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+<div class="title">ResizeTestImpl.hpp File Reference</div>  </div>
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+<div class="contents">
+<div class="textblock"><code>#include &quot;<a class="el" href="_layer_test_result_8hpp_source.xhtml">LayerTestResult.hpp</a>&quot;</code><br />
+<code>#include &lt;<a class="el" href="_resolve_type_8hpp_source.xhtml">ResolveType.hpp</a>&gt;</code><br />
+<code>#include &lt;<a class="el" href="_types_8hpp_source.xhtml">armnn/Types.hpp</a>&gt;</code><br />
+<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 />
+<code>#include &lt;<a class="el" href="_workload_factory_8hpp_source.xhtml">backendsCommon/WorkloadFactory.hpp</a>&gt;</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>
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+<tr class="memitem:aa2db2e196bb06946a3daf8175a14c13d"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T  = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
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+<tr class="memitem:a2ba1ab96c229cb98604c2e78704f9415"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T  = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
+<tr class="memitem:a2ba1ab96c229cb98604c2e78704f9415"><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="_resize_test_impl_8hpp.xhtml#a2ba1ab96c229cb98604c2e78704f9415">HalfPixelCentersResizeNearestNeighbourTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
+<tr class="separator:a2ba1ab96c229cb98604c2e78704f9415"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:ac09a538acbdd15c12ba5e141ce3d2c6c"><td class="memTemplParams" colspan="2">template&lt;armnn::DataType ArmnnType, typename T  = armnn::ResolveType&lt;ArmnnType&gt;&gt; </td></tr>
+<tr class="memitem:ac09a538acbdd15c12ba5e141ce3d2c6c"><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="_resize_test_impl_8hpp.xhtml#ac09a538acbdd15c12ba5e141ce3d2c6c">AlignCornersResizeNearestNeighbourTest</a> (<a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;workloadFactory, const <a class="el" href="classarmnn_1_1_i_backend_internal.xhtml#a693b40e6b94e958836aeb0410ca186bd">armnn::IBackendInternal::IMemoryManagerSharedPtr</a> &amp;memoryManager, const <a class="el" href="classarmnn_1_1_i_tensor_handle_factory.xhtml">armnn::ITensorHandleFactory</a> &amp;tensorHandleFactory, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
+<tr class="separator:ac09a538acbdd15c12ba5e141ce3d2c6c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<h2 class="groupheader">Function Documentation</h2>
+<a id="a930715e04e1f3339a4fb12884400cd1f"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a930715e04e1f3339a4fb12884400cd1f">&#9670;&nbsp;</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>&lt;T, 4&gt; AlignCornersResizeBilinearTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00594"></a><span class="lineno">  594</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;    testParams.m_AlignCorners = <span class="keyword">true</span>;</div><div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;</div><div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;    testParams.m_InputShape  = { 1, 1, 2, 2 };</div><div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;    testParams.m_OutputShape = { 1, 1, 1, 1 };</div><div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;</div><div class="line"><a name="l00602"></a><span class="lineno">  602</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;    {</div><div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;          1.0f, 2.0f,</div><div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;          3.0f, 4.0f,</div><div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;    };</div><div class="line"><a name="l00607"></a><span class="lineno">  607</span>&#160;</div><div class="line"><a name="l00608"></a><span class="lineno">  608</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;    {</div><div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;          1.0f</div><div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;    };</div><div class="line"><a name="l00612"></a><span class="lineno">  612</span>&#160;</div><div class="line"><a name="l00613"></a><span class="lineno">  613</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; AlignCornersResizeNearestNeighbourTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;    testParams.m_AlignCorners = <span class="keyword">true</span>;</div><div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;</div><div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160;    testParams.m_InputShape  = { 1, 1, 2, 2 };</div><div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;    testParams.m_OutputShape = { 1, 1, 1, 1 };</div><div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;</div><div class="line"><a name="l00662"></a><span class="lineno">  662</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00663"></a><span class="lineno">  663</span>&#160;    {</div><div class="line"><a name="l00664"></a><span class="lineno">  664</span>&#160;          1.0f, 2.0f,</div><div class="line"><a name="l00665"></a><span class="lineno">  665</span>&#160;          3.0f, 4.0f,</div><div class="line"><a name="l00666"></a><span class="lineno">  666</span>&#160;    };</div><div class="line"><a name="l00667"></a><span class="lineno">  667</span>&#160;</div><div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;    {</div><div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;          1.0f</div><div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;    };</div><div class="line"><a name="l00672"></a><span class="lineno">  672</span>&#160;</div><div class="line"><a name="l00673"></a><span class="lineno">  673</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; HalfPixelCentersResizeBilinearTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    testParams.m_HalfPixelCenters = <span class="keyword">true</span>;</div><div class="line"><a name="l00560"></a><span class="lineno">  560</span>&#160;</div><div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;    testParams.m_InputShape  = { 2, 1, 2, 2 };</div><div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    testParams.m_OutputShape = { 2, 1, 3, 3 };</div><div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;</div><div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;    {</div><div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;          1.0f, 2.0f,</div><div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;          3.0f, 4.0f,</div><div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;</div><div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;          1.0f, 2.0f,</div><div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;          3.0f, 4.0f</div><div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;    };</div><div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;</div><div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;    {</div><div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;          1.0f, 1.5f, 2.0f,</div><div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;          2.0f, 2.5f, 3.0f,</div><div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;          3.0f, 3.5f, 4.0f,</div><div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;</div><div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;          1.0f, 1.5f, 2.0f,</div><div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160;          2.0f, 2.5f, 3.0f,</div><div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;          3.0f, 3.5f, 4.0f,</div><div class="line"><a name="l00582"></a><span class="lineno">  582</span>&#160;    };</div><div class="line"><a name="l00583"></a><span class="lineno">  583</span>&#160;</div><div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; HalfPixelCentersResizeNearestNeighbourTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;    testParams.m_HalfPixelCenters = <span class="keyword">true</span>;</div><div class="line"><a name="l00627"></a><span class="lineno">  627</span>&#160;</div><div class="line"><a name="l00628"></a><span class="lineno">  628</span>&#160;    testParams.m_InputShape  = { 1, 1, 2, 5 };</div><div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;    testParams.m_OutputShape = { 1, 1, 2, 2 };</div><div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;</div><div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;    {</div><div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;          1.0f, 2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;</div><div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;          1.0f, 2.0f, 3.0f, 4.0f, 5.0f</div><div class="line"><a name="l00636"></a><span class="lineno">  636</span>&#160;    };</div><div class="line"><a name="l00637"></a><span class="lineno">  637</span>&#160;</div><div class="line"><a name="l00638"></a><span class="lineno">  638</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00639"></a><span class="lineno">  639</span>&#160;    {</div><div class="line"><a name="l00640"></a><span class="lineno">  640</span>&#160;          2.0f, 4.0f,</div><div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;          2.0f, 4.0f</div><div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;    };</div><div class="line"><a name="l00643"></a><span class="lineno">  643</span>&#160;</div><div class="line"><a name="l00644"></a><span class="lineno">  644</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeBilinearMagTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;</div><div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;    testParams.m_InputShape  = { 1, 2, 3, 2 };</div><div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;    testParams.m_OutputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;    {</div><div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;          1.0f,   2.0f,</div><div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;         13.0f,  21.0f,</div><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;        144.0f, 233.0f,</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;        233.0f, 144.0f,</div><div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;         21.0f,  13.0f,</div><div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;          2.0f,   1.0f</div><div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;    };</div><div class="line"><a name="l00328"></a><span class="lineno">  328</span>&#160;</div><div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    {</div><div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;          1.0f,   1.4f,   1.8f,   2.0f,   2.0f,</div><div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;         13.0f,  16.2f,  19.4f,  21.0f,  21.0f,</div><div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;        144.0f, 179.6f, 215.2f, 233.0f, 233.0f,</div><div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;</div><div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;        233.0f, 197.4f, 161.8f, 144.0f, 144.0f,</div><div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;         21.0f,  17.8f,  14.6f,  13.0f,  13.0f,</div><div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;          2.0f,   1.6f,   1.2f,   1.0f,   1.0f</div><div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;    };</div><div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;</div><div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;    testParams.SetInQuantParams(1.0f, 0);</div><div class="line"><a name="l00341"></a><span class="lineno">  341</span>&#160;</div><div class="line"><a name="l00342"></a><span class="lineno">  342</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeBilinearMinTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    testParams.m_InputShape  = { 1, 2, 3, 5 };</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    testParams.m_OutputShape = { 1, 2, 2, 3 };</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    {</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;         1.5f,  3.0f,  4.5f,  6.0f,  7.5f,</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;         1.5f,  3.0f,  4.5f,  6.0f,  7.5f</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    };</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    {</div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;         1.50f,  4.00f,  6.50f,</div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;        12.75f, 15.25f, 17.75f,</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;        16.50f, 19.00f, 21.50f,</div><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;         5.25f,  7.75f, 10.25f</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    };</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    testParams.SetInOutQuantParams(1.5f, -1);</div><div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;</div><div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeBilinearNopTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    testParams.m_InputShape  = { 1, 2, 4, 4 };</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    testParams.m_OutputShape = testParams.m_InputShape;</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;    testParams.m_InputData =</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    {</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;        2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;        3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;        4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;        3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;        4.0f, 5.0f, 6.0f, 7.0f</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    };</div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;    testParams.m_ExpectedOutputData = testParams.m_InputData;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    testParams.SetInOutQuantParams(1.5f, 3);</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeBilinearSqMinTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    testParams.m_InputShape  = { 1, 2, 4, 4 };</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;    testParams.m_OutputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    {</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;        4.0f, 5.0f, 6.0f, 7.0f,</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;        7.0f, 6.0f, 5.0f, 4.0f,</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;        6.0f, 5.0f, 4.0f, 3.0f,</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        5.0f, 4.0f, 3.0f, 2.0f,</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;        4.0f, 3.0f, 2.0f, 1.0f</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;    };</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;    testParams.m_ExpectedOutputData =</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;        1.0f, 3.0f,</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;        3.0f, 5.0f,</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;        7.0f, 5.0f,</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        5.0f, 3.0f</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    };</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    testParams.SetInOutQuantParams(3.141592f, 3);</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeNearestNeighborMagTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">float&#160;</td>
+          <td class="paramname"><em>inQuantScale</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">int32_t&#160;</td>
+          <td class="paramname"><em>inQuantOffset</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">float&#160;</td>
+          <td class="paramname"><em>outQuantScale</em>, </td>
+        </tr>
+        <tr>
+          <td class="paramkey"></td>
+          <td></td>
+          <td class="paramtype">int32_t&#160;</td>
+          <td class="paramname"><em>outQuantOffset</em>&#160;</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>&#160;{</div><div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00517"></a><span class="lineno">  517</span>&#160;</div><div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;    testParams.m_InputShape  = { 1, 2, 3, 2 };</div><div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;    testParams.m_OutputShape = { 1, 2, 3, 5 };</div><div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;</div><div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;    {</div><div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;        0.183005f, 2.379065f,</div><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;        1.054970f, 1.302565f,</div><div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;        2.400595f, 0.688960f,</div><div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;</div><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;        2.400595f, 0.688960f,</div><div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;        1.054970f, 1.302565f,</div><div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;        0.183005f, 2.379065f,</div><div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;    };</div><div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;</div><div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;    {</div><div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;        0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f,</div><div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;        1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,</div><div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;        2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,</div><div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;</div><div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;        2.400595f, 2.400595f, 2.400595f, 0.688960f, 0.688960f,</div><div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;        1.054970f, 1.054970f, 1.054970f, 1.302565f, 1.302565f,</div><div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;        0.183005f, 0.183005f, 0.183005f, 2.379065f, 2.379065f</div><div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;    };</div><div class="line"><a name="l00542"></a><span class="lineno">  542</span>&#160;</div><div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;    testParams.SetInQuantParams(inQuantScale, inQuantOffset);</div><div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;    testParams.SetOutQuantParams(outQuantScale, outQuantOffset);</div><div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;</div><div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeNearestNeighborMinTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;        ResizeTestParams testParams;</div><div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;</div><div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;    testParams.m_InputShape  = { 1, 2, 3, 5 };</div><div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;    testParams.m_OutputShape = { 1, 2, 2, 3 };</div><div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;</div><div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;    {</div><div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;         1.5f,  3.0f,  4.5f,  6.0f,  7.5f,</div><div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;</div><div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;        16.5f, 18.0f, 19.5f, 21.0f, 22.5f,</div><div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;         9.0f, 10.5f, 12.0f, 13.5f, 15.0f,</div><div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;         1.5f,  3.0f,  4.5f,  6.0f,  7.5f</div><div class="line"><a name="l00487"></a><span class="lineno">  487</span>&#160;    };</div><div class="line"><a name="l00488"></a><span class="lineno">  488</span>&#160;</div><div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00490"></a><span class="lineno">  490</span>&#160;    {</div><div class="line"><a name="l00491"></a><span class="lineno">  491</span>&#160;         1.5f,  3.0f,  6.0f,</div><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;         9.0f, 10.5f, 13.5f,</div><div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;</div><div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;        16.5f, 18.0f, 21.0f,</div><div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;         9.0f, 10.5f, 13.5f</div><div class="line"><a name="l00496"></a><span class="lineno">  496</span>&#160;    };</div><div class="line"><a name="l00497"></a><span class="lineno">  497</span>&#160;</div><div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;    testParams.SetInOutQuantParams(1.5f, -1);</div><div class="line"><a name="l00499"></a><span class="lineno">  499</span>&#160;</div><div class="line"><a name="l00500"></a><span class="lineno">  500</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeNearestNeighborNopTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;</div><div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;    testParams.m_InputShape  = { 1, 2, 4, 4 };</div><div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;    testParams.m_OutputShape = testParams.m_InputShape;</div><div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;</div><div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;    {</div><div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;        2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;        3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;        4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;</div><div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;        3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160;        4.0f, 5.0f, 6.0f, 7.0f</div><div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    };</div><div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;</div><div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    testParams.m_ExpectedOutputData = testParams.m_InputData;</div><div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;</div><div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;    testParams.SetInOutQuantParams(1.5f, 3);</div><div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;</div><div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; ResizeNearestNeighborSqMinTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;</div><div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;    testParams.m_InputShape  = { 1, 2, 4, 4 };</div><div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;    testParams.m_OutputShape = { 1, 2, 2, 2 };</div><div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;</div><div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;    {</div><div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;        1.0f, 2.0f, 3.0f, 4.0f,</div><div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;        2.0f, 3.0f, 4.0f, 5.0f,</div><div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;        3.0f, 4.0f, 5.0f, 6.0f,</div><div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;        4.0f, 5.0f, 6.0f, 7.0f,</div><div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;</div><div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;        7.0f, 6.0f, 5.0f, 4.0f,</div><div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;        6.0f, 5.0f, 4.0f, 3.0f,</div><div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;        5.0f, 4.0f, 3.0f, 2.0f,</div><div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;        4.0f, 3.0f, 2.0f, 1.0f</div><div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;    };</div><div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;</div><div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;    {</div><div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;        1.0f, 3.0f,</div><div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;        3.0f, 5.0f,</div><div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;</div><div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;        7.0f, 5.0f,</div><div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;        5.0f, 3.0f</div><div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;    };</div><div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;</div><div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;    testParams.SetInOutQuantParams(3.141592f, 3);</div><div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;</div><div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; SimpleResizeBilinearTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    testParams.m_InputShape  = { 1, 2, 2, 2 };</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    testParams.m_OutputShape = { 1, 2, 1, 1 };</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    {</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;          1.0f, 255.0f,</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;        200.0f, 250.0f,</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;        250.0f, 200.0f,</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;        250.0f,   1.0f</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;    };</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    <span class="comment">// The &#39;resize&#39; 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>&#160;    <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>&#160;    <span class="comment">// output texel. Thus, for a input matrix of 2x2, we&#39;ll expect the output 1x1 matrix to contain, as</span></div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    <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>&#160;    <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>&#160;    testParams.m_ExpectedOutputData =</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;          1.0f,</div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;        250.0f</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;    };</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;    testParams.SetInOutQuantParams(0.1567f, 1);</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;}</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">&#9670;&nbsp;</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>&lt;T, 4&gt; SimpleResizeNearestNeighborTest </td>
+          <td>(</td>
+          <td class="paramtype"><a class="el" href="classarmnn_1_1_i_workload_factory.xhtml">armnn::IWorkloadFactory</a> &amp;&#160;</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> &amp;&#160;</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> &amp;&#160;</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>&#160;</td>
+          <td class="paramname"><em>dataLayout</em>&#160;</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>&#160;{</div><div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;    ResizeTestParams testParams;</div><div class="line"><a name="l00391"></a><span class="lineno">  391</span>&#160;    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>&#160;    testParams.m_DataLayout   = dataLayout;</div><div class="line"><a name="l00393"></a><span class="lineno">  393</span>&#160;</div><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;    testParams.m_InputShape  = { 1, 2, 2, 2 };</div><div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    testParams.m_OutputShape = { 1, 2, 1, 1 };</div><div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;</div><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;    testParams.m_InputData =</div><div class="line"><a name="l00398"></a><span class="lineno">  398</span>&#160;    {</div><div class="line"><a name="l00399"></a><span class="lineno">  399</span>&#160;          1.0f, 255.0f,</div><div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;        200.0f, 250.0f,</div><div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;</div><div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;        250.0f, 200.0f,</div><div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;        250.0f,   1.0f</div><div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;    };</div><div class="line"><a name="l00405"></a><span class="lineno">  405</span>&#160;</div><div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;    <span class="comment">// The &#39;resize&#39; 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>&#160;    <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>&#160;    <span class="comment">// output texel. Thus, for a input matrix of 2x2, we&#39;ll expect the output 1x1 matrix to contain, as</span></div><div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    <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>&#160;    <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>&#160;    testParams.m_ExpectedOutputData =</div><div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160;    {</div><div class="line"><a name="l00413"></a><span class="lineno">  413</span>&#160;          1.0f,</div><div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;</div><div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160;        250.0f</div><div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    };</div><div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;</div><div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;    testParams.SetInOutQuantParams(0.1567f, 1);</div><div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;</div><div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    <span class="keywordflow">return</span> ResizeTestImpl&lt;4, ArmnnType&gt;(workloadFactory, memoryManager, tensorHandleFactory, testParams);</div><div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;}</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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