24.02/namespacearmnn__driver.html - ml/armnn - Gitiles

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 <div class="header">
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 <a href="#nested-classes">Classes</a> &#124;
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 <p>Helper classes.
 <a href="namespacearmnn__driver.html#details">More...</a></p>
 <table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
 Classes</h2></td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_device.html">ArmnnDevice</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_driver.html">ArmnnDriver</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_driver_impl.html">ArmnnDriverImpl</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_armnn_prepared_model.html">ArmnnPreparedModel</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn__driver_1_1_canonical_execution_context.html">CanonicalExecutionContext</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_converter.html">Converter</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_driver_options.html">DriverOptions</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_model_to_i_network_transformer.html">ModelToINetworkTransformer</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn__driver_1_1_unsupported_operand.html">UnsupportedOperand</a></td></tr>
 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table><table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
 Typedefs</h2></td></tr>
 <tr class="memitem:a34209101a89c1ae72081a0fb53725852"><td class="memTemplParams" colspan="2">template&lt;typename TensorType &gt; </td></tr>
 <tr class="memitem:a34209101a89c1ae72081a0fb53725852"><td class="memTemplItemLeft" align="right" valign="top">using&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a34209101a89c1ae72081a0fb53725852">DumpElementFunction</a> = void(*)(const TensorType &amp;tensor, unsigned int elementIndex, std::ofstream &amp;fileStream)</td></tr>
 <tr class="separator:a34209101a89c1ae72081a0fb53725852"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a923b39ec5f83672f50289cbaf5de6798"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> = ::android::nn::Model</td></tr>
 <tr class="memdesc:a923b39ec5f83672f50289cbaf5de6798"><td class="mdescLeft">&#160;</td><td class="mdescRight">Helper classes.  <a href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">More...</a><br /></td></tr>
 <tr class="separator:a923b39ec5f83672f50289cbaf5de6798"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> = ::android::nn::Operand</td></tr>
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 <tr class="separator:a275cd95635b854a80bb33f171d861ddc"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a53bfb6eb38a90244ba166b641a6965d9"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> = ::android::nn::OperandType</td></tr>
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 <tr class="separator:ace6b45d6363c32d1b93b7fce14bf6344"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a1fa5070fa0d079873acaf7581de8a2ad"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> = ::android::nn::ErrorStatus</td></tr>
 <tr class="separator:a1fa5070fa0d079873acaf7581de8a2ad"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a8932639a884a3dc698f29d4e8395ba49"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> = std::tuple&lt; std::unique_ptr&lt; float[]&gt;, size_t, <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>, <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a> &gt;</td></tr>
 <tr class="separator:a8932639a884a3dc698f29d4e8395ba49"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a0f38fa92b2468d5378258a2b074c1a31"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a> = half_float::half</td></tr>
 <tr class="separator:a0f38fa92b2468d5378258a2b074c1a31"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table><table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="enum-members"></a>
 Enumerations</h2></td></tr>
 <tr class="memitem:afa2a6d5a1431289c92cea9cceeb174c9"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9">ConversionResult</a> { <a class="el" href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38">Success</a>,
 <a class="el" href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">ErrorMappingPools</a>,
 <a class="el" href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">UnsupportedFeature</a>
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 <tr class="separator:afa2a6d5a1431289c92cea9cceeb174c9"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a10c64daf22426af432d0a9ada03eee5c"><td class="memItemLeft" align="right" valign="top">enum &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a> { <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>,
 <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>,
 <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a>
  }</td></tr>
 <tr class="separator:a10c64daf22426af432d0a9ada03eee5c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 </table><table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
 Functions</h2></td></tr>
 <tr class="memitem:a5665b88a0b22c6341dd8075048981689"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a5665b88a0b22c6341dd8075048981689">SwizzleAndroidNn4dTensorToArmNn</a> (<a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;tensor, const void *input, void *output, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;mappings)</td></tr>
 <tr class="memdesc:a5665b88a0b22c6341dd8075048981689"><td class="mdescLeft">&#160;</td><td class="mdescRight">Swizzles tensor data in <em>input</em> according to the dimension mappings.  <a href="namespacearmnn__driver.html#a5665b88a0b22c6341dd8075048981689">More...</a><br /></td></tr>
 <tr class="separator:a5665b88a0b22c6341dd8075048981689"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a96666c2945d7fe8c34aee30a449287d5"><td class="memItemLeft" align="right" valign="top">void *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a> (DataLocation location, const std::vector&lt; android::nn::RunTimePoolInfo &gt; &amp;memPools)</td></tr>
 <tr class="memdesc:a96666c2945d7fe8c34aee30a449287d5"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns a pointer to a specific location in a pool`.  <a href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">More...</a><br /></td></tr>
 <tr class="separator:a96666c2945d7fe8c34aee30a449287d5"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a915f2652854e417e26afc297f12e107c"><td class="memItemLeft" align="right" valign="top">void *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a915f2652854e417e26afc297f12e107c">GetMemoryFromPointer</a> (const Request::Argument &amp;requestArg)</td></tr>
 <tr class="separator:a915f2652854e417e26afc297f12e107c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a93f4874062e34819806d36b74c73dc61"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a> (const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;operand)</td></tr>
 <tr class="separator:a93f4874062e34819806d36b74c73dc61"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:ac0532f3c7d143a04aee7f5991ee5d381"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a> (const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;operand)</td></tr>
 <tr class="separator:ac0532f3c7d143a04aee7f5991ee5d381"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:aa25bddb175983b2d3e0965440323d789"><td class="memTemplParams" colspan="2">template&lt;typename TensorType &gt; </td></tr>
 <tr class="memitem:aa25bddb175983b2d3e0965440323d789"><td class="memTemplItemLeft" align="right" valign="top">void&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">DumpTensor</a> (const std::string &amp;dumpDir, const std::string &amp;requestName, const std::string &amp;tensorName, const TensorType &amp;tensor)</td></tr>
 <tr class="separator:aa25bddb175983b2d3e0965440323d789"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a46cd012184b5106f810f5b6ea75863c4"><td class="memItemLeft" align="right" valign="top">template void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a46cd012184b5106f810f5b6ea75863c4">DumpTensor&lt; armnn::ConstTensor &gt;</a> (const std::string &amp;dumpDir, const std::string &amp;requestName, const std::string &amp;tensorName, const <a class="el" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> &amp;tensor)</td></tr>
 <tr class="separator:a46cd012184b5106f810f5b6ea75863c4"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a533bbc27789ba037d6f6b75f58624567"><td class="memItemLeft" align="right" valign="top">template void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a533bbc27789ba037d6f6b75f58624567">DumpTensor&lt; armnn::Tensor &gt;</a> (const std::string &amp;dumpDir, const std::string &amp;requestName, const std::string &amp;tensorName, const <a class="el" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> &amp;tensor)</td></tr>
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 <tr class="memitem:aa313ae79f70102e3451d45d3387c2e46"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#aa313ae79f70102e3451d45d3387c2e46">DumpJsonProfilingIfRequired</a> (bool gpuProfilingEnabled, const std::string &amp;dumpDir, <a class="el" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId, const <a class="el" href="classarmnn_1_1_i_profiler.html">armnn::IProfiler</a> *profiler)</td></tr>
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 <tr class="memitem:a31f074135a3dba97d9baf1dffd0a07fd"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a31f074135a3dba97d9baf1dffd0a07fd">SerializeNetwork</a> (const <a class="el" href="classarmnn_1_1_i_network.html">armnn::INetwork</a> &amp;network, const std::string &amp;dumpDir, std::vector&lt; uint8_t &gt; &amp;dataCacheData, bool dataCachingActive)</td></tr>
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 <tr class="memdesc:a208149d5c08f84debf8b265bb508fe02"><td class="mdescLeft">&#160;</td><td class="mdescRight">Checks if a tensor info represents a dynamic tensor.  <a href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">More...</a><br /></td></tr>
 <tr class="separator:a208149d5c08f84debf8b265bb508fe02"><td class="memSeparator" colspan="2">&#160;</td></tr>
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 <tr class="memdesc:a85d53debffd9611a3b5bc6031afd5073"><td class="mdescLeft">&#160;</td><td class="mdescRight">Checks for ArmNN support of dynamic tensors.  <a href="namespacearmnn__driver.html#a85d53debffd9611a3b5bc6031afd5073">More...</a><br /></td></tr>
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 <tr class="memitem:ab3c135a0d4b1152f6b989ea6afddd6bc"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#ab3c135a0d4b1152f6b989ea6afddd6bc">isQuantizedOperand</a> (const <a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> &amp;operandType)</td></tr>
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 <tr class="memitem:a3d30e31a46482fbc714fc34e0d5a1c90"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a3d30e31a46482fbc714fc34e0d5a1c90">RenameExportedFiles</a> (const std::string &amp;existingSerializedFileName, const std::string &amp;existingDotFileName, const std::string &amp;dumpDir, const <a class="el" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a> networkId)</td></tr>
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 <tr class="memdesc:ae780aad3075e52e802f9c0ed5d88e570"><td class="mdescLeft">&#160;</td><td class="mdescRight">Utility functions.  <a href="namespacearmnn__driver.html#ae780aad3075e52e802f9c0ed5d88e570">More...</a><br /></td></tr>
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 <tr class="memitem:a82e85436d5f7cbfa90e8ab521bddae31"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a82e85436d5f7cbfa90e8ab521bddae31">ConvertOperandToConstTensorPin</a> (const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;operand, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;dimensionMappings, const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> *overrideTensorShape, bool optional, const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> *overrideDataType)</td></tr>
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 <tr class="memitem:a78a9a9f196810df6bc4795568f275c75"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn__driver.html#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a78a9a9f196810df6bc4795568f275c75">DequantizeIfRequired</a> (size_t operand_index, const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data)</td></tr>
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 <tr class="memitem:a8d20245b5ca3cbb0b132064ab44f2682"><td class="memItemLeft" align="right" valign="top">const void *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a> (const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;operand, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data, bool optional)</td></tr>
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 <tr class="memitem:a3f3a756df9dee4b33566cddd786b83c9"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a3f3a756df9dee4b33566cddd786b83c9">OptionalDataLayout</a> (const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data)</td></tr>
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 <tr class="memitem:a14977f94479f2f7e13bdf915ac8ce8d0"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a> (const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, bool failOnIndexOutOfBounds=true)</td></tr>
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 <tr class="memitem:a5890dee5ebd8c09d4b3787136d8170d8"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> *&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a> (const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, uint32_t outputIndex, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model)</td></tr>
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 <tr class="memitem:a8c749c18e62c59a5c1254aac342c995a"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a8c749c18e62c59a5c1254aac342c995a">ConvertOperationInputToConstTensorPin</a> (const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;dimensionMappings=<a class="el" href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>, const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> *overrideTensorShape=nullptr, bool optional=false)</td></tr>
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 <tr class="memitem:abf92490dc588f48af86fc12184841fd5"><td class="memTemplParams" colspan="2">template&lt;typename OutputType &gt; </td></tr>
 <tr class="memitem:abf92490dc588f48af86fc12184841fd5"><td class="memTemplItemLeft" align="right" valign="top">bool&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a> (const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, uint32_t inputIndex, <a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> type, OutputType &amp;outValue, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data, bool optional=false)</td></tr>
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 <tr class="memitem:acfe37581bc8296b5d4cdb311b1e3f142"><td class="memTemplParams" colspan="2">template&lt;typename ConvolutionDescriptor &gt; </td></tr>
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 <tr class="memitem:ae28f9841f6cb1775849b7921b54da32e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#ae28f9841f6cb1775849b7921b54da32e">GetOptionalBool</a> (const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, uint32_t inputIndex, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data)</td></tr>
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 <tr class="memitem:ad8f11d121a42a43f14c18bdb10f14b9e"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#ad8f11d121a42a43f14c18bdb10f14b9e">SetupAndTrackLayerOutputSlot</a> (const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;operation, uint32_t outputIndex, <a class="el" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> &amp;layer, const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;model, <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;data, const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> *overrideOutputInfo=nullptr, const std::function&lt; void(const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;, bool &amp;)&gt; &amp;validateFunc=nullptr, const ActivationFn &amp;activationFunction=ActivationFn::kActivationNone)</td></tr>
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 <tr class="memitem:a267f6b68937e2126b6ca890a6b11ea9c"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#a267f6b68937e2126b6ca890a6b11ea9c">IsQSymm8</a> (const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;operand)</td></tr>
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 </table><table class="memberdecls">
 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
 Variables</h2></td></tr>
 <tr class="memitem:ae059aea66ee0867a204aa2f2d9abb42c"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a> {}</td></tr>
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 </table>
 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 <div class="textblock"><p>Helper classes. </p>
 </div><h2 class="groupheader">Typedef Documentation</h2>
 <a id="a8932639a884a3dc698f29d4e8395ba49"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a8932639a884a3dc698f29d4e8395ba49">&#9670;&nbsp;</a></span>DequantizeResult</h2>

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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> =  std::tuple&lt;std::unique_ptr&lt;float[]&gt;, size_t, <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>, <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a>&gt;</td>
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 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l01047">1047</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

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 <a id="a34209101a89c1ae72081a0fb53725852"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a34209101a89c1ae72081a0fb53725852">&#9670;&nbsp;</a></span>DumpElementFunction</h2>

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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#a34209101a89c1ae72081a0fb53725852">DumpElementFunction</a> =  void (*)(const TensorType&amp; tensor, unsigned int elementIndex, std::ofstream&amp; fileStream)</td>
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 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00206">206</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>

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 <a id="a1fa5070fa0d079873acaf7581de8a2ad"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a1fa5070fa0d079873acaf7581de8a2ad">&#9670;&nbsp;</a></span>ErrorStatus</h2>

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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#a1fa5070fa0d079873acaf7581de8a2ad">ErrorStatus</a> =  ::android::nn::ErrorStatus</td>
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       </table>
 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00051">51</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

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 <a id="a0f38fa92b2468d5378258a2b074c1a31"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a0f38fa92b2468d5378258a2b074c1a31">&#9670;&nbsp;</a></span>Half</h2>

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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a> =  half_float::half</td>
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 <p class="definition">Definition at line <a class="el" href="_converter_8cpp_source.html#l00015">15</a> of file <a class="el" href="_converter_8cpp_source.html">Converter.cpp</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a923b39ec5f83672f50289cbaf5de6798">&#9670;&nbsp;</a></span>Model</h2>

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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> =  ::android::nn::Model</td>
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 </div><div class="memdoc">

 <p>Helper classes. </p>

 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00045">45</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

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 <div class="memproto">
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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> =  ::android::nn::Operand</td>
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 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00046">46</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

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 <a id="a275cd95635b854a80bb33f171d861ddc"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a275cd95635b854a80bb33f171d861ddc">&#9670;&nbsp;</a></span>OperandLifeTime</h2>

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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#a275cd95635b854a80bb33f171d861ddc">OperandLifeTime</a> =  ::android::nn::Operand::LifeTime</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00047">47</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

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 <a id="a53bfb6eb38a90244ba166b641a6965d9"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a53bfb6eb38a90244ba166b641a6965d9">&#9670;&nbsp;</a></span>OperandType</h2>

 <div class="memitem">
 <div class="memproto">
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         <tr>
           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> =  ::android::nn::OperandType</td>
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 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00048">48</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

 </div>
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 <a id="ad3a9c1424b37970a54624f514196b985"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#ad3a9c1424b37970a54624f514196b985">&#9670;&nbsp;</a></span>Operation</h2>

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 <div class="memproto">
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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> =  ::android::nn::Operation</td>
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       </table>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00049">49</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#ace6b45d6363c32d1b93b7fce14bf6344">&#9670;&nbsp;</a></span>OperationType</h2>

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           <td class="memname">using <a class="el" href="namespacearmnn__driver.html#ace6b45d6363c32d1b93b7fce14bf6344">OperationType</a> =  ::android::nn::OperationType</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00050">50</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>

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 <h2 class="groupheader">Enumeration Type Documentation</h2>
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 <h2 class="memtitle"><span class="permalink"><a href="#afa2a6d5a1431289c92cea9cceeb174c9">&#9670;&nbsp;</a></span>ConversionResult</h2>

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 <tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="afa2a6d5a1431289c92cea9cceeb174c9a505a83f220c02df2f85c3810cd9ceb38"></a>Success&#160;</td><td class="fielddoc"></td></tr>
 <tr><td class="fieldname"><a id="afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b"></a>ErrorMappingPools&#160;</td><td class="fielddoc"></td></tr>
 <tr><td class="fieldname"><a id="afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527"></a>UnsupportedFeature&#160;</td><td class="fielddoc"></td></tr>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00127">127</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div>
 <div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">Success</a>,</div>
 <div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;    <a class="code" href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">ErrorMappingPools</a>,</div>
 <div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <a class="code" href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">UnsupportedFeature</a></div>
 <div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;};</div>
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 <h2 class="memtitle"><span class="permalink"><a href="#a10c64daf22426af432d0a9ada03eee5c">&#9670;&nbsp;</a></span>DequantizeStatus</h2>

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 <tr><th colspan="2">Enumerator</th></tr><tr><td class="fieldname"><a id="a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c"></a>SUCCESS&#160;</td><td class="fielddoc"></td></tr>
 <tr><td class="fieldname"><a id="a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7"></a>NOT_REQUIRED&#160;</td><td class="fielddoc"></td></tr>
 <tr><td class="fieldname"><a id="a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043"></a>INVALID_OPERAND&#160;</td><td class="fielddoc"></td></tr>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l01040">1040</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160;{</div>
 <div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>,</div>
 <div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>,</div>
 <div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a></div>
 <div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;};</div>
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 <h2 class="memtitle"><span class="permalink"><a href="#a85d53debffd9611a3b5bc6031afd5073">&#9670;&nbsp;</a></span>AreDynamicTensorsSupported()</h2>

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           <td class="memname">bool AreDynamicTensorsSupported </td>
           <td>(</td>
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 <p>Checks for ArmNN support of dynamic tensors. </p>

 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00505">505</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00506"></a><span class="lineno">  506</span>&#160;{</div>
 <div class="line"><a name="l00507"></a><span class="lineno">  507</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00508"></a><span class="lineno">  508</span>&#160;}</div>
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 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00604">ConvertToActivation()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a7c1c80ee0f432b6b621c40571410195a">&#9670;&nbsp;</a></span>CommitPools()</h2>

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           <td class="memname">void CommitPools </td>
           <td>(</td>
           <td class="paramtype">std::vector&lt;::android::nn::RunTimePoolInfo &gt; &amp;&#160;</td>
           <td class="paramname"><em>memPools</em></td><td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00615">615</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;{</div>
 <div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;    <span class="comment">// Commit output buffers.</span></div>
 <div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    <span class="comment">// Note that we update *all* pools, even if they aren&#39;t actually used as outputs -</span></div>
 <div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;    <span class="comment">// this is simpler and is what the CpuExecutor does.</span></div>
 <div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span>&amp; pool : memPools)</div>
 <div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160;    {</div>
 <div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;        <span class="comment">// Type android::nn::RunTimePoolInfo has changed between Android P &amp; Q and Android R, where</span></div>
 <div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160;        <span class="comment">// update() has been removed and flush() added.</span></div>
 <div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;        pool.flush();</div>
 <div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;    }</div>
 <div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;}</div>
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 <p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.html#l00374">ArmnnPreparedModel::ExecuteGraph()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a93d7282d7b5701a723304d87fcdc3a43">&#9670;&nbsp;</a></span>ComputeShape()</h2>

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           <td class="memname">OutputShape armnn_driver::ComputeShape </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
           <td class="paramname"><em>info</em></td><td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8hpp_source.html#l00095">95</a> of file <a class="el" href="_canonical_utils_8hpp_source.html">CanonicalUtils.hpp</a>.</p>
 <div class="fragment"><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;    OutputShape shape;</div>
 <div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160; </div>
 <div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> tensorShape = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetShape();</div>
 <div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="comment">// Android will expect scalars as a zero dimensional tensor</span></div>
 <div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <span class="keywordflow">if</span>(tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() == <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a>)</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;         shape.dimensions = std::vector&lt;uint32_t&gt;{};</div>
 <div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    }</div>
 <div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    {</div>
 <div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        std::vector&lt;uint32_t&gt; dimensions;</div>
 <div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
 <div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        dimensions.resize(numDims);</div>
 <div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputIdx = 0u; outputIdx &lt; numDims; ++outputIdx)</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;            dimensions[outputIdx] = tensorShape[outputIdx];</div>
 <div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;        }</div>
 <div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        shape.dimensions = dimensions;</div>
 <div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;    }</div>
 <div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160; </div>
 <div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    shape.isSufficient = <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160; </div>
 <div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keywordflow">return</span> shape;</div>
 <div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;}</div>
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 <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00092">TensorShape::GetDimensionality()</a>, <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, and <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.html#l00294">ArmnnPreparedModel::execute()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a82e85436d5f7cbfa90e8ab521bddae31">&#9670;&nbsp;</a></span>ConvertOperandToConstTensorPin()</h2>

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           <td class="memname"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a> ConvertOperandToConstTensorPin </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;&#160;</td>
           <td class="paramname"><em>operand</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;&#160;</td>
           <td class="paramname"><em>dimensionMappings</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> *&#160;</td>
           <td class="paramname"><em>overrideTensorShape</em>, </td>
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           <td class="paramname"><em>optional</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> *&#160;</td>
           <td class="paramname"><em>overrideDataType</em>&#160;</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00166">166</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;{</div>
 <div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;    <span class="keywordflow">if</span> (!IsOperandTypeSupportedForTensors(operand.type))</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;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: unsupported operand type for tensor&quot;</span> &lt;&lt; operand.type;</div>
 <div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>();</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; </div>
 <div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;    <span class="keywordflow">if</span> (!optional &amp;&amp; !<a class="code" href="namespacearmnn__driver.html#a9ddfceb499ef7b3d01053399bc79b852">IsOperandConstant</a>(operand))</div>
 <div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    {</div>
 <div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: lifetime for input tensor: r&quot;</span> &lt;&lt; operand.lifetime;</div>
 <div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>();</div>
 <div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    }</div>
 <div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160; </div>
 <div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span>* <span class="keyword">const</span> valueStart = <a class="code" href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(operand, model, data, optional);</div>
 <div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    <span class="keywordflow">if</span> (!valueStart)</div>
 <div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    {</div>
 <div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;        <span class="keywordflow">if</span> (optional)</div>
 <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;            <span class="comment">// optional tensor with no values is not really an error; return it as invalid, but marked as optional</span></div>
 <div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>(<span class="keyword">true</span>);</div>
 <div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;        }</div>
 <div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;        <span class="comment">// mandatory tensor with no values</span></div>
 <div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;        Fail(<span class="stringliteral">&quot;%s: failed to get operand address&quot;</span>, __func__);</div>
 <div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>();</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; </div>
 <div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> tensorInfo = <a class="code" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(operand);</div>
 <div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160; </div>
 <div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    <span class="keywordflow">if</span> (overrideTensorShape)</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;        tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">SetShape</a>(*overrideTensorShape);</div>
 <div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;    }</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;    <span class="keywordflow">if</span> (overrideDataType)</div>
 <div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;    {</div>
 <div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;        tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">SetDataType</a>(*overrideDataType);</div>
 <div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;    }</div>
 <div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160; </div>
 <div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;    <span class="comment">// Make sure isConstant flag is set.</span></div>
 <div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;    tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>();</div>
 <div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>(tensorInfo, valueStart, operand.location.length, dimensionMappings);</div>
 <div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.html#l00798">GetOperandValueReadOnlyAddress()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00731">IsOperandConstant()</a>, <a class="el" href="_tensor_8cpp_source.html#l00514">TensorInfo::SetConstant()</a>, <a class="el" href="_tensor_8hpp_source.html#l00201">TensorInfo::SetDataType()</a>, and <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8hpp_source.html#l00751">ConvertOperationInputToConstTensorPin()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00216">ConvertToLayerInputHandle()</a>.</p>

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 <a id="a8c749c18e62c59a5c1254aac342c995a"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a8c749c18e62c59a5c1254aac342c995a">&#9670;&nbsp;</a></span>ConvertOperationInputToConstTensorPin()</h2>

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           <td class="memname"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a> armnn_driver::ConvertOperationInputToConstTensorPin </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;&#160;</td>
           <td class="paramname"><em>dimensionMappings</em> = <code><a class="el" href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a></code>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> *&#160;</td>
           <td class="paramname"><em>overrideTensorShape</em> = <code>nullptr</code>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>optional</em> = <code>false</code>&#160;</td>
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           <td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00751">751</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160;{</div>
 <div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div>
 <div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;    <span class="keywordflow">if</span> (!operand)</div>
 <div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;    {</div>
 <div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;        Fail(<span class="stringliteral">&quot;%s: failed to get input operand: index=%u&quot;</span>, __func__, inputIndex);</div>
 <div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>();</div>
 <div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;    }</div>
 <div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#a82e85436d5f7cbfa90e8ab521bddae31">ConvertOperandToConstTensorPin</a>(*operand,</div>
 <div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;                                          model,</div>
 <div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;                                          data,</div>
 <div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;                                          dimensionMappings,</div>
 <div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;                                          overrideTensorShape,</div>
 <div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;                                          optional);</div>
 <div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.html#l00166">ConvertOperandToConstTensorPin()</a>, and <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00752">DequantizeAndMakeConstTensorPin()</a>.</p>

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 <a id="a8d4f662a4fb5b9272724bdaeacbd370a"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a8d4f662a4fb5b9272724bdaeacbd370a">&#9670;&nbsp;</a></span>ConvertPaddings()</h2>

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           <td class="memname">bool ConvertPaddings </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">unsigned int&#160;</td>
           <td class="paramname"><em>rank</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn_1_1_pad_descriptor.html">armnn::PadDescriptor</a> &amp;&#160;</td>
           <td class="paramname"><em>padDescriptor</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00350">350</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</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;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* paddingsOperand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, 1, model);</div>
 <div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    <span class="keywordflow">if</span> (!paddingsOperand)</div>
 <div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    {</div>
 <div class="line"><a name="l00359"></a><span class="lineno">  359</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Could not read paddings operand&quot;</span>, __func__);</div>
 <div class="line"><a name="l00360"></a><span class="lineno">  360</span>&#160;    }</div>
 <div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160; </div>
 <div class="line"><a name="l00362"></a><span class="lineno">  362</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> paddingsOperandShape = GetTensorShapeForOperand(*paddingsOperand);</div>
 <div class="line"><a name="l00363"></a><span class="lineno">  363</span>&#160;    <span class="keywordflow">if</span> (paddingsOperandShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != 2 || paddingsOperandShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() != rank * 2)</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;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation has invalid paddings operand: expected shape [%d, 2]&quot;</span>,  __func__, rank);</div>
 <div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;    }</div>
 <div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160; </div>
 <div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160;    std::vector&lt;int32_t&gt; paddings;</div>
 <div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;    <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#ac8643aaee3eafc54336c5462b51bd53f">GetTensorInt32Values</a>(*paddingsOperand, paddings, model, data))</div>
 <div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;    {</div>
 <div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation has invalid or unsupported paddings operand&quot;</span>, __func__);</div>
 <div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    }</div>
 <div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160; </div>
 <div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    <span class="comment">// add padding for each dimension of input tensor.</span></div>
 <div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; paddings.size() - 1; i += 2)</div>
 <div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    {</div>
 <div class="line"><a name="l00377"></a><span class="lineno">  377</span>&#160;        <span class="keywordtype">int</span> paddingBeforeInput = paddings[i];</div>
 <div class="line"><a name="l00378"></a><span class="lineno">  378</span>&#160;        <span class="keywordtype">int</span> paddingAfterInput  = paddings[i + 1];</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">if</span> (paddingBeforeInput &lt; 0 || paddingAfterInput &lt; 0)</div>
 <div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160;        {</div>
 <div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;            <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation has invalid paddings operand, invalid padding values.&quot;</span>,  __func__);</div>
 <div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;        }</div>
 <div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160; </div>
 <div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;        padDescriptor.<a class="code" href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">m_PadList</a>.emplace_back((<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>) paddingBeforeInput, (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>) paddingAfterInput);</div>
 <div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    }</div>
 <div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160; </div>
 <div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>, <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_tensor_8cpp_source.html#l00181">TensorShape::GetNumElements()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00843">GetTensorInt32Values()</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01218">PadDescriptor::m_PadList</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a2eb75cb48464cf87c290503d7bea79a4">&#9670;&nbsp;</a></span>ConvertPooling2d()</h2>

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           <td class="memname">bool ConvertPooling2d </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const char *&#160;</td>
           <td class="paramname"><em>operationName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="namespacearmnn.html#a961bbfe1db71a848eff5a1f0ab775718">armnn::PoolingAlgorithm</a>&#160;</td>
           <td class="paramname"><em>poolType</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00392">392</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;{</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;    VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Converter::ConvertL2Pool2d()&quot;</span>;</div>
 <div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160; </div>
 <div class="line"><a name="l00401"></a><span class="lineno">  401</span>&#160;    <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a> input = <a class="code" href="namespacearmnn__driver.html#a1f6b85ab26d684241babcde2d659116b">ConvertToLayerInputHandle</a>(operation, 0, model, data);</div>
 <div class="line"><a name="l00402"></a><span class="lineno">  402</span>&#160;    <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>())</div>
 <div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    {</div>
 <div class="line"><a name="l00404"></a><span class="lineno">  404</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation Could not read input 0&quot;</span>, operationName);</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; </div>
 <div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* output = <a class="code" href="namespacearmnn__driver.html#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, 0, model);</div>
 <div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;    <span class="keywordflow">if</span> (!output)</div>
 <div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    {</div>
 <div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Could not read output 0&quot;</span>, __func__);</div>
 <div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    }</div>
 <div class="line"><a name="l00412"></a><span class="lineno">  412</span>&#160; </div>
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 <div class="line"><a name="l00414"></a><span class="lineno">  414</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outputInfo = <a class="code" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*output);</div>
 <div class="line"><a name="l00415"></a><span class="lineno">  415</span>&#160; </div>
 <div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    <a class="code" href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a> desc;</div>
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 <div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160;    desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#affb5b68b3eba3ed45a06c7cde7781962">m_OutputShapeRounding</a> = <a class="code" href="namespacearmnn.html#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a>;</div>
 <div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;    desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div>
 <div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160; </div>
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 <div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160; </div>
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 <div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160; </div>
 <div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;    <span class="keywordflow">if</span> (inputSize &gt;= 10)</div>
 <div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;    {</div>
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 <div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 2, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>, model, data) ||</div>
 <div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 3, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>, model, data) ||</div>
 <div class="line"><a name="l00431"></a><span class="lineno">  431</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 4, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>, model, data) ||</div>
 <div class="line"><a name="l00432"></a><span class="lineno">  432</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 5, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, model, data) ||</div>
 <div class="line"><a name="l00433"></a><span class="lineno">  433</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 6, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, model, data) ||</div>
 <div class="line"><a name="l00434"></a><span class="lineno">  434</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 7, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>, model, data) ||</div>
 <div class="line"><a name="l00435"></a><span class="lineno">  435</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 8, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>, model, data) ||</div>
 <div class="line"><a name="l00436"></a><span class="lineno">  436</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#ac092fff5c81f7938eea9a2479f014c66">GetInputActivationFunction</a>(operation, 9, activation, model, data))</div>
 <div class="line"><a name="l00437"></a><span class="lineno">  437</span>&#160;        {</div>
 <div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;            <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation has invalid inputs&quot;</span>, operationName);</div>
 <div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;        }</div>
 <div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160; </div>
 <div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;        <span class="keywordflow">if</span> (Is12OrLaterOperand(*output))</div>
 <div class="line"><a name="l00442"></a><span class="lineno">  442</span>&#160;        {</div>
 <div class="line"><a name="l00443"></a><span class="lineno">  443</span>&#160;            desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn__driver.html#a3f3a756df9dee4b33566cddd786b83c9">OptionalDataLayout</a>(operation, 10, model, data);</div>
 <div class="line"><a name="l00444"></a><span class="lineno">  444</span>&#160;        }</div>
 <div class="line"><a name="l00445"></a><span class="lineno">  445</span>&#160;    }</div>
 <div class="line"><a name="l00446"></a><span class="lineno">  446</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;    {</div>
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 <div class="line"><a name="l00449"></a><span class="lineno">  449</span>&#160;        ::android::nn::PaddingScheme scheme;</div>
 <div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;        <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#aa9ef723ace8562b9636e8387a120fbde">GetInputPaddingScheme</a>(operation, 1, scheme, model, data) ||</div>
 <div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 2, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, model, data) ||</div>
 <div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 3, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, model, data) ||</div>
 <div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 4, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>, model, data) ||</div>
 <div class="line"><a name="l00454"></a><span class="lineno">  454</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 5, OperandType::INT32, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>, model, data) ||</div>
 <div class="line"><a name="l00455"></a><span class="lineno">  455</span>&#160;            !<a class="code" href="namespacearmnn__driver.html#ac092fff5c81f7938eea9a2479f014c66">GetInputActivationFunction</a>(operation, 6, activation, model, data))</div>
 <div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;        {</div>
 <div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;            <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation has invalid inputs&quot;</span>, operationName);</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; </div>
 <div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;        <span class="keywordflow">if</span> (Is12OrLaterOperand(*output))</div>
 <div class="line"><a name="l00461"></a><span class="lineno">  461</span>&#160;        {</div>
 <div class="line"><a name="l00462"></a><span class="lineno">  462</span>&#160;            desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6089e1ca91914015777ea780a513131a">m_DataLayout</a> = <a class="code" href="namespacearmnn__driver.html#a3f3a756df9dee4b33566cddd786b83c9">OptionalDataLayout</a>(operation, 7, model, data);</div>
 <div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;        }</div>
 <div class="line"><a name="l00464"></a><span class="lineno">  464</span>&#160; </div>
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 <div class="line"><a name="l00466"></a><span class="lineno">  466</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputWidth  = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dataLayout.GetWidthIndex()];</div>
 <div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputHeight = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[dataLayout.GetHeightIndex()];</div>
 <div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160; </div>
 <div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;        CalcPadding(inputWidth, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a6d8fb685cc1ff224f25aa127fcf62c86">m_PoolWidth</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">m_StrideX</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">m_PadLeft</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">m_PadRight</a>, scheme);</div>
 <div class="line"><a name="l00470"></a><span class="lineno">  470</span>&#160;        CalcPadding(inputHeight, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a5699e8606c37d18c03910b242cd1b010">m_PoolHeight</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">m_StrideY</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">m_PadTop</a>, desc.<a class="code" href="structarmnn_1_1_pooling2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">m_PadBottom</a>, scheme);</div>
 <div class="line"><a name="l00471"></a><span class="lineno">  471</span>&#160;    }</div>
 <div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160; </div>
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 <div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;    <span class="keyword">auto</span> validateFunc = [&amp;](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outputInfo, <span class="keywordtype">bool</span>&amp; isSupported)</div>
 <div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;    {</div>
 <div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;        <a class="code" href="_conversion_utils_8hpp.html#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div>
 <div class="line"><a name="l00478"></a><span class="lineno">  478</span>&#160;                                   IsPooling2dSupported,</div>
 <div class="line"><a name="l00479"></a><span class="lineno">  479</span>&#160;                                   data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div>
 <div class="line"><a name="l00480"></a><span class="lineno">  480</span>&#160;                                   isSupported,</div>
 <div class="line"><a name="l00481"></a><span class="lineno">  481</span>&#160;                                   setBackend,</div>
 <div class="line"><a name="l00482"></a><span class="lineno">  482</span>&#160;                                   inputInfo,</div>
 <div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;                                   outputInfo,</div>
 <div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;                                   desc);</div>
 <div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160; </div>
 <div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;    };</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;    <span class="keywordflow">if</span>(<a class="code" href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outputInfo))</div>
 <div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;    {</div>
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 <div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;    {</div>
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 <div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;    }</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;    <span class="keywordflow">if</span> (!isSupported)</div>
 <div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;    {</div>
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 <div class="line"><a name="l00509"></a><span class="lineno">  509</span>&#160;    input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#a9b63bdf08709bc5302b3c1a9198d06a3">Connect</a>(pooling2dLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div>
 <div class="line"><a name="l00510"></a><span class="lineno">  510</span>&#160; </div>
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 <div class="line"><a name="l00518"></a><span class="lineno">  518</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.html#l00505">AreDynamicTensorsSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00033">LayerInputHandle::Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">ConvertToLayerInputHandle()</a>, <a class="el" href="namespacearmnn.html#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::Floor</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00155">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00024">DataLayoutIndexed::GetHeightIndex()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00856">GetInputActivationFunction()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00782">GetInputPaddingScheme()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00688">GetOutputOperand()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00057">LayerInputHandle::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">DataLayoutIndexed::GetWidthIndex()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00491">IsDynamicTensor()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00028">LayerInputHandle::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00061">ConversionData::m_Backends</a>, <a class="el" href="_descriptors_8hpp_source.html#l00427">Pooling2dDescriptor::m_DataLayout</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00062">ConversionData::m_Network</a>, <a class="el" href="_descriptors_8hpp_source.html#l00423">Pooling2dDescriptor::m_OutputShapeRounding</a>, <a class="el" href="_descriptors_8hpp_source.html#l00413">Pooling2dDescriptor::m_PadBottom</a>, <a class="el" href="_descriptors_8hpp_source.html#l00407">Pooling2dDescriptor::m_PadLeft</a>, <a class="el" href="_descriptors_8hpp_source.html#l00409">Pooling2dDescriptor::m_PadRight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00411">Pooling2dDescriptor::m_PadTop</a>, <a class="el" href="_descriptors_8hpp_source.html#l00417">Pooling2dDescriptor::m_PoolHeight</a>, <a class="el" href="_descriptors_8hpp_source.html#l00405">Pooling2dDescriptor::m_PoolType</a>, <a class="el" href="_descriptors_8hpp_source.html#l00415">Pooling2dDescriptor::m_PoolWidth</a>, <a class="el" href="_descriptors_8hpp_source.html#l00419">Pooling2dDescriptor::m_StrideX</a>, <a class="el" href="_descriptors_8hpp_source.html#l00421">Pooling2dDescriptor::m_StrideY</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00874">OptionalDataLayout()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

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 <a id="a3f6b313fd199d1552844f3f95fd25cd2"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a3f6b313fd199d1552844f3f95fd25cd2">&#9670;&nbsp;</a></span>ConvertReduce()</h2>

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 <div class="memproto">
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           <td class="memname">bool ConvertReduce </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="namespacearmnn.html#abc05539fc6e7907f32ef0fb242e3b3b0">armnn::ReduceOperation</a>&#160;</td>
           <td class="paramname"><em>reduceOperation</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00520">520</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;{</div>
 <div class="line"><a name="l00525"></a><span class="lineno">  525</span>&#160;    <a class="code" href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a> descriptor;</div>
 <div class="line"><a name="l00526"></a><span class="lineno">  526</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa57c67b1da0011b1abb30170146e870f">m_ReduceOperation</a> = reduceOperation;</div>
 <div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160; </div>
 <div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;    <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a> input = <a class="code" href="namespacearmnn__driver.html#a1f6b85ab26d684241babcde2d659116b">ConvertToLayerInputHandle</a>(operation, 0, model, data);</div>
 <div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160;    <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>())</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;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation has invalid inputs&quot;</span>, __func__);</div>
 <div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;    }</div>
 <div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; inputInfo = input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#acbafd23115b06f0a82eab45bd1e3cff9">GetTensorInfo</a>();</div>
 <div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160; </div>
 <div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* output = <a class="code" href="namespacearmnn__driver.html#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, 0, model);</div>
 <div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;    <span class="keywordflow">if</span> (!output)</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;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Could not read output 0&quot;</span>, __func__);</div>
 <div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;    }</div>
 <div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outputInfo = <a class="code" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*output);</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;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* axisOperand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, 1, model);</div>
 <div class="line"><a name="l00543"></a><span class="lineno">  543</span>&#160;    <span class="keywordflow">if</span> (!axisOperand)</div>
 <div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;    {</div>
 <div class="line"><a name="l00545"></a><span class="lineno">  545</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Could not read input 1&quot;</span>, __func__);</div>
 <div class="line"><a name="l00546"></a><span class="lineno">  546</span>&#160;    }</div>
 <div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;    std::vector&lt;int32_t&gt; axis;</div>
 <div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;    <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#ac8643aaee3eafc54336c5462b51bd53f">GetTensorInt32Values</a>(*axisOperand, axis, model, data))</div>
 <div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160;    {</div>
 <div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Input 1 has invalid values&quot;</span>, __func__);</div>
 <div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;    }</div>
 <div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160; </div>
 <div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;    <span class="comment">// Convert the axis to unsigned int and remove duplicates.</span></div>
 <div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> rank = inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div>
 <div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;    std::set&lt;unsigned int&gt; uniqueAxis;</div>
 <div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160;    std::transform(axis.begin(), axis.end(),</div>
 <div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;                   std::inserter(uniqueAxis, uniqueAxis.begin()),</div>
 <div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;                   [rank](<span class="keywordtype">int</span> i) -&gt; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> { return (i + rank) % rank; });</div>
 <div class="line"><a name="l00559"></a><span class="lineno">  559</span>&#160;    descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">m_vAxis</a>.assign(uniqueAxis.begin(), uniqueAxis.end());</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;    <span class="comment">// Get the &quot;keep dims&quot; flag.</span></div>
 <div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, 2, OperandType::BOOL, descriptor.<a class="code" href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">m_KeepDims</a>, model, data))</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;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Could not read input 2&quot;</span>, __func__);</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; </div>
 <div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;    <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00568"></a><span class="lineno">  568</span>&#160;    <a class="code" href="classarmnn_1_1_backend_id.html">armnn::BackendId</a> setBackend;</div>
 <div class="line"><a name="l00569"></a><span class="lineno">  569</span>&#160;    <span class="keyword">auto</span> validateFunc = [&amp;](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outputInfo, <span class="keywordtype">bool</span>&amp; isSupported)</div>
 <div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;    {</div>
 <div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;        <a class="code" href="_conversion_utils_8hpp.html#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div>
 <div class="line"><a name="l00572"></a><span class="lineno">  572</span>&#160;                                   IsReduceSupported,</div>
 <div class="line"><a name="l00573"></a><span class="lineno">  573</span>&#160;                                   data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div>
 <div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;                                   isSupported,</div>
 <div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;                                   setBackend,</div>
 <div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;                                   inputInfo,</div>
 <div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;                                   outputInfo,</div>
 <div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;                                   descriptor);</div>
 <div class="line"><a name="l00579"></a><span class="lineno">  579</span>&#160;    };</div>
 <div class="line"><a name="l00580"></a><span class="lineno">  580</span>&#160; </div>
 <div class="line"><a name="l00581"></a><span class="lineno">  581</span>&#160;    <span class="keywordflow">if</span>(!<a class="code" href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outputInfo))</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;        validateFunc(outputInfo, isSupported);</div>
 <div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;    }</div>
 <div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;    {</div>
 <div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;        isSupported = <a class="code" href="namespacearmnn__driver.html#a85d53debffd9611a3b5bc6031afd5073">AreDynamicTensorsSupported</a>();</div>
 <div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;    }</div>
 <div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160; </div>
 <div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;    <span class="keywordflow">if</span> (!isSupported)</div>
 <div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;    {</div>
 <div class="line"><a name="l00592"></a><span class="lineno">  592</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <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; </div>
 <div class="line"><a name="l00595"></a><span class="lineno">  595</span>&#160;    <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* <span class="keyword">const</span> layer = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>-&gt;AddReduceLayer(descriptor);</div>
 <div class="line"><a name="l00596"></a><span class="lineno">  596</span>&#160;    layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div>
 <div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;    assert(layer != <span class="keyword">nullptr</span>);</div>
 <div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;    input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#a9b63bdf08709bc5302b3c1a9198d06a3">Connect</a>(layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div>
 <div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160; </div>
 <div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#a5378da53b59c1c826e6320383ca0257e">SetupAndTrackLayerOutputSlot</a>(operation, 0, *layer, model, data, <span class="keyword">nullptr</span>, validateFunc);</div>
 <div class="line"><a name="l00601"></a><span class="lineno">  601</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.html#l00505">AreDynamicTensorsSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00033">LayerInputHandle::Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">ConvertToLayerInputHandle()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00155">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00688">GetOutputOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00057">LayerInputHandle::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00843">GetTensorInt32Values()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00491">IsDynamicTensor()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00028">LayerInputHandle::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00061">ConversionData::m_Backends</a>, <a class="el" href="_descriptors_8hpp_source.html#l01554">ReduceDescriptor::m_KeepDims</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00062">ConversionData::m_Network</a>, <a class="el" href="_descriptors_8hpp_source.html#l01558">ReduceDescriptor::m_ReduceOperation</a>, <a class="el" href="_descriptors_8hpp_source.html#l01556">ReduceDescriptor::m_vAxis</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_converter_8cpp_source.html#l00022">Converter::ConvertOperation()</a>.</p>

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 <a id="a28243ca97e12ccb50e01f03d313ecc86"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a28243ca97e12ccb50e01f03d313ecc86">&#9670;&nbsp;</a></span>ConvertToActivation()</h2>

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           <td class="memname">bool ConvertToActivation </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const char *&#160;</td>
           <td class="paramname"><em>operationName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a> &amp;&#160;</td>
           <td class="paramname"><em>activationDesc</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.html#l00604">604</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><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;    <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a> input = <a class="code" href="namespacearmnn__driver.html#a1f6b85ab26d684241babcde2d659116b">ConvertToLayerInputHandle</a>(operation, 0, model, data);</div>
 <div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;    <span class="keywordflow">if</span> (!input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>())</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> Fail(<span class="stringliteral">&quot;%s: Input 0 is invalid&quot;</span>, operationName);</div>
 <div class="line"><a name="l00614"></a><span class="lineno">  614</span>&#160;    }</div>
 <div class="line"><a name="l00615"></a><span class="lineno">  615</span>&#160; </div>
 <div class="line"><a name="l00616"></a><span class="lineno">  616</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* outputOperand = <a class="code" href="namespacearmnn__driver.html#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, 0, model);</div>
 <div class="line"><a name="l00617"></a><span class="lineno">  617</span>&#160;    <span class="keywordflow">if</span> (!outputOperand)</div>
 <div class="line"><a name="l00618"></a><span class="lineno">  618</span>&#160;    {</div>
 <div class="line"><a name="l00619"></a><span class="lineno">  619</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00620"></a><span class="lineno">  620</span>&#160;    }</div>
 <div class="line"><a name="l00621"></a><span class="lineno">  621</span>&#160; </div>
 <div class="line"><a name="l00622"></a><span class="lineno">  622</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outInfo = <a class="code" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*outputOperand);</div>
 <div class="line"><a name="l00623"></a><span class="lineno">  623</span>&#160; </div>
 <div class="line"><a name="l00624"></a><span class="lineno">  624</span>&#160;    <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00625"></a><span class="lineno">  625</span>&#160;    <a class="code" href="classarmnn_1_1_backend_id.html">armnn::BackendId</a> setBackend;</div>
 <div class="line"><a name="l00626"></a><span class="lineno">  626</span>&#160;    <span class="keyword">auto</span> validateFunc = [&amp;](<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; outInfo, <span class="keywordtype">bool</span>&amp; isSupported)</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;        <a class="code" href="_conversion_utils_8hpp.html#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div>
 <div class="line"><a name="l00629"></a><span class="lineno">  629</span>&#160;                                   IsActivationSupported,</div>
 <div class="line"><a name="l00630"></a><span class="lineno">  630</span>&#160;                                   data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div>
 <div class="line"><a name="l00631"></a><span class="lineno">  631</span>&#160;                                   isSupported,</div>
 <div class="line"><a name="l00632"></a><span class="lineno">  632</span>&#160;                                   setBackend,</div>
 <div class="line"><a name="l00633"></a><span class="lineno">  633</span>&#160;                                   input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#acbafd23115b06f0a82eab45bd1e3cff9">GetTensorInfo</a>(),</div>
 <div class="line"><a name="l00634"></a><span class="lineno">  634</span>&#160;                                   outInfo,</div>
 <div class="line"><a name="l00635"></a><span class="lineno">  635</span>&#160;                                   activationDesc);</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;    <span class="keywordflow">if</span>(<a class="code" href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outInfo))</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;        isSupported = <a class="code" href="namespacearmnn__driver.html#a85d53debffd9611a3b5bc6031afd5073">AreDynamicTensorsSupported</a>();</div>
 <div class="line"><a name="l00641"></a><span class="lineno">  641</span>&#160;    }</div>
 <div class="line"><a name="l00642"></a><span class="lineno">  642</span>&#160;    <span class="keywordflow">else</span></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;        validateFunc(outInfo, isSupported);</div>
 <div class="line"><a name="l00645"></a><span class="lineno">  645</span>&#160;    }</div>
 <div class="line"><a name="l00646"></a><span class="lineno">  646</span>&#160; </div>
 <div class="line"><a name="l00647"></a><span class="lineno">  647</span>&#160;    <span class="keywordflow">if</span> (!isSupported)</div>
 <div class="line"><a name="l00648"></a><span class="lineno">  648</span>&#160;    {</div>
 <div class="line"><a name="l00649"></a><span class="lineno">  649</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00650"></a><span class="lineno">  650</span>&#160;    }</div>
 <div class="line"><a name="l00651"></a><span class="lineno">  651</span>&#160; </div>
 <div class="line"><a name="l00652"></a><span class="lineno">  652</span>&#160;    <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* layer = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>-&gt;AddActivationLayer(activationDesc);</div>
 <div class="line"><a name="l00653"></a><span class="lineno">  653</span>&#160;    <span class="keywordflow">if</span> (layer == <span class="keyword">nullptr</span>)</div>
 <div class="line"><a name="l00654"></a><span class="lineno">  654</span>&#160;    {</div>
 <div class="line"><a name="l00655"></a><span class="lineno">  655</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;failed to add activation layer to network&quot;</span>);</div>
 <div class="line"><a name="l00656"></a><span class="lineno">  656</span>&#160;    }</div>
 <div class="line"><a name="l00657"></a><span class="lineno">  657</span>&#160;    layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div>
 <div class="line"><a name="l00658"></a><span class="lineno">  658</span>&#160;    input.<a class="code" href="classarmnn__driver_1_1_layer_input_handle.html#a9b63bdf08709bc5302b3c1a9198d06a3">Connect</a>(layer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div>
 <div class="line"><a name="l00659"></a><span class="lineno">  659</span>&#160; </div>
 <div class="line"><a name="l00660"></a><span class="lineno">  660</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#a5378da53b59c1c826e6320383ca0257e">SetupAndTrackLayerOutputSlot</a>(operation, 0, *layer, model, data, <span class="keyword">nullptr</span>, validateFunc);</div>
 <div class="line"><a name="l00661"></a><span class="lineno">  661</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.html#l00505">AreDynamicTensorsSupported()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00033">LayerInputHandle::Connect()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">ConvertToLayerInputHandle()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00155">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00688">GetOutputOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00057">LayerInputHandle::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00491">IsDynamicTensor()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00028">LayerInputHandle::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00061">ConversionData::m_Backends</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00062">ConversionData::m_Network</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

 </div>
 </div>
 <a id="a1f6b85ab26d684241babcde2d659116b"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a1f6b85ab26d684241babcde2d659116b">&#9670;&nbsp;</a></span>ConvertToLayerInputHandle()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname"><a class="el" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a> ConvertToLayerInputHandle </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;&#160;</td>
           <td class="paramname"><em>dimensionMappings</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a> *&#160;</td>
           <td class="paramname"><em>inputHandle</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="_conversion_utils_8cpp_source.html#l00216">216</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;{</div>
 <div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160; </div>
 <div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div>
 <div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    <span class="keywordflow">if</span> (!operand)</div>
 <div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    {</div>
 <div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;        Fail(<span class="stringliteral">&quot;%s: failed to get input operand %i&quot;</span>, __func__, inputIndex);</div>
 <div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</div>
 <div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    }</div>
 <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;    <span class="keywordflow">if</span> (!IsOperandTypeSupportedForTensors(operand-&gt;type))</div>
 <div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    {</div>
 <div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: unsupported operand type for tensor: &quot;</span> &lt;&lt; operand-&gt;type;</div>
 <div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</div>
 <div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    }</div>
 <div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160; </div>
 <div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    <span class="keywordflow">try</span></div>
 <div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;    {</div>
 <div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> operandTensorInfo = <a class="code" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*operand);</div>
 <div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160; </div>
 <div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(operandTensorInfo))</div>
 <div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        {</div>
 <div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;            data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a094e06eb84b3b80533c0f961f0f472de">m_DynamicInputsEncountered</a> = <span class="keyword">true</span>;</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;            <span class="keyword">const</span> uint32_t operandIndex = operation.inputs[inputIndex];</div>
 <div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160; </div>
 <div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;            <span class="comment">// Check if the dynamic input tensors have been inferred by one of the previous layers</span></div>
 <div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;            <span class="comment">// If not we can&#39;t support them</span></div>
 <div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;            <span class="keywordflow">if</span> (data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>.size() &gt;= operandIndex &amp;&amp; data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex])</div>
 <div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;            {</div>
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 <div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;            }</div>
 <div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;            <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;            {</div>
 <div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;                Fail(<span class="stringliteral">&quot;%s: Type 2 dynamic input tensors are not supported&quot;</span>, __func__);</div>
 <div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;                <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</div>
 <div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;            }</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;        <span class="keywordflow">switch</span> (operand-&gt;lifetime)</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">case</span> OperandLifeTime::SUBGRAPH_INPUT:</div>
 <div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;            {</div>
 <div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;                <span class="comment">// NOTE: We must check whether we can support the input tensor on at least one</span></div>
 <div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;                <span class="comment">// of the provided backends; otherwise we cannot convert the operation</span></div>
 <div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;                <span class="keywordtype">bool</span> isInputSupported = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;                <a class="code" href="_conversion_utils_8hpp.html#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div>
 <div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;                                           IsInputSupported,</div>
 <div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;                                           data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div>
 <div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;                                           isInputSupported,</div>
 <div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;                                           <a class="code" href="classarmnn_1_1_backend_id.html">armnn::BackendId</a>(),</div>
 <div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;                                           operandTensorInfo);</div>
 <div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160; </div>
 <div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;                <span class="keywordflow">if</span> (!isInputSupported)</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;                    Fail(<span class="stringliteral">&quot;%s: unsupported input tensor&quot;</span>, __func__);</div>
 <div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;                    <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</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; </div>
 <div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;                [[clang::fallthrough]]; <span class="comment">// intentional fallthrough</span></div>
 <div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;            }</div>
 <div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;            <span class="keywordflow">case</span> OperandLifeTime::TEMPORARY_VARIABLE: <span class="comment">// intentional fallthrough</span></div>
 <div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;            <span class="keywordflow">case</span> OperandLifeTime::SUBGRAPH_OUTPUT:</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;                <span class="comment">// The tensor is either an operand internal to the model, or a model input.</span></div>
 <div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;                <span class="comment">// It can be associated with an ArmNN output slot for an existing layer.</span></div>
 <div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160; </div>
 <div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;                <span class="comment">// m_OutputSlotForOperand[...] can be nullptr if the previous layer could not be converted</span></div>
 <div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;                <span class="keyword">const</span> uint32_t operandIndex = operation.inputs[inputIndex];</div>
 <div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;                <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>(<span class="keyword">true</span>, data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex], operandTensorInfo);</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;            <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_COPY: <span class="comment">// intentional fallthrough</span></div>
 <div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;            <span class="keywordflow">case</span> OperandLifeTime::POINTER:</div>
 <div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;            <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_REFERENCE:</div>
 <div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;            {</div>
 <div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;                <span class="keyword">auto</span> constantTensorDataType = operandTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
 <div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;                <span class="comment">// The tensor has an already known constant value, and can be converted into an ArmNN Constant layer.</span></div>
 <div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;                <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a> tensorPin = <a class="code" href="namespacearmnn__driver.html#a82e85436d5f7cbfa90e8ab521bddae31">ConvertOperandToConstTensorPin</a>(*operand,</div>
 <div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;                                                                          model,</div>
 <div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;                                                                          data,</div>
 <div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;                                                                          dimensionMappings,</div>
 <div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160;                                                                          <span class="keyword">nullptr</span>,</div>
 <div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;                                                                          <span class="keyword">false</span>,</div>
 <div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;                                                                          &amp;constantTensorDataType);</div>
 <div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;                <span class="keywordflow">if</span> (tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html#ac532c4b500b1a85ea22217f2c65a70ed">IsValid</a>())</div>
 <div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;                {</div>
 <div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;                    <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;                    <a class="code" href="classarmnn_1_1_backend_id.html">armnn::BackendId</a> setBackend;</div>
 <div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;                    <a class="code" href="_conversion_utils_8hpp.html#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div>
 <div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;                                               IsConstantSupported,</div>
 <div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;                                               data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div>
 <div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;                                               isSupported,</div>
 <div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;                                               setBackend,</div>
 <div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;                                               tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html#a971023b9874b0d773e8aa4c6d6744a2b">GetConstTensor</a>().<a class="code" href="classarmnn_1_1_base_tensor.html#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>());</div>
 <div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;                    <span class="keywordflow">if</span> (!isSupported)</div>
 <div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;                    {</div>
 <div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;                        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</div>
 <div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;                    }</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;                    <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* constantLayer =</div>
 <div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;                        data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>-&gt;AddConstantLayer(tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html#a971023b9874b0d773e8aa4c6d6744a2b">GetConstTensor</a>());</div>
 <div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;                    constantLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div>
 <div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;                    <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>&amp; outputSlot = constantLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0);</div>
 <div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;                    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> constantTensorInfo = tensorPin.<a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html#a971023b9874b0d773e8aa4c6d6744a2b">GetConstTensor</a>().<a class="code" href="classarmnn_1_1_base_tensor.html#a8aeddebdcf02e1832b22203c08a6b678">GetInfo</a>();</div>
 <div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;                    outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(constantTensorInfo);</div>
 <div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160; </div>
 <div class="line"><a name="l00327"></a><span class="lineno">  327</span>&#160;                    <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>(<span class="keyword">true</span>, &amp;outputSlot, constantTensorInfo);</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;                <span class="keywordflow">else</span></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;                    Fail(<span class="stringliteral">&quot;%s: invalid operand tensor&quot;</span>, __func__);</div>
 <div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;                    <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</div>
 <div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;                }</div>
 <div class="line"><a name="l00334"></a><span class="lineno">  334</span>&#160;                <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00335"></a><span class="lineno">  335</span>&#160;            }</div>
 <div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;            <span class="keywordflow">default</span>:</div>
 <div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;            {</div>
 <div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;                VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: unsupported lifetime for input tensor: &quot;</span> &lt;&lt; operand-&gt;lifetime;</div>
 <div class="line"><a name="l00339"></a><span class="lineno">  339</span>&#160;                <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</div>
 <div class="line"><a name="l00340"></a><span class="lineno">  340</span>&#160;            }</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;    }</div>
 <div class="line"><a name="l00343"></a><span class="lineno">  343</span>&#160;    <span class="keywordflow">catch</span> (<a class="code" href="classarmnn__driver_1_1_unsupported_operand.html">UnsupportedOperand&lt;OperandType&gt;</a>&amp; e)</div>
 <div class="line"><a name="l00344"></a><span class="lineno">  344</span>&#160;    {</div>
 <div class="line"><a name="l00345"></a><span class="lineno">  345</span>&#160;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: Operand type: &quot;</span> &lt;&lt; e.<a class="code" href="classarmnn__driver_1_1_unsupported_operand.html#adbccd9c087443cf759711a3e62da9a84">m_type</a> &lt;&lt; <span class="stringliteral">&quot; not supported in ArmnnDriver&quot;</span>;</div>
 <div class="line"><a name="l00346"></a><span class="lineno">  346</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_layer_input_handle.html">LayerInputHandle</a>();</div>
 <div class="line"><a name="l00347"></a><span class="lineno">  347</span>&#160;    }</div>
 <div class="line"><a name="l00348"></a><span class="lineno">  348</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.html#l00166">ConvertOperandToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00155">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00122">ConstTensorPin::GetConstTensor()</a>, <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00297">BaseTensor&lt; MemoryType &gt;::GetInfo()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00491">IsDynamicTensor()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00112">ConstTensorPin::IsValid()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00061">ConversionData::m_Backends</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00065">ConversionData::m_DynamicInputsEncountered</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00062">ConversionData::m_Network</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00063">ConversionData::m_OutputSlotForOperand</a>, <a class="el" href="_canonical_utils_8hpp_source.html#l00035">UnsupportedOperand&lt; OperandType &gt;::m_type</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00604">ConvertToActivation()</a>.</p>

 </div>
 </div>
 <a id="a37ca67c646393225921543233a873803"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a37ca67c646393225921543233a873803">&#9670;&nbsp;</a></span>DequantizeAndMakeConstTensorPin()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname"><a class="el" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a> DequantizeAndMakeConstTensorPin </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">size_t&#160;</td>
           <td class="paramname"><em>operandIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>optional</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="_conversion_utils_8cpp_source.html#l00752">752</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00757"></a><span class="lineno">  757</span>&#160;{</div>
 <div class="line"><a name="l00758"></a><span class="lineno">  758</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> dequantized = <a class="code" href="namespacearmnn__driver.html#a78a9a9f196810df6bc4795568f275c75">DequantizeIfRequired</a>(operandIndex,operation, model, data);</div>
 <div class="line"><a name="l00759"></a><span class="lineno">  759</span>&#160; </div>
 <div class="line"><a name="l00760"></a><span class="lineno">  760</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5c">DequantizeStatus</a> status = std::get&lt;3&gt;(dequantized);</div>
 <div class="line"><a name="l00761"></a><span class="lineno">  761</span>&#160;    <span class="keywordflow">switch</span> (status)</div>
 <div class="line"><a name="l00762"></a><span class="lineno">  762</span>&#160;    {</div>
 <div class="line"><a name="l00763"></a><span class="lineno">  763</span>&#160;        <span class="keywordflow">case</span> DequantizeStatus::INVALID_OPERAND:</div>
 <div class="line"><a name="l00764"></a><span class="lineno">  764</span>&#160;        {</div>
 <div class="line"><a name="l00765"></a><span class="lineno">  765</span>&#160;            <span class="comment">// return invalid const tensor pin</span></div>
 <div class="line"><a name="l00766"></a><span class="lineno">  766</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>();</div>
 <div class="line"><a name="l00767"></a><span class="lineno">  767</span>&#160;        }</div>
 <div class="line"><a name="l00768"></a><span class="lineno">  768</span>&#160;        <span class="keywordflow">case</span> DequantizeStatus::NOT_REQUIRED:</div>
 <div class="line"><a name="l00769"></a><span class="lineno">  769</span>&#160;        {</div>
 <div class="line"><a name="l00770"></a><span class="lineno">  770</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#a8c749c18e62c59a5c1254aac342c995a">ConvertOperationInputToConstTensorPin</a>(</div>
 <div class="line"><a name="l00771"></a><span class="lineno">  771</span>&#160;                operation, operandIndex, model, data, <a class="code" href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>, <span class="keyword">nullptr</span>, optional);</div>
 <div class="line"><a name="l00772"></a><span class="lineno">  772</span>&#160;        }</div>
 <div class="line"><a name="l00773"></a><span class="lineno">  773</span>&#160;        <span class="keywordflow">case</span> DequantizeStatus::SUCCESS:</div>
 <div class="line"><a name="l00774"></a><span class="lineno">  774</span>&#160;        <span class="keywordflow">default</span>:</div>
 <div class="line"><a name="l00775"></a><span class="lineno">  775</span>&#160;        {</div>
 <div class="line"><a name="l00776"></a><span class="lineno">  776</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn__driver_1_1_const_tensor_pin.html">ConstTensorPin</a>(</div>
 <div class="line"><a name="l00777"></a><span class="lineno">  777</span>&#160;                std::get&lt;2&gt;(dequantized), std::get&lt;0&gt;(dequantized).get(), std::get&lt;1&gt;(dequantized), <a class="code" href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">g_DontPermute</a>);</div>
 <div class="line"><a name="l00778"></a><span class="lineno">  778</span>&#160;        }</div>
 <div class="line"><a name="l00779"></a><span class="lineno">  779</span>&#160;    }</div>
 <div class="line"><a name="l00780"></a><span class="lineno">  780</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00751">ConvertOperationInputToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00663">DequantizeIfRequired()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00038">g_DontPermute</a>, <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a>, <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>, and <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>.</p>

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 <a id="a78a9a9f196810df6bc4795568f275c75"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a78a9a9f196810df6bc4795568f275c75">&#9670;&nbsp;</a></span>DequantizeIfRequired()</h2>

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           <td class="memname"><a class="el" href="namespacearmnn__driver.html#a8932639a884a3dc698f29d4e8395ba49">DequantizeResult</a> DequantizeIfRequired </td>
           <td>(</td>
           <td class="paramtype">size_t&#160;</td>
           <td class="paramname"><em>operand_index</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</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="_conversion_utils_8cpp_source.html#l00663">663</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><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;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* weightsOperand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, operand_index, model);</div>
 <div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;    <span class="keywordflow">if</span> (!weightsOperand)</div>
 <div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;    {</div>
 <div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;        <span class="keywordflow">return</span> { <span class="keyword">nullptr</span>, 0, <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(), DequantizeStatus::INVALID_OPERAND };</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; </div>
 <div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;    <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn__driver.html#a9ddfceb499ef7b3d01053399bc79b852">IsOperandConstant</a>(*weightsOperand))</div>
 <div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160;    {</div>
 <div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;        <span class="comment">// Weights are already constant</span></div>
 <div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;        <span class="keywordflow">return</span> { <span class="keyword">nullptr</span>, 0, <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(), DequantizeStatus::NOT_REQUIRED };</div>
 <div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;    }</div>
 <div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160; </div>
 <div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> weightsInputIndex = operation.inputs[operand_index];</div>
 <div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160; </div>
 <div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;    <span class="comment">// The weights are a non const tensor, this indicates they might be the output of a dequantize op.</span></div>
 <div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;    <span class="comment">// Iterate over the nodes and find the previous operation which should be DEQUANTIZE</span></div>
 <div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;    <span class="keywordflow">for</span> (uint32_t operationIdx = 0; operationIdx &lt; <a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operations.size(); ++operationIdx)</div>
 <div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;    {</div>
 <div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;        <span class="comment">// Search for the DEQUANTIZE op which has the operand with index equal to operandIndex</span></div>
 <div class="line"><a name="l00687"></a><span class="lineno">  687</span>&#160;        <span class="keyword">const</span> <span class="keyword">auto</span>&amp; operationIt = <a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operations[operationIdx];</div>
 <div class="line"><a name="l00688"></a><span class="lineno">  688</span>&#160;        <span class="keywordflow">if</span> (operationIt.type != OperationType::DEQUANTIZE)</div>
 <div class="line"><a name="l00689"></a><span class="lineno">  689</span>&#160;        {</div>
 <div class="line"><a name="l00690"></a><span class="lineno">  690</span>&#160;            <span class="keywordflow">continue</span>;</div>
 <div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;        }</div>
 <div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160; </div>
 <div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;        <span class="keywordtype">size_t</span> outOpIndex = weightsInputIndex + 1;</div>
 <div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; outOpIndex != weightsInputIndex &amp;&amp; i &lt; operationIt.outputs.size(); ++i)</div>
 <div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;        {</div>
 <div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;            outOpIndex = operationIt.outputs[i];</div>
 <div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160;        }</div>
 <div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160; </div>
 <div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;        <span class="keywordflow">if</span> (outOpIndex != weightsInputIndex)</div>
 <div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;        {</div>
 <div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;            <span class="keywordflow">continue</span>;</div>
 <div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;        }</div>
 <div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160; </div>
 <div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;        <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operationIt, 0, model);</div>
 <div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;        <span class="keywordflow">if</span> (operand == <span class="keyword">nullptr</span>)</div>
 <div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;        {</div>
 <div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;failed to get input operand 0&quot;</span>);</div>
 <div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;        }</div>
 <div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160; </div>
 <div class="line"><a name="l00710"></a><span class="lineno">  710</span>&#160;        <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#a267f6b68937e2126b6ca890a6b11ea9c">IsQSymm8</a>(*operand))</div>
 <div class="line"><a name="l00711"></a><span class="lineno">  711</span>&#160;        {</div>
 <div class="line"><a name="l00712"></a><span class="lineno">  712</span>&#160;            <span class="comment">// Only supporting dequantize from QSYMM8 to FLOAT</span></div>
 <div class="line"><a name="l00713"></a><span class="lineno">  713</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00714"></a><span class="lineno">  714</span>&#160;        }</div>
 <div class="line"><a name="l00715"></a><span class="lineno">  715</span>&#160; </div>
 <div class="line"><a name="l00716"></a><span class="lineno">  716</span>&#160;        <span class="comment">// Allocate a new buffer for the dequantized data and manually dequantize</span></div>
 <div class="line"><a name="l00717"></a><span class="lineno">  717</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">void</span>* startValue = <a class="code" href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div>
 <div class="line"><a name="l00718"></a><span class="lineno">  718</span>&#160;        <span class="keywordflow">if</span> (!startValue)</div>
 <div class="line"><a name="l00719"></a><span class="lineno">  719</span>&#160;        {</div>
 <div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;            <span class="comment">// Failed to get the operand address</span></div>
 <div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;        }</div>
 <div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160; </div>
 <div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;        <span class="keyword">const</span> uint8_t* quantizedBuffer = <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(startValue);</div>
 <div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;        <span class="keywordtype">size_t</span> dequantizedBufferLength = operand-&gt;location.length;</div>
 <div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160;        <span class="keyword">const</span> <span class="keywordtype">float</span> quantizationScale  = operand-&gt;scale;</div>
 <div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160; </div>
 <div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;        <span class="keyword">auto</span> dequantizedBuffer = std::make_unique&lt;float[]&gt;(dequantizedBufferLength + 1);</div>
 <div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; dequantizedBufferLength; ++i)</div>
 <div class="line"><a name="l00730"></a><span class="lineno">  730</span>&#160;        {</div>
 <div class="line"><a name="l00731"></a><span class="lineno">  731</span>&#160;            <span class="keywordtype">float</span>* dstPtr = dequantizedBuffer.get();</div>
 <div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;            <span class="keywordflow">if</span> (dstPtr == <span class="keyword">nullptr</span>)</div>
 <div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;            {</div>
 <div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160;                <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a>(<span class="stringliteral">&quot;dequantizedBuffer unique pointer is null&quot;</span>);</div>
 <div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;            }</div>
 <div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;            *dstPtr++ = quantizedBuffer[i] * quantizationScale;</div>
 <div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;        }</div>
 <div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160; </div>
 <div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;        <span class="comment">// Construct tensor info for dequantized ConstTensor</span></div>
 <div class="line"><a name="l00740"></a><span class="lineno">  740</span>&#160;        <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> tensorInfo(operand-&gt;dimensions.size(),</div>
 <div class="line"><a name="l00741"></a><span class="lineno">  741</span>&#160;                                     operand-&gt;dimensions.data(),</div>
 <div class="line"><a name="l00742"></a><span class="lineno">  742</span>&#160;                                     <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>);</div>
 <div class="line"><a name="l00743"></a><span class="lineno">  743</span>&#160; </div>
 <div class="line"><a name="l00744"></a><span class="lineno">  744</span>&#160;        <span class="keywordflow">return</span> { std::move(dequantizedBuffer), dequantizedBufferLength * <span class="keyword">sizeof</span>(float),</div>
 <div class="line"><a name="l00745"></a><span class="lineno">  745</span>&#160;                 std::move(tensorInfo),</div>
 <div class="line"><a name="l00746"></a><span class="lineno">  746</span>&#160;                 DequantizeStatus::SUCCESS };</div>
 <div class="line"><a name="l00747"></a><span class="lineno">  747</span>&#160;    }</div>
 <div class="line"><a name="l00748"></a><span class="lineno">  748</span>&#160; </div>
 <div class="line"><a name="l00749"></a><span class="lineno">  749</span>&#160;    <span class="keywordflow">return</span> { <span class="keyword">nullptr</span>, 0, <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>() , DequantizeStatus::NOT_REQUIRED};</div>
 <div class="line"><a name="l00750"></a><span class="lineno">  750</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00030">getMainModel()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00798">GetOperandValueReadOnlyAddress()</a>, <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">INVALID_OPERAND</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00731">IsOperandConstant()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l01035">IsQSymm8()</a>, <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">NOT_REQUIRED</a>, and <a class="el" href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">SUCCESS</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00752">DequantizeAndMakeConstTensorPin()</a>.</p>

 </div>
 </div>
 <a id="aa313ae79f70102e3451d45d3387c2e46"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#aa313ae79f70102e3451d45d3387c2e46">&#9670;&nbsp;</a></span>DumpJsonProfilingIfRequired()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">void DumpJsonProfilingIfRequired </td>
           <td>(</td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>gpuProfilingEnabled</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a>&#160;</td>
           <td class="paramname"><em>networkId</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_profiler.html">armnn::IProfiler</a> *&#160;</td>
           <td class="paramname"><em>profiler</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="_canonical_utils_8cpp_source.html#l00352">352</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00356"></a><span class="lineno">  356</span>&#160;{</div>
 <div class="line"><a name="l00357"></a><span class="lineno">  357</span>&#160;    <span class="comment">// Check if profiling is required.</span></div>
 <div class="line"><a name="l00358"></a><span class="lineno">  358</span>&#160;    <span class="keywordflow">if</span> (!gpuProfilingEnabled)</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;        <span class="keywordflow">return</span>;</div>
 <div class="line"><a name="l00361"></a><span class="lineno">  361</span>&#160;    }</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;    <span class="comment">// The dump directory must exist in advance.</span></div>
 <div class="line"><a name="l00364"></a><span class="lineno">  364</span>&#160;    <span class="keywordflow">if</span> (dumpDir.empty())</div>
 <div class="line"><a name="l00365"></a><span class="lineno">  365</span>&#160;    {</div>
 <div class="line"><a name="l00366"></a><span class="lineno">  366</span>&#160;        <span class="keywordflow">return</span>;</div>
 <div class="line"><a name="l00367"></a><span class="lineno">  367</span>&#160;    }</div>
 <div class="line"><a name="l00368"></a><span class="lineno">  368</span>&#160; </div>
 <div class="line"><a name="l00369"></a><span class="lineno">  369</span>&#160;    <span class="keywordflow">if</span> (profiler == <span class="keyword">nullptr</span>)</div>
 <div class="line"><a name="l00370"></a><span class="lineno">  370</span>&#160;    {</div>
 <div class="line"><a name="l00371"></a><span class="lineno">  371</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">&quot;DumpJsonProfilingIfRequired: pointer to profiler handed in is null&quot;</span>);</div>
 <div class="line"><a name="l00372"></a><span class="lineno">  372</span>&#160;    }</div>
 <div class="line"><a name="l00373"></a><span class="lineno">  373</span>&#160; </div>
 <div class="line"><a name="l00374"></a><span class="lineno">  374</span>&#160;    <span class="comment">// Set the name of the output profiling file.</span></div>
 <div class="line"><a name="l00375"></a><span class="lineno">  375</span>&#160;    fs::path dumpPath = dumpDir;</div>
 <div class="line"><a name="l00376"></a><span class="lineno">  376</span>&#160;    <span class="keyword">const</span> fs::path fileName = dumpPath / (std::to_string(networkId) + <span class="stringliteral">&quot;_profiling.json&quot;</span>);</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;    <span class="comment">// Open the ouput file for writing.</span></div>
 <div class="line"><a name="l00379"></a><span class="lineno">  379</span>&#160;    std::ofstream fileStream;</div>
 <div class="line"><a name="l00380"></a><span class="lineno">  380</span>&#160;    fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc);</div>
 <div class="line"><a name="l00381"></a><span class="lineno">  381</span>&#160; </div>
 <div class="line"><a name="l00382"></a><span class="lineno">  382</span>&#160;    <span class="keywordflow">if</span> (!fileStream.good())</div>
 <div class="line"><a name="l00383"></a><span class="lineno">  383</span>&#160;    {</div>
 <div class="line"><a name="l00384"></a><span class="lineno">  384</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Could not open file %s for writing&quot;</span> &lt;&lt; fileName.c_str();</div>
 <div class="line"><a name="l00385"></a><span class="lineno">  385</span>&#160;        <span class="keywordflow">return</span>;</div>
 <div class="line"><a name="l00386"></a><span class="lineno">  386</span>&#160;    }</div>
 <div class="line"><a name="l00387"></a><span class="lineno">  387</span>&#160; </div>
 <div class="line"><a name="l00388"></a><span class="lineno">  388</span>&#160;    <span class="comment">// Write the profiling info to a JSON file.</span></div>
 <div class="line"><a name="l00389"></a><span class="lineno">  389</span>&#160;    profiler-&gt;<a class="code" href="classarmnn_1_1_i_profiler.html#a038bb767bbc6abc0ee0d9b509616b896">Print</a>(fileStream);</div>
 <div class="line"><a name="l00390"></a><span class="lineno">  390</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_profiling_8cpp_source.html#l00630">IProfiler::Print()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.html#l00626">ArmnnPreparedModel::~ArmnnPreparedModel()</a>.</p>

 </div>
 </div>
 <a id="aa25bddb175983b2d3e0965440323d789"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#aa25bddb175983b2d3e0965440323d789">&#9670;&nbsp;</a></span>DumpTensor()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">void DumpTensor </td>
           <td>(</td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>requestName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></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 TensorType &amp;&#160;</td>
           <td class="paramname"><em>tensor</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="_canonical_utils_8cpp_source.html#l00219">219</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;{</div>
 <div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    <span class="comment">// The dump directory must exist in advance.</span></div>
 <div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;    fs::path dumpPath = dumpDir;</div>
 <div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    <span class="keyword">const</span> fs::path fileName = dumpPath / (requestName + <span class="stringliteral">&quot;_&quot;</span> + tensorName + <span class="stringliteral">&quot;.dump&quot;</span>);</div>
 <div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160; </div>
 <div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;    std::ofstream fileStream;</div>
 <div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    fileStream.open(fileName.c_str(), std::ofstream::out | std::ofstream::trunc);</div>
 <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;    <span class="keywordflow">if</span> (!fileStream.good())</div>
 <div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    {</div>
 <div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Could not open file %s for writing&quot;</span> &lt;&lt; fileName.c_str();</div>
 <div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;        <span class="keywordflow">return</span>;</div>
 <div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    }</div>
 <div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160; </div>
 <div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    DumpElementFunction&lt;TensorType&gt; dumpElementFunction = <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160; </div>
 <div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;    <span class="keywordflow">switch</span> (tensor.GetDataType())</div>
 <div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    {</div>
 <div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div>
 <div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;        {</div>
 <div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, float&gt;;</div>
 <div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;        }</div>
 <div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div>
 <div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;        {</div>
 <div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, uint8_t, uint32_t&gt;;</div>
 <div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;            <span class="keywordflow">break</span>;</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;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</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;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, int32_t&gt;;</div>
 <div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;            <span class="keywordflow">break</span>;</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;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div>
 <div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        {</div>
 <div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, armnn::Half&gt;;</div>
 <div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;        }</div>
 <div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div>
 <div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;        {</div>
 <div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, int8_t, int32_t&gt;;</div>
 <div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        }</div>
 <div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;        <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div>
 <div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;        {</div>
 <div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;            dumpElementFunction = &amp;DumpTensorElement&lt;TensorType, bool&gt;;</div>
 <div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;        }</div>
 <div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;        <span class="keywordflow">default</span>:</div>
 <div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;        {</div>
 <div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;            dumpElementFunction = <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;        }</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; </div>
 <div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;    <span class="keywordflow">if</span> (dumpElementFunction != <span class="keyword">nullptr</span>)</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;        <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDimensions = tensor.GetNumDimensions();</div>
 <div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> shape = tensor.GetShape();</div>
 <div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160; </div>
 <div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;        <span class="keywordflow">if</span> (!shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>())</div>
 <div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;        {</div>
 <div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;            fileStream &lt;&lt; <span class="stringliteral">&quot;Cannot dump tensor elements: not all dimensions are specified&quot;</span> &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;            <span class="keywordflow">return</span>;</div>
 <div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;        }</div>
 <div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;# Number of elements &quot;</span> &lt;&lt; tensor.<a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>() &lt;&lt; std::endl;</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;        <span class="keywordflow">if</span> (numDimensions == 0)</div>
 <div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;        {</div>
 <div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;            fileStream &lt;&lt; <span class="stringliteral">&quot;# Shape []&quot;</span> &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;            <span class="keywordflow">return</span>;</div>
 <div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;        }</div>
 <div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;# Shape [&quot;</span> &lt;&lt; shape[0];</div>
 <div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> d = 1; d &lt; numDimensions; ++d)</div>
 <div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;        {</div>
 <div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;            fileStream &lt;&lt; <span class="stringliteral">&quot;,&quot;</span> &lt;&lt; shape[d];</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;        fileStream &lt;&lt; <span class="stringliteral">&quot;]&quot;</span> &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00300"></a><span class="lineno">  300</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;Each line contains the data of each of the elements of dimension0. In NCHW and NHWC, each line&quot;</span></div>
 <div class="line"><a name="l00301"></a><span class="lineno">  301</span>&#160;                      <span class="stringliteral">&quot; will be a batch&quot;</span> &lt;&lt; std::endl &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00302"></a><span class="lineno">  302</span>&#160; </div>
 <div class="line"><a name="l00303"></a><span class="lineno">  303</span>&#160;        <span class="comment">// Split will create a new line after all elements of the first dimension</span></div>
 <div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;        <span class="comment">// (in a 4, 3, 2, 3 tensor, there will be 4 lines of 18 elements)</span></div>
 <div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;        <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> split = 1;</div>
 <div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;        <span class="keywordflow">if</span> (numDimensions == 1)</div>
 <div class="line"><a name="l00307"></a><span class="lineno">  307</span>&#160;        {</div>
 <div class="line"><a name="l00308"></a><span class="lineno">  308</span>&#160;            split = shape[0];</div>
 <div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;        }</div>
 <div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;        <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;        {</div>
 <div class="line"><a name="l00312"></a><span class="lineno">  312</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 1; i &lt; numDimensions; ++i)</div>
 <div class="line"><a name="l00313"></a><span class="lineno">  313</span>&#160;            {</div>
 <div class="line"><a name="l00314"></a><span class="lineno">  314</span>&#160;                split *= shape[i];</div>
 <div class="line"><a name="l00315"></a><span class="lineno">  315</span>&#160;            }</div>
 <div class="line"><a name="l00316"></a><span class="lineno">  316</span>&#160;        }</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;        <span class="comment">// Print all elements in the tensor</span></div>
 <div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> elementIndex = 0; elementIndex &lt; tensor.GetNumElements(); ++elementIndex)</div>
 <div class="line"><a name="l00320"></a><span class="lineno">  320</span>&#160;        {</div>
 <div class="line"><a name="l00321"></a><span class="lineno">  321</span>&#160;            (*dumpElementFunction)(tensor, elementIndex, fileStream);</div>
 <div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160; </div>
 <div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;            <span class="keywordflow">if</span> ( (elementIndex + 1) % split == 0 )</div>
 <div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;            {</div>
 <div class="line"><a name="l00325"></a><span class="lineno">  325</span>&#160;                fileStream &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00326"></a><span class="lineno">  326</span>&#160;            }</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;        fileStream &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00329"></a><span class="lineno">  329</span>&#160;    }</div>
 <div class="line"><a name="l00330"></a><span class="lineno">  330</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00331"></a><span class="lineno">  331</span>&#160;    {</div>
 <div class="line"><a name="l00332"></a><span class="lineno">  332</span>&#160;        fileStream &lt;&lt; <span class="stringliteral">&quot;Cannot dump tensor elements: Unsupported data type &quot;</span></div>
 <div class="line"><a name="l00333"></a><span class="lineno">  333</span>&#160;            &lt;&lt; <span class="keyword">static_cast&lt;</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">&gt;</span>(tensor.GetDataType()) &lt;&lt; std::endl;</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; </div>
 <div class="line"><a name="l00336"></a><span class="lineno">  336</span>&#160;    <span class="keywordflow">if</span> (!fileStream.good())</div>
 <div class="line"><a name="l00337"></a><span class="lineno">  337</span>&#160;    {</div>
 <div class="line"><a name="l00338"></a><span class="lineno">  338</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;An error occurred when writing to file %s&quot;</span> &lt;&lt; fileName.c_str();</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;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00241">TensorShape::AreAllDimensionsSpecified()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8cpp_source.html#l00181">TensorShape::GetNumElements()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a46cd012184b5106f810f5b6ea75863c4">&#9670;&nbsp;</a></span>DumpTensor&lt; armnn::ConstTensor &gt;()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">template void <a class="el" href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a>&lt; <a class="el" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> &gt; </td>
           <td>(</td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>requestName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></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.html">armnn::ConstTensor</a> &amp;&#160;</td>
           <td class="paramname"><em>tensor</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
       </table>
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 <a id="a533bbc27789ba037d6f6b75f58624567"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a533bbc27789ba037d6f6b75f58624567">&#9670;&nbsp;</a></span>DumpTensor&lt; armnn::Tensor &gt;()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">template void <a class="el" href="namespacearmnn__driver.html#aa25bddb175983b2d3e0965440323d789">armnn_driver::DumpTensor</a>&lt; <a class="el" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> &gt; </td>
           <td>(</td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>requestName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></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_tensor.html">armnn::Tensor</a> &amp;&#160;</td>
           <td class="paramname"><em>tensor</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <h2 class="memtitle"><span class="permalink"><a href="#a5304cf930377fc082e7494d20de2be12">&#9670;&nbsp;</a></span>ExportNetworkGraphToDotFile()</h2>

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           <td class="memname">std::string ExportNetworkGraphToDotFile </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_optimized_network.html">armnn::IOptimizedNetwork</a> &amp;&#160;</td>
           <td class="paramname"><em>optimizedNetwork</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>&#160;</td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00392">392</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00394"></a><span class="lineno">  394</span>&#160;{</div>
 <div class="line"><a name="l00395"></a><span class="lineno">  395</span>&#160;    std::string fileName;</div>
 <div class="line"><a name="l00396"></a><span class="lineno">  396</span>&#160;    <span class="comment">// The dump directory must exist in advance.</span></div>
 <div class="line"><a name="l00397"></a><span class="lineno">  397</span>&#160;    <span class="keywordflow">if</span> (dumpDir.empty())</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;        <span class="keywordflow">return</span> fileName;</div>
 <div class="line"><a name="l00400"></a><span class="lineno">  400</span>&#160;    }</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;    std::string timestamp = <a class="code" href="namespacearmnn__driver.html#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div>
 <div class="line"><a name="l00403"></a><span class="lineno">  403</span>&#160;    <span class="keywordflow">if</span> (timestamp.empty())</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;        <span class="keywordflow">return</span> fileName;</div>
 <div class="line"><a name="l00406"></a><span class="lineno">  406</span>&#160;    }</div>
 <div class="line"><a name="l00407"></a><span class="lineno">  407</span>&#160; </div>
 <div class="line"><a name="l00408"></a><span class="lineno">  408</span>&#160;    <span class="comment">// Set the name of the output .dot file.</span></div>
 <div class="line"><a name="l00409"></a><span class="lineno">  409</span>&#160;    fs::path dumpPath = dumpDir;</div>
 <div class="line"><a name="l00410"></a><span class="lineno">  410</span>&#160;    fs::path tempFilePath = dumpPath / (timestamp + <span class="stringliteral">&quot;_networkgraph.dot&quot;</span>);</div>
 <div class="line"><a name="l00411"></a><span class="lineno">  411</span>&#160;    fileName = tempFilePath.string();</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;    VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Exporting the optimized network graph to file: %s&quot;</span> &lt;&lt; fileName.c_str();</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;    <span class="comment">// Write the network graph to a dot file.</span></div>
 <div class="line"><a name="l00416"></a><span class="lineno">  416</span>&#160;    std::ofstream fileStream;</div>
 <div class="line"><a name="l00417"></a><span class="lineno">  417</span>&#160;    fileStream.open(fileName, std::ofstream::out | std::ofstream::trunc);</div>
 <div class="line"><a name="l00418"></a><span class="lineno">  418</span>&#160; </div>
 <div class="line"><a name="l00419"></a><span class="lineno">  419</span>&#160;    <span class="keywordflow">if</span> (!fileStream.good())</div>
 <div class="line"><a name="l00420"></a><span class="lineno">  420</span>&#160;    {</div>
 <div class="line"><a name="l00421"></a><span class="lineno">  421</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Could not open file %s for writing&quot;</span> &lt;&lt; fileName.c_str();</div>
 <div class="line"><a name="l00422"></a><span class="lineno">  422</span>&#160;        <span class="keywordflow">return</span> fileName;</div>
 <div class="line"><a name="l00423"></a><span class="lineno">  423</span>&#160;    }</div>
 <div class="line"><a name="l00424"></a><span class="lineno">  424</span>&#160; </div>
 <div class="line"><a name="l00425"></a><span class="lineno">  425</span>&#160;    <span class="keywordflow">if</span> (optimizedNetwork.<a class="code" href="classarmnn_1_1_i_optimized_network.html#a26794f014974a6f963a8925de07bffeb">SerializeToDot</a>(fileStream) != <a class="code" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a>)</div>
 <div class="line"><a name="l00426"></a><span class="lineno">  426</span>&#160;    {</div>
 <div class="line"><a name="l00427"></a><span class="lineno">  427</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;An error occurred when writing to file %s&quot;</span> &lt;&lt; fileName.c_str();</div>
 <div class="line"><a name="l00428"></a><span class="lineno">  428</span>&#160;    }</div>
 <div class="line"><a name="l00429"></a><span class="lineno">  429</span>&#160;    <span class="keywordflow">return</span> fileName;</div>
 <div class="line"><a name="l00430"></a><span class="lineno">  430</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.html#l00560">GetFileTimestamp()</a>, <a class="el" href="_network_8cpp_source.html#l00710">IOptimizedNetwork::SerializeToDot()</a>, and <a class="el" href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Success</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_armnn_driver_impl_8cpp_source.html#l00099">ArmnnDriverImpl::PrepareArmnnModel()</a>, and <a class="el" href="_armnn_driver_impl_8cpp_source.html#l00338">ArmnnDriverImpl::PrepareArmnnModelFromCache()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a419cd7b9bad83f31f6db8ba9a3b9517a">&#9670;&nbsp;</a></span>GetFileTimestamp()</h2>

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           <td class="memname">std::string GetFileTimestamp </td>
           <td>(</td>
           <td class="paramname"></td><td>)</td>
           <td></td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00560">560</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00561"></a><span class="lineno">  561</span>&#160;{</div>
 <div class="line"><a name="l00562"></a><span class="lineno">  562</span>&#160;    <span class="comment">// used to get a timestamp to name diagnostic files (the ArmNN serialized graph</span></div>
 <div class="line"><a name="l00563"></a><span class="lineno">  563</span>&#160;    <span class="comment">// and getSupportedOperations.txt files)</span></div>
 <div class="line"><a name="l00564"></a><span class="lineno">  564</span>&#160;    timespec ts;</div>
 <div class="line"><a name="l00565"></a><span class="lineno">  565</span>&#160;    <span class="keywordtype">int</span> iRet = clock_gettime(CLOCK_MONOTONIC_RAW, &amp;ts);</div>
 <div class="line"><a name="l00566"></a><span class="lineno">  566</span>&#160;    std::stringstream ss;</div>
 <div class="line"><a name="l00567"></a><span class="lineno">  567</span>&#160;    <span class="keywordflow">if</span> (iRet == 0)</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;        ss &lt;&lt; std::to_string(ts.tv_sec) &lt;&lt; <span class="stringliteral">&quot;_&quot;</span> &lt;&lt; std::to_string(ts.tv_nsec);</div>
 <div class="line"><a name="l00570"></a><span class="lineno">  570</span>&#160;    }</div>
 <div class="line"><a name="l00571"></a><span class="lineno">  571</span>&#160;    <span class="keywordflow">else</span></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;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;clock_gettime failed with errno &quot;</span> &lt;&lt;</div>
 <div class="line"><a name="l00574"></a><span class="lineno">  574</span>&#160;            std::to_string(errno).c_str() &lt;&lt; <span class="stringliteral">&quot; : &quot;</span> &lt;&lt;</div>
 <div class="line"><a name="l00575"></a><span class="lineno">  575</span>&#160;            std::strerror(errno);</div>
 <div class="line"><a name="l00576"></a><span class="lineno">  576</span>&#160;    }</div>
 <div class="line"><a name="l00577"></a><span class="lineno">  577</span>&#160;    <span class="keywordflow">return</span> ss.str();</div>
 <div class="line"><a name="l00578"></a><span class="lineno">  578</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">Referenced by <a class="el" href="_canonical_utils_8cpp_source.html#l00392">ExportNetworkGraphToDotFile()</a>, and <a class="el" href="_canonical_utils_8cpp_source.html#l00432">SerializeNetwork()</a>.</p>

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 <a id="ac092fff5c81f7938eea9a2479f014c66"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#ac092fff5c81f7938eea9a2479f014c66">&#9670;&nbsp;</a></span>GetInputActivationFunction()</h2>

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           <td class="memname">bool armnn_driver::GetInputActivationFunction </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">ActivationFn &amp;&#160;</td>
           <td class="paramname"><em>outActivationFunction</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00856">856</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;{</div>
 <div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#a3ac499dc54900adc7f2613944b583e10">GetInputActivationFunctionImpl</a>(operation,</div>
 <div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;                                          inputIndex,</div>
 <div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160;                                          OperandType::INT32,</div>
 <div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;                                          outActivationFunction,</div>
 <div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;                                          model,</div>
 <div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;                                          data);</div>
 <div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00833">GetInputActivationFunctionImpl()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, and <a class="el" href="_conversion_utils_8hpp_source.html#l00886">GetOptionalInputActivation()</a>.</p>

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 <a id="a4c6b55ca5080b58c2cc6d7c6c7347d96"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a4c6b55ca5080b58c2cc6d7c6c7347d96">&#9670;&nbsp;</a></span>GetInputActivationFunctionFromTensor()</h2>

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           <td class="memname">bool armnn_driver::GetInputActivationFunctionFromTensor </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">ActivationFn &amp;&#160;</td>
           <td class="paramname"><em>outActivationFunction</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
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           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00870">870</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00875"></a><span class="lineno">  875</span>&#160;{</div>
 <div class="line"><a name="l00876"></a><span class="lineno">  876</span>&#160;    <span class="comment">// This only accepts a 1-D tensor of size 1</span></div>
 <div class="line"><a name="l00877"></a><span class="lineno">  877</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#a3ac499dc54900adc7f2613944b583e10">GetInputActivationFunctionImpl</a>(operation,</div>
 <div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160;                                          inputIndex,</div>
 <div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;                                          OperandType::INT32,</div>
 <div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;                                          outActivationFunction,</div>
 <div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;                                          model,</div>
 <div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;                                          data);</div>
 <div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00833">GetInputActivationFunctionImpl()</a>.</p>

 </div>
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 <a id="a3ac499dc54900adc7f2613944b583e10"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a3ac499dc54900adc7f2613944b583e10">&#9670;&nbsp;</a></span>GetInputActivationFunctionImpl()</h2>

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           <td class="memname">bool armnn_driver::GetInputActivationFunctionImpl </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a>&#160;</td>
           <td class="paramname"><em>type</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">ActivationFn &amp;&#160;</td>
           <td class="paramname"><em>outActivationFunction</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
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           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00833">833</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160;{</div>
 <div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;    <span class="keywordflow">if</span> (type != OperandType::INT32 &amp;&amp; type != OperandType::TENSOR_INT32)</div>
 <div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;    {</div>
 <div class="line"><a name="l00842"></a><span class="lineno">  842</span>&#160;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: unexpected operand type: &quot;</span> &lt;&lt; type</div>
 <div class="line"><a name="l00843"></a><span class="lineno">  843</span>&#160;                     &lt;&lt; <span class="stringliteral">&quot; should be OperandType::INT32 or OperandType::TENSOR_INT32&quot;</span>;</div>
 <div class="line"><a name="l00844"></a><span class="lineno">  844</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00845"></a><span class="lineno">  845</span>&#160;    }</div>
 <div class="line"><a name="l00846"></a><span class="lineno">  846</span>&#160; </div>
 <div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;    int32_t activationFunctionAsInt;</div>
 <div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;    <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, inputIndex, type, activationFunctionAsInt, model, data))</div>
 <div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;    {</div>
 <div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: failed to get activation input value&quot;</span>, __func__);</div>
 <div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;    }</div>
 <div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;    outActivationFunction = <span class="keyword">static_cast&lt;</span>ActivationFn<span class="keyword">&gt;</span>(activationFunctionAsInt);</div>
 <div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8hpp_source.html#l00856">GetInputActivationFunction()</a>, and <a class="el" href="_conversion_utils_8hpp_source.html#l00870">GetInputActivationFunctionFromTensor()</a>.</p>

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 <a id="a560530462631e354561c1763f695351c"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a560530462631e354561c1763f695351c">&#9670;&nbsp;</a></span>GetInputFloat32()</h2>

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           <td class="memname">bool armnn_driver::GetInputFloat32 </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">float &amp;&#160;</td>
           <td class="paramname"><em>outValue</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
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           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00824">824</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;{</div>
 <div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, inputIndex, OperandType::FLOAT32, outValue, model, data);</div>
 <div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;}</div>
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 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>.</p>

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 <a id="aa43f9c81f830559c15e5af86f8e11482"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#aa43f9c81f830559c15e5af86f8e11482">&#9670;&nbsp;</a></span>GetInputInt32()</h2>

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           <td class="memname">bool armnn_driver::GetInputInt32 </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">int32_t &amp;&#160;</td>
           <td class="paramname"><em>outValue</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
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           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00815">815</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;{</div>
 <div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation, inputIndex, OperandType::INT32, outValue, model, data);</div>
 <div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00782">GetInputPaddingScheme()</a>.</p>

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 <a id="a14977f94479f2f7e13bdf915ac8ce8d0"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a14977f94479f2f7e13bdf915ac8ce8d0">&#9670;&nbsp;</a></span>GetInputOperand()</h2>

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           <td class="memname">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* armnn_driver::GetInputOperand </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>failOnIndexOutOfBounds</em> = <code>true</code>&#160;</td>
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           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00662">662</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><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;    <span class="keywordflow">if</span> (inputIndex &gt;= operation.inputs.size())</div>
 <div class="line"><a name="l00668"></a><span class="lineno">  668</span>&#160;    {</div>
 <div class="line"><a name="l00669"></a><span class="lineno">  669</span>&#160;        <span class="keywordflow">if</span> (failOnIndexOutOfBounds)</div>
 <div class="line"><a name="l00670"></a><span class="lineno">  670</span>&#160;        {</div>
 <div class="line"><a name="l00671"></a><span class="lineno">  671</span>&#160;            Fail(<span class="stringliteral">&quot;%s: invalid input index: %i out of %i&quot;</span>, __func__, inputIndex, operation.inputs.size());</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> <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00674"></a><span class="lineno">  674</span>&#160;    }</div>
 <div class="line"><a name="l00675"></a><span class="lineno">  675</span>&#160; </div>
 <div class="line"><a name="l00676"></a><span class="lineno">  676</span>&#160;    <span class="comment">// Model should have been validated beforehand</span></div>
 <div class="line"><a name="l00677"></a><span class="lineno">  677</span>&#160;    <span class="keywordflow">if</span> (!(operation.inputs[inputIndex] &lt; <a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands.size()))</div>
 <div class="line"><a name="l00678"></a><span class="lineno">  678</span>&#160;    {</div>
 <div class="line"><a name="l00679"></a><span class="lineno">  679</span>&#160;        std::ostringstream os;</div>
 <div class="line"><a name="l00680"></a><span class="lineno">  680</span>&#160;        os &lt;&lt; <span class="stringliteral">&quot;GetInputOperand: inputIndex [&quot;</span> &lt;&lt; inputIndex &lt;&lt; <span class="stringliteral">&quot;]&quot;</span>;</div>
 <div class="line"><a name="l00681"></a><span class="lineno">  681</span>&#160;        os &lt;&lt; <span class="stringliteral">&quot; is too large. The number of main model operands is [&quot;</span>;</div>
 <div class="line"><a name="l00682"></a><span class="lineno">  682</span>&#160;        os &lt;&lt;  <a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands.size() &lt;&lt; <span class="stringliteral">&quot;]&quot;</span>;</div>
 <div class="line"><a name="l00683"></a><span class="lineno">  683</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(os.str());</div>
 <div class="line"><a name="l00684"></a><span class="lineno">  684</span>&#160;    }</div>
 <div class="line"><a name="l00685"></a><span class="lineno">  685</span>&#160;    <span class="keywordflow">return</span> &amp;<a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands[operation.inputs[inputIndex]];</div>
 <div class="line"><a name="l00686"></a><span class="lineno">  686</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00030">getMainModel()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8hpp_source.html#l00751">ConvertOperationInputToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00350">ConvertPaddings()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">ConvertToLayerInputHandle()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00663">DequantizeIfRequired()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00716">GetOperandType()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00933">GetOptionalBool()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00141">IsWeightsValid()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00874">OptionalDataLayout()</a>.</p>

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 <a id="aa9ef723ace8562b9636e8387a120fbde"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#aa9ef723ace8562b9636e8387a120fbde">&#9670;&nbsp;</a></span>GetInputPaddingScheme()</h2>

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           <td class="memname">bool GetInputPaddingScheme </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">PaddingScheme &amp;&#160;</td>
           <td class="paramname"><em>outPaddingScheme</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00782">782</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;{</div>
 <div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160;    int32_t paddingSchemeAsInt;</div>
 <div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;    <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#aa43f9c81f830559c15e5af86f8e11482">GetInputInt32</a>(operation, inputIndex, paddingSchemeAsInt, model, data))</div>
 <div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;    {</div>
 <div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: failed to get padding scheme input value&quot;</span>, __func__);</div>
 <div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;    }</div>
 <div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160; </div>
 <div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160;    outPaddingScheme = <span class="keyword">static_cast&lt;</span>::android::nn::PaddingScheme<span class="keyword">&gt;</span>(paddingSchemeAsInt);</div>
 <div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00815">GetInputInt32()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>.</p>

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 <a id="abf92490dc588f48af86fc12184841fd5"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#abf92490dc588f48af86fc12184841fd5">&#9670;&nbsp;</a></span>GetInputScalar()</h2>

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           <td class="memname">bool armnn_driver::GetInputScalar </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a>&#160;</td>
           <td class="paramname"><em>type</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">OutputType &amp;&#160;</td>
           <td class="paramname"><em>outValue</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>optional</em> = <code>false</code>&#160;</td>
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           <td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00775">775</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00782"></a><span class="lineno">  782</span>&#160;{</div>
 <div class="line"><a name="l00783"></a><span class="lineno">  783</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div>
 <div class="line"><a name="l00784"></a><span class="lineno">  784</span>&#160;    <span class="keywordflow">if</span> (!optional &amp;&amp; !operand)</div>
 <div class="line"><a name="l00785"></a><span class="lineno">  785</span>&#160;    {</div>
 <div class="line"><a name="l00786"></a><span class="lineno">  786</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: invalid input operand at index %i&quot;</span>, __func__, inputIndex);</div>
 <div class="line"><a name="l00787"></a><span class="lineno">  787</span>&#160;    }</div>
 <div class="line"><a name="l00788"></a><span class="lineno">  788</span>&#160; </div>
 <div class="line"><a name="l00789"></a><span class="lineno">  789</span>&#160;    <span class="keywordflow">if</span> (!optional &amp;&amp; operand-&gt;type != type)</div>
 <div class="line"><a name="l00790"></a><span class="lineno">  790</span>&#160;    {</div>
 <div class="line"><a name="l00791"></a><span class="lineno">  791</span>&#160;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: unexpected operand type: &quot;</span> &lt;&lt; operand-&gt;type &lt;&lt; <span class="stringliteral">&quot; should be: &quot;</span> &lt;&lt; type;</div>
 <div class="line"><a name="l00792"></a><span class="lineno">  792</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00793"></a><span class="lineno">  793</span>&#160;    }</div>
 <div class="line"><a name="l00794"></a><span class="lineno">  794</span>&#160; </div>
 <div class="line"><a name="l00795"></a><span class="lineno">  795</span>&#160;    <span class="keywordflow">if</span> (!optional &amp;&amp; operand-&gt;location.length != <span class="keyword">sizeof</span>(OutputType))</div>
 <div class="line"><a name="l00796"></a><span class="lineno">  796</span>&#160;    {</div>
 <div class="line"><a name="l00797"></a><span class="lineno">  797</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: incorrect operand location length: %i (should be %i)&quot;</span>,</div>
 <div class="line"><a name="l00798"></a><span class="lineno">  798</span>&#160;                    __func__, operand-&gt;location.length, <span class="keyword">sizeof</span>(OutputType));</div>
 <div class="line"><a name="l00799"></a><span class="lineno">  799</span>&#160;    }</div>
 <div class="line"><a name="l00800"></a><span class="lineno">  800</span>&#160; </div>
 <div class="line"><a name="l00801"></a><span class="lineno">  801</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span>* valueAddress = <a class="code" href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div>
 <div class="line"><a name="l00802"></a><span class="lineno">  802</span>&#160;    <span class="keywordflow">if</span> (!optional &amp;&amp; !valueAddress)</div>
 <div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;    {</div>
 <div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: failed to get address for operand&quot;</span>, __func__);</div>
 <div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;    }</div>
 <div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160; </div>
 <div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;    <span class="keywordflow">if</span>(!optional)</div>
 <div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;    {</div>
 <div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;        outValue = *(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>OutputType*<span class="keyword">&gt;</span>(valueAddress));</div>
 <div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;    }</div>
 <div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160; </div>
 <div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00798">GetOperandValueReadOnlyAddress()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00833">GetInputActivationFunctionImpl()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00824">GetInputFloat32()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00815">GetInputInt32()</a>, and <a class="el" href="_conversion_utils_8hpp_source.html#l00907">GetOptionalConvolutionDilationParams()</a>.</p>

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 <a id="a915f2652854e417e26afc297f12e107c"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a915f2652854e417e26afc297f12e107c">&#9670;&nbsp;</a></span>GetMemoryFromPointer()</h2>

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           <td class="memname">void * GetMemoryFromPointer </td>
           <td>(</td>
           <td class="paramtype">const Request::Argument &amp;&#160;</td>
           <td class="paramname"><em>requestArg</em></td><td>)</td>
           <td></td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00077">77</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><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="comment">// get the pointer memory</span></div>
 <div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    <span class="keyword">auto</span> ptrMemory = std::visit([](std::variant&lt;const void*, void*&gt;&amp;&amp; memory)</div>
 <div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                                {</div>
 <div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                                    <span class="keywordflow">if</span> (std::holds_alternative&lt;const void*&gt;(memory))</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">auto</span> ptr = std::get&lt;const void*&gt;(memory);</div>
 <div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                                        <span class="keyword">auto</span> ptrMemory = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(ptr);</div>
 <div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                                        <span class="keywordflow">return</span> <span class="keyword">const_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(ptrMemory);</div>
 <div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                                    }</div>
 <div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                                    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                                    {</div>
 <div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                                        <span class="keyword">auto</span> ptr = std::get&lt;void*&gt;(memory);</div>
 <div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                                        <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(ptr);</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;                                }, requestArg.location.pointer);</div>
 <div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keywordflow">return</span> ptrMemory;</div>
 <div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;}</div>
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 <h2 class="memtitle"><span class="permalink"><a href="#a96666c2945d7fe8c34aee30a449287d5">&#9670;&nbsp;</a></span>GetMemoryFromPool()</h2>

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           <td class="memname">void * GetMemoryFromPool </td>
           <td>(</td>
           <td class="paramtype">DataLocation&#160;</td>
           <td class="paramname"><em>location</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::vector&lt; android::nn::RunTimePoolInfo &gt; &amp;&#160;</td>
           <td class="paramname"><em>memPools</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p>Returns a pointer to a specific location in a pool`. </p>

 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00066">66</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;{</div>
 <div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="comment">// find the location within the pool</span></div>
 <div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    assert(location.poolIndex &lt; memPools.size());</div>
 <div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160; </div>
 <div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keyword">const</span> android::nn::RunTimePoolInfo&amp; memPool = memPools[location.poolIndex];</div>
 <div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    uint8_t* memPoolBuffer = memPool.getBuffer();</div>
 <div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;    uint8_t* memory = memPoolBuffer + location.offset;</div>
 <div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    <span class="keywordflow">return</span> memory;</div>
 <div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00798">GetOperandValueReadOnlyAddress()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a31b494d1b36f5ed7fc7556a0fbc2c17c">&#9670;&nbsp;</a></span>GetModelSummary()</h2>

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           <td class="memname">std::string GetModelSummary </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em></td><td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00526">526</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00527"></a><span class="lineno">  527</span>&#160;{</div>
 <div class="line"><a name="l00528"></a><span class="lineno">  528</span>&#160;    std::stringstream result;</div>
 <div class="line"><a name="l00529"></a><span class="lineno">  529</span>&#160; </div>
 <div class="line"><a name="l00530"></a><span class="lineno">  530</span>&#160;    result &lt;&lt; model.main.inputIndexes.size() &lt;&lt; <span class="stringliteral">&quot; input(s), &quot;</span></div>
 <div class="line"><a name="l00531"></a><span class="lineno">  531</span>&#160;           &lt;&lt; model.main.operations.size() &lt;&lt; <span class="stringliteral">&quot; operation(s), &quot;</span></div>
 <div class="line"><a name="l00532"></a><span class="lineno">  532</span>&#160;           &lt;&lt; model.main.outputIndexes.size() &lt;&lt; <span class="stringliteral">&quot; output(s), &quot;</span></div>
 <div class="line"><a name="l00533"></a><span class="lineno">  533</span>&#160;           &lt;&lt; model.main.operands.size() &lt;&lt; <span class="stringliteral">&quot; operand(s) &quot;</span></div>
 <div class="line"><a name="l00534"></a><span class="lineno">  534</span>&#160;           &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00535"></a><span class="lineno">  535</span>&#160; </div>
 <div class="line"><a name="l00536"></a><span class="lineno">  536</span>&#160;    result &lt;&lt; <span class="stringliteral">&quot;Inputs: &quot;</span>;</div>
 <div class="line"><a name="l00537"></a><span class="lineno">  537</span>&#160;    <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; model.main.inputIndexes.size(); i++)</div>
 <div class="line"><a name="l00538"></a><span class="lineno">  538</span>&#160;    {</div>
 <div class="line"><a name="l00539"></a><span class="lineno">  539</span>&#160;        result &lt;&lt; <a class="code" href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.inputIndexes[i]]) &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div>
 <div class="line"><a name="l00540"></a><span class="lineno">  540</span>&#160;    }</div>
 <div class="line"><a name="l00541"></a><span class="lineno">  541</span>&#160;    result &lt;&lt; std::endl;</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;    result &lt;&lt; <span class="stringliteral">&quot;Operations: &quot;</span>;</div>
 <div class="line"><a name="l00544"></a><span class="lineno">  544</span>&#160;    <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; model.main.operations.size(); i++)</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;        result &lt;&lt; model.main.operations[i].type &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div>
 <div class="line"><a name="l00547"></a><span class="lineno">  547</span>&#160;    }</div>
 <div class="line"><a name="l00548"></a><span class="lineno">  548</span>&#160;    result &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00549"></a><span class="lineno">  549</span>&#160; </div>
 <div class="line"><a name="l00550"></a><span class="lineno">  550</span>&#160;    result &lt;&lt; <span class="stringliteral">&quot;Outputs: &quot;</span>;</div>
 <div class="line"><a name="l00551"></a><span class="lineno">  551</span>&#160;    <span class="keywordflow">for</span> (uint32_t i = 0; i &lt; model.main.outputIndexes.size(); i++)</div>
 <div class="line"><a name="l00552"></a><span class="lineno">  552</span>&#160;    {</div>
 <div class="line"><a name="l00553"></a><span class="lineno">  553</span>&#160;        result &lt;&lt; <a class="code" href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">GetOperandSummary</a>(model.main.operands[model.main.outputIndexes[i]]) &lt;&lt; <span class="stringliteral">&quot;, &quot;</span>;</div>
 <div class="line"><a name="l00554"></a><span class="lineno">  554</span>&#160;    }</div>
 <div class="line"><a name="l00555"></a><span class="lineno">  555</span>&#160;    result &lt;&lt; std::endl;</div>
 <div class="line"><a name="l00556"></a><span class="lineno">  556</span>&#160; </div>
 <div class="line"><a name="l00557"></a><span class="lineno">  557</span>&#160;    <span class="keywordflow">return</span> result.str();</div>
 <div class="line"><a name="l00558"></a><span class="lineno">  558</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.html#l00191">GetOperandSummary()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_armnn_prepared_model_8cpp_source.html#l00294">ArmnnPreparedModel::execute()</a>, and <a class="el" href="_armnn_prepared_model_8cpp_source.html#l00477">ArmnnPreparedModel::executeFenced()</a>.</p>

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 </div>
 <a id="ac0532f3c7d143a04aee7f5991ee5d381"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#ac0532f3c7d143a04aee7f5991ee5d381">&#9670;&nbsp;</a></span>GetOperandSummary()</h2>

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           <td class="memname">std::string GetOperandSummary </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;&#160;</td>
           <td class="paramname"><em>operand</em></td><td>)</td>
           <td></td>
         </tr>
       </table>
 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00191">191</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;{</div>
 <div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    std::stringstream ss;</div>
 <div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;    ss &lt;&lt; <span class="stringliteral">&quot;operand dimensions: [ &quot;</span>;</div>
 <div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; operand.dimensions.size(); ++i)</div>
 <div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;    {</div>
 <div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;        ss &lt;&lt; operand.dimensions[i] &lt;&lt; <span class="stringliteral">&quot; &quot;</span>;</div>
 <div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;    }</div>
 <div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    ss &lt;&lt; <span class="stringliteral">&quot;] operand type: &quot;</span> &lt;&lt; operand.type;</div>
 <div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;    <span class="keywordflow">return</span> ss.str();</div>
 <div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">Referenced by <a class="el" href="_canonical_utils_8cpp_source.html#l00526">GetModelSummary()</a>.</p>

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 </div>
 <a id="adfc2c5b834fdb89e5458ddb1d9aa7830"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#adfc2c5b834fdb89e5458ddb1d9aa7830">&#9670;&nbsp;</a></span>GetOperandType()</h2>

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           <td class="memname">bool armnn_driver::GetOperandType </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> &amp;&#160;</td>
           <td class="paramname"><em>type</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00716">716</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00720"></a><span class="lineno">  720</span>&#160;{</div>
 <div class="line"><a name="l00721"></a><span class="lineno">  721</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div>
 <div class="line"><a name="l00722"></a><span class="lineno">  722</span>&#160;    <span class="keywordflow">if</span> (!operand)</div>
 <div class="line"><a name="l00723"></a><span class="lineno">  723</span>&#160;    {</div>
 <div class="line"><a name="l00724"></a><span class="lineno">  724</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: invalid input operand at index %i&quot;</span>, __func__, inputIndex);</div>
 <div class="line"><a name="l00725"></a><span class="lineno">  725</span>&#160;    }</div>
 <div class="line"><a name="l00726"></a><span class="lineno">  726</span>&#160; </div>
 <div class="line"><a name="l00727"></a><span class="lineno">  727</span>&#160;    type = operand-&gt;type;</div>
 <div class="line"><a name="l00728"></a><span class="lineno">  728</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00729"></a><span class="lineno">  729</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a8d20245b5ca3cbb0b132064ab44f2682">&#9670;&nbsp;</a></span>GetOperandValueReadOnlyAddress()</h2>

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           <td class="memname">const void * GetOperandValueReadOnlyAddress </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;&#160;</td>
           <td class="paramname"><em>operand</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>optional</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
       </table>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00798">798</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00802"></a><span class="lineno">  802</span>&#160;{</div>
 <div class="line"><a name="l00803"></a><span class="lineno">  803</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span>* valueStart = <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00804"></a><span class="lineno">  804</span>&#160;    <span class="keywordflow">switch</span> (operand.lifetime)</div>
 <div class="line"><a name="l00805"></a><span class="lineno">  805</span>&#160;    {</div>
 <div class="line"><a name="l00806"></a><span class="lineno">  806</span>&#160;        <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_COPY:</div>
 <div class="line"><a name="l00807"></a><span class="lineno">  807</span>&#160;        {</div>
 <div class="line"><a name="l00808"></a><span class="lineno">  808</span>&#160;            valueStart = model.operandValues.data() + operand.location.offset;</div>
 <div class="line"><a name="l00809"></a><span class="lineno">  809</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00810"></a><span class="lineno">  810</span>&#160;        }</div>
 <div class="line"><a name="l00811"></a><span class="lineno">  811</span>&#160;        <span class="keywordflow">case</span> OperandLifeTime::POINTER:</div>
 <div class="line"><a name="l00812"></a><span class="lineno">  812</span>&#160;        {</div>
 <div class="line"><a name="l00813"></a><span class="lineno">  813</span>&#160;            <span class="comment">// Pointer specified in the model</span></div>
 <div class="line"><a name="l00814"></a><span class="lineno">  814</span>&#160;            valueStart = std::get&lt;const void*&gt;(operand.location.pointer);</div>
 <div class="line"><a name="l00815"></a><span class="lineno">  815</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00816"></a><span class="lineno">  816</span>&#160;        }</div>
 <div class="line"><a name="l00817"></a><span class="lineno">  817</span>&#160;        <span class="keywordflow">case</span> OperandLifeTime::CONSTANT_REFERENCE:</div>
 <div class="line"><a name="l00818"></a><span class="lineno">  818</span>&#160;        {</div>
 <div class="line"><a name="l00819"></a><span class="lineno">  819</span>&#160;            <span class="comment">// Constant specified via a Memory object</span></div>
 <div class="line"><a name="l00820"></a><span class="lineno">  820</span>&#160;            valueStart = <a class="code" href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">GetMemoryFromPool</a>(operand.location, data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#acb740de896710dbc576f5eaf7a9cfeaa">m_MemPools</a>);</div>
 <div class="line"><a name="l00821"></a><span class="lineno">  821</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00822"></a><span class="lineno">  822</span>&#160;        }</div>
 <div class="line"><a name="l00823"></a><span class="lineno">  823</span>&#160;        <span class="keywordflow">case</span> OperandLifeTime::NO_VALUE:</div>
 <div class="line"><a name="l00824"></a><span class="lineno">  824</span>&#160;        {</div>
 <div class="line"><a name="l00825"></a><span class="lineno">  825</span>&#160;            <span class="comment">// An optional input tensor with no values is not an error so should not register as a fail</span></div>
 <div class="line"><a name="l00826"></a><span class="lineno">  826</span>&#160;            <span class="keywordflow">if</span> (optional)</div>
 <div class="line"><a name="l00827"></a><span class="lineno">  827</span>&#160;            {</div>
 <div class="line"><a name="l00828"></a><span class="lineno">  828</span>&#160;                valueStart = <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00829"></a><span class="lineno">  829</span>&#160;                <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00830"></a><span class="lineno">  830</span>&#160;            }</div>
 <div class="line"><a name="l00831"></a><span class="lineno">  831</span>&#160;            [[fallthrough]];</div>
 <div class="line"><a name="l00832"></a><span class="lineno">  832</span>&#160;        }</div>
 <div class="line"><a name="l00833"></a><span class="lineno">  833</span>&#160;        <span class="keywordflow">default</span>:</div>
 <div class="line"><a name="l00834"></a><span class="lineno">  834</span>&#160;        {</div>
 <div class="line"><a name="l00835"></a><span class="lineno">  835</span>&#160;            VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: unsupported/invalid operand lifetime:: &quot;</span> &lt;&lt; operand.lifetime;</div>
 <div class="line"><a name="l00836"></a><span class="lineno">  836</span>&#160;            valueStart = <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00837"></a><span class="lineno">  837</span>&#160;        }</div>
 <div class="line"><a name="l00838"></a><span class="lineno">  838</span>&#160;    }</div>
 <div class="line"><a name="l00839"></a><span class="lineno">  839</span>&#160; </div>
 <div class="line"><a name="l00840"></a><span class="lineno">  840</span>&#160;    <span class="keywordflow">return</span> valueStart;</div>
 <div class="line"><a name="l00841"></a><span class="lineno">  841</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.html#l00066">GetMemoryFromPool()</a>, and <a class="el" href="_conversion_utils_8hpp_source.html#l00064">ConversionData::m_MemPools</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00166">ConvertOperandToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00663">DequantizeIfRequired()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00933">GetOptionalBool()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00843">GetTensorInt32Values()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00874">OptionalDataLayout()</a>.</p>

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 <a id="ae28f9841f6cb1775849b7921b54da32e"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#ae28f9841f6cb1775849b7921b54da32e">&#9670;&nbsp;</a></span>GetOptionalBool()</h2>

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           <td class="memname">bool armnn_driver::GetOptionalBool </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00933">933</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;{</div>
 <div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div>
 <div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;    <span class="keywordflow">if</span> (!operand)</div>
 <div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;    {</div>
 <div class="line"><a name="l00941"></a><span class="lineno">  941</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;    }</div>
 <div class="line"><a name="l00943"></a><span class="lineno">  943</span>&#160; </div>
 <div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;    <span class="keywordflow">if</span> (!IsBool(*operand))</div>
 <div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;    {</div>
 <div class="line"><a name="l00946"></a><span class="lineno">  946</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00947"></a><span class="lineno">  947</span>&#160;    }</div>
 <div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160; </div>
 <div class="line"><a name="l00949"></a><span class="lineno">  949</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span>* valueAddress = <a class="code" href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div>
 <div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;    <span class="keywordflow">if</span> (!valueAddress)</div>
 <div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;    {</div>
 <div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00953"></a><span class="lineno">  953</span>&#160;    }</div>
 <div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160; </div>
 <div class="line"><a name="l00955"></a><span class="lineno">  955</span>&#160;    <span class="keywordflow">return</span> *(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">bool</span>*<span class="keyword">&gt;</span>(valueAddress));</div>
 <div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00798">GetOperandValueReadOnlyAddress()</a>.</p>

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 </div>
 <a id="acfe37581bc8296b5d4cdb311b1e3f142"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#acfe37581bc8296b5d4cdb311b1e3f142">&#9670;&nbsp;</a></span>GetOptionalConvolutionDilationParams()</h2>

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           <td class="memname">bool armnn_driver::GetOptionalConvolutionDilationParams </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>dilationXIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">ConvolutionDescriptor &amp;&#160;</td>
           <td class="paramname"><em>descriptor</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
         </tr>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00907">907</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160;{</div>
 <div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;    <span class="keywordtype">bool</span> success = <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;    <span class="keywordflow">if</span> (operation.inputs.size() &gt;= dilationXIndex + 2)</div>
 <div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160;    {</div>
 <div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;        success &amp;= <a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation,</div>
 <div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160;                                  dilationXIndex,</div>
 <div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160;                                  OperandType::INT32,</div>
 <div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160;                                  descriptor.m_DilationX,</div>
 <div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;                                  model,</div>
 <div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;                                  data);</div>
 <div class="line"><a name="l00922"></a><span class="lineno">  922</span>&#160;        success &amp;= <a class="code" href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">GetInputScalar</a>(operation,</div>
 <div class="line"><a name="l00923"></a><span class="lineno">  923</span>&#160;                                  dilationXIndex + 1,</div>
 <div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;                                  OperandType::INT32,</div>
 <div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;                                  descriptor.m_DilationY,</div>
 <div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;                                  model,</div>
 <div class="line"><a name="l00927"></a><span class="lineno">  927</span>&#160;                                  data);</div>
 <div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;    }</div>
 <div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160; </div>
 <div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;    <span class="keywordflow">return</span> success;</div>
 <div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00775">GetInputScalar()</a>.</p>

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 <a id="acd62ec697055015572a6ba61eaba4f1a"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#acd62ec697055015572a6ba61eaba4f1a">&#9670;&nbsp;</a></span>GetOptionalInputActivation()</h2>

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           <td class="memname">bool armnn_driver::GetOptionalInputActivation </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">ActivationFn &amp;&#160;</td>
           <td class="paramname"><em>activationFunction</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
         <tr>
           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00886">886</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;{</div>
 <div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;    <span class="keywordflow">if</span> (operation.inputs.size() &lt;= inputIndex)</div>
 <div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;    {</div>
 <div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;        activationFunction = ActivationFn::kActivationNone;</div>
 <div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160;    }</div>
 <div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;    {</div>
 <div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;        <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn__driver.html#ac092fff5c81f7938eea9a2479f014c66">GetInputActivationFunction</a>(operation, inputIndex, activationFunction, model, data))</div>
 <div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;        {</div>
 <div class="line"><a name="l00900"></a><span class="lineno">  900</span>&#160;            <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: Operation has invalid inputs&quot;</span>, __func__);</div>
 <div class="line"><a name="l00901"></a><span class="lineno">  901</span>&#160;        }</div>
 <div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;    }</div>
 <div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00856">GetInputActivationFunction()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a5890dee5ebd8c09d4b3787136d8170d8">&#9670;&nbsp;</a></span>GetOutputOperand()</h2>

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           <td class="memname">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* armnn_driver::GetOutputOperand </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>outputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</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">inline</span></span>  </td>
   </tr>
 </table>
 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00688">688</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00691"></a><span class="lineno">  691</span>&#160;{</div>
 <div class="line"><a name="l00692"></a><span class="lineno">  692</span>&#160;    <span class="keywordflow">if</span> (outputIndex &gt;= operation.outputs.size())</div>
 <div class="line"><a name="l00693"></a><span class="lineno">  693</span>&#160;    {</div>
 <div class="line"><a name="l00694"></a><span class="lineno">  694</span>&#160;        Fail(<span class="stringliteral">&quot;%s: invalid output index: %i out of %i&quot;</span>, __func__, outputIndex, operation.outputs.size());</div>
 <div class="line"><a name="l00695"></a><span class="lineno">  695</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00696"></a><span class="lineno">  696</span>&#160;    }</div>
 <div class="line"><a name="l00697"></a><span class="lineno">  697</span>&#160; </div>
 <div class="line"><a name="l00698"></a><span class="lineno">  698</span>&#160;    <span class="comment">// Model should have been validated beforehand</span></div>
 <div class="line"><a name="l00699"></a><span class="lineno">  699</span>&#160;    <span class="keywordflow">if</span> (!(operation.outputs[outputIndex] &lt; <a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands.size()))</div>
 <div class="line"><a name="l00700"></a><span class="lineno">  700</span>&#160;    {</div>
 <div class="line"><a name="l00701"></a><span class="lineno">  701</span>&#160;        std::ostringstream os;</div>
 <div class="line"><a name="l00702"></a><span class="lineno">  702</span>&#160;        os &lt;&lt; <span class="stringliteral">&quot;GetOutputOperand: outputIndex [&quot;</span> &lt;&lt; outputIndex &lt;&lt; <span class="stringliteral">&quot;]&quot;</span>;</div>
 <div class="line"><a name="l00703"></a><span class="lineno">  703</span>&#160;        os &lt;&lt; <span class="stringliteral">&quot; is too large. The number of main model operands is [&quot;</span>;</div>
 <div class="line"><a name="l00704"></a><span class="lineno">  704</span>&#160;        os &lt;&lt;  <a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands.size() &lt;&lt; <span class="stringliteral">&quot;]&quot;</span>;</div>
 <div class="line"><a name="l00705"></a><span class="lineno">  705</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(os.str());</div>
 <div class="line"><a name="l00706"></a><span class="lineno">  706</span>&#160;    }</div>
 <div class="line"><a name="l00707"></a><span class="lineno">  707</span>&#160; </div>
 <div class="line"><a name="l00708"></a><span class="lineno">  708</span>&#160;    <span class="keywordflow">return</span> &amp;<a class="code" href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a>(model).operands[operation.outputs[outputIndex]];</div>
 <div class="line"><a name="l00709"></a><span class="lineno">  709</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00030">getMainModel()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00604">ConvertToActivation()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

 </div>
 </div>
 <a id="a93f4874062e34819806d36b74c73dc61"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a93f4874062e34819806d36b74c73dc61">&#9670;&nbsp;</a></span>GetTensorInfoForOperand()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> GetTensorInfoForOperand </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;&#160;</td>
           <td class="paramname"><em>operand</em></td><td>)</td>
           <td></td>
         </tr>
       </table>
 </div><div class="memdoc">

 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00097">97</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;{</div>
 <div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    <span class="keyword">using namespace </span><a class="code" href="namespacearmnn.html">armnn</a>;</div>
 <div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="keywordtype">bool</span> perChannel = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    <span class="keywordtype">bool</span> isScalar   = <span class="keyword">false</span>;</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;    <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> type;</div>
 <div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">switch</span> (operand.type)</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">case</span> OperandType::TENSOR_BOOL8:</div>
 <div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>;</div>
 <div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT32:</div>
 <div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>;</div>
 <div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_FLOAT16:</div>
 <div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>;</div>
 <div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM:</div>
 <div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>;</div>
 <div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL:</div>
 <div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;            perChannel=<span class="keyword">true</span>;</div>
 <div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;            <a class="code" href="_utils_8hpp.html#abbf421eb1186af0d505648ed2ea54a00">ARMNN_FALLTHROUGH</a>;</div>
 <div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_SYMM:</div>
 <div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>;</div>
 <div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT16_SYMM:</div>
 <div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>;</div>
 <div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_INT32:</div>
 <div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div>
 <div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;        <span class="keywordflow">case</span> OperandType::INT32:</div>
 <div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>;</div>
 <div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;            isScalar = <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;        <span class="keywordflow">case</span> OperandType::TENSOR_QUANT8_ASYMM_SIGNED:</div>
 <div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;            type = <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>;</div>
 <div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;            <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;        <span class="keywordflow">default</span>:</div>
 <div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;            <span class="keywordflow">throw</span> UnsupportedOperand&lt;OperandType&gt;(operand.type);</div>
 <div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;    }</div>
 <div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160; </div>
 <div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> ret;</div>
 <div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keywordflow">if</span> (isScalar)</div>
 <div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    {</div>
 <div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;        ret = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a>), type);</div>
 <div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    }</div>
 <div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    {</div>
 <div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;        <span class="keywordflow">if</span> (operand.dimensions.size() == 0)</div>
 <div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        {</div>
 <div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;            <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape(<a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">Dimensionality::NotSpecified</a>);</div>
 <div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;            ret = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(tensorShape, type);</div>
 <div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;        }</div>
 <div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;        <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;        {</div>
 <div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;            std::vector&lt;unsigned char&gt; dimensionsSpecificity(operand.dimensions.size(), <span class="keyword">true</span>);</div>
 <div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;            <span class="keywordtype">int</span> count = 0;</div>
 <div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;            std::for_each(operand.dimensions.data(),</div>
 <div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;                          operand.dimensions.data() +  operand.dimensions.size(),</div>
 <div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;                          [&amp;](<span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> val)</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;                              if (val == 0)</div>
 <div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;                              {</div>
 <div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;                                  dimensionsSpecificity[count] = false;</div>
 <div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;                              }</div>
 <div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;                              count++;</div>
 <div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;                          });</div>
 <div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160; </div>
 <div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;            <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> tensorShape(operand.dimensions.size(),</div>
 <div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;                                    operand.dimensions.data(),</div>
 <div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;                                    <span class="keyword">reinterpret_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">bool</span> *<span class="keyword">&gt;</span>(dimensionsSpecificity.data()));</div>
 <div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;            ret = <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>(tensorShape, type);</div>
 <div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;        }</div>
 <div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    }</div>
 <div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160; </div>
 <div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <span class="keywordflow">if</span> (perChannel)</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;        <span class="comment">// ExtraParams is expected to be of type channelQuant</span></div>
 <div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;        <span class="keyword">const</span> <span class="keyword">auto</span>&amp; perAxisQuantParams = std::get&lt;Operand::SymmPerChannelQuantParams&gt;(operand.extraParams);</div>
 <div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160; </div>
 <div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;        ret.<a class="code" href="classarmnn_1_1_tensor_info.html#a1a8675f9d64c3fb59e6af15362bb6332">SetQuantizationScales</a>(perAxisQuantParams.scales);</div>
 <div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;        ret.<a class="code" href="classarmnn_1_1_tensor_info.html#a519efe8ff6dc3aacdfe8a999415e3e4e">SetQuantizationDim</a>(MakeOptional&lt;unsigned int&gt;(perAxisQuantParams.channelDim));</div>
 <div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    }</div>
 <div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;    {</div>
 <div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;        ret.<a class="code" href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">SetQuantizationScale</a>(operand.scale);</div>
 <div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;        ret.<a class="code" href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">SetQuantizationOffset</a>(operand.zeroPoint);</div>
 <div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;    }</div>
 <div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;    <span class="keywordflow">return</span> ret;</div>
 <div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_utils_8hpp_source.html#l00036">ARMNN_FALLTHROUGH</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Scalar</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00166">ConvertOperandToConstTensorPin()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00604">ConvertToActivation()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">ConvertToLayerInputHandle()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

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 <a id="ac8643aaee3eafc54336c5462b51bd53f"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#ac8643aaee3eafc54336c5462b51bd53f">&#9670;&nbsp;</a></span>GetTensorInt32Values()</h2>

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           <td class="memname">bool GetTensorInt32Values </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;&#160;</td>
           <td class="paramname"><em>operand</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">std::vector&lt; int32_t &gt; &amp;&#160;</td>
           <td class="paramname"><em>outValues</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
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           <td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00843">843</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00847"></a><span class="lineno">  847</span>&#160;{</div>
 <div class="line"><a name="l00848"></a><span class="lineno">  848</span>&#160;    <span class="keywordflow">if</span> (operand.type != OperandType::TENSOR_INT32)</div>
 <div class="line"><a name="l00849"></a><span class="lineno">  849</span>&#160;    {</div>
 <div class="line"><a name="l00850"></a><span class="lineno">  850</span>&#160;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: invalid operand type: &quot;</span> &lt;&lt; operand.type;</div>
 <div class="line"><a name="l00851"></a><span class="lineno">  851</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00852"></a><span class="lineno">  852</span>&#160;    }</div>
 <div class="line"><a name="l00853"></a><span class="lineno">  853</span>&#160; </div>
 <div class="line"><a name="l00854"></a><span class="lineno">  854</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span>* startAddress = <a class="code" href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(operand, model, data);</div>
 <div class="line"><a name="l00855"></a><span class="lineno">  855</span>&#160;    <span class="keywordflow">if</span> (!startAddress)</div>
 <div class="line"><a name="l00856"></a><span class="lineno">  856</span>&#160;    {</div>
 <div class="line"><a name="l00857"></a><span class="lineno">  857</span>&#160;        VLOG(DRIVER) &lt;&lt; __func__ &lt;&lt; <span class="stringliteral">&quot;: failed to get operand address &quot;</span> &lt;&lt; operand.type;</div>
 <div class="line"><a name="l00858"></a><span class="lineno">  858</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00859"></a><span class="lineno">  859</span>&#160;    }</div>
 <div class="line"><a name="l00860"></a><span class="lineno">  860</span>&#160; </div>
 <div class="line"><a name="l00861"></a><span class="lineno">  861</span>&#160;    <span class="comment">// Check number of bytes is sensible</span></div>
 <div class="line"><a name="l00862"></a><span class="lineno">  862</span>&#160;    <span class="keyword">const</span> uint32_t numBytes = operand.location.length;</div>
 <div class="line"><a name="l00863"></a><span class="lineno">  863</span>&#160;    <span class="keywordflow">if</span> (numBytes % <span class="keyword">sizeof</span>(int32_t) != 0)</div>
 <div class="line"><a name="l00864"></a><span class="lineno">  864</span>&#160;    {</div>
 <div class="line"><a name="l00865"></a><span class="lineno">  865</span>&#160;        <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: invalid number of bytes: %i, expected to be a multiple of %i&quot;</span>,</div>
 <div class="line"><a name="l00866"></a><span class="lineno">  866</span>&#160;                    __func__, numBytes, <span class="keyword">sizeof</span>(int32_t));</div>
 <div class="line"><a name="l00867"></a><span class="lineno">  867</span>&#160;    }</div>
 <div class="line"><a name="l00868"></a><span class="lineno">  868</span>&#160; </div>
 <div class="line"><a name="l00869"></a><span class="lineno">  869</span>&#160;    outValues.resize(numBytes / <span class="keyword">sizeof</span>(int32_t));</div>
 <div class="line"><a name="l00870"></a><span class="lineno">  870</span>&#160;    memcpy(outValues.data(), startAddress, numBytes);</div>
 <div class="line"><a name="l00871"></a><span class="lineno">  871</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00872"></a><span class="lineno">  872</span>&#160;}</div>
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 <p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.html#l00798">GetOperandValueReadOnlyAddress()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00350">ConvertPaddings()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a7bf2bd59bc8ca21e0dd906044bfc2faf">&#9670;&nbsp;</a></span>IsConnectedToDequantize()</h2>

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           <td class="memname">bool IsConnectedToDequantize </td>
           <td>(</td>
           <td class="paramtype"><a class="el" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a> *&#160;</td>
           <td class="paramname"><em>ioutputSlot</em></td><td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l01064">1064</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l01065"></a><span class="lineno"> 1065</span>&#160;{</div>
 <div class="line"><a name="l01066"></a><span class="lineno"> 1066</span>&#160;    VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ConversionUtils::IsConnectedToDequantize()&quot;</span>;</div>
 <div class="line"><a name="l01067"></a><span class="lineno"> 1067</span>&#160;    <span class="keywordflow">if</span> (!ioutputSlot)</div>
 <div class="line"><a name="l01068"></a><span class="lineno"> 1068</span>&#160;    {</div>
 <div class="line"><a name="l01069"></a><span class="lineno"> 1069</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l01070"></a><span class="lineno"> 1070</span>&#160;    }</div>
 <div class="line"><a name="l01071"></a><span class="lineno"> 1071</span>&#160;    VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ConversionUtils::IsConnectedToDequantize() ioutputSlot is valid.&quot;</span>;</div>
 <div class="line"><a name="l01072"></a><span class="lineno"> 1072</span>&#160;    <span class="comment">// Find the connections and layers..</span></div>
 <div class="line"><a name="l01073"></a><span class="lineno"> 1073</span>&#160;    <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>&amp; owningLayer = ioutputSlot-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.html#a22b3f11f56aa924c0c1b6ee4d6cc90e1">GetOwningIConnectableLayer</a>();</div>
 <div class="line"><a name="l01074"></a><span class="lineno"> 1074</span>&#160;    <span class="keywordflow">if</span> (owningLayer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a>)</div>
 <div class="line"><a name="l01075"></a><span class="lineno"> 1075</span>&#160;    {</div>
 <div class="line"><a name="l01076"></a><span class="lineno"> 1076</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ConversionUtils::IsConnectedToDequantize() connected to Dequantize Layer.&quot;</span>;</div>
 <div class="line"><a name="l01077"></a><span class="lineno"> 1077</span>&#160;        <a class="code" href="classarmnn_1_1_i_input_slot.html">armnn::IInputSlot</a>&amp; inputSlot = owningLayer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0);</div>
 <div class="line"><a name="l01078"></a><span class="lineno"> 1078</span>&#160;        <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>* connection = inputSlot.<a class="code" href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>();</div>
 <div class="line"><a name="l01079"></a><span class="lineno"> 1079</span>&#160;        <span class="keywordflow">if</span> (connection)</div>
 <div class="line"><a name="l01080"></a><span class="lineno"> 1080</span>&#160;        {</div>
 <div class="line"><a name="l01081"></a><span class="lineno"> 1081</span>&#160;            VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ConversionUtils::IsConnectedToDequantize() Dequantize Layer has a connection.&quot;</span>;</div>
 <div class="line"><a name="l01082"></a><span class="lineno"> 1082</span>&#160;            <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>&amp; connectedLayer =</div>
 <div class="line"><a name="l01083"></a><span class="lineno"> 1083</span>&#160;                    connection-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.html#a22b3f11f56aa924c0c1b6ee4d6cc90e1">GetOwningIConnectableLayer</a>();</div>
 <div class="line"><a name="l01084"></a><span class="lineno"> 1084</span>&#160;            <span class="keywordflow">if</span> (connectedLayer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">GetType</a>() == <a class="code" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a>)</div>
 <div class="line"><a name="l01085"></a><span class="lineno"> 1085</span>&#160;            {</div>
 <div class="line"><a name="l01086"></a><span class="lineno"> 1086</span>&#160;                VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;ConversionUtils::IsConnectedToDequantize() Dequantize Layer connected to Constant&quot;</span>;</div>
 <div class="line"><a name="l01087"></a><span class="lineno"> 1087</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l01088"></a><span class="lineno"> 1088</span>&#160;            }</div>
 <div class="line"><a name="l01089"></a><span class="lineno"> 1089</span>&#160;        }</div>
 <div class="line"><a name="l01090"></a><span class="lineno"> 1090</span>&#160;    }</div>
 <div class="line"><a name="l01091"></a><span class="lineno"> 1091</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l01092"></a><span class="lineno"> 1092</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::Constant</a>, <a class="el" href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::Dequantize</a>, <a class="el" href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">IInputSlot::GetConnection()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a22b3f11f56aa924c0c1b6ee4d6cc90e1">IOutputSlot::GetOwningIConnectableLayer()</a>, and <a class="el" href="classarmnn_1_1_i_connectable_layer.html#adceb04ae84c524e4d01881e3754a4d59">IConnectableLayer::GetType()</a>.</p>

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 <a id="a208149d5c08f84debf8b265bb508fe02"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a208149d5c08f84debf8b265bb508fe02">&#9670;&nbsp;</a></span>IsDynamicTensor()</h2>

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           <td class="memname">bool IsDynamicTensor </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
           <td class="paramname"><em>tensorInfo</em></td><td>)</td>
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 <p>Checks if a tensor info represents a dynamic tensor. </p>

 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00491">491</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00492"></a><span class="lineno">  492</span>&#160;{</div>
 <div class="line"><a name="l00493"></a><span class="lineno">  493</span>&#160;    <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">GetDimensionality</a>() == <a class="code" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a>)</div>
 <div class="line"><a name="l00494"></a><span class="lineno">  494</span>&#160;    {</div>
 <div class="line"><a name="l00495"></a><span class="lineno">  495</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</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;    <span class="comment">// Account for the usage of the TensorShape empty constructor</span></div>
 <div class="line"><a name="l00498"></a><span class="lineno">  498</span>&#160;    <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 0)</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> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00501"></a><span class="lineno">  501</span>&#160;    }</div>
 <div class="line"><a name="l00502"></a><span class="lineno">  502</span>&#160;    <span class="keywordflow">return</span> !tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">AreAllDimensionsSpecified</a>();</div>
 <div class="line"><a name="l00503"></a><span class="lineno">  503</span>&#160;}</div>
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 <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00241">TensorShape::AreAllDimensionsSpecified()</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorShape::GetDimensionality()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, and <a class="el" href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::NotSpecified</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00604">ConvertToActivation()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00216">ConvertToLayerInputHandle()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a9ddfceb499ef7b3d01053399bc79b852">&#9670;&nbsp;</a></span>IsOperandConstant()</h2>

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           <td class="memname">bool armnn_driver::IsOperandConstant </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;&#160;</td>
           <td class="paramname"><em>operand</em></td><td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00731">731</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00732"></a><span class="lineno">  732</span>&#160;{</div>
 <div class="line"><a name="l00733"></a><span class="lineno">  733</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a275cd95635b854a80bb33f171d861ddc">OperandLifeTime</a> lifetime = operand.lifetime;</div>
 <div class="line"><a name="l00734"></a><span class="lineno">  734</span>&#160; </div>
 <div class="line"><a name="l00735"></a><span class="lineno">  735</span>&#160;    <span class="keywordflow">return</span> lifetime == OperandLifeTime::CONSTANT_COPY ||</div>
 <div class="line"><a name="l00736"></a><span class="lineno">  736</span>&#160;           lifetime == OperandLifeTime::CONSTANT_REFERENCE ||</div>
 <div class="line"><a name="l00737"></a><span class="lineno">  737</span>&#160;           lifetime == OperandLifeTime::POINTER ||</div>
 <div class="line"><a name="l00738"></a><span class="lineno">  738</span>&#160;           lifetime == OperandLifeTime::NO_VALUE;</div>
 <div class="line"><a name="l00739"></a><span class="lineno">  739</span>&#160;}</div>
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 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00166">ConvertOperandToConstTensorPin()</a>, and <a class="el" href="_conversion_utils_8cpp_source.html#l00663">DequantizeIfRequired()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a267f6b68937e2126b6ca890a6b11ea9c">&#9670;&nbsp;</a></span>IsQSymm8()</h2>

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           <td class="memname">bool armnn_driver::IsQSymm8 </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a> &amp;&#160;</td>
           <td class="paramname"><em>operand</em></td><td>)</td>
           <td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l01035">1035</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;{</div>
 <div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;    <span class="keywordflow">return</span> operand.type == OperandType::TENSOR_QUANT8_SYMM;</div>
 <div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;}</div>
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 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00663">DequantizeIfRequired()</a>.</p>

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 <a id="ab3c135a0d4b1152f6b989ea6afddd6bc"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#ab3c135a0d4b1152f6b989ea6afddd6bc">&#9670;&nbsp;</a></span>isQuantizedOperand()</h2>

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           <td class="memname">bool isQuantizedOperand </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a53bfb6eb38a90244ba166b641a6965d9">OperandType</a> &amp;&#160;</td>
           <td class="paramname"><em>operandType</em></td><td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00510">510</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00511"></a><span class="lineno">  511</span>&#160;{</div>
 <div class="line"><a name="l00512"></a><span class="lineno">  512</span>&#160;    <span class="keywordflow">if</span> (operandType == OperandType::TENSOR_QUANT8_ASYMM ||</div>
 <div class="line"><a name="l00513"></a><span class="lineno">  513</span>&#160;        operandType == OperandType::TENSOR_QUANT8_SYMM_PER_CHANNEL ||</div>
 <div class="line"><a name="l00514"></a><span class="lineno">  514</span>&#160;        operandType == OperandType::TENSOR_QUANT8_SYMM ||</div>
 <div class="line"><a name="l00515"></a><span class="lineno">  515</span>&#160;        operandType == OperandType::TENSOR_QUANT16_SYMM ||</div>
 <div class="line"><a name="l00516"></a><span class="lineno">  516</span>&#160;        operandType == OperandType::TENSOR_QUANT8_ASYMM_SIGNED)</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;        <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00519"></a><span class="lineno">  519</span>&#160;    }</div>
 <div class="line"><a name="l00520"></a><span class="lineno">  520</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00521"></a><span class="lineno">  521</span>&#160;    {</div>
 <div class="line"><a name="l00522"></a><span class="lineno">  522</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00523"></a><span class="lineno">  523</span>&#160;    }</div>
 <div class="line"><a name="l00524"></a><span class="lineno">  524</span>&#160;}</div>
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 <h2 class="memtitle"><span class="permalink"><a href="#ae780aad3075e52e802f9c0ed5d88e570">&#9670;&nbsp;</a></span>IsWeightsValid()</h2>

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           <td class="memname">bool IsWeightsValid </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const bool&#160;</td>
           <td class="paramname"><em>isOptional</em> = <code>true</code>&#160;</td>
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           <td></td>
           <td>)</td>
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 <p>Utility functions. </p>

 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00141">141</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;{</div>
 <div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div>
 <div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;    <span class="keywordflow">if</span> (!operand)</div>
 <div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    {</div>
 <div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        Fail(<span class="stringliteral">&quot;%s: failed to get input operand %i&quot;</span>, __func__, inputIndex);</div>
 <div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;    }</div>
 <div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="comment">// If the operand is not an optional operand it cannot have a NO_VALUE lifetime</span></div>
 <div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;    <span class="keywordflow">if</span> (!isOptional &amp;&amp; operand-&gt;lifetime == OperandLifeTime::NO_VALUE)</div>
 <div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    {</div>
 <div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <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;    <span class="keywordflow">if</span> (operand-&gt;lifetime    != OperandLifeTime::CONSTANT_COPY</div>
 <div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        &amp;&amp; operand-&gt;lifetime != OperandLifeTime::CONSTANT_REFERENCE</div>
 <div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;        &amp;&amp; operand-&gt;lifetime != OperandLifeTime::NO_VALUE)</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;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    }</div>
 <div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;}</div>
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 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a3f3a756df9dee4b33566cddd786b83c9">&#9670;&nbsp;</a></span>OptionalDataLayout()</h2>

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           <td class="memname"><a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> OptionalDataLayout </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>inputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
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           <td></td>
           <td>)</td>
           <td></td><td></td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00874">874</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00878"></a><span class="lineno">  878</span>&#160;{</div>
 <div class="line"><a name="l00879"></a><span class="lineno">  879</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* operand = <a class="code" href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">GetInputOperand</a>(operation, inputIndex, model);</div>
 <div class="line"><a name="l00880"></a><span class="lineno">  880</span>&#160;    <span class="keywordflow">if</span> (!operand)</div>
 <div class="line"><a name="l00881"></a><span class="lineno">  881</span>&#160;    {</div>
 <div class="line"><a name="l00882"></a><span class="lineno">  882</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div>
 <div class="line"><a name="l00883"></a><span class="lineno">  883</span>&#160;    }</div>
 <div class="line"><a name="l00884"></a><span class="lineno">  884</span>&#160; </div>
 <div class="line"><a name="l00885"></a><span class="lineno">  885</span>&#160;    <span class="keywordflow">if</span> (!IsBool(*operand))</div>
 <div class="line"><a name="l00886"></a><span class="lineno">  886</span>&#160;    {</div>
 <div class="line"><a name="l00887"></a><span class="lineno">  887</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div>
 <div class="line"><a name="l00888"></a><span class="lineno">  888</span>&#160;    }</div>
 <div class="line"><a name="l00889"></a><span class="lineno">  889</span>&#160; </div>
 <div class="line"><a name="l00890"></a><span class="lineno">  890</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">void</span>* valueAddress = <a class="code" href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">GetOperandValueReadOnlyAddress</a>(*operand, model, data);</div>
 <div class="line"><a name="l00891"></a><span class="lineno">  891</span>&#160;    <span class="keywordflow">if</span> (!valueAddress)</div>
 <div class="line"><a name="l00892"></a><span class="lineno">  892</span>&#160;    {</div>
 <div class="line"><a name="l00893"></a><span class="lineno">  893</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div>
 <div class="line"><a name="l00894"></a><span class="lineno">  894</span>&#160;    }</div>
 <div class="line"><a name="l00895"></a><span class="lineno">  895</span>&#160; </div>
 <div class="line"><a name="l00896"></a><span class="lineno">  896</span>&#160;    <span class="keywordflow">if</span> (*(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">bool</span>*<span class="keyword">&gt;</span>(valueAddress)))</div>
 <div class="line"><a name="l00897"></a><span class="lineno">  897</span>&#160;    {</div>
 <div class="line"><a name="l00898"></a><span class="lineno">  898</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a>;</div>
 <div class="line"><a name="l00899"></a><span class="lineno">  899</span>&#160;    }</div>
 <div class="line"><a name="l00900"></a><span class="lineno">  900</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l00901"></a><span class="lineno">  901</span>&#160;    {</div>
 <div class="line"><a name="l00902"></a><span class="lineno">  902</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a>;</div>
 <div class="line"><a name="l00903"></a><span class="lineno">  903</span>&#160;    }</div>
 <div class="line"><a name="l00904"></a><span class="lineno">  904</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_conversion_utils_8hpp_source.html#l00662">GetInputOperand()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00798">GetOperandValueReadOnlyAddress()</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>.</p>

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 <a id="aac972ee73e8bd2374bc40ab844a7d894"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#aac972ee73e8bd2374bc40ab844a7d894">&#9670;&nbsp;</a></span>ProcessActivation()</h2>

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           <td class="memname"><a class="el" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> * ProcessActivation </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
           <td class="paramname"><em>tensorInfo</em>, </td>
         </tr>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">ActivationFn&#160;</td>
           <td class="paramname"><em>activation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> *&#160;</td>
           <td class="paramname"><em>prevLayer</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>&#160;</td>
         </tr>
         <tr>
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           <td>)</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8cpp_source.html#l00906">906</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00910"></a><span class="lineno">  910</span>&#160;{</div>
 <div class="line"><a name="l00911"></a><span class="lineno">  911</span>&#160;    <span class="keywordflow">if</span> (prevLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>() != 1)</div>
 <div class="line"><a name="l00912"></a><span class="lineno">  912</span>&#160;    {</div>
 <div class="line"><a name="l00913"></a><span class="lineno">  913</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;ProcessActivation: previous layer does not have a single output slot&quot;</span>);</div>
 <div class="line"><a name="l00914"></a><span class="lineno">  914</span>&#160;    }</div>
 <div class="line"><a name="l00915"></a><span class="lineno">  915</span>&#160; </div>
 <div class="line"><a name="l00916"></a><span class="lineno">  916</span>&#160;    prevLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(tensorInfo);</div>
 <div class="line"><a name="l00917"></a><span class="lineno">  917</span>&#160; </div>
 <div class="line"><a name="l00918"></a><span class="lineno">  918</span>&#160;    <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* activationLayer = prevLayer;</div>
 <div class="line"><a name="l00919"></a><span class="lineno">  919</span>&#160; </div>
 <div class="line"><a name="l00920"></a><span class="lineno">  920</span>&#160;    <span class="keywordflow">if</span> (activation != ActivationFn::kActivationNone)</div>
 <div class="line"><a name="l00921"></a><span class="lineno">  921</span>&#160;    {</div>
 <div class="line"><a name="l00922"></a><span class="lineno">  922</span>&#160;        <a class="code" href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a> activationDesc;</div>
 <div class="line"><a name="l00923"></a><span class="lineno">  923</span>&#160;        <span class="keywordflow">switch</span> (activation)</div>
 <div class="line"><a name="l00924"></a><span class="lineno">  924</span>&#160;        {</div>
 <div class="line"><a name="l00925"></a><span class="lineno">  925</span>&#160;            <span class="keywordflow">case</span> ActivationFn::kActivationRelu:</div>
 <div class="line"><a name="l00926"></a><span class="lineno">  926</span>&#160;            {</div>
 <div class="line"><a name="l00927"></a><span class="lineno">  927</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a>;</div>
 <div class="line"><a name="l00928"></a><span class="lineno">  928</span>&#160;                <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00929"></a><span class="lineno">  929</span>&#160;            }</div>
 <div class="line"><a name="l00930"></a><span class="lineno">  930</span>&#160;            <span class="keywordflow">case</span> ActivationFn::kActivationRelu1:</div>
 <div class="line"><a name="l00931"></a><span class="lineno">  931</span>&#160;            {</div>
 <div class="line"><a name="l00932"></a><span class="lineno">  932</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div>
 <div class="line"><a name="l00933"></a><span class="lineno">  933</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div>
 <div class="line"><a name="l00934"></a><span class="lineno">  934</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = -1.0f;</div>
 <div class="line"><a name="l00935"></a><span class="lineno">  935</span>&#160;                <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00936"></a><span class="lineno">  936</span>&#160;            }</div>
 <div class="line"><a name="l00937"></a><span class="lineno">  937</span>&#160;            <span class="keywordflow">case</span> ActivationFn::kActivationRelu6:</div>
 <div class="line"><a name="l00938"></a><span class="lineno">  938</span>&#160;            {</div>
 <div class="line"><a name="l00939"></a><span class="lineno">  939</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a>;</div>
 <div class="line"><a name="l00940"></a><span class="lineno">  940</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = 6.0f;</div>
 <div class="line"><a name="l00941"></a><span class="lineno">  941</span>&#160;                <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00942"></a><span class="lineno">  942</span>&#160;            }</div>
 <div class="line"><a name="l00943"></a><span class="lineno">  943</span>&#160;            <span class="keywordflow">case</span> ActivationFn::kActivationSigmoid:</div>
 <div class="line"><a name="l00944"></a><span class="lineno">  944</span>&#160;            {</div>
 <div class="line"><a name="l00945"></a><span class="lineno">  945</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a>;</div>
 <div class="line"><a name="l00946"></a><span class="lineno">  946</span>&#160;                <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00947"></a><span class="lineno">  947</span>&#160;            }</div>
 <div class="line"><a name="l00948"></a><span class="lineno">  948</span>&#160;            <span class="keywordflow">case</span> ActivationFn::kActivationTanh:</div>
 <div class="line"><a name="l00949"></a><span class="lineno">  949</span>&#160;            {</div>
 <div class="line"><a name="l00950"></a><span class="lineno">  950</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">m_Function</a> = <a class="code" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a>;</div>
 <div class="line"><a name="l00951"></a><span class="lineno">  951</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">m_A</a> = 1.0f;</div>
 <div class="line"><a name="l00952"></a><span class="lineno">  952</span>&#160;                activationDesc.<a class="code" href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">m_B</a> = 1.0f;</div>
 <div class="line"><a name="l00953"></a><span class="lineno">  953</span>&#160;                <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00954"></a><span class="lineno">  954</span>&#160;            }</div>
 <div class="line"><a name="l00955"></a><span class="lineno">  955</span>&#160;            <span class="keywordflow">default</span>:</div>
 <div class="line"><a name="l00956"></a><span class="lineno">  956</span>&#160;            {</div>
 <div class="line"><a name="l00957"></a><span class="lineno">  957</span>&#160;                Fail(<span class="stringliteral">&quot;%s: Invalid activation enum value %i&quot;</span>, __func__, activation);</div>
 <div class="line"><a name="l00958"></a><span class="lineno">  958</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00959"></a><span class="lineno">  959</span>&#160;            }</div>
 <div class="line"><a name="l00960"></a><span class="lineno">  960</span>&#160;        }</div>
 <div class="line"><a name="l00961"></a><span class="lineno">  961</span>&#160; </div>
 <div class="line"><a name="l00962"></a><span class="lineno">  962</span>&#160;        <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l00963"></a><span class="lineno">  963</span>&#160;        <a class="code" href="classarmnn_1_1_backend_id.html">armnn::BackendId</a> setBackend;</div>
 <div class="line"><a name="l00964"></a><span class="lineno">  964</span>&#160;        <a class="code" href="_conversion_utils_8hpp.html#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a>(__func__,</div>
 <div class="line"><a name="l00965"></a><span class="lineno">  965</span>&#160;                                   IsActivationSupported,</div>
 <div class="line"><a name="l00966"></a><span class="lineno">  966</span>&#160;                                   data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#af3239731a47cf4c08a040c42ee855edc">m_Backends</a>,</div>
 <div class="line"><a name="l00967"></a><span class="lineno">  967</span>&#160;                                   isSupported,</div>
 <div class="line"><a name="l00968"></a><span class="lineno">  968</span>&#160;                                   setBackend,</div>
 <div class="line"><a name="l00969"></a><span class="lineno">  969</span>&#160;                                   prevLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>(),</div>
 <div class="line"><a name="l00970"></a><span class="lineno">  970</span>&#160;                                   tensorInfo,</div>
 <div class="line"><a name="l00971"></a><span class="lineno">  971</span>&#160;                                   activationDesc);</div>
 <div class="line"><a name="l00972"></a><span class="lineno">  972</span>&#160;        <span class="keywordflow">if</span> (!isSupported)</div>
 <div class="line"><a name="l00973"></a><span class="lineno">  973</span>&#160;        {</div>
 <div class="line"><a name="l00974"></a><span class="lineno">  974</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
 <div class="line"><a name="l00975"></a><span class="lineno">  975</span>&#160;        }</div>
 <div class="line"><a name="l00976"></a><span class="lineno">  976</span>&#160; </div>
 <div class="line"><a name="l00977"></a><span class="lineno">  977</span>&#160;        activationLayer = data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a2db3ae8d422f17d455e0ba0cb6291d2a">m_Network</a>-&gt;AddActivationLayer(activationDesc);</div>
 <div class="line"><a name="l00978"></a><span class="lineno">  978</span>&#160;        activationLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">SetBackendId</a>(setBackend);</div>
 <div class="line"><a name="l00979"></a><span class="lineno">  979</span>&#160; </div>
 <div class="line"><a name="l00980"></a><span class="lineno">  980</span>&#160;        prevLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">Connect</a>(activationLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(0));</div>
 <div class="line"><a name="l00981"></a><span class="lineno">  981</span>&#160;        activationLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(0).<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(tensorInfo);</div>
 <div class="line"><a name="l00982"></a><span class="lineno">  982</span>&#160;    }</div>
 <div class="line"><a name="l00983"></a><span class="lineno">  983</span>&#160; </div>
 <div class="line"><a name="l00984"></a><span class="lineno">  984</span>&#160;    <span class="keywordflow">return</span> activationLayer;</div>
 <div class="line"><a name="l00985"></a><span class="lineno">  985</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::BoundedReLu</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">IOutputSlot::Connect()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00155">FORWARD_LAYER_SUPPORT_FUNC</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer::GetNumOutputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_descriptors_8hpp_source.html#l00061">ActivationDescriptor::m_A</a>, <a class="el" href="_descriptors_8hpp_source.html#l00063">ActivationDescriptor::m_B</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00061">ConversionData::m_Backends</a>, <a class="el" href="_descriptors_8hpp_source.html#l00059">ActivationDescriptor::m_Function</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00062">ConversionData::m_Network</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ReLu</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">IConnectableLayer::SetBackendId()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>, <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::Sigmoid</a>, and <a class="el" href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::TanH</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

 </div>
 </div>
 <a id="a3d30e31a46482fbc714fc34e0d5a1c90"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a3d30e31a46482fbc714fc34e0d5a1c90">&#9670;&nbsp;</a></span>RenameExportedFiles()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">void RenameExportedFiles </td>
           <td>(</td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>existingSerializedFileName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>existingDotFileName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a>&#160;</td>
           <td class="paramname"><em>networkId</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="_canonical_utils_8cpp_source.html#l00580">580</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00584"></a><span class="lineno">  584</span>&#160;{</div>
 <div class="line"><a name="l00585"></a><span class="lineno">  585</span>&#160;    <span class="keywordflow">if</span> (dumpDir.empty())</div>
 <div class="line"><a name="l00586"></a><span class="lineno">  586</span>&#160;    {</div>
 <div class="line"><a name="l00587"></a><span class="lineno">  587</span>&#160;        <span class="keywordflow">return</span>;</div>
 <div class="line"><a name="l00588"></a><span class="lineno">  588</span>&#160;    }</div>
 <div class="line"><a name="l00589"></a><span class="lineno">  589</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingSerializedFileName, std::string(<span class="stringliteral">&quot;_network.armnn&quot;</span>), dumpDir, networkId);</div>
 <div class="line"><a name="l00590"></a><span class="lineno">  590</span>&#160;    <a class="code" href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">RenameFile</a>(existingDotFileName, std::string(<span class="stringliteral">&quot;_networkgraph.dot&quot;</span>), dumpDir, networkId);</div>
 <div class="line"><a name="l00591"></a><span class="lineno">  591</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_canonical_utils_8cpp_source.html#l00593">RenameFile()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_armnn_driver_impl_8cpp_source.html#l00099">ArmnnDriverImpl::PrepareArmnnModel()</a>.</p>

 </div>
 </div>
 <a id="a00b317cd97319ac7b6a248a768ceb201"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a00b317cd97319ac7b6a248a768ceb201">&#9670;&nbsp;</a></span>RenameFile()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">void RenameFile </td>
           <td>(</td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>existingName</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>extension</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn.html#a0d8160388a127c1a23b37bc88dc6e2ec">armnn::NetworkId</a>&#160;</td>
           <td class="paramname"><em>networkId</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="_canonical_utils_8cpp_source.html#l00593">593</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00597"></a><span class="lineno">  597</span>&#160;{</div>
 <div class="line"><a name="l00598"></a><span class="lineno">  598</span>&#160;    <span class="keywordflow">if</span> (existingName.empty() || dumpDir.empty())</div>
 <div class="line"><a name="l00599"></a><span class="lineno">  599</span>&#160;    {</div>
 <div class="line"><a name="l00600"></a><span class="lineno">  600</span>&#160;        <span class="keywordflow">return</span>;</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; </div>
 <div class="line"><a name="l00603"></a><span class="lineno">  603</span>&#160;    fs::path dumpPath = dumpDir;</div>
 <div class="line"><a name="l00604"></a><span class="lineno">  604</span>&#160;    <span class="keyword">const</span> fs::path newFileName = dumpPath / (std::to_string(networkId) + extension);</div>
 <div class="line"><a name="l00605"></a><span class="lineno">  605</span>&#160;    <span class="keywordtype">int</span> iRet = rename(existingName.c_str(), newFileName.c_str());</div>
 <div class="line"><a name="l00606"></a><span class="lineno">  606</span>&#160;    <span class="keywordflow">if</span> (iRet != 0)</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;        std::stringstream ss;</div>
 <div class="line"><a name="l00609"></a><span class="lineno">  609</span>&#160;        ss &lt;&lt; <span class="stringliteral">&quot;rename of [&quot;</span> &lt;&lt; existingName &lt;&lt; <span class="stringliteral">&quot;] to [&quot;</span> &lt;&lt; newFileName &lt;&lt; <span class="stringliteral">&quot;] failed with errno &quot;</span></div>
 <div class="line"><a name="l00610"></a><span class="lineno">  610</span>&#160;           &lt;&lt; std::to_string(errno) &lt;&lt; <span class="stringliteral">&quot; : &quot;</span> &lt;&lt; std::strerror(errno);</div>
 <div class="line"><a name="l00611"></a><span class="lineno">  611</span>&#160;        VLOG(DRIVER) &lt;&lt; ss.str().c_str();</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;}</div>
 </div><!-- fragment -->
 <p class="reference">Referenced by <a class="el" href="_canonical_utils_8cpp_source.html#l00580">RenameExportedFiles()</a>.</p>

 </div>
 </div>
 <a id="a31f074135a3dba97d9baf1dffd0a07fd"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a31f074135a3dba97d9baf1dffd0a07fd">&#9670;&nbsp;</a></span>SerializeNetwork()</h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">std::string SerializeNetwork </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_i_network.html">armnn::INetwork</a> &amp;&#160;</td>
           <td class="paramname"><em>network</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::string &amp;&#160;</td>
           <td class="paramname"><em>dumpDir</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">std::vector&lt; uint8_t &gt; &amp;&#160;</td>
           <td class="paramname"><em>dataCacheData</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>dataCachingActive</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="_canonical_utils_8cpp_source.html#l00432">432</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><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;    std::string fileName;</div>
 <div class="line"><a name="l00438"></a><span class="lineno">  438</span>&#160;    <span class="keywordtype">bool</span> bSerializeToFile = <span class="keyword">true</span>;</div>
 <div class="line"><a name="l00439"></a><span class="lineno">  439</span>&#160;    <span class="keywordflow">if</span> (dumpDir.empty())</div>
 <div class="line"><a name="l00440"></a><span class="lineno">  440</span>&#160;    {</div>
 <div class="line"><a name="l00441"></a><span class="lineno">  441</span>&#160;        bSerializeToFile = <span class="keyword">false</span>;</div>
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 <div class="line"><a name="l00447"></a><span class="lineno">  447</span>&#160;        {</div>
 <div class="line"><a name="l00448"></a><span class="lineno">  448</span>&#160;            bSerializeToFile = <span class="keyword">false</span>;</div>
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 <div class="line"><a name="l00450"></a><span class="lineno">  450</span>&#160;    }</div>
 <div class="line"><a name="l00451"></a><span class="lineno">  451</span>&#160;    <span class="keywordflow">if</span> (!bSerializeToFile &amp;&amp; !dataCachingActive)</div>
 <div class="line"><a name="l00452"></a><span class="lineno">  452</span>&#160;    {</div>
 <div class="line"><a name="l00453"></a><span class="lineno">  453</span>&#160;        <span class="keywordflow">return</span> fileName;</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; </div>
 <div class="line"><a name="l00456"></a><span class="lineno">  456</span>&#160;    <span class="keyword">auto</span> <a class="code" href="namespacearmnn_serializer.html">serializer</a>(<a class="code" href="classarmnn_serializer_1_1_i_serializer.html#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a>());</div>
 <div class="line"><a name="l00457"></a><span class="lineno">  457</span>&#160;    <span class="comment">// Serialize the Network</span></div>
 <div class="line"><a name="l00458"></a><span class="lineno">  458</span>&#160;    <a class="code" href="namespacearmnn_serializer.html">serializer</a>-&gt;Serialize(network);</div>
 <div class="line"><a name="l00459"></a><span class="lineno">  459</span>&#160;    <span class="keywordflow">if</span> (dataCachingActive)</div>
 <div class="line"><a name="l00460"></a><span class="lineno">  460</span>&#160;    {</div>
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 <div class="line"><a name="l00463"></a><span class="lineno">  463</span>&#160;        <span class="keywordflow">if</span> (serialized)</div>
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 <div class="line"><a name="l00467"></a><span class="lineno">  467</span>&#160;                      serializedString.end(),</div>
 <div class="line"><a name="l00468"></a><span class="lineno">  468</span>&#160;                      std::back_inserter(dataCacheData));</div>
 <div class="line"><a name="l00469"></a><span class="lineno">  469</span>&#160;        }</div>
 <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; </div>
 <div class="line"><a name="l00472"></a><span class="lineno">  472</span>&#160;    <span class="keywordflow">if</span> (bSerializeToFile)</div>
 <div class="line"><a name="l00473"></a><span class="lineno">  473</span>&#160;    {</div>
 <div class="line"><a name="l00474"></a><span class="lineno">  474</span>&#160;        <span class="comment">// Set the name of the output .armnn file.</span></div>
 <div class="line"><a name="l00475"></a><span class="lineno">  475</span>&#160;        fs::path dumpPath = dumpDir;</div>
 <div class="line"><a name="l00476"></a><span class="lineno">  476</span>&#160;        std::string timestamp = <a class="code" href="namespacearmnn__driver.html#a419cd7b9bad83f31f6db8ba9a3b9517a">GetFileTimestamp</a>();</div>
 <div class="line"><a name="l00477"></a><span class="lineno">  477</span>&#160;        fs::path tempFilePath = dumpPath / (timestamp + <span class="stringliteral">&quot;_network.armnn&quot;</span>);</div>
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 <div class="line"><a name="l00483"></a><span class="lineno">  483</span>&#160;        <span class="keywordflow">if</span> (!serialized)</div>
 <div class="line"><a name="l00484"></a><span class="lineno">  484</span>&#160;        {</div>
 <div class="line"><a name="l00485"></a><span class="lineno">  485</span>&#160;            VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;An error occurred when serializing to file %s&quot;</span> &lt;&lt; fileName.c_str();</div>
 <div class="line"><a name="l00486"></a><span class="lineno">  486</span>&#160;        }</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;    <span class="keywordflow">return</span> fileName;</div>
 <div class="line"><a name="l00489"></a><span class="lineno">  489</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="_serializer_8cpp_source.html#l00035">ISerializer::Create()</a>, and <a class="el" href="_canonical_utils_8cpp_source.html#l00560">GetFileTimestamp()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_armnn_driver_impl_8cpp_source.html#l00099">ArmnnDriverImpl::PrepareArmnnModel()</a>.</p>

 </div>
 </div>
 <a id="a5378da53b59c1c826e6320383ca0257e"></a>
 <h2 class="memtitle"><span class="permalink"><a href="#a5378da53b59c1c826e6320383ca0257e">&#9670;&nbsp;</a></span>SetupAndTrackLayerOutputSlot() <span class="overload">[1/2]</span></h2>

 <div class="memitem">
 <div class="memproto">
       <table class="memname">
         <tr>
           <td class="memname">bool SetupAndTrackLayerOutputSlot </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>operationOutputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> &amp;&#160;</td>
           <td class="paramname"><em>layer</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>layerOutputIndex</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> *&#160;</td>
           <td class="paramname"><em>overrideOutputInfo</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const std::function&lt; void(const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;, bool &amp;)&gt; &amp;&#160;</td>
           <td class="paramname"><em>validateFunc</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const ActivationFn &amp;&#160;</td>
           <td class="paramname"><em>activationFunction</em>, </td>
         </tr>
         <tr>
           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">bool&#160;</td>
           <td class="paramname"><em>inferOutputShapes</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="_conversion_utils_8cpp_source.html#l00987">987</a> of file <a class="el" href="_conversion_utils_8cpp_source.html">ConversionUtils.cpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l00997"></a><span class="lineno">  997</span>&#160;{</div>
 <div class="line"><a name="l00998"></a><span class="lineno">  998</span>&#160;    <span class="keyword">const</span> <a class="code" href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">Operand</a>* outputOperand = <a class="code" href="namespacearmnn__driver.html#a5890dee5ebd8c09d4b3787136d8170d8">GetOutputOperand</a>(operation, operationOutputIndex, model);</div>
 <div class="line"><a name="l00999"></a><span class="lineno">  999</span>&#160;    <span class="keywordflow">if</span> ((outputOperand == <span class="keyword">nullptr</span>) || (operationOutputIndex &gt;= layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">GetNumOutputSlots</a>()))</div>
 <div class="line"><a name="l01000"></a><span class="lineno"> 1000</span>&#160;    {</div>
 <div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;    }</div>
 <div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160; </div>
 <div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;    <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>&amp; outputSlot = layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(layerOutputIndex);</div>
 <div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160;    <span class="keywordflow">if</span> (overrideOutputInfo == <span class="keyword">nullptr</span>)</div>
 <div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;    {</div>
 <div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;        outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(<a class="code" href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">GetTensorInfoForOperand</a>(*outputOperand));</div>
 <div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;    }</div>
 <div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;    {</div>
 <div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;        outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">SetTensorInfo</a>(*overrideOutputInfo);</div>
 <div class="line"><a name="l01012"></a><span class="lineno"> 1012</span>&#160;    }</div>
 <div class="line"><a name="l01013"></a><span class="lineno"> 1013</span>&#160; </div>
 <div class="line"><a name="l01014"></a><span class="lineno"> 1014</span>&#160;    <span class="keywordtype">bool</span> isSupported = <span class="keyword">false</span>;</div>
 <div class="line"><a name="l01015"></a><span class="lineno"> 1015</span>&#160;    <span class="keywordflow">if</span> (validateFunc &amp;&amp; (<a class="code" href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">IsDynamicTensor</a>(outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>()) || inferOutputShapes))</div>
 <div class="line"><a name="l01016"></a><span class="lineno"> 1016</span>&#160;    {</div>
 <div class="line"><a name="l01017"></a><span class="lineno"> 1017</span>&#160;        <span class="comment">// Type one dynamic tensors require the previous layer&#39;s output shape for inference</span></div>
 <div class="line"><a name="l01018"></a><span class="lineno"> 1018</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputSlotIndex = 0; inputSlotIndex &lt; layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++inputSlotIndex)</div>
 <div class="line"><a name="l01019"></a><span class="lineno"> 1019</span>&#160;        {</div>
 <div class="line"><a name="l01020"></a><span class="lineno"> 1020</span>&#160;            <span class="keywordflow">if</span>(!layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(inputSlotIndex).<a class="code" href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>())</div>
 <div class="line"><a name="l01021"></a><span class="lineno"> 1021</span>&#160;            {</div>
 <div class="line"><a name="l01022"></a><span class="lineno"> 1022</span>&#160;                <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l01023"></a><span class="lineno"> 1023</span>&#160;            }</div>
 <div class="line"><a name="l01024"></a><span class="lineno"> 1024</span>&#160;        }</div>
 <div class="line"><a name="l01025"></a><span class="lineno"> 1025</span>&#160;        <span class="comment">// IsTensorInfoSet will infer the dynamic output shape</span></div>
 <div class="line"><a name="l01026"></a><span class="lineno"> 1026</span>&#160;        outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#ab4e57caf059794897b17266090ebcb39">IsTensorInfoSet</a>();</div>
 <div class="line"><a name="l01027"></a><span class="lineno"> 1027</span>&#160;        <span class="comment">// Once the shape is inferred we can validate it</span></div>
 <div class="line"><a name="l01028"></a><span class="lineno"> 1028</span>&#160;        validateFunc(outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>(), isSupported);</div>
 <div class="line"><a name="l01029"></a><span class="lineno"> 1029</span>&#160; </div>
 <div class="line"><a name="l01030"></a><span class="lineno"> 1030</span>&#160;        <span class="keywordflow">if</span>(!isSupported)</div>
 <div class="line"><a name="l01031"></a><span class="lineno"> 1031</span>&#160;        {</div>
 <div class="line"><a name="l01032"></a><span class="lineno"> 1032</span>&#160;            <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> inputSlotIndex = 0; inputSlotIndex &lt; layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">GetNumInputSlots</a>(); ++inputSlotIndex)</div>
 <div class="line"><a name="l01033"></a><span class="lineno"> 1033</span>&#160;            {</div>
 <div class="line"><a name="l01034"></a><span class="lineno"> 1034</span>&#160;                layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(inputSlotIndex).<a class="code" href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">GetConnection</a>()-&gt;<a class="code" href="classarmnn_1_1_i_output_slot.html#ae16a4d0c56ca96e5d61785bd3e3e7992">Disconnect</a>(layer.<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">GetInputSlot</a>(inputSlotIndex));</div>
 <div class="line"><a name="l01035"></a><span class="lineno"> 1035</span>&#160;            }</div>
 <div class="line"><a name="l01036"></a><span class="lineno"> 1036</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div>
 <div class="line"><a name="l01037"></a><span class="lineno"> 1037</span>&#160;        }</div>
 <div class="line"><a name="l01038"></a><span class="lineno"> 1038</span>&#160;    }</div>
 <div class="line"><a name="l01039"></a><span class="lineno"> 1039</span>&#160; </div>
 <div class="line"><a name="l01040"></a><span class="lineno"> 1040</span>&#160;    <span class="keyword">const</span> uint32_t operandIndex = operation.outputs[operationOutputIndex];</div>
 <div class="line"><a name="l01041"></a><span class="lineno"> 1041</span>&#160; </div>
 <div class="line"><a name="l01042"></a><span class="lineno"> 1042</span>&#160;    <span class="keywordflow">if</span> (activationFunction != ActivationFn::kActivationNone)</div>
 <div class="line"><a name="l01043"></a><span class="lineno"> 1043</span>&#160;    {</div>
 <div class="line"><a name="l01044"></a><span class="lineno"> 1044</span>&#160;        <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&amp; activationOutputInfo = outputSlot.<a class="code" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">GetTensorInfo</a>();</div>
 <div class="line"><a name="l01045"></a><span class="lineno"> 1045</span>&#160;        <a class="code" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a>* <span class="keyword">const</span> endLayer = <a class="code" href="namespacearmnn__driver.html#aac972ee73e8bd2374bc40ab844a7d894">ProcessActivation</a>(activationOutputInfo, activationFunction,</div>
 <div class="line"><a name="l01046"></a><span class="lineno"> 1046</span>&#160;                                                                     &amp;layer, data);</div>
 <div class="line"><a name="l01047"></a><span class="lineno"> 1047</span>&#160; </div>
 <div class="line"><a name="l01048"></a><span class="lineno"> 1048</span>&#160;        <span class="keywordflow">if</span> (!endLayer)</div>
 <div class="line"><a name="l01049"></a><span class="lineno"> 1049</span>&#160;        {</div>
 <div class="line"><a name="l01050"></a><span class="lineno"> 1050</span>&#160;            <span class="keywordflow">return</span> Fail(<span class="stringliteral">&quot;%s: ProcessActivation failed&quot;</span>, __func__);</div>
 <div class="line"><a name="l01051"></a><span class="lineno"> 1051</span>&#160;        }</div>
 <div class="line"><a name="l01052"></a><span class="lineno"> 1052</span>&#160; </div>
 <div class="line"><a name="l01053"></a><span class="lineno"> 1053</span>&#160;        <a class="code" href="classarmnn_1_1_i_output_slot.html">armnn::IOutputSlot</a>&amp; activationOutputSlot = endLayer-&gt;<a class="code" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">GetOutputSlot</a>(layerOutputIndex);</div>
 <div class="line"><a name="l01054"></a><span class="lineno"> 1054</span>&#160;        data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex] = &amp;activationOutputSlot;</div>
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 <div class="line"><a name="l01056"></a><span class="lineno"> 1056</span>&#160;    <span class="keywordflow">else</span></div>
 <div class="line"><a name="l01057"></a><span class="lineno"> 1057</span>&#160;    {</div>
 <div class="line"><a name="l01058"></a><span class="lineno"> 1058</span>&#160;        data.<a class="code" href="structarmnn__driver_1_1_conversion_data.html#a4df0c61eb897ecc9271a4a85604066ea">m_OutputSlotForOperand</a>[operandIndex] = &amp;outputSlot;</div>
 <div class="line"><a name="l01059"></a><span class="lineno"> 1059</span>&#160;    }</div>
 <div class="line"><a name="l01060"></a><span class="lineno"> 1060</span>&#160; </div>
 <div class="line"><a name="l01061"></a><span class="lineno"> 1061</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div>
 <div class="line"><a name="l01062"></a><span class="lineno"> 1062</span>&#160;}</div>
 </div><!-- fragment -->
 <p class="reference">References <a class="el" href="classarmnn_1_1_i_output_slot.html#ae16a4d0c56ca96e5d61785bd3e3e7992">IOutputSlot::Disconnect()</a>, <a class="el" href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">IInputSlot::GetConnection()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a6ec9e0eb66d7d6a01240492a0b18104c">IConnectableLayer::GetInputSlot()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a9c2cba04b6d7ace4fc2a2436b82a5a63">IConnectableLayer::GetNumInputSlots()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#ac2dac3b61c94de52093616be4ab17f8d">IConnectableLayer::GetNumOutputSlots()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00688">GetOutputOperand()</a>, <a class="el" href="classarmnn_1_1_i_connectable_layer.html#a80ac4eda2e7f2757ec9dd96fc96dbd16">IConnectableLayer::GetOutputSlot()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">IOutputSlot::GetTensorInfo()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00097">GetTensorInfoForOperand()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00491">IsDynamicTensor()</a>, <a class="el" href="classarmnn_1_1_i_output_slot.html#ab4e57caf059794897b17266090ebcb39">IOutputSlot::IsTensorInfoSet()</a>, <a class="el" href="_conversion_utils_8hpp_source.html#l00063">ConversionData::m_OutputSlotForOperand</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00906">ProcessActivation()</a>, and <a class="el" href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">IOutputSlot::SetTensorInfo()</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00392">ConvertPooling2d()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00520">ConvertReduce()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00604">ConvertToActivation()</a>, and <a class="el" href="_conversion_utils_8hpp_source.html#l00992">SetupAndTrackLayerOutputSlot()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#ad8f11d121a42a43f14c18bdb10f14b9e">&#9670;&nbsp;</a></span>SetupAndTrackLayerOutputSlot() <span class="overload">[2/2]</span></h2>

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           <td class="memname">bool armnn_driver::SetupAndTrackLayerOutputSlot </td>
           <td>(</td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#ad3a9c1424b37970a54624f514196b985">Operation</a> &amp;&#160;</td>
           <td class="paramname"><em>operation</em>, </td>
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           <td class="paramtype">uint32_t&#160;</td>
           <td class="paramname"><em>outputIndex</em>, </td>
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           <td></td>
           <td class="paramtype"><a class="el" href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a> &amp;&#160;</td>
           <td class="paramname"><em>layer</em>, </td>
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           <td class="paramkey"></td>
           <td></td>
           <td class="paramtype">const <a class="el" href="namespacearmnn__driver.html#a923b39ec5f83672f50289cbaf5de6798">Model</a> &amp;&#160;</td>
           <td class="paramname"><em>model</em>, </td>
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           <td class="paramtype"><a class="el" href="structarmnn__driver_1_1_conversion_data.html">ConversionData</a> &amp;&#160;</td>
           <td class="paramname"><em>data</em>, </td>
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           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> *&#160;</td>
           <td class="paramname"><em>overrideOutputInfo</em> = <code>nullptr</code>, </td>
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           <td class="paramkey"></td>
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           <td class="paramtype">const std::function&lt; void(const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;, bool &amp;)&gt; &amp;&#160;</td>
           <td class="paramname"><em>validateFunc</em> = <code>nullptr</code>, </td>
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           <td class="paramtype">const ActivationFn &amp;&#160;</td>
           <td class="paramname"><em>activationFunction</em> = <code>ActivationFn::kActivationNone</code>&#160;</td>
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 <p class="definition">Definition at line <a class="el" href="_conversion_utils_8hpp_source.html#l00992">992</a> of file <a class="el" href="_conversion_utils_8hpp_source.html">ConversionUtils.hpp</a>.</p>
 <div class="fragment"><div class="line"><a name="l01001"></a><span class="lineno"> 1001</span>&#160;{</div>
 <div class="line"><a name="l01002"></a><span class="lineno"> 1002</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearmnn__driver.html#ad8f11d121a42a43f14c18bdb10f14b9e">SetupAndTrackLayerOutputSlot</a>(operation,</div>
 <div class="line"><a name="l01003"></a><span class="lineno"> 1003</span>&#160;                                        outputIndex,</div>
 <div class="line"><a name="l01004"></a><span class="lineno"> 1004</span>&#160;                                        layer,</div>
 <div class="line"><a name="l01005"></a><span class="lineno"> 1005</span>&#160;                                        outputIndex,</div>
 <div class="line"><a name="l01006"></a><span class="lineno"> 1006</span>&#160;                                        model,</div>
 <div class="line"><a name="l01007"></a><span class="lineno"> 1007</span>&#160;                                        data,</div>
 <div class="line"><a name="l01008"></a><span class="lineno"> 1008</span>&#160;                                        overrideOutputInfo,</div>
 <div class="line"><a name="l01009"></a><span class="lineno"> 1009</span>&#160;                                        validateFunc,</div>
 <div class="line"><a name="l01010"></a><span class="lineno"> 1010</span>&#160;                                        activationFunction);</div>
 <div class="line"><a name="l01011"></a><span class="lineno"> 1011</span>&#160;}</div>
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 <p class="reference">References <a class="el" href="_conversion_utils_8cpp_source.html#l00987">SetupAndTrackLayerOutputSlot()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#a5665b88a0b22c6341dd8075048981689">&#9670;&nbsp;</a></span>SwizzleAndroidNn4dTensorToArmNn()</h2>

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           <td class="memname">void SwizzleAndroidNn4dTensorToArmNn </td>
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           <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
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           <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;&#160;</td>
           <td class="paramname"><em>mappings</em>&#160;</td>
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 <p>Swizzles tensor data in <em>input</em> according to the dimension mappings. </p>

 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00040">40</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>
 <div class="fragment"><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;    assert(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == 4U);</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;    <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>();</div>
 <div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <span class="keywordflow">switch</span> (dataType)</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div>
 <div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div>
 <div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div>
 <div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a>:</div>
 <div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div>
 <div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;        <span class="comment">// First swizzle tensor info</span></div>
 <div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;        tensorInfo = <a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a>(tensorInfo, mappings);</div>
 <div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;        <span class="comment">// Then swizzle tensor data</span></div>
 <div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;        <a class="code" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings, input, output, <a class="code" href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a>(dataType));</div>
 <div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        <span class="keywordflow">break</span>;</div>
 <div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keywordflow">default</span>:</div>
 <div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        VLOG(DRIVER) &lt;&lt; <span class="stringliteral">&quot;Unknown armnn::DataType for swizzling&quot;</span>;</div>
 <div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;        assert(0);</div>
 <div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    }</div>
 <div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;}</div>
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 <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>, <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00182">armnn::GetDataTypeSize()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_permute_8cpp_source.html#l00164">armnnUtils::Permute()</a>, <a class="el" href="_permute_8cpp_source.html#l00125">armnnUtils::Permuted()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00086">ConstTensorPin::ConstTensorPin()</a>.</p>

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 <h2 class="memtitle"><span class="permalink"><a href="#ae059aea66ee0867a204aa2f2d9abb42c">&#9670;&nbsp;</a></span>g_DontPermute</h2>

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           <td class="memname">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> g_DontPermute {}</td>
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 <p class="definition">Definition at line <a class="el" href="_canonical_utils_8cpp_source.html#l00038">38</a> of file <a class="el" href="_canonical_utils_8cpp_source.html">CanonicalUtils.cpp</a>.</p>

 <p class="reference">Referenced by <a class="el" href="_conversion_utils_8cpp_source.html#l00752">DequantizeAndMakeConstTensorPin()</a>.</p>

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 <div class="ttc" id="anamespacearmnn__driver_html_aac972ee73e8bd2374bc40ab844a7d894"><div class="ttname"><a href="namespacearmnn__driver.html#aac972ee73e8bd2374bc40ab844a7d894">armnn_driver::ProcessActivation</a></div><div class="ttdeci">armnn::IConnectableLayer * ProcessActivation(const armnn::TensorInfo &amp;tensorInfo, ActivationFn activation, armnn::IConnectableLayer *prevLayer, ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00906">ConversionUtils.cpp:906</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a99cc75f524d831824c5f3730a88e9ca3"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#a99cc75f524d831824c5f3730a88e9ca3">armnn::IConnectableLayer::SetBackendId</a></div><div class="ttdeci">virtual void SetBackendId(const BackendId &amp;id)=0</div><div class="ttdoc">Set the backend of the IConnectableLayer.</div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div>
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 <div class="ttc" id="anamespacearmnn__driver_html_a8932639a884a3dc698f29d4e8395ba49"><div class="ttname"><a href="namespacearmnn__driver.html#a8932639a884a3dc698f29d4e8395ba49">armnn_driver::DequantizeResult</a></div><div class="ttdeci">std::tuple&lt; std::unique_ptr&lt; float[]&gt;, size_t, armnn::TensorInfo, DequantizeStatus &gt; DequantizeResult</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l01047">ConversionUtils.hpp:1047</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html">armnn::ActivationDescriptor</a></div><div class="ttdoc">An ActivationDescriptor for the ActivationLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00036">Descriptors.hpp:36</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_ac8643aaee3eafc54336c5462b51bd53f"><div class="ttname"><a href="namespacearmnn__driver.html#ac8643aaee3eafc54336c5462b51bd53f">armnn_driver::GetTensorInt32Values</a></div><div class="ttdeci">bool GetTensorInt32Values(const Operand &amp;operand, std::vector&lt; int32_t &gt; &amp;outValues, const Model &amp;model, const ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00843">ConversionUtils.cpp:843</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a9c2cba04b6d7ace4fc2a2436b82a5a63"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#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>
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 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a5699e8606c37d18c03910b242cd1b010"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#a5699e8606c37d18c03910b242cd1b010">armnn::Pooling2dDescriptor::m_PoolHeight</a></div><div class="ttdeci">uint32_t m_PoolHeight</div><div class="ttdoc">Pooling height value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00417">Descriptors.hpp:417</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::DataLayout::NHWC</a></div><div class="ttdeci">@ NHWC</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_aa9b4bc8d4cfb04be14771dbb1bc1a1ac"><div class="ttname"><a href="namespacearmnn__driver.html#aa9b4bc8d4cfb04be14771dbb1bc1a1ac">armnn_driver::Operand</a></div><div class="ttdeci">::android::nn::Operand Operand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00046">ConversionUtils.hpp:46</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a208149d5c08f84debf8b265bb508fe02"><div class="ttname"><a href="namespacearmnn__driver.html#a208149d5c08f84debf8b265bb508fe02">armnn_driver::IsDynamicTensor</a></div><div class="ttdeci">bool IsDynamicTensor(const armnn::TensorInfo &amp;tensorInfo)</div><div class="ttdoc">Checks if a tensor info represents a dynamic tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00491">CanonicalUtils.cpp:491</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html_a017b2990003a014234f13e999dc7c689"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#a017b2990003a014234f13e999dc7c689">armnn::ActivationDescriptor::m_A</a></div><div class="ttdeci">float m_A</div><div class="ttdoc">Alpha upper bound value used by the activation functions. (BoundedReLu, Linear, TanH,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00061">Descriptors.hpp:61</a></div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_html_a9b63bdf08709bc5302b3c1a9198d06a3"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.html#a9b63bdf08709bc5302b3c1a9198d06a3">armnn_driver::LayerInputHandle::Connect</a></div><div class="ttdeci">void Connect(armnn::IInputSlot &amp;inputSlot)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00033">ConversionUtils.cpp:33</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a8c749c18e62c59a5c1254aac342c995a"><div class="ttname"><a href="namespacearmnn__driver.html#a8c749c18e62c59a5c1254aac342c995a">armnn_driver::ConvertOperationInputToConstTensorPin</a></div><div class="ttdeci">ConstTensorPin ConvertOperationInputToConstTensorPin(const Operation &amp;operation, uint32_t inputIndex, const Model &amp;model, const ConversionData &amp;data, const armnn::PermutationVector &amp;dimensionMappings=g_DontPermute, const armnn::TensorShape *overrideTensorShape=nullptr, bool optional=false)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00751">ConversionUtils.hpp:751</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a82e85436d5f7cbfa90e8ab521bddae31"><div class="ttname"><a href="namespacearmnn__driver.html#a82e85436d5f7cbfa90e8ab521bddae31">armnn_driver::ConvertOperandToConstTensorPin</a></div><div class="ttdeci">ConstTensorPin ConvertOperandToConstTensorPin(const Operand &amp;operand, const Model &amp;model, const ConversionData &amp;data, const armnn::PermutationVector &amp;dimensionMappings, const armnn::TensorShape *overrideTensorShape, bool optional, const armnn::DataType *overrideDataType)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00166">ConversionUtils.cpp:166</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a1f6b85ab26d684241babcde2d659116b"><div class="ttname"><a href="namespacearmnn__driver.html#a1f6b85ab26d684241babcde2d659116b">armnn_driver::ConvertToLayerInputHandle</a></div><div class="ttdeci">LayerInputHandle ConvertToLayerInputHandle(const Operation &amp;operation, uint32_t inputIndex, const Model &amp;model, ConversionData &amp;data, const armnn::PermutationVector &amp;dimensionMappings, const LayerInputHandle *inputHandle)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00216">ConversionUtils.cpp:216</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a71975fcec1464d639f1a78f73164d1bd"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a71975fcec1464d639f1a78f73164d1bd">armnn::TensorInfo::SetDataType</a></div><div class="ttdeci">void SetDataType(DataType type)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00201">Tensor.hpp:201</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_ae16a4d0c56ca96e5d61785bd3e3e7992"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ae16a4d0c56ca96e5d61785bd3e3e7992">armnn::IOutputSlot::Disconnect</a></div><div class="ttdeci">virtual void Disconnect(IInputSlot &amp;slot)=0</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a275cd95635b854a80bb33f171d861ddc"><div class="ttname"><a href="namespacearmnn__driver.html#a275cd95635b854a80bb33f171d861ddc">armnn_driver::OperandLifeTime</a></div><div class="ttdeci">::android::nn::Operand::LifeTime OperandLifeTime</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00047">ConversionUtils.hpp:47</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_optimized_network_html_a26794f014974a6f963a8925de07bffeb"><div class="ttname"><a href="classarmnn_1_1_i_optimized_network.html#a26794f014974a6f963a8925de07bffeb">armnn::IOptimizedNetwork::SerializeToDot</a></div><div class="ttdeci">Status SerializeToDot(std::ostream &amp;stream) const</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00710">Network.cpp:710</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3"><div class="ttname"><a href="namespacearmnn.html#adf2e5515c4c36a3e7e46bb8b83c6754eaf3f6d0343d56ce88ce7958170ed05cb3">armnn::OutputShapeRounding::Floor</a></div><div class="ttdeci">@ Floor</div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_ac1fe174bbadfb39a2b636940c2e647c8"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#ac1fe174bbadfb39a2b636940c2e647c8">armnn::Pooling2dDescriptor::m_StrideY</a></div><div class="ttdeci">uint32_t m_StrideY</div><div class="ttdoc">Stride value when proceeding through input for the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00421">Descriptors.hpp:421</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div>
 <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html">armnnUtils::DataLayoutIndexed</a></div><div class="ttdoc">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout.</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00017">DataLayoutIndexed.hpp:17</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_ad8f11d121a42a43f14c18bdb10f14b9e"><div class="ttname"><a href="namespacearmnn__driver.html#ad8f11d121a42a43f14c18bdb10f14b9e">armnn_driver::SetupAndTrackLayerOutputSlot</a></div><div class="ttdeci">bool SetupAndTrackLayerOutputSlot(const Operation &amp;operation, uint32_t outputIndex, armnn::IConnectableLayer &amp;layer, const Model &amp;model, ConversionData &amp;data, const armnn::TensorInfo *overrideOutputInfo=nullptr, const std::function&lt; void(const armnn::TensorInfo &amp;, bool &amp;)&gt; &amp;validateFunc=nullptr, const ActivationFn &amp;activationFunction=ActivationFn::kActivationNone)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00992">ConversionUtils.hpp:992</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa23b68da1de2b77d74da9da2635722a3e">armnn::ActivationFunction::TanH</a></div><div class="ttdeci">@ TanH</div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_acccb75bd1d68a81f6ddd61687f51c5a1"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#acccb75bd1d68a81f6ddd61687f51c5a1">armnn::TensorShape::AreAllDimensionsSpecified</a></div><div class="ttdeci">bool AreAllDimensionsSpecified() const</div><div class="ttdoc">Checks if there is at least one dimension not specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00241">Tensor.cpp:241</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a56b51f56cef50cdfa554258eecdab046"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#a56b51f56cef50cdfa554258eecdab046">armnn::Pooling2dDescriptor::m_PadTop</a></div><div class="ttdeci">uint32_t m_PadTop</div><div class="ttdoc">Padding top value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00411">Descriptors.hpp:411</a></div></div>
 <div class="ttc" id="a_conversion_utils_8hpp_html_a00e2c074a81ec0d41495ed9287dcc542"><div class="ttname"><a href="_conversion_utils_8hpp.html#a00e2c074a81ec0d41495ed9287dcc542">FORWARD_LAYER_SUPPORT_FUNC</a></div><div class="ttdeci">#define FORWARD_LAYER_SUPPORT_FUNC(funcName, func, backends, supported, setBackend,...)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00155">ConversionUtils.hpp:155</a></div></div>
 <div class="ttc" id="anamespacearmnn_serializer_html"><div class="ttname"><a href="namespacearmnn_serializer.html">armnnSerializer</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_serializer_8hpp_source.html#l00011">ISerializer.hpp:11</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a5890dee5ebd8c09d4b3787136d8170d8"><div class="ttname"><a href="namespacearmnn__driver.html#a5890dee5ebd8c09d4b3787136d8170d8">armnn_driver::GetOutputOperand</a></div><div class="ttdeci">const Operand * GetOutputOperand(const Operation &amp;operation, uint32_t outputIndex, const Model &amp;model)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00688">ConversionUtils.hpp:688</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div>
 <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaabc5a0f0d6e7cf7fca73299dcd46c0f0d">armnn::ActivationFunction::BoundedReLu</a></div><div class="ttdeci">@ BoundedReLu</div><div class="ttdoc">min(a, max(b, input)) ReLu1 &amp; ReLu6.</div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div>
 <div class="ttc" id="astructarmnn__driver_1_1_conversion_data_html_a094e06eb84b3b80533c0f961f0f472de"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.html#a094e06eb84b3b80533c0f961f0f472de">armnn_driver::ConversionData::m_DynamicInputsEncountered</a></div><div class="ttdeci">bool m_DynamicInputsEncountered</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00065">ConversionUtils.hpp:65</a></div></div>
 <div class="ttc" id="anamespacearmnn_utils_html_af3c74017185773dd61d8ca6662d65d43"><div class="ttname"><a href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">armnnUtils::Permute</a></div><div class="ttdeci">void Permute(const armnn::TensorShape &amp;dstShape, const armnn::PermutationVector &amp;mappings, const void *src, void *dst, size_t dataTypeSize)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00164">Permute.cpp:164</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_a9943775a364fc4ab53b85ac88f311886"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a9943775a364fc4ab53b85ac88f311886">armnn::IOutputSlot::GetTensorInfo</a></div><div class="ttdeci">virtual const TensorInfo &amp; GetTensorInfo() const =0</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a3f3a756df9dee4b33566cddd786b83c9"><div class="ttname"><a href="namespacearmnn__driver.html#a3f3a756df9dee4b33566cddd786b83c9">armnn_driver::OptionalDataLayout</a></div><div class="ttdeci">armnn::DataLayout OptionalDataLayout(const Operation &amp;operation, uint32_t inputIndex, const Model &amp;model, ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00874">ConversionUtils.cpp:874</a></div></div>
 <div class="ttc" id="anamespacearmnn_utils_html_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &amp;srcShape, const armnn::PermutationVector &amp;mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00125">Permute.cpp:125</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c"><div class="ttname"><a href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5cad0749aaba8b833466dfcbb0428e4f89c">armnn_driver::DequantizeStatus::SUCCESS</a></div><div class="ttdeci">@ SUCCESS</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_ae059aea66ee0867a204aa2f2d9abb42c"><div class="ttname"><a href="namespacearmnn__driver.html#ae059aea66ee0867a204aa2f2d9abb42c">armnn_driver::g_DontPermute</a></div><div class="ttdeci">const armnn::PermutationVector g_DontPermute</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00038">CanonicalUtils.cpp:38</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a6d8fb685cc1ff224f25aa127fcf62c86"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#a6d8fb685cc1ff224f25aa127fcf62c86">armnn::Pooling2dDescriptor::m_PoolWidth</a></div><div class="ttdeci">uint32_t m_PoolWidth</div><div class="ttdoc">Pooling width value.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00415">Descriptors.hpp:415</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_ac2dac3b61c94de52093616be4ab17f8d"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#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="anamespacearmnn__driver_html_afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527"><div class="ttname"><a href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9a6dcca67f0df2a0038edf5a82b1399527">armnn_driver::ConversionResult::UnsupportedFeature</a></div><div class="ttdeci">@ UnsupportedFeature</div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div>
 <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_aa57c67b1da0011b1abb30170146e870f"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#aa57c67b1da0011b1abb30170146e870f">armnn::ReduceDescriptor::m_ReduceOperation</a></div><div class="ttdeci">ReduceOperation m_ReduceOperation</div><div class="ttdoc">Specifies the reduction operation to execute.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01558">Descriptors.hpp:1558</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_aa9ef723ace8562b9636e8387a120fbde"><div class="ttname"><a href="namespacearmnn__driver.html#aa9ef723ace8562b9636e8387a120fbde">armnn_driver::GetInputPaddingScheme</a></div><div class="ttdeci">bool GetInputPaddingScheme(const Operation &amp;operation, uint32_t inputIndex, PaddingScheme &amp;outPaddingScheme, const Model &amp;model, const ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00782">ConversionUtils.cpp:782</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a685739c4eb65a580e075282cfe6787d6"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a685739c4eb65a580e075282cfe6787d6">armnn::TensorInfo::SetQuantizationScale</a></div><div class="ttdeci">void SetQuantizationScale(float scale)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00473">Tensor.cpp:473</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a1a8675f9d64c3fb59e6af15362bb6332"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a1a8675f9d64c3fb59e6af15362bb6332">armnn::TensorInfo::SetQuantizationScales</a></div><div class="ttdeci">void SetQuantizationScales(const std::vector&lt; float &gt; &amp;scales)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00456">Tensor.cpp:456</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html">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.html#l00053">INetwork.hpp:53</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a6089e1ca91914015777ea780a513131a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#a6089e1ca91914015777ea780a513131a">armnn::Pooling2dDescriptor::m_DataLayout</a></div><div class="ttdeci">DataLayout m_DataLayout</div><div class="ttdoc">The data layout to be used (NCHW, NHWC).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00427">Descriptors.hpp:427</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a419cd7b9bad83f31f6db8ba9a3b9517a"><div class="ttname"><a href="namespacearmnn__driver.html#a419cd7b9bad83f31f6db8ba9a3b9517a">armnn_driver::GetFileTimestamp</a></div><div class="ttdeci">std::string GetFileTimestamp()</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00560">CanonicalUtils.cpp:560</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_aa9e49717ebdb741e8c767741647fc618"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#aa9e49717ebdb741e8c767741647fc618">armnn::Pooling2dDescriptor::m_PadBottom</a></div><div class="ttdeci">uint32_t m_PadBottom</div><div class="ttdoc">Padding bottom value in the height dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00413">Descriptors.hpp:413</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043"><div class="ttname"><a href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5ca6bf179afa8f7fba18cf39bc0ca6fe043">armnn_driver::DequantizeStatus::INVALID_OPERAND</a></div><div class="ttdeci">@ INVALID_OPERAND</div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a002bc30e590d78cbb4f4d12171055ca7"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#a002bc30e590d78cbb4f4d12171055ca7">armnn::Pooling2dDescriptor::m_PadRight</a></div><div class="ttdeci">uint32_t m_PadRight</div><div class="ttdoc">Padding right value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00409">Descriptors.hpp:409</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_a5ee4a6c9a2481245487b1b1a70d20fd0"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a5ee4a6c9a2481245487b1b1a70d20fd0">armnn::IOutputSlot::SetTensorInfo</a></div><div class="ttdeci">virtual void SetTensorInfo(const TensorInfo &amp;tensorInfo)=0</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a96666c2945d7fe8c34aee30a449287d5"><div class="ttname"><a href="namespacearmnn__driver.html#a96666c2945d7fe8c34aee30a449287d5">armnn_driver::GetMemoryFromPool</a></div><div class="ttdeci">void * GetMemoryFromPool(DataLocation location, const std::vector&lt; android::nn::RunTimePoolInfo &gt; &amp;memPools)</div><div class="ttdoc">Returns a pointer to a specific location in a pool`.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00066">CanonicalUtils.cpp:66</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00048">Types.hpp:48</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681af60357a8d17e45793298323f1b372a74">armnn::Dimensionality::Scalar</a></div><div class="ttdeci">@ Scalar</div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_unsupported_operand_html"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.html">armnn_driver::UnsupportedOperand</a></div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.html#l00027">CanonicalUtils.hpp:27</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_aa43f9c81f830559c15e5af86f8e11482"><div class="ttname"><a href="namespacearmnn__driver.html#aa43f9c81f830559c15e5af86f8e11482">armnn_driver::GetInputInt32</a></div><div class="ttdeci">bool GetInputInt32(const Operation &amp;operation, uint32_t inputIndex, int32_t &amp;outValue, const Model &amp;model, const ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00815">ConversionUtils.hpp:815</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_abf92490dc588f48af86fc12184841fd5"><div class="ttname"><a href="namespacearmnn__driver.html#abf92490dc588f48af86fc12184841fd5">armnn_driver::GetInputScalar</a></div><div class="ttdeci">bool GetInputScalar(const Operation &amp;operation, uint32_t inputIndex, OperandType type, OutputType &amp;outValue, const Model &amp;model, const ConversionData &amp;data, bool optional=false)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00775">ConversionUtils.hpp:775</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_activation_descriptor_html_af10fa7883e3579950f477bee92a64844"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#af10fa7883e3579950f477bee92a64844">armnn::ActivationDescriptor::m_Function</a></div><div class="ttdeci">ActivationFunction m_Function</div><div class="ttdoc">The activation function to use (Sigmoid, TanH, Linear, ReLu, BoundedReLu, SoftReLu,...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00059">Descriptors.hpp:59</a></div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_html"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.html">armnn_driver::LayerInputHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00068">ConversionUtils.hpp:68</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a10c64daf22426af432d0a9ada03eee5c"><div class="ttname"><a href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5c">armnn_driver::DequantizeStatus</a></div><div class="ttdeci">DequantizeStatus</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l01040">ConversionUtils.hpp:1040</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a5378da53b59c1c826e6320383ca0257e"><div class="ttname"><a href="namespacearmnn__driver.html#a5378da53b59c1c826e6320383ca0257e">armnn_driver::SetupAndTrackLayerOutputSlot</a></div><div class="ttdeci">bool SetupAndTrackLayerOutputSlot(const Operation &amp;operation, uint32_t operationOutputIndex, armnn::IConnectableLayer &amp;layer, uint32_t layerOutputIndex, const Model &amp;model, ConversionData &amp;data, const armnn::TensorInfo *overrideOutputInfo, const std::function&lt; void(const armnn::TensorInfo &amp;, bool &amp;)&gt; &amp;validateFunc, const ActivationFn &amp;activationFunction, bool inferOutputShapes)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00987">ConversionUtils.cpp:987</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_adceb04ae84c524e4d01881e3754a4d59"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#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="anamespacearmnn_html_aa02b9e06fb20fa3c13da0427e6ee5ab2"><div class="ttname"><a href="namespacearmnn.html#aa02b9e06fb20fa3c13da0427e6ee5ab2">armnn::GetDataTypeSize</a></div><div class="ttdeci">constexpr unsigned int GetDataTypeSize(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00182">TypesUtils.hpp:182</a></div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_const_tensor_pin_html_a971023b9874b0d773e8aa4c6d6744a2b"><div class="ttname"><a href="classarmnn__driver_1_1_const_tensor_pin.html#a971023b9874b0d773e8aa4c6d6744a2b">armnn_driver::ConstTensorPin::GetConstTensor</a></div><div class="ttdeci">const armnn::ConstTensor &amp; GetConstTensor() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00122">ConversionUtils.cpp:122</a></div></div>
 <div class="ttc" id="aclassarmnn_serializer_1_1_i_serializer_html_a3c51b5b078572dee02528bfae7202524"><div class="ttname"><a href="classarmnn_serializer_1_1_i_serializer.html#a3c51b5b078572dee02528bfae7202524">armnnSerializer::ISerializer::Create</a></div><div class="ttdeci">static ISerializerPtr Create()</div><div class="ttdef"><b>Definition:</b> <a href="_serializer_8cpp_source.html#l00035">Serializer.cpp:35</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b"><div class="ttname"><a href="namespacearmnn__driver.html#afa2a6d5a1431289c92cea9cceeb174c9ab7d6155514def6898ba4432a82efd28b">armnn_driver::ConversionResult::ErrorMappingPools</a></div><div class="ttdeci">@ ErrorMappingPools</div></div>
 <div class="ttc" id="anamespacearmnn_html_a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38"><div class="ttname"><a href="namespacearmnn.html#a67a0db04d321a74b7e7fcfd3f1a3f70ba505a83f220c02df2f85c3810cd9ceb38">armnn::Status::Success</a></div><div class="ttdeci">@ Success</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a3ac499dc54900adc7f2613944b583e10"><div class="ttname"><a href="namespacearmnn__driver.html#a3ac499dc54900adc7f2613944b583e10">armnn_driver::GetInputActivationFunctionImpl</a></div><div class="ttdeci">bool GetInputActivationFunctionImpl(const Operation &amp;operation, uint32_t inputIndex, OperandType type, ActivationFn &amp;outActivationFunction, const Model &amp;model, const ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00833">ConversionUtils.hpp:833</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc"><div class="ttname"><a href="namespacearmnn.html#a8e1f31031ad31cd8cc22d7c9daa32681a4b7d504abac49ba24b4df86c129d3cbc">armnn::Dimensionality::NotSpecified</a></div><div class="ttdeci">@ NotSpecified</div></div>
 <div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
 <div class="ttc" id="astructarmnn__driver_1_1_conversion_data_html_a4df0c61eb897ecc9271a4a85604066ea"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.html#a4df0c61eb897ecc9271a4a85604066ea">armnn_driver::ConversionData::m_OutputSlotForOperand</a></div><div class="ttdeci">std::vector&lt; armnn::IOutputSlot * &gt; m_OutputSlotForOperand</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00063">ConversionUtils.hpp:63</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a00b317cd97319ac7b6a248a768ceb201"><div class="ttname"><a href="namespacearmnn__driver.html#a00b317cd97319ac7b6a248a768ceb201">armnn_driver::RenameFile</a></div><div class="ttdeci">void RenameFile(const std::string &amp;existingName, const std::string &amp;extension, const std::string &amp;dumpDir, const armnn::NetworkId networkId)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00593">CanonicalUtils.cpp:593</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_base_tensor_html_a8aeddebdcf02e1832b22203c08a6b678"><div class="ttname"><a href="classarmnn_1_1_base_tensor.html#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.html#l00297">Tensor.hpp:297</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_ac18546ebbebbb32fe0a03baa9bf2c600"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#ac18546ebbebbb32fe0a03baa9bf2c600">armnn::Pooling2dDescriptor::m_PadLeft</a></div><div class="ttdeci">uint32_t m_PadLeft</div><div class="ttdoc">Padding left value in the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00407">Descriptors.hpp:407</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7"><div class="ttname"><a href="namespacearmnn__driver.html#a10c64daf22426af432d0a9ada03eee5caaf655f85da1fc9b6a348b9893ee6aef7">armnn_driver::DequantizeStatus::NOT_REQUIRED</a></div><div class="ttdeci">@ NOT_REQUIRED</div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00200">Tensor.hpp:200</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a14977f94479f2f7e13bdf915ac8ce8d0"><div class="ttname"><a href="namespacearmnn__driver.html#a14977f94479f2f7e13bdf915ac8ce8d0">armnn_driver::GetInputOperand</a></div><div class="ttdeci">const Operand * GetInputOperand(const Operation &amp;operation, uint32_t inputIndex, const Model &amp;model, bool failOnIndexOutOfBounds=true)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00662">ConversionUtils.hpp:662</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div>
 <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_a28e0548abfc4e79c48f29a3d11a062e9"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#a28e0548abfc4e79c48f29a3d11a062e9">armnn::ReduceDescriptor::m_KeepDims</a></div><div class="ttdeci">bool m_KeepDims</div><div class="ttdoc">if true then output shape has no change.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01554">Descriptors.hpp:1554</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div>
 <div class="ttc" id="a_utils_8hpp_html_abbf421eb1186af0d505648ed2ea54a00"><div class="ttname"><a href="_utils_8hpp.html#abbf421eb1186af0d505648ed2ea54a00">ARMNN_FALLTHROUGH</a></div><div class="ttdeci">#define ARMNN_FALLTHROUGH</div><div class="ttdef"><b>Definition:</b> <a href="_utils_8hpp_source.html#l00036">Utils.hpp:36</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a78a9a9f196810df6bc4795568f275c75"><div class="ttname"><a href="namespacearmnn__driver.html#a78a9a9f196810df6bc4795568f275c75">armnn_driver::DequantizeIfRequired</a></div><div class="ttdeci">DequantizeResult DequantizeIfRequired(size_t operand_index, const Operation &amp;operation, const Model &amp;model, const ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00663">ConversionUtils.cpp:663</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_afe6a3377c4531315354def9023c8fdda"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#afe6a3377c4531315354def9023c8fdda">armnn::Pooling2dDescriptor::m_StrideX</a></div><div class="ttdeci">uint32_t m_StrideX</div><div class="ttdoc">Stride value when proceeding through input for the width dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00419">Descriptors.hpp:419</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a63cbc581012c957f9d68d224ddc3e43c"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a63cbc581012c957f9d68d224ddc3e43c">armnn::TensorInfo::SetQuantizationOffset</a></div><div class="ttdeci">void SetQuantizationOffset(int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00489">Tensor.cpp:489</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_a22b3f11f56aa924c0c1b6ee4d6cc90e1"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#a22b3f11f56aa924c0c1b6ee4d6cc90e1">armnn::IOutputSlot::GetOwningIConnectableLayer</a></div><div class="ttdeci">virtual const IConnectableLayer &amp; GetOwningIConnectableLayer() const =0</div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a267f6b68937e2126b6ca890a6b11ea9c"><div class="ttname"><a href="namespacearmnn__driver.html#a267f6b68937e2126b6ca890a6b11ea9c">armnn_driver::IsQSymm8</a></div><div class="ttdeci">bool IsQSymm8(const Operand &amp;operand)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l01035">ConversionUtils.hpp:1035</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_ac1835f8756a9f03c02fcf9664e3a0fce"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ac1835f8756a9f03c02fcf9664e3a0fce">armnn::IOutputSlot::Connect</a></div><div class="ttdeci">virtual int Connect(IInputSlot &amp;destination)=0</div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_output_slot_html_ab4e57caf059794897b17266090ebcb39"><div class="ttname"><a href="classarmnn_1_1_i_output_slot.html#ab4e57caf059794897b17266090ebcb39">armnn::IOutputSlot::IsTensorInfoSet</a></div><div class="ttdeci">virtual bool IsTensorInfoSet() const =0</div></div>
 <div class="ttc" id="a_conversion_utils_8hpp_html_abcb5019b10b89cbd2b96118885a026d4"><div class="ttname"><a href="_conversion_utils_8hpp.html#abcb5019b10b89cbd2b96118885a026d4">getMainModel</a></div><div class="ttdeci">const android::nn::Model::Subgraph &amp; getMainModel(const android::nn::Model &amp;model)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00030">ConversionUtils.hpp:30</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#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.html#l00193">Tensor.hpp:193</a></div></div>
 <div class="ttc" id="astructarmnn__driver_1_1_conversion_data_html_a2db3ae8d422f17d455e0ba0cb6291d2a"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.html#a2db3ae8d422f17d455e0ba0cb6291d2a">armnn_driver::ConversionData::m_Network</a></div><div class="ttdeci">armnn::INetworkPtr m_Network</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00062">ConversionUtils.hpp:62</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html_aa1c6fc8c96404252f1072632fc5acb59"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html#aa1c6fc8c96404252f1072632fc5acb59">armnn::ReduceDescriptor::m_vAxis</a></div><div class="ttdeci">std::vector&lt; uint32_t &gt; m_vAxis</div><div class="ttdoc">The indices of the dimensions to reduce.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01556">Descriptors.hpp:1556</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pad_descriptor_html_a85f98c94e11f65a6b73f831735c040f3"><div class="ttname"><a href="structarmnn_1_1_pad_descriptor.html#a85f98c94e11f65a6b73f831735c040f3">armnn::PadDescriptor::m_PadList</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; unsigned int, unsigned int &gt; &gt; m_PadList</div><div class="ttdoc">Specifies the padding for input dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01218">Descriptors.hpp:1218</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a9ddfceb499ef7b3d01053399bc79b852"><div class="ttname"><a href="namespacearmnn__driver.html#a9ddfceb499ef7b3d01053399bc79b852">armnn_driver::IsOperandConstant</a></div><div class="ttdeci">bool IsOperandConstant(const Operand &amp;operand)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00731">ConversionUtils.hpp:731</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a93f4874062e34819806d36b74c73dc61"><div class="ttname"><a href="namespacearmnn__driver.html#a93f4874062e34819806d36b74c73dc61">armnn_driver::GetTensorInfoForOperand</a></div><div class="ttdeci">armnn::TensorInfo GetTensorInfoForOperand(const Operand &amp;operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00097">CanonicalUtils.cpp:97</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_backend_id_html"><div class="ttname"><a href="classarmnn_1_1_backend_id.html">armnn::BackendId</a></div><div class="ttdef"><b>Definition:</b> <a href="_backend_id_8hpp_source.html#l00075">BackendId.hpp:75</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa3d90c0a5ab3fcf8e6f6608cb3d3a1559">armnn::ActivationFunction::ReLu</a></div><div class="ttdeci">@ ReLu</div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a80ac4eda2e7f2757ec9dd96fc96dbd16"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#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 class="ttc" id="aclassarmnn_1_1_tensor_info_html_abe8889e8150beef5fd204b2d87b49298"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#abe8889e8150beef5fd204b2d87b49298">armnn::TensorInfo::SetShape</a></div><div class="ttdeci">void SetShape(const TensorShape &amp;newShape)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00195">Tensor.hpp:195</a></div></div>
 <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html_a6ec9e0eb66d7d6a01240492a0b18104c"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html#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="astructarmnn_1_1_activation_descriptor_html_a28c4c9cb15f6be3499abbc46b356060b"><div class="ttname"><a href="structarmnn_1_1_activation_descriptor.html#a28c4c9cb15f6be3499abbc46b356060b">armnn::ActivationDescriptor::m_B</a></div><div class="ttdeci">float m_B</div><div class="ttdoc">Beta lower bound value used by the activation functions. (BoundedReLu, Linear, TanH).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00063">Descriptors.hpp:63</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_profiler_html_a038bb767bbc6abc0ee0d9b509616b896"><div class="ttname"><a href="classarmnn_1_1_i_profiler.html#a038bb767bbc6abc0ee0d9b509616b896">armnn::IProfiler::Print</a></div><div class="ttdeci">void Print(std::ostream &amp;outStream) const</div><div class="ttdoc">Print stats for events in JSON Format to the given output stream.</div><div class="ttdef"><b>Definition:</b> <a href="_profiling_8cpp_source.html#l00630">Profiling.cpp:630</a></div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_unsupported_operand_html_adbccd9c087443cf759711a3e62da9a84"><div class="ttname"><a href="classarmnn__driver_1_1_unsupported_operand.html#adbccd9c087443cf759711a3e62da9a84">armnn_driver::UnsupportedOperand::m_type</a></div><div class="ttdeci">OperandType m_type</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8hpp_source.html#l00035">CanonicalUtils.hpp:35</a></div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_html_acbafd23115b06f0a82eab45bd1e3cff9"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.html#acbafd23115b06f0a82eab45bd1e3cff9">armnn_driver::LayerInputHandle::GetTensorInfo</a></div><div class="ttdeci">const armnn::TensorInfo &amp; GetTensorInfo() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00057">ConversionUtils.cpp:57</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_connectable_layer_html"><div class="ttname"><a href="classarmnn_1_1_i_connectable_layer.html">armnn::IConnectableLayer</a></div><div class="ttdoc">Interface for a layer that is connectable to other layers via InputSlots and OutputSlots.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00080">INetwork.hpp:80</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_input_slot_html"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html">armnn::IInputSlot</a></div><div class="ttdoc">An input connection slot for a layer.</div><div class="ttdef"><b>Definition:</b> <a href="_i_network_8hpp_source.html#l00025">INetwork.hpp:25</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_affb5b68b3eba3ed45a06c7cde7781962"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#affb5b68b3eba3ed45a06c7cde7781962">armnn::Pooling2dDescriptor::m_OutputShapeRounding</a></div><div class="ttdeci">OutputShapeRounding m_OutputShapeRounding</div><div class="ttdoc">The rounding method for the output shape. (Floor, Ceiling).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00423">Descriptors.hpp:423</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a85d53debffd9611a3b5bc6031afd5073"><div class="ttname"><a href="namespacearmnn__driver.html#a85d53debffd9611a3b5bc6031afd5073">armnn_driver::AreDynamicTensorsSupported</a></div><div class="ttdeci">bool AreDynamicTensorsSupported()</div><div class="ttdoc">Checks for ArmNN support of dynamic tensors.</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00505">CanonicalUtils.cpp:505</a></div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_const_tensor_pin_html"><div class="ttname"><a href="classarmnn__driver_1_1_const_tensor_pin.html">armnn_driver::ConstTensorPin</a></div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00092">ConversionUtils.hpp:92</a></div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_const_tensor_pin_html_ac532c4b500b1a85ea22217f2c65a70ed"><div class="ttname"><a href="classarmnn__driver_1_1_const_tensor_pin.html#ac532c4b500b1a85ea22217f2c65a70ed">armnn_driver::ConstTensorPin::IsValid</a></div><div class="ttdeci">bool IsValid() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00112">ConversionUtils.cpp:112</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00514">Tensor.cpp:514</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_ac0532f3c7d143a04aee7f5991ee5d381"><div class="ttname"><a href="namespacearmnn__driver.html#ac0532f3c7d143a04aee7f5991ee5d381">armnn_driver::GetOperandSummary</a></div><div class="ttdeci">std::string GetOperandSummary(const Operand &amp;operand)</div><div class="ttdef"><b>Definition:</b> <a href="_canonical_utils_8cpp_source.html#l00191">CanonicalUtils.cpp:191</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html">armnn::Pooling2dDescriptor</a></div><div class="ttdoc">A Pooling2dDescriptor for the Pooling2dLayer.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00371">Descriptors.hpp:371</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4a9bc35e069257a508e14ed82965a8661d">armnn::LayerType::Dequantize</a></div><div class="ttdeci">@ Dequantize</div></div>
 <div class="ttc" id="astructarmnn_1_1_reduce_descriptor_html"><div class="ttname"><a href="structarmnn_1_1_reduce_descriptor.html">armnn::ReduceDescriptor</a></div><div class="ttdoc">A ReduceDescriptor for the REDUCE operators.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01538">Descriptors.hpp:1538</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_ac092fff5c81f7938eea9a2479f014c66"><div class="ttname"><a href="namespacearmnn__driver.html#ac092fff5c81f7938eea9a2479f014c66">armnn_driver::GetInputActivationFunction</a></div><div class="ttdeci">bool GetInputActivationFunction(const Operation &amp;operation, uint32_t inputIndex, ActivationFn &amp;outActivationFunction, const Model &amp;model, const ConversionData &amp;data)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00856">ConversionUtils.hpp:856</a></div></div>
 <div class="ttc" id="anamespacearmnn__driver_html_a8d20245b5ca3cbb0b132064ab44f2682"><div class="ttname"><a href="namespacearmnn__driver.html#a8d20245b5ca3cbb0b132064ab44f2682">armnn_driver::GetOperandValueReadOnlyAddress</a></div><div class="ttdeci">const void * GetOperandValueReadOnlyAddress(const Operand &amp;operand, const Model &amp;model, const ConversionData &amp;data, bool optional)</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00798">ConversionUtils.cpp:798</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_null_pointer_exception_html"><div class="ttname"><a href="classarmnn_1_1_null_pointer_exception.html">armnn::NullPointerException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00146">Exceptions.hpp:146</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a5a212540c00931bd2a4b4041beda33ae"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a5a212540c00931bd2a4b4041beda33ae">armnn::TensorShape::GetDimensionality</a></div><div class="ttdeci">Dimensionality GetDimensionality() const</div><div class="ttdoc">Function that returns the tensor type.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
 <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdoc">Function that calculates the tensor elements by multiplying all dimension size which are Specified.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00181">Tensor.cpp:181</a></div></div>
 <div class="ttc" id="astructarmnn__driver_1_1_conversion_data_html_af3239731a47cf4c08a040c42ee855edc"><div class="ttname"><a href="structarmnn__driver_1_1_conversion_data.html#af3239731a47cf4c08a040c42ee855edc">armnn_driver::ConversionData::m_Backends</a></div><div class="ttdeci">const std::vector&lt; armnn::BackendId &gt; m_Backends</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8hpp_source.html#l00061">ConversionUtils.hpp:61</a></div></div>
 <div class="ttc" id="astructarmnn_1_1_pooling2d_descriptor_html_a0031997bf43bd2747656c31e4977793a"><div class="ttname"><a href="structarmnn_1_1_pooling2d_descriptor.html#a0031997bf43bd2747656c31e4977793a">armnn::Pooling2dDescriptor::m_PoolType</a></div><div class="ttdeci">PoolingAlgorithm m_PoolType</div><div class="ttdoc">The pooling algorithm to use (Max. Average, L2).</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l00405">Descriptors.hpp:405</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255"><div class="ttname"><a href="namespacearmnn.html#a56943a0946e5f15e5e58054b8e7a04a4acb17869fe51048b5a5c4c6106551a255">armnn::LayerType::Constant</a></div><div class="ttdeci">@ Constant</div></div>
 <div class="ttc" id="anamespacearmnn_html_ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f"><div class="ttname"><a href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::DataLayout::NCHW</a></div><div class="ttdeci">@ NCHW</div></div>
 <div class="ttc" id="aclassarmnn__driver_1_1_layer_input_handle_html_ac532c4b500b1a85ea22217f2c65a70ed"><div class="ttname"><a href="classarmnn__driver_1_1_layer_input_handle.html#ac532c4b500b1a85ea22217f2c65a70ed">armnn_driver::LayerInputHandle::IsValid</a></div><div class="ttdeci">bool IsValid() const</div><div class="ttdef"><b>Definition:</b> <a href="_conversion_utils_8cpp_source.html#l00028">ConversionUtils.cpp:28</a></div></div>
 <div class="ttc" id="anamespacearmnn_html_a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4"><div class="ttname"><a href="namespacearmnn.html#a56297e0f7b215eea46c818cb7528d9eaa21eebb164e4b8b9bcf64fdb4d8d5dff4">armnn::ActivationFunction::Sigmoid</a></div><div class="ttdeci">@ Sigmoid</div></div>
 <div class="ttc" id="aclassarmnn_1_1_i_input_slot_html_a81fbf6103761e55061b62ba989b00f10"><div class="ttname"><a href="classarmnn_1_1_i_input_slot.html#a81fbf6103761e55061b62ba989b00f10">armnn::IInputSlot::GetConnection</a></div><div class="ttdeci">virtual const IOutputSlot * GetConnection() const =0</div></div>
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