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authorJan Eilers <jan.eilers@arm.com>2021-02-25 17:44:00 +0000
committerJan Eilers <jan.eilers@arm.com>2021-02-25 18:27:49 +0000
commitfd627ffaec8fd8801d980b4c91ee7c0607ab6aaf (patch)
treeeb4bc8f9b411f30c7655616142b5a4bdd3a1acd0 /21.02/class_layer_verifier_base.xhtml
parentfb14ebbd68e04876809145296af96f6f41857418 (diff)
downloadarmnn-fd627ffaec8fd8801d980b4c91ee7c0607ab6aaf.tar.gz
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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+<!-- Copyright (c) 2020 ARM Limited. -->
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+<div class="header">
+ <div class="summary">
+<a href="#pub-methods">Public Member Functions</a> &#124;
+<a href="#pro-methods">Protected Member Functions</a> &#124;
+<a href="class_layer_verifier_base-members.xhtml">List of all members</a> </div>
+ <div class="headertitle">
+<div class="title">LayerVerifierBase Class Reference</div> </div>
+</div><!--header-->
+<div class="contents">
+
+<p><code>#include &lt;<a class="el" href="_serializer_test_utils_8hpp_source.xhtml">SerializerTestUtils.hpp</a>&gt;</code></p>
+<div class="dynheader">
+Inheritance diagram for LayerVerifierBase:</div>
+<div class="dyncontent">
+ <div class="center">
+ <img src="class_layer_verifier_base.png" usemap="#LayerVerifierBase_map" alt=""/>
+ <map id="LayerVerifierBase_map" name="LayerVerifierBase_map">
+<area href="classarmnn_1_1_i_strategy.xhtml" alt="IStrategy" shape="rect" coords="413,0,816,24"/>
+<area href="class_layer_verifier_base_with_descriptor.xhtml" alt="LayerVerifierBaseWithDescriptor&lt; Descriptor &gt;" shape="rect" coords="0,112,403,136"/>
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+<area href="class_layer_verifier_base_with_descriptor.xhtml" alt="LayerVerifierBaseWithDescriptor&lt; armnn::ResizeBilinearDescriptor &gt;" shape="rect" coords="826,112,1229,136"/>
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+ </div></div>
+<table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
+Public Member Functions</h2></td></tr>
+<tr class="memitem:a39bdf94af97d9484d02649b749da327c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_layer_verifier_base.xhtml#a39bdf94af97d9484d02649b749da327c">LayerVerifierBase</a> (const std::string &amp;layerName, const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &gt; &amp;inputInfos, const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &gt; &amp;outputInfos)</td></tr>
+<tr class="separator:a39bdf94af97d9484d02649b749da327c"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a49f7f1098adb86fd2197d9aee3924de2"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_layer_verifier_base.xhtml#a49f7f1098adb86fd2197d9aee3924de2">ExecuteStrategy</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *layer, const <a class="el" href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a> &amp;descriptor, const std::vector&lt; <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> &gt; &amp;constants, const char *name, const <a class="el" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> id=0) override</td></tr>
+<tr class="separator:a49f7f1098adb86fd2197d9aee3924de2"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pub_methods_classarmnn_1_1_i_strategy"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarmnn_1_1_i_strategy')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a></td></tr>
+<tr class="memitem:aad5bb4d8050fd428ff03ae6d81e3014c inherit pub_methods_classarmnn_1_1_i_strategy"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_strategy.xhtml#aad5bb4d8050fd428ff03ae6d81e3014c">ExecuteStrategy</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *layer, const <a class="el" href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a> &amp;descriptor, const std::vector&lt; <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> &gt; &amp;constants, const char *name, const <a class="el" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a> id=0)=0</td></tr>
+<tr class="separator:aad5bb4d8050fd428ff03ae6d81e3014c inherit pub_methods_classarmnn_1_1_i_strategy"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:adf2f7effbf860b32e9a4ef2a73f84190 inherit pub_methods_classarmnn_1_1_i_strategy"><td class="memItemLeft" align="right" valign="top">virtual void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_strategy.xhtml#adf2f7effbf860b32e9a4ef2a73f84190">FinishStrategy</a> ()</td></tr>
+<tr class="separator:adf2f7effbf860b32e9a4ef2a73f84190 inherit pub_methods_classarmnn_1_1_i_strategy"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table><table class="memberdecls">
+<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pro-methods"></a>
+Protected Member Functions</h2></td></tr>
+<tr class="memitem:a56e5da77beb8c601e09bf78371b95828"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_layer_verifier_base.xhtml#a56e5da77beb8c601e09bf78371b95828">VerifyNameAndConnections</a> (const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *layer, const char *name)</td></tr>
+<tr class="separator:a56e5da77beb8c601e09bf78371b95828"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a9c63da545906a03b453fff6b556ed6ad"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_layer_verifier_base.xhtml#a9c63da545906a03b453fff6b556ed6ad">VerifyConstTensors</a> (const std::string &amp;tensorName, const <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> *expectedPtr, const <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> *actualPtr)</td></tr>
+<tr class="separator:a9c63da545906a03b453fff6b556ed6ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="inherit_header pro_methods_classarmnn_1_1_i_strategy"><td colspan="2" onclick="javascript:toggleInherit('pro_methods_classarmnn_1_1_i_strategy')"><img src="closed.png" alt="-"/>&#160;Protected Member Functions inherited from <a class="el" href="classarmnn_1_1_i_strategy.xhtml">IStrategy</a></td></tr>
+<tr class="memitem:a196ae18353afdcea7f8ab5c4cc7b3a6b inherit pro_methods_classarmnn_1_1_i_strategy"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_strategy.xhtml#a196ae18353afdcea7f8ab5c4cc7b3a6b">IStrategy</a> ()</td></tr>
+<tr class="separator:a196ae18353afdcea7f8ab5c4cc7b3a6b inherit pro_methods_classarmnn_1_1_i_strategy"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a6f538e1051453290c8b8bb61e417bce1 inherit pro_methods_classarmnn_1_1_i_strategy"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_1_1_i_strategy.xhtml#a6f538e1051453290c8b8bb61e417bce1">~IStrategy</a> ()</td></tr>
+<tr class="separator:a6f538e1051453290c8b8bb61e417bce1 inherit pro_methods_classarmnn_1_1_i_strategy"><td class="memSeparator" colspan="2">&#160;</td></tr>
+</table>
+<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
+<div class="textblock">
+<p class="definition">Definition at line <a class="el" href="_serializer_test_utils_8hpp_source.xhtml#l00024">24</a> of file <a class="el" href="_serializer_test_utils_8hpp_source.xhtml">SerializerTestUtils.hpp</a>.</p>
+</div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
+<a id="a39bdf94af97d9484d02649b749da327c"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a39bdf94af97d9484d02649b749da327c">&#9670;&nbsp;</a></span>LayerVerifierBase()</h2>
+
+<div class="memitem">
+<div class="memproto">
+ <table class="memname">
+ <tr>
+ <td class="memname"><a class="el" href="class_layer_verifier_base.xhtml">LayerVerifierBase</a> </td>
+ <td>(</td>
+ <td class="paramtype">const std::string &amp;&#160;</td>
+ <td class="paramname"><em>layerName</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &gt; &amp;&#160;</td>
+ <td class="paramname"><em>inputInfos</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &gt; &amp;&#160;</td>
+ <td class="paramname"><em>outputInfos</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="_serializer_test_utils_8cpp_source.xhtml#l00011">11</a> of file <a class="el" href="_serializer_test_utils_8cpp_source.xhtml">SerializerTestUtils.cpp</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_serializer_tests_8cpp_source.xhtml#l00228">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160; : m_LayerName(layerName)</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; , m_InputTensorInfos(inputInfos)</div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160; , m_OutputTensorInfos(outputInfos)</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{}</div></div><!-- fragment -->
+</div>
+</div>
+<h2 class="groupheader">Member Function Documentation</h2>
+<a id="a49f7f1098adb86fd2197d9aee3924de2"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a49f7f1098adb86fd2197d9aee3924de2">&#9670;&nbsp;</a></span>ExecuteStrategy()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void ExecuteStrategy </td>
+ <td>(</td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *&#160;</td>
+ <td class="paramname"><em>layer</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="structarmnn_1_1_base_descriptor.xhtml">armnn::BaseDescriptor</a> &amp;&#160;</td>
+ <td class="paramname"><em>descriptor</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const std::vector&lt; <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> &gt; &amp;&#160;</td>
+ <td class="paramname"><em>constants</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const char *&#160;</td>
+ <td class="paramname"><em>name</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ab8cf8f9fb6792e654c2d8d8382f6f01b">armnn::LayerBindingId</a>&#160;</td>
+ <td class="paramname"><em>id</em> = <code>0</code>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">override</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_serializer_test_utils_8cpp_source.xhtml#l00019">19</a> of file <a class="el" href="_serializer_test_utils_8cpp_source.xhtml">SerializerTestUtils.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">IConnectableLayer::GetType()</a>, <a class="el" href="_ignore_unused_8hpp_source.xhtml#l00014">armnn::IgnoreUnused()</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::Input</a>, <a class="el" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::Output</a>, and <a class="el" href="_serializer_test_utils_8cpp_source.xhtml#l00038">VerifyNameAndConnections()</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_serializer_tests_8cpp_source.xhtml#l00026">BOOST_AUTO_TEST_CASE()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;{</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160; <a class="code" href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a>(descriptor, constants, <span class="keywordtype">id</span>);</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">switch</span> (layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">GetType</a>())</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a>: <span class="keywordflow">break</span>;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a>: <span class="keywordflow">break</span>;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <a class="code" href="class_layer_verifier_base.xhtml#a56e5da77beb8c601e09bf78371b95828">VerifyNameAndConnections</a>(layer, name);</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; }</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; }</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;}</div><div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a29c2c02a361c9d7028472e5d92cd4a54">armnn::LayerType::Output</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a44affeeb090c3c6a3062830562672e84"><div class="ttname"><a href="namespacearmnn.xhtml#a44affeeb090c3c6a3062830562672e84">armnn::IgnoreUnused</a></div><div class="ttdeci">void IgnoreUnused(Ts &amp;&amp;...)</div><div class="ttdef"><b>Definition:</b> <a href="_ignore_unused_8hpp_source.xhtml#l00014">IgnoreUnused.hpp:14</a></div></div>
+<div class="ttc" id="class_layer_verifier_base_xhtml_a56e5da77beb8c601e09bf78371b95828"><div class="ttname"><a href="class_layer_verifier_base.xhtml#a56e5da77beb8c601e09bf78371b95828">LayerVerifierBase::VerifyNameAndConnections</a></div><div class="ttdeci">void VerifyNameAndConnections(const armnn::IConnectableLayer *layer, const char *name)</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_test_utils_8cpp_source.xhtml#l00038">SerializerTestUtils.cpp:38</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_adceb04ae84c524e4d01881e3754a4d59"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#adceb04ae84c524e4d01881e3754a4d59">armnn::IConnectableLayer::GetType</a></div><div class="ttdeci">virtual LayerType GetType() const =0</div><div class="ttdoc">Returns the armnn::LayerType of this layer. </div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5"><div class="ttname"><a href="namespacearmnn.xhtml#a56943a0946e5f15e5e58054b8e7a04a4a324118a6721dd6b8a9b9f4e327df2bf5">armnn::LayerType::Input</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a9c63da545906a03b453fff6b556ed6ad"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a9c63da545906a03b453fff6b556ed6ad">&#9670;&nbsp;</a></span>VerifyConstTensors()</h2>
+
+<div class="memitem">
+<div class="memproto">
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+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void VerifyConstTensors </td>
+ <td>(</td>
+ <td class="paramtype">const std::string &amp;&#160;</td>
+ <td class="paramname"><em>tensorName</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> *&#160;</td>
+ <td class="paramname"><em>expectedPtr</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> *&#160;</td>
+ <td class="paramname"><em>actualPtr</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_serializer_test_utils_8cpp_source.xhtml#l00071">71</a> of file <a class="el" href="_serializer_test_utils_8cpp_source.xhtml">SerializerTestUtils.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00194">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00180">armnn::GetDataTypeName()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00282">BaseTensor&lt; MemoryType &gt;::GetInfo()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00292">BaseTensor&lt; MemoryType &gt;::GetMemoryArea()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00289">BaseTensor&lt; MemoryType &gt;::GetNumBytes()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_lstm_serialization_tests_8cpp_source.xhtml#l00025">ConstantVector2LstmInputParams()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;{</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">if</span> (expectedPtr == <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; BOOST_CHECK_MESSAGE(actualPtr == <span class="keyword">nullptr</span>, tensorName + <span class="stringliteral">&quot; should not exist&quot;</span>);</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <span class="keywordflow">else</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; BOOST_CHECK_MESSAGE(actualPtr != <span class="keyword">nullptr</span>, tensorName + <span class="stringliteral">&quot; should have been set&quot;</span>);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">if</span> (actualPtr != <span class="keyword">nullptr</span>)</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; expectedInfo = expectedPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; actualInfo = actualPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160;</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; BOOST_CHECK_MESSAGE(expectedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == actualInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(),</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; tensorName + <span class="stringliteral">&quot; shapes don&#39;t match&quot;</span>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; BOOST_CHECK_MESSAGE(</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(expectedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()) == <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(actualInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; tensorName + <span class="stringliteral">&quot; data types don&#39;t match&quot;</span>);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160;</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; BOOST_CHECK_MESSAGE(expectedPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>() == actualPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>(),</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; tensorName + <span class="stringliteral">&quot; (GetNumBytes) data sizes do not match&quot;</span>);</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">if</span> (expectedPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>() == actualPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>())</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="comment">//check the data is identical</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; <span class="keyword">const</span> <span class="keywordtype">char</span>* expectedData = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">char</span>*<span class="keyword">&gt;</span>(expectedPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keyword">const</span> <span class="keywordtype">char</span>* actualData = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">char</span>*<span class="keyword">&gt;</span>(actualPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">GetMemoryArea</a>());</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; <span class="keywordtype">bool</span> same = <span class="keyword">true</span>;</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; expectedPtr-&gt;<a class="code" href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">GetNumBytes</a>(); ++i)</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; same = expectedData[i] == actualData[i];</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">if</span> (!same)</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; BOOST_CHECK_MESSAGE(same, tensorName + <span class="stringliteral">&quot; data does not match&quot;</span>);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; }</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_aa81f67ac64f0c249e26499600c45d996"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#aa81f67ac64f0c249e26499600c45d996">armnn::BaseTensor::GetMemoryArea</a></div><div class="ttdeci">MemoryType GetMemoryArea() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00292">Tensor.hpp:292</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00180">TypesUtils.hpp:180</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#a8aeddebdcf02e1832b22203c08a6b678">armnn::BaseTensor::GetInfo</a></div><div class="ttdeci">const TensorInfo &amp; GetInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00282">Tensor.hpp:282</a></div></div>
+<div class="ttc" id="classarmnn_1_1_base_tensor_xhtml_abcbdfb544ece4c31d0b37715ad0f3be0"><div class="ttname"><a href="classarmnn_1_1_base_tensor.xhtml#abcbdfb544ece4c31d0b37715ad0f3be0">armnn::BaseTensor::GetNumBytes</a></div><div class="ttdeci">unsigned int GetNumBytes() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00289">Tensor.hpp:289</a></div></div>
+</div><!-- fragment -->
+</div>
+</div>
+<a id="a56e5da77beb8c601e09bf78371b95828"></a>
+<h2 class="memtitle"><span class="permalink"><a href="#a56e5da77beb8c601e09bf78371b95828">&#9670;&nbsp;</a></span>VerifyNameAndConnections()</h2>
+
+<div class="memitem">
+<div class="memproto">
+<table class="mlabels">
+ <tr>
+ <td class="mlabels-left">
+ <table class="memname">
+ <tr>
+ <td class="memname">void VerifyNameAndConnections </td>
+ <td>(</td>
+ <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml">armnn::IConnectableLayer</a> *&#160;</td>
+ <td class="paramname"><em>layer</em>, </td>
+ </tr>
+ <tr>
+ <td class="paramkey"></td>
+ <td></td>
+ <td class="paramtype">const char *&#160;</td>
+ <td class="paramname"><em>name</em>&#160;</td>
+ </tr>
+ <tr>
+ <td></td>
+ <td>)</td>
+ <td></td><td></td>
+ </tr>
+ </table>
+ </td>
+ <td class="mlabels-right">
+<span class="mlabels"><span class="mlabel">protected</span></span> </td>
+ </tr>
+</table>
+</div><div class="memdoc">
+
+<p class="definition">Definition at line <a class="el" href="_serializer_test_utils_8cpp_source.xhtml#l00038">38</a> of file <a class="el" href="_serializer_test_utils_8cpp_source.xhtml">SerializerTestUtils.cpp</a>.</p>
+
+<p class="reference">References <a class="el" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">IInputSlot::GetConnection()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00194">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00180">armnn::GetDataTypeName()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">IConnectableLayer::GetNumInputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer::GetNumOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00469">TensorInfo::GetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00452">TensorInfo::GetQuantizationScale()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>.</p>
+
+<p class="reference">Referenced by <a class="el" href="_serializer_tests_8cpp_source.xhtml#l00228">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_lstm_serialization_tests_8cpp_source.xhtml#l00025">ConstantVector2LstmInputParams()</a>, <a class="el" href="_serializer_test_utils_8cpp_source.xhtml#l00019">ExecuteStrategy()</a>, <a class="el" href="_serializer_test_utils_8hpp_source.xhtml#l00061">LayerVerifierBaseWithDescriptor&lt; armnn::OriginsDescriptor &gt;::ExecuteStrategy()</a>, and <a class="el" href="_serializer_test_utils_8hpp_source.xhtml#l00118">LayerVerifierBaseWithDescriptorAndConstants&lt; Descriptor &gt;::ExecuteStrategy()</a>.</p>
+<div class="fragment"><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; BOOST_TEST(name == m_LayerName.c_str());</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; BOOST_TEST(layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>() == m_InputTensorInfos.size());</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; BOOST_TEST(layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() == m_OutputTensorInfos.size());</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; m_InputTensorInfos.size(); i++)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a>* connectedOutput = layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(i).<a class="code" href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>();</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; BOOST_CHECK(connectedOutput);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; connectedInfo = connectedOutput-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; BOOST_TEST(connectedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == m_InputTensorInfos[i].GetShape());</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; BOOST_TEST(</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(connectedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()) == <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(m_InputTensorInfos[i].GetDataType()));</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; BOOST_TEST(connectedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == m_InputTensorInfos[i].GetQuantizationScale());</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; BOOST_TEST(connectedInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == m_InputTensorInfos[i].GetQuantizationOffset());</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; m_OutputTensorInfos.size(); i++)</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; {</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>&amp; outputInfo = layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(i).<a class="code" href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; BOOST_TEST(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>() == m_OutputTensorInfos[i].GetShape());</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; BOOST_TEST(</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()) == <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(m_OutputTensorInfos[i].GetDataType()));</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; BOOST_TEST(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>() == m_OutputTensorInfos[i].GetQuantizationScale());</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; BOOST_TEST(outputInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>() == m_OutputTensorInfos[i].GetQuantizationOffset());</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; }</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_ac2dac3b61c94de52093616be4ab17f8d"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#ac2dac3b61c94de52093616be4ab17f8d">armnn::IConnectableLayer::GetNumOutputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumOutputSlots() const =0</div><div class="ttdoc">Returns the number of connectable output slots. </div></div>
+<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a9c2cba04b6d7ace4fc2a2436b82a5a63"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a9c2cba04b6d7ace4fc2a2436b82a5a63">armnn::IConnectableLayer::GetNumInputSlots</a></div><div class="ttdeci">virtual unsigned int GetNumInputSlots() const =0</div><div class="ttdoc">Returns the number of connectable input slots. </div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
+<div class="ttc" id="namespacearmnn_xhtml_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.xhtml#l00180">TypesUtils.hpp:180</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml">armnn::IOutputSlot</a></div><div class="ttdoc">An output connection slot for a layer. </div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.xhtml#l00038">INetwork.hpp:38</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00469">Tensor.cpp:469</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00452">Tensor.cpp:452</a></div></div>
+<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
+<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a6ec9e0eb66d7d6a01240492a0b18104c">armnn::IConnectableLayer::GetInputSlot</a></div><div class="ttdeci">virtual const IInputSlot &amp; GetInputSlot(unsigned int index) const =0</div><div class="ttdoc">Get a const input slot handle by slot index. </div></div>
+<div class="ttc" id="classarmnn_1_1_i_input_slot_xhtml_a81fbf6103761e55061b62ba989b00f10"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.xhtml#a81fbf6103761e55061b62ba989b00f10">armnn::IInputSlot::GetConnection</a></div><div class="ttdeci">virtual const IOutputSlot * GetConnection() const =0</div></div>
+<div class="ttc" id="classarmnn_1_1_i_output_slot_xhtml_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.xhtml#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo &amp; GetTensorInfo() const =0</div></div>
+<div class="ttc" id="classarmnn_1_1_i_connectable_layer_xhtml_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.xhtml#a80ac4eda2e7f2757ec9dd96fc96dbd16">armnn::IConnectableLayer::GetOutputSlot</a></div><div class="ttdeci">virtual const IOutputSlot &amp; GetOutputSlot(unsigned int index) const =0</div><div class="ttdoc">Get the const output slot handle by slot index. </div></div>
+</div><!-- fragment -->
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+<hr/>The documentation for this class was generated from the following files:<ul>
+<li>src/armnnSerializer/test/<a class="el" href="_serializer_test_utils_8hpp_source.xhtml">SerializerTestUtils.hpp</a></li>
+<li>src/armnnSerializer/test/<a class="el" href="_serializer_test_utils_8cpp_source.xhtml">SerializerTestUtils.cpp</a></li>
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+ <li class="navelem"><a class="el" href="class_layer_verifier_base.xhtml">LayerVerifierBase</a></li>
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+ <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
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