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100<div class="title">TransposeTestImpl.hpp File Reference</div> </div>
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102<div class="contents">
103<div class="textblock"><code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
104<code>#include &lt;<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>&gt;</code><br />
105<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</code><br />
106<code>#include &lt;<a class="el" href="_workload_test_utils_8hpp_source.xhtml">backendsCommon/test/WorkloadTestUtils.hpp</a>&gt;</code><br />
107<code>#include &lt;<a class="el" href="_tensor_helpers_8hpp_source.xhtml">test/TensorHelpers.hpp</a>&gt;</code><br />
108</div>
109<p><a href="_transpose_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p>
110<table class="memberdecls">
111<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
112Functions</h2></td></tr>
113<tr class="memitem:a21dbaaf0ccf8eea33ab53f32dbb210c5"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
114<tr class="memitem:a21dbaaf0ccf8eea33ab53f32dbb210c5"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_transpose_test_impl_8hpp.xhtml#a21dbaaf0ccf8eea33ab53f32dbb210c5">SimpleTransposeTestImpl</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, <a class="el" href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a> descriptor, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo, const std::vector&lt; T &gt; &amp;inputData, const std::vector&lt; T &gt; &amp;outputExpectedData)</td></tr>
115<tr class="separator:a21dbaaf0ccf8eea33ab53f32dbb210c5"><td class="memSeparator" colspan="2">&#160;</td></tr>
116<tr class="memitem:a6eaaa77532584d5c04fbaec94e630ded"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
117<tr class="memitem:a6eaaa77532584d5c04fbaec94e630ded"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_transpose_test_impl_8hpp.xhtml#a6eaaa77532584d5c04fbaec94e630ded">SimpleTransposeTest</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)</td></tr>
118<tr class="separator:a6eaaa77532584d5c04fbaec94e630ded"><td class="memSeparator" colspan="2">&#160;</td></tr>
119<tr class="memitem:a8f4e38a297e8b835fc0ff29463eaf654"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
120<tr class="memitem:a8f4e38a297e8b835fc0ff29463eaf654"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_transpose_test_impl_8hpp.xhtml#a8f4e38a297e8b835fc0ff29463eaf654">TransposeValueSet1Test</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)</td></tr>
121<tr class="separator:a8f4e38a297e8b835fc0ff29463eaf654"><td class="memSeparator" colspan="2">&#160;</td></tr>
122<tr class="memitem:a8545635c84fc6de487df01e0dbb8a1d6"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
123<tr class="memitem:a8545635c84fc6de487df01e0dbb8a1d6"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_transpose_test_impl_8hpp.xhtml#a8545635c84fc6de487df01e0dbb8a1d6">TransposeValueSet2Test</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)</td></tr>
124<tr class="separator:a8545635c84fc6de487df01e0dbb8a1d6"><td class="memSeparator" colspan="2">&#160;</td></tr>
125<tr class="memitem:a0545d125bac84b2e1a6b952bc4f3e20d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
126<tr class="memitem:a0545d125bac84b2e1a6b952bc4f3e20d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt; T, 4 &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_transpose_test_impl_8hpp.xhtml#a0545d125bac84b2e1a6b952bc4f3e20d">TransposeValueSet3Test</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)</td></tr>
127<tr class="separator:a0545d125bac84b2e1a6b952bc4f3e20d"><td class="memSeparator" colspan="2">&#160;</td></tr>
128</table>
129<h2 class="groupheader">Function Documentation</h2>
130<a id="a6eaaa77532584d5c04fbaec94e630ded"></a>
131<h2 class="memtitle"><span class="permalink"><a href="#a6eaaa77532584d5c04fbaec94e630ded">&#9670;&nbsp;</a></span>SimpleTransposeTest()</h2>
132
133<div class="memitem">
134<div class="memproto">
135 <table class="memname">
136 <tr>
137 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimpleTransposeTest </td>
138 <td>(</td>
139 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
140 <td class="paramname"><em>workloadFactory</em>, </td>
141 </tr>
142 <tr>
143 <td class="paramkey"></td>
144 <td></td>
145 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
146 <td class="paramname"><em>memoryManager</em>&#160;</td>
147 </tr>
148 <tr>
149 <td></td>
150 <td>)</td>
151 <td></td><td></td>
152 </tr>
153 </table>
154</div><div class="memdoc">
155
156<p class="definition">Definition at line <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00058">58</a> of file <a class="el" href="_transpose_test_impl_8hpp_source.xhtml">TransposeTestImpl.hpp</a>.</p>
157
158<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01140">TransposeDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
159<div class="fragment"><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;{</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 2, 2, 2 };</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a> descriptor;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 2U, 3U, 1U};</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; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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; <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; int32_t qOffset = 5;</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</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; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</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;</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</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; 1, 2,</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; 3, 4,</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; 5, 6,</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; 7, 8</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; qScale, qOffset);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; 1, 5, 2, 6,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; 3, 7, 4, 8</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; },</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; qScale, qOffset);</div><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> SimpleTransposeTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; descriptor, inputTensorInfo,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
160<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#l00259">Tensor.cpp:259</a></div></div>
161<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div>
162<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
163<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01140">Descriptors.hpp:1140</a></div></div>
164</div><!-- fragment -->
165</div>
166</div>
167<a id="a21dbaaf0ccf8eea33ab53f32dbb210c5"></a>
168<h2 class="memtitle"><span class="permalink"><a href="#a21dbaaf0ccf8eea33ab53f32dbb210c5">&#9670;&nbsp;</a></span>SimpleTransposeTestImpl()</h2>
169
170<div class="memitem">
171<div class="memproto">
172 <table class="memname">
173 <tr>
174 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; SimpleTransposeTestImpl </td>
175 <td>(</td>
176 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
177 <td class="paramname"><em>workloadFactory</em>, </td>
178 </tr>
179 <tr>
180 <td class="paramkey"></td>
181 <td></td>
182 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
183 <td class="paramname"><em>memoryManager</em>, </td>
184 </tr>
185 <tr>
186 <td class="paramkey"></td>
187 <td></td>
188 <td class="paramtype"><a class="el" href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a>&#160;</td>
189 <td class="paramname"><em>descriptor</em>, </td>
190 </tr>
191 <tr>
192 <td class="paramkey"></td>
193 <td></td>
194 <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&#160;</td>
195 <td class="paramname"><em>inputTensorInfo</em>, </td>
196 </tr>
197 <tr>
198 <td class="paramkey"></td>
199 <td></td>
200 <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&#160;</td>
201 <td class="paramname"><em>outputTensorInfo</em>, </td>
202 </tr>
203 <tr>
204 <td class="paramkey"></td>
205 <td></td>
206 <td class="paramtype">const std::vector&lt; T &gt; &amp;&#160;</td>
207 <td class="paramname"><em>inputData</em>, </td>
208 </tr>
209 <tr>
210 <td class="paramkey"></td>
211 <td></td>
212 <td class="paramtype">const std::vector&lt; T &gt; &amp;&#160;</td>
213 <td class="paramname"><em>outputExpectedData</em>&#160;</td>
214 </tr>
215 <tr>
216 <td></td>
217 <td>)</td>
218 <td></td><td></td>
219 </tr>
220 </table>
221</div><div class="memdoc">
222
223<p class="definition">Definition at line <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00019">19</a> of file <a class="el" href="_transpose_test_impl_8hpp_source.xhtml">TransposeTestImpl.hpp</a>.</p>
224
225<p class="reference">References <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00014">CopyDataFromITensorHandle()</a>, <a class="el" href="_tensor_copy_utils_8cpp_source.xhtml#l00009">CopyDataToITensorHandle()</a>, <a class="el" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">IWorkloadFactory::CreateTensorHandle()</a>, <a class="el" href="_workload_factory_8cpp_source.xhtml#l01448">IWorkloadFactory::CreateTranspose()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, and <a class="el" href="_workload_data_8hpp_source.xhtml#l00049">QueueDescriptorWithParameters&lt; LayerDescriptor &gt;::m_Parameters</a>.</p>
226<div class="fragment"><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;{</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">IgnoreUnused</a>(memoryManager);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keyword">auto</span> input = MakeTensor&lt;T, 4&gt;(inputTensorInfo, inputData);</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; <a class="code" href="struct_layer_test_result.xhtml">LayerTestResult&lt;T, 4&gt;</a> ret(outputTensorInfo);</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; ret.outputExpected = MakeTensor&lt;T, 4&gt;(outputTensorInfo, outputExpectedData);</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::unique_ptr&lt;armnn::ITensorHandle&gt; inputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(inputTensorInfo);</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; std::unique_ptr&lt;armnn::ITensorHandle&gt; outputHandle = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a15c140be4ddceffee16436f009d3ed94">CreateTensorHandle</a>(outputTensorInfo);</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="structarmnn_1_1_transpose_queue_descriptor.xhtml">armnn::TransposeQueueDescriptor</a> data;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; data.<a class="code" href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">m_Parameters</a> = descriptor;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</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="l00040"></a><span class="lineno"> 40</span>&#160; AddInputToWorkload(data, info, inputTensorInfo, inputHandle.get());</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; AddOutputToWorkload(data, info, outputTensorInfo, outputHandle.get());</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; std::unique_ptr&lt;armnn::IWorkload&gt; workload = workloadFactory.<a class="code" href="classarmnn_1_1_i_workload_factory.xhtml#a96217a8bbb66811608ce729fd49a3dd2">CreateTranspose</a>(data, info);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; inputHandle-&gt;Allocate();</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; outputHandle-&gt;Allocate();</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a>(inputHandle.get(), &amp;input[0][0][0][0]);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; workload-&gt;Execute();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <a class="code" href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a>(&amp;ret.output[0][0][0][0], outputHandle.get());</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; <span class="keywordflow">return</span> ret;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
227<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a96217a8bbb66811608ce729fd49a3dd2"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#a96217a8bbb66811608ce729fd49a3dd2">armnn::IWorkloadFactory::CreateTranspose</a></div><div class="ttdeci">virtual std::unique_ptr&lt; IWorkload &gt; CreateTranspose(const TransposeQueueDescriptor &amp;descriptor, const WorkloadInfo &amp;info) const</div><div class="ttdef"><b>Definition:</b> <a href="_workload_factory_8cpp_source.xhtml#l01448">WorkloadFactory.cpp:1448</a></div></div>
228<div class="ttc" id="structarmnn_1_1_queue_descriptor_with_parameters_xhtml_aad91b9bbf7aa365d304febe79a3d1333"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor_with_parameters.xhtml#aad91b9bbf7aa365d304febe79a3d1333">armnn::QueueDescriptorWithParameters::m_Parameters</a></div><div class="ttdeci">LayerDescriptor m_Parameters</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00049">WorkloadData.hpp:49</a></div></div>
229<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_a99b626c58a926dc7d6df78d22ec186c8"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#a99b626c58a926dc7d6df78d22ec186c8">CopyDataFromITensorHandle</a></div><div class="ttdeci">void CopyDataFromITensorHandle(void *memory, const armnn::ITensorHandle *tensorHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00014">TensorCopyUtils.cpp:14</a></div></div>
230<div class="ttc" id="classarmnn_1_1_i_workload_factory_xhtml_a15c140be4ddceffee16436f009d3ed94"><div class="ttname"><a href="classarmnn_1_1_i_workload_factory.xhtml#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>
231<div class="ttc" id="structarmnn_1_1_transpose_queue_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_queue_descriptor.xhtml">armnn::TransposeQueueDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.xhtml#l00507">WorkloadData.hpp:507</a></div></div>
232<div class="ttc" id="namespacearmnn_xhtml_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.xhtml#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
233<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 inputs and outputs to 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>
234<div class="ttc" id="struct_layer_test_result_xhtml"><div class="ttname"><a href="struct_layer_test_result.xhtml">LayerTestResult</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_test_result_8hpp_source.xhtml#l00029">LayerTestResult.hpp:29</a></div></div>
235<div class="ttc" id="_tensor_copy_utils_8cpp_xhtml_ae15f1a3c55d2db87683577de9fa4437c"><div class="ttname"><a href="_tensor_copy_utils_8cpp.xhtml#ae15f1a3c55d2db87683577de9fa4437c">CopyDataToITensorHandle</a></div><div class="ttdeci">void CopyDataToITensorHandle(armnn::ITensorHandle *tensorHandle, const void *memory)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_copy_utils_8cpp_source.xhtml#l00009">TensorCopyUtils.cpp:9</a></div></div>
236</div><!-- fragment -->
237</div>
238</div>
239<a id="a8f4e38a297e8b835fc0ff29463eaf654"></a>
240<h2 class="memtitle"><span class="permalink"><a href="#a8f4e38a297e8b835fc0ff29463eaf654">&#9670;&nbsp;</a></span>TransposeValueSet1Test()</h2>
241
242<div class="memitem">
243<div class="memproto">
244 <table class="memname">
245 <tr>
246 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; TransposeValueSet1Test </td>
247 <td>(</td>
248 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
249 <td class="paramname"><em>workloadFactory</em>, </td>
250 </tr>
251 <tr>
252 <td class="paramkey"></td>
253 <td></td>
254 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
255 <td class="paramname"><em>memoryManager</em>&#160;</td>
256 </tr>
257 <tr>
258 <td></td>
259 <td>)</td>
260 <td></td><td></td>
261 </tr>
262 </table>
263</div><div class="memdoc">
264
265<p class="definition">Definition at line <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00107">107</a> of file <a class="el" href="_transpose_test_impl_8hpp_source.xhtml">TransposeTestImpl.hpp</a>.</p>
266
267<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01140">TransposeDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
268<div class="fragment"><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160;{</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 3, 2, 2 };</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a> descriptor;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 3U, 1U, 2U};</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; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; int32_t qOffset = 5;</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160; {</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; {</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; 1, 2, 3,</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; 11, 12, 13,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; 21, 22, 23,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; 31, 32, 33</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; },</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</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; 1, 11, 21, 31,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; 2, 12, 22, 32,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160; 3, 13, 23, 33</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160; },</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160;</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; <span class="keywordflow">return</span> SimpleTransposeTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; descriptor, inputTensorInfo,</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
269<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#l00259">Tensor.cpp:259</a></div></div>
270<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div>
271<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
272<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01140">Descriptors.hpp:1140</a></div></div>
273</div><!-- fragment -->
274</div>
275</div>
276<a id="a8545635c84fc6de487df01e0dbb8a1d6"></a>
277<h2 class="memtitle"><span class="permalink"><a href="#a8545635c84fc6de487df01e0dbb8a1d6">&#9670;&nbsp;</a></span>TransposeValueSet2Test()</h2>
278
279<div class="memitem">
280<div class="memproto">
281 <table class="memname">
282 <tr>
283 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; TransposeValueSet2Test </td>
284 <td>(</td>
285 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
286 <td class="paramname"><em>workloadFactory</em>, </td>
287 </tr>
288 <tr>
289 <td class="paramkey"></td>
290 <td></td>
291 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
292 <td class="paramname"><em>memoryManager</em>&#160;</td>
293 </tr>
294 <tr>
295 <td></td>
296 <td>)</td>
297 <td></td><td></td>
298 </tr>
299 </table>
300</div><div class="memdoc">
301
302<p class="definition">Definition at line <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00157">157</a> of file <a class="el" href="_transpose_test_impl_8hpp_source.xhtml">TransposeTestImpl.hpp</a>.</p>
303
304<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01140">TransposeDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
305<div class="fragment"><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160;{</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 3, 2, 2 };</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 2, 2, 3 };</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160; <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a> descriptor;</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 2U, 3U, 1U};</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160;</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</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="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; int32_t qOffset = 5;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><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;</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>&#160; std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>&#160; {</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>&#160; 1, 11, 21, 31,</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>&#160; 2, 12, 22, 32,</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span>&#160; 3, 13, 23, 33</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; qScale, qOffset);</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; std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>&#160; {</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>&#160; 1, 2, 3,</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>&#160; 11, 12, 13,</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>&#160; 21, 22, 23,</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>&#160; 31, 32, 33,</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>&#160; },</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>&#160;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>&#160; <span class="keywordflow">return</span> SimpleTransposeTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>&#160; descriptor, inputTensorInfo,</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>&#160; outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
306<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#l00259">Tensor.cpp:259</a></div></div>
307<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div>
308<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
309<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01140">Descriptors.hpp:1140</a></div></div>
310</div><!-- fragment -->
311</div>
312</div>
313<a id="a0545d125bac84b2e1a6b952bc4f3e20d"></a>
314<h2 class="memtitle"><span class="permalink"><a href="#a0545d125bac84b2e1a6b952bc4f3e20d">&#9670;&nbsp;</a></span>TransposeValueSet3Test()</h2>
315
316<div class="memitem">
317<div class="memproto">
318 <table class="memname">
319 <tr>
320 <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>&lt;T, 4&gt; TransposeValueSet3Test </td>
321 <td>(</td>
322 <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</td>
323 <td class="paramname"><em>workloadFactory</em>, </td>
324 </tr>
325 <tr>
326 <td class="paramkey"></td>
327 <td></td>
328 <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;&#160;</td>
329 <td class="paramname"><em>memoryManager</em>&#160;</td>
330 </tr>
331 <tr>
332 <td></td>
333 <td>)</td>
334 <td></td><td></td>
335 </tr>
336 </table>
337</div><div class="memdoc">
338
339<p class="definition">Definition at line <a class="el" href="_transpose_test_impl_8hpp_source.xhtml#l00207">207</a> of file <a class="el" href="_transpose_test_impl_8hpp_source.xhtml">TransposeTestImpl.hpp</a>.</p>
340
341<p class="reference">References <a class="el" href="_descriptors_8hpp_source.xhtml#l01140">TransposeDescriptor::m_DimMappings</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00275">TensorInfo::SetQuantizationOffset()</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00259">TensorInfo::SetQuantizationScale()</a>.</p>
342<div class="fragment"><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>&#160;{</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> inputTensorInfo;</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outputTensorInfo;</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>&#160;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputShape[] = { 1, 2, 3, 3 };</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputShape[] = { 1, 3, 2, 3 };</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>&#160;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>&#160; <a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a> descriptor;</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>&#160; descriptor.<a class="code" href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">m_DimMappings</a> = {0U, 3U, 1U, 2U};</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>&#160;</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>&#160; inputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, inputShape, ArmnnType);</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160; outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(4, outputShape, ArmnnType);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160;</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; <span class="comment">// Set quantization parameters if the requested type is a quantized type.</span></div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; <span class="keywordtype">float</span> qScale = 0.5f;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; int32_t qOffset = 5;</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; <span class="keywordflow">if</span>(armnn::IsQuantizedType&lt;T&gt;())</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(qScale);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; outputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(qOffset);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; }</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; std::vector&lt;T&gt; input = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160; {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>&#160; 1, 2, 3,</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>&#160; 11, 12, 13,</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>&#160; 21, 22, 23,</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>&#160; 31, 32, 33,</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>&#160; 41, 42, 43,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>&#160; 51, 52, 53</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>&#160; },</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>&#160;</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>&#160; std::vector&lt;T&gt; outputExpected = armnnUtils::QuantizedVector&lt;T&gt;(</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>&#160; {</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>&#160; 1, 11, 21, 31, 41, 51,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>&#160; 2, 12, 22, 32, 42, 52,</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>&#160; 3, 13, 23, 33, 43, 53</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>&#160; },</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>&#160; qScale, qOffset);</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>&#160;</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>&#160; <span class="keywordflow">return</span> SimpleTransposeTestImpl&lt;T&gt;(workloadFactory, memoryManager,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>&#160; descriptor, inputTensorInfo,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>&#160; outputTensorInfo, input, outputExpected);</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00053">Tensor.hpp:53</a></div></div>
343<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#l00259">Tensor.cpp:259</a></div></div>
344<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml">armnn::TransposeDescriptor</a></div><div class="ttdoc">A TransposeDescriptor for the TransposeLayer. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01123">Descriptors.hpp:1123</a></div></div>
345<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00275">Tensor.cpp:275</a></div></div>
346<div class="ttc" id="structarmnn_1_1_transpose_descriptor_xhtml_a14433af2b223695b40d8c8f8ba2ebb8f"><div class="ttname"><a href="structarmnn_1_1_transpose_descriptor.xhtml#a14433af2b223695b40d8c8f8ba2ebb8f">armnn::TransposeDescriptor::m_DimMappings</a></div><div class="ttdeci">PermutationVector m_DimMappings</div><div class="ttdoc">Indicates how to translate tensor elements from a given source into the target destination, when source and target potentially have different memory layouts e.g. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01140">Descriptors.hpp:1140</a></div></div>
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