IVGCVSW-5687 Update Doxygen Docu
* Update Doxygen Documentation for 21.02 release
Signed-off-by: Jan Eilers <jan.eilers@arm.com>
Change-Id: I9ed2f9caab038836ea99d7b378d7899fe431a4e5
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+<div class="title">ResizeTestImpl.hpp File Reference</div> </div>
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+<div class="textblock"><code>#include "<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>"</code><br />
+<code>#include <<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>></code><br />
+<code>#include <<a class="el" href="_types_8hpp_source.xhtml">armnn/Types.hpp</a>></code><br />
+<code>#include <<a class="el" href="include_2armnn_2backends_2_i_backend_internal_8hpp_source.xhtml">armnn/backends/IBackendInternal.hpp</a>></code><br />
+<code>#include <<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>></code><br />
+</div>
+<p><a href="_resize_test_impl_8hpp_source.xhtml">Go to the source code of this file.</a></p>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
+Functions</h2></td></tr>
+<tr class="memitem:aa2db2e196bb06946a3daf8175a14c13d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:aa2db2e196bb06946a3daf8175a14c13d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#aa2db2e196bb06946a3daf8175a14c13d">ResizeBilinearNopTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
+<tr class="separator:aa2db2e196bb06946a3daf8175a14c13d"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a4119b16ebc3a6d284994fb31bc1bae5c"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:a4119b16ebc3a6d284994fb31bc1bae5c"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#a4119b16ebc3a6d284994fb31bc1bae5c">SimpleResizeBilinearTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
+<tr class="separator:a4119b16ebc3a6d284994fb31bc1bae5c"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a92001d5535a952b1662208b56e4c1a0d"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:a92001d5535a952b1662208b56e4c1a0d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#a92001d5535a952b1662208b56e4c1a0d">ResizeBilinearSqMinTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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+<tr class="memitem:ab6c56ff0b93e3d1b0ebb45d32fd107c0"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:ab6c56ff0b93e3d1b0ebb45d32fd107c0"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#ab6c56ff0b93e3d1b0ebb45d32fd107c0">ResizeBilinearMinTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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+<tr class="memitem:a33aeb82b9051e33b3bca1b2425931576"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
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+<tr class="separator:a33aeb82b9051e33b3bca1b2425931576"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:a2cf15f90d138a0d77b7d1b7f36f16a5e"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:a2cf15f90d138a0d77b7d1b7f36f16a5e"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#a2cf15f90d138a0d77b7d1b7f36f16a5e">SimpleResizeNearestNeighborTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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+<tr class="memitem:add4e120720dcb11922c35ef356ff56b0"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:add4e120720dcb11922c35ef356ff56b0"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#add4e120720dcb11922c35ef356ff56b0">ResizeNearestNeighborMagTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout, float inQuantScale, int32_t inQuantOffset, float outQuantScale, int32_t outQuantOffset)</td></tr>
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+<tr class="memitem:a3f28f588088eee189083910b9288fbbe"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#a3f28f588088eee189083910b9288fbbe">HalfPixelCentersResizeBilinearTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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+<tr class="memitem:a930715e04e1f3339a4fb12884400cd1f"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:a930715e04e1f3339a4fb12884400cd1f"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#a930715e04e1f3339a4fb12884400cd1f">AlignCornersResizeBilinearTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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+<tr class="separator:a2ba1ab96c229cb98604c2e78704f9415"><td class="memSeparator" colspan="2"> </td></tr>
+<tr class="memitem:ac09a538acbdd15c12ba5e141ce3d2c6c"><td class="memTemplParams" colspan="2">template<armnn::DataType ArmnnType, typename T = armnn::ResolveType<ArmnnType>> </td></tr>
+<tr class="memitem:ac09a538acbdd15c12ba5e141ce3d2c6c"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a>< T, 4 > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="_resize_test_impl_8hpp.xhtml#ac09a538acbdd15c12ba5e141ce3d2c6c">AlignCornersResizeNearestNeighbourTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
+<tr class="separator:ac09a538acbdd15c12ba5e141ce3d2c6c"><td class="memSeparator" colspan="2"> </td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="a930715e04e1f3339a4fb12884400cd1f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a930715e04e1f3339a4fb12884400cd1f">◆ </a></span>AlignCornersResizeBilinearTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> AlignCornersResizeBilinearTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00588">588</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>.</p>
+<div class="fragment"><div class="line"><a name="l00593"></a><span class="lineno"> 593</span> {</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  testParams.m_AlignCorners = <span class="keyword">true</span>;</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span> </div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  testParams.m_InputShape = { 1, 1, 2, 2 };</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  testParams.m_OutputShape = { 1, 1, 1, 1 };</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> </div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span>  testParams.m_InputData =</div><div class="line"><a name="l00603"></a><span class="lineno"> 603</span>  {</div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span>  1.0f, 2.0f,</div><div class="line"><a name="l00605"></a><span class="lineno"> 605</span>  3.0f, 4.0f,</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span>  };</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span> </div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  {</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  1.0f</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  };</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="ac09a538acbdd15c12ba5e141ce3d2c6c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ac09a538acbdd15c12ba5e141ce3d2c6c">◆ </a></span>AlignCornersResizeNearestNeighbourTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> AlignCornersResizeNearestNeighbourTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00648">648</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::NearestNeighbor</a>.</p>
+<div class="fragment"><div class="line"><a name="l00653"></a><span class="lineno"> 653</span> {</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  testParams.m_AlignCorners = <span class="keyword">true</span>;</div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span> </div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  testParams.m_InputShape = { 1, 1, 2, 2 };</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span>  testParams.m_OutputShape = { 1, 1, 1, 1 };</div><div class="line"><a name="l00661"></a><span class="lineno"> 661</span> </div><div class="line"><a name="l00662"></a><span class="lineno"> 662</span>  testParams.m_InputData =</div><div class="line"><a name="l00663"></a><span class="lineno"> 663</span>  {</div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  1.0f, 2.0f,</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  3.0f, 4.0f,</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  };</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span> </div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  {</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  1.0f</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  };</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a3f28f588088eee189083910b9288fbbe"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a3f28f588088eee189083910b9288fbbe">◆ </a></span>HalfPixelCentersResizeBilinearTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> HalfPixelCentersResizeBilinearTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00550">550</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>.</p>
+<div class="fragment"><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> {</div><div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  testParams.m_HalfPixelCenters = <span class="keyword">true</span>;</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  testParams.m_InputShape = { 2, 1, 2, 2 };</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  testParams.m_OutputShape = { 2, 1, 3, 3 };</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  testParams.m_InputData =</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00566"></a><span class="lineno"> 566</span>  1.0f, 2.0f,</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  3.0f, 4.0f,</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span> </div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  1.0f, 2.0f,</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  3.0f, 4.0f</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  };</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span> </div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span>  {</div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  1.0f, 1.5f, 2.0f,</div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  2.0f, 2.5f, 3.0f,</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  3.0f, 3.5f, 4.0f,</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00579"></a><span class="lineno"> 579</span>  1.0f, 1.5f, 2.0f,</div><div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  2.0f, 2.5f, 3.0f,</div><div class="line"><a name="l00581"></a><span class="lineno"> 581</span>  3.0f, 3.5f, 4.0f,</div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  };</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span> </div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a2ba1ab96c229cb98604c2e78704f9415"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2ba1ab96c229cb98604c2e78704f9415">◆ </a></span>HalfPixelCentersResizeNearestNeighbourTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> HalfPixelCentersResizeNearestNeighbourTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00617">617</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::NearestNeighbor</a>.</p>
+<div class="fragment"><div class="line"><a name="l00622"></a><span class="lineno"> 622</span> {</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00626"></a><span class="lineno"> 626</span>  testParams.m_HalfPixelCenters = <span class="keyword">true</span>;</div><div class="line"><a name="l00627"></a><span class="lineno"> 627</span> </div><div class="line"><a name="l00628"></a><span class="lineno"> 628</span>  testParams.m_InputShape = { 1, 1, 2, 5 };</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  testParams.m_OutputShape = { 1, 1, 2, 2 };</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span> </div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  testParams.m_InputData =</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  {</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  1.0f, 2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span> </div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  1.0f, 2.0f, 3.0f, 4.0f, 5.0f</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span>  };</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div><div class="line"><a name="l00638"></a><span class="lineno"> 638</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span>  {</div><div class="line"><a name="l00640"></a><span class="lineno"> 640</span>  2.0f, 4.0f,</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span>  2.0f, 4.0f</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  };</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span> </div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a87ea44986ca2ae678f417953cbf25fba"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a87ea44986ca2ae678f417953cbf25fba">◆ </a></span>ResizeBilinearMagTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeBilinearMagTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00305">305</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>.</p>
+<div class="fragment"><div class="line"><a name="l00310"></a><span class="lineno"> 310</span> {</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span> </div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  testParams.m_InputShape = { 1, 2, 3, 2 };</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  testParams.m_OutputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span> </div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  testParams.m_InputData =</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  {</div><div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  1.0f, 2.0f,</div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  13.0f, 21.0f,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  144.0f, 233.0f,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span> </div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  233.0f, 144.0f,</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  21.0f, 13.0f,</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  2.0f, 1.0f</div><div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  };</div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span> </div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  {</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  1.0f, 1.4f, 1.8f, 2.0f, 2.0f,</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  13.0f, 16.2f, 19.4f, 21.0f, 21.0f,</div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  144.0f, 179.6f, 215.2f, 233.0f, 233.0f,</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> </div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  233.0f, 197.4f, 161.8f, 144.0f, 144.0f,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  21.0f, 17.8f, 14.6f, 13.0f, 13.0f,</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  2.0f, 1.6f, 1.2f, 1.0f, 1.0f</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  };</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span> </div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  testParams.SetInQuantParams(1.0f, 0);</div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="ab6c56ff0b93e3d1b0ebb45d32fd107c0"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#ab6c56ff0b93e3d1b0ebb45d32fd107c0">◆ </a></span>ResizeBilinearMinTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeBilinearMinTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00266">266</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>.</p>
+<div class="fragment"><div class="line"><a name="l00271"></a><span class="lineno"> 271</span> {</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> </div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  testParams.m_InputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  testParams.m_OutputShape = { 1, 2, 2, 3 };</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  testParams.m_InputData =</div><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f,</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span> </div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f</div><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  };</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span> </div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  {</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  1.50f, 4.00f, 6.50f,</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  12.75f, 15.25f, 17.75f,</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  16.50f, 19.00f, 21.50f,</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  5.25f, 7.75f, 10.25f</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  };</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  testParams.SetInOutQuantParams(1.5f, -1);</div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="aa2db2e196bb06946a3daf8175a14c13d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#aa2db2e196bb06946a3daf8175a14c13d">◆ </a></span>ResizeBilinearNopTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeBilinearNopTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00151">151</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>.</p>
+<div class="fragment"><div class="line"><a name="l00156"></a><span class="lineno"> 156</span> {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  testParams.m_OutputShape = testParams.m_InputShape;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  testParams.m_InputData =</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  {</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  4.0f, 5.0f, 6.0f, 7.0f</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  };</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  testParams.m_ExpectedOutputData = testParams.m_InputData;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  testParams.SetInOutQuantParams(1.5f, 3);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a92001d5535a952b1662208b56e4c1a0d"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a92001d5535a952b1662208b56e4c1a0d">◆ </a></span>ResizeBilinearSqMinTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeBilinearSqMinTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00225">225</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>.</p>
+<div class="fragment"><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  testParams.m_OutputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> </div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  testParams.m_InputData =</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  7.0f, 6.0f, 5.0f, 4.0f,</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  6.0f, 5.0f, 4.0f, 3.0f,</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  5.0f, 4.0f, 3.0f, 2.0f,</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  4.0f, 3.0f, 2.0f, 1.0f</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  };</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span> </div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  1.0f, 3.0f,</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  3.0f, 5.0f,</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  7.0f, 5.0f,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  5.0f, 3.0f</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  };</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  testParams.SetInOutQuantParams(3.141592f, 3);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="add4e120720dcb11922c35ef356ff56b0"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#add4e120720dcb11922c35ef356ff56b0">◆ </a></span>ResizeNearestNeighborMagTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeNearestNeighborMagTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>inQuantScale</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int32_t </td>
+ <td class="paramname"><em>inQuantOffset</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">float </td>
+ <td class="paramname"><em>outQuantScale</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">int32_t </td>
+ <td class="paramname"><em>outQuantOffset</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00504">504</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::NearestNeighbor</a>.</p>
+<div class="fragment"><div class="line"><a name="l00513"></a><span class="lineno"> 513</span> {</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00518"></a><span class="lineno"> 518</span>  testParams.m_InputShape = { 1, 2, 3, 2 };</div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  testParams.m_OutputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  testParams.m_InputData =</div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  {</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  0.183005f, 2.379065f,</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  1.054970f, 1.302565f,</div><div class="line"><a name="l00525"></a><span class="lineno"> 525</span>  2.400595f, 0.688960f,</div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span> </div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  2.400595f, 0.688960f,</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  1.054970f, 1.302565f,</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  0.183005f, 2.379065f,</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span>  };</div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00532"></a><span class="lineno"> 532</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span>  {</div><div class="line"><a name="l00534"></a><span class="lineno"> 534</span>  0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f,</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span>  1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span>  2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,</div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span> </div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  };</div><div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  testParams.SetInQuantParams(inQuantScale, inQuantOffset);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  testParams.SetOutQuantParams(outQuantScale, outQuantOffset);</div><div class="line"><a name="l00545"></a><span class="lineno"> 545</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a0fb2443480d1dfe96d56934d5bc881ef"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a0fb2443480d1dfe96d56934d5bc881ef">◆ </a></span>ResizeNearestNeighborMinTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeNearestNeighborMinTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00465">465</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::NearestNeighbor</a>.</p>
+<div class="fragment"><div class="line"><a name="l00470"></a><span class="lineno"> 470</span> {</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  testParams.m_InputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  testParams.m_OutputShape = { 1, 2, 2, 3 };</div><div class="line"><a name="l00477"></a><span class="lineno"> 477</span> </div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  testParams.m_InputData =</div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  {</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f,</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00486"></a><span class="lineno"> 486</span>  1.5f, 3.0f, 4.5f, 6.0f, 7.5f</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  };</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  1.5f, 3.0f, 6.0f,</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  9.0f, 10.5f, 13.5f,</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  16.5f, 18.0f, 21.0f,</div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  9.0f, 10.5f, 13.5f</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span>  };</div><div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  testParams.SetInOutQuantParams(1.5f, -1);</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span> </div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00501"></a><span class="lineno"> 501</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a33aeb82b9051e33b3bca1b2425931576"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a33aeb82b9051e33b3bca1b2425931576">◆ </a></span>ResizeNearestNeighborNopTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeNearestNeighborNopTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00350">350</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::NearestNeighbor</a>.</p>
+<div class="fragment"><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> {</div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00359"></a><span class="lineno"> 359</span> </div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  testParams.m_OutputShape = testParams.m_InputShape;</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span> </div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  testParams.m_InputData =</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  {</div><div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span> </div><div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  4.0f, 5.0f, 6.0f, 7.0f</div><div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  };</div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span> </div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  testParams.m_ExpectedOutputData = testParams.m_InputData;</div><div class="line"><a name="l00377"></a><span class="lineno"> 377</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  testParams.SetInOutQuantParams(1.5f, 3);</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span> </div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a47f85f2efb30c1bbefa26b5870cb679a"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a47f85f2efb30c1bbefa26b5870cb679a">◆ </a></span>ResizeNearestNeighborSqMinTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> ResizeNearestNeighborSqMinTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00424">424</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::NearestNeighbor</a>.</p>
+<div class="fragment"><div class="line"><a name="l00429"></a><span class="lineno"> 429</span> {</div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00431"></a><span class="lineno"> 431</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00433"></a><span class="lineno"> 433</span> </div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  testParams.m_InputShape = { 1, 2, 4, 4 };</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  testParams.m_OutputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00437"></a><span class="lineno"> 437</span>  testParams.m_InputData =</div><div class="line"><a name="l00438"></a><span class="lineno"> 438</span>  {</div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span>  1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span> </div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  7.0f, 6.0f, 5.0f, 4.0f,</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span>  6.0f, 5.0f, 4.0f, 3.0f,</div><div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  5.0f, 4.0f, 3.0f, 2.0f,</div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  4.0f, 3.0f, 2.0f, 1.0f</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  };</div><div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  {</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  1.0f, 3.0f,</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  3.0f, 5.0f,</div><div class="line"><a name="l00454"></a><span class="lineno"> 454</span> </div><div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  7.0f, 5.0f,</div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  5.0f, 3.0f</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  };</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span> </div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  testParams.SetInOutQuantParams(3.141592f, 3);</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a4119b16ebc3a6d284994fb31bc1bae5c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a4119b16ebc3a6d284994fb31bc1bae5c">◆ </a></span>SimpleResizeBilinearTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> SimpleResizeBilinearTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00185">185</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::Bilinear</a>.</p>
+<div class="fragment"><div class="line"><a name="l00190"></a><span class="lineno"> 190</span> {</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a>;</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span> </div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  testParams.m_InputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  testParams.m_OutputShape = { 1, 2, 1, 1 };</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  testParams.m_InputData =</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  {</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  1.0f, 255.0f,</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  200.0f, 250.0f,</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> </div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  250.0f, 200.0f,</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  250.0f, 1.0f</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  };</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span> </div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// The 'resize' operation projects the top-left corner of output texels into the input image,</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// then figures out the interpolants and weights. Note this is different to projecting the centre of the</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// its single element, the value that was at position (0,0) of the input matrix (rather than an average,</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// which we would expect if projecting the centre).</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  1.0f,</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  250.0f</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  };</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  testParams.SetInOutQuantParams(0.1567f, 1);</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaf17c98bbd83c27d6426d2ff3fa81d7f">armnn::ResizeMethod::Bilinear</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a2cf15f90d138a0d77b7d1b7f36f16a5e"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a2cf15f90d138a0d77b7d1b7f36f16a5e">◆ </a></span>SimpleResizeNearestNeighborTest()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="struct_layer_test_result.xhtml">LayerTestResult</a><T, 4> SimpleResizeNearestNeighborTest </td>
+ <td>(</td>
+ <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> & </td>
+ <td class="paramname"><em>workloadFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> & </td>
+ <td class="paramname"><em>memoryManager</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> & </td>
+ <td class="paramname"><em>tensorHandleFactory</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
+ <td class="paramname"><em>dataLayout</em> </td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_resize_test_impl_8cpp_source.xhtml#l00384">384</a> of file <a class="el" href="_resize_test_impl_8cpp_source.xhtml">ResizeTestImpl.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::NearestNeighbor</a>.</p>
+<div class="fragment"><div class="line"><a name="l00389"></a><span class="lineno"> 389</span> {</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span>  ResizeTestParams testParams;</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span>  testParams.m_ResizeMethod = <a class="code" href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a>;</div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span>  testParams.m_DataLayout = dataLayout;</div><div class="line"><a name="l00393"></a><span class="lineno"> 393</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  testParams.m_InputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  testParams.m_OutputShape = { 1, 2, 1, 1 };</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div><div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  testParams.m_InputData =</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  {</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  1.0f, 255.0f,</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  200.0f, 250.0f,</div><div class="line"><a name="l00401"></a><span class="lineno"> 401</span> </div><div class="line"><a name="l00402"></a><span class="lineno"> 402</span>  250.0f, 200.0f,</div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  250.0f, 1.0f</div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  };</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div><div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="comment">// The 'resize' operation projects the top-left corner of output texels into the input image,</span></div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="comment">// then figures out the interpolants and weights. Note this is different to projecting the centre of the</span></div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="comment">// output texel. Thus, for a input matrix of 2x2, we'll expect the output 1x1 matrix to contain, as</span></div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span>  <span class="comment">// its single element, the value that was at position (0,0) of the input matrix (rather than an average,</span></div><div class="line"><a name="l00410"></a><span class="lineno"> 410</span>  <span class="comment">// which we would expect if projecting the centre).</span></div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span>  {</div><div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  1.0f,</div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span> </div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  250.0f</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  };</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  testParams.SetInOutQuantParams(0.1567f, 1);</div><div class="line"><a name="l00419"></a><span class="lineno"> 419</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  <span class="keywordflow">return</span> ResizeTestImpl<4, ArmnnType>(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span> }</div><div class="ttc" id="namespacearmnn_xhtml_a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f"><div class="ttname"><a href="namespacearmnn.xhtml#a9a2af2f8c4af4f9efa8e79417d505ac4aaa020331bb30d2fa2ecf7c3a0777823f">armnn::ResizeMethod::NearestNeighbor</a></div></div>
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