnn::ITensorHandleFactory::CreateTensorHandle</a></div><div class="ttdeci">virtual std::unique_ptr&lt; ITensorHandle &gt; CreateTensorHandle(const TensorInfo &amp;tensorInfo) const =0</div></div>
291</div><!-- fragment -->
292</div>
293</div>
294<a id="a210d3cf8e719075f40446990509ee897"></a>
295<h2 class="memtitle"><span class="permalink"><a href="#a210d3cf8e719075f40446990509ee897">&#9670;&nbsp;</a></span>ElementwiseTestHelper() <span class="overload">[2/4]</span></h2>
296
297<div class="memitem">
298<div class="memproto">
299 <table class="memname">
300 <tr>
301 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, NumDims&gt; ElementwiseTestHelper </td>
302 <td>(</td>
303 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
304 <td class="paramname"><em>workloadFactory</em>, </td>
305 </tr>
306 <tr>
307 <td class="paramkey"></td>
308 <td></td>
309 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
310 <td class="paramname"><em>memoryManager</em>, </td>
311 </tr>
312 <tr>
313 <td class="paramkey"></td>
314 <td></td>
315 <td class="paramtype">const unsigned int&#160;</td>
316 <td class="paramname"><em>shape0</em>[NumDims], </td>
317 </tr>
318 <tr>
319 <td class="paramkey"></td>
320 <td></td>
321 <td class="paramtype">std::vector&lt; T &gt;&#160;</td>
322 <td class="paramname"><em>values0</em>, </td>
323 </tr>
324 <tr>
325 <td class="paramkey"></td>
326 <td></td>
327 <td class="paramtype">float&#160;</td>
328 <td class="paramname"><em>quantScale0</em>, </td>
329 </tr>
330 <tr>
331 <td class="paramkey"></td>
332 <td></td>
333 <td class="paramtype">int&#160;</td>
334 <td class="paramname"><em>quantOffset0</em>, </td>
335 </tr>
336 <tr>
337 <td class="paramkey"></td>
338 <td></td>
339 <td class="paramtype">const unsigned int&#160;</td>
340 <td class="paramname"><em>shape1</em>[NumDims], </td>
341 </tr>
342 <tr>
343 <td class="paramkey"></td>
344 <td></td>
345 <td class="paramtype">std::vector&lt; T &gt;&#160;</td>
346 <td class="paramname"><em>values1</em>, </td>
347 </tr>
348 <tr>
349 <td class="paramkey"></td>
350 <td></td>
351 <td class="paramtype">float&#160;</td>
352 <td class="paramname"><em>quantScale1</em>, </td>
353 </tr>
354 <tr>
355 <td class="paramkey"></td>
356 <td></td>
357 <td class="paramtype">int&#160;</td>
358 <td class="paramname"><em>quantOffset1</em>, </td>
359 </tr>
360 <tr>
361 <td class="paramkey"></td>
362 <td></td>
363 <td class="paramtype">const unsigned int&#160;</td>
364 <td class="paramname"><em>outShape</em>[NumDims], </td>
365 </tr>
366 <tr>
367 <td class="paramkey"></td>
368 <td></td>
369 <td class="paramtype">std::vector&lt; T &gt;&#160;</td>
370 <td class="paramname"><em>outValues</em>, </td>
371 </tr>
372 <tr>
373 <td class="paramkey"></td>
374 <td></td>
375 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
376 <td class="paramname"><em>tensorHandleFactory</em>, </td>
377 </tr>
378 <tr>
379 <td class="paramkey"></td>
380 <td></td>
381 <td class="paramtype">float&#160;</td>
382 <td class="paramname"><em>outQuantScale</em>, </td>
383 </tr>
384 <tr>
385 <td class="paramkey"></td>
386 <td></td>
387 <td class="paramtype">int&#160;</td>
388 <td class="paramname"><em>outQuantOffset</em>&#160;</td>
389 </tr>
390 <tr>
391 <td></td>
392 <td>)</td>
393 <td></td><td></td>
394 </tr>
395 </table>
396</div><div class="memdoc">
397
398<p class="definition">Definition at line <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00111">111</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p>
399<div class="fragment"><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; {</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;NumDims, Descriptor, ArmnnType, ArmnnType&gt;(</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; workloadFactory,</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; memoryManager,</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; shape0,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; values0,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; quantScale0,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; quantOffset0,</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; shape1,</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; values1,</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; quantScale1,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; quantOffset1,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; outShape,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; outValues,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; outQuantScale,</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; outQuantOffset);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160;}</div></div><!-- fragment -->
400</div>
401</div>
402<a id="a30ab10ed3fa6f6727aa1b739d4db188f"></a>
403<h2 class="memtitle"><span class="permalink"><a href="#a30ab10ed3fa6f6727aa1b739d4db188f">&#9670;&nbsp;</a></span>ElementwiseTestHelper() <span class="overload">[3/4]</span></h2>
404
405<div class="memitem">
406<div class="memproto">
407 <table class="memname">
408 <tr>
409 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;TOutput, NumDims&gt; ElementwiseTestHelper </td>
410 <td>(</td>
411 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
412 <td class="paramname"><em>workloadFactory</em>, </td>
413 </tr>
414 <tr>
415 <td class="paramkey"></td>
416 <td></td>
417 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
418 <td class="paramname"><em>memoryManager</em>, </td>
419 </tr>
420 <tr>
421 <td class="paramkey"></td>
422 <td></td>
423 <td class="paramtype">const unsigned int&#160;</td>
424 <td class="paramname"><em>shape0</em>[NumDims], </td>
425 </tr>
426 <tr>
427 <td class="paramkey"></td>
428 <td></td>
429 <td class="paramtype">std::vector&lt; TInput &gt;&#160;</td>
430 <td class="paramname"><em>values0</em>, </td>
431 </tr>
432 <tr>
433 <td class="paramkey"></td>
434 <td></td>
435 <td class="paramtype">const unsigned int&#160;</td>
436 <td class="paramname"><em>shape1</em>[NumDims], </td>
437 </tr>
438 <tr>
439 <td class="paramkey"></td>
440 <td></td>
441 <td class="paramtype">std::vector&lt; TInput &gt;&#160;</td>
442 <td class="paramname"><em>values1</em>, </td>
443 </tr>
444 <tr>
445 <td class="paramkey"></td>
446 <td></td>
447 <td class="paramtype">const unsigned int&#160;</td>
448 <td class="paramname"><em>outShape</em>[NumDims], </td>
449 </tr>
450 <tr>
451 <td class="paramkey"></td>
452 <td></td>
453 <td class="paramtype">std::vector&lt; TOutput &gt;&#160;</td>
454 <td class="paramname"><em>outValues</em>, </td>
455 </tr>
456 <tr>
457 <td class="paramkey"></td>
458 <td></td>
459 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
460 <td class="paramname"><em>tensorHandleFactory</em>, </td>
461 </tr>
462 <tr>
463 <td class="paramkey"></td>
464 <td></td>
465 <td class="paramtype">float&#160;</td>
466 <td class="paramname"><em>quantScale</em> = <code>1.0f</code>, </td>
467 </tr>
468 <tr>
469 <td class="paramkey"></td>
470 <td></td>
471 <td class="paramtype">int&#160;</td>
472 <td class="paramname"><em>quantOffset</em> = <code>0</code>&#160;</td>
473 </tr>
474 <tr>
475 <td></td>
476 <td>)</td>
477 <td></td><td></td>
478 </tr>
479 </table>
480</div><div class="memdoc">
481
482<p class="definition">Definition at line <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00151">151</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p>
483<div class="fragment"><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; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;NumDims, Descriptor, ArmnnTypeInput, ArmnnTypeOutput&gt;(</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; workloadFactory,</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; memoryManager,</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160; shape0,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; values0,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; quantScale,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; quantOffset,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; shape1,</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; values1,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; quantScale,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; quantOffset,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; outShape,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; outValues,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; quantScale,</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; quantOffset);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160;}</div></div><!-- fragment -->
484</div>
485</div>
486<a id="a9d5c8b4217cf310c9f9c8e64036ef0c1"></a>
487<h2 class="memtitle"><span class="permalink"><a href="#a9d5c8b4217cf310c9f9c8e64036ef0c1">&#9670;&nbsp;</a></span>ElementwiseTestHelper() <span class="overload">[4/4]</span></h2>
488
489<div class="memitem">
490<div class="memproto">
491 <table class="memname">
492 <tr>
493 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, NumDims&gt; ElementwiseTestHelper </td>
494 <td>(</td>
495 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
496 <td class="paramname"><em>workloadFactory</em>, </td>
497 </tr>
498 <tr>
499 <td class="paramkey"></td>
500 <td></td>
501 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
502 <td class="paramname"><em>memoryManager</em>, </td>
503 </tr>
504 <tr>
505 <td class="paramkey"></td>
506 <td></td>
507 <td class="paramtype">const unsigned int&#160;</td>
508 <td class="paramname"><em>shape0</em>[NumDims], </td>
509 </tr>
510 <tr>
511 <td class="paramkey"></td>
512 <td></td>
513 <td class="paramtype">std::vector&lt; T &gt;&#160;</td>
514 <td class="paramname"><em>values0</em>, </td>
515 </tr>
516 <tr>
517 <td class="paramkey"></td>
518 <td></td>
519 <td class="paramtype">const unsigned int&#160;</td>
520 <td class="paramname"><em>shape1</em>[NumDims], </td>
521 </tr>
522 <tr>
523 <td class="paramkey"></td>
524 <td></td>
525 <td class="paramtype">std::vector&lt; T &gt;&#160;</td>
526 <td class="paramname"><em>values1</em>, </td>
527 </tr>
528 <tr>
529 <td class="paramkey"></td>
530 <td></td>
531 <td class="paramtype">const unsigned int&#160;</td>
532 <td class="paramname"><em>outShape</em>[NumDims], </td>
533 </tr>
534 <tr>
535 <td class="paramkey"></td>
536 <td></td>
537 <td class="paramtype">std::vector&lt; T &gt;&#160;</td>
538 <td class="paramname"><em>outValues</em>, </td>
539 </tr>
540 <tr>
541 <td class="paramkey"></td>
542 <td></td>
543 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;&#160;</td>
544 <td class="paramname"><em>tensorHandleFactory</em>, </td>
545 </tr>
546 <tr>
547 <td class="paramkey"></td>
548 <td></td>
549 <td class="paramtype">float&#160;</td>
550 <td class="paramname"><em>quantScale</em> = <code>1.0f</code>, </td>
551 </tr>
552 <tr>
553 <td class="paramkey"></td>
554 <td></td>
555 <td class="paramtype">int&#160;</td>
556 <td class="paramname"><em>quantOffset</em> = <code>0</code>&#160;</td>
557 </tr>
558 <tr>
559 <td></td>
560 <td>)</td>
561 <td></td><td></td>
562 </tr>
563 </table>
564</div><div class="memdoc">
565
566<p class="definition">Definition at line <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml#l00185">185</a> of file <a class="el" href="_elementwise_test_impl_8hpp_source.xhtml">ElementwiseTestImpl.hpp</a>.</p>
567<div class="fragment"><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; <span class="keywordflow">return</span> ElementwiseTestHelper&lt;NumDims, Descriptor, ArmnnType, ArmnnType&gt;(</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; workloadFactory,</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; memoryManager,</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160; shape0,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; values0,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; shape1,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; values1,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160; outShape,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>&#160; outValues,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>&#160; tensorHandleFactory,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>&#160; quantScale,</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>&#160; quantOffset);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>&#160;}</div></div><!-- fragment -->
568</div>
569</div>
570</div><!-- contents -->
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574 <ul>
575 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.xhtml">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.xhtml">backends</a></li><li class="navelem"><a class="el" href="dir_797a213d7d01b98ef12d53b0820ea64e.xhtml">backendsCommon</a></li><li class="navelem"><a class="el" href="dir_28bfe507f7e135bdae07c2a6b7f66696.xhtml">test</a></li><li class="navelem"><a class="el" href="dir_99a30439342d160875b21dac3498ad7f.xhtml">layerTests</a></li><li class="navelem"><a class="el" href="_elementwise_test_impl_8hpp.xhtml">ElementwiseTestImpl.hpp</a></li>
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